Senior Agentic Software Engineer - Sales

The Position

We are seeking an AI Security Engineer with strong Agentic AI development capabilitiesto embed and operationalize security across the enterprise software development lifecycle. 

This role combines hands-on application security reviews and security control validation with the engineering of security automation, AI-enabled security tooling, and agentic AI workflows, as well as the design and development of internal security tools based on requirements from leadership and cross-functional teams. 

The engineer will partner closely with Product, Platform teams to ensure that enterprise in-house applications, APIs, AI services, autonomous agents, and MCP-based integrations are designed, built, tested, and operated with effective security controls.

The role is a builder-defender hybrid: review systems, validate security controls, automate repeatable checks, and design and develop internal security tools.

What you will do:

• Perform security reviews for enterprise in-house applications across architecture, design, code, APIs, cloud services, data flows, and deployment patterns. 
• Embed security into the enterprise Secure SDLC for in-house applications from design and development through build, test, deployment, and runtime operation. 
• Develop agentic AI workflows and tools that automate repeatable AppSec activities such as application intake, evidence collection, control checks, threat-model preparation, finding enrichment, risk summarization, remediation guidance, and ticket/workflow creation. 
• Build secure integrations between AI agents and engineering/security platforms through APIs, webhooks, CI/CD interfaces, and approved tool connectors. 
• Perform other duties as assigned by the direct supervisor. 

What we need from you: 

• Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, Software or related field. 
• 3+ years of experience in application security or software engineering with meaningful security responsibilities. 
• Strong hands-on software development skills (for example, Python, JavaScript/TypeScript, Go, or similar)  
• Experience working with DevOps workflows, source control, pull requests, build pipelines, artifact repositories, and developer issue-tracking processes. 
• Familiarity with application and AI security guidance such as OWASP Top 10 / API Security Top 10, OWASP ASVS, OWASP AI/LLM guidance, MITRE ATLAS, and secure development practices.

Why You'll Love Working Here 

• Meaningful work with passionate colleagues.
• International working environment in global leading Cybersecurity product company.
• Attractive compensation, regular assessments, and salary reviews.
• 13-month bonus & performance bonus.
• 100% salary, full insurances on probationary period.
• Extra-health care program (PVI) for employees and family members.
• 15 to 20+ paid day off per year.
• Attractive benefits for team activities (team building, team outing, sport, trade union activities).
• Nice open office on the top of a building in District 3 full of accessories for active recreation, sport, fruits, coffee, and tea.

The Position 

OPSWAT is building the internal AI & Data platform that will power every non-engineering function at the company — Finance, HR, Legal, Sales Ops, Marketing, CX, IT, Security, and Supply Chain. We are not buying our way out of this problem with off-the-shelf SaaS; we are building it ourselves, with AI-accelerated development, and we need a leader to own the foundation. 

As Director of AI Platform & Data, you will own the AI Platform pillar end-to-end and be accountable to executive leadership for its outcomes. You will run the connective tissue that makes company-wide AI enablement real: the MCP servers and gateway, the agent runtime and orchestration layer, the AI-native data platform that feeds them, the analytics layer that surfaces insight through conversation rather than dashboards, and the governance framework that keeps it all safe. You will lead a multi-team organization, make the platform decisions, set the technical and product direction, and represent this pillar to the CEO, COO, and senior leadership. This role is for someone who thinks like a founder, builds like an engineer, and leads like an operator — someone ready to run an org, not assist in running one. 

What You Will Be Doing 

• Own the strategy, roadmap, and execution for the AI Platform & Data pillar end-to-end: MCP servers, agent runtime and orchestration framework, AI-native data platform, analytics products, and governance. 

• Scale and lead a multi-team organization spanning Orchestration, Data Engineering, Analytics, and Governance; recruit, mentor, and develop engineering managers and technical leads — and raise the bar on the leaders you inherit. 

• Build the AI-native data platform — a foundation with CDC pipelines, a semantic layer designed for LLM consumption, lineage, freshness SLAs, and a quality framework that makes agent outputs trustworthy by default. 

• Reinvent the analytics function. Move the company from static dashboards to agent-driven insights: natural-language analytics, autonomous deep-dives, anomaly detection, and proactive surfacing of business signals to the teams that need them. 

• Define and enforce the architectural patterns that let product teams across Finance, HR, Legal, CX, Supply Chain, and GTM Systems ship AI-powered internal workflows on the shared platform — without rebuilding plumbing every time. 

• Own OPSWAT’s private LLM strategy and operating model, including model selection, fine-tuning and post-training, secure deployment, inference infrastructure, evaluation, observability, and lifecycle management. Build private models that can power internal agents, AI-assisted SDLC, and sensitive-data workflows where public or externally hosted models are not appropriate. 

• Establish the architecture and decision framework for routing workloads between OPSWAT-hosted models and approved external foundation models based on data classification, security requirements, latency, quality, and cost. 

• Build and govern the training and evaluation data pipelines required to improve OPSWAT’s private models, including dataset curation, anonymization, access controls, versioning, benchmarking, red-team testing, and protection against data leakage. 

• Partner with Security, Engineering, Legal, and Product teams to define private-model use cases across secure coding, internal knowledge retrieval, cybersecurity analysis, operational agents, and regulated or customer-sensitive workflows. 

• Eliminate shadow IT by making the platform the obvious choice: design MCP servers, data connectors, and agent primitives that are faster, safer, and easier than DIY alternatives. 

• Establish the governance framework — model access, data classification, audit, evaluation, cost controls — that lets the company adopt AI broadly without compromising security or compliance. 

• Drive a development culture that runs ahead of the industry curve on agentic coding, AI-assisted SDLC, and internal tooling velocity — the platform team should be the most productive engineering team in the company. 

• Represent the pillar to executive leadership, business function heads, and external partners; own the narrative, the roadmap, and the results. 

What We Need From You 

• 10+ years in software, data, or platform engineering, with 6+ years leading engineering teams and at least 2 years managing managers. 

