DevOps Engineer

Responsibilities

Design, build, and maintain robust CI/CD pipelines that support rapid, reliable software delivery
Architect and manage cloud infrastructure (AWS, etc) using Infrastructure as Code (Terraform, CloudFormation, etc.)
Own container orchestration platforms - deploying, scaling, and troubleshooting Kubernetes clusters
Implement and maintain observability stacks - logging, metrics, and alerting (Datadog, Prometheus/Grafana, ELK, or similar)
Drive security best practices across infrastructure - secrets management, IAM policies, vulnerability scanning, and compliance
Lead incident response efforts, conduct postmortems, and implement systemic improvements
Collaborate with development teams to optimize application performance, deployment frequency, and mean time to recovery (MTTR)
Mentor junior engineers and contribute to internal DevOps standards and documentation
Evaluate and introduce new tooling to improve engineering productivity

Required Qualifications

3–5 years of hands-on DevOps, SRE, or infrastructure engineering experience
Strong proficiency with Linux/Unix systems administration
Deep experience with at least one major cloud provider (AWS strongly preferred)
Production-level experience with Kubernetes and Docker
Solid Infrastructure as Code experience (Terraform preferred)
Proficiency in scripting and automation (Python, Bash, or Go)
Experience designing and maintaining CI/CD pipelines at scale
Strong understanding of networking (DNS, load balancing, VPNs, firewalls, CDNs)

Nice to Have

Experience with service mesh technologies
Familiarity with GitOps workflows
Multi-cloud or hybrid cloud experience
Experience with database operations (backups, replication, performance tuning)
Relevant certifications (AWS Solutions Architect, CKA, HashiCorp Terraform Associate)
Background in software development or SRE practices

Soft Skills

Strong ownership mindset you treat production like your own product
Excellent communication skills across technical and non-technical stakeholders
Comfortable operating in ambiguous, fast-moving environments
Data-driven approach to reliability and performance decisions
Natural collaborator who lifts the team around them