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.

Kimchi is an open-source AI inference platform built for teams running serious agentic coding workloads. We're building the harness, the routing, and the infrastructure layer that makes running your own AI coding stack possible - and affordable. We're early, moving fast, and the developer community is central to how we grow.

What you'll do

• Build things publicly with Kimchi - tutorials, demos, integrations - that show developers how to solve real problems. Think live build logs, OSS integrations, or benchmarks you'd want to read yourself.
• Be the voice of the the developer community: Discord, GitHub discussions, Reddit, HN - be present where developers are already talking about the problems we solve
• Be the structured feedback loop between dev community and product - synthesize what you're hearing into actionable signals for the product team. 
• Write technical content that ranks and spreads: setup guides, benchmark breakdowns, comparison posts, integration walkthroughs
• Speak at conferences, meetups and run workshops - representing Kimchi as a technical peer
• Identify where new users get stuck and advocate hard for fixes
• Help shape Kimchi's voice in the developer community - what we stand for, what we say when there is trending news in the market 

What we're looking for

• You've built real software and can talk about it credibly - ideally you've used agentic coding tools and have opinions about them
• You're a strong technical writer - you can explain complex things clearly and make them resonate with the developer audience
• You're comfortable being the public face of a technical product: blog posts, talks, live demos, community threads
• Huge plus: You'd have tested and found problems Kimchi solves interesting -  before this job posting even existed
• Bonus: you've worked in or around Kubernetes, LLM inference, or developer tooling

What’s in it for you?

• 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.
• 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
• 1-2 additional interviews based on the role
• 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

As a Senior Windows Identity Detection Engineer you will research and detect emerging identity threats by developing behavior-based detection methods. You’ll build tools and PoCs to identify and prevent attacks such as Pass-the-Hash, Silver Ticket, and MFA bypass. Your work will directly strengthen the security of millions of Windows endpoints protected by the platform. In this role, you’ll have a unique opportunity to expand your skillset beyond just Windows security, and to not only contribute, but to significantly influence the buildout of a new side of our business - Identity security - from the ground up!

What will you do?

Primary responsibilities include: 

• You’ll be responsible for detecting the newest identity threats. Your role won’t end with a hypothesis or a document - you’ll have an end to end responsibility for behaviour based detection capabilities, starting from researching attack techniques, designing new methods to detect or prevent those, and implementing it in the product in the end (SW development in C++23 and scripting in Lua).
• You’ll be developing and using internal research tools, PoCs and discovering new ways to detect/prevent identity-based attacks (Pass the Hash, Silver ticket, MFA bypass and more). 
• At the end of the day, your deliveries will enhance the security of dozens of millions of Windows endpoints which are protected by our platform.

What experience or knowledge should you bring?

Ideal candidates will have: 

• 3+ years of experience in malware analysis (statically and dynamically)
• 3+ years of experience with C++, an advantage would be knowledge of Lua or similar scripting language 
• Excellent understanding of the Windows Internals  - understanding how core system components (Process and Threads, Virtual Memory and more) work behind the scenes.
• Experienced with analysis tools, such as: IDA, WinDBG, SysInternals etc.
• A big plus - experience with Identity-based attacks (Pass the Hash, Silver ticket, MFA bypass and more)
• An advantage would be - kernel development experience and/or understanding of existing AVs internals

Why SentinelOne? 

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Salary starting from 4500 EUR/month. Annual bonus based on company performance, paid in two installments. The final base salary may be adjusted based on the individual skills and experience of the selected candidate.
• Enjoy flexible working hours and the option to work remotely from anywhere in Slovakia. We offer access to major co-working spaces for those who prefer an office environment. In Czechia, you can also work from our modern offices in Prague or Brno.
• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Wellbeing: Pension Insurance Contribution, Premium life insurance, Paid Multisport Benefit Card and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and Multisport card paid by SentinelOne.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

Be part of an inclusive, innovative workplace that values belonging, flexibility, and growth!

As a Senior Software Engineer - Agent (Endpoint Protection) Platform, you will design, develop, and operate large-scale, low-latency applications engineered to process several millions of events per second. You will own the end-to-end lifecycle of high-volume data pipelines, ensuring mission-critical stability and data integrity through rigorous testing and proactive monitoring of key performance metrics. By continuously refining the codebase and optimizing for distributed scale, you will build the resilient backbone that allows SentinelOne’s platform to stay ahead of global cyber threats in real-time.

What will you do?

• Design, develop, implement, test, document, and operate large-scale, high-volume and low latency applications, built to handle several millions of events per second.

• Translate business and functional requirements into robust, scalable, operable solutions that work well within the overall data architecture.

• Participate and collaborate with cross functional teams in the organization to understand the business requirements and to deliver solutions that can scale.

• Maintain application stability and data integrity by monitoring key metrics and improving codebase accordingly.

• Understand & maintain existing codebase by regular re-factoring and applying requested fixes and features.

• Learn new technologies that can solve our huge volume of data and the challenges it poses.

Your Toolkit:

• Our new components are primarily developed in Go and Java, and we use Python in our current backend environment.

• Communication between microservices is facilitated using gRPC, REST, GraphQL APIs, and Kafka, depending on specific requirements.

• We use Redis, PostgreSQL, Cassandra, ClickHouse and have our columnar time-series database for efficient event storage and retrieval at scale.

• Our services are deployed across multiple AWS/GCP regions with Kubernetes; among other tools, you'd also use Docker, GitHub and ArgoCD.

• To enable you in your work, we provide company access to various modern AI-powered tools for both R&D and non-R&D tasks.

What Skills and Knowledge Will You Bring?

• Multiple years of professional backend development experience in one or more of the following: Golang, Java, Python

• Ability to quickly dive into new products and understand their inner workings

• Self-driven individual

• Experience with large-scale high-load distributed systems & performance

• Experience with AWS, GCP, and/or other cloud platforms, and with Docker, Helm, and Kubernetes

• Excellent communication skills - you will be regularly in touch with Product, Technical Account Managers (who provide feedback from clients) and other cross-functional teams

• Experience with Kafka, PostgreSQL, MongoDB, Redis

• Experience in an enterprise SaaS company or cybersecurity SaaS company

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Salary starting from 5000 EUR/month. Annual bonus based on company performance, paid in two installments. The final base salary may be adjusted based on the individual skills and experience of the selected candidate.
• Enjoy flexible working hours and the option to work remotely from anywhere in Slovakia. We offer access to major co-working spaces for those who prefer an office environment. In Czechia, you can also work from our modern offices in Prague or Brno.
• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Wellbeing: Pension Insurance Contribution, Premium life insurance, Paid Multisport Benefit Card and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and Multisport card paid by SentinelOne.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

We are seeking an experienced Staff Platform Engineer / Software Engineer who will serve as a technical leader with dozens of engineering teams. You are someone who enjoys bridging the gap between software engineering and systems architecture, and not just managing infra, but building Internal Developer Platform (IDP) on Kubernetes, and APIs that enable scalability, efficiency, productivity, and developer joy. You are a "doer" who can pivot from writing high-quality production code to influencing the architectural direction of our CI/CD pipelines and service catalogs (e.g., Backstage), as well as be the next frontier of Generative AI integration.

Our Developer Experience (DevEx) organization’s mission is to partner with SentinelOne engineering teams to accelerate the velocity of software delivery through continuous innovation and standardization. We are building a platform that serves nearly 1,000 engineers to release services and features to our customers, making it easy to move from POC to production safely and quickly. We're also transforming our CI/CD from a traditional pipeline into an AI-driven engine - you will help us build a platform where AI proactively helps developers write & ship code, generates high-coverage test suites on the fly, and performs the first pass of PR reviews with human-level context. 

What Will You Do?