• Demonstrated track record building and shipping platform products at scale — internal developer platforms, AI/ML infrastructure, modern data platforms, or equivalent. 

• Deep hands-on fluency with the modern AI stack: LLMs, RAG, agent frameworks (LangGraph, LangChain, or equivalent), MCP, prompt engineering, and evaluation/observability. 

• Hands-on understanding of private LLM deployment and optimization, including open-weight models, supervised fine-tuning, preference optimization, quantization, inference serving, GPU infrastructure, model evaluation, and secure model operations. 

• Experience designing hybrid AI architectures that intelligently route requests between private models and commercial foundation models while maintaining security, quality, latency, and cost controls. 

• Strong data engineering and analytics foundation: lakehouse architectures (Fabric, Databricks, Snowflake), CDC, streaming, dbt-style transformation, semantic layers, and analytics-grade data quality. You have built data platforms that serve both humans and machines. 

• Security and governance mindset — you have built systems that needed to pass audit, not just demos. 

• Proven ability to partner with non-technical business functions and translate ambiguous requirements into platform capabilities. 

• An innovator’s instinct paired with an operator’s discipline: you bring ideas to the table proactively, then ship them with rigor. 

• Excellent written and verbal communication; you can hold the room with the CEO and pair-program with an IC in the same week. 

It Would Be Nice If You Had 

• Background in cybersecurity, critical infrastructure, or another regulated industry. 

• Experience fine-tuning or post-training open-weight models for enterprise, cybersecurity, software engineering, or domain-specific use cases. 

• Familiarity with private inference platforms and tooling such as vLLM, SGLang, Hugging Face, NVIDIA NIM, Kubernetes-based GPU serving, or equivalent technologies. 

• Experience automating revenue operations, finance, HR, or legal workflows through AI. 

• Familiarity with SugarCRM, Salesforce, or comparable enterprise system metadata and integration patterns. 

• Experience standing up MCP servers, agent infrastructure, or AI gateways in production. 

• A point of view on how AI is changing the way internal engineering teams ship software, and how to bring that perspective to a 700+ person company. 

The Position

We are seeking a builder-operator hybrid—a Director of Supply Chain who can architect and scale a mature supply chain capability from the ground up, while remaining deeply involved in day-to-day operations. This role is hands-on and based in our Tampa warehouse, with a strong emphasis on build quality, QA/QC, and operational excellence.

You will be responsible for designing and executing a supply chain strategy that supports OPSWAT’s hardware growth, ensuring every unit shipped meets our standards for quality, branding, and customer experience.

What You Will Be Doing

• Build & Scale Supply Chain Capability
  Architect and implement scalable supply chain processes, systems, and vendor networks to support OPSWAT’s hardware growth trajectory.
• Hands-On QA/QC Oversight
  Lead quality assurance and control efforts in the Tampa warehouse, including hardware assembly, imaging, testing, and packaging. Ensure every unit meets functional, security, and branding standards.
• Warehouse Execution & Fulfillment
  Oversee daily operations in the Tampa warehouse, including inventory control, ERP data accuracy, and fulfillment workflows.
• Cross-Functional Collaboration
  Partner with Product Management to align supply chain execution with product specs. Work with Creative and GTM teams to ensure packaging and branding elevate the customer experience.
• Vendor & Logistics Management
  Build and manage relationships with suppliers, carriers, and logistics partners. Ensure compliance with export regulations and hardware-specific controls.
• Operational Metrics & Continuous Improvement
  Define and track KPIs across procurement, fulfillment, and QA/QC. Drive continuous improvement initiatives to enhance efficiency and quality.
• Team Leadership
  Hire, mentor, and lead a high-performing team of supply chain and warehouse professionals.

What We Need From You

• Bachelor’s degree in Supply Chain Management, Business, Engineering, or related field; MBA preferred.
• 10+ years of experience in supply chain operations, preferably in hardware or technology sectors.
• Proven track record of managing global logistics, procurement, and fulfillment operations.
• Must possess a strong understanding of global compliance requirements, with a particular focus on export regulations and hardware specific controls when distributing goods across international borders.
• Strong understanding of ERP systems (e.g., NetSuite), demand planning, and inventory control.
• Excellent communication and cross-functional collaboration skills.
• Experience working in a fast-paced, high-growth environment.

What We Offer

• Bachelor’s degree in Supply Chain, Engineering, or related field; MBA preferred
• 10+ years in supply chain operations, with experience in building capabilities—not just running them
• Deep understanding of hardware QA/QC, ERP systems (NetSuite), and global logistics
• Experience in hands-on warehouse operations, including assembly, imaging, and testing
• Strong grasp of export compliance and international trade regulations
• Proven ability to lead cross-functional initiatives and drive operational excellence
• Comfortable in a fast-paced, high-growth environment with shifting priorities

The Position

OPSWAT is a global leader in critical infrastructure protection — trusted by governments, defense agencies, and enterprise organizations across the world. We build technology that keeps the world's most sensitive environments secure. Our Singapore office is a strategic hub for our APAC and global operations, and this role sits at the center of that growth.

We are building — not inheriting. This is a hands-on Director role for a builder-operator who can architect a world-class supply chain capability from the ground up and run it with precision. You will own the full picture: strategy, QA/QC, warehouse execution, vendor relationships, compliance, and team development. If you thrive in environments where you create the playbook and then execute it, this is your role.

If you’re interested in working as a Director of Supply Chain at OPSWAT, please apply, and we will get in touch!

