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!

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).

As a Staff (techlead-level) Infrastructure Engineer, you will lead the design, implementation, and evolution of our cloud infrastructure platforms that power SentinelOne’s products at scale. You will drive complex, cross‑functional initiatives end‑to‑end, set technical direction for Kubernetes and cloud infrastructure (70+ K8s clusters, tens of thousands of nodes, multi‑region AWS (EKS) and GCP (GKE), multi‑account setup), and raise the bar for reliability, performance, and security. You will act as a go‑to expert and mentor for other engineers, helping them develop, deliver, and operate services efficiently on top of our platform.

What Will You Do?

Primary responsibilities include: 

• Own, design, build, and evolve systems and large, impactful initiatives (complex, ambiguous problems) across Kubernetes and cloud infrastructure that allow our engineers to deliver features safely, quickly, and reliably – such as the cloud infrastructure platform we’re building.
• Maintain and enhance large‑scale Kubernetes infrastructure, troubleshoot and resolve complex issues in the platform and related cloud services, including performance, scalability, and reliability, as well as H-A, observability, security, and cost-efficiency challenges.
• Ensure our Kubernetes infra and surrounding ecosystem are fully automated using IaC (Terraform, incl. writing, maintaining and improving modules & tooling) and GitOps (ArgoCD) and adhere to best practices in security and compliance. You will also define & evolve standards and patterns across teams and guide others in adopting these practices.
• Support Engineering teams as a trusted partner, helping them adopt and utilize the platform effectively (repeatable, self‑service infrastructure), and influence roadmaps with infrastructure & reliability considerations.
• Own and continuously improve key metrics around performance, throughput, reliability, and failure rates, including capacity planning and deployment strategies.
• Contribute to and sometimes lead incident response efforts, post‑incident reviews, and systemic improvements to prevent recurrence.
• As Staff Engineer, you will be expected to mentor and coach other engineers, fostering a culture of knowledge sharing, continuous learning, and high‑quality engineering practices.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Multiple years of hands-on Kubernetes administrator experience, including maintenance, configuration, and operations in large-scale production environments - such as dozens of clusters, hundreds of nodes, multi‑region, or multi‑account setups.
• Experience with managed offerings like EKS and/or GKE. KOPS and others are a plus.
• Strong experience with ingress controllers configuration and troubleshooting (like Traefik or Gloo) and production experience maintaining standard add-ons (like cert‑manager, Karpenter, Keda, Cilium, CoreDNS etc).
• Deep, practical experience with GitOps tooling and workflows, ideally ArgoCD and/or Flux; with CI/CD pipelines, ideally GitHub Actions, including designing and operating workflows for infrastructure and application delivery.
• Strong experience with Terraform or Terragrunt, including designing and maintaining reusable modules and shared infrastructure components.
• Ability to design automation and tooling to streamline day-to-day operations such as cluster lifecycle, upgrades, and policy enforcement. 
• Highly preferred: proficiency in Python or Golang, with the ability to automate operations, build small tools or services, and review code for quality and reliability.
• Strong AWS and/or GCP infrastructure knowledge across core services, networking, security, IAM, and cost optimization.
• Solid understanding of SRE principles, including SLAs, SLOs, and SLIs, and how to design systems to meet them.
• Incident response experience, including participation in on‑call rotations and leading or contributing to incident reviews.
• Experience leading technical projects from start to finish - you will take full ownership of  work, catch issues early and create solutions that help different teams and services work better together. Strong ability to handle context-switching.
• Experience mentoring and coaching engineers, driving improvements in engineering practices, and fostering a collaborative, learning‑oriented environment.
• Experience using AI tools in day-to-day engineering work and a solid understanding of FinOps practices for managing and optimizing cloud costs.

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).

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 want you to join us full-time as a Staff Backend Engineer. You will 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. For candidates at the P4 / Staff Software Engineer level, starting monthly compensation begins at 4 400 € 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.

The Pulsar team builds platform and admin services that all Bloomreach SaaS products rely on. In your first year, you’ll develop features used by thousands of customers and deliver fast, consistent, and high-energy (but low-drama) product releases. We all work remotely from the US, India, and Europe.

