Platform Engineer / DevOps Engineer

Platform Engineer / DevOps Engineer

Full-Time Contract (40hrs/week) for 12 Months, EST/CST, 100% remote in LATAM Countries

What You'd Be Doing

• Operate and improve platform tools so product teams can ship reliably, triaging tickets, fixing build issues, and handling routine service requests (access, secrets, environment setup). • Maintain and extend self-service workflows (templates, golden paths) by updating docs, examples, and guardrails under guidance from senior engineers. • Perform day-to-day Kubernetes operations: deploy/update Helm charts, manage namespaces, diagnose rollout issues, and follow runbooks for incident response. • Support CI/CD pipelines (e.g., GitLab CI): keep pipelines green, add/adjust jobs, implement basic quality gates, and help teams adopt safer deploy strategies (blue/green, canary). • Monitor and operate the observability stack using Prometheus, Alert Manager, and Thanos; maintain alert rules, dashboards, and SLO/SLA indicators; help reduce alert noise and improve signal quality. • Assist with service instrumentation across the core observability pillars—tracing, logging, and metrics—with hands-on OpenTelemetry usage (collectors/SDKs) and related telemetry tooling. • Contribute to and improve documentation: runbooks, FAQs, onboarding guides, and standard operating procedures. • Participate in an on-call rotation as needed with a well-defined escalation path; assist during incidents, post small fixes, and capture learnings in docs. • Help with cost- and performance-minded housekeeping: right-size workloads, prune unused resources, and automate routine tasks where appropriate.

We're Looking For Someone Who Has

• 6+ years in a platform/SRE/DevOps or infrastructure role, with a strong bias toward automation and support. • Experience operating Kubernetes (or similar) and core ecosystem tools (Helm, Docker, Ingress NGINX, Argo Rollouts basics). • Hands-on CI/CD experience (preferably GitLab CI): writing/modifying jobs, artifacts, environments, and basic deployment strategies. • Scripting ability in Bash or Python (Go a plus) to automate repetitive tasks and improve runbooks. • Familiarity with AWS fundamentals (e.g., IAM, EC2/EKS, S3, CloudWatch/CloudTrail, Parameter Store/Secrets Manager). • Practical understanding of monitoring/observability (dashboards, logs, alerts) and how to use them for triage and remediation, including Prometheus/Alertmanager/Thanos and OpenTelemetry basics. • Comfortable working from tickets (Jira/ServiceNow), following change-management practices, and communicating clearly with stakeholders.

Highly Preferred Candidates Also Have

• Terraform experience for infrastructure as code (managing AWS, Kubernetes add-ons, and platform components). • API integration experience (Java, Python, or Go) to build small internal tools or glue code. • Deeper Linux fundamentals and container runtime basics for effective debugging and performance tuning. • Exposure to insurance/financial services environments, including awareness of compliance and operational controls.

Must Have

• At least mid-level (not too junior). • AWS Cloud Experience – Hands-on AWS experience is required – Must clearly appear on the resume. • Kubernetes (Critical) – Strong Kubernetes experience is mandatory – Must have: Operating and maintaining clusters Some experience building Kubernetes environments – Manager explicitly stated: "If you don't know how to build, you can't operate." • Infrastructure as Code (Terraform) – Terraform experience explicitly mentioned as important – Expected to understand IaC concepts. • Python (Hard Requirement) – Used for: Automation Scripting Internal tooling – Skill level: mid-level, not advanced application development. • CI/CD Pipeline Ownership – Hands-on experience with building, maintaining, and enhancing CI/CD pipelines – Tools: GitLab CI (preferred) Jenkins / GitHub Actions acceptable – Focus on practical ownership, not tool brand. • Platform / DevOps Engineering Background – Must come from: Platform Engineering or Strong DevOps / Infrastructure background – Hands-on work with infrastructure, pipelines, and cloud operations – Not a consulting or advisory role. • Observability (Conceptual Strength Required) – Must understand observability principles and architecture – Tools interchangeable (Prometheus, Thanos, Grafana, Datadog, New Relic) – Focus on concepts + implementation. • Linux Fundamentals – Solid working knowledge required. • Mid-Size Company Experience – Preference for candidates from modern, mid-size engineering organizations.

Nice To Have

• Security exposure in CI/CD pipelines and infrastructure workflows • Multi-cloud exposure (Azure or GCP acceptable if AWS exists) • Go or additional scripting languages (Python still mandatory) • Experience supporting large engineering groups (~100–150 engineers)