You Will Have the Opportunity to

• Build and Scale Supply Chain Capability
  • Architect and implement scalable supply chain processes, systems, and vendor networks to support OPSWAT's hardware growth trajectory across APAC and globally.
  • Define the operating model — from sourcing through delivery — and build the infrastructure to sustain it.
• Hands-On QA/QC Leadership
  • Lead quality assurance and control across hardware assembly, imaging, testing, and packaging.
  • Ensure every unit shipped meets OPSWAT's functional, security, and branding standards — no exceptions.
• Warehouse Execution and Fulfillment
  • Oversee daily warehouse operations: inventory control, ERP data accuracy, and end-to-end fulfillment workflows.
  • Drive operational discipline in a fast-paced, high-volume environment.
• Cross-Functional Collaboration
  • Partner with Product Management to align supply chain execution with product specifications and launch timelines.
  • Work alongside Creative and GTM teams to ensure packaging and branding deliver a premium customer experience.
• Vendor and Logistics Management
  • Build and manage strategic relationships with suppliers, carriers, and logistics partners across APAC and internationally.
  • Ensure full compliance with APAC and international export regulations and hardware-specific controls
• Shipping and Customs Management
  • Manage end-to-end shipping operations — domestic and cross-border — ensuring on-time delivery at optimal cost.
  • Navigate customs processes, import/export documentation, and trade compliance requirements across multiple jurisdictions.
  • Partner with freight forwarders and customs brokers to resolve issues proactively and keep shipments moving.
• Operational Metrics and Continuous Improvement
  • Define and track KPIs across procurement, fulfillment, and QA/QC.
  • Launch continuous improvement initiatives that raise quality standards and operational efficiency.
• Team Leadership
  • Hire, mentor, and lead a high-performing team of supply chain and warehouse professionals based in Singapore.
  • Build a team culture rooted in ownership, precision, and pride in work.

What We are Looking For

• Bachelor's degree in Supply Chain Management, Engineering, Business, or a related field; MBA preferred.
• 10+ years of supply chain operations experience, ideally in hardware or technology — with a track record of building capabilities, not just running them.
• Direct experience with global logistics, procurement, and fulfillment operations.
• Deep familiarity with ERP systems, particularly NetSuite, demand planning, and inventory control.
• Hands-on knowledge of hardware QA/QC — assembly, imaging, testing, and packaging.
• Strong command of APAC export regulations, international trade compliance, and hardware-specific controls.
• Fluency in English required; other language skills are an advantage.
• Comfortable leading through ambiguity in a high-growth, fast-moving environment.

Why You'll Love Working Here

• Strategic impact: You will build something that matters — a supply chain capability that directly enables OPSWAT's global hardware mission.
• Global reach: Work closely with teams across North America, Europe, and Asia-Pacific.
• Ownership culture: At OPSWAT, we trust our people to lead. You will have the autonomy to build, decide, and execute.
• Mission-driven work: Our technology protects critical infrastructure worldwide. The work has real stakes — and real meaning.
• Competitive compensation, comprehensive benefits package, and professional development support.

The Position

We seek a dedicated and experienced Hardware Fulfillment Technician to oversee the imaging, testing, and shipment of OPSWAT hardware for customer orders worldwide.

The ideal candidate will be a general expert in “everything” hardware, from Servers and desktops to IoT hardware. You will understand how hardware integrates to make a system, including discovering bottlenecks and performance issues with recommendations to improve our processes.

You will be responsible for improving our imaging processes and fulfillment strategies.

This is an in-office position based in our Ybor City warehouse.

What You Will be Doing

• Work in a team responsible for imaging OPSWAT hardware according to customer orders and standard operating procedures.
• Perform Quality Assurance (QA) and Quality Control (QC) testing to ensure all hardware meets OPSWAT's high standards.
• Create and help troubleshoot any software issues discovered during the fulfillment process.
• Oversee the packing and preparation of hardware for shipment.
• Update internal technical knowledge and assist in maintaining a design library.
• Collaborate with other departments to ensure timely and accurate fulfillment of orders.
• Maintain compliance with industry standards and regulations.
• Monitor processes for efficiency and suggest improvements where necessary.
• Ensure all fulfillment activities are documented accurately.
• Resolve any issues related to hardware fulfillment promptly.

What We Need from You 

• Strong knowledge of Operating Systems (Windows, Linux).
• Knowledge of individual hardware components.
• understanding of hardware imaging and QA/QC processes.
• Excellent problem-solving skills and attention to detail.
• Ability to work under pressure and meet tight deadlines.
• Strong organizational and multitasking skills.
• Excellent communication and interpersonal skills.
• Proficiency in using inventory management and tracking software.
• Familiarity with cybersecurity hardware is a plus.

The Position

We seek a dedicated and experienced Hardware Fulfillment Technician to oversee the imaging, testing, and shipment of OPSWAT hardware for customer orders worldwide.

The ideal candidate will be a general expert in “everything” hardware, from Servers and desktops to IoT hardware. You will understand how hardware integrates to make a system, including discovering bottlenecks and performance issues with recommendations to improve our processes.

You will be responsible for improving our imaging processes and fulfillment strategies.

This is an in-office position based in our Tampa office.

What You Will Be Doing

• Work in a team responsible for imaging OPSWAT hardware according to customer orders and standard operating procedures.
• Perform Quality Assurance (QA) and Quality Control (QC) testing to ensure all hardware meets OPSWAT's high standards.
• Create and help troubleshoot any software issues discovered during the fulfillment process.
• Oversee the packing and preparation of hardware for shipment.
• Update internal technical knowledge and assist in maintaining a design library.
• Collaborate with other departments to ensure timely and accurate fulfillment of orders.
• Maintain compliance with industry standards and regulations.
• Monitor processes for efficiency and suggest improvements where necessary.
• Ensure all fulfillment activities are documented accurately.
• Resolve any issues related to hardware fulfillment promptly.

What We Need From You

• Strong understanding of hardware imaging and QA/QC processes.
• Strong knowledge of Operating Systems (Windows, Linux).
• Strong knowledge of individual hardware components.
• Excellent problem-solving skills and attention to detail.
• Ability to work under pressure and meet tight deadlines.
• Strong organizational and multitasking skills.
• Excellent communication and interpersonal skills.
• Proficiency in using inventory management and tracking software.
• Familiarity with cybersecurity hardware is a plus.

About the Role 

We are looking for a Product Analyst who combines deep business understanding with analytical expertise to shape the internal products we build. As AI-powered analytics enables business teams to create their own reports and dashboards, this role focuses on defining and governing trusted metrics, working with data teams to ensure their reliability, and identifying opportunities to improve business workflows. Embedded within a product team, you will translate those insights into requirements and help develop data and analytical features that support better decisions and actions within the product itself. 

