Junior DevOps Engineer

We are looking for an early-career engineer eager to learn the orchestration and management of scalable, containerized applications in a cloud-based environment, and excited to use modern AI tooling to make day-to-day operations work faster and more reliably., * Using LLM-based coding assistants (Claude Code, Cursor, Copilot, etc.) to write, refactor, or review infrastructure and pipeline code.

• Building AI-driven automations for log analysis, alert triage, runbook execution, or ticket routing.
• Writing prompts, agents, or scripts that integrate AI with operational tooling (Slack, Jira, Confluence, Git, observability stacks).
• A practical sense of where AI accelerates work and where human review is still required. Bonus Points
• Exposure to observability tooling - the LGTM stack (Loki, Grafana, Tempo/Jaeger, Mimir/Prometheus) and/or Sentry.
• Entry-level certifications related to cloud (AWS Cloud Practitioner, GCP ACE, AZ-900) or Kubernetes (KCNA, CKAD).
• Coursework, projects, or hobby experience with distributed databases.
• Curiosity about microservices and service-mesh architectures.
• Public portfolio: GitHub, blog posts, homelab write-ups, or contributions to open-source DevOps projects., * Assist in designing, implementing, and maintaining scalable, fault-tolerant systems that leverage cluster orchestration and containerization technologies, with guidance from senior engineers.
• Work alongside the Software Engineering and QA teams to support deployment processes for microservices-based architectures.
• Help build and maintain CI/CD pipelines that support container-based application deployment and rollback.
• Support system availability by running health checks and contributing to zero-downtime deployments.
• Participate in a supported on-call rotation, escalating critical system issues appropriately as you build incident-response experience.
• Collaborate with information security teams to follow industry best practices and compliance requirements.
• Use AI-assisted tooling (e.g., LLM-powered coding assistants, chat-ops agents, scripted automations) to accelerate routine tasks such as log triage, runbook execution, ticket drafting, and code review.

Do you have experience in Terraform?, Do you have a Master’s degree?, * 1-2 years of professional experience in DevOps, SRE, Cloud, or a related role - including internships, bootcamps, or substantive personal/open-source projects.

• Foundational understanding of containerization (Docker) and at least exposure to a cluster orchestrator (Kubernetes preferred).
• Familiarity with at least one CI/CD platform (GitHub Actions, GitLab CI, Jenkins, CircleCI, etc.).
• Working knowledge of at least one major cloud provider (AWS, GCP, or Azure).
• Awareness of infrastructure-as-code concepts (Terraform, Pulumi, CloudFormation, or similar).
• Basic scripting ability in a language such as Python, Bash, or Go.
• Foundational grasp of networking concepts and protocols (TCP/IP, DNS, HTTP, TLS).
• Strong problem-solving instincts and willingness to ask questions, learn, and document.

Strongly Preferred - AI-Augmented Workflow Experience

Candidates who have meaningful, demonstrable experience using AI tools to automate

workflow tasks will be prioritized over otherwise-equivalent candidates without that experience

• Competitive pay rates
• Fully remote work environments
• Generous time off opportunities
• Team trips and special events
• Mentorship from senior DevOps and SRE engineers, with a clear path for growth