Cloud Application Engineer (Backend-Python)

Job Title: Cloud Application Engineer (Ba ckend -Python )

Location: Gurugram, Haryana, India
Job Type: Full-Time, Hybrid

Company Overview: Schneider Electric is a global leader in energy management and automation, committed to providing innovative solutions that ensure Life Is On everywhere, for everyone, and at every moment. We are expanding our team in Gurugram and looking for a backend develop er to enhance our cloud capabilities and drive the integration of digital technologies in our operations.

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.

• Bachelor's or master's degree in computer science, Electronics & Communication Engineering, or a related field.

• 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.

• 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.

• 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.