You will be assigned to Sales & Marketing domain and work alongside the product pod that serves it, with the data platform and modern AI tooling to build on. 

Key Responsibilities 

• Metric ownership: Own the definitions, documentation, and change control for your domain’s certified metrics. Maintain a single source of truth so that teams asking the same question get the same number, and act as the point of resolution when definitions are challenged or diverge. 
• Data quality: Define and enforce freshness, completeness, and accuracy expectations for the datasets and pipelines behind your domain’s metrics. Build automated dbt tests and monitoring into the pipelines you own, investigate failures and anomalies, trace root cause back to source, and escalate upstream issues to the Data Platform team with supporting evidence. 
• Analytics engineering (dbt): Design, build, and maintain the dbt models and semantic layer that serve your domain — written in SQL and Python, version-controlled in Git, tested, and documented. Follow the team’s modelling standards for layering, naming, and incremental logic, and keep dbt documentation and lineage current as models change. 
• In-product features: Build in-product data and insight features end to end: embedded metric panels and insight cards, exception and alert surfaces, prioritized work queues, agent-assisted workflow steps, and the instrumentation behind them. Prototype in a sandbox, then ship through engineering review, tests, and feature flags alongside the pod’s engineers. 
• Analysis & reporting: provide support to business users with more complex analytics requests, with the goal to enable them to self-service in the long run. 
• Collaboration: Partner with product managers, engineers, and business owners in your domain; document your work so others can use and extend it; and support business users querying certified metrics themselves. 

Required Skills & Qualifications 

• SQL (required): Strong query writing, data modeling, and performance-aware analytics against large datasets; comfortable with CTEs, window functions, and reading an execution plan when a query is slow. 
• Demonstrated ability to apply AI to data and product analysis, including using AI-assisted tools to investigate business questions, building and validating analytical outputs such as dashboards, reports, or prototypes, and developing semantic models and metric definitions that support reliable AI-powered analytics. 
• Python (required): Proficient in data analysis, transformation and automation scripting, and rapid prototyping (pandas or similar, working against APIs, testing your own code). 
• Experience: 3-5 years in analytics engineering, data analysis, BI, or a comparable data role, with at least one example of work you owned end to end. 
• Data quality instinct: Habit of validating your own numbers before publishing them — reconciliation against source, sanity checks, and a documented definition behind every metric you ship. 
• Business curiosity: Ability to learn a business process deeply and translate it into metrics, instrumentation, and requirements engineers can build against. 
• Communication: Clear written and verbal communication with business stakeholders; able to explain a number, defend a definition under challenge, and say when the data does not support the conclusion. 

Nice to Have 

• Experience with modern BI or AI-native analytics platforms and metric certification workflows. 
• Advanced dbt practice: custom generic tests, macros and packages, exposures, or CI-enforced model builds. 
• Data quality or observability tooling beyond dbt tests (Great Expectations, Elementary, or similar). 
• Hands-on use of agentic AI development tooling to prototype features or automate analysis. 
• Exposure to shipping software under engineering standards: version control, code review, tests, feature flags. 

The Role

Join OPSWAT's AI-first CFO organization to build AI-powered applications, intelligent automation, and agentic workflows that transform how Finance operates.

You'll partner directly with the CFO organization to design and deliver production AI systems that connect enterprise applications, automate complex financial workflows, and provide trusted financial intelligence across the business.

This is a hands-on engineering role with end-to-end ownership from architecture and implementation to deployment and continuous improvement. You'll focus on building, not managing projects or people.

What you’ll own 

• AI Applications & Agentic Systems
  • Design and build AI-powered applications, internal copilots, and agentic workflows for Finance, Accounting, Procurement, FP&A, Payroll, Tax, Treasury, and Investor Relations.
  • Build AI systems using LLMs, RAG, function calling, and AI agents to automate complex business workflows and augment human decision-making.
  • Develop intelligent assistants capable of reasoning over enterprise data, executing multi-step tasks, and orchestrating business processes.
  • Continuously identify high-impact opportunities where AI can improve productivity, accuracy, and operational efficiency.
• Backend Engineering & Enterprise Integrations
  • Build scalable backend services, APIs, and microservices that power AI applications.
  • Integrate AI solutions with enterprise platforms including NetSuite, SugarCRM, DealHub, HubSpot, Tipalti, Navan, Carta, and other internal systems.
  • Design reliable event-driven architectures and automated pipelines that keep AI applications synchronized with trusted enterprise data.
  • Build production-ready systems that are scalable, secure, observable, and maintainable.
• AI Analytics & Decision Support
  • Build AI-powered dashboards, reporting applications, and conversational interfaces that enable Finance teams to interact with business data naturally.
  • Deliver capabilities including financial Q&A, variance analysis, anomaly detection, forecasting support, and executive insights.
  • Transform financial intelligence into AI experiences that help business users make better decisions faster.
• Platform & Governance
  • Design secure, governed AI platforms with robust access control, monitoring, and data quality.
  • Ensure AI applications operate on trusted, continuously refreshed enterprise data.
  • Build enterprise-grade solutions that support auditability, compliance, and OPSWAT's long-term public company readiness.

What We're Looking For

• 5+ years of experience building production software as a Senior Software Engineer, Backend Engineer, Full-stack Engineer, or Applied AI Engineer.
• Strong software engineering fundamentals with Python and modern backend frameworks.
• Experience building scalable APIs, distributed systems, cloud-native applications, and enterprise integrations.
• Experience designing production systems with high reliability, security, and performance.

Why You'll Love Working Here

• Meaningful work with passionate colleagues.
• International working environment in global leading Cybersecurity product company.
• Attractive compensation, regular assessments, and salary reviews.
• 13-month bonus & performance bonus.
• 100% salary, full insurances on probationary period.
• Extra-health care program (PVI) for employees and family members.
• 15 to 20+ paid day off per year.
• Attractive benefits for team activities (team building, team outing, sport, trade union activities).
• Nice open office on the top of a building in District 3 full of accessories for active recreation, sport, fruits, coffee, and tea.

