Build reusable engineering assets (service templates, starter kits, reference implementations, shared libraries)
Define and roll out best practices: Branching/release strategy, PR standards, versioning/tagging, feature flags
Unit/integration testing and reliable test-data patterns
Secure-by-default standards (dependency hygiene, secrets management, least privilege, secure configuration)
Enable AI-assisted development (prototyping, code understanding, test generation, refactoring) with quality/security guardrails
Reduce friction across Java/Spring Boot and Node.js/.NET/Python teams via practical enablement
Improve developer workflows (local setup, reproducible builds, environment consistency, debugging/troubleshooting guidance)
Standardize cloud-native deployment patterns for AWS/GCP (EKS/ECS/Cloud Run)
Implement observability-by-default using Datadog (instrumentation, dashboards, alerting standards, operational guides)
Create standardized delivery automation (e.g., reusable GitLab CI/CD templates)
Partner with platform teams to improve docs, onboarding, self-service tools, and paved-road workflows (turn common issues into docs/examples/automation)
Drive metrics-based improvements (DORA metrics, SLOs/SLAs, error budgets, alert thresholds)
Drive adoption through documentation, examples, enablement sessions, and office hours

Requirements

BS in Computer Science/Engineering (or equivalent)
5+ years software engineering experience with increasing scope
Production experience with Java + Spring Boot
Maven proficiency (build/test, dependency management, packaging)
Familiarity with Node.js, .NET, and/or Python
CI/CD experience (preferably GitLab Pipelines or similar) focused on repeatable delivery and developer experience
Experience deploying/operating containerized services in AWS and/or GCP (GKE, EKS, ECS, Cloud Run)
Observability across logs/metrics/traces (preferably Datadog)
API testing and documentation (Postman, OpenAPI/Swagger)
Modern delivery practices: unit/integration testing, branching strategies, security best practices
Kubernetes packaging/config and container build best practices (Helm/Kustomize)
Infrastructure as Code (IaC) experience
Software supply chain security (dependency scanning, SBOMs, signing/attestations)
Familiarity with DORA metrics and reliability practices (SLOs, error budgets)
Experience with AI-assisted engineering practices (prompting, review habits, quality checks, safe-use guidelines)
Prior developer productivity and/or platform engineering experience

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

JavaSpring BootMavenNode.js.NETPythonCI/CDKubernetesInfrastructure as CodeAPI testing

Soft Skills

developer experiencedocumentationenablementtroubleshootingcollaborationmetrics-based improvementsonboardingcommunicationproblem-solvingleadership

Certifications

BS in Computer ScienceBS in Engineering