DevOps Engineer

We are looking for a Senior DevOps Engineer to join our DevOps Team.

In this role, you’ll be responsible for designing, implementing, and scaling the infrastructure that powers our agentic platform. You’ll take a leading role in shaping and building our CI/CD pipelines, observability stack, cloud environments, and internal developer tools - all critical to enabling fast, secure, and scalable development.

Key Responsibilities

• Architect & Build: Design and implement scalable, secure, and observable infrastructure in AWS and Kubernetes.
• Platform Engineering: Evolve our CI/CD pipelines using GitHub Actions and GitOps workflows via ArgoCD.
• Infrastructure as Code: Maintain and expand our Terraform and Crossplane-based infrastructure.
• Observability: Own our Datadog stack (metrics, traces, dashboards, alerts) and promote SLOs and performance standards.
• Automation: Build robust tooling in Python and Bash to support developers, ML workflows (SageMaker), and data pipelines.
• Security & Reliability: Ensure high standards for container security, secrets management, and fault-tolerant systems.

Required Skills & Experience

• 4+ years of hands-on experience in DevOps or Infrastructure Engineering within a production environment.
• Strong expertise in AWS. Experience with other major cloud platforms is also acceptable.
• In-depth knowledge of Kubernetes operations and its ecosystem, including tools such as Helm, ArgoCD, RBAC, Ingress, and network policies.
• Extensive experience with Terraform.
• Proven experience in building and managing CI/CD pipelines, ideally using GitHub Actions or similar tools.
• Experience in building images and image lifecycle best practices (including security, caching, and SBOMs).
• Comfortable in scripting and automating, particularly with Python and Bash.
• Hands-on experience with Datadog (or similar observability tools) for monitoring logs, metrics, APM, and building dashboards.
• Familiarity with GitOps practices and infrastructure lifecycle management using tools such as Crossplane.

Bonus Skills

• Experience supporting SageMaker, ML workflows, or data science teams.
• Familiarity with service mesh (e.g., Istio) or zero-trust networking.
• Cost optimization and security governance in AWS environments.
• Prior experience in a startup or zero-to-one infrastructure buildout.