At Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale.

We’re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you’ll build the core infrastructure that powers AI products for some of the world’s largest enterprises—designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance. 

This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.

At Scale, we don’t just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.

You Will:

• Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure.
• Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.
• Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.
• Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.
• Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments.
• Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.
• Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready.

Ideally, You Have:

• 4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability.
• Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.
• Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.
• Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications.
• Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production.
• Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments.
• Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments.

Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.

We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply! 

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for an experienced Corporate Infrastructure Engineer who will be focused on Wolt and Doordash´s IT Infrastructure. This role will build and scale our systems to support a fully automated infrastructure by leveraging various technologies. You will work closely with several teams here at DoorDash including (but not limited to): Security, IT, Network Engineering and Enterprise Systems.

Our ideal candidate for this position will have the ability to identify problems and offer resolutions in a timely manner. You will be responsible for the design, development and implementation of corporate IT systems. You will report into the Manager, Infrastructure in our IT organization.

What you’ll be doing

• Run and maintain our corporate infrastructure hosted in AWS
• Maintain and administer infrastructure deployment tools
• Be self motivated to build high quality, scalable systems with cross-functional teams
• Be able to think critically, get into the details and change directions rapidly
• Be able to handle multiple contending priorities and effectively plan your work accordingly
• Navigate existing technologies and quickly learn and adapt to new technologies
• Make recommendations for the improvement and development of IT systems

Our humble expectations*

• You have 4+ years of experience in an Infrastructure Engineering role
• You have demonstrated experience with Python, bash and other scripting fundamentals
• AWS, Azure, Kubernetes, Docker and GCP systems/tools of high familiarity
• You have 2+ years of experience with Infrastructure as a Code tools like Terraform, CloudFormation, Pulumi.
• You have 2+ years of experience working with microservices
• You understand that monitoring/observability is equally important. Experience with but not limited to tools like Prometheus, Grafana, Nagios, Datadog, Splunk.
• You have experience in configuration management and security management
• You are a self starter with attention to detail who understands the value in system monitoring

Next steps

All applications are reviewed by a real human, so please be patient. Qualified candidates will have the opportunity to speak with a member of our recruiting team before moving on to talk with the hiring manager. This is a highly technical role so the next step will be a live scripting/coding interview, followed by chats with members of the team and cross-functional partners.

We are looking to fill this role as quickly as possible, but are committed to finding the right candidate who will be successful in the role

We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply! 

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply! 

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

About the role

You'll join one of several teams building the low-level systems behind CAST AI's multi-cloud automation platform. The work sits at the intersection of Kubernetes, cloud infrastructure, and Linux.

Depending on your strengths, you'll work in one of these areas:

• Cluster and node lifecycle - custom node bootstrapping across AWS, GCP, and Azure. Controllers and operators managing full node lifecycle. Bridging the gap between autoscaler decisions and running VMs - including working around limitations of managed Kubernetes platforms like EKS, GKE, and AKS.
• Cross-cloud provisioning - orchestrating infrastructure across regions and clouds. Workflow orchestration, provisioning integrations, networking and identity across cloud boundaries.
• Live container migration - zero-downtime relocation of running containers using CRIU checkpoint/restore, custom CRI-O and runc forks, and forked cloud CNI plugins. Memory page transfer, TCP session migration, process-level checkpoint/restore. Kernel-level Linux engineering applied to Kubernetes.
• Storage optimization - dynamic volume rightsizing, BtrFS compression, custom CSI drivers. Full storage stack from cloud disk APIs through filesystem internals to Kubernetes PV/PVC lifecycle.

Common across all teams: Go, deep Kubernetes, multi-cloud, building beyond what the ecosystem offers.

How we build

We invest heavily in agentic development and AI-powered tooling. Engineers work with code agents and automated workflows daily. We expect you to shape how these tools evolve.

Requirements:

• Strong backend fundamentals and production-grade coding, preferably Go.
• Hands-on Kubernetes internals, cloud infrastructure, or large-scale distributed systems experience.
• Clear English communication, collaborative and self-directed.
• Bias toward action and ownership.

What would make you stand out

• Deep knowledge of EKS, GKE, or AKS internals.
• Low-level Linux experience: process internals, networking (NAT, iptables, conntrack, SDN), filesystems, storage.
• Kubernetes or cloud-native OSS contributions.
• Cloud storage depth - block storage, CSI, volume management, filesystem internals.
• Container runtime experience (CRI-O, runc, containerd) or CRIU.
• Experience with AI coding agents and agentic development workflows.
• Comfort building where there's no playbook.

Responsibilities:

• Design, build, and operate backend services, Kubernetes operators, and controllers in Go across AWS, GCP, and Azure.
• Solve infrastructure-layer problems — networking, scheduling, storage, compute, or container runtime internals.
• Build and maintain high-throughput services (gRPC/REST) and async orchestration workflows.
• Shape public and internal APIs.
• Leverage and improve AI-powered development workflows.
• Participate in design reviews, code reviews, on-call, and customer deep-dives.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Why Kimchi?

Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters - now we're building the execution layer where agents do real work.

Our Infrastructure today: multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API, and deployment flexibility from our GPUs to your VPC. The inference layer is the foundation. What we're hiring for sits on top of it: coding agents, agent runtimes, orchestration systems, and the reliability engineering that makes them actually finish things.

Tech Stack: TypeScript, Go, Kubernetes, AWS/GCP/Azure, MCP, Prometheus/Grafana/Loki, GitLab CI, ArgoCD.

Why harness engineering matters here
OpenAI and Anthropic ship models. They also ship one harness each - the scaffolding that turns a raw model into something that can plan, execute, recover, and complete work. We ship a different kind of harness: one built for cost-conscious, long-horizon autonomy, running on inference infrastructure we control end-to-end.
A decent model with a great harness beats a great model with a bad harness. We've watched this play out. The gap between what today's models can do and what you see them doing is largely a harness gap - and that gap is where we operate.

What you'll build
The ratchet.
Every time our agent makes a mistake, we engineer a solution so it never makes that mistake again. That means hooks that enforce constraints the model "knows" but forgets: pre-commit lint checks, permission gates, context compaction before the window fills. Success is silent, failures are verbose.

Long-horizon execution.
Our harness is built around spec-driven autonomy: meta-prompting, fresh context per task, worktree-per-slice git strategy, automatic replanning, crash recovery, stuck detection. We're implementing Ralph loops - when the model tries to exit, we intercept and reinject the goal into a fresh context. The agent reads state from disk and continues. Multi-session, multi-day work, without context rot.

Planner/executor splits.
Planning with a reasoning model, executing with a fast one, evaluating with a third. Separating generation from evaluation beats self-verification because agents reliably skew positive when grading their own work.

The harness surface.
CLI, TUI, MCP integration, sandboxed execution, telemetry. Our AGENTS.md is short - every line traces to a specific thing that went wrong. TypeScript on the surface, Go where it matters.

Memory and context.
Moving agents off laptops, giving them state that survives across sessions, managing context so information lands where it's actionable. Compaction, tool-call offloading, progressive skill disclosure.

What makes this different (with receipts)
You've seen the pitch: "we route to the best model." Everyone says that. Here's what we actually have:

• GPU infrastructure we own. Not just an API reseller. From GPU placement across clouds to the inference endpoint your agent calls - we control the cost curve.
• A harness-first thesis. We treat agent failures as configuration problems, not model problems. When we moved from a stock harness to our own, completion rates on internal benchmarks improved by 40%+ on the same model.
• Agents.md that earns every line. No brainstormed rules - every constraint in our system prompt traces to a real failure we saw and fixed.

Requirements:

• You've used AI coding agents in anger. Not demos - real work. You have opinions about Claude Code, Codex, OpenCode, Cursor. You know what it feels like when an agent gets stuck and why.
• Strong TypeScript or Go in production. Comfort moving between them. Our surface is TypeScript; our core is Go.
• You think in harness terms. You read "the agent hallucinated" and your first instinct is to ask what context it was missing, what hook should have caught it, what constraint should exist.
• You drive features end-to-end. Design → build → ship → measure → iterate. We don't have layers that absorb ambiguity for you.

Responsibilities:

• Build and evolve the agent harness - ship hooks, permission gates, and context compaction. Every AGENTS.md constraint traces to a failure you personally diagnosed.
• Own long-horizon execution - multi-session task completion via spec-driven prompting, worktree-per-slice git, Ralph loop recovery, and stuck detection. Completion rate is your metric.
• Architect planner/executor/evaluator pipelines - planning with a reasoning model, execution with a fast one, evaluation with a third. No self-verification.
• Manage agent memory and context - state persistence across sessions, context compaction, tool-call offloading. Zero context rot on multi-day work.
• Own the harness surface - CLI, TUI, MCP integrations, sandboxed execution, telemetry. TypeScript on the surface, Go where it matters.

What success looks like (after 6 months):

• You've shipped at least one major harness feature end-to-end: designed it, built it, measured it, iterated.
• You've added constraints to our AGENTS.md based on failures you personally observed and diagnosed.
• You've improved a measurable reliability metric - completion rate, context efficiency, or cost per successful task.
• You've formed strong opinions about where our harness is load-bearing and where it's dead weight.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

We are hiring across multiple teams!

As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. We are currently hiring Senior Software Engineers for the following teams:

- Workload Optimization - Automates workload resource management by dynamically adjusting resource allocations, helping developers significantly reduce costs and improve application reliability.

- Karpenter - The Karpenter team powers the integration between Karpenter and Cast AI, bringing enterprise capabilities to the most popular open source Kubernetes autoscaler. We enhance Karpenter with advanced features that improve application reliability and performance while optimizing costs. By joining the team, you’ll bridge open source innovation with enterprise requirements, directly impacting how organizations run Karpenter at scale.

- Reporting - Builds a scalable reporting system that ingests millions of rows per second into our time-series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.

- Pricing - Drives the synchronization of public and customer cloud resources, availability, and dynamic pricing across all major cloud providers. Empowers autoscaling by leveraging discounts, commitments, and cross-cluster tracking to maximize savings. Provides a reliable source of truth for node pricing, resources, components, discounts, and commitments.