Examples of our services:  

• Central services to publish Model Context Protocol APIs for external AI agents
• Multi-product customer provisioning and licensing orchestration
• Integrated user management, authentication, and authorization
• High-availability, centralized configuration management
• Tools for new customer integration & product tuning

Why you’ll love your work

• Technical Variety: Cloud-native services with diverse tech stacks offer learning and experimentation.
• Impact: Our services are used by customers and teams across the company – engineers, product managers, services consultants, and even executives.
• Autonomy: Senior engineers design, build, and deploy complete projects and are experts in our services.
• Teamwork: Your teammates are also high performers and will support you with learning our systems, brainstorming & design review, and running high-reliability production deployments.

Your typical day

Your day begins with review of a teammate’s GitLab merge request. It has already been reviewed by Claude, but you’ll think deeply about the business problem, alternative solutions, and future needs. 

Then you spend a few undisturbed hours “in the flow,” working on a technical design doc for a new project. Once you’ve completed a draft, you send it to another teammate for feedback, then decide to jump on a Zoom call to talk it over and refine it.

After lunch, you join the team for a quick standup via Zoom to discuss current work and the plan for the next few days. You mention that you’re finishing up a small improvement to improve the logging and alerting for one of our components that requires high uptime. A teammate offers to review your changes. It has some complex behavior, so you walk through it together and make a few improvements.

Soon, the new unit tests are green. With a few keystrokes, you create a merge request, spin up a dev instance, and deploy your change. After some quick smoke tests, you and your teammate decide to merge the change. Your improvement will be deployed in production with the release in a few days.

Next, you respond to a Slack request for advice on integrating with the authorization API. You draft a short tech design doc that links the API spec, code examples, and optimization tips. You discuss it on the team channel, and your manager forwards it to another team that’s also starting a new service.

Your day ends with a chat with a product manager about questions that came up while drafting the tech design. With their feedback, you refine the proposal to deliver the core feature more quickly, while the product manager will work with customers and decide how much more to invest. Tomorrow, you’ll break down the tasks in Jira and decide what you’ll complete yourself and what you’ll ask teammates to complete….

Our tech stack(s)

• Languages & Frameworks: Java / Spring, Python, Go – occasionally TypeScript, Angular, React
• Data: Postgres, MySQL, MongoDB, Redis, Kafka
• Cloud: AWS & GCP (RDS, Redshift, Pub/Sub, BigTable, DataFlow, etc), Docker & Kubernetes (via EKS & GKE)
• Tools: Jira, Gitlab CI/CD, Prometheus, Grafana, OpenSearch

Our expectations

• Flexible intelligence: Stretch your technical skills in a distributed cloud environment, making changes across systems built with various tech stacks to meet challenging requirements.
• Drive: Rapidly ship product improvements that affect thousands of users in a low-drama and high-trust way. 
• Security & Reliability: Balance risks and benefits of change with discipline and agility.
• Communication: Organize technical work and maintain trust/respect across multiple teams, geographic regions, and departments.
• Knowledge Sharing: Proactively share expertise, guide less experienced team members, and document work for long-term sustainability.

The ideal candidate’s experience

• Active user of AI coding tools such as Cursor and Claude Code
• Developed backend services with Python using a variety of data systems (5+ years)
• Understands web security principles (OWASP), Authentication, and Authorization practices
• Designed APIs for a SaaS product
• Operated services in production on public cloud infrastructure
• Some experience with Java / Spring or Go
• Exposure to web frontend development (Angular / React)

#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

The Senior Staff Security Infrastructure Engineer owns current and target-state data architectures and reporting while also designing, implementing, and monitoring cloud (AWS/GCP) infrastructure security controls; deploying, securing, configuring, and operating SIEM and other security resources; identifying, triaging, and remediating infrastructure and web vulnerabilities; leading incident triage and external-researcher engagement; and mentoring junior staff.

Your salary starts from €5000 gross per month with restricted stock units and other benefits included. You can work in one of our Central Europe offices (Bratislava, Brno, Prague) or from home in Central and Eastern Europe on a full-time basis.

