Platform Engineer

Job Qualifications & Skills

Education: Bachelor's Degree in Computer Science, Software Engineering, or related field

Experience: 5-8 Years with meaningful time writing production code, hands-on debugging, and operating systems at scale

Job Description

Embed with an assigned Product Engineering group as a functional team member; participate daily in standups, design reviews, backlog grooming, sprint planning, and release readiness calls.

Build and maintain deep product knowledgewhat the service does, who uses it, how pieces fit togetherso platform guidance is grounded in product context, not generic best practice.

Review pull requests and architecture proposals in the flow of work, using the lens: 'Will this run reliably, scale safely, and remain secure under 24/7 SRE operations?'

Trace data flows and troubleshoot production issues end-to-end across application and infrastructure boundaries; diagnose and fix problems without escalating to core product developers.

Guide teams through migration onto golden paths and the internal developer platform; identify and remove friction that prevents self-service deployments.

Bring services to operational maturity before handoff to SREestablish monitoring, alerting, runbooks, failover strategies, and partner with SRE on validation.

Conduct hands-on code review and patch application code for security remediation, version upgrades, and performance optimization.

Own the monthly patching cycle for the assigned group: OS, runtime, container base image, and dependency patches applied, functionally tested, and regression-verified.

Run scheduled performance, load, and soak testing against reference workloads; triage findings and implement remediationpull core engineering only where product changes are required.

Join major incidents alongside SRE; lead root-cause analysis; feed platform and architecture gaps back into the roadmap.

Champion developer success: workshops, pair programming, and an escalation path when the platform doesn't fit a use case.

Partner with Release Engineering on deployment strategies; with SRE on operational standards; and with InfoSec on security controls built into the workflow.

Must Have

5-8 years in software engineering, DevOps, SRE, or platform engineering with substantial time writing and debugging production code.

Track record of working directly inside product engineering teams (not through ticket queues); you've been embedded and know how to be a team member.

Ability to diagnose and fix production issues end-to-end across application & infrastructure

Build-capable in Go (Golang) and Python; able to read, debug, and patch Node.js/TypeScript, Dart/Flutter, Java, .NET, C++, and C code.

SQL expertise (TSQL, PLpgSQL) for performance tuning and migration pipelines.

Hands-on experience with Amazon EKS, Kubernetes, Cilium, Helm & related cloud-native technologies for deploying, securing, and operating production workloads at scale. Working knowledge of GCP/GKE.

Eperience with API gateways and service-mesh technologies, including Kong, Envoy, and Istio, with a focus on secure API management, traffic routing, and service-to-service communication.

Proficiency with Terraform, Terragrunt, and Infrastructure-as-Code; ability to review and improve IaC.

CI/CD pipeline design and implementation (GitHub Actions for build, Harness for deploy); understanding of artifact caching, quality gates, security scanning.

Expertise in integration and end-to-end testing (Playwright, Cypress, PyTest, Testcontainers); ability to guide teams on test strategy.

Performance testing (K6, Locust, JMeter); capacity planning and scalability analysis.

Database knowledge (DynamoDB, PostgreSQL, MySQL, MongoDB, Cassandra, SQL Server); query optimization and data modeling review.

Message streaming and event-driven systems (Confluent Kafka, Redis); distributed systems concepts.

Observability fundamentals: OpenTelemetry instrumentation, metrics (Prometheus, Grafana), logs, distributed tracing, and alerting strategies.

Experience with Databricks, Databricks Apps, and dashboards, including building and supporting data applications and visualizations.

Security and supply chain practices: SonarQube, Dependabot, JFrog; ability to drive remediation.

Daily use of AI-assisted development tools (Claude Code, GitHub Copilot, CodeRabbit).

Nice to Have

Mobile DevOps experience (Fastlane with Flutter/Dart, Swift, Kotlin; automated mobile UI testing).

Backstage-based internal developer platform experience.

Familiarity with internal frameworks (Gofr, NodeFr/Zode).

LLM integration and prompt engineering skills.

Cloud architecture certifications (AWS Solutions Architect, GCP Associate Engineer).

Kubernetes certifications (CKA, CKAD).