Backend Engineer – Java

Company Overview:

We expect the applicant to be technically proficient, having strong fundamentals and a good grasp of the latest tools and technologies.

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.

1. 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.

1. Mentorship

• Mentor junior engineers, fostering a culture of learning, ownership, and technical excellence.
• Conduct regular knowledge-sharing sessions, code walkthroughs to upskill the team.

1. 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.

1. 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.

1. 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 features—from 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, Flask, or FastAPI.
• Expertise in building scalable data pipelines using tools like Kafka, Airflow, or Temporal.
• Solid understanding of distributed systems (e.g., Kafka, Cassandra, Druid, CouchDB).
• Experience with scalable time-series databases (e.g., InfluxDB, TimescaleDB, Druid, TDengine, Timestream, Bigtable).
• 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).
• Exposure to DevOps practices including CI/CD pipelines, container orchestration (Kubernetes).
• Prior experience in developing IoT technology stacks.