Role summary and core responsibilities 

6+ years of relevant experience; candidates must demonstrate proficiency in cloud security, network security, URL filtering, common security frameworks, and CVE lifecycle management; practical IaC and scripting for automation; strong cross-functional and external communication; and experience mentoring junior staff.

Technical Skills:

• Hands-on cloud security for AWS and GCP: design secure architectures, perform threat modeling, apply platform-native controls, and build/validate secure IaC.
• SIEM ownership and detection engineering: deploy, configure, tune, and maintain SIEM; author and test detection rules and playbooks; integrate data sources; and operate with SLA-driven alerting and incident workflows.
• Vulnerability and incident lifecycle ownership: identify, triage, and remediate infrastructure and web vulnerabilities 
• Drive CVE lifecycle management and patching:  perform root cause analysis and measure MTTR and remediation rates.
• Network, web, and endpoint protections: design and manage firewalls, WAFs, cloud network controls, URL/web filtering, with demonstrable operational experience.
• Secure automation and tooling: author automation for detection, alert enrichment, and remediation; build or extend security tooling using scripting or languages such as Python, Go, or Bash.
• Infrastructure as code and secure CI pipelines: implement guardrails and policy-as-code in CI/CD pipelines, perform static IaC scanning, and enforce security baselines before deployment.
• Detection, telemetry, and observability: define logging and telemetry requirements, ensure coverage for critical assets, and validate detection efficacy and alert fidelity.
• Security standards, playbooks, and enforcement: develop, document, and operationalize organization-wide security standards, runbooks, and playbooks; partner with engineering pillars to ensure adoption.
• Threat-informed defensive engineering: apply threat modeling and adversary-focused testing to guide controls, detection, and resilient designs.
• Cross-functional and external communication: communicate clearly with engineering teams, leadership, external researchers, and customers; lead vulnerability disclosure and researcher engagement.
• Mentorship and prioritization: mentor junior engineers, prioritize security projects based on risk and business impact, and drive continuous improvement of infrastructure security posture.
• Familiarity with frameworks and common weaknesses: working knowledge of CIS/NIST, common security libraries and controls, and typical flaws exploited in infrastructure and web applications.

Skills and qualifications:

• AWS Certified Security 
• Google Professional Cloud Security Engineer
• Splunk Certified Admin or Splunk Certified Enterprise Security Admin
• CISSP (Certified Information Systems Security Professional)
• Certified Cloud Security Professional (CCSP)
• Cloud Security Alliance CCSK

#LI-HO1

The Senior Staff Security Infrastructure Engineer owns current and target-state data architectures and reporting while also designing, implementing, and monitoring cloud (AWS/GCP) infrastructure security controls; deploying, securing, configuring, and operating SIEM and other security resources; identifying, triaging, and remediating infrastructure and web vulnerabilities; leading incident triage and external-researcher engagement; and mentoring junior staff.

You can work in one of our Central Europe offices (Bratislava, Brno, Prague) or from home in Central and Eastern Europe on a full-time basis.

Role summary and core responsibilities 

6+ years of relevant experience; candidates must demonstrate proficiency in cloud security, network security, URL filtering, common security frameworks, and CVE lifecycle management; practical IaC and scripting for automation; strong cross-functional and external communication; and experience mentoring junior staff.

Technical Skills:

