SDE-2

Astranova Mobility; Gurugram District; On-site; INR 3,200,000 - 5,200,000; Full time

Job summary

Astranova Mobility is seeking Backend Engineers (SDE-2/SDE-3) to design and build core platforms. You will work with Kubernetes, gRPC, InfluxDB, Airflow, Pub/Sub, and modern CI/CD while solving IoT data processing and fleet-scale design challenges.

You will contribute to scalable backend systems, AI-assisted workflows, and high-quality software through rigorous reviews, documentation, and tests, mentoring juniors and collaborating across teams.

Qualifications

• 3