- Autoscaler - Automates Kubernetes node autoscaling to optimize clusters, balance workloads, remove underutilized nodes, and dynamically allocate capacity in real-time, thereby reducing cluster costs by half.

- Identity -  Builds and maintains the trust and access foundation for the entire platform, ensuring every user, service, and workload authenticates and interacts securely and seamlessly at scale.

- Billy -  Powers the critical day-2 operations layer of the platform - from billing and audit trails to notifications and feature flags - ensuring the platform runs reliably, transparently, and at scale for every customer, every day.

Here are some of the tools we use daily:

• Programming Languages: Go
• Cloud & Orchestration: Kubernetes, AWS, GCP, Azure
• Databases & Storage: PostgreSQL, Cloud Object Storage
• Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs
• Observability: Prometheus, Grafana, Loki, Tempo
• CI/CD & GitOps: GitLab CI with ArgoCD.

Requirements:

• Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
• Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) - including real understanding of how compute, networking, and storage work under the hood.
• Understanding of Kubernetes internals - autoscaling and networking.
• You've personally driven a complex project end-to-end.
• Strong debugging, optimization, and performance-tuning skills - including query profiling, index design, and database performance tuning beyond ORM usage.
• You've run observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
• CI/CD and DevOps practices experience.
• Strong English skills, both verbal and written.
• Startup mindset: adaptable, proactive, and comfortable with ambiguity.

Responsibilities:

• Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
• Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
• Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
• Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
• Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
• Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.

What You’ll Do

• Design and implement end-to-end document intelligence pipelines on AWS
• Develop and optimize ML models for document classification, segmentation, and field extraction
• Build scalable data processing systems handling PDFs up to 2000 pages
• Collaborate with subject matter experts to create and refine requirements for extraction
• Own features from research through production deployment and monitoring
• Establish evaluation frameworks and quality metrics for extraction accuracy

What You Bring

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
• Advanced knowledge of SQL and Data Modeling
• Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
• Experience in experiment design (power analysis and hypothesis testing)
• Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
• Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
• Experience owning a feature from concept to production, including proposal, discussion, and execution

Nice to have 

• Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
• Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
• Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

English level 

Upper-intermediate 

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.

What You’ll Do

• Design and implement end-to-end document intelligence pipelines on AWS
• Develop and optimize ML models for document classification, segmentation, and field extraction
• Build scalable data processing systems handling PDFs up to 2000 pages
• Collaborate with subject matter experts to create and refine requirements for extraction
• Own features from research through production deployment and monitoring
• Establish evaluation frameworks and quality metrics for extraction accuracy

What You Bring

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
• Advanced knowledge of SQL and Data Modeling
• Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
• Experience in experiment design (power analysis and hypothesis testing)
• Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
• Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
• Experience owning a feature from concept to production, including proposal, discussion, and execution

Nice to have 

• Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
• Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
• Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

English level 

Upper-intermediate 

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.

What You’ll Do

• Design and implement end-to-end document intelligence pipelines on AWS
• Develop and optimize ML models for document classification, segmentation, and field extraction
• Build scalable data processing systems handling PDFs up to 2000 pages
• Collaborate with subject matter experts to create and refine requirements for extraction
• Own features from research through production deployment and monitoring
• Establish evaluation frameworks and quality metrics for extraction accuracy

What You Bring

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
• Advanced knowledge of SQL and Data Modeling
• Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
• Experience in experiment design (power analysis and hypothesis testing)
• Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
• Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
• Experience owning a feature from concept to production, including proposal, discussion, and execution

Nice to have 

• Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
• Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
• Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

English level 

Upper-intermediate 

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client 

The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.

What You’ll Do

• Design and implement end-to-end document intelligence pipelines on AWS
• Develop and optimize ML models for document classification,segmentation, and field extraction
• Build scalable data processing systems handling PDFs up to 2000 pages
• Collaborate with subject matter experts to create and refine requirements for extraction
• Own features from research through production deployment and monitoring
• Establish evaluation frameworks and quality metrics for extraction accuracy

What You Bring

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• Experience with AWS tools for ML Engineering and ML deployment(Sag
• emaker, Lambda, Cloudformation/CDK, Step Functions)
• Advanced knowledge of SQL and Data Modeling
• Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
• Experience in experiment design (power analysis and hypothesis testing)
• Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
• Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
• Experience owning a feature from concept to production, including proposal, discussion, and execution

Nice to have 

• Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
• Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
• Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

English level 

Upper-intermediate 

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client 

The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.

What You’ll Do

• Design and implement end-to-end document intelligence pipelines on AWS
• Develop and optimize ML models for document classification,segmentation, and field extraction
• Build scalable data processing systems handling PDFs up to 2000 pages
• Collaborate with subject matter experts to create and refine requirements for extraction
• Own features from research through production deployment and monitoring
• Establish evaluation frameworks and quality metrics for extraction accuracy

What You Bring

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• Experience with AWS tools for ML Engineering and ML deployment(Sag
• emaker, Lambda, Cloudformation/CDK, Step Functions)
• Advanced knowledge of SQL and Data Modeling
• Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
• Experience in experiment design (power analysis and hypothesis testing)
• Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
• Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
• Experience owning a feature from concept to production, including proposal, discussion, and execution

Nice to have 

• Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
• Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
• Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

English level 

Upper-intermediate 

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client 

The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.

What You’ll Do

• Design and implement end-to-end document intelligence pipelines on AWS
• Develop and optimize ML models for document classification,segmentation, and field extraction
• Build scalable data processing systems handling PDFs up to 2000 pages
• Collaborate with subject matter experts to create and refine requirements for extraction
• Own features from research through production deployment and monitoring
• Establish evaluation frameworks and quality metrics for extraction accuracy

What You Bring

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• Experience with AWS tools for ML Engineering and ML deployment(Sag
• emaker, Lambda, Cloudformation/CDK, Step Functions)
• Advanced knowledge of SQL and Data Modeling
• Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
• Experience in experiment design (power analysis and hypothesis testing)
• Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
• Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
• Experience owning a feature from concept to production, including proposal, discussion, and execution

Nice to have 

• Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
• Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
• Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

English level 

Upper-intermediate 

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client 

The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.

What You’ll Do

• Design and implement end-to-end document intelligence pipelines on AWS
• Develop and optimize ML models for document classification,segmentation, and field extraction
• Build scalable data processing systems handling PDFs up to 2000 pages
• Collaborate with subject matter experts to create and refine requirements for extraction
• Own features from research through production deployment and monitoring
• Establish evaluation frameworks and quality metrics for extraction accuracy

What You Bring

• Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
• Experience with AWS tools for ML Engineering and ML deployment(Sag
• emaker, Lambda, Cloudformation/CDK, Step Functions)
• Advanced knowledge of SQL and Data Modeling
• Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
• Experience in experiment design (power analysis and hypothesis testing)
• Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
• Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
• Experience owning a feature from concept to production, including proposal, discussion, and execution

Nice to have 

• Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
• Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
• Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)

English level 

Upper-intermediate 

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

The Product: MetaDefender MFT

MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete rearchitecture designed for scale, security, and the future. It is built to be:

• A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
• A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
• A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.

You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.

The Position 

At OPSWAT’s Technology Development Centre in Timisoara, we are looking for a talented DevOps Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!

In Timisoara, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies. 
We support professional development through training, mentoring, and real opportunities for advancement. The Timisoara office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Timisoara is the place for you.

As a DevOps Engineer at OPSWAT, you own the on-premise infrastructure that the MFT and MFT Enterprise demo environments run on. You keep CI/CD pipelines green across both products, build the Kubernetes-based deployment foundation for MFT Enterprise, and ensure no critical infrastructure knowledge lives in a single person’s head. You use AI agents to automate repetitive ops work — scripting, config generation, runbook creation — so your leverage grows over time. You are measured by pipeline reliability, environment stability, and recovery speed, not ticket volume. You think in systems: you see how CI/CD, Kubernetes, security, and application delivery fit together — and you build for resilience, not just functionality.

If you’re interested in working as a DevOps Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have The Opportunity to

• Own CI/CD pipeline stability across MFT and MFT Enterprise — maintaining fast, reliable builds and deployments for both on-premise products.
• Build and baseline the Kubernetes-based on-premise deployment environment for MFT Enterprise — establishing the containerised infrastructure foundation the product will ship and scale on.
• Reduce single-resource dependency on infrastructure — document runbooks, cross-train teammates, and automate institutional knowledge so the team operates without critical bottlenecks.
• Own infrastructure-related escalations reliably — diagnose incidents quickly, resolve with urgency, write post-mortems, and implement systemic fixes that prevent recurrence.
• Use AI agents to automate infrastructure tasks — generating scripts, configuration, and runbooks — so repetitive ops work is delegated to agents and human effort focuses on judgment and architecture.
• Author and maintain infrastructure-as-code and AI context files for every environment you own — treating infrastructure with the same rigour as application code, versioned, reviewed, and agent-readable.
• Collaborate with the engineering team to define on-premise deployment patterns, environment standards, and infrastructure guardrails for MFT Enterprise — so the product ships on a stable, well-understood foundation.
• Help troubleshoot infrastructure issues in customer environments — partnering with the support team to reproduce problems, identify root causes, and deliver fixes that improve environment reliability.
• Act as the security gatekeeper for all infrastructure environments — enforcing secrets management practices, detecting and remediating leaked credentials, and ensuring access to CI/CD pipelines and deployment configurations follows least-privilege principles.

What We Are Looking For  

• AI-Native Fluency: Uses AI agents as core ops tools, not add-ons — generating scripts, configs, and runbooks through agents, and approaching infrastructure automation with an AI-native mindset. Must show real work where agents drove operational velocity.
• CI/CD Expertise: 3+ years hands-on experience building and maintaining CI/CD pipelines (GitHub Actions, TeamCity, or equivalent) at production scale — diagnosing failures fast and shipping fixes without disrupting teams.
• Kubernetes Proficiency: Hands-on experience deploying, configuring, and maintaining Kubernetes-based environments in on-premise contexts — comfortable with cluster management, workload configuration, and troubleshooting in staging and production.
• Infrastructure as Code: 2+ years proficiency with IaC tools (Terraform, Ansible, Helm, or equivalent) — infrastructure is treated as versioned, reviewed code, not manual configuration.
• Reliability Mindset: Proven ability to own and resolve infrastructure incidents under pressure — writes clear post-mortems, drives systemic improvements, and proactively reduces bus factor through documentation and cross-training.