• Hands-on cloud security for AWS and GCP: design secure architectures, perform threat modeling, apply platform-native controls, and build/validate secure IaC.
• SIEM ownership and detection engineering: deploy, configure, tune, and maintain SIEM; author and test detection rules and playbooks; integrate data sources; and operate with SLA-driven alerting and incident workflows.
• Vulnerability and incident lifecycle ownership: identify, triage, and remediate infrastructure and web vulnerabilities 
• Drive CVE lifecycle management and patching:  perform root cause analysis and measure MTTR and remediation rates.
• Network, web, and endpoint protections: design and manage firewalls, WAFs, cloud network controls, URL/web filtering, with demonstrable operational experience.
• Secure automation and tooling: author automation for detection, alert enrichment, and remediation; build or extend security tooling using scripting or languages such as Python, Go, or Bash.
• Infrastructure as code and secure CI pipelines: implement guardrails and policy-as-code in CI/CD pipelines, perform static IaC scanning, and enforce security baselines before deployment.
• Detection, telemetry, and observability: define logging and telemetry requirements, ensure coverage for critical assets, and validate detection efficacy and alert fidelity.
• Security standards, playbooks, and enforcement: develop, document, and operationalize organization-wide security standards, runbooks, and playbooks; partner with engineering pillars to ensure adoption.
• Threat-informed defensive engineering: apply threat modeling and adversary-focused testing to guide controls, detection, and resilient designs.
• Cross-functional and external communication: communicate clearly with engineering teams, leadership, external researchers, and customers; lead vulnerability disclosure and researcher engagement.
• Mentorship and prioritization: mentor junior engineers, prioritize security projects based on risk and business impact, and drive continuous improvement of infrastructure security posture.
• Familiarity with frameworks and common weaknesses: working knowledge of CIS/NIST, common security libraries and controls, and typical flaws exploited in infrastructure and web applications.

Skills and qualifications:

• AWS Certified Security 
• Google Professional Cloud Security Engineer
• Splunk Certified Admin or Splunk Certified Enterprise Security Admin
• CISSP (Certified Information Systems Security Professional)
• Certified Cloud Security Professional (CCSP)
• Cloud Security Alliance CCSK

#LI-HO1

The Role

Telnyx infrastructure team is building a next-generation platform that spans across multiple cloud providers and multiple continents. We leverage the Telnyx private backbone network with cross-connects to major cloud providers like AWS, Azure, GCP, and IBM Cloud to build a cloud-agnostic, highly available platform. With our lean team, we're currently running infrastructure in 10 PoPs and 3 continents.

In This Role You Will

• Design, develop, and deploy scalable solutions for managing databases like PostgreSQL, MySQL, Cassandra, Kafka, RabbitMQ, Redis, and others, both in virtualized environments and Kubernetes clusters.
• Collaborate with engineering to identify and resolve pain points in managing large-scale, high-availability database infrastructure.
• Lead the migration of existing database services from VMs to Kubernetes, ensuring minimal downtime and seamless transitions.
• Support disaster recovery, backup strategies, and performance tuning for on-premise database systems.
• Implement and manage observability, logging, and alerting systems. 

Must-Have Experience:

• 3+ years of professional experience in infrastructure operations, especially in Linux-based systems.
• Expertise in at least one deployment and orchestration technology (Kubernetes, Ansible, or Terraform), with a focus on deploying and managing stateful applications
• Skills in scripting languages such as Bash, Python, or similar, to automate workflows and manage infrastructure.
• Hands-on experience managing at least one relational databases like PostgreSQL or MySQL

You’d Be A Good Fit If You Have

• Experience with non-relational databases such as Cassandra, OpenSearch, or other distributed data stores.
• Familiarity with streaming and messaging platforms like Kafka or RabbitMQ, including scaling and monitoring in a distributed setup.
• Proficiency in observability tools like Prometheus, Grafana, ELK stack, or others to ensure system performance and reliability.

Bonus Points For:

• Knowledge of service discovery tools like Consul, or similar technologies, would be a great advantage

Growth Opportunities: 

• Act as a strength multiplier to product engineering efforts. 
• Learn about every technology stack used at Telnyx. 
• Work at the intersection of the social and the technical, with growth opportunities in both.

#LI-KG1

#LI-REMOTE

The Staff Security Engineer owns current and target-state data architectures and reporting while also designing, implementing, and monitoring cloud (AWS/GCP) infrastructure security controls; deploying, securing, configuring, and operating SIEM and other security resources; identifying, triaging, and remediating infrastructure and web vulnerabilities; leading incident triage and external-researcher engagement; and mentoring junior staff. 

Your salary starts from €4000 gross per month with restricted stock units and other benefits included. You can work in one of our Central Europe offices (Bratislava, Brno, Prague) or from home in Central and Eastern Europe on a full-time basis.