The Position

We are looking for a hands-on Senior Agentic Software Engineer to work closely with OPSWAT’s international Legal team and help accelerate and expand Legal’s use of AI and automation workflow. This role is part of the Enterprise Applications team and will operate as the dedicated Senior Agentic Software Engineering partner for Legal. The engineer will work day to day with Legal, join Legal team meetings, follow Legal’s priorities and roadmap, and translate Legal’s business, compliance, confidentiality, and governance requirements into practical technical solutions. 

The role will focus on building production AI applications, intelligent automations, agentic workflows, integrations, and analytics that improve how Legal operates across contracts, compliance, privacy, corporate governance, employment, regulatory monitoring, intake, knowledge management, and legal operations. 

What You Will Be Doing

• Build, support, and integrate Legal AI and automation solutions across Legal’s core tools and platforms, including Chamelio for contract lifecycle management, Microsoft 365 Copilot, Claude, OneTrust, OPSWAT’s internally built Legal Service Desk and Entity Management system, and related enterprise applications, data platforms, document repositories, systems of record, and approved data sources. 
• Design and build new AI-powered legal applications, internal copilots, intelligent automations, agentic workflows, and API-based integrations that improve speed, consistency, visibility, quality, and control. 
• Serve as the technical translator for Legal: explain architecture, system limitations, access controls, data flows, integrations, model behavior, implementation trade-offs, and risk implications in plain language so Legal can make informed compliance and governance decisions. 
• Partner with Legal stakeholders to identify high business impact use cases, understand workflows, define requirements, prioritize the engineering backlog, and deliver solutions that Legal can adopt and use in practice. 
• Manage Legal AI solutions end to end, from discovery, architecture, development, testing, deployment, monitoring, documentation, user training, support, adoption measurement, and continuous improvement. 
• Help protect privileged, confidential, personal, employee, and sensitive business data through secure-by-design architecture, appropriate access controls, audit logging, retention alignment, and privacy-by-design practices. 
• Develop and operate evaluation, testing, and quality frameworks for Legal AI outputs, including accuracy, reliability, defensibility, source grounding, human review, and escalation to Legal where judgment is required. 
• Partner closely with Enterprise Applications, IT, Data, Security, and Legal to ensure Legal AI solutions align with enterprise architecture, security standards, governance requirements, and Legal’s operating model.  

What We Need From You

• 5+ years of hands-on experience in software, data, automation, integration, platform, or applied AI engineering. 
• Production engineering: Five or more years building and operating production software, with a track record of taking solutions from prototype to supported production. 
• Languages and fundamentals: Python required; TypeScript or C# a plus. Tested, maintainable services; APIs; relational and document data stores; CI/CD; containers at a working level. 
• Applied agentic AI: Successfully built and deployed production applications on LLM APIs that use retrieval-augmented generation, tool calling and multi-step agent workflows with human-in-the-loop controls and structured outputs. 
• Evaluation discipline: You have built evaluation sets and quality metrics for LLM outputs and used them to gate releases. 
• Document processing: Experience building document-processing pipelines that parse, OCR, extract, classify, and structure information from contracts, policies, corporate records, and other unstructured documents at realistic enterprise scale. 
• Security fundamentals: Authentication and authorization, secrets management, encryption, audit logging and privacy by design, applied in systems that handled sensitive data. 
• AI-assisted development: Experience using agentic coding tools as a core part of how you build, and can show production work delivered faster because of it.  
• Working with a non-technical function: Ability to work effectively with non-technical legal function, understand legal and compliance workflows, explain technical concepts clearly, challenge assumptions where needed, and convert legal priorities into practical engineering solutions . 
• Language: Fluent English, written and spoken. Vietnamese is an advantage. 

Education 

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field, or equivalent practical experience. 
• Relevant cloud, security, data, or AI engineering certifications are an advantage. 

Why You'll Love Working Here

• Meaningful work with passionate colleagues.
• International working environment in global leading Cybersecurity product company.
• Attractive compensation, regular assessments, and salary reviews.
• 13-month bonus & performance bonus.
• 100% salary, full insurances on probationary period.
• Extra-health care program (PVI) for employees and family members.
• 15+ paid day off per year.
• Attractive benefits for team activities (team building, team outing, sport, trade union activities).
• Nice open office on the top of a building in District 3 full of accessories for active recreation, sport, fruits, coffee, and tea.

The Position

We are looking for an innovative engineer for the GTM Product Team to strengthen the technology beneath OPSWAT's marketing operations. Marketing runs on HubSpot today, and it works hard for us: 1.1 million contacts, 817 active workflows, and the integrations that connect it to SugarCRM, Salesloft, My OPSWAT, websites and our data master. Your first job is to make that foundation more reliable — keeping the integrations healthy, resolving the sync and data-quality issues that slow the team down, and giving Marketing Operations a technical partner who understands their platform from the inside.

From there, you will help us build the next generation of that capability in house. The four functions HubSpot performs for us are the roadmap: marketing automation and email; lead capture from web, portal, events and webinars; lead management, meaning scoring, lifecycle and routing; contact data governance and consent and tight integration with our OPSWAT Data Master (ODM). Along the way you will bring AI into the product to enable smarter lead qualification, routing and scoring and more automated campaign managements.