It Would Be Nice If You Had

• Experience with cloud platforms: Exposure to AWS, Azure, or GCP — useful for CI/CD tooling and build infrastructure even where the product itself is on-premise.
• Observability: Experience with monitoring, alerting, and tracing stacks (Prometheus, Grafana, ELK, or equivalent) — making failure visible before users notice it.
• Security-hardened infrastructure: Applying security controls to infrastructure — network policies, secrets management, least-privilege access — in enterprise or compliance-driven environments.
• AI in CI/CD: Running AI agents inside pipelines — auto-generating configs, validating infrastructure changes, or triggering remediation as pipeline steps.
• Home lab or personal projects: A personal infrastructure project — self-hosted Kubernetes, home automation, or anything showing genuine curiosity and hands-on initiative outside of work.

Why You'll Love Working Here 

• Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
• Stable, growing international company background with an exceptional customer group across 50+ countries.
• Modern technology environment with active investment in AI-native engineering practices.
• Professional development through training, mentoring, and real opportunities for advancement.
• Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
• Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
• Attractive compensation with regular performance assessments, and team activities.

The Product: MetaDefender Managed File Trasnfer

MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete architecture designed for scale, security, and the future. It is built to be:

• A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
• A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
• A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.

You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.

The Position

At OPSWAT’s Technology Development Centre in Timisoara, we are looking for talented AI Native .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!

In Timisoara, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies. 
We support professional development through training, mentoring, and real opportunities for advancement. The Timisoara office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Timisoara is the place for you.

As an AI Native .NET Engineer, you use AI agents as core development tools — generating code, scaffolding tests, and reviewing outputs with a critical eye. You work within an established architectural framework, contribute features end-to-end, and grow toward broader ownership over time. You are measured by the quality of what you ship and the speed at which you grow, not the volume of your commits. You have solid .NET fundamentals and the instincts to catch what agents miss.

If you’re interested in working as an AI Native .NET Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have The Opportunity to

• Deliver features end-to-end within a defined scope — work from clear requirements, write clean, tested .NET code, and drive your work to completion with growing accountability.
• Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
• Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
• Contribute to custom coding harnesses and test frameworks — work within established AI-assisted development scaffolding, and suggest improvements as you deepen your understanding of the codebase.
• Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
• Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
• Support AI-native engineering practices for the MFT Enterprise team — contribute to playbooks, context file standards, and review norms as they evolve.

What We Are Looking For 

• AI-Native Fluency: Hands-on experience using AI agents as core engineering tools — you approach daily development tasks with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents contributed to shipped features.
• Technical Excellence (.NET Core / C#): Solid proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.
• Mission-Focused Delivery: 2+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
• Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
• Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.

It Would Be Nice If You Had

• Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
• Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
• Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
• Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
• AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
• AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
• Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.

Why You'll Love Working Here

• Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
• Stable, growing international company background with an exceptional customer group across 50+ countries.
• Modern technology environment with active investment in AI-native engineering practices.
• Professional development through training, mentoring, and real opportunities for advancement.
• Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
• Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
• Attractive compensation with regular performance assessments, and team activities.

The Product: MetaDefender MFT

MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete rearchitecture designed for scale, security, and the future. It is built to be:

• A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
• A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
• A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.

You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.

The Position

At OPSWAT’s Technology Development Centre in Timisoara, we are looking for talented AI Native Senior .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity! 

As an AI Native Senior .NET Engineer, you orchestrate a fleet of AI agents to architect, build, and deploy production-grade systems, and AI agents are a core part of your daily workflow. You build complex multi-service systems, create custom coding harnesses and test frameworks, and reverse-engineer existing systems entirely through AI workflows. You are measured by the speed of deployment and the robustness of what you ship, not the volume of your commits. You think in terms of “how do these pieces fit together as a system” and blend product, design, and analytical thinking into your delivery.

If you’re interested in working as an AI Native Senior .NET Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have the Opportunity to

• Take ownership of features from concept to delivery: write precise specifications, work closely with teammates and stakeholders to refine requirements, and drive your work through to production with full accountability.
• Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
• Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
• Create custom coding harnesses and test frameworks for structured, repeatable AI-assisted development — giving the team reliable scaffolding that agents can operate within safely and consistently.
• Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
• Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
• Help define and codify AI-native engineering practices for the MFT Enterprise team — establishing playbooks, context file standards, and review norms the broader engineering organization can adopt.

What We Are Looking For

• AI-Native Fluency: Deep, hands-on experience integrating AI agents as core engineering tools, not add-ons — you approach every problem with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents drove backend velocity
• Technical Excellence (.NET Core / C#): Strong proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.
• Mission-Focused Delivery: 5+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
• Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
• Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.

It Would Be Nice If You Had

• Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
• Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
• Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
• Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
• AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
• AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
• Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.

Why You'll Love Working Here

• Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
• Stable, growing international company background with an exceptional customer group across 50+ countries.
• Modern technology environment with active investment in AI-native engineering practices.
• Professional development through training, mentoring, and real opportunities for advancement.
• Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
• Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
• Attractive compensation with regular performance assessments, and team activities.

The Product: MetaDefender MFT

MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete rearchitecture designed for scale, security, and the future. It is built to be:

• A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
• A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
• A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.

You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.

The Position

At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented AI Native Senior .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!

In Veszprém, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies. 
We support professional development through training, mentoring, and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Veszprém is the place for you.

As an AI Native Senior .NET Engineer, you orchestrate a fleet of AI agents to architect, build, and deploy production-grade systems, and AI agents are a core part of your daily workflow. You build complex multi-service systems, create custom coding harnesses and test frameworks, and reverse-engineer existing systems entirely through AI workflows. You are measured by the speed of deployment and the robustness of what you ship, not the volume of your commits. You think in terms of “how do these pieces fit together as a system” and blend product, design, and analytical thinking into your delivery.

If you’re interested in working as an AI Native Senior .NET Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have the Opportunity to

• Take ownership of features from concept to delivery: write precise specifications, work closely with teammates and stakeholders to refine requirements, and drive your work through to production with full accountability.
• Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
• Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
• Create custom coding harnesses and test frameworks for structured, repeatable AI-assisted development — giving the team reliable scaffolding that agents can operate within safely and consistently.
• Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
• Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
• Help define and codify AI-native engineering practices for the MFT Enterprise team — establishing playbooks, context file standards, and review norms the broader engineering organization can adopt.

What We Are Looking For

• AI-Native Fluency: Deep, hands-on experience integrating AI agents as core engineering tools, not add-ons — you approach every problem with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents drove backend velocity
• Technical Excellence (.NET Core / C#): Strong proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.
• Mission-Focused Delivery: 5+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
• Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
• Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.

It Would Be Nice If You Had

• Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
• Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
• Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
• Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
• AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
• AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
• Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.

Why You'll Love Working Here

• Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
• Stable, growing international company background with an exceptional customer group across 50+ countries.
• Modern technology environment with active investment in AI-native engineering practices.
• Professional development through training, mentoring, and real opportunities for advancement.
• Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
• Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
• Attractive compensation with regular performance assessments, and team activities.

The Product: MetaDefender MFT

MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete rearchitecture designed for scale, security, and the future. It is built to be:

• A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
• A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
• A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.

You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.

The Position 

At OPSWAT’s Technology Development Centre in Veszprém, we are looking for a talented DevOps Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!

In Veszprém, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies. 
We support professional development through training, mentoring, and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Veszprém is the place for you.

As a DevOps Engineer at OPSWAT, you own the on-premise infrastructure that the MFT and MFT Enterprise demo environments run on. You keep CI/CD pipelines green across both products, build the Kubernetes-based deployment foundation for MFT Enterprise, and ensure no critical infrastructure knowledge lives in a single person’s head. You use AI agents to automate repetitive ops work — scripting, config generation, runbook creation — so your leverage grows over time. You are measured by pipeline reliability, environment stability, and recovery speed, not ticket volume. You think in systems: you see how CI/CD, Kubernetes, security, and application delivery fit together — and you build for resilience, not just functionality.

If you’re interested in working as a DevOps Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have The Opportunity to

• Own CI/CD pipeline stability across MFT and MFT Enterprise — maintaining fast, reliable builds and deployments for both on-premise products.
• Build and baseline the Kubernetes-based on-premise deployment environment for MFT Enterprise — establishing the containerised infrastructure foundation the product will ship and scale on.
• Reduce single-resource dependency on infrastructure — document runbooks, cross-train teammates, and automate institutional knowledge so the team operates without critical bottlenecks.
• Own infrastructure-related escalations reliably — diagnose incidents quickly, resolve with urgency, write post-mortems, and implement systemic fixes that prevent recurrence.
• Use AI agents to automate infrastructure tasks — generating scripts, configuration, and runbooks — so repetitive ops work is delegated to agents and human effort focuses on judgment and architecture.
• Author and maintain infrastructure-as-code and AI context files for every environment you own — treating infrastructure with the same rigour as application code, versioned, reviewed, and agent-readable.
• Collaborate with the engineering team to define on-premise deployment patterns, environment standards, and infrastructure guardrails for MFT Enterprise — so the product ships on a stable, well-understood foundation.
• Help troubleshoot infrastructure issues in customer environments — partnering with the support team to reproduce problems, identify root causes, and deliver fixes that improve environment reliability.
• Act as the security gatekeeper for all infrastructure environments — enforcing secrets management practices, detecting and remediating leaked credentials, and ensuring access to CI/CD pipelines and deployment configurations follows least-privilege principles.