Role summary and core responsibilities 

6+ years of relevant experience; candidates must demonstrate proficiency in cloud security, network security, URL filtering, common security frameworks, and CVE lifecycle management; practical IaC and scripting for automation; strong cross-functional and external communication; and experience mentoring junior staff.

Technical Skills:

• Hands-on cloud security for AWS and GCP: design secure architectures, perform threat modeling, apply platform-native controls, and build/validate secure IaC.
• SIEM ownership and detection engineering: deploy, configure, tune, and maintain SIEM; author and test detection rules and playbooks; integrate data sources; and operate with SLA-driven alerting and incident workflows.
• Vulnerability and incident lifecycle ownership: identify, triage, and remediate infrastructure and web vulnerabilities 
• Drive CVE lifecycle management and patching:  perform root cause analysis and measure MTTR and remediation rates.
• Network, web, and endpoint protections: design and manage firewalls, WAFs, cloud network controls, URL/web filtering, with demonstrable operational experience.
• Secure automation and tooling: author automation for detection, alert enrichment, and remediation; build or extend security tooling using scripting or languages such as Python, Go, or Bash.
• Infrastructure as code and secure CI pipelines: implement guardrails and policy-as-code in CI/CD pipelines, perform static IaC scanning, and enforce security baselines before deployment.
• Detection, telemetry, and observability: define logging and telemetry requirements, ensure coverage for critical assets, and validate detection efficacy and alert fidelity.
• Security standards, playbooks, and enforcement: develop, document, and operationalize organization-wide security standards, runbooks, and playbooks; partner with engineering pillars to ensure adoption.
• Threat-informed defensive engineering: apply threat modeling and adversary-focused testing to guide controls, detection, and resilient designs.
• Cross-functional and external communication: communicate clearly with engineering teams, leadership, external researchers, and customers; lead vulnerability disclosure and researcher engagement.
• Mentorship and prioritization: mentor junior engineers, prioritize security projects based on risk and business impact, and drive continuous improvement of infrastructure security posture.
• Familiarity with frameworks and common weaknesses: working knowledge of CIS/NIST, common security libraries and controls, and typical flaws exploited in infrastructure and web applications.

Skills and qualifications:

• AWS Certified Security 
• Google Professional Cloud Security Engineer
• Splunk Certified Admin or Splunk Certified Enterprise Security Admin
• CISSP (Certified Information Systems Security Professional)
• Certified Cloud Security Professional (CCSP)
• Cloud Security Alliance CCSK

The Staff Security Engineer owns current and target-state data architectures and reporting while also designing, implementing, and monitoring cloud (AWS/GCP) infrastructure security controls; deploying, securing, configuring, and operating SIEM and other security resources; identifying, triaging, and remediating infrastructure and web vulnerabilities; leading incident triage and external-researcher engagement; and mentoring junior staff. 

You can work in one of our Central Europe offices (Bratislava, Brno, Prague) or from home in Central and Eastern Europe on a full-time basis.

Role summary and core responsibilities 

6+ years of relevant experience; candidates must demonstrate proficiency in cloud security, network security, URL filtering, common security frameworks, and CVE lifecycle management; practical IaC and scripting for automation; strong cross-functional and external communication; and experience mentoring junior staff.

Technical Skills:

• Hands-on cloud security for AWS and GCP: design secure architectures, perform threat modeling, apply platform-native controls, and build/validate secure IaC.
• SIEM ownership and detection engineering: deploy, configure, tune, and maintain SIEM; author and test detection rules and playbooks; integrate data sources; and operate with SLA-driven alerting and incident workflows.
• Vulnerability and incident lifecycle ownership: identify, triage, and remediate infrastructure and web vulnerabilities 
• Drive CVE lifecycle management and patching:  perform root cause analysis and measure MTTR and remediation rates.
• Network, web, and endpoint protections: design and manage firewalls, WAFs, cloud network controls, URL/web filtering, with demonstrable operational experience.
• Secure automation and tooling: author automation for detection, alert enrichment, and remediation; build or extend security tooling using scripting or languages such as Python, Go, or Bash.
• Infrastructure as code and secure CI pipelines: implement guardrails and policy-as-code in CI/CD pipelines, perform static IaC scanning, and enforce security baselines before deployment.
• Detection, telemetry, and observability: define logging and telemetry requirements, ensure coverage for critical assets, and validate detection efficacy and alert fidelity.
• Security standards, playbooks, and enforcement: develop, document, and operationalize organization-wide security standards, runbooks, and playbooks; partner with engineering pillars to ensure adoption.
• Threat-informed defensive engineering: apply threat modeling and adversary-focused testing to guide controls, detection, and resilient designs.
• Cross-functional and external communication: communicate clearly with engineering teams, leadership, external researchers, and customers; lead vulnerability disclosure and researcher engagement.
• Mentorship and prioritization: mentor junior engineers, prioritize security projects based on risk and business impact, and drive continuous improvement of infrastructure security posture.
• Familiarity with frameworks and common weaknesses: working knowledge of CIS/NIST, common security libraries and controls, and typical flaws exploited in infrastructure and web applications.