What You Will Be Doing

Build the Platform

• Build one governed front door for every lead, whatever the source — web forms, My OPSWAT, webinars, field events, partner and list imports — so each lead is validated, de-duplicated, consented and enriched once, at the gate, and nothing reaches the CRM or the data spine any other way.
• Build AI-native lead qualification: a model that reads fit and engagement across every signal we hold — product usage in My OPSWAT, Academy progress, web behavior, intent, firmographics — ranks the whole database with real resolution, explains every score in plain language, and learns from what SDRs actually convert.
• Build intelligent lead routing: the right lead to the right rep at the right moment, with territory, capacity, availability and priority held as data that Marketing Operations can shape and preview themselves, and a decision record behind every assignment so anyone can see why a lead went where it did.
• Make every hand-off dependable: each lead tracked from capture to first touch, stalls surfaced automatically, every priority tier followed up, and nothing lost between systems.
• Give Marketing Operations a self-service campaign layer: per-campaign behavior — routing, priority, nurture — configured in minutes with a preview of what it would have done to yesterday's leads, so new campaigns stop requiring new workflows and old overrides expire on their own.
• Build the platform AI-native from day one: expose its data and actions through an MCP server so OPSWAT's internal agents and assistants can look up a lead, explain a routing decision, or trigger a campaign action in natural language — and design every capability so an agent can use it as readily as a person can.
• Make consent and suppression a single source of truth, enforced at the gate and impossible to bypass, and stream every signal and every decision into OPSWAT Data Master so marketing, product and sales data finally join in one place.
• Build the seams to SugarCRM, the email service provider, visitor identification, enrichment and My OPSWAT so that a failure in any one of them is contained, retried and visible — never silent, never lossy.
• Leveraging OPSWAT Agentic SDLC — use the Platform team's agentic coding platform as your primary means of production, own the quality and security of what ships, and document the system as you go so it stays knowable.

Keep HubSpot Running Through the Transition

• Own the health of HubSpot's existing integrations until each one is retired: the SugarCRM sync through the Sugar Data Tool, Salesloft, the My OPSWAT feed (portal and Academy), 6sense enrichment, web forms and the Forms API.
• Triage and resolve integration incidents across HubSpot and its neighbors — root-cause them, fix them permanently, and write down what happened.
• Make safe, minimal changes in HubSpot when the business needs them, and hold the line against new workflow and list sediment that the migration would only have to unwind.
• Build the Forms Gateway pull-forward so website capture decouples from HubSpot early, and run the interim enrollment connector that keeps Salesloft working through cutover.
• Reconcile HubSpot and platform data continuously during the parallel run so drift is caught long before a cutover gate.

What We Need From You

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
• 6+ years building and operating production backend systems, with at least 3 in Python
• Demonstrated, recent, daily practice building software with AI coding agents (Claude Code, Cursor, Copilot agent mode, Codex or similar). You can show us the workflow, the review and test loop, and something real that shipped through it.
• Production support of a marketing automation platform's integrations — HubSpot strongly preferred; Marketo or Pardot considered — including its APIs, its data model, and its sync to a CRM. You have kept one of these healthy while other things changed around it.
• Production experience with event-driven and durable-execution patterns: message queues, outboxes, idempotency keys, replay. Temporal or a comparable workflow engine strongly preferred.
• Hands-on integration engineering against real vendor APIs — REST, webhooks, OAuth 2.0, rate limits, retries — built and operated, not configured through a wizard.
• PostgreSQL to a strong level: schema design, JSONB, partitioning, migrations with Alembic, and query performance work you can describe.
• Cloud deployment on Azure or AWS: containers, infrastructure as code (Terraform or Bicep), CI/CD with GitHub Actions, secrets management, observability.
• Experience shipping LLM features into a product: structured outputs, evaluation discipline, confidence thresholds, fallbacks and guardrails — consuming a provided model gateway rather than building the infrastructure.
• Excellent written and spoken English, and the skill to explain a technical trade-off to a marketing operations lead in their terms.

It Would Be Nice If You Had

• SugarCRM logic hooks and REST API, or another CRM's server-side extension model; Salesforce Apex or triggers transferable.
• Marketing technology domain knowledge: lead scoring and routing, consent and suppression, deliverability and ESP warm-up, campaign attribution.

The Position

OPSWAT is committed to harnessing the power of AI to drive meaningful advancements across all areas of our business. We are currently seeking a highly skilled Senior AI Engineer to lead the deployment and optimization of Large Language Models for efficient, high performance inference on GPU hardware.

In this role, you will own the infrastructure layer that turns our AI models into fast, cost effective, production grade services. You will work closely with the AI/ML Team, the Enterprise & Data Team, and Infrastructure to design local LLM serving environments, maximize GPU utilization, and apply model compression techniques such as quantization from FP32 down to FP8/FP4. This is a chance to work at the deep intersection of models, serving software, and hardware within a global cybersecurity company, delivering the performance that powers OPSWAT's AI products at scale.

What You Will Do

• Local LLM Deployment & Hardware Setup: Design and build local LLM serving environments on GPU hardware, selecting GPU configurations based on VRAM, memory bandwidth, and workload. Install and maintain the full inference stack (NVIDIA drivers, CUDA, cuDNN, inference engines) across single and multi GPU deployments, including tensor and pipeline parallelism.
• Inference Optimization & Model Compression: Optimize LLM models for efficient GPU serving, balancing latency, throughput, memory, and cost. Apply quantization from FP32 to FP16/BF16, FP8, and FP4 using PTQ methods (GPTQ, AWQ, SmoothQuant) and QAT. Design mixed precision strategies and run calibration to minimize quality loss. Apply complementary techniques including pruning, distillation, and sparsity.
• Serving Engine & Performance Engineering: Deploy and tune high throughput serving engines (vLLM, TensorRT-LLM, TGI), optimizing KV cache (PagedAttention), continuous batching, and speculative decoding. Leverage optimized kernels (FlashAttention) and FP8 tensor cores. Build benchmarking for TTFT, inter token latency, throughput, GPU utilization, and cost per million tokens.
• Production Serving Infrastructure: Deploy quantized models with autoscaling, load balancing, and observability. Establish quality regression gates and run A/B tests of quantized vs full precision models on real traffic.
• Research & Propose Innovative Solutions: exploring and implementing novel inference optimization and model compression techniques.