What We Are Looking For  

• AI-Native Fluency: Uses AI agents as core ops tools, not add-ons — generating scripts, configs, and runbooks through agents, and approaching infrastructure automation with an AI-native mindset. Must show real work where agents drove operational velocity.
• CI/CD Expertise: 3+ years hands-on experience building and maintaining CI/CD pipelines (GitHub Actions, TeamCity, or equivalent) at production scale — diagnosing failures fast and shipping fixes without disrupting teams.
• Kubernetes Proficiency: Hands-on experience deploying, configuring, and maintaining Kubernetes-based environments in on-premise contexts — comfortable with cluster management, workload configuration, and troubleshooting in staging and production.
• Infrastructure as Code: 2+ years proficiency with IaC tools (Terraform, Ansible, Helm, or equivalent) — infrastructure is treated as versioned, reviewed code, not manual configuration.
• Reliability Mindset: Proven ability to own and resolve infrastructure incidents under pressure — writes clear post-mortems, drives systemic improvements, and proactively reduces bus factor through documentation and cross-training.

It Would Be Nice If You Had

• Experience with cloud platforms: Exposure to AWS, Azure, or GCP — useful for CI/CD tooling and build infrastructure even where the product itself is on-premise.
• Observability: Experience with monitoring, alerting, and tracing stacks (Prometheus, Grafana, ELK, or equivalent) — making failure visible before users notice it.
• Security-hardened infrastructure: Applying security controls to infrastructure — network policies, secrets management, least-privilege access — in enterprise or compliance-driven environments.
• AI in CI/CD: Running AI agents inside pipelines — auto-generating configs, validating infrastructure changes, or triggering remediation as pipeline steps.
• Home lab or personal projects: A personal infrastructure project — self-hosted Kubernetes, home automation, or anything showing genuine curiosity and hands-on initiative outside of work.

Why You'll Love Working Here 

• Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
• Stable, growing international company background with an exceptional customer group across 50+ countries.
• Modern technology environment with active investment in AI-native engineering practices.
• Professional development through training, mentoring, and real opportunities for advancement.
• Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
• Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
• Attractive compensation with regular performance assessments, and team activities.

The Position

At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented Machine Learning Operations Engineers to join our teams developing and deploying advanced AI-driven cybersecurity solutions that protect critical infrastructure across the globe. If you are knowledgeable, creative, and passionate about building reliable, scalable, and efficient ML pipelines and infrastructure - enabling data scientists to deliver innovative models seamlessly into production - then you could be exactly who we’re looking for! 

In Veszprém, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies.  We support professional development through training, mentoring, and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Veszprém is the place for you.

At OPSWAT, we believe that great talent is always worth getting to know, even when there are no current vacancies. Our Evergreen Machine Learning Operations Engineer position offers continuously open opportunities for enthusiastic and motivated professionals who may join us in the future. It is not tied to a specific vacancy, but it enables us to get to know you and stay in touch, so that when a new opportunity arises, you could be among the first people we reach out to.  

If you’re interested in working as a Machine Learning Operations Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have the Opportunity to

• Build and maintain robust CI/CD pipelines for ML models and data workflows
• Automate and manage the end-to-end lifecycle of machine learning models, from training to deployment and monitoring
• Develop infrastructure to support scalable, reproducible model training and serving in Cloud or on-premise environments
• Monitor model performance in production, detect model/data drift, and implement alerting systems
• Collaborate with Data Scientists and DevOps Engineers to operationalize ML models and integrate them into products
• Drive Infrastructure-as-Code (IaC) and DevOps best practices in ML environments
• Identify and troubleshoot production issues with ML models
• Collaborate with cross-functional and product teams to identify, develop, and test out new ideas
• Build and nourish a culture of data-driven decision making, influencing the mindset of colleagues and management as well

What We Are Looking For

• 3+ years of experience in MLOps, DevOps, or ML Engineering
• Strong programming skills in Python and Bash
• Experience with ML frameworks as training/serving (e.g., Ray, Sagemaker jobs)
• Knowledge of monitoring tools and best practices for production ML systems(eg: Tensorboard, Datadog,Streamlit)
• Hands-on experience with CI/CD tools (e.g., GitHub Actions, Bitbucket pipelines, TeamCity)
• Proficiency with containerization and orchestration (Docker, Kubernetes)
• Experience with Cloud platforms (AWS, GCP, or Azure) and ML services (e.g., SageMaker, Vertex AI, MLflow, Kubeflow) and automation solutions (terraform / ansible / others)
• Knowledge of monitoring tools and best practices for production ML systems
• Solid understanding of the ML model lifecycle, versioning, and reproducibility
• Strong communication skills and the ability to work cross-functionally
• Experience with Linux systems
• Excellent troubleshooting skills and a commitment to document findings

Why You'll Love Working Here

• Stable, growing international company background with an exceptional customer group 
• Opportunity to improve your professional skills 
• The newest technology environment 
• Language course and opportunity for active recreation – kettlebell, football and office massage 
• Attractive working environment – nice office full of accessories (fruits every day, coffee, breakfast, tea etc.)
• Regular team events and Happy Hour activities 

The Product: MetaDefender Managed File Trasnfer

MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete rearchitecture designed for scale, security, and the future. It is built to be:

• A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
• A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
• A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.

You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.

The Position

At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented AI Native .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!

In Veszprém, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies. 
We support professional development through training, mentoring, and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Veszprém is the place for you.

As an AI Native .NET Engineer, you use AI agents as core development tools — generating code, scaffolding tests, and reviewing outputs with a critical eye. You work within an established architectural framework, contribute features end-to-end, and grow toward broader ownership over time. You are measured by the quality of what you ship and the speed at which you grow, not the volume of your commits. You have solid .NET fundamentals and the instincts to catch what agents miss.

If you’re interested in working as an AI Native .NET Engineer at OPSWAT, please apply, and we will get in touch!

You Will Have The Opportunity to

• Deliver features end-to-end within a defined scope — work from clear requirements, write clean, tested .NET code, and drive your work to completion with growing accountability.
• Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
• Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
• Contribute to custom coding harnesses and test frameworks — work within established AI-assisted development scaffolding, and suggest improvements as you deepen your understanding of the codebase.
• Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
• Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
• Support AI-native engineering practices for the MFT Enterprise team — contribute to playbooks, context file standards, and review norms as they evolve.

What We Are Looking For 

• AI-Native Fluency: Hands-on experience using AI agents as core engineering tools — you approach daily development tasks with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents contributed to shipped features.
• Technical Excellence (.NET Core / C#): Solid proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.
• Mission-Focused Delivery: 2+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
• Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
• Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.

It Would Be Nice If You Had

• Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
• Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
• Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
• Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
• AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
• AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
• Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.

Why You'll Love Working Here

• Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
• Stable, growing international company background with an exceptional customer group across 50+ countries.
• Modern technology environment with active investment in AI-native engineering practices.
• Professional development through training, mentoring, and real opportunities for advancement.
• Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
• Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
• Attractive compensation with regular performance assessments, and team activities.

We are looking for a motivated Senior Software Engineer (Python, AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
• Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
• Implementing asynchronous and parallel programming solutions with asyncio
• Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
• Working both independently and collaboratively within the team
• Providing clear instructions to team members and helping coordinate day-to-day operations
• Communicating with the client on a regular basis
• Providing technical leadership for the team – mentor, coach, and lead by example

What You Bring

• 5+ years of background in development
• Strong background in Python, FastAPI
• Experience with Pydantic for data validation and schema definition in Python applications
• Hands-on experience with asyncio, asynchronous/parallel programming
• Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
• Understanding of RAG pipelines and hybrid search with vector databases
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Pragmatic approach to balancing process against flexibility in achieving objectives
• Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
• Excellent troubleshooting and communication skills

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with agentic protocols such as MCP and A2A is a strong plus
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
• Familiarity with .NET is considered a plus
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Software Engineer (Python, AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
• Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
• Implementing asynchronous and parallel programming solutions with asyncio
• Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
• Working both independently and collaboratively within the team
• Providing clear instructions to team members and helping coordinate day-to-day operations
• Communicating with the client on a regular basis
• Providing technical leadership for the team – mentor, coach, and lead by example

What You Bring

• 5+ years of background in development
• Strong background in Python, FastAPI
• Experience with Pydantic for data validation and schema definition in Python applications
• Hands-on experience with asyncio, asynchronous/parallel programming
• Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
• Understanding of RAG pipelines and hybrid search with vector databases
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Pragmatic approach to balancing process against flexibility in achieving objectives
• Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
• Excellent troubleshooting and communication skills

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with agentic protocols such as MCP and A2A is a strong plus
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
• Familiarity with .NET is considered a plus
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Software Engineer (Python, AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
• Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
• Implementing asynchronous and parallel programming solutions with asyncio
• Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
• Working both independently and collaboratively within the team
• Providing clear instructions to team members and helping coordinate day-to-day operations
• Communicating with the client on a regular basis
• Providing technical leadership for the team – mentor, coach, and lead by example

What You Bring

• 5+ years of background in development
• Strong background in Python, FastAPI
• Experience with Pydantic for data validation and schema definition in Python applications
• Hands-on experience with asyncio, asynchronous/parallel programming
• Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
• Understanding of RAG pipelines and hybrid search with vector databases
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Pragmatic approach to balancing process against flexibility in achieving objectives
• Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
• Excellent troubleshooting and communication skills

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with agentic protocols such as MCP and A2A is a strong plus
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
• Familiarity with .NET is considered a plus
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Software Engineer (Python + AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
• Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
• Implementing asynchronous and parallel programming solutions with asyncio
• Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
• Working both independently and collaboratively within the team
• Providing clear instructions to team members and helping coordinate day-to-day operations
• Communicating with the client on a regular basis
• Providing technical leadership for the team – mentor, coach, and lead by example

What You Bring

• 5+ years of background in development
• Strong background in Python, FastAPI
• Experience with Pydantic for data validation and schema definition in Python applications
• Hands-on experience with asyncio, asynchronous/parallel programming
• Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
• Understanding of RAG pipelines and hybrid search with vector databases
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Pragmatic approach to balancing process against flexibility in achieving objectives
• Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
• Excellent troubleshooting and communication skills

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with agentic protocols such as MCP and A2A is a strong plus
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
• Familiarity with .NET is considered a plus
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Software Engineer (Python + AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
• Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
• Implementing asynchronous and parallel programming solutions with asyncio
• Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
• Working both independently and collaboratively within the team
• Providing clear instructions to team members and helping coordinate day-to-day operations
• Communicating with the client on a regular basis
• Providing technical leadership for the team – mentor, coach, and lead by example

