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

Gaming Platform Backend Engineer

About the Team

The Gaming Platform team at Super owns the core transaction pipeline that powers every gaming interaction across our ecosystem, from spins and sessions to financial transactions.

This platform sits at the heart of our gaming architecture, connecting multiple game providers across jurisdictions. The team is responsible for ensuring high reliability, scalability and performance of this critical infrastructure.

The system is built on Erlang.

What you’ll do

As a Backend Engineer, you will play a key role in building and operating a high-throughput, distributed gaming platform.

Core responsibilities

• Transaction Pipeline Ownership
  • Develop, maintain and optimise internal services powering the gaming ecosystem.
  • Deliver new features, resolve bugs and continuously improve performance across Erlang services.
• Provider Integrations & Configuration
  • Integrate and manage configurations for multiple game providers.
  • Support provider migrations and upgrades.
• Infrastructure & Platform Engineering
  • Manage and optimise Kubernetes workloads within AWS.
  • Tune system resources (CPU, memory), Kafka configurations, DynamoDB usage and DNS setups.
  • Collaborate with SRE teams on cross-platform reliability and scalability.

• On-call & Incident Response
  • Act as an escalation point for production issues.
  • Investigate and resolve platform incidents, perform root cause analysis and drive fixes.
  • Office hour on-call and out of office hour on-call is possible.
• Scalability & Performance
  • Monitor and scale platform capacity during high-traffic campaigns.
  • Prevent service degradation and ensure seamless player experience under load.
• Cross-team Collaboration
  • Support internal teams (Engagement, Content Integrations, Integration teams) with API usage and transaction behaviour.
  • Enable features such as free spins, bonus rounds and other gameplay mechanics.

Key Projects & Initiatives

You’ll contribute to and shape several high-impact initiatives, including:

• Gaming infrastructure improvements and traffic optimisation.
• Provider reliability and integration layers.
• Platform observability and debugging enhancements.
• Grafana enhancements.
• AI-driven development improvements.

Tech Stack

• Languages: Erlang (prior experience in other functional languages is a plus, or willingness to learn).
• Cloud & Infrastructure: AWS, Kubernetes.
• Data & Streaming: DynamoDB, Kafka.
• Monitoring: Grafana.
• Tools: GitHub, Jira, AI-assisted development tools (e.g. Claude Code).

What We’re Looking For

• Solid understanding of high-availability, low-latency systems.
• Strong backend engineering experience in distributed systems.
• Experience with Erlang (or willingness to learn).
• Hands-on experience with cloud infrastructure (AWS) and Kubernetes.
• Familiarity with event-driven architectures (e.g. Kafka).
• Strong debugging and incident management skills.
• Ability to work in a fast-paced, high-scale production environment.

We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

We're looking for someone who

• Holds at least a Bachelor's Degree in Computer Science or a related field
• Has 5+ years of experience building high-quality software and values strong engineering practices like code reviews, CI/CD, and design documents
• Excels at writing clean, maintainable, and well-tested code with a focus on performance and scalability
• Embraces best practices in software engineering, such as comprehensive code reviews and thoughtful design documentation
• Is passionate about delivering high-quality solutions that anticipate and exceed customer needs
• Enjoys working in a collaborative team environment and communicates effectively with others

Bonus points for

• Experience with our tech stack/tools: Golang, Kubernetes, Kafka
• A passion for cloud technologies
• Familiarity with AWS services
• Experience in the betting/gaming industry

What you will be doing

• Contributing directly to the design and code of our platform;
• Optimizing the platform to support product features more efficiently;
• Focusing on ensuring the platform is stable and reliable;
• Supporting platform expansion into new markets and maintaining a stable hosting environment;
• Enabling traders to define what we map to our external offerings;
• Impacting product health in terms of scalability, speed, quality, and flexibility;
• Maintaining low latency and high success rates for the platform, directly improving user experience;
• Conducting design and code reviews and providing mentorship to other team members;
• Continuously iterating to engage customers and bring excitement to the Sports Betting and Gaming industry.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

he Gaming Integrations team is at an inflection point. We operate ~26 provider integrations across three runtimes (Elixir, Node.js, Erlang) and are the critical path for Superbet entering new markets.

