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.

Responsibilities:

• 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 

Requirements:

• 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

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 Senior Software Engineer, you will own end-to-end development of new agent capabilities, from researching Linux and cloud security technologies to designing detection strategies and delivering them at scale. You’ll work across kernel-level components, user-space engines, and cloud-native security features, tackling complex system engineering challenges.

Your work will enhance the security of Linux and cloud workloads used by hundreds of thousands of users globally. We’re looking for engineers with Linux and/or cloud security experience who can innovate from scratch and drive scalable capabilities across our products.

What Will You Do?

• Software Development (70-80% of time) - we use C++23, occasionally also Rust and/or Go
• Write tests to cover new code
• Conduct low-level research and design new features
• Peer code reviews; Participate in the team’s design reviews
• Learn new technologies in the Linux and Cloud workloads security domains (e.g. eBPF)
• Architect end-to-end security solutions for complex features with loose problem definition
• Support customers with issues and requests within the team’s domain
• Attend daily and weekly scrum meetings

What Skills and Knowledge Will You Bring?

• Multiple years of experience as a software engineer, developing complex systems in modern C++
• Proficient in Linux OS architecture and internals
• Hands-on experience with Linux low-level development and debugging
• Previous experience working on a production-grade product with a wide-scale deployment

It’d be great if you have experience with / or you’d learn & gain on our team:

• Hands-on experience with Linux kernel development or kernel tracing
• Previous experience with eBPF, Linux networking subsystem, security-oriented development
• Hands-on experience with container platforms and orchestrators such as Docker and Kubernetes
• Previous experience with software development in either Rust and/or Go (we have several components in both) or Python

Why Us?

Join a cutting-edge company where you'll take on extraordinary challenges alongside top industry talent. 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.

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.

Competitive Benefits Package:

• 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, and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and in-office refreshments.
• 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 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).

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!

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

Become a Senior SRE for Bloomreach!

Join the newly form Datacraft team — the team building the next-generation data platform for Bloomreach Engagement. Datacraft owns three interconnected domains:

• Data Warehouses (~60%) — making Bloomreach data first-class in customer DWHs (Snowflake, BigQuery, Databricks). The strategic goal for 2026–27 is to use DWHs to exponentially accelerate data adoption.
• Loomi Analytics Agent (~20%) — evolving Loomi Analytics into an agentic analytics assistant that can explore data across systems, explain insights, and act on them.
• Dashboards & Analytics Stack (~20%) — moving Engagement reporting onto DWH-backed, modern analytics stacks (semantic layers, headless BI tools).

As a Senior SRE, you will be the reliability backbone of this AI-first data team. Your work will directly impact the deployments, pipelines, reliability, and observability of pipelines and services that hundreds of enterprise customers depend on — from data exports into Databricks and BigQuery, to the  AI agent Loomi uses to surface insights.

Datacraft is an AI-first team. We believe code is a commodity and expect every engineer to fluently use coding agents (e.g., Cursor, Claude Code, Copilot, Gemini CLI) as a core part of their daily workflow. The ability to leverage AI tooling to accelerate development, prototyping, and problem-solving is not optional — it's foundational. 

For candidates at the P3 / Senior SRE level, starting monthly compensation begins at 3 800 € 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 (Bratislava, Praha, Brno) or from home on a full-time basis, you'll become a core part of the Engineering team.

What challenge awaits you?

As a P3 (Senior) SRE at Bloomreach, you are an independent professional — expert in reliability engineering, able to decompose objectives into actionable infrastructure improvements, and lead initiatives end-to-end with minimal day-to-day guidance.

We need you to build and operate an ecosystem where data engineers can safely and efficiently develop, debug, and operate data-intensive jobs and services — spanning Kafka ingest pipelines, Iceberg data lakes, multi-DWH exports, Databricks deployment and orchestration (Airflow / Cloud Composer), and agentic AI workloads.

Your responsibilities

a. Platform reliability & observability

• Build and maintain the reliability ecosystem where engineers can safely develop, debug, and operate DataCraft services running on GCP and Kubernetes (DataProc, Cloud Composer, BigQuery, Snowflake/Databricks connectors).
• Ensure end-to-end observability across the full data platform — from Kafka ingest through GCS/Iceberg staging, Airflow orchestration, to Databricks and BigQuery destinations — enabling the team to catch missing loads, SLA breaches, and data drifts before customers notice, or costs drift.
• Drive scalability so services can scale vertically and horizontally based on operational and telemetric data (OpenTelemetry, Prometheus, Victoria Metrics).
• Maintain team health dashboards and alerting (Grafana, PagerDuty, Sentry).