What You Bring

• 5+ years of background in development
• Strong background in Python, FastAPI
• Experience with Pydantic for data validation and schema definition in Python applications
• Hands-on experience with asyncio, asynchronous/parallel programming
• Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
• Understanding of RAG pipelines and hybrid search with vector databases
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Pragmatic approach to balancing process against flexibility in achieving objectives
• Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
• Excellent troubleshooting and communication skills

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with agentic protocols such as MCP and A2A is a strong plus
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
• Familiarity with .NET is considered a plus
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Software Engineer (Python + AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
• Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
• Implementing asynchronous and parallel programming solutions with asyncio
• Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
• Working both independently and collaboratively within the team
• Providing clear instructions to team members and helping coordinate day-to-day operations
• Communicating with the client on a regular basis
• Providing technical leadership for the team – mentor, coach, and lead by example

What You Bring

• 5+ years of background in development
• Strong background in Python, FastAPI
• Experience with Pydantic for data validation and schema definition in Python applications
• Hands-on experience with asyncio, asynchronous/parallel programming
• Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
• Understanding of RAG pipelines and hybrid search with vector databases
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Pragmatic approach to balancing process against flexibility in achieving objectives
• Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
• Excellent troubleshooting and communication skills

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with agentic protocols such as MCP and A2A is a strong plus
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
• Familiarity with .NET is considered a plus
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

We are looking for a motivated Senior Software Engineer (Python + AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
• Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
• Implementing asynchronous and parallel programming solutions with asyncio
• Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
• Working both independently and collaboratively within the team
• Providing clear instructions to team members and helping coordinate day-to-day operations
• Communicating with the client on a regular basis
• Providing technical leadership for the team – mentor, coach, and lead by example

What You Bring

• 5+ years of background in development
• Strong background in Python, FastAPI
• Experience with Pydantic for data validation and schema definition in Python applications
• Hands-on experience with asyncio, asynchronous/parallel programming
• Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
• Understanding of RAG pipelines and hybrid search with vector databases
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Pragmatic approach to balancing process against flexibility in achieving objectives
• Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
• Excellent troubleshooting and communication skills

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with agentic protocols such as MCP and A2A is a strong plus
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
• Familiarity with .NET is considered a plus
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
• Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
• Implementing asynchronous and parallel programming solutions with asyncio
• Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
• Working both independently and collaboratively within the team
• Providing clear instructions to team members and helping coordinate day-to-day operations
• Communicating with the client on a regular basis
• Providing technical leadership for the team – mentor, coach, and lead by example

What You Bring

• 5+ years of background in development
• Strong background in Python, FastAPI
• Experience with Pydantic for data validation and schema definition in Python applications
• Hands-on experience with asyncio, asynchronous/parallel programming
• Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
• Understanding of RAG pipelines and hybrid search with vector databases
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Pragmatic approach to balancing process against flexibility in achieving objectives
• Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
• Excellent troubleshooting and communication skills

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with agentic protocols such as MCP and A2A is a strong plus
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
• Familiarity with .NET is considered a plus
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
• Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
• Implementing asynchronous and parallel programming solutions with asyncio
• Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
• Working both independently and collaboratively within the team
• Providing clear instructions to team members and helping coordinate day-to-day operations
• Communicating with the client on a regular basis
• Providing technical leadership for the team – mentor, coach, and lead by example

What You Bring

• 5+ years of background in development
• Strong background in Python, FastAPI
• Experience with Pydantic for data validation and schema definition in Python applications
• Hands-on experience with asyncio, asynchronous/parallel programming
• Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
• Understanding of RAG pipelines and hybrid search with vector databases
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Pragmatic approach to balancing process against flexibility in achieving objectives
• Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
• Excellent troubleshooting and communication skills

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with agentic protocols such as MCP and A2A is a strong plus
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
• Familiarity with .NET is considered a plus
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
• Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
• Implementing asynchronous and parallel programming solutions with asyncio
• Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
• Working both independently and collaboratively within the team
• Providing clear instructions to team members and helping coordinate day-to-day operations
• Communicating with the client on a regular basis
• Providing technical leadership for the team – mentor, coach, and lead by example

What You Bring

• 5+ years of background in development
• Strong background in Python, FastAPI
• Experience with Pydantic for data validation and schema definition in Python applications
• Hands-on experience with asyncio, asynchronous/parallel programming
• Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
• Understanding of RAG pipelines and hybrid search with vector databases
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Pragmatic approach to balancing process against flexibility in achieving objectives
• Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
• Excellent troubleshooting and communication skills

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with agentic protocols such as MCP and A2A is a strong plus
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
• Familiarity with .NET is considered a plus
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
• Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
• Implementing asynchronous and parallel programming solutions with asyncio
• Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
• Working both independently and collaboratively within the team
• Providing clear instructions to team members and helping coordinate day-to-day operations
• Communicating with the client on a regular basis
• Providing technical leadership for the team – mentor, coach, and lead by example

What You Bring

• 5+ years of background in development
• Strong background in Python, FastAPI
• Experience with Pydantic for data validation and schema definition in Python applications
• Hands-on experience with asyncio, asynchronous/parallel programming
• Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
• Understanding of RAG pipelines and hybrid search with vector databases
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Pragmatic approach to balancing process against flexibility in achieving objectives
• Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
• Excellent troubleshooting and communication skills

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with agentic protocols such as MCP and A2A is a strong plus
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
• Familiarity with .NET is considered a plus
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

The Sportsbook Area with Product Development is now hiring! We have a world-class Sportsbook, developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product. Having our product available in different parts of the world and offering sports all around the world requires to have support around the clock. Our Product Development organisation is truly Global with cross functional teams spanning 5 Tech Hubs. These can be found in Malta, Budapest, Stockholm, Tallinn and Athens.

The Wow

Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.

Our Sportsbook Platform is ours – from our Architecture to our Trading teams – we have an in-house platform which hosts our brands offering Sportsbetting for our customers. From the tools our traders use to the cutting edge features our customers use to bet on various sports – our teams are the backbone to making this happen! Our aim is to create the best performance, functionality and user experience in the iGaming industry! As part of our Sportsbook tech team – a high performance, throughout and availability product serving many brands (20+), you will be key in ensuring that the team delivers the required business value.

You are good at

• .NET/C#
• .NET Core
• Interacting with REST APIs
• SQL Server, writing queries and tuning performance
• Communicating in English
• Agile development
• Unit testing frameworks
• Collaborating and knowledge sharing

Extra awesome

• Implementing distributed and multi-tier/micro-service systems
• Experience with cloud computing services (eg. AWS, Azure)
• Experience with Containerized applications / Docker / Kubernetes

A flavour of what you'll be doing

You will be part of an end-to-end agile team with a strong feature focus, consisting of developers, QA engineers and UX specialists. Team members are expected to be involved in all aspects of software development from making sure that the architecture and design is as good as we can make it, to writing code, unit and end-to-end tests and manage our data models.

You will work both on designing and implementing new features as well as analyzing the system and improve architecture and technical excellence.

What we offer

• Fitness-wellness allowance  🧗‍♂️
• Company mobile phone for private use with 100 GB  📱
• Annual HUF devaluation compensation  💡
• Hybrid model: 3 days in the office 🏢  & 2 days from home  🏠
• Private Health Insurance  🩺
• Career development  📈
• Technical and soft-skill training opportunities 🎓
• Breakfast, fruits & lunch 🍎
• Team building events  🥳

Challenge accepted?

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

LastPass is looking for a Staff Kubernetes Engineer:

As a Staff Kubernetes Engineer, you will have a strong focus on Kubernetes operations to design, build, and maintain cloud-native infrastructure using Infrastructure as Code and following GitOps principles and tooling. You will orchestrate scalable containerized applications, streamline cluster operations while ensuring high availability through automated deployments and observability over our infrastructure.

About the Team:

Our team sits at the core of LastPass’s Platform Engineering cluster, delivering a streamlined platform that reduces complexity and speeds up delivery. We manage the company’s entire Kubernetes environment, operating EKS clusters, overseeing container lifecycle and reliability, and providing developer tooling that enables teams to deploy and scale applications efficiently and securely.

If you are passionate about complex problem solving and motivated by scale, then this is the role for you!

Who will you work with?

You will be part of a dedicated team within LastPass, shaping future infrastructure, enabling seamless application delivery, and driving DevOps best practices across the organization. Leveraging your technical expertise, you will collaborate closely with architecture and security teams to ensure services remain secure, reliable, maintainable, and scalable.

What are some of the exciting challenges you will be working on?

• Own the architecture, design, and evolution of our Kubernetes-based platform on AWS, ensuring scalability, resilience, and operational excellence
• Develop, maintain, and optimize Kubernetes infrastructure using Infrastructure as Code (CDK), enforcing best practices and architectural standards
• Act as the technical guide and domain expert for Kubernetes architecture, collaborating closely with the Architecture team to bridge high-level strategy with implementation and guide engineering teams with clear patterns, reference architectures, and best-practice recommendations
• Lead technical decision-making across multiple teams, providing mentorship, design reviews, and hands-on support to drive platform consistency and quality
• Drive proactive improvements across the platform, identifying scaling issues, reliability gaps, or operational inefficiencies before they become problems
• Design and implement secure, compliant, and highly observable Kubernetes environments, integrating monitoring, logging, and alerting systems
• Lead and support the migration of non-cloud-native applications to the new infrastructure, assessing readiness and implementing best practices for scalability and maintainability
• Champion automation and GitOps practices to reduce manual work, eliminate drift, and improve release velocity
• Lead cross-team initiatives and influence technical direction outside your immediate organization, driving adoption of cloud-native best practices
• Participate in on-call rotations and contribute to incident response and root cause analysis

What does it take to work at LastPass?