• Partner with Engineers, Build & Automate: The engineering teams are our primary customers - you will be working with them to understand their pain points and find long term solutions.
  • You will be building the IDP as the "Golden Path", and tools that improve the quality of life and streamlining the development process for the teams, so that they can build without having to worry about the underlying infrastructure.
  • You will be also building scalable solutions in collaboration with other infrastructure teams.
• Modernize the Stack: Collaborate with architects to evaluate and implement modern tools (e.g., ArgoCD, GitHub Actions) and deployment strategies (Canary, Blue/Green).
• Lead the AI-Driven CI/CD Shift: Architect and implement AI-powered workflows that assist in code generation, automated testing, and intelligent PR analysis to eliminate developer friction.
• Operational Ownership: Identify causes of toil across engineering orgs and eliminate them through automation, enhancing overall system reliability and developer satisfaction.
• Cross-Functional Influence: Partner with Product, Security, and Finance teams to align technical roadmaps with business value and customer needs. You will influence strategy and ensure our platform is as lean as it is powerful.
• Impact: You will participate in the full software development lifecycle, including requirements analysis, architecture design, coding, testing, and deployment.
• Deal with global scale: Our security SW products protect 15,000 enterprise and government clients across the globe, incl. 4 of Fortune 10, and process 9+ Petabytes of data daily and 3+ Trillion security events across multiple AWS/GCP regions and GovCloud, supported by a large Kubernetes control plane with 80+clusters and tens of thousands of nodes.

Our stack: Go, Python; Kubernetes, Docker, AWS, GCP, FedRAMP; GitHub Actions, ArgoCD; GitHub Enterprise; depending on the requirements of the service for communication, we use Kafka, REST API, GraphQL, gRPC, etc.; Postgres, MongoDB, Redis, ClickHouse; Prometheus/Thanos, Grafana

What Skills and Knowledge Will You Bring?

• Demonstrated proficiency in Go or Python. Experience in the full SDLC, from requirements to production-ready code
• Experience with AWS and/or GCP. Knowledge of Kubernetes or similar orchestration systems
• Experience with CI/CD tooling at scale (e.g., GitHub Actions, ArgoCD, Jenkins etc.) and GitOps approach
• Strong experience with Terraform, Pulumi, or similar IaC frameworks
• Familiarity with DevEx fundamentals, including Service Catalogs (Backstage), REST APIs, or gRPC
• Familiarity with both SQL (Postgres) and NoSQL (MongoDB, ClickHouse, or Redis)
• You are passionate about (and ideally have experience in) integrating LLMs and AI agents into the developer workflow to drive productivity
• Excellent problem-solving skills, strong ownership and accountability, with proven experience driving large, impactful projects
• Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments, and stakeholders in multiple time zones

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Salary starting from 5000 EUR/month. Annual bonus based on company performance, paid in two installments. The final base salary may be adjusted based on the individual skills and experience of the selected candidate.
• Enjoy flexible working hours and the option to work remotely from anywhere in Slovakia. We offer access to major co-working spaces for those who prefer an office environment. In Czechia, you can also work from our modern offices in Prague or Brno.
• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Wellbeing: Pension Insurance Contribution, Premium life insurance, Paid Multisport Benefit Card and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and Multisport card paid by SentinelOne.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

Be part of an inclusive, innovative workplace that values belonging, flexibility, and growth!

We are seeking an experienced Staff Software Engineer / Platform Engineer who will serve as a technical leader with dozens of engineering teams. You are someone who enjoys bridging the gap between software engineering and systems architecture, and not just managing infra, but building Internal Developer Platform (IDP) on Kubernetes, and APIs that enable scalability, efficiency, productivity, and developer joy. You are a "doer" who can pivot from writing high-quality production code to influencing the architectural direction of our CI/CD pipelines and service catalogs (e.g., Backstage), as well as be the next frontier of Generative AI integration.

Our Developer Experience (DevEx) organization’s mission is to partner with SentinelOne engineering teams to accelerate the velocity of software delivery through continuous innovation and standardization. We are building a platform that serves nearly 1,000 engineers to release services and features to our customers, making it easy to move from POC to production safely and quickly. We're also transforming our CI/CD from a traditional pipeline into an AI-driven engine - you will help us build a platform where AI proactively helps developers write & ship code, generates high-coverage test suites on the fly, and performs the first pass of PR reviews with human-level context. 

What Will You Do?

• Partner with Engineers, Build & Automate: The engineering teams are our primary customers - you will be working with them to understand their pain points and find long term solutions.
  • You will be building the IDP as the "Golden Path", and tools that improve the quality of life and streamlining the development process for the teams, so that they can build without having to worry about the underlying infrastructure.
  • You will be also building scalable solutions in collaboration with other infrastructure teams.
• Modernize the Stack: Collaborate with architects to evaluate and implement modern tools (e.g., ArgoCD, GitHub Actions) and deployment strategies (Canary, Blue/Green).
• Lead the AI-Driven CI/CD Shift: Architect and implement AI-powered workflows that assist in code generation, automated testing, and intelligent PR analysis to eliminate developer friction.
• Operational Ownership: Identify causes of toil across engineering orgs and eliminate them through automation, enhancing overall system reliability and developer satisfaction.
• Cross-Functional Influence: Partner with Product, Security, and Finance teams to align technical roadmaps with business value and customer needs. You will influence strategy and ensure our platform is as lean as it is powerful.
• Impact: You will participate in the full software development lifecycle, including requirements analysis, architecture design, coding, testing, and deployment.
• Deal with global scale: Our security SW products protect 15,000 enterprise and government clients across the globe, incl. 4 of Fortune 10, and process 9+ Petabytes of data daily and 3+ Trillion security events across multiple AWS/GCP regions and GovCloud, supported by a large Kubernetes control plane with 80+clusters and tens of thousands of nodes.

Our stack: Go, Python; Kubernetes, Docker, AWS, GCP, FedRAMP; GitHub Actions, ArgoCD; GitHub Enterprise; depending on the requirements of the service for communication, we use Kafka, REST API, GraphQL, gRPC, etc.; Postgres, MongoDB, Redis, ClickHouse; Prometheus/Thanos, Grafana

What Skills and Knowledge Will You Bring?

• Demonstrated proficiency in Go or Python. Experience in the full SDLC, from requirements to production-ready code
• Experience with AWS and/or GCP. Knowledge of Kubernetes or similar orchestration systems
• Experience with CI/CD tooling at scale (e.g., GitHub Actions, ArgoCD, Jenkins etc.) and GitOps approach
• Strong experience with Terraform, Pulumi, or similar IaC frameworks
• Familiarity with DevEx fundamentals, including Service Catalogs (Backstage), REST APIs, or gRPC
• Familiarity with both SQL (Postgres) and NoSQL (MongoDB, ClickHouse, or Redis)
• You are passionate about (and ideally have experience in) integrating LLMs and AI agents into the developer workflow to drive productivity
• Excellent problem-solving skills, strong ownership and accountability, with proven experience driving large, impactful projects
• Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments, and stakeholders in multiple time zones

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Salary starting from 5000 EUR/month. Annual bonus based on company performance, paid in two installments. The final base salary may be adjusted based on the individual skills and experience of the selected candidate.
• Enjoy flexible working hours and the option to work remotely from anywhere in Slovakia. We offer access to major co-working spaces for those who prefer an office environment. In Czechia, you can also work from our modern offices in Prague or Brno.
• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: Flexible Time Off, on top of the standard 5 weeks vacation, flexible paid sick days, fully paid Short Term Sick/Nursing Leave, 16-week parental leave, grandparent leave, and additional company holidays.
• Insurance & Wellbeing: Pension Insurance Contribution, Premium life insurance, Paid Multisport Benefit Card and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and Multisport card paid by SentinelOne.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

Be part of an inclusive, innovative workplace that values belonging, flexibility, and growth!

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 dedicated DevOps Engineer to join our Analytics team and manage our in-memory database (IMF) and related services. Our system runs on Google Cloud Platform (GCP) and Kubernetes and integrates with Kafka, MongoDB, and other services. Your job will be to keep our databases and services running smoothly, maintain reliable monitoring, and develop tools and automation for new releases, maintenance, and incident management.