What We Need From You

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of experience in software engineering, with a focus on ML infrastructure, LLM inference, or model optimization.
• Hands on experience deploying and serving LLMs on GPU hardware in production.
• Strong understanding of quantization and model compression (FP8/FP4/INT8/INT4, GPTQ, AWQ, SmoothQuant, QAT).
• Experience with high throughput inference engines (vLLM, TensorRT-LLM, TGI, llama.cpp).
• Solid understanding of GPU architecture, CUDA, and the memory bandwidth bound nature of LLM inference.
• Familiarity with KV cache, continuous batching, PagedAttention, and speculative decoding.
• Solid understanding of software development methodologies (Agile, Scrum, etc.).
• Good communication, collaboration, and problem solving skills.
• Ability to work independently and as part of a team in a fast paced environment.
• Proficiency in Python; familiarity with C++/CUDA is a strong plus.

It Would Be Nice if You Have

• Experience writing or tuning custom CUDA / Triton kernels.
• Experience with multi GPU and distributed inference.
• Certifications in AWS or Azure architecture.
• Experience with CI/CD and cloud production deployment (Azure, AWS, or GCP), including GPU backed instances.

The Position

We are looking for a hands-on Senior AI Native Software Engineer to join our Enterprise Platform teams. You will build and continuously improve OPSWAT's leading cybersecurity products for protecting the world's critical infrastructure;  setting the technical bar, driving AI-augmented engineering practices, and shaping how we design, build, and ship secure software at scale.

What You Will be Doing

• Design, develop, and ship complex, high-quality software across AI SDLC, with strong performance, scalability, and security.
• Leverage AI-assisted tools (e.g., GitHub Copilot, Claude, Cursor) across coding, testing, refactoring, code review, and documentation and help define team standards and guardrails for responsible AI use.
• Prototype, evaluate, and productionize AI/LLM (Large Language Model) capabilities within OPSWAT products where they add customer value.
• Collaborate with product managers, designers, and engineers to define requirements, design features, and deliver high-impact products.
• Lead code reviews, troubleshoot complex defects and production issues, and enforce engineering best practices.
• Drive continuous improvement of development processes, tools, and standards, including AI-augmented workflows.
• Ownership architectural discussions, own key technical decisions, and mentor junior and mid-level developers.
• Document technical designs, specifications, and processes.

What We Need from You

• At least 05 years of relevant experience, including owning complex features or systems end to end.
• Hands-on experience with both back-end (.NET, Python) and front-end (ReactJS, HTML and CSS, Tailwind, etc.).
• Practical experience using AI-assisted development tools, with sound judgment on where AI adds value and where human oversight is required.
• Strong knowledge of data structures, algorithms, software design principles and patterns, and software development methodologies (Agile, Scrum, etc.).
• Experience with database design and technologies (SQL, NoSQL, such as MSSQL/Postgres, CosmosDB).
• Experience designing, creating, and maintaining REST APIs, and proficiency with version control (e.g., Git, BitBucket).
• Experience with testing frameworks and methodologies (unit, integration, end-to-end).
• Strong problem-solving, communication, and collaboration skills, with the ability to lead initiatives independently.

It Would be Nice if You Had

• Experience building or integrating LLM/AI features (e.g., RAG (Retrieval-Augmented Generation), prompt engineering, AI agents, or AI SDKs) into production software.
• Experience with cloud platforms (e.g., Azure, AWS), CI/CD (Continuous Integration/Continuous Delivery) pipelines, and DevOps practices (e.g., TeamCity, BitBucket).
• Familiarity with containerization (e.g., Docker, Kubernetes).
• Experience in the cybersecurity domain or another industry relevant to OPSWAT.

The Position

We are seeking a Senior Atlassian Administrator to serve as the technical authority for our entire Atlassian Cloud environment. This person will both design the platform architecture and perform hands-on configuration and administration across Jira Software, Jira Service Management, Jira Assets and Confluence.

The platform supports two very different audiences. Software engineering depends on it for the full development lifecycle, and IT depends on it for service management. The successful candidate will design the platform around how those teams actually work, then build, govern and document it so the result is standardized, scalable, secure and increasingly automated.

This position is ideal for someone who understands Atlassian Cloud deeply, understands software engineering and IT service management as processes rather than as ticket types, and is comfortable operating as the organization’s primary Atlassian specialist.

What You Will be Doing

• Platform Architecture and Governance: Own the architecture, configuration standards, security, and technical direction of the Atlassian Cloud estate. Define how products are structured, keep that structure consistent as the company grows, and retire configuration debt before it accumulates.
• Jira Software and the Development Lifecycle: Design Jira structures and workflows that support software engineering end to end: requirements, roadmap, epics, stories, development, testing, defect management, release, production and hotfix. Partner with Engineering, Product, QA and DevOps to translate their processes into a Jira architecture they can actually work in.
• Jira Service Management: Own service projects, request types, portals, queues, SLAs, approvals and ITSM workflows, so that service delivery is standardized and measurable.
• Jira Assets and CMDB: Design and maintain the Assets schema: object types, attributes, relationships, imports and lifecycle management. Integrate Assets into JSM workflows and automation so asset data drives real processes rather than sitting unused.
• Confluence and Knowledge Architecture: Own space architecture, permissions, templates and knowledge management, including the JSM knowledge base and development documentation.
• Cloud Administration and Identity: Administer the organization level: users, groups, product access, administrative roles, managed accounts, authentication, organization policies and audit logs. Apply consistent identity and access governance across all products.
• Automation and Integration: Design automation across the platform and build integrations with GitHub, CI/CD pipelines, Microsoft 365, Teams, Entra ID, security tooling and other enterprise systems, using REST APIs, webhooks and JSON.
• Marketplace Applications and Licensing: Evaluate marketplace applications, eliminate overlapping tooling, control cost and manage renewals.
• AI and Rovo: Identify where Atlassian Rovo and AI agents genuinely help, validate them before they reach production, and measure the result.
• Standards, Documentation and Enablement: Document the platform so it can be supported by more than one person, set the standards others follow, and raise Atlassian capability across IT and engineering teams.