• Expertise in Kubernetes cluster architecture and operations, including designing and maintaining multi-node clusters for performance, scalability, and fault tolerance
• Proficiency with service mesh technologies to manage observability, security, and traffic routing, along with experience implementing auto-scaling, optimizing resource utilization, and planning rolling upgrades and disaster recovery scenarios with zero downtime
• Solid knowledge of and experience with AWS and EKS
• Ability to assess application readiness and provide migration strategies for different application types while ensuring minimal disruption during transitions
• Automation mindset with the drive to identify and automate repetitive tasks and manual processes
• Experience with observability tools such as DataDog to ensure high uptime and fast issue resolution
• Strong problem-solving and troubleshooting abilities, with a collaborative, team-oriented approach and a can-do attitude
• Effective communication and collaboration skills across stakeholder groups of varied technical backgrounds, with strong written and verbal English proficiency
• Fluency with AI tools and large language models to support platform engineering, automation, and operational efficiency

It’s great, but not required:

• General familiarity with AI tools and large language models (e.g., Claude by Anthropic, AWS Bedrock)
• Experience with multiple IaC languages (CDK with TypeScript, CloudFormation)
• GitOps practices, including ArgoCD experience
• Multi-cloud experience (AWS required, Azure nice to have)

LastPass is looking for a Staff Kubernetes Engineer:

As a Staff Kubernetes Engineer, you will have a strong focus on Kubernetes operations to design, build, and maintain cloud-native infrastructure using Infrastructure as Code and following GitOps principles and tooling. You will orchestrate scalable containerized applications, streamline cluster operations while ensuring high availability through automated deployments and observability over our infrastructure.

About the Team:

Our team sits at the core of LastPass’s Platform Engineering cluster, delivering a streamlined platform that reduces complexity and speeds up delivery. We manage the company’s entire Kubernetes environment, operating EKS clusters, overseeing container lifecycle and reliability, and providing developer tooling that enables teams to deploy and scale applications efficiently and securely.

If you are passionate about complex problem solving and motivated by scale, then this is the role for you!

Who will you work with?

You will be part of a dedicated team within LastPass, shaping future infrastructure, enabling seamless application delivery, and driving DevOps best practices across the organization. Leveraging your technical expertise, you will collaborate closely with architecture and security teams to ensure services remain secure, reliable, maintainable, and scalable.

What are some of the exciting challenges you will be working on?

• Own the architecture, design, and evolution of our Kubernetes-based platform on AWS, ensuring scalability, resilience, and operational excellence
• Develop, maintain, and optimize Kubernetes infrastructure using Infrastructure as Code (CDK), enforcing best practices and architectural standards
• Act as the technical guide and domain expert for Kubernetes architecture, collaborating closely with the Architecture team to bridge high-level strategy with implementation and guide engineering teams with clear patterns, reference architectures, and best-practice recommendations
• Lead technical decision-making across multiple teams, providing mentorship, design reviews, and hands-on support to drive platform consistency and quality
• Drive proactive improvements across the platform, identifying scaling issues, reliability gaps, or operational inefficiencies before they become problems
• Design and implement secure, compliant, and highly observable Kubernetes environments, integrating monitoring, logging, and alerting systems
• Lead and support the migration of non-cloud-native applications to the new infrastructure, assessing readiness and implementing best practices for scalability and maintainability
• Champion automation and GitOps practices to reduce manual work, eliminate drift, and improve release velocity
• Lead cross-team initiatives and influence technical direction outside your immediate organization, driving adoption of cloud-native best practices
• Participate in on-call rotations and contribute to incident response and root cause analysis

What does it take to work at LastPass?

• Expertise in Kubernetes cluster architecture and operations, including designing and maintaining multi-node clusters for performance, scalability, and fault tolerance
• Proficiency with service mesh technologies to manage observability, security, and traffic routing, along with experience implementing auto-scaling, optimizing resource utilization, and planning rolling upgrades and disaster recovery scenarios with zero downtime
• Solid knowledge of and experience with AWS and EKS
• Ability to assess application readiness and provide migration strategies for different application types while ensuring minimal disruption during transitions
• Automation mindset with the drive to identify and automate repetitive tasks and manual processes
• Experience with observability tools such as DataDog to ensure high uptime and fast issue resolution
• Strong problem-solving and troubleshooting abilities, with a collaborative, team-oriented approach and a can-do attitude
• Effective communication and collaboration skills across stakeholder groups of varied technical backgrounds, with strong written and verbal English proficiency
• Fluency with AI tools and large language models to support platform engineering, automation, and operational efficiency

It’s great, but not required:

• General familiarity with AI tools and large language models (e.g., Claude by Anthropic, AWS Bedrock)
• Experience with multiple IaC languages (CDK with TypeScript, CloudFormation)
• GitOps practices, including ArgoCD experience
• Multi-cloud experience (AWS required, Azure nice to have)

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Staff Software Engineer to serve as a senior technical leader on the Vantage platform. You will drive the design and delivery of complex, cross-cutting capabilities – spanning document AI pipelines, LLM integrations, compliance infrastructure, analytics, and platform extensibility. Beyond your own code, you will act as a technical multiplier: influencing architectural decisions, setting quality standards, and developing the engineers around you. This is a role for someone who leads through depth, judgment, and impact.

Job Responsibilities:

• Technical Leadership: Drive the technical design and delivery of significant Vantage platform capabilities, from architecture and API contracts through deployment, monitoring, and iteration.
• Quality & Standards: Define and uphold engineering standards for the Vantage codebase – covering code quality, service reliability, performance, security, and compliance – and drive their adoption across teams.
• Strategic Collaboration: Act as a senior technical voice in cross-functional planning with product management, ML engineering, cloud architecture, and engineering leadership; translate business priorities into actionable technical roadmaps.
• Platform Improvement: Lead initiatives to improve Vantage platform health at scale: service decomposition, observability, CI/CD maturity, and developer productivity.
• Operational Excellence: Own high-severity incident response for Vantage cloud services; drive post-mortems and systemic reliability improvements.
• Engineering Mentorship: Mentor Senior and Principal Engineers on the Vantage team; build a culture of technical rigor, shared ownership, and continuous learning.
• Technical Innovation: Evaluate and champion adoption of new technologies – from GenAI model integrations to cloud-native tooling – that strengthen ABBYY's Document AI differentiation.

Job Requirements:

• 10–13 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Strong command of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated ability to mentor Senior and Mid-level Engineers and partner with Engineering Managers on technical direction
• Experience leading technical design reviews and influencing architectural decisions across team and product boundaries

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Track record of delivering production-grade systems that meet enterprise compliance, security, and reliability standards
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Staff Software Engineer to serve as a senior technical leader on the Vantage platform. You will drive the design and delivery of complex, cross-cutting capabilities – spanning document AI pipelines, LLM integrations, compliance infrastructure, analytics, and platform extensibility. Beyond your own code, you will act as a technical multiplier: influencing architectural decisions, setting quality standards, and developing the engineers around you. This is a role for someone who leads through depth, judgment, and impact.

Job Responsibilities:

• Technical Leadership: Drive the technical design and delivery of significant Vantage platform capabilities, from architecture and API contracts through deployment, monitoring, and iteration.
• Quality & Standards: Define and uphold engineering standards for the Vantage codebase – covering code quality, service reliability, performance, security, and compliance – and drive their adoption across teams.
• Strategic Collaboration: Act as a senior technical voice in cross-functional planning with product management, ML engineering, cloud architecture, and engineering leadership; translate business priorities into actionable technical roadmaps.
• Platform Improvement: Lead initiatives to improve Vantage platform health at scale: service decomposition, observability, CI/CD maturity, and developer productivity.
• Operational Excellence: Own high-severity incident response for Vantage cloud services; drive post-mortems and systemic reliability improvements.
• Engineering Mentorship: Mentor Senior and Principal Engineers on the Vantage team; build a culture of technical rigor, shared ownership, and continuous learning.
• Technical Innovation: Evaluate and champion adoption of new technologies – from GenAI model integrations to cloud-native tooling – that strengthen ABBYY's Document AI differentiation.

Job Requirements:

• 10–13 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Strong command of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated ability to mentor Senior and Mid-level Engineers and partner with Engineering Managers on technical direction
• Experience leading technical design reviews and influencing architectural decisions across team and product boundaries

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Track record of delivering production-grade systems that meet enterprise compliance, security, and reliability standards
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

Here are some of our local benefits:

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Senior Software Engineer to join the Vantage engineering team. You will be a hands-on contributor building and evolving the services that power Vantage's document AI capabilities – from OCR pipelines and skill training workflows to API integrations and analytics infrastructure. You bring strong engineering fundamentals, a quality-first mindset, and a drive to deliver reliable, scalable software in a cloud-native environment.

Job Responsibilities:

• End-to-End Development: Design, develop, test, and deploy features and services within the Vantage platform, contributing to areas such as document processing pipelines, AI skill management, cloud infrastructure, and API layers.
• Code Quality: Write clean, maintainable, well-tested code; actively participate in code reviews and champion engineering best practices across your team.
• Cross-Functional Collaboration: Work closely with product managers, UX designers, ML engineers, and fellow software engineers to translate Vantage feature requirements into well-architected solutions.
• Continuous Improvement: Identify and surface improvements to existing Vantage services, tooling, and delivery workflows; contribute to reducing technical debt and increasing engineering velocity.
• System Reliability: Monitor the health and performance of Vantage cloud services; investigate and resolve production incidents in a timely manner.
• Technical Growth: Stay current with advances in Document AI, cloud-native patterns, and GenAI integration approaches that could enhance the Vantage platform.

Job Requirements:

• 5–9 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Good understanding of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated track record of delivering high-quality, testable code
• Strong analytical and debugging skills with the ability to investigate complex issues across distributed systems

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Familiarity with OCR, NLP and computer vision technologies
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Senior Software Engineer to join the Vantage engineering team. You will be a hands-on contributor building and evolving the services that power Vantage's document AI capabilities – from OCR pipelines and skill training workflows to API integrations and analytics infrastructure. You bring strong engineering fundamentals, a quality-first mindset, and a drive to deliver reliable, scalable software in a cloud-native environment.