This role is a key part of our capacity plan. You'll join a small but high-impact team and immediately contribute to real challenges: rebuilding our game platform into a scalable, multi-studio platform, and accelerating integration delivery so Superbet launches in new countries faster.

What You'll Be Working

• Elixir platform migration: Contributing to the migration of our Node.js/Erlang integrations to the new Elixir-based platform. Feature parity across runtimes is a blocker for many localizations today.
• Game Studio Integrations: Owning the full lifecycle of new provider integrations (launchUrl, authenticate, balance, debit, credit, void) from implementation through production sign-off.
• Platform architecture: Implementing CI/CD pipelines, shared services, and the modular architecture needed to support multiple exclusive gaming studios at scale.
• Operational excellence: Keeping KTLO (keeping the lights on) under 10% of team capacity while maintaining high availability across all 26+ live integrations.

What We Expect

Project Impact

• Consistently high productivity across many concurrent projects, and delivers large scope with quality and mature practices
• Proactively identifies problems and drives resolution, often without guidance
• Leads larger projects or small squads, runs meetings, writes status reports, tracks delivery
• Helps make the people around them move faster by identifying what's slowing the team down
• Demonstrates impact clearly through metrics, not just activity

Engineering Excellence

• Takes end-to-end ownership of product quality: reliability, efficiency, security, and performance
• Drives engineering efficiency improvements across the org (faster onboarding, better tooling, reduced cycle time)
• Becomes the established go-to owner of at least one component or system with expert depth
• Advocates for rapid prototyping and data-driven idea validation
• Develops and tracks metrics that quantify product quality and engineering efficiency

Communication & Collaboration

• Builds working relationships cross-functionally (product, SRE, QA, integration managers, gaming studios)
• Proactively seeks and acts on feedback
• Gives detailed, specific positive and constructive feedback to the Tribe lead and teammates
• Facilitates fast learning cycles and nurtures innovation within the team

Organizational Impact

• Actively mentors less-experienced engineers and creates conditions for them to grow
• Participates in recruiting and interviewing (especially for diversity recruiting)
• Onboards new team members and makes codebases easy to ramp up on
• Invests in their own skills and brings new knowledge back to the team (currently relevant: Elixir, Kafka operations, distributed systems at scale)

What We're Looking For

• MUSTs
  • High agency — proven track record of unblocking themselves and helping drive improvements across a team
  • Experience with microservice and event-based architectures
  • Experience with Kafka (operating Kafka in production is a strong bonus)
• Experience
  • 5+ years building high-quality software with strong engineering practices (code reviews, CI/CD, design docs)
  • Experience building highly-available, highly-scalable, distributed backend systems
  • Worked cross-functionally in product organizations alongside product managers, designers, and stakeholders
• Technical
  • Node.js / TypeScript
  • Kafka
  • Elixir or functional programming experience — strong bonus (our strategic direction)
  • Kubernetes, Docker, AWS
  • Experience in the betting or gaming industry
• Cultural & Behavioral
  • Strong collaborator — not a solo player, not an asshole
  • Product engineer mindset — not purely tech-focused, understands business context
  • Strong sense of ownership and problem-solving instinct
  • Clear, direct communication

Why Join Us

• T-shaped team where engineers contribute across the full stack and influence technical direction
• Fully remote, team distributed across Europe
• Partner directly with exclusive Game Studios building casino content for Superbet
• Lead and mentor in a small team with high visibility and real ownership
• High-revenue, high-stakes domain with real business impact
• Help steer the technical strategy of a growing team

• Owning the full development lifecycle – from planning and implementation to release and maintenance
• Building innovative solutions using modern technologies such as TypeScript, Vue, AWS, Docker, k8s, GitHub Actions and more...
• Leveraging best-in-class tools like Notion, Jira Cloud, GitHub, Zoom, Lattice, and Slack to maximize productivity and collaboration
• Collaborating cross-functionally with backend, frontend, design and QA engineers across squads, as well as our product team.
• Working on new product features that should provide a big customer growth by the end of the year
• Contributing to a high-growth environment
• Ensuring reliability, security, and compliance while keeping customer friction to a minimum

• 3+ years of frontend development experience with strong knowledge of JavaScript and TypeScript
• A self-starter mentality – we need autonomous engineers who proactively unblock themselves, collaborate across teams, and take initiative
• Strong attention to detail and a commitment to delivering exceptional products
• Deep understanding of best practices, design patterns, and core principles in software development
• A customer-first mindset – an understanding of how frontend decisions impact millions of users
• Strong problem-solving skills – ability to navigate complex domains and optimize high-traffic, high-availability systems
• Take ownership for technical quality, development process and developer experience
• A team-first mindset, thriving in collaborative environments where success is shared
• Willingness to learn new things. Even though Frontend will be major part of the day-to-day, we seek for an engineer who is open to learn and contribute to occasional BE tasks as well.