The team works remotely in the Central European Time Zone. We are happy to meet you in Brno, Prague (Czechia) or Bratislava (Slovakia), where our headquarters is located. Salary ranges from 4,200 EUR gross/month, depending on your seniority.

Responsibilities

• System Administration:
• Manage and configure our Kubernetes components to ensure they are highly available, reliable, and perform well.
• Incident Management:
• Handle incident responses and perform root cause analysis for critical issues.
• Participate in a 24/7 on-call rotation, with each duty lasting 1 week. We aim to have 4 engineers in the rotation.
• Automation and Tools Development: Create and maintain scripts and tools using Python and Go to automate operations and reduce manual tasks.
• Scaling and Resource Planning:
• Monitor system performance and plan for future scaling.
• Ensure there are enough resources during peak times.
• Monitoring and Logging:
• Set up and maintain systems to monitor and log activities, so issues can be detected and addressed early.
• Backup and Recovery:
• Ensure our database has reliable backups and efficient tools for quick and smooth recovery.
• Collaboration:
• Work closely with other engineers and product managers to ensure successful project delivery.
• Collaborate with L2 support engineers to ensure seamless operations and effective problem resolution.

Qualifications

Experience:

• Worked in DevOps or Site Reliability Engineering (SRE) before.
• Understand basic DevOps principles.
• Familiar with cloud platforms, especially Google Cloud Platform (GCP).
• It’s important to know how to use Kubernetes.
• Know how to build and maintain CI/CD pipelines in GitLab or similar.

Skills:

• Good at automating tasks and scripting with Python, Go, or Shell (for basic Linux tasks and Kubernetes management).
• Experienced in handling and resolving incidents.

Tools:

• Know how to use monitoring tools such as VictoriaMetrics and Grafana.
• Familiar with logging tools.

Problem-solving:

• Good at analyzing issues and finding solutions.

Communication:

• Can communicate well and work well with remote teams.

Adaptability:

• Able to work on your own and manage multiple tasks.
• Comfortable working in a fast-paced environment.

Our stack

• GitLab
• Victoria metrics, Grafana, InfluxDB, Chronograf, Sentry
• IMF (our in-memory database written in C++), Apache Kafka, MongoDB
• Kubernetes (GKE), Google Cloud Platform, gRPC
• Python, Go

Your success story.

First 30 Days:

• Get to know the team, the company, and key processes.
• Start working on your first tasks.
• Learn about our infrastructure, release process, tools, and product with our help.

First 90 Days:

• Take an active role in daily operations, including monitoring and incident management.
• Work on small automation projects to make routine tasks easier and improve efficiency.
• Help develop and maintain internal tools for monitoring, logging, and automation.
• Join the on-call rotation with support from experienced team members.

First 180 Days:

• Take ownership of specific tasks and projects, working independently.
• Contribute to scaling and resource planning to ensure the system can handle future growth and peak times.
• Understand the team's direction and help shape our future.

#LI-KP1

We are looking for a dedicated DevOps Engineer to join our Analytics team and manage our in-memory database (IMF) and related services. Our system runs on Google Cloud Platform (GCP) and Kubernetes and integrates with Kafka, MongoDB, and other services. Your job will be to keep our databases and services running smoothly, maintain reliable monitoring, and develop tools and automation for new releases, maintenance, and incident management.

The team works remotely in the Central European Time Zone. We are happy to meet you in Brno, Prague (Czechia) or Bratislava (Slovakia), where our headquarters is located. 

Responsibilities

• System Administration:
• Manage and configure our Kubernetes components to ensure they are highly available, reliable, and perform well.
• Incident Management:
• Handle incident responses and perform root cause analysis for critical issues.
• Participate in a 24/7 on-call rotation, with each duty lasting 1 week. We aim to have 4 engineers in the rotation.
• Automation and Tools Development: Create and maintain scripts and tools using Python and Go to automate operations and reduce manual tasks.
• Scaling and Resource Planning:
• Monitor system performance and plan for future scaling.
• Ensure there are enough resources during peak times.
• Monitoring and Logging:
• Set up and maintain systems to monitor and log activities, so issues can be detected and addressed early.
• Backup and Recovery:
• Ensure our database has reliable backups and efficient tools for quick and smooth recovery.
• Collaboration:
• Work closely with other engineers and product managers to ensure successful project delivery.
• Collaborate with L2 support engineers to ensure seamless operations and effective problem resolution.

Qualifications

Experience:

• Worked in DevOps or Site Reliability Engineering (SRE) before.
• Understand basic DevOps principles.
• Familiar with cloud platforms, especially Google Cloud Platform (GCP).
• It’s important to know how to use Kubernetes.
• Know how to build and maintain CI/CD pipelines in GitLab or similar.

Skills:

• Good at automating tasks and scripting with Python, Go, or Shell (for basic Linux tasks and Kubernetes management).
• Experienced in handling and resolving incidents.

Tools:

• Know how to use monitoring tools such as VictoriaMetrics and Grafana.
• Familiar with logging tools.

Problem-solving:

• Good at analyzing issues and finding solutions.

Communication:

• Can communicate well and work well with remote teams.

Adaptability:

• Able to work on your own and manage multiple tasks.
• Comfortable working in a fast-paced environment.

Our stack

• GitLab
• Victoria metrics, Grafana, InfluxDB, Chronograf, Sentry
• IMF (our in-memory database written in C++), Apache Kafka, MongoDB
• Kubernetes (GKE), Google Cloud Platform, gRPC
• Python, Go

Your success story.

First 30 Days:

• Get to know the team, the company, and key processes.
• Start working on your first tasks.
• Learn about our infrastructure, release process, tools, and product with our help.

First 90 Days:

• Take an active role in daily operations, including monitoring and incident management.
• Work on small automation projects to make routine tasks easier and improve efficiency.
• Help develop and maintain internal tools for monitoring, logging, and automation.
• Join the on-call rotation with support from experienced team members.

First 180 Days:

• Take ownership of specific tasks and projects, working independently.
• Contribute to scaling and resource planning to ensure the system can handle future growth and peak times.
• Understand the team's direction and help shape our future.

#LI-KP1

Are you looking for a cutting-edge tech stack to work with and to make an impact on a daily basis? We are currently forming a team of software engineers dedicated to developing and maintaining Web & Mobile SDKs for our customers, and we are looking for a new colleague to join as a Senior Software Engineer for JS Web SDK & React Native Mobile SDK (Engagement). For candidates at the P3 / Senior Software Engineer level, starting monthly compensation begins at 3700 € gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included. Working in one of our Central European offices (Brno, Prague, Bratislava) or from home on a full-time basis, you‘ll become a core part of the Engineering Team.

What challenge awaits you?

As a Senior Software Engineer for JS Web SDK & React Native Mobile SDK at our company, you'll encounter exciting, high-end technical challenges. You'll be part of a team that delivers innovative features, enabling our clients to build powerful mobile applications using Web & Mobile SDKs on platforms of their preference (Web: TypeScript, Mobile Natives: Android, iOS, Mobile Wrappers: React Native, Flutter). These SDKs track user behavior and provide capabilities to deliver personalized content. You’ll work on implementing and extending components that provide features like push notifications, in-app messaging, tracking, dynamic rendering, and many more. We will encourage you to explore and engage with various parts of our platform. Your primary focus will be in JavaScript / TypeScript for Web & Mobile React Native SDK Wrapper.