Job Responsibilities:

• End-to-End Development: Design, develop, test, and deploy features and services within the Vantage platform, contributing to areas such as document processing pipelines, AI skill management, cloud infrastructure, and API layers.
• Code Quality: Write clean, maintainable, well-tested code; actively participate in code reviews and champion engineering best practices across your team.
• Cross-Functional Collaboration: Work closely with product managers, UX designers, ML engineers, and fellow software engineers to translate Vantage feature requirements into well-architected solutions.
• Continuous Improvement: Identify and surface improvements to existing Vantage services, tooling, and delivery workflows; contribute to reducing technical debt and increasing engineering velocity.
• System Reliability: Monitor the health and performance of Vantage cloud services; investigate and resolve production incidents in a timely manner.
• Technical Growth: Stay current with advances in Document AI, cloud-native patterns, and GenAI integration approaches that could enhance the Vantage platform.

Job Requirements:

• 5–9 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Good understanding of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated track record of delivering high-quality, testable code
• Strong analytical and debugging skills with the ability to investigate complex issues across distributed systems

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Familiarity with OCR, NLP and computer vision technologies
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

Here are some of our local benefits:

Position overview:

We’re looking for a Software Engineering Manager who blends technical depth with product intuition — someone who doesn’t just deliver features, but cares deeply about how they work, feel, and perform. 

You’ll lead a cross-functional engineering team modernizing one of the world’s most trusted governance, risk, and compliance platforms as we move forward to the direction of the AI native software development. 

This is not a pure “people manager” or “ticket shepherd” role. We’re looking for someone who: 

• Enjoys getting close to the product, collaborating daily with Product and UX to craft exceptional user experiences. 

• Brings a QA mindset — cares about stability, edge cases, and how things actually behave in users’ hands. 

• Thrives in uncertainty and isn’t afraid to explore new paths or challenge assumptions. 

• Wants to lead by example and elevate the team — technically, culturally, and strategically. 

Key Responsibilities 

• Lead and grow a cross-functional engineering team, combining developers and QA engineers into a high-performing unit with shared accountability for quality and delivery. 

• Collaborate closely with Product Managers and Designers to shape features from ideation to delivery — focusing on usability, performance, and customer value. 

• Raise the engineering bar through thoughtful code reviews, mentoring, and continuous improvement practices. 

• Drive technical direction: influence architecture, cloud strategy, observability, and test automation approaches. 

• Cultivate quality ownership: partner with QA to evolve testing frameworks, increase automation coverage, and make quality everyone’s responsibility. 

• Leverage AI and automation to remove friction from development, testing, and operations — identifying opportunities for intelligent tooling and integration. 

• Champion responsible AI practices, ensuring transparency, explainability, and control in every AI-assisted capability. 

• Foster a culture of curiosity and experimentation — encouraging engineers to prototype, measure, and iterate rapidly. 
• Contribute hands-on when needed (code reviews, architecture discussions, proof-of-concepts) while empowering your team to own their solutions. 

What You’ll Bring 

• 7+ years of professional software engineering experience, including 3+ years in a people management role. 

• A solid technical foundation — comfortable discussing system design, code quality, and architectural trade-offs. 

• A product-focused mindset — you think in terms of user impact and aren’t satisfied until the experience feels right. 

• Strong experience leading teams in agile environments, balancing delivery speed with technical quality. 

• Experience with modern development practices: CI/CD, trunk-based development, infrastructure-as-code, etc. 

• Understanding of QA practices and automation, and an appreciation for testing as a first-class citizen in software development. 

• Familiarity with AI/ML concepts and curiosity about practical applications (you don’t need to be a data scientist, but you should know what’s possible). 

• Excellent communication skills — you can translate between product, design, and engineering worlds effortlessly. 

Preferred Experience 

• Hands-on background in .NET, Angular, Python or Node.js 

• Experience with Cloud (AWS/Azure/GCP), CICD, DevOps, SQL/NoSQL databases 

• Use of AI-assisted developer tools such as Copilot, CodeWhisperer, or automated code review systems. 

• Track record of shipping high-quality, user-centered products. 

• A natural drive to push boundaries, learn fast, and make others better around you. 

#LI-Hybrid

About Us

At HSP Group, we're pioneering a new niche within the fast-growing industry of global expansion management. As a Stage B startup, we focus on delivering value through relentless innovation, execution, and customer delight. As part of a small but highly experienced and dynamic team, you will play a critical role in our company's success.

About Gateway HR

Gateway HR is our HRI

S platform designed specifically for global expansion management. It offers deep integration with Gateway GXM — our flagship global entity management platform — enabling capabilities like automatic payslip generation, intelligent contract management, and seamless cross-border compliance.

Our platform ecosystem already includes AI-powered document recognition and classification in production, event-driven serverless architecture on Azure, and a growing suite of integrated tools spanning HR, entity management, and compliance.

Job Description

This is a remote role

We're looking for a Lead Backend Engineer to own the technical direction of Gateway HR and drive its deep integration with GXM. You'll combine hands-on platform development with technical leadership of external development teams — evolving the architecture, building innovative features, and representing HSP's engineering standards across the codebase.

This is not a pure management role. You'll be writing code, reviewing PRs, challenging architectural decisions, and shipping features — while also setting the bar for quality and engineering practices.

The Team

You'll join a small, distributed engineering organization. Day-to-day, you'll work closely with the GXM backend team, an external development partner, and the product team. You report to the Director of Engineering. 

In your first 90 days, expect to: get hands-on with both the Gateway HR and GXM codebases, establish your code review cadence with the external team, ship your first meaningful feature and start shaping the integration roadmap.

Responsibilities

Architecture & Development

• Evolve the Gateway HR architecture for scale, reliability, and deeper integration with GXM
• Design and build backend systems for automated payroll processing, compliance monitoring, and intelligent document handling
• Extend AI capabilities already in production (document recognition, classification) to new HR workflows
• Design APIs and event-driven workflows using Azure Service Bus for complex, multi-tenant operations
• Work across both MongoDB and PostgreSQL — our ecosystem uses both, and you'll need fluency in each

Engineering Excellence & External Team Management

• Lead and manage external development teams — enforce standards, challenge estimates, catch quality gaps
• Conduct rigorous code reviews and establish testing strategies (unit, integration, end-to-end)
• Build CI/CD pipelines using GitHub Actions for rapid, safe deployment
• Implement observability and monitoring for distributed HR workflows
• Champion code quality through documentation, mentoring, and leading by example

Leadership & Collaboration

• Mentor backend and full-stack developers — both internal and external
• Represent HSP's engineering interests when working with external development partners
• Collaborate with the GXM team on shared infrastructure, integration patterns, and architectural decisions
• Work with product to translate HRIS vision into technical reality
• Implement feature flag strategies for safe rollout of new capabilities

Qualifications

Required

• 7+ years backend development, 3+ years in technical leadership
• Experience in a regulated or compliance-heavy industry — finance, healthcare, HR/payroll, or large-scale e-commerce — where data security, audit trails, and regulatory requirements are non-negotiable
• TypeScript/Node.js — maintainable, production-ready code
• Azure serverless — Functions, Service Bus, API Management
• PostgreSQL with ORM experience (Sequelize or similar)
• MongoDB with advanced data modeling
• Experience managing external development teams — code reviews, quality enforcement, architectural guidance
• Event-driven architecture and distributed systems design
• Terraform for infrastructure as code
• GitHub Actions for CI/CD
• Track record of establishing engineering practices and raising quality standards

Preferred

• Background in HR technology, payroll platforms, or global workforce management —understanding multi-country employment, compliance, and employee lifecycle challenges
• Cerbos or similar policy-based authorization engines
• WorkOS or similar identity/authentication platforms
• Novu or similar notification infrastructure
• Python for AI/ML integration, data analytics, or workflow scripting
• Terragrunt for advanced IaC patterns
• System migration and refactoring experience — evolving legacy systems while maintaining uptime
• Multi-tenant SaaS architecture and global scalability patterns

Why Join Us?

• Own the technical direction of a platform deeply integrated with our flagship GXM product
• Lead both internal and external teams — a true engineering leadership role, not just coding
• Real AI in production — not buzzwords, but working document recognition and classification you'll extend
• Direct impact on product direction, architecture, and engineering culture
• Modern stack — Azure serverless, TypeScript, event-driven, infrastructure as code
• Remote-first culture with a small, experienced team where your leadership directly shapes the product
• Unique market position — deep integration between HR and global expansion management

If you’re a driven individual who wants to make your mark in the heart of the innovation economy, we’d love to meet you. Join our #HSPGlobalSolutionTeam and help us power the next wave of global growth.

About Us

At HSP Group, we're pioneering a new niche within the fast-growing industry of global expansion management. As a Stage B startup, we focus on delivering value through relentless innovation, execution, and customer delight. As part of a small but highly experienced and dynamic team, you will play a critical role in our company's success.

About Gateway HR

Gateway HR is our HRIS platform designed specifically for global expansion management. It offers deep integration with Gateway GXM — our flagship global entity management platform — enabling capabilities like automatic payslip generation, intelligent contract management, and seamless cross-border compliance.

Our platform ecosystem already includes AI-powered document recognition and classification in production, event-driven serverless architecture on Azure, and a growing suite of integrated tools spanning HR, entity management, and compliance.

Job Description

This is a remote role

We're looking for a Lead Backend Engineer to own the technical direction of Gateway HR and drive its deep integration with GXM. You'll combine hands-on platform development with technical leadership of external development teams — evolving the architecture, building innovative features, and representing HSP's engineering standards across the codebase.

This is not a pure management role. You'll be writing code, reviewing PRs, challenging architectural decisions, and shipping features — while also setting the bar for quality and engineering practices.

The Team

You'll join a small, distributed engineering organization. Day-to-day, you'll work closely with the GXM backend team, an external development partner, and the product team. You report to the Director of Engineering. 

In your first 90 days, expect to: get hands-on with both the Gateway HR and GXM codebases, establish your code review cadence with the external team, ship your first meaningful feature and start shaping the integration roadmap.