Skills and qualifications:

• AWS Certified Security 
• Google Professional Cloud Security Engineer
• Splunk Certified Admin or Splunk Certified Enterprise Security Admin
• CISSP (Certified Information Systems Security Professional)
• Certified Cloud Security Professional (CCSP)
• Cloud Security Alliance CCSK

#LI-HO1

We want you to join us full-time as a Software Backend Engineer (medior level). You will 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. For candidates at the P2 / Software Engineer II level, starting monthly compensation begins at 2 900 € 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.

The Pulsar team builds platform and admin services that all Bloomreach SaaS products rely on. In your first year, you’ll develop features used by thousands of customers and deliver fast, consistent, and high-energy (but low-drama) product releases. We all work remotely from the US, India, and Europe.

Examples of our services:  

• Central services to publish Model Context Protocol APIs for external AI agents
• Multi-product customer provisioning and licensing orchestration
• Integrated user management, authentication, and authorization
• High-availability, centralized configuration management
• Tools for new customer integration & product tuning

Why you’ll love your work

• Technical Variety: Cloud-native services with diverse tech stacks offer learning and experimentation.
• Impact: Our services are used by customers and teams across the company – engineers, product managers, services consultants, and even executives.
• Autonomy: Senior engineers design, build, and deploy complete projects and are experts in our services.
• Teamwork: Your teammates are also high performers and will support you with learning our systems, brainstorming & design review, and running high-reliability production deployments.

Your typical day

Your day begins with review of a US teammate’s GitLab merge request. It has already been reviewed by Claude, but you’ll think deeply about the business problem, alternative solutions, and future needs. Then you spend a few undisturbed hours “in the flow,” working on changes to the user management APIs to support a UX improvement that a designer suggested yesterday. Soon, all your new unit tests are green. With a few keystrokes, you create a merge request, spin up a dev instance, and deploy your change. After some quick smoke tests, you send a link to a frontend engineer who is collaborating with our team.

After lunch, you join your team for a quick standup via Zoom to discuss current work and the plan for the next few days. A teammate offers to review your new code. It has some complex behavior, so you walk through it together and make a few improvements.

The frontend engineer confirms over Slack that your API changes provide what they need. You merge it, which automatically retests and deploys to a staging environment. The UI changes and a few more integration tests from the QA team will be merged in a day or two. Your improvement will be in production in a few weeks.

Next, you respond to a Slack request for advice on integrating with the authorization API. You draft a short tech design doc that links the API spec, code examples, and optimization tips. You discuss it on the team channel, and your manager forwards it to another team that’s also starting a new service.

Your day ends with a quick chat with a product manager about another idea….

Our tech stack(s)

• Languages & Frameworks: Java / Spring, Python, Go – occasionally TypeScript, Angular, React
• Data: Postgres, MySQL, MongoDB, Redis, Kafka
• Cloud: AWS & GCP (RDS, Redshift, Pub/Sub, BigTable, DataFlow, etc), Docker & Kubernetes (via EKS & GKE)
• Tools: Jira, Gitlab CI/CD, Prometheus, Grafana, OpenSearch

Our expectations

• Flexible intelligence: Stretch your technical skills in a distributed cloud environment, making changes across systems built with various tech stacks to meet challenging requirements.
• Drive: Rapidly ship product improvements that affect thousands of users in a low-drama and high-trust way. 
• Security & Reliability: Balance risks and benefits of change with discipline and agility.
• Communication: Organize technical work and maintain trust/respect across multiple teams, geographic regions, and departments.
• Knowledge Sharing: Proactively share expertise, guide less experienced team members, and document work for long-term sustainability.

