DevOps Engineer

Job description

About the role As a DevOps Engineer at Tellent, you'll grow into a key contributor shaping how we build, run, and scale our platform. Tellent brings together Recruitee and TellentHR to help organizations attract, hire, and grow great teams. You don't need to know everything on day one — what matters is how fast you learn, how you think through problems, and how well you communicate. You'll have experienced teammates to learn from, real infrastructure to work on, and the space to develop your skills quickly. About the team You'll join a small, experienced DevOps team responsible for keeping our platform stable, efficient, and developer-friendly. We operate with high autonomy and embrace the "you build it, you run it" culture — empowering teams through automation, monitoring, and clear ownership. We think that security, reliability, performance and transparency are shared responsibilities: we continuously improve our detection, response, and audit readiness together with engineering. We work remotely first, but hybrid or office-based collaboration is possible. Our work hours are flexible with a core block reserved for synchronisation — 10 am–4 pm. Because we're remote-first, we rely heavily on asynchronous communication. We share context openly — explaining our reasoning, updating progress, and managing expectations of the teams we support. This makes our work visible, builds trust, and ensures continuity — especially critical during on-call handoffs. Your journey First 3 Months:

• Immerse yourself in our GCP, AWS and Kubernetes environments, Terraform structure, and GitHub Actions pipelines.
• Follow our onboarding process and provide feedback to it.
• You will get your first tasks quickly — we expect you to deliver real value within 2 weeks, starting with smaller scoped work.
• Receive hands-on support and mentoring from other DevOps team members.
• Meet the team & important stakeholders.
• And last but not least — every now and then we close the laptops, meet in person, and share good food and stories. Ask questions freely; curiosity is a strength here, not a weakness.

Within 6 Months:

• You're handling tasks with growing independence — breaking work into steps, communicating progress, and asking for help when it matters (not when it's too late).
• You contribute to incident troubleshooting alongside more experienced teammates.
• You start working with security tooling (AIkido), observability, and post-mortem reviews.
• After 6 months you join the on-call rotation, supported by the team.

After 1 Year:

• You're a confident, autonomous contributor. You own projects end-to-end, propose improvements, and are a trusted voice in infrastructure decisions.
• You've developed deep knowledge of our systems and can mentor others joining the team.

What you'll be doing

• Work on Kubernetes (with Argo) and cloud infrastructure — mostly GCP. Contribute to cloud infrastructure unification.
• Write and maintain Terraform configurations, learning patterns for scalable, reliable systems.
• Build and improve CI/CD pipelines using GitHub Actions.
• Help strengthen observability with OpenTelemetry and Datadog.
• Learn to integrate and act on insights from AIkido and other security tools.
• Support PostgreSQL and other managed databases used by our applications.
• Collaborate with engineering teams — proactively communicate progress, share context, and manage expectations. Participate in troubleshooting production issues.
• Contribute to internal and external security audits, learning how our systems meet compliance and resilience standards.
• Embrace SRE and GitOps principles — from post-mortems to automation and clear documentation.

What you bring

• Genuine curiosity and fast learning ability — you pick up new tools and concepts quickly, and you're not afraid of what you don't know yet. You Google, you experiment, you figure things out.
• Working knowledge of cloud platforms (GCP preferred, AWS is fine too) — you've used them, even if not at expert level.
• Familiarity with Kubernetes, Terraform, or CI/CD pipelines — you've worked with at least some of these and are eager to deepen your skills.
• Basic experience with Linux systems — you're comfortable in a terminal.
• Exposure to monitoring and observability concepts (e.g., you've used Datadog, Prometheus, Grafana, or similar — even if just setting up dashboards).
• You actively use AI tools to augment your work — not as a crutch but as a multiplier. You understand their limitations and use them thoughtfully.
• Self-management skills — you can organize your own work, break tasks into steps, and drive them forward. You don't wait to be told what to do next.
• Strong async communication — you proactively share your thinking process,...