Why this role?

We need someone who has built the platforms and infrastructure that enable quality at scale, not a traditional QA tester. We're looking for the kind of person who set up SonarQube for an org, built quality gates into CI pipelines, created end-to-end testing frameworks, or stood up developer productivity metrics. This hire strengthens our "test" capability and ensures quality is embedded into the delivery pipeline by design.

Overview

We're looking for a DevOps/SRE Engineer with a quality engineering and developer productivity background to join Release Engineering. You'll own the tooling and infrastructure that ensures code quality, test reliability, and engineering productivity across all of our stacks, making it easy for engineers to do the right thing by default.

What You'll Do

• Own and evolve our code quality infrastructure: static analysis (SonarQube), quality gates, coverage reporting, and integration with CI/CD pipelines.
• Build and maintain testing frameworks and infrastructure: end-to-end testing platforms, test orchestration, flaky test detection, and test environment management.
• Define and implement quality gates across the delivery pipeline, from PR checks through staging and production promotion.
• Drive developer productivity tooling: build performance monitoring, CI feedback loops, and metrics dashboards (build times, test reliability, cycle time).
• Partner with engineering teams to create "golden paths" that embed quality into the standard development workflow without adding friction.

What We're Looking For

• 3+ years of experience in a platform, DevOps, SRE, or developer productivity role with a strong quality engineering focus.
• Hands-on experience setting up and operating code quality platforms (SonarQube, CodeClimate, or similar) and integrating them into CI/CD workflows.
• Experience building or maintaining test automation infrastructure (not writing test cases, but building the platforms that enable testing at scale).
• Familiarity with CI/CD systems, containerized environments, and build tooling.
• An engineering mindset: you solve quality problems with tooling and automation, not manual processes.

Nice to Have

• Experience with Bazel or monorepo build systems and their quality/testing integrations.
• Background in developer productivity metrics (DORA, SPACE, or custom frameworks).
• Familiarity with test impact analysis, selective test execution, or AI-assisted quality tooling.
• Experience working in a multi-stack environment (Go, JS/TS, Erlang/Elixir).

Why this role?

Our Erlang- and Elixir stack are critical parts of our platform, but the talent pool for engineers who understand the BEAM ecosystem and CI/CD/infrastructure is extremely small. This is a hard-to-fill but high-impact hire. The right person will own reliability and delivery for a stack that is central to our operations.

Overview

We're looking for a DevOps/SRE Engineer with hands-on experience in the Erlang and/or Elixir ecosystem to join Release Engineering. You'll own the build, test, and release pipelines for our BEAM-based services and ensure our delivery practices meet the same standard as the rest of the platform.

What You'll Do

• Own and evolve CI/CD pipelines for Erlang (Betler) and Elixir (Argo Workflows) services, from build through production deployment.
• Build and maintain base Docker images, release packaging, and deployment automation for BEAM-based applications.
• Collaborate with application teams to define and enforce release standards, quality gates, and rollback strategies for Erlang/Elixir services.
• Improve observability and reliability of the BEAM stack: build monitoring, deployment health checks, and incident response tooling.
• Contribute to migration efforts as we consolidate and modernize delivery infrastructure across stacks.

What We're Looking For

• 5+ years of experience operating, building, or deploying Erlang and/or Elixir applications in a production environment.
• Strong understanding of the BEAM VM, OTP patterns, hot code upgrades, and release management (rebar3, Mix releases).
• Hands-on experience with CI/CD systems (GitHub Actions, GitLab CI, Jenkins, Argo, or similar) and containerized deployments (Docker, Kubernetes).
• Infrastructure-as-code experience (Terraform, Helm, or similar).
• Comfortable working across the full delivery lifecycle, not just ops, not just dev.

Nice to Have

• Experience building or maintaining base images and build tooling for BEAM applications.
• Familiarity with multi-stack environments where Erlang/Elixir coexists with Go, JS/TS, or other runtimes.
• Background in high-availability domains (betting, gaming, fintech, telecom) where uptime directly impacts revenue.
• Experience with Argo Workflows or similar workflow orchestration platforms.

We're looking for a Senior Software Engineer to join our Application Frameworks team.

This is an exciting opportunity to help implement the common application development tool kits and frameworks (which internally we call Meta) that will be leveraged across all teams within Happening engineering. Your work will streamline building products, maintaining operational excellence, and meeting the needs of handling millions of interactions of end customers daily, built by hundreds of teams across the organization.

You will be working alongside talented engineers to create foundational libraries and tools that will set the standard for application development across the entire company.

What You'll Do

• Design and develop application frameworks and SDKs. Create reusable libraries, components, and tools that will empower engineering teams to build robust, scalable applications more efficiently.
• Implement best practices for Kubernetes optimization. Build applications that are optimized to run on k8s, taking into consideration state, restarts, continuous delivery, and GitOps principles.
• Create storage system integrations. Develop interfaces and abstractions for various storage technologies including relational databases, NoSQL, and event-driven or streaming architectures like PubSub.
• Drive technical standards. Collaborate with teams across the organization to establish and promote engineering best practices, coding standards, and architectural patterns.
• Support adoption and provide guidance. Help engineering teams successfully adopt our frameworks and tools through documentation, examples, and direct assistance.