The ideal candidate’s experience

• Active user of AI coding tools such as Cursor and Claude Code
• Developed backend services with Python using a variety of data systems (3+ years)
• Understands web security principles (OWASP), Authentication, and Authorization practices
• Designed APIs for a SaaS product
• Operated services in production on public cloud infrastructure
• Some experience with Java / Spring or Go
• Exposure to web frontend development (Angular / React)

#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 €2,200/month (adjusted based on experience) + annual bonus & benefits package.
• Long-term career – Indefinite period contract with opportunities for career growth.

Your Role – Data Engineer

• We’re growing our team to support banking clients with cutting-edge data-driven transformation projects. As a Data Engineer, you will:
• Collaborate in agile teams to develop data solutions for some of the largest global banks.
• Modernize and optimize data management processes.
• Design and implement state-of-the-art data architectures.
• Take ownership of topics and gradually lead sub-projects or small project teams.

Skills and Expertise

• University degree in a relevant field
• Fluent English (German is a plus)
• 3+ years of experience with SQL
• Proficiency in Python
• Cloud technologies expertise – Google Cloud, Azure, or AWS
• Big Data & Enterprise-scale Data Platforms experience
• Consulting or banking background (a plus)
• Knowledge of Actimize SAM Data Structure or AML (is a big advantage)

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 €2,200/month (adjusted based on experience) + annual bonus & benefits package.
• Long-term career – Indefinite period contract with opportunities for career growth.

Your Role – Data Engineer

• We’re growing our team to support banking clients with cutting-edge data-driven transformation projects. As a Data Engineer, you will:
• Collaborate in agile teams to develop data solutions for some of the largest global banks.
• Modernize and optimize data management processes.
• Design and implement state-of-the-art data architectures.
• Take ownership of topics and gradually lead sub-projects or small project teams.

Skills and Expertise

• University degree in a relevant field
• Fluent English (German is a plus)
• 3+ years of experience with SQL
• Proficiency in Python
• Cloud technologies expertise – Google Cloud, Azure, or AWS
• Big Data & Enterprise-scale Data Platforms experience
• Consulting or banking background (a plus)
• Knowledge of Actimize SAM Data Structure or AML  (is a big advantage)

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 – Data Engineer

• We’re growing our team to support banking clients with cutting-edge data-driven transformation projects. As a Data Engineer, you will:
• Collaborate in agile teams to develop data solutions for some of the largest global banks.
• Modernize and optimize data management processes.
• Design and implement state-of-the-art data architectures.
• Take ownership of topics and gradually lead sub-projects or small project teams.

Skills and Expertise

• University degree in a relevant field
• Fluent English (German is a plus)
• 3+ years of experience with SQL
• Proficiency in Python
• Cloud technologies expertise – Google Cloud, Azure, or AWS
• Big Data & Enterprise-scale Data Platforms experience
• Consulting or banking background (a plus)
• Knowledge of Actimize SAM Data Structure or AML (is a big advantage)

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 – Data Engineer

• We’re growing our team to support banking clients with cutting-edge data-driven transformation projects. As a Data Engineer, you will:
• Collaborate in agile teams to develop data solutions for some of the largest global banks.
• Modernize and optimize data management processes.
• Design and implement state-of-the-art data architectures.
• Take ownership of topics and gradually lead sub-projects or small project teams.

Skills and Expertise

• University degree in a relevant field
• Fluent English (German is a plus)
• 3+ years of experience with SQL
• Proficiency in Python
• Cloud technologies expertise – Google Cloud, Azure, or AWS
• Big Data & Enterprise-scale Data Platforms experience
• Consulting or banking background (a plus)
• Knowledge of Actimize SAM Data Structure or AML (is a big advantage)

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