Roles and Responsibilities:
1. Platform Scalability & Workflow Optimization
- Enhance existing software services and tools to simplify workflows and ensure scalability to handle 10x the current IoT data traffic.
- Implement performance-optimized data pipelines, leveraging stream processing, efficient storage, and distributed systems.
2. Microservices Architecture Advancement
- Leverage and evolve the current microservices architecture to support modular, maintainable, and extensible development of future applications.
- Promote containerization and orchestration best practices (e.g., Docker, Kubernetes) for deployment consistency and scalability.
3. Mentorship
- Mentor junior engineers, fostering a culture of learning, ownership, and technical excellence.
- Conduct regular knowledge-sharing sessions, code walkthroughs to upskill the team.
4. Process Improvement & Engineering Culture
- Continuously improve engineering processes around:
- Code reviews: Focus on quality, readability, and maintainability.
- Testing: Strengthen unit, integration, and load testing coverage.
- Documentation: Ensure clarity and completeness for internal and external stakeholders.
- Hiring: Participate in talent acquisition to build a high-performing team.
6. Technology Evaluation & Adoption
- Evaluate emerging technologies (e.g., edge computing, AI/ML for anomaly detection, time-series databases) aligned with business goals.
- Conduct proof-of-concepts and technical feasibility studies to validate new tools and frameworks.
7. Cross-functional Collaboration & Delivery
- Set aggressive yet achievable timelines for key initiatives.
- Collaborate closely with hardware, product, and business teams to ensure alignment and timely delivery.
- Drive end-to-end ownership of featuresfrom ideation to production rollout.
- Serve as the tech lead for the development squad within an agile framework- fostering engineering best practices, mentoring team members, and ensuring smooth sprint execution without direct people management responsibilities.
Qualifications & Experience
Educational Background:
- Bachelor's or master's degree in computer science, Electronics & Communication Engineering, or a related field.
Core Competencies:
- Strong analytical, problem-solving, and communication skills.
- Proficient in presenting technical concepts to diverse audiences.
- Hands-on experience with agile methodologies such as SCRUM and Kanban.
- Self-driven and comfortable working in fast-paced, dynamic environments with minimal supervision.
Technical Skills
Must-Have:
- 6-8 years of hands-on development experience in Python and frameworks like Django.
- Expertise in building scalable data pipelines using tools like Kafka, Airflow.
- Solid understanding of distributed systems (e.g., Kafka, Druid, CouchDB).
- Experience with scalable time-series databases (e.g., InfluxDB, TimescaleDB, Druid).
- Proficiency in relational databases (PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB).
- Experience working on high-throughput systems handling at least 500 million transactions per day.
- Skilled in designing scalable APIs (REST/GraphQL).
- Experience with asynchronous task management using Celery.
- Strong grasp of algorithms and data structures with practical application for performance optimization.
- Knowledge of SOLID principles and design patterns.
- Deep understanding of architectural principles including microservices and event-driven design.
- Experience with unit testing and test-driven development (TDD).
- Familiarity with Docker and containerized environments.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Mastery of Git for source control and collaboration.
Good-to-Have:
- Working knowledge of JavaScript frameworks (ReactJS, Angular), Flask, or FastAPI.
- Exposure to DevOps practices including CI/CD pipelines, container orchestration (Kubernetes).
- Prior experience in developing IoT technology stacks.