b. Infrastructure as Code & deployments

• Own and evolve Terraform-based infrastructure for DataCraft services.
• Automate deployments, instance setup, and operational runbooks to eliminate manual/semi-manual steps.
• Maintain CI/CD pipelines (GitLab) with linters, security scans, and code quality checks, AI code reviews, enabling engineers to produce high-quality MRs.

c. Security & compliance

• Help the team fulfill security requirements for ISO and SOC2 audits by enforcing security principles: key distribution, key rotation, authorization & authentication at the service level, data encryption in transit, data isolation, resource limitations, and audit logs.
• Ensure data access controls are properly enforced across multi-DWH environments (BigQuery, Snowflake, Databricks).

d. Incident management & L3 support

• Participate in and drive L3 on-call rotation and incident resolution for DataCraft services.
• Contribute tooling for debugging, troubleshooting, and performance testing of data pipelines and orchestration layers.
• Use telemetry data and distributed tracing to navigate complex, distributed service architectures.

e. Agentic platform reliability

• Ensure reliability and observability of the Loomi Analytics Agent data infrastructure — LLM API gateway performance, MCP server health, and evaluation pipeline availability.
• Monitor and alert on data quality issues that could introduce inconsistencies or hallucinations in Loomi's responses — making the agent's data access patterns reliable and debuggable.

Our tech stack

Languages: Python (primary), Go, SQL Messaging & streaming: Apache Kafka Storage & databases: Databricks, BigQuery, Apache Iceberg, GCS, Mongo, Redis Data processing & orchestration: Apache Spark, DataFlow, Airflow / Cloud Composer Infrastructure: GCP, Kubernetes, Terraform AI / Agentic: LLM APIs, MCP, agent orchestration frameworks Observability: Grafana, Prometheus, Victoria Metrics, PagerDuty, Sentry, OpenTelemetry CI/CD & tooling: GitLab, Jira, Confluence AI coding agents: Cursor, Claude Code

Your qualifications

Professional experience

Impact

• You can articulate how your contributions transformed the way engineers work and fostered a strong SRE/DevOps culture.
• You can demonstrate how impactful reliability work connects to business success and customer outcomes.

Ownership

• You embrace the you build it, you run it principle — you love owning what you ship.
• You are cost-aware: effective vertical and horizontal autoscaling and detailed telemetry insights are how you demonstrate mindfulness of cloud spend.

Systematic approach

• Infrastructure as Code is the only thing that brings stability into chaos
• You design for failure: SLOs, error budgets, and runbooks are first-class artifacts, not afterthoughts.

Data-driven

• You use telemetry and metrics to give engineers actionable feedback on how applications and services behave.
• You can navigate complex data platform architectures using distributed tracing and debugging.

Technical skills

• Solid hands-on experience with GCP (BigQuery, DataProc, Cloud Composer, GCS) and Kubernetes.
• Experience with Python; Go is a strong advantage.
• Familiarity with data pipeline technologies (Kafka, Airflow/Cloud Composer, Spark, Iceberg) — you don't need to write ETL code, but you need to operate it reliably and know when something is wrong.
• Fluent use of AI coding agents (Cursor, Claude Code, Copilot, Gemini CLI, or similar) — you already use these tools daily to accelerate work.
• Comfortable with on-call rotation and 24/7 incident response.
• Remote-first mindset — you know how to be effective in distributed teams.
• You are able to learn and adapt — essential when exploring new tech or navigating our growing codebase.

Strongly preferred

• Experience operating single-DWH environments (Snowflak, Databricks or BigQuery).
• Familiarity with agentic/LLM workloads — API reliability, latency SLOs, trace observability for AI systems.
• Experience with open table formats (Iceberg, Delta Lake) in production environments.
• Exposure to data security and compliance in the context of customer-facing DWH integrations (consent, data retention, PII handling).

Personal qualities

• Ownership & accountability — you take issues from detection through to resolution and follow-up prevention.
• Systematic thinking — you identify root causes, not symptoms, and document your findings so the team learns.
• Collaboration & communication — you explain trade-offs and constraints clearly to both engineers and non-engineers.
• Bias for reliability — operational excellence (SLOs, oncall friendliness, proactive alerting) is not a chore, it's your craft.
• Continuous improvement mindset — you are comfortable iterating, revisiting assumptions, and improving incrementally.
• Comfortable operating remote-first in a distributed team across Central Europe.

Your success story

In 30 days:

• Get to know the DataCraft team, the company, and the most important processes.
• Set up your local and GCP development environment and complete the Engagement engineering onboarding.
• Understand the current state of DataCraft services: pipelines, orchestration, observability gaps, and on-call runbooks.