• Experience working in high-growth, high-scale environments.
• Experience in Go

🚀 Why this role matters

Happening powers the technology behind Superbet’s platforms and brands, serving millions of customers. Our Game Integrations squad connects third-party providers to our core platform and ensures those experiences are reliable, scalable, and compliant.

We’re growing and scaling fast, and we need a Backend Engineer who can deliver high-quality integrations, shape engineering standards, and help accelerate how quickly new providers go live.

How we work: We’re product-minded squads with strong ownership, candid feedback, and measurable outcomes. We build, run, and continuously improve the tech that powers Superbet’s customer experience.

What you’ll do

• Build integrations end-to-end - design contracts, implement services, write tests, and ship with confidence.

• Own reliability - define SLIs/SLOs, set up observability (metrics, logs, traces), and join on-call.

• Keep systems healthy - tackle production issues, reduce tech debt, and simplify through pragmatic refactors.

• Work across boundaries - collaborate with Product, Compliance, SRE, Data, Security, and external partners to keep delivery smooth.

• Level up the team - mentor more junior teammates through sharp code reviews, pairing, and knowledge sharing.

🛠️ Tech we use

• Node.js + TypeScript (backend services & integrations)

• Kubernetes (K8s) in production, CI/CD pipelines, containerized deployments

• REST APIs with versioning & backward compatibility

• Observability stack → metrics, tracing, logging, dashboards, and alerts

What we’re looking for

• 3+ years building backend systems (ideally integrations) with Node.js + TypeScript

• Event-driven systems (Kafka) and low-latency/high-throughput workloads

• Solid production experience with Kubernetes and CI/CD pipelines

• Strong background in API design (REST) and maintaining compatibility at scale

• Focus on testing & quality (unit, integration, QA collaboration)

• Ability to write clear docs and status updates that keep teammates aligned

Nice to have  

• Experience with Nest.js

• Gaming/fintech/e-commerce integrations (wallets, catalogs, identity, compliance)

• Experience in regulated environments with staged rollouts

🚀 Why this role matters

Happening powers the technology behind Superbet’s platforms and brands, serving millions of customers. Our Game Integrations squad connects third-party providers to our core platform and ensures those experiences are reliable, scalable, and compliant.

We’re growing and scaling fast, and we need a Backend Engineer who can deliver high-quality integrations, shape engineering standards, and help accelerate how quickly new providers go live.

How we work: We’re product-minded squads with strong ownership, candid feedback, and measurable outcomes. We build, run, and continuously improve the tech that powers Superbet’s customer experience.

What you’ll do

• Build integrations end-to-end - design contracts, implement services, write tests, and ship with confidence.

• Own reliability - define SLIs/SLOs, set up observability (metrics, logs, traces), and join on-call.

• Keep systems healthy - tackle production issues, reduce tech debt, and simplify through pragmatic refactors.

• Work across boundaries - collaborate with Product, Compliance, SRE, Data, Security, and external partners to keep delivery smooth.

• Level up the team - mentor more junior teammates through sharp code reviews, pairing, and knowledge sharing.

🛠️ Tech we use

• Node.js + TypeScript (backend services & integrations)

• Kubernetes (K8s) in production, CI/CD pipelines, containerized deployments

• REST APIs with versioning & backward compatibility

• Observability stack → metrics, tracing, logging, dashboards, and alerts

What we’re looking for

• 3+ years building backend systems (ideally integrations) with Node.js + TypeScript

• Event-driven systems (Kafka) and low-latency/high-throughput workloads

• Solid production experience with Kubernetes and CI/CD pipelines

• Strong background in API design (REST) and maintaining compatibility at scale

• Focus on testing & quality (unit, integration, QA collaboration)

