Principal-Minded Software Engineer — Backend, Systems & Full-Stack
A practical software engineer focused on building reliable, observable, and performant services and systems. I design and implement APIs, services, and platform components with clear contracts, failure modes, and operational considerations.
- High-throughput backend services with explicit performance and reliability targets.
- Well-defined APIs (REST/HTTP, gRPC) with strong typing, versioning, and compatibility guarantees.
- Distributed systems components emphasizing correctness, failure isolation, and observability.
- Infrastructure-as-code and production-grade deployment pipelines.
- Systems programming: C, C++, Rust (systems-level code, performance-critical paths)
- Backend services: Go, Java, Python, Node.js (service implementations, microservices, and monolithic)
- Scripting & automation: Bash, Python
- Service decomposition, API contracts, and backward-compatibility
- Concurrency models, resource management, and process boundaries
- Data modeling with an emphasis on consistency and operational cost
- Observability-first development: structured logging, metrics, traces
- Relational: PostgreSQL, MySQL
- NoSQL: MongoDB, Cassandra
- Caches & message stores: Redis, Memcached
- Kafka, RabbitMQ, NATS, AWS SQS
- gRPC, REST + OpenAPI, Spring Boot (Java), Gin / Echo (Go), FastAPI / Flask / Django (Python)
- Prometheus, Grafana, OpenTelemetry, Jaeger, ELK (Elasticsearch / Logstash / Kibana)
- Kubernetes, Helm, Terraform, Ansible (Currently Mastering)
- CI/CD: Docker, GitHub Actions, CircleCI, Jenkins
- Unit/integration: pytest, JUnit, Jest, and supertest, Go testing library
- Property & fuzz testing: Hypothesis, libFuzzer
- Linting & static analysis: ESLint, golangci-lint, SonarQube
- AWS (EC2, RDS, EKS, S3, Lambda), GCP, Azure
- API design: OpenAPI/Swagger specifications, contract testing
- Performance: profiling, benchmark-driven optimization, memory, and CPU budgeting
- Reliability: retries, backoff strategies, circuit breakers, bulkheads
- Observability: instrumented code paths, metrics with cardinality control, end-to-end tracing
- Security: secrets management, least privilege IAM, TLS-by-default
- Multi-tenant data partitioning and migration strategies
- Event-driven processing with at-least-once vs exactly-once semantics
- Backfill and safe schema migrations for high-volume datasets
- I prefer rigorous code review with performance and failure-mode focused feedback.
- I lean toward automated testing, staged rollouts, and canary deployments in CI/CD.
- I document architecture decisions and trade-offs; ADRs for long-lived choices.
- I enjoy reading books, playing Tennis, watching movies, and trying new things like sports.
- I love listening to music, cooking, and coding for fun!
- Email: adekunleabiodun354@gmail.com