What We're Looking For

• At least 5 years of software engineering experience with a focus on building maintainable, scalable systems.
• Strong proficiency in Go, Erlang, Elixir, or TypeScript with the capability and drive to learn new languages as needed.
• Experience building SDKs and Libraries ideally in a professional capacity or in open source projects with reasonable traction.
• Kubernetes expertise for building applications optimized to run on k8s, taking into consideration state, restarts, continuous delivery, and GitOps principles.
• Database and messaging system knowledge for building apps that leverage storage systems with relational databases, NoSQL, event-driven or streaming architectures like PubSub.
• Impact-driven mindset. You prioritize what's good for the business and supporting product engineers over working with trendy technologies.
• Commitment to simplicity. You strive for creating solutions that are simple to use and maintain, avoiding unnecessary complexity.
• Operational excellence focus. You're comfortable in an environment where operational excellence—from running software to adhering to team working cadences—is critical for sustainable success.
• Strong communication and collaboration skills. You can effectively work with diverse engineering teams and explain complex technical concepts to various stakeholders.

🌎 Hire Location (we can only hire for this role in the following countries): United Kingdom | Ireland | The Netherlands 

Everyone’s racing to build AI. Workera exists for the 8 billion people who have to work alongside it.

While the world’s attention is on creating new tools, someone has to solve the other side of the equation: the humans. The workforce is going through the biggest transformation in a generation and most organizations are navigating it blind, without the data to understand what their people can actually do, where the gaps are, or how to close them fast enough.

That’s what we build. Workera’s skills intelligence platform is the critical infrastructure for the AI era. It’s the layer that lets organizations understand, mobilize, manage, and develop their talent with precision. Trusted by the Fortune 500 and powered by proprietary AI agents, we’re the company helping the world’s largest organizations not just survive the transition to AI, but lead it.

We’re looking for a Senior Fullstack Engineer whose heart is in the backend — someone excited to architect and own the systems that power our AI-native platform, built on Elixir/Phoenix. You’ll join small, autonomous project teams (2–3 people) that take full ownership of a feature from scoping and prototyping through to rollout and user feedback, with the depth to contribute across the stack and the instinct to lead from the backend. AI fluency isn’t optional here — you will use agentic coding and AI agents as a core part of how you work and build.

WHY THIS ROLE EXISTS

As Workera scales its AI-native platform to serve global enterprise customers, we need senior engineering talent who can own critical backend systems end-to-end. This role exists to add to our EMEA engineering team, bringing someone with depth and ownership  — shipping high-stakes, platform-critical features while advancing our AI-first engineering culture.

YOUR TEAM

You’ll join a cross-functional team operating at the intersection of generative AI, enterprise software, and talent transformation. Your immediate engineering team consists of four engineers, supported by a product designer, product manager, and engineering manager, all based in the EMEA region. The team values deep work and async communication — with only a few regular touchpoints each week — so you’ll have plenty of uninterrupted time to build.

WHAT YOU’LL OWN

This isn’t a list of tasks. These are the outcomes you’re accountable for:

• Architect and own backend systems that are robust, performant, and built to scale with a growing enterprise customer base
• Lead full projects end-to-end — owning scoping, architecture, build, and rollout — within a small autonomous team
• Ship AI-powered product features using agentic coding workflows and LLM integrations as a core part of how you build
• Identify and drive cross-team technical initiatives that advance Workera’s AI-first engineering organization
• Troubleshoot and resolve production issues throughout the full stack with speed and confidence
• Contribute on the frontend (Phoenix + React) when needed, bringing a full-stack perspective to backend-led ownership

HOW YOU’LL RAMP

We don’t expect you to figure it out alone. Here’s what great looks like at each stage:

First 30 Days — Learn the Machine

• Immerse yourself in Workera’s platform, customers, and the problems we’re solving. You’ll shadow key workflows and understand how AI is embedded in day-to-day operations across teams
• Get fully up to speed with our development process and begin using AI tools and agentic coding workflows to learn and contribute to the codebase

By 90 Days — Ship Something Real

• Own your first meaningful deliverable and demonstrate end-to-end execution
• Be fully up to speed with our development process and using AI tools and agentic coding workflows to learn about and contribute to the codebase
• Deliver a project in a small team that touches every relevant part of the codebase, and be ready to troubleshoot production issues throughout the stack

By 6 Months — Multiply Your Impact

• Operate with full autonomy in your domain; your team relies on your judgment
• Have built or deployed at least one AI-assisted workflow that the team adopts
• Lead a full project, owning scoping, architecture, build, and rollout end-to-end
• Identify opportunities to use AI tools and automation to increase leverage and impact in your team
• Deeply understand our market position and communicate clearly in cross-functional discussions

We’re a fast-moving company — the scope and shape of this role will evolve as we do.