Your job will be to:

1. Design & Deliver new features
2. Ensure quality and compatibility
3. Support and Maintain owned components

a. Design & Deliver new features

• Translate business requirements for product features into detailed technical specifications and comprehensive design documents.
• Define and develop new features with a strong emphasis on quality, usability, and performance.
• Build, publish and monitor new versions of React Native Platform, ensuring seamless adoption.
• Stay updated with the latest industry trends and technologies to incorporate best practices into the development process.

b. Ensure quality and compatibility

• Implement robust testing, and validation processes to ensure the reliability and stability of the new features.
• Measure and tune client-side performance of our features.
• Continuously improve the technical quality and ease of use of Web & React Native SDKs.
• Make sure we utilize all the mobile technologies in the best way - ensuring our Web & React Native SDKs are functional, secure and high performance. 
• Conduct regular code reviews and use static code analysis tools to maintain high code quality.
• Collaborate with QA engineers to develop comprehensive test plans and automated tests. 

c. Support and Maintain owned components

• Provide ongoing support and maintenance for existing features, including troubleshooting issues, fixing bugs, and implementing enhancements.
• Support our client-facing colleagues in the investigation of possible issues (L3 support).
• Document code including guides, configuration instructions, feature descriptions, design decisions, and operational procedures to facilitate ongoing maintenance and knowledge sharing.
• Utilize feedback from users and stakeholders to continually improve the functionality and usability of Mobile SDKs.

What tech stack do we have for you?

• Web JavaScript / TypeScript SDK: JavaScript, TypeScript, HTML/CSS, Mustache, Jest, Karma, Docker
• React Native Wrapper Mobile SDK (Android & iOS): React Native, JavaScript & TypeScript, CocoaPods, Yarn, npm, Babel, Jest
• Common Tech Stack: Software & Tools - Grafana, Sentry, GitHub, GitLab, Jira, Productboard

You will be developing new features and maintaining the codebase to ensure compatibility with different versions. Therefore, you should be passionate about new features in mobile technologies, and be keen to investigate how personalization may work in the context of today's privacy-focused digital world.

Both Web & Mobile SDKs are being integrated with internal APIs written in Golang & Python, which run on top of Kubernetes and Google Cloud. While these won’t be your primary focus, we highly value your involvement in other parts of the platform.

Your success story will be:

• In 30 Days: Successfully onboard, get familiar with Web JavaScript / TypeScript & React Native Mobile SDKs, and contribute to ongoing tasks, demonstrating understanding of the codebase and team processes.
• In 90 Days: Contribute to design discussions and independently deliver high-quality code for assigned features. Participate in investigating and resolving production issues.
• In 180 Days: Independently manage larger tasks, contribute to team improvements, and confidently handle L3 support, investigating and resolving production issues.

You have the following experience and qualities:

1. Professional — Proven experience in web & mobile development, knowledge of wrappers, mobile ecosystem, system design, and maintenance.
2. Personal — Demonstrates strong initiative, ability to work within a team, communication skills, and a commitment to continuous learning and improvement.

Professional experience

• Proven experience in the area of web & mobile development, which is essential for building SDKs for web browsers and React Native mobile applications.
• Overview of technologies and programming languages used for wrapping mobile applications.
• Solid understanding of the mobile development ecosystem. An experience in building libraries or SDKs is an advantage. Familiarity with the build and publishing of mobile applications.
• Experience with dynamic rendering would be a valued asset.
• Experience with version control systems (Git) and CI/CD pipelines. We utilize Git for code management and CI/CD pipelines for efficient development and deployment.

Personal qualities

• Demonstrates strong initiative and a proactive approach to problem-solving.
• Excellent communication and collaboration skills, with the ability to work effectively within a team.
• A genuine passion for learning new technologies and keeping up-to-date with the latest advancements.
• A commitment to delivering high-quality work and a dedication to continuous improvement.

#LI-KP1

How You'll Make an Impact: 

As a Senior DevOps Engineer at Cloudbeds, your goal is to constantly improve and scale our SaaS platform to deliver an exceptional experience to hoteliers and their guests worldwide. You'll own the creation, monitoring, automation, and support of our cloud infrastructure and delivery pipelines — enabling product teams to ship high-quality software with speed and confidence. Working within a bottom-up culture that values healthy debate and collaborative problem-solving, you'll have real influence over architecture decisions and the opportunity to shape how we scale infrastructure for one of the fastest-growing hospitality technology platforms in the world.

Our Infrastructure Team: 

Our Infrastructure team is made up of engineers who take genuine pride in their craft, owning projects end-to-end and holding themselves to a high bar. We're passionate about technology and constantly pushing to improve our stack, not just maintain it. If you thrive in an environment where attention to detail matters, great communication is a given, and you're comfortable challenging the status quo to make things better, you'll feel right at home here.

What You Bring to the Team:

• Architect, improve, and scale Cloudbeds' cloud infrastructure on AWS, with a focus on reliability, security, and performance
• Build and evolve our Kubernetes (EKS) platform, driving adoption of containerization best practices across engineering teams
• Automate infrastructure provisioning and configuration using infrastructure-as-code tools like Terraform
• Design, build, and maintain CI/CD pipelines (GitHub Actions, ArgoCD) that enable fast, reliable software delivery
• Partner with product and engineering teams to drive projects to production, sharing DevOps expertise and ensuring strong environment configuration from the infrastructure side
• Maintain and improve monitoring, logging, and alerting systems to ensure platform health and rapid incident response
• Participate in on-call rotation to support production environment stability.

What Sets You Up for Success:

• 5+ years of experience as a DevOps Engineer working hands-on with AWS (networking, compute, storage, queues, databases, cache, permissions).
• 5+ years of strong Kubernetes and Docker experience, including implementing and scaling EKS platforms at production scale.
• Deep expertise with Terraform for infrastructure-as-code and configuration management.
• Proven experience building and supporting CI/CD pipelines using GitHub Actions and ArgoCD.
• Strong knowledge of monitoring and observability tools such as Datadog, Prometheus, Loki, or AWS CloudWatch.
• Working knowledge of web application servers (NGINX, Ingress controllers), databases (MySQL, PostgreSQL, Aurora), caching (Redis, Memcached), and queue technologies (SQS).
• Ability to write Bash and/or Python scripts to automate operational tasks.
• Strong Linux system administration skills and solid networking fundamentals.
• Excellent written and verbal English communication skills; comfortable working asynchronously across a globally distributed remote team.

#LI-REMOTE #LI-IK1

Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for contextual personalization, predictions and behavioral insights that are used to personalize digital experiences for our customers. We are currently allowing flexibility for our employees to work from anywhere for the respective region (Central & Eastern Europe) or we are happy to meet you in our offices in Bratislava (Slovakia) or Brno, Prague (Czechia) on a full-time basis. The salary starts at €4,800 gross per month, along with restricted stock units and other benefits. 

Your Responsibilities:

• Design, develop, and enhance ML/AI models which Predictions, Contextual Personalization and our new agentic workflows
• Process historical data, product catalog and user behaviours to extract hidden relations and features.
• Conduct research to explore ongoing cutting-edge ML techniques and conduct a quick POC.
• Work closely with ML Engineers to integrate and scale ML components to a production-level that can handle terabytes of data.
• Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences.

Qualifications:

• BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python)
• At least 3 years of experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment.
• Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials.
• Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
• Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in BigQuery.
• Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies.
• Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers).
• Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure).
• Effective communication skills in English, both verbally and in written form.

#LI-KP1

Bloomreach powers digital commerce with AI-native solutions for marketing automation, search and merchandising, conversational shopping assistance, and headless content management—driven by unified customer and product data for personalization and measurable business impact. We're expanding with new ideas and modules.

For example, our Autonomous marketing solution, you can get more info about our vision here -  https://visit.bloomreach.com/innovation-fest-2025-after

Join the Engineering team working on an Autonomous marketing solution to help shape the future of autonomous marketing. As a Software Engineer, you'll build and deploy agentic AI systems with real-world impact, collaborating alongside innovators redefining how brands engage millions of customers.

If you're passionate about prompt and context engineering, driven by impact, and want to be a key part of defining the industry's future, Bloomreach wants to hear from you. This role focuses on solving real-world problems with production-ready agentic systems, not just internal experimentation.

What challenge awaits you?