• Ability to write clear docs and status updates that keep teammates aligned

Nice to have  

• Experience with Nest.js

• Gaming/fintech/e-commerce integrations (wallets, catalogs, identity, compliance)

• Experience in regulated environments with staged rollouts

We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

We're looking for someone who

• Holds at least a Bachelor's Degree in Computer Science or a related field
• Has 5+ years of experience building high-quality software and values strong engineering practices like code reviews, CI/CD, and design documents
• Excels at writing clean, maintainable, and well-tested code with a focus on performance and scalability
• Embraces best practices in software engineering, such as comprehensive code reviews and thoughtful design documentation
• Is passionate about delivering high-quality solutions that anticipate and exceed customer needs
• Enjoys working in a collaborative team environment and communicates effectively with others

Bonus points for

• Experience with our tech stack/tools: Golang, Kubernetes, Kafka
• A passion for cloud technologies
• Familiarity with AWS services
• Experience in the betting/gaming industry

What you will be doing

• Contributing directly to the design and code of our platform;
• Optimizing the platform to support product features more efficiently;
• Focusing on ensuring the platform is stable and reliable;
• Supporting platform expansion into new markets and maintaining a stable hosting environment;
• Enabling traders to define what we map to our external offerings;
• Impacting product health in terms of scalability, speed, quality, and flexibility;
• Maintaining low latency and high success rates for the platform, directly improving user experience;
• Conducting design and code reviews and providing mentorship to other team members;
• Continuously iterating to engage customers and bring excitement to the Sports Betting and Gaming industry.

We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

We're looking for someone who

• Holds at least a Bachelor's Degree in Computer Science or a related field
• Has 5+ years of experience building high-quality software and values strong engineering practices like code reviews, CI/CD, and design documents
• Excels at writing clean, maintainable, and well-tested code with a focus on performance and scalability
• Embraces best practices in software engineering, such as comprehensive code reviews and thoughtful design documentation
• Is passionate about delivering high-quality solutions that anticipate and exceed customer needs
• Enjoys working in a collaborative team environment and communicates effectively with others

Bonus points for

• Experience with our tech stack/tools: Golang, Kubernetes, Kafka
• A passion for cloud technologies
• Familiarity with AWS services
• Experience in the betting/gaming industry

What you will be doing

• Contributing directly to the design and code of our platform;
• Optimizing the platform to support product features more efficiently;
• Focusing on ensuring the platform is stable and reliable;
• Supporting platform expansion into new markets and maintaining a stable hosting environment;
• Enabling traders to define what we map to our external offerings;
• Impacting product health in terms of scalability, speed, quality, and flexibility;
• Maintaining low latency and high success rates for the platform, directly improving user experience;
• Conducting design and code reviews and providing mentorship to other team members;
• Continuously iterating to engage customers and bring excitement to the Sports Betting and Gaming industry.

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

Senior Fullstack Engineer

If you love building software that actually matters — and you're energised by the idea of shipping production-grade features across the full stack while working in a team where AI is a genuine daily collaborator, not a buzzword — this role is for you. You'll own end-to-end delivery on Duetto's core revenue platform, drive a major migration from monolith to microservices, and help shape how the team engineers at scale.

What Makes Us Different?

Duetto is the hospitality industry's leading revenue management platform, founded in 2012 by former Wynn Resorts executives who knew the industry needed better technology. We built the world's first Revenue & Profit Operating System — a suite of tools (GameChanger, ScoreBoard, BlockBuster, Advance and more) that goes beyond room pricing to give hotels, resorts and casinos a complete picture of their revenue and profitability. Trusted by clients ranging from independent boutique hotels to global chains, we've been named the #1 Revenue Management Software by HotelTechAwards four years running and the #1 Best Place to Work in Hotel Tech in 2025. Backed by GrowthCurve Capital since 2024, we're accelerating our investment in AI — and we're genuinely passionate about the industry we serve. We build products we're proud of, for customers we care about.