WHAT YOU BRING

We’re looking for signal, not checkboxes. Here’s what matters most:

• 7+ years of software engineering experience with a strong backend specialization in a SaaS or startup environment — full-stack capability is valued, but your heart is in the backend
• Practical experience building scalable backend systems top to bottom — ideally in Elixir/Phoenix/PostgreSQL; Go, Erlang, or Clojure backgrounds also considered; a proven ability to learn new technologies quickly is a must if you don’t have Elixir experience
• Deep expertise delivering platform-critical, high-stakes backend projects where robustness, performance, and troubleshooting are non-negotiable
• Day-to-day use of AI tools to enhance personal productivity (e.g., Claude Code or equivalent); bonus for experience building user-facing GenAI features
• Strong user and customer orientation — you understand and optimize user flows, not just code
• Willingness and ability to contribute on the frontend when needed (Phoenix + React)
• 2+ years working with a fully remote, async team
• Excellent written and verbal communication skills in English
• Comfort working in an AI-first environment where intelligent automation and experimentation are part of daily operations, with demonstrated ability to leverage AI tools (e.g., Claude, ChatGPT, or equivalent) to improve productivity and decision-making
• Strong systems thinking — ability to see how your backend work connects to a broader AI-driven platform and enterprise customers

The details: remote work & tech stack

You should be located in the UK, Ireland, or the Netherlands. You are free to choose working hours that suit you best, as long as there is an overlap with your team for most of the day.

Our stack primarily consists of Elixir + PostgreSQL on the backend and Phoenix on the frontend (with some pockets of React). We monitor performance using Sentry, and our platform is hosted on AWS, running on Docker containers defined in Terraform. Our platform is AI-native, and we make extensive use of LLMs in our application. Our code lives on GitHub — in fact, GitHub, Slack and Linear is where most of the collaboration happens. We practice using Loom to demo our work.

HOW WE WORK: AI IS THE DEFAULT

At Workera, AI isn’t a feature we sell — it’s how we operate. Every team member is expected to:

• Use AI daily. AI assistants, copilots, and automation tools are part of your stack — not optional extras. We expect you to actively experiment with new tools and push the boundary of what’s possible in your function.
• Build your own leverage. Our marketers write code. Our PMs build automations. Our ops team deploys agents. If a workflow can be automated, you’re expected to automate it — or work with someone who can.
• Think in systems, not tasks. We value people who build repeatable, scalable solutions over people who grind through one-off work. Your goal is to make your function run smarter, not just harder.

AI fluency is a cultural expectation, not a line item on a job description.

We're looking for a Senior Software Engineer to join our Application Frameworks team.

This is an exciting opportunity to help implement the common application development tool kits and frameworks (which internally we call Meta) that will be leveraged across all teams within Happening engineering. Your work will streamline building products, maintaining operational excellence, and meeting the needs of handling millions of interactions of end customers daily, built by hundreds of teams across the organization.

You will be working alongside talented engineers to create foundational libraries and tools that will set the standard for application development across the entire company.

What You'll Do

• Design and develop application frameworks and SDKs. Create reusable libraries, components, and tools that will empower engineering teams to build robust, scalable applications more efficiently.
• Implement best practices for Kubernetes optimization. Build applications that are optimized to run on k8s, taking into consideration state, restarts, continuous delivery, and GitOps principles.
• Create storage system integrations. Develop interfaces and abstractions for various storage technologies including relational databases, NoSQL, and event-driven or streaming architectures like PubSub.
• Drive technical standards. Collaborate with teams across the organization to establish and promote engineering best practices, coding standards, and architectural patterns.
• Support adoption and provide guidance. Help engineering teams successfully adopt our frameworks and tools through documentation, examples, and direct assistance.

What We're Looking For

• At least 5 years of software engineering experience with a focus on building maintainable, scalable systems.
• Strong proficiency in Go, Erlang, Elixir, or TypeScript with the capability and drive to learn new languages as needed.
• Experience building SDKs and Libraries ideally in a professional capacity or in open source projects with reasonable traction.
• Kubernetes expertise for building applications optimized to run on k8s, taking into consideration state, restarts, continuous delivery, and GitOps principles.
• Database and messaging system knowledge for building apps that leverage storage systems with relational databases, NoSQL, event-driven or streaming architectures like PubSub.
• Impact-driven mindset. You prioritize what's good for the business and supporting product engineers over working with trendy technologies.
• Commitment to simplicity. You strive for creating solutions that are simple to use and maintain, avoiding unnecessary complexity.
• Operational excellence focus. You're comfortable in an environment where operational excellence—from running software to adhering to team working cadences—is critical for sustainable success.
• Strong communication and collaboration skills. You can effectively work with diverse engineering teams and explain complex technical concepts to various stakeholders.