Step into the forefront of autonomous marketing innovation. As a member of the Engineering team, you’ll take on the challenge of designing, developing, and scaling production-grade agentic AI systems that are redefining how brands connect with millions of customers in real time.

You will tackle the complexities of architecting and orchestrating powerful AI agents—leveraging the latest in large language models, prompt and context engineering, and agentic workflows—to drive automated, personalized engagement across diverse digital channels. Your work involves shaping the context and memory that empowers our agents to make smart, data-driven decisions at scale.

Collaboration is key: you’ll partner with fellow engineers, data scientists, and product leaders to integrate agentic intelligence into our platform, ensuring seamless alignment with customer data, analytics, and channel experiences. This is a unique opportunity to apply your technical expertise in prompt and context engineering, contribute to an ambitious product vision, and help define the future of the marketing industry through autonomous, AI-driven solutions.

What will you do?

• Design and deliver meaningful, production-grade features end-to-end, always anchored in clear user needs and measurable business value. You’ll translate high-level vision and customer requirements into actionable plans, robust code, and scalable solutions.
• Define technical specifications directly from business goals and work collaboratively with product managers, engineers, QAs, and data scientists to ensure that every build solves a concrete problem for users.
• Build and ship APIs and backend components that drive agentic workflows and seamless AI-powered automation—ensuring performance, security, and maintainability at scale.
• Integrate and operationalize state-of-the-art GenAI, LLMs, and orchestration frameworks so your agents take real business actions in production environments, not just in proofs-of-concept.
• Take full accountability for the robustness of your solutions: developing comprehensive test suites, rigorous evaluation frameworks (including agent- and system-level benchmarking), and monitoring strategies to ensure reliability and measurable outcomes. You'll evaluate both automated agentic behaviors and overall system performance to guarantee these systems perform as intended in live scenarios.
• Apply your full stack of skills—ranging from software engineering and prompt/context design to real-world LLM/GenAI operations and DevOps best practices. You’ll make agentic systems functional, maintainable, and resilient from dev environments through to production and post-launch.
• Embrace and drive an iterative, agile development process: push early integrations, prototype quickly, validate solutions with internal customers and early adopters, solve problems collaboratively as they arise, and continually refine your work based on real feedback. You will balance near-term impact with a bold, forward-thinking product vision that anticipates the needs of tomorrow’s marketers.
• Support, maintain, and evolve your components post-launch, responding to customer needs, monitoring real-world performance, and delivering ongoing improvements in response to user and business insight.
• Document your systems and learnings to enable efficient collaboration within the team and fast, informed future iteration.

What is required for success in this role?

• A holistic engineering mindset oriented toward product excellence and impact
• Hands-on expertise in building, testing, and shipping GenAI/LLM-based agentic systems
• Practical proficiency across software engineering, applied LLM development, and DevOps practices, ensuring real-world reliability—not just theoretical capability
• Comfort with fast-paced, iterative development and a user-validated, visionary approach to technology and business outcomes

What technologies and tools does the Autonomous Marketing team work with?

• Programming languages - Python/FastAPI on Backend, TypeScript/Angular on UI 
• AI-Agentic tech stack - Gemini, PydanticAI, OpenAI, Phoenix Arize
• Google Cloud Platform services - VertexAI, GKE, BigQuery
• Data Storage and Processing - PostgreSQL, MongoDB

Experience and Qualities We Seek

We're looking for engineers who exemplify a product-driven, hands-on mindset and are skilled at translating visionary ideas into reliable, scalable, and impactful AI solutions for production environments. The ideal candidate is passionate about building GenAI/LLM-based agentic systems that not only work in theory but deliver measurable impact for users and businesses.

Professional experience

• Hands-on experience designing, evaluating, and maintaining production-grade AI agentic systems—with a proven record of applying GenAI, LLMs, and agent orchestration in real-world scenarios.
• Proven proficiency in Python engineering and modern backend development—including data processing, API development, and creation of robust microservice architectures. Experience with prompt engineering and context/memory design for LLM-powered systems is highly valued.
• Operational knowledge across the full stack: solid grasp of software engineering principles, LLM/GenAI application development, cloud operations (especially in GCP environments), CI/CD, and DevOps practices. You know how to build, deploy, monitor, and scale complex agentic systems in production.
• Expertise in evaluation methodologies: you develop comprehensive test suites and system-level benchmarks, ensuring the functional and behavioral quality of autonomous agents and their integration into broader business workflows.
• Experience collaborating with product managers, data scientists, and UX/UI engineers to align technical solutions tightly with business goals and user needs—demonstrating a track record of delivering features that ship, iterate, and create value for customers.

Personal qualities

• Strong initiative, ownership, and an agile problem-solving approach: you thrive in fast-paced, iterative environments, embrace feedback from early adopters, and adapt solutions quickly.
• Excellent communication and collaboration skills, with a demonstrated ability to work cross-functionally in diverse teams and articulate complex technical concepts to non-technical partners.
• A commitment to excellence: you are dedicated to continuous learning, knowledge sharing, and raising the bar for both technology and product impact.
• Genuine excitement for pushing boundaries: you stay curious about emerging AI and agentic technologies, and are excited to help define the future of marketing through creative, high-impact engineering.

Excited? Join us and transform the future of commerce experiences.

Bloomreach powers digital commerce with AI-native solutions for marketing automation, search and merchandising, conversational shopping assistance, and headless content management—driven by unified customer and product data for personalization and measurable business impact. We're expanding with new ideas and modules.

For example, our Autonomous marketing solution, you can get more info about our vision here -  https://visit.bloomreach.com/innovation-fest-2025-after

Join the Engineering team working on an Autonomous marketing solution to help shape the future of autonomous marketing. As a Software Engineer, you'll build and deploy agentic AI systems with real-world impact, collaborating alongside innovators redefining how brands engage millions of customers.

For candidates at the P3 / Senior Software Engineer level, starting monthly compensation begins at 3700 € gross, with the final offer tailored for each candidate based on their skills and experience(, and location). Stock options and a comprehensive benefits package are also included.

If you're passionate about prompt and context engineering, driven by impact, and want to be a key part of defining the industry's future, Bloomreach wants to hear from you. This role focuses on solving real-world problems with production-ready agentic systems, not just internal experimentation.

What challenge awaits you?

Step into the forefront of autonomous marketing innovation. As a member of the Engineering team, you’ll take on the challenge of designing, developing, and scaling production-grade agentic AI systems that are redefining how brands connect with millions of customers in real time.

You will tackle the complexities of architecting and orchestrating powerful AI agents—leveraging the latest in large language models, prompt and context engineering, and agentic workflows—to drive automated, personalized engagement across diverse digital channels. Your work involves shaping the context and memory that empowers our agents to make smart, data-driven decisions at scale.

Collaboration is key: you’ll partner with fellow engineers, data scientists, and product leaders to integrate agentic intelligence into our platform, ensuring seamless alignment with customer data, analytics, and channel experiences. This is a unique opportunity to apply your technical expertise in prompt and context engineering, contribute to an ambitious product vision, and help define the future of the marketing industry through autonomous, AI-driven solutions.

What will you do?

• Design and deliver meaningful, production-grade features end-to-end, always anchored in clear user needs and measurable business value. You’ll translate high-level vision and customer requirements into actionable plans, robust code, and scalable solutions.
• Define technical specifications directly from business goals and work collaboratively with product managers, engineers, QAs, and data scientists to ensure that every build solves a concrete problem for users.
• Build and ship APIs and backend components that drive agentic workflows and seamless AI-powered automation—ensuring performance, security, and maintainability at scale.
• Integrate and operationalize state-of-the-art GenAI, LLMs, and orchestration frameworks so your agents take real business actions in production environments, not just in proofs-of-concept.
• Take full accountability for the robustness of your solutions: developing comprehensive test suites, rigorous evaluation frameworks (including agent- and system-level benchmarking), and monitoring strategies to ensure reliability and measurable outcomes. You'll evaluate both automated agentic behaviors and overall system performance to guarantee these systems perform as intended in live scenarios.
• Apply your full stack of skills—ranging from software engineering and prompt/context design to real-world LLM/GenAI operations and DevOps best practices. You’ll make agentic systems functional, maintainable, and resilient from dev environments through to production and post-launch.
• Embrace and drive an iterative, agile development process: push early integrations, prototype quickly, validate solutions with internal customers and early adopters, solve problems collaboratively as they arise, and continually refine your work based on real feedback. You will balance near-term impact with a bold, forward-thinking product vision that anticipates the needs of tomorrow’s marketers.
• Support, maintain, and evolve your components post-launch, responding to customer needs, monitoring real-world performance, and delivering ongoing improvements in response to user and business insight.
• Document your systems and learnings to enable efficient collaboration within the team and fast, informed future iteration.