What You'll Be Doing

• You'll own full-stack feature delivery end-to-end — from requirements through to production — across Java/Spring Boot microservices and TypeScript/React frontends, including monitoring and troubleshooting in live environments.
• You'll make independent architectural decisions and convert prototypes into scalable, maintainable production systems, collaborating closely with Product, Design, and Engineering to hold a high bar for end-user quality.
• You'll drive the migration of our legacy monolith, applying Domain-Driven Design principles, event-driven architecture patterns, and structured decomposition strategies to modernise software at scale.
• You'll champion test quality by writing automated end-to-end tests in Cypress or Playwright and embedding data-driven testing practices across the team.
• You'll mentor peers on prompt engineering, AI-assisted development, and code review — operating confidently in a generate-and-review model where 50–70% of code is AI-generated.
• You'll contribute to and improve AI-augmented engineering workflows, building and refining custom skills, agents, and agentic pipelines that accelerate the whole team's delivery velocity.

What We're Looking For

You may be a good fit if you have:

• 4–6 years of full-stack engineering experience with production depth across both backend and frontend
• Strong proficiency in Java and Spring Boot for enterprise backend development
• Strong proficiency in TypeScript and React for modern web applications
• Experience building and maintaining GraphQL APIs
• Solid working knowledge of SQL and NoSQL databases, particularly MongoDB
• Hands-on experience with end-to-end testing frameworks — Cypress or Playwright
• A working understanding of microservices architecture and event-driven integration patterns
• Demonstrated experience with Claude Code CLI or a comparable AI code generation tool — you're comfortable in a generate-and-review workflow, not just curious about it

Strong candidates may also have:

• Experience in or exposure to the hospitality technology sector
• A background in legacy modernisation — monolith decomposition, migration planning, or similar
• Familiarity with Domain-Driven Design (DDD) in an enterprise context
• Experience with AI code review tools such as CodeRabbit or Augment
• Working knowledge of AWS, Kubernetes, and CI/CD pipeline management

Why Duetto?

• AI isn't a side project here — it's how we work. With 50–70% of code AI-generated and a team actively building custom agents and agentic pipelines, you'll be operating at the frontier of how software gets built.
• Real architectural ownership. This is a high-autonomy IC role — you'll make independent technical decisions that shape the platform, not just implement tickets.
• Work that ships. We move fast, hold a high bar, and care deeply about what we put in front of customers. If you want to see your work in production, you will.
• A mission worth caring about. Hospitality is a people industry, and we help the people running it do their jobs better. That's something to feel good about.
• Fully remote from Split, Croatia, with a global team that takes collaboration seriously.

The Details

• Location: Split, Croatia
• Work model: Remote

Duetto is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by applicable law.

Sound like you?

You don't need to tick every box — if this role excites you and you're strong across most of what we're looking for, we'd love to hear from you. Apply and tell us what you'd bring.

#LI-REMOTE

About Vumedi:

Vumedi is the largest video education platform for doctors worldwide, dedicated to advancing medical education through innovative video-based learning. Our mission is to empower healthcare professionals by providing them with access to the latest clinical knowledge and surgical techniques from experts around the globe. We curate a vast library of high-quality educational content, enabling users to enhance their skills, stay informed about industry trends, and improve patient outcomes. We are headquartered in Oakland, CA, and have additional offices in Minneapolis, MN, and Zagreb, Croatia. 

We're hiring a Senior DevOps Engineer to lead the development of our digital platform and products at this critical stage of Vumedi’s growth. 

Why join Vumedi right now?

• Build technology that matters in a fast-scaling Silicon Valley digital healthcare company: Your work directly impacts how doctors across the world learn and make decisions that save lives.
• Grow as we grow: Be part of a company in an accelerated growth phase, where expanding teams, products, and markets create real opportunities for ownership, leadership, and career progression.
• Build with AI: Work on applied LLM systems - from intelligent search to AI-driven content agents - and shape how AI transforms medical knowledge delivery.
• Own your craft end-to-end: Take full responsibility for building systems that scale globally and power mission-critical workflows.
• Collaborate globally: Join a world-class team of passionate engineers on modern tech stack which will further drive your career development.
• Have real product impact: Influence the direction of product development by collaborating closely with product and leadership teams.

About the role:

We are looking for a Senior DevOps Engineer to join our engineering team and take ownership of our infrastructure, deployment processes, and overall platform reliability. You will work closely with backend and data teams to support a growing video and data platform used by millions of healthcare professionals worldwide.

In this role, you will focus on improving our CI/CD pipelines, system reliability, and developer experience, while helping scale our cloud infrastructure in a secure and cost-efficient way. You will work extensively with AWS services (compute, storage, networking, IAM, monitoring) and help ensure our systems are reliable, observable, and well-architected.

