Drive the redesign and reimplementation of legacy modules into a microservices-based architecture using Python
Design, build, test, deploy, and maintain backend services (REST APIs, internal services, messaging, task queues) running in containers, orchestrated via Kubernetes
Collaborate with DevOps/SRE to define CI/CD pipelines, automation, monitoring, alerting, metrics, and deployment strategies (blue/green, canary, rolling)
Ensure high reliability, fault-tolerance, graceful degradation, and recovery in error conditions (network partitions, node failures, resource exhaustion)
Design and implement service communication patterns (synchronous, asynchronous, event-driven, pub/sub), versioning, and backward compatibility
Define and enforce best practices: code quality, modularity, documentation, observability (logging, tracing, metrics)
Conduct performance profiling and tuning, address bottlenecks, optimize throughput, latency, concurrency, and memory usage
Mentor and coach more junior engineers: conduct code reviews, share architectural knowledge, promote best practices
Participate in product planning and design discussions help translate features/requirements into scalable technical solutions
Handle migration strategies: incrementally decompose legacy monolith, manage data schema migrations, ensure safe cutovers and rollbacks
Thrash in edge cases: backup/restore, disaster recovery workflows, handling large data volumes, integrity checks (AutoVerify), data immutability (AirGap)
Engage in system-level thinking: capacity planning, fault injection, chaos testing, disaster scenarios, resilience in cloud environments

5+ years of professional Python development experience (or equivalent), building production-grade backend systems
Strong experience in microservices architecture: service decomposition, inter-service communication, API design, versioning, service discovery
Hands-on experience with containerization and orchestration (Docker, Kubernetes)
Solid experience with relational databases (e.g. PostgreSQL, MySQL) including schema design, indexing, replication, partitioning, migrations
Experience building systems deployed on AWS
Understanding of distributed systems
Experience in designing for high availability, fault-tolerance, resilience, and disaster recovery
Strong debugging, profiling, and performance tuning skills (e.g. handling concurrency, memory, I/O)
Experience migrating or refactoring legacy monolithic systems to modern architectures
Proficient in writing clean, maintainable, tested code (unit tests, integration tests); familiarity with test automation
Excellent problem-solving skills, ability to break down complex problems, make trade-offs, and deliver pragmatic solutions
Good communication skills and ability to work cross-functionally with product, QA, operations, and business stakeholders
Leadership or mentoring experience is a plus

Senior Python Developer (ConnectWise)

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