What is required for success in this role?

• A holistic engineering mindset oriented toward product excellence and impact
• Hands-on expertise in building, testing, and shipping GenAI/LLM-based agentic systems
• Practical proficiency across software engineering, applied LLM development, and DevOps practices, ensuring real-world reliability—not just theoretical capability
• Comfort with fast-paced, iterative development and a user-validated, visionary approach to technology and business outcomes

What technologies and tools does the Autonomous Marketing team work with?

• Programming languages - Python/FastAPI on Backend, TypeScript/Angular on UI 
• AI-Agentic tech stack - Gemini, PydanticAI, OpenAI, Phoenix Arize
• Google Cloud Platform services - VertexAI, GKE, BigQuery
• Data Storage and Processing - PostgreSQL, MongoDB

Experience and Qualities We Seek

We're looking for engineers who exemplify a product-driven, hands-on mindset and are skilled at translating visionary ideas into reliable, scalable, and impactful AI solutions for production environments. The ideal candidate is passionate about building GenAI/LLM-based agentic systems that not only work in theory but deliver measurable impact for users and businesses.

Professional experience

• Hands-on experience designing, evaluating, and maintaining production-grade AI agentic systems—with a proven record of applying GenAI, LLMs, and agent orchestration in real-world scenarios.
• Proven proficiency in Python engineering and modern backend development—including data processing, API development, and creation of robust microservice architectures. Experience with prompt engineering and context/memory design for LLM-powered systems is highly valued.
• Operational knowledge across the full stack: solid grasp of software engineering principles, LLM/GenAI application development, cloud operations (especially in GCP environments), CI/CD, and DevOps practices. You know how to build, deploy, monitor, and scale complex agentic systems in production.
• Expertise in evaluation methodologies: you develop comprehensive test suites and system-level benchmarks, ensuring the functional and behavioral quality of autonomous agents and their integration into broader business workflows.
• Experience collaborating with product managers, data scientists, and UX/UI engineers to align technical solutions tightly with business goals and user needs—demonstrating a track record of delivering features that ship, iterate, and create value for customers.

Personal qualities

• Strong initiative, ownership, and an agile problem-solving approach: you thrive in fast-paced, iterative environments, embrace feedback from early adopters, and adapt solutions quickly.
• Excellent communication and collaboration skills, with a demonstrated ability to work cross-functionally in diverse teams and articulate complex technical concepts to non-technical partners.
• A commitment to excellence: you are dedicated to continuous learning, knowledge sharing, and raising the bar for both technology and product impact.
• Genuine excitement for pushing boundaries: you stay curious about emerging AI and agentic technologies, and are excited to help define the future of marketing through creative, high-impact engineering.

Excited? Join us and transform the future of commerce experiences.

We want you to join us full-time as a Senior Software Engineer in our Data Pipeline team. We work remotely first (from Central & Eastern Europe), but we are more than happy to meet you in our nice offices in Bratislava, Brno or Prague. And if you are interested in who will be your engineering manager, check out Vaclav's Linkedin. 

Intrigued? Read on 🙂…

Your responsibilities

• You will develop a data pipeline processing a large amount of data reliably and at a high rate using Python, Go, MongoDB, GCP and much more.
• For example, our clients feed their visitors’ behavior through real-time tracking to our platform. The data then can be analyzed and used for marketing automation. We process tens of thousands of requests per second 🚀. You may help improve the efficiency of our workers, improve monitoring or help with autoscaling of our infrastructure.
• Imports are critical for our clients to utilize our platform to the fullest. You may help us to improve the throughput and reliability of our imports as we need to import millions of rows of data or help us implement integration with another data storage.
• We also are responsible for exporting data from our platform to Google’s BigQuery using google’s DataFlows, PySpark and Apache Beam allowing data access by our clients
• You will help us run and support our services in production handling high-volume traffic using Google Cloud Platform and Kubernetes.
• You will review the code of your peers and they'll review yours. We have high code quality standards and the four-eyes principle is a must!
• You will start on easier, self-contained projects and once you feel at home, you can move to real beasts. Challenging, complex projects that will leave a mark - we have plenty of those 💪.
• Later you might help us by participating in on-call rotation keeping our services up and running 🚀.

Your qualifications

• You have experience with Python and a solid grasp of engineering practices 🔧.
• If you have an experience with Go, that's a big advantage 💪.
• You have experience with ETL pipelines, ingest on a scale, starting from various connectors to SQL and non-SQL sources, followed by data cleanup, sanitization and transformations resulting in loading cleaned-up data into optimise storages for a given use-case
• You know how to behave in a remote-first environment 
• You are able to learn and adapt. It'll be handy while exploring new tech, navigating our not-so-small code base, or when iterating on our team processes.

Our tech stack

• Python, GO
• Apache Kafka, Kubernetes, GitLab
• Google Cloud Platform, DataFlow, PySpark, Apache Beam, BigQuery, BigLake Table
• DataProc, PySpark, Flink, 
• Mongo, Redis
• … and much more 🙂

Your success story

• During the first 30 days, you will get to know the team, the company, and the most important processes. You’ll work on your first tasks. We will help you to get familiar with our codebase and our product.
• During the first 90 days, you will participate in your first, more complex projects. You will help the team to find solutions to various problems, break the solution down into smaller tasks and participate in implementation. You will learn how we identify problems, how we prioritize our efforts, and how we deliver value to our customers.
• During the first 180 days, you’ll become an integral part of the team. You will achieve the first goals we will set together to help you grow and explore new and interesting things. You will help us to deliver multi-milestone projects bringing great value to our customers. You will help us mitigate your first incidents and eventually even join the on-call rotation. You will get a sense of where the team is heading and you’ll help us to shape our future.
• Finally, you’ll find out that our values are truly lived by us 💛. We are dreamers and builders. Join us!

#LI-KP1

We want you to join us full-time as a Senior Software Engineer in our Data Pipeline team. We work remotely first (from Central & Eastern Europe), but we are more than happy to meet you in our nice offices in Bratislava, Brno or Prague. And if you are interested in who will be your engineering manager, check out Vaclav's Linkedin. Salary range starting from 3700 EUR gross per month, going up depending on your experience and skills.

Intrigued? Read on 🙂…

Your responsibilities

• You will develop a data pipeline processing a large amount of data reliably and at a high rate using Python, Go, MongoDB, GCP and much more.
• For example, our clients feed their visitors’ behavior through real-time tracking to our platform. The data then can be analyzed and used for marketing automation. We process tens of thousands of requests per second 🚀. You may help improve the efficiency of our workers, improve monitoring or help with autoscaling of our infrastructure.
• Imports are critical for our clients to utilize our platform to the fullest. You may help us to improve the throughput and reliability of our imports as we need to import millions of rows of data or help us implement integration with another data storage.
• We also are responsible for exporting data from our platform to Google’s BigQuery using google’s DataFlows, PySpark and Apache Beam allowing data access by our clients
• You will help us run and support our services in production handling high-volume traffic using Google Cloud Platform and Kubernetes.
• You will review the code of your peers and they'll review yours. We have high code quality standards and the four-eyes principle is a must!
• You will start on easier, self-contained projects and once you feel at home, you can move to real beasts. Challenging, complex projects that will leave a mark - we have plenty of those 💪.
• Later you might help us by participating in on-call rotation keeping our services up and running 🚀.

