Senior/Staff Platform Engineer

The role

You will design and operate an internal engineering platform to increase developer productivity. This involves optimizing CI pipelines, automating SLO dashboards, and establishing observability solutions for JVM services.

What you will do

• Compress p95 CI pipeline execution times by 40% within 12 months.
• Deliver 100% automated SLO dashboard instrumentation and alert policy coverage within 6 months.
• Establish zero platform-team dependency for production performance triage within 9 months.
• Drive a measurable reduction in platform support ticket volume via AI-assisted capabilities.
• Design and maintain pipelines, SDKs, and platform integrations for observability.
• Operate and standardize an integrated, continuous observability solution.
• Treat the internal platform as a product by conducting discovery and measuring adoption.
• Mentor product engineers on platform capabilities and architectural patterns.

Required qualifications

• 3–5 years of professional experience building or operating platforms that serve Java/JVM-based backend systems at scale.
• Strong software architecture fundamentals including distributed system tradeoffs, service boundaries, API design, and data consistency patterns.
• Hands-on proficiency with JVM internals including garbage collection tuning, classloading, thread modeling, heap analysis, and JIT behavior.
• Ability to read and reason about Java application code to diagnose performance issues.
• Experience designing and delivering developer-facing platforms like service catalogs, golden-path templates, and scaffolding tooling.
• Expertise in CI/CD systems including remote caching, test parallelization, flakiness detection, and incremental build strategies.
• Experience instrumenting and reporting on Developer Experience (DX) metrics.
• Expert-level hands-on experience with the full observability stack including Prometheus, Grafana, OpenTelemetry, Tempo, Jaeger, structured logging, and continuous profiling.
• Familiarity with SLO/SLI frameworks and error budget policies.
• Strong Linux fundamentals including process scheduling, memory management, file descriptors, networking stack, and cgroups/namespaces.
• Understanding of container runtime behavior with Docker and containerd.
• Deep understanding of Kubernetes scheduling for tuning resource allocation and JVM heap sizing.

Nice to have

• Early adopter of AI-assisted engineering workflows

Benefits

• Generous salary
• Equity in the company
• Benefits that go beyond the basics

Before you apply

• Step 1: People Interview (30 min)
• Step 2: Initial Interview (60 min) with Head of Cybersecurity
• Step 3: Case Study (3-5 Days)
• Step 4: Co-Founder Interview

About the company

Addi is a leading financial platform in Colombia building the future of payments, shopping, and banking. It serves over 3.6 million customers and partners with more than 55,000 merchants.