Senior Python developer

You will lead the re-architecture and rewrite of a legacy backup & disaster-recovery (BCDR) platform into a modern microservices architecture. You will build scalable, resilient, cloud-native services running on Kubernetes in AWS, design robust database layers, and collaborate closely with the leads, developers, and product team on the Client side to deliver a high-availability, high-performance system. You’ll help to define architecture, set best practices, mentor engineers, and ensure the system meets SLAs under heavy load and disaster scenarios.

The product you will work on is x360Recover, Axcient’s BCDR solution with features like chain-free backups, AutoVerify, AirGap, virtualization, local cache, cloud/direct-to-cloud recovery, etc.

• 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).

• Perform 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.

Qualifications

• 6+ 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.