Responsibilities

Architecture & Development

• Evolve the Gateway HR architecture for scale, reliability, and deeper integration with GXM
• Design and build backend systems for automated payroll processing, compliance monitoring, and intelligent document handling
• Extend AI capabilities already in production (document recognition, classification) to new HR workflows
• Design APIs and event-driven workflows using Azure Service Bus for complex, multi-tenant operations
• Work across both MongoDB and PostgreSQL — our ecosystem uses both, and you'll need fluency in each

Engineering Excellence & External Team Management

• Lead and manage external development teams — enforce standards, challenge estimates, catch quality gaps
• Conduct rigorous code reviews and establish testing strategies (unit, integration, end-to-end)
• Build CI/CD pipelines using GitHub Actions for rapid, safe deployment
• Implement observability and monitoring for distributed HR workflows
• Champion code quality through documentation, mentoring, and leading by example

Leadership & Collaboration

• Mentor backend and full-stack developers — both internal and external
• Represent HSP's engineering interests when working with external development partners
• Collaborate with the GXM team on shared infrastructure, integration patterns, and architectural decisions
• Work with product to translate HRIS vision into technical reality
• Implement feature flag strategies for safe rollout of new capabilities

Qualifications

Required

• 7+ years backend development, 3+ years in technical leadership
• Experience in a regulated or compliance-heavy industry — finance, healthcare, HR/payroll, or large-scale e-commerce — where data security, audit trails, and regulatory requirements are non-negotiable
• TypeScript/Node.js — maintainable, production-ready code
• Azure serverless — Functions, Service Bus, API Management
• PostgreSQL with ORM experience (Sequelize or similar)
• MongoDB with advanced data modeling
• Experience managing external development teams — code reviews, quality enforcement, architectural guidance
• Event-driven architecture and distributed systems design
• Terraform for infrastructure as code
• GitHub Actions for CI/CD
• Track record of establishing engineering practices and raising quality standards

Preferred

• Background in HR technology, payroll platforms, or global workforce management —understanding multi-country employment, compliance, and employee lifecycle challenges
• Cerbos or similar policy-based authorization engines
• WorkOS or similar identity/authentication platforms
• Novu or similar notification infrastructure
• Python for AI/ML integration, data analytics, or workflow scripting
• Terragrunt for advanced IaC patterns
• System migration and refactoring experience — evolving legacy systems while maintaining uptime
• Multi-tenant SaaS architecture and global scalability patterns

Why Join Us?

• Own the technical direction of a platform deeply integrated with our flagship GXM product
• Lead both internal and external teams — a true engineering leadership role, not just coding
• Real AI in production — not buzzwords, but working document recognition and classification you'll extend
• Direct impact on product direction, architecture, and engineering culture
• Modern stack — Azure serverless, TypeScript, event-driven, infrastructure as code
• Remote-first culture with a small, experienced team where your leadership directly shapes the product
• Unique market position — deep integration between HR and global expansion management

If you’re a driven individual who wants to make your mark in the heart of the innovation economy, we’d love to meet you. Join our #HSPGlobalSolutionTeam and help us power the next wave of global growth.

About Us

At HSP Group, we're pioneering a new niche within the fast-growing industry of global expansion management. As a Stage B startup, we focus on delivering value through relentless innovation, execution, and customer delight. As part of a small but highly experienced and dynamic team, you will play a critical role in our company's success.

About Gateway HR

Gateway HR is our HRIS platform designed specifically for global expansion management. It offers deep integration with Gateway GXM — our flagship global entity management platform — enabling capabilities like automatic payslip generation, intelligent contract management, and seamless cross-border compliance.

Our platform ecosystem already includes AI-powered document recognition and classification in production, event-driven serverless architecture on Azure, and a growing suite of integrated tools spanning HR, entity management, and compliance.

Job Description

This is a remote role

We're looking for a Lead Backend Engineer to own the technical direction of Gateway HR and drive its deep integration with GXM. You'll combine hands-on platform development with technical leadership of external development teams — evolving the architecture, building innovative features, and representing HSP's engineering standards across the codebase.

This is not a pure management role. You'll be writing code, reviewing PRs, challenging architectural decisions, and shipping features — while also setting the bar for quality and engineering practices.

The Team

You'll join a small, distributed engineering organization. Day-to-day, you'll work closely with the GXM backend team, an external development partner, and the product team. You report to the Director of Engineering. 

In your first 90 days, expect to: get hands-on with both the Gateway HR and GXM codebases, establish your code review cadence with the external team, ship your first meaningful feature and start shaping the integration roadmap.

Responsibilities:

Architecture & Development

• Evolve the Gateway HR architecture for scale, reliability, and deeper integration with GXM
• Design and build backend systems for automated payroll processing, compliance monitoring, and intelligent document handling
• Extend AI capabilities already in production (document recognition, classification) to new HR workflows
• Design APIs and event-driven workflows using Azure Service Bus for complex, multi-tenant operations
• Work across both MongoDB and PostgreSQL — our ecosystem uses both, and you'll need fluency in each

Engineering Excellence & External Team Management

• Lead and manage external development teams — enforce standards, challenge estimates, catch quality gaps
• Conduct rigorous code reviews and establish testing strategies (unit, integration, end-to-end)
• Build CI/CD pipelines using GitHub Actions for rapid, safe deployment
• Implement observability and monitoring for distributed HR workflows
• Champion code quality through documentation, mentoring, and leading by example

Leadership & Collaboration

• Mentor backend and full-stack developers — both internal and external
• Represent HSP's engineering interests when working with external development partners
• Collaborate with the GXM team on shared infrastructure, integration patterns, and architectural decisions
• Work with product to translate HRIS vision into technical reality
• Implement feature flag strategies for safe rollout of new capabilities

Qualifications:

Required

• 7+ years backend development, 3+ years in technical leadership
• Experience in a regulated or compliance-heavy industry — finance, healthcare, HR/payroll, or large-scale e-commerce — where data security, audit trails, and regulatory requirements are non-negotiable
• TypeScript/Node.js — maintainable, production-ready code
• Azure serverless — Functions, Service Bus, API Management
• PostgreSQL with ORM experience (Sequelize or similar)
• MongoDB with advanced data modeling
• Experience managing external development teams — code reviews, quality enforcement, architectural guidance
• Event-driven architecture and distributed systems design
• Terraform for infrastructure as code
• GitHub Actions for CI/CD
• Track record of establishing engineering practices and raising quality standards

Preferred:

• Background in HR technology, payroll platforms, or global workforce management —understanding multi-country employment, compliance, and employee lifecycle challenges
• Cerbos or similar policy-based authorization engines
• WorkOS or similar identity/authentication platforms
• Novu or similar notification infrastructure
• Python for AI/ML integration, data analytics, or workflow scripting
• Terragrunt for advanced IaC patterns
• System migration and refactoring experience — evolving legacy systems while maintaining uptime
• Multi-tenant SaaS architecture and global scalability patterns

Why Join Us?

• Own the technical direction of a platform deeply integrated with our flagship GXM product
• Lead both internal and external teams — a true engineering leadership role, not just coding
• Real AI in production — not buzzwords, but working document recognition and classification you'll extend
• Direct impact on product direction, architecture, and engineering culture
• Modern stack — Azure serverless, TypeScript, event-driven, infrastructure as code
• Remote-first culture with a small, experienced team where your leadership directly shapes the product
• Unique market position — deep integration between HR and global expansion management

If you’re a driven individual who wants to make your mark in the heart of the innovation economy, we’d love to meet you. Join our #HSPGlobalSolutionTeam and help us power the next wave of global growth.

Position Overview:  

As a Staff Software Engineer at Diligent, you’ll create robust, scalable, and secure microservices that power our SaaS platform for governance. You’ll leverage AWS (serverless or migrations) with TypeScript, own services end-to-end (code, deployment, monitoring), drive architecture discussions, and regularly demo to the department. A critical part of this role is shaping our AI strategy: you’ll lead design decisions, embed AI responsibly into systems, and mentor teams on AI capabilities, safety, and governance. 

Key Responsibilities: 

• Champion the design and delivery of secure, high-performance microservices on AWS, driving architecture decisions and empowering team members through mentorship.
• Set technical direction across multiple teams, spotting system pain points and proposing improvements.
• Pioneer AI-driven solutions by advising on model capabilities, crafting effective prompt strategies, and embedding governance and monitoring into development workflows.
• Partner with Product, Security, and DevOps to shape technical roadmaps, ensure compliance, and seamlessly integrate AI features that deliver real business value.
• Continuously elevate our toolkit by evaluating and piloting cutting-edge technologies (including AI toolchains), optimizing for performance, cost efficiency, and developer productivity.
• Own projects end-to-end—from ideation and prototyping to deployment, monitoring, and iteration—ensuring resilient, maintainable systems and top-notch code quality.
• Mentor engineers in best practices and AI-augmented workflows, fostering a culture of experimentation, learning, and ethical AI adoption.
• Stay ahead of emerging AI trends and regulations, proactively adapting designs and practices to meet evolving standards and steer future innovation. 

Required Experience/Skills  

• 7–10 years delivering secure, scalable applications in agile environments.
• Understanding of model architectures (e.g., transformer vs. retrieval-augmented), bias and safety concerns, prompt engineering, and proven experience shaping AI strategy and mentoring teams on responsible AI use. Ability to architect AI systems with embedded monitoring and governance.
• Design and review scalable, high-performance system architectures, APIs, and data models, while writing high-quality, testable code in Node.js, React, and TypeScript/JavaScript, including reusable libraries and frameworks.
• Lead end-to-end DevOps and platform engineering, including CI/CD pipeline design with strong guardrails, infrastructure-as-code and modern deployment strategies, cloud observability and incident response, and cost-aware architecture and capacity planning across AWS, Azure, and GCP
• Integrates security best practices (IAM, secrets management) into all work, including AI components, and embeds bias/privacy checks in delivery pipelines.
• Strong communication of technical and AI-related concepts to diverse stakeholders; proven ability to lead projects, influence engineering culture, and mentor peers in AI-augmented workflows.
• Degree in Computer Science, Engineering, Mathematics, or equivalent experience.