You’ll also support and enable emerging AI/ML and LLM-powered systems used for large-scale medical content processing, helping build and operate the infrastructure required for these workloads. This includes improving data pipelines, optimizing resource usage, and ensuring production-grade reliability of AI-driven services.

This is a high-impact role with a broad scope—from supporting production systems and data pipelines to driving long-term improvements in how we build, deploy, and operate our platform, with strong ownership and autonomy in shaping DevOps practices.

What you will do:

• Own and improve our infrastructure, CI/CD pipelines, and deployment processes across multiple environments
• Work with AWS services (compute, storage, networking, IAM, monitoring) to ensure scalable, secure, and reliable systems
• Collaborate closely with backend and data teams to support production systems, data pipelines, and overall platform reliability
• Continuously improve developer experience by streamlining workflows, reducing friction, and enabling faster, safer deployments
• Contribute to improving security practices, access control, and compliance of our infrastructure
• Automate infrastructure and workflows using Python 
• Improve observability by implementing and maintaining monitoring, logging, and alerting systems
• Troubleshoot production issues, participate in incident response, and implement long-term fixes to improve system stability
• Identify and drive improvements in performance, scalability, and cost efficiency across the platform
• Support and scale AI/ML and LLM-based systems, ensuring reliable infrastructure for data processing and content classification workloads

Who you are: 

• You have 5+ years of experience in DevOps, SRE, or infrastructure engineering, with a strong focus on cloud-native environments (preferably AWS)
• You have managed cloud infrastructure (networking, IAM, compute, storage) with a strong understanding of security best practices and cost optimization
• You have experience building and maintaining CI/CD pipelines to support rapid, reliable software delivery across multiple environments
• You are comfortable writing Python for automation, scripting, and building internal tooling to improve infrastructure and developer workflows
• You have a strong understanding of monitoring, logging, and observability (e.g., Datadog, Prometheus, CloudWatch), and proactively identifying and resolve issues
• You are comfortable debugging production issues across systems and collaborating with engineering teams to resolve them
• You are proactive, take ownership, and enjoy working in environments with high autonomy and evolving processes
• You communicate clearly and collaborate effectively with engineers, product managers, and other stakeholders
• You are curious and motivated to learn, especially in areas like AI/ML infrastructure and large-scale systems

Required Qualifications:

• 5+ years of experience in DevOps, Site Reliability Engineering, or infrastructure-focused roles
• Proven experience designing and operating scalable, reliable, and secure cloud infrastructure (preferably AWS) in production environments
• Strong understanding of cloud security best practices (IAM, network security, secrets management), preferably within AWS
• Proficiency in Python for automation, scripting, and tooling
• Hands-on experience building and maintaining CI/CD pipelines
• Experience with monitoring, logging, and alerting tools (e.g., Datadog, CloudWatch, Prometheus)
• Experience working in a Linux-based environment
• Ability to drive infrastructure and DevOps strategy, balancing scalability, reliability, and cost
• Experience working cross-functionally and influencing engineering teams on best practices and architectural decisions
• Strong ownership mindset with the ability to operate autonomously in ambiguous environments

Preferred Qualifications:

• Experience supporting or scaling AI/ML or LLM-based systems in production
• You have worked with containerized applications (Docker) and are familiar with orchestration concepts (Kubernetes or ECS is a plus)
• You are familiar with Infrastructure as Code principles (e.g., Terraform) and have experience implementing Infrastructure as Code from scratch in existing environments
• You have experience working with or supporting backend systems and data platforms (e.g., Postgres, Airflow is a plus)
• Background in backend engineering or software development
• Experience working in a fast-paced startup or scale-up environment
• Experience leading and mentoring engineers, while contributing to team-wide best practices

You can expect:

The base salary range for this role is determined by a number of factors, including but not limited to skills and scope required, unique relevant experience, and job-related skills.

Cash salary is but one component of our compensation package. It’s inclusive of base salary, education budget, supplemental health insurance, free meals allowance, work from an alternative workplace allowance, occasional awards - Christmas bonus, and an annual bonus.

We also offer stock options as part of our compensation package, giving you the opportunity to share in the long-term success and growth of the company.

This is a hybrid role, working 3 days a week (Monday, Wednesday, and Friday) in our Zagreb office.