Your qualifications

• You have experience with Python and a solid grasp of engineering practices 🔧.
• If you have an experience with Go, that's a big advantage 💪.
• You have experience with ETL pipelines, ingest on a scale, starting from various connectors to SQL and non-SQL sources, followed by data cleanup, sanitization and transformations resulting in loading cleaned-up data into optimise storages for a given use-case
• You know how to behave in a remote-first environment 
• You are able to learn and adapt. It'll be handy while exploring new tech, navigating our not-so-small code base, or when iterating on our team processes.

Our tech stack

• Python, GO
• Apache Kafka, Kubernetes, GitLab
• Google Cloud Platform, DataFlow, PySpark, Apache Beam, BigQuery, BigLake Table
• DataProc, PySpark, Flink, 
• Mongo, Redis
• … and much more 🙂

Your success story

• During the first 30 days, you will get to know the team, the company, and the most important processes. You’ll work on your first tasks. We will help you to get familiar with our codebase and our product.
• During the first 90 days, you will participate in your first, more complex projects. You will help the team to find solutions to various problems, break the solution down into smaller tasks and participate in implementation. You will learn how we identify problems, how we prioritize our efforts, and how we deliver value to our customers.
• During the first 180 days, you’ll become an integral part of the team. You will achieve the first goals we will set together to help you grow and explore new and interesting things. You will help us to deliver multi-milestone projects bringing great value to our customers. You will help us mitigate your first incidents and eventually even join the on-call rotation. You will get a sense of where the team is heading and you’ll help us to shape our future.
• Finally, you’ll find out that our values are truly lived by us 💛. We are dreamers and builders. Join us!

#LI-KP1

Shape the Future of Financial Services with Capco

At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology.

Want to learn more about our culture and people? Visit us: Capco Careers Slovakia

Why Join Us?

• Prestigious Clients & Exciting Projects – Work with top-tier banks on transformation projects that redefine financial services
• Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform
• Flexible Work Environment – Work from our modern Bratislava office (Nivy Tower) or remotely from home
• Attractive Benefits Package:
  ✅ Private health care & fully paid sick leave & sick days
  ✅ 25 vacation days (regardless of age)
  ✅ Monthly cafeteria allowance (€50/month) or contribution to the 3rd pillar
  ✅ Fully paid meal vouchers
  ✅ Smartphone with 1TB data + Laptop
  ✅ Relaxing office environment: Fresh fruit, game room (PS4, table football), pet-friendly space
• Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days
• Competitive Compensation – Starting from €2,800/month (adjusted based on experience) + annual bonus & benefits package
• Long-term career – Indefinite period contract with opportunities for career growth

Your Role – Senior GenAI Engineer

• Design and implement scalable and production ready Python applications focusing on GenAI, particularly Large Language Models (LLMs) and vector searching, to enhance data processing and document search capabilities
• Employ innovative methods for document chunking and embedding to achieve optimal search performance and relevance
• Ideally develop intuitive user interfaces using Angular or React
• Ideally maintain deployment artifacts based on Docker, Terraform and GitHub actions
• Work within a cross-functional team to integrate GenAI technologies into applications, exploring new technologies and methodologies to enhance project outcomes
• Work closely with stakeholders to understand client needs and project requirements, translating them into technical specifications and innovative solutions
• Ensure adherence to best practices in coding, testing, and deployment, maintaining high standards of quality and security in all development activities

Skills and Expertise

• 5+ years experience in writing enterprise-grade scalable Python applications, with a proven track record of delivering high-quality software solutions
• 1+ year in developing and deploying client solutions supported by GenAI technologies
• Expertise in the application of large language models and vector search technologies, with the ability to apply these tools to solve complex data retrieval and analysis challenges
• Demonstrated experience in applying different architectures and methodologies to extract, chunk, and embed unstructured data for optimal search results, showcasing a deep understanding of data processing and optimization techniques for GenAI retrieval
• Demonstrated experience in applying various approaches to avoid “false positives” during retrieval process
• Proficiency in frontend development using Angular or React is considered a plus, with the ability to create engaging user interfaces that complement AI-powered applications
• Familiarity with cloud infrastructure management and deployment (Docker, Terraform, Github Actions) is considered a plus
• Familiarity with Azure infrastructure (networking resources, monitoring and observability) is considered plus
• Excellent problem-solving skills, with a creative and innovative approach to overcoming technical challenges and delivering solutions that meet client needs and project objectives
• Strong communication and collaboration abilities, capable of working effectively in a team environment and interacting with clients and stakeholders to gather requirements and provide updates on project progress

Your Hiring Journey

✅ Screening Call – Introductory chat with our recruiter
✅ Technical Interviews (1-2 rounds, depending on the project) – Discuss your skills with our experienced Capco colleagues
✅ Feedback & Offer – Receive an offer to join our team!

Why Capco? Because You Matter.

At Capco, we prioritize your career growth and well-being. You will have a personal coach to support your development and a flat hierarchy that encourages you to share and implement your ideas. Plus, our team events, sports activities, and networking opportunities help you stay connected and engaged beyond work.

Curious to learn more? Apply now – it only takes 5 minutes!

📩 Contact: Zora Paulikova – zora.paulikova@capco.com
💻 Connect on LinkedIn: Zora Paulikova | LinkedIn

Shape the Future of Financial Services with Capco

At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology.

Want to learn more about our culture and people? Visit us: Capco Careers Slovakia

Why Join Us?

• Prestigious Clients & Exciting Projects – Work with top-tier banks on transformation projects that redefine financial services
• Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform
• Flexible Work Environment – we provide flexibility to work remotely from the home office within Czech Republic
• Attractive Benefits Package:
  ✅ Private health care & fully paid sick leave & sick days
  ✅ 25 vacation days (regardless of age)
  ✅ Monthly cafeteria allowance (€50/month) or contribution to the 3rd pillar
  ✅ Fully paid meal vouchers
  ✅ Smartphone with 1TB data + Laptop
• Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days
• Competitive Compensation (adjusted based on experience) + annual bonus & benefits package
• Long-term career – Indefinite period contract with opportunities for career growth

Your Role – Senior GenAI Engineer

• Design and implement scalable and production ready Python applications focusing on GenAI, particularly Large Language Models (LLMs) and vector searching, to enhance data processing and document search capabilities
• Employ innovative methods for document chunking and embedding to achieve optimal search performance and relevance
• Ideally develop intuitive user interfaces using Angular or React
• Ideally maintain deployment artifacts based on Docker, Terraform and GitHub actions
• Work within a cross-functional team to integrate GenAI technologies into applications, exploring new technologies and methodologies to enhance project outcomes
• Work closely with stakeholders to understand client needs and project requirements, translating them into technical specifications and innovative solutions
• Ensure adherence to best practices in coding, testing, and deployment, maintaining high standards of quality and security in all development activities

Skills and Expertise

• 5+ years experience in writing enterprise-grade scalable Python applications, with a proven track record of delivering high-quality software solutions
• 1+ year in developing and deploying client solutions supported by GenAI technologies
• Expertise in the application of large language models and vector search technologies, with the ability to apply these tools to solve complex data retrieval and analysis challenges
• Demonstrated experience in applying different architectures and methodologies to extract, chunk, and embed unstructured data for optimal search results, showcasing a deep understanding of data processing and optimization techniques for GenAI retrieval
• Demonstrated experience in applying various approaches to avoid “false positives” during retrieval process
• Proficiency in frontend development using Angular or React is considered a plus, with the ability to create engaging user interfaces that complement AI-powered applications
• Familiarity with cloud infrastructure management and deployment (Docker, Terraform, Github Actions) is considered a plus
• Familiarity with Azure infrastructure (networking resources, monitoring and observability) is considered plus
• Excellent problem-solving skills, with a creative and innovative approach to overcoming technical challenges and delivering solutions that meet client needs and project objectives
• Strong communication and collaboration abilities, capable of working effectively in a team environment and interacting with clients and stakeholders to gather requirements and provide updates on project progress

Your Hiring Journey

✅ Screening Call – Introductory chat with our recruiter
✅ Technical Interviews (1-2 rounds, depending on the project) – Discuss your skills with our experienced Capco colleagues
✅ Feedback & Offer – Receive an offer to join our team!