What We Need from You

• Education: Bachelor’s degree in Computer Science, Information Technology, a related technical discipline, or equivalent experience.
• Atlassian Experience: Five years or more of Atlassian administration, including three years or more with Atlassian Cloud and three years or more with Jira Service Management, plus significant experience supporting Jira Software for a software engineering organization. Experience limited to creating tickets or administering individual Jira projects will not meet the bar for this role.
• Software Development Lifecycle: A working understanding of software engineering process, not only Jira configuration. Agile, Scrum and Kanban, sprint planning, estimation and capacity, CI/CD, release management, technical debt, dependencies and engineering metrics, and how GitHub commits, branches, pull requests, builds and deployments relate back to Jira work. You do not need to be a software developer, but you must be technically fluent enough to sit with Engineering, Product, QA and DevOps and translate what they do into platform design.
• Jira Service Management Expertise: Deep hands-on experience with service projects, request types, portals, queues, SLAs, approvals and ITSM workflow design.
• Assets and CMDB: Practical experience designing Assets schemas, object relationships, imports and lifecycle management, and integrating Assets into JSM workflows and automation.
• Confluence Expertise: Hands-on administration of Confluence Cloud, including space architecture, permissions, groups, templates, knowledge management and Jira integration.
• Cloud Administration and Identity: Experience administering Atlassian Cloud at the organization level, and with enterprise identity concepts including SSO, SAML, user provisioning, directory synchronization, role-based access and user lifecycle management. Experience integrating Atlassian Cloud with Microsoft Entra ID or Okta is strongly preferred.
• Automation and Integration: Advanced experience designing Atlassian automation, with practical work in REST APIs, JSON, webhooks, authentication and API troubleshooting. Scripting in PowerShell, Python, Groovy, JavaScript or another applicable language.
• Communication and Independent Ownership: Strong written and spoken English, and the ability to communicate with software engineers, IT engineers, product and project managers, business stakeholders and executive leadership. You must be comfortable operating as the organization’s primary Atlassian specialist: investigating problems independently, evaluating alternatives, recommending solutions, setting standards and delivering against an agreed roadmap.

It Would be Nice if You Had

• Atlassian Certified Jira Administrator, Jira Service Management, or Atlassian Cloud certifications
• Atlassian Guard, Atlassian Analytics or Rovo experience
• Experience developing or deploying AI agents
• Experience designing enterprise CMDB solutions
• Experience consolidating or migrating Jira projects or instances into Atlassian Cloud
• Experience with GitHub and Jira development integrations, or integrating Jira with CI/CD pipelines
• Experience with software release management processes
• Experience with marketplace applications such as Tempo, ScriptRunner or Jira Align
• ITIL or other IT Service Management experience
• Experience supporting audit or compliance requirements
• Experience working in cybersecurity or another compliance-focused environment
• Experience mentoring or training other engineers

About the Role 

We are looking for a Senior Data Engineer who combines deep business understanding with analytical expertise to shape the internal products we build. As AI-powered analytics enables business teams to create their own reports and dashboards, this role focuses on defining and governing trusted metrics, working with data teams to ensure their reliability, and identifying opportunities to improve business workflows. Embedded within a product team, you will translate those insights into requirements and help develop data and analytical features that support better decisions and actions within the product itself. 

You will be assigned to Sales & Marketing domain and work alongside the product pod that serves it, with the data platform and modern AI tooling to build on. 

Key Responsibilities 

• Metric ownership: Own the definitions, documentation, and change control for your domain’s certified metrics. Maintain a single source of truth so that teams asking the same question get the same number, and act as the point of resolution when definitions are challenged or diverge. 
• Data quality: Define and enforce freshness, completeness, and accuracy expectations for the datasets and pipelines behind your domain’s metrics. Build automated dbt tests and monitoring into the pipelines you own, investigate failures and anomalies, trace root cause back to source, and escalate upstream issues to the Data Platform team with supporting evidence. 
• Analytics engineering (dbt): Design, build, and maintain the dbt models and semantic layer that serve your domain — written in SQL and Python, version-controlled in Git, tested, and documented. Follow the team’s modelling standards for layering, naming, and incremental logic, and keep dbt documentation and lineage current as models change. 
• In-product features: Build in-product data and insight features end to end: embedded metric panels and insight cards, exception and alert surfaces, prioritized work queues, agent-assisted workflow steps, and the instrumentation behind them. Prototype in a sandbox, then ship through engineering review, tests, and feature flags alongside the pod’s engineers. 
• Analysis & reporting: provide support to business users with more complex analytics requests, with the goal to enable them to self-service in the long run. 
• Collaboration: Partner with product managers, engineers, and business owners in your domain; document your work so others can use and extend it; and support business users querying certified metrics themselves. 

Required Skills & Qualifications 

• SQL (required): Strong query writing, data modeling, and performance-aware analytics against large datasets; comfortable with CTEs, window functions, and reading an execution plan when a query is slow. 
• Demonstrated ability to apply AI to data and product analysis, including using AI-assisted tools to investigate business questions, building and validating analytical outputs such as dashboards, reports, or prototypes, and developing semantic models and metric definitions that support reliable AI-powered analytics. 
• Python (required): Proficient in data analysis, transformation and automation scripting, and rapid prototyping (pandas or similar, working against APIs, testing your own code). 
• Experience: 3-5 years in analytics engineering, data analysis, BI, or a comparable data role, with at least one example of work you owned end to end. 
• Data quality instinct: Habit of validating your own numbers before publishing them — reconciliation against source, sanity checks, and a documented definition behind every metric you ship. 
• Business curiosity: Ability to learn a business process deeply and translate it into metrics, instrumentation, and requirements engineers can build against. 
• Communication: Clear written and verbal communication with business stakeholders; able to explain a number, defend a definition under challenge, and say when the data does not support the conclusion. 

Nice to Have 

• Experience with modern BI or AI-native analytics platforms and metric certification workflows. 
• Advanced dbt practice: custom generic tests, macros and packages, exposures, or CI-enforced model builds. 
• Data quality or observability tooling beyond dbt tests (Great Expectations, Elementary, or similar). 
• Hands-on use of agentic AI development tooling to prototype features or automate analysis. 
• Exposure to shipping software under engineering standards: version control, code review, tests, feature flags.