Position Title: Senior Python Developer
Experience Level: 6–7 Years
Key Responsibilities
- Cloud Migration Execution: Plan, refactor, and execute the migration of existing backend services, microservices, and data pipelines from AWS to Microsoft Azure. This includes mapping AWS-specific resources to their Azure equivalents while optimizing cloud-native performance.
- Backend Systems & Telemetry Processing: Maintain and optimize core backend integrations and configuration settings. You will be responsible for ensuring the high-availability and low-latency processing of high-volume telemetry streams and real-time system status reporting.
- Dual-Database Management: Administer, query, and optimize database schemas across a hybrid environment utilizing PostgreSQL for relational metadata and transactional tracking, and InfluxDB for time-series telemetry data and historical logging.
- Secure API Development: Architect, build, and secure highly scalable, production-grade RESTful APIs to facilitate seamless communication between our backend systems, internal services, and external client integrations.
- Identity & Access Management: Implement, configure, and maintain secure authentication and authorization protocols, specifically integrating Google API / Google Auth for external customer-facing access and Microsoft Active Directory (AD) for enterprise identity management.
Must Have
- 6–7 Years of Enterprise Python Experience: A proven track record of writing clean, maintainable, and highly optimized Python code. Experience with modern, high-performance frameworks (such as FastAPI, Flask, or Django) and asynchronous programming models (asyncio) is highly valued.
- Hands-on Cloud Migration Experience: Demonstrated experience refactoring and moving production workloads, databases, and application states from AWS to Microsoft Azure, with a strong understanding of how to mitigate migration-related risks.
- Advanced Database Expertise: Practical experience managing both relational databases (PostgreSQL, including complex joins, indexing, and query tuning) and time-series databases (InfluxDB, including data retention policies, continuous queries, and high-throughput write optimization).
- Robust RESTful API Design: Deep knowledge of REST API design principles, versioning, serialization, security practices, and integration testing methodologies.
- Enterprise Authentication Protocols: Direct experience integrating identity providers using industry standards (OAuth 2.0, OIDC, SAML) specifically utilizing ADB2C and Microsoft Active Directory (AD).
- Data Integration Pipelines: Experience handling complex system configurations and designing pipelines capable of ingestion, transformation, and storage of telemetry or high-frequency event streams.
Good to Have
- IoT Frameworks & Protocols: Familiarity with connected device architectures, telemetry ingestion patterns, or lightweight messaging protocols such as MQTT, AMQP, or CoAP.
- Azure-Native IoT Services: Exposure to Azure IoT Hub, Azure Event Hubs, or Azure Time Series Insights to streamline telemetry pipelines.
- Modern DevOps & CI/CD Practices: Experience with containerization technologies (Docker, Kubernetes) and orchestrating deployment pipelines using Azure DevOps, GitHub Actions, or Jenkins.
- Code Quality & Security Auditing: Familiarity with static code analysis tools (such as SonarQube) and secure cloud-native secret management (such as Azure Key Vault or AWS Secrets Manager).
Soft Skills
- Architectural Problem-Solving: Ability to analyze legacy codebases, identify technical debt, and propose elegant, scalable cloud-native solutions.
- Clear & Collaborative Communication: Proven capability to explain complex migration plans, technical trade-offs, and backend architectural decisions to both technical teammates and non-technical stakeholders.
- Adaptability & Initiative: A proactive mindset geared toward continuous learning, with a strong drive to adopt, evaluate, and implement emerging cloud-native technologies.