In 90 days:

• Start contributing to the L3 on-call rotation, handling incidents, troubleshooting, and debugging — which will sharpen your understanding of the platform and surface fresh improvement ideas.
• Deliver your first meaningful reliability improvement: an observability enhancement, a deployment automation, or an SLO definition for a key DataCraft service.

In 180 days:

• Own the reliability posture of at least one DataCraft domain end-to-end — able to independently design, operate, and continuously improve it.
• Drive measurable improvements in MTTR, alert signal-to-noise ratio, or deployment confidence across the team.
• Be a trusted reliability partner in architecture discussions — your input shapes how new DataCraft services are designed for operability from day one.

#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. 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

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

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

The Data Pipeline team is a backend-focused engineering team that is built on strong DevOps principles. We believe in autonomy, and we trust data. As the team grows we need to support it by onboarding another DevOps/SRE to pair with our existing one to form an effective duo helping the team to accelerate. We work remotely first, but we are more than happy to meet you in our nice office 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

• Your task is to build and maintain an ecosystem where engineers can safely and efficiently develop, debug and operate their services running in GCP, Kubernetes using DataFlow, DataProc and Python with Go
• You make sure the services have high level of observability, enabling us to provide quality service for our customers
• Further services can scale vertically and horizontally based on current load, operational and telemetric data (OTEL, Prometheus, Victoria Metrics) 
• Team have enough insights about health of our services (Grafana, Alerting, PageDuty)
• You helps the team to fulfill security requirements given ISO and SOC2 audits, by enforce security principles like key distribution, key rotation, authorisation & authentication on service level, data encryption at transit, data isolation, resource limitations, quality of service, audit logs (mainly by Enovy proxies)
• You contribute to our tooling, so we have tools in place for debugging, troubleshoot and performance testing
• You automate manual/semi-manual steps deployment and instance setup
• You have hands on on L3 support and incident resolutions
• CI pipelines have linters, security scans, code smell detection enabling engineers to produce quality MRs

Your qualifications

Impact: 

• You can articulate how your contributions have transformed the way engineers work and think by fostering a strong DevOps/SRE culture.
• You can demonstrate how impactful your work as an SRE or DevOps Engineer can be in connection to business success

Ownership: 

• You understand the importance of you build - you run it principle and you love the feeling you own it
• You are mindful of the costs associated with running our service, which translates into effective vertical and horizontal pod autoscaling and detailed telemetry insights.

Systematic approach: 

• You believe the infrastructure as a code is the only thing that can bring stability into chaos 
• Terraform is your daily bread, and HELM deployments are your second-best friend

Data-driven:

• You use telemetry data and metrics to provide feedback to engineers on how the application and services behave
• You can navigate yourself in complex service architecture by using distributed debugging

Technical skills: 

• You have experience with Python and a solid grasp of engineering practices
• A big advantage is, if you have an experience with Go, or with ETL pipelines

You don’t hesitate to participate in OnCall rotation 24/7 support

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, BigQuery, BigLake Table
• Open formats IceBerg, Avro, Parquet
• DataFlow, Apache Beam, DataProc, Spark, 
• 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 start contributing to team’s L3 rotation, troubleshooting, debugging that should let you better understand what is what and perhaps also to come with fresh ideas on how to improve our services and monitoring.
• During the first 180 days, you’ll become an integral part of the team by actively contributing to the team's projects as well as to onCall rotation. 

Finally, you’ll find out that our values are truly lived by us 💛. We are dreamers and builders. Join us!

#LI-KP1

The Data Pipeline team is a backend-focused engineering team that is built on strong DevOps principles. We believe in autonomy, and we trust data. As the team grows we need to support it by onboarding another DevOps/SRE to pair with our existing one to form an effective duo helping the team to accelerate. We work remotely first, but we are more than happy to meet you in our nice office in Bratislava, Brno or Prague. Salary range starting from 4 200 EUR gross per month, going up depending on your experience and skills. And if you are interested in who will be your engineering manager, check out Vaclav's Linkedin.

