Key Technical Expertise

• Deep expertise in Python backend development (FastAPI preferred) and modern async programming patterns.
• API & integration design with REST/gRPC, secure auth (OAuth2, JWT), and clear domain boundaries.
• Solid grasp of distributed systems, event-driven architectures, and microservices (idempotency, retries, timeouts).
• Strong data performance skills: schema design, query optimization, caching, and throughput/latency trade-offs.
• Practical observability: structured logging, metrics, tracing, health checks/PRV.
• Hands-on with Docker, Kubernetes, and cloud-native deployment (AWS/GCP).
• Familiarity with analytics fundamentals (A/B testing, basic statistics) and data pipelines.

Qualifications

• 5+ years building production backends in Python (typing, async I/O, CI/CD).
• Proven ability to translate technical concepts into business value and communicate effectively with both technical and non-technical partners.
• Strong analytical problem-solving; able to turn ambiguity into concrete, elegant solutions.
• Track record architecting performant, scalable systems that evolve under growing load and complexity.
• Experience partnering cross-functionally with Product, SRE, and AI/ML.
• Resourceful, self-starting, and committed to continuous improvement—for the system and yourself.
• Passion for impactful technology and delivering high-quality software.

Nice to Have

• Experience with LangGraph and agentic workflows (state graphs, tools, memory, routing).
• Exposure to DDD, CQRS, EDA, or streaming platforms (Kafka/Pub/Sub).
• Knowledge of Go/Rust/C++ or other systems-level languages.
• Background with enterprise data platforms, integrations, or real-time systems.

Soft Skills & Mindset

• Communicates with clarity and empathy; values partnership as much as code.
• Thrives in ambiguity; owns problems end-to-end and delivers outcomes.
• Mentors others, shares patterns, and fosters an inclusive, learning-oriented team.
• Curious and adaptable; balances principled engineering with pragmatic delivery.
• Connects technical decisions to user impact and business results.
• Embodies a growth mindset—learn, experiment, refine.

Success Indicators

You’ll measure success not just by what you ship, but by how you elevate the system and the team:

• Reliable delivery: milestones achieved predictably and with quality.
• System excellence: services run efficiently, scale gracefully, and meet latency/availability goals.
• Collaboration: strong cross-team relationships, clear communication, healthy design debate.
• Impact: measurable improvements to reliability, scalability, and developer velocity.
• Growth: visible mentorship, pattern adoption, and shared learning across the team.