Why Capco? Because You Matter.

At Capco, we prioritize your career growth and well-being. You will have a personal coach to support your development and a flat hierarchy that encourages you to share and implement your ideas. Plus, our team events, sports activities, and networking opportunities help you stay connected and engaged beyond work.

Curious to learn more? Apply now – it only takes 5 minutes!

📩 Contact: Zora Paulikova – zora.paulikova@capco.com
💻 Connect on LinkedIn: Zora Paulikova | LinkedIn

Shape the Future of Financial Services with Capco

At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology.

Want to learn more about our culture and people? Visit us: Capco Careers Slovakia

Why Join Us?

• Prestigious Clients & Exciting Projects – Work with top-tier banks on transformation projects that redefine financial services.
• Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform.
• Flexible Work Environment – we provide flexibility to work remotely from the home office within Czech Republic
• Attractive Benefits Package:
  ✅ Private health care & fully paid sick leave & sick days
  ✅ 25 vacation days (regardless of age)
  ✅ Monthly cafeteria allowance (€50/month) or contribution to the 3rd pillar
  ✅ Fully paid meal vouchers
  ✅ Smartphone with 1TB data + Laptop
• Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days.
• Competitive Compensation (adjusted based on experience) + annual bonus & benefits package.
• Long-term career – Indefinite period contract with opportunities for career growth.

Your Role – Senior GenAI Engineer

• Design and implement scalable and production ready Python applications focusing on GenAI, particularly Large Language Models (LLMs) and vector searching, to enhance data processing and document search capabilities.
• Employ innovative methods for document chunking and embedding to achieve optimal search performance and relevance.
• Ideally develop intuitive user interfaces using Angular or React
• Ideally maintain deployment artifacts based on Docker, Terraform and GitHub actions
• Work within a cross-functional team to integrate GenAI technologies into applications, exploring new technologies and methodologies to enhance project outcomes.
• Work closely with stakeholders to understand client needs and project requirements, translating them into technical specifications and innovative solutions
• Ensure adherence to best practices in coding, testing, and deployment, maintaining high standards of quality and security in all development activities.

Skills and Expertise

• 5+ years experience in writing enterprise-grade scalable Python applications, with a proven track record of delivering high-quality software solutions.
• 1+ year in developing and deploying client solutions supported by GenAI technologies
• Expertise in the application of large language models and vector search technologies, with the ability to apply these tools to solve complex data retrieval and analysis challenges.
• Demonstrated experience in applying different architectures and methodologies to extract, chunk, and embed unstructured data for optimal search results, showcasing a deep understanding of data processing and optimization techniques for GenAI retrieval.
• Demonstrated experience in applying various approaches to avoid “false positives” during retrieval process
• Proficiency in frontend development using Angular or React is considered a plus, with the ability to create engaging user interfaces that complement AI-powered applications.
• Familiarity with cloud infrastructure management and deployment (Docker, Terraform, Github Actions) is considered a plus
• Familiarity with Azure infrastructure (networking resources, monitoring and observability) is considered plus
• Excellent problem-solving skills, with a creative and innovative approach to overcoming technical challenges and delivering solutions that meet client needs and project objectives.
• Strong communication and collaboration abilities, capable of working effectively in a team environment and interacting with clients and stakeholders to gather requirements and provide updates on project progress.

Your Hiring Journey

✅ Screening Call – Introductory chat with our recruiter
✅ Technical Interviews (1-2 rounds, depending on the project) – Discuss your skills with our experienced Capco colleagues
✅ Feedback & Offer – Receive an offer to join our team!

Why Capco? Because You Matter.

At Capco, we prioritize your career growth and well-being. You will have a personal coach to support your development and a flat hierarchy that encourages you to share and implement your ideas. Plus, our team events, sports activities, and networking opportunities help you stay connected and engaged beyond work.

Curious to learn more? Apply now – it only takes 5 minutes!

📩 Contact: Zora Paulikova – zora.paulikova@capco.com
💻 Connect on LinkedIn: Zora Paulikova | LinkedIn

Shape the Future of Financial Services with Capco

At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology.

Want to learn more about our culture and people? Visit us: Capco Careers Slovakia

Why Join Us?

• Prestigious Clients & Exciting Projects – Work with top-tier banks on transformation projects that redefine financial services
• Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform
• Flexible Work Environment – we provide flexibility to work remotely from the home office
• Attractive Benefits Package:
  ✅ Private health care & fully paid sick leave & sick days
  ✅ 25 vacation days (regardless of age)
  ✅ Monthly cafeteria allowance (€50/month) or contribution to the 3rd pillar
  ✅ Fully paid meal vouchers
  ✅ Smartphone with 1TB data + Laptop
• Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days
• Competitive Compensation – Starting from €2,800/month (adjusted based on experience) + annual bonus & benefits package
• Long-term career – Indefinite period contract with opportunities for career growth

Your Role – Senior GenAI Engineer

• Design and implement scalable and production ready Python applications focusing on GenAI, particularly Large Language Models (LLMs) and vector searching, to enhance data processing and document search capabilities
• Employ innovative methods for document chunking and embedding to achieve optimal search performance and relevance
• Ideally develop intuitive user interfaces using Angular or React
• Ideally maintain deployment artifacts based on Docker, Terraform and GitHub actions
• Work within a cross-functional team to integrate GenAI technologies into applications, exploring new technologies and methodologies to enhance project outcomes
• Work closely with stakeholders to understand client needs and project requirements, translating them into technical specifications and innovative solutions
• Ensure adherence to best practices in coding, testing, and deployment, maintaining high standards of quality and security in all development activities

Skills and Expertise

• 5+ years experience in writing enterprise-grade scalable Python applications, with a proven track record of delivering high-quality software solutions
• 1+ year in developing and deploying client solutions supported by GenAI technologies
• Expertise in the application of large language models and vector search technologies, with the ability to apply these tools to solve complex data retrieval and analysis challenges
• Demonstrated experience in applying different architectures and methodologies to extract, chunk, and embed unstructured data for optimal search results, showcasing a deep understanding of data processing and optimization techniques for GenAI retrieval
• Demonstrated experience in applying various approaches to avoid “false positives” during retrieval process
• Proficiency in frontend development using Angular or React is considered a plus, with the ability to create engaging user interfaces that complement AI-powered applications
• Familiarity with cloud infrastructure management and deployment (Docker, Terraform, Github Actions) is considered a plus
• Familiarity with Azure infrastructure (networking resources, monitoring and observability) is considered plus
• Excellent problem-solving skills, with a creative and innovative approach to overcoming technical challenges and delivering solutions that meet client needs and project objectives
• Strong communication and collaboration abilities, capable of working effectively in a team environment and interacting with clients and stakeholders to gather requirements and provide updates on project progress

Your Hiring Journey

✅ Screening Call – Introductory chat with our recruiter
✅ Technical Interviews (1-2 rounds, depending on the project) – Discuss your skills with our experienced Capco colleagues
✅ Feedback & Offer – Receive an offer to join our team!

Why Capco? Because You Matter.

At Capco, we prioritize your career growth and well-being. You will have a personal coach to support your development and a flat hierarchy that encourages you to share and implement your ideas. Plus, our team events, sports activities, and networking opportunities help you stay connected and engaged beyond work.

Curious to learn more? Apply now – it only takes 5 minutes!

📩 Contact: Zora Paulikova – zora.paulikova@capco.com
💻 Connect on LinkedIn: Zora Paulikova | LinkedIn