Intrigued? Read on 🙂…

Your responsibilities

• Your task is to build and maintain an ecosystem where engineers can safely and efficiently develop, debug and operate their services running in GCP, Kubernetes using DataFlow, DataProc and Python with Go
• You make sure the services have high level of observability, enabling us to provide quality service for our customers
• Further services can scale vertically and horizontally based on current load, operational and telemetric data (OTEL, Prometheus, Victoria Metrics) 
• Team have enough insights about health of our services (Grafana, Alerting, PageDuty)
• You helps the team to fulfill security requirements given ISO and SOC2 audits, by enforce security principles like key distribution, key rotation, authorisation & authentication on service level, data encryption at transit, data isolation, resource limitations, quality of service, audit logs (mainly by Enovy proxies)
• You contribute to our tooling, so we have tools in place for debugging, troubleshoot and performance testing
• You automate manual/semi-manual steps deployment and instance setup
• You have hands on on L3 support and incident resolutions
• CI pipelines have linters, security scans, code smell detection enabling engineers to produce quality MRs

Your qualifications

Impact: 

• You can articulate how your contributions have transformed the way engineers work and think by fostering a strong DevOps/SRE culture.
• You can demonstrate how impactful your work as an SRE or DevOps Engineer can be in connection to business success

Ownership: 

• You understand the importance of you build - you run it principle and you love the feeling you own it
• You are mindful of the costs associated with running our service, which translates into effective vertical and horizontal pod autoscaling and detailed telemetry insights.

Systematic approach: 

• You believe the infrastructure as a code is the only thing that can bring stability into chaos 
• Terraform is your daily bread, and HELM deployments are your second-best friend

Data-driven:

• You use telemetry data and metrics to provide feedback to engineers on how the application and services behave
• You can navigate yourself in complex service architecture by using distributed debugging

Technical skills: 

• You have experience with Python and a solid grasp of engineering practices
• A big advantage is, if you have an experience with Go, or with ETL pipelines

You don’t hesitate to participate in OnCall rotation 24/7 support

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, BigQuery, BigLake Table
• Open formats IceBerg, Avro, Parquet
• DataFlow, Apache Beam, DataProc, Spark, 
• 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 start contributing to team’s L3 rotation, troubleshooting, debugging that should let you better understand what is what and perhaps also to come with fresh ideas on how to improve our services and monitoring.
• During the first 180 days, you’ll become an integral part of the team by actively contributing to the team's projects as well as to onCall rotation. 

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. 

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

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.

About the role

Databases are notoriously hard to optimize—with 350+ configuration parameters in PostgreSQL alone, even experienced engineers struggle to find the right settings. Have you ever dreamed about a database that continuously self-optimizes itself in the background, so you can focus on what really matters: building great products?

Sometimes your queries slow down and it's not immediately clear why. Imagine a system that proactively detects performance degradation, analyzes the root cause, and automatically improves your queries and indexes for you—creating pull requests with the exact optimizations needed.

CAST AI is seeking a skilled senior software engineer with expertise in databases and interest in understanding the underlying technology that makes them work. Knowledge of implementation details around transactions, wire protocols, WAL, indexes, query planning, and other fundamental database features will enable you to build a product that automates what's traditionally been manual and complex.

You'll work on a greenfield project with high impact, creating intelligent systems that make database optimization effortless for our customers.

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.

Requirements:

• Experience working with and troubleshooting PostgreSQL and/or MySQL in production environments
• Experience troubleshooting database-related issues in one of your previous roles—whether as a DBA, backend engineer, SRE, or any position where you've debugged slow queries, optimized indexes, or resolved production database problems
• Strong programming skills in Go and/or C++
• Strong problem-solving skills and the ability to troubleshoot complex issues in a production environment
• Strong written and verbal communication skills in English
• Ability to work independently and collaboratively within a team
• Startup mindset: adaptable, proactive, and comfortable with ambiguity
• A proactive, problem-solving mindset with a "yes we can" attitude

Here are some of the tools we use daily:

• Mostly Golang with C++ in the most critical data pathways
• Extending Envoy with custom network filters
• ClickHouse and PostgreSQL for business metrics
• GRPC and REST APIs
• GitLab CI with ArgoCD as our GitOps CD engine
• Prometheus, Grafana, Loki, and Tempo for observability
• Deployment charts are written in Helm.

Responsibilities:

• Design, build, and operate database optimization services in Go and C++.
• Develop features for query analysis, index recommendations, and automated performance tuning that deliver measurable database cost savings.
• Extend and maintain integrations with PostgreSQL and MySQL protocols, cloud database services (RDS, Cloud SQL, Azure Database).
• Implement query parsing, plan analysis, and recommendation algorithms that identify optimization opportunities.
• Develop monitoring and alerting systems for database performance metrics, connection health, and cost tracking.
• Shape public and internal APIs with an eye for simplicity and developer experience.
• Participate in design reviews, code reviews, and occasional 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.
• Private health insurance.
• 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.

#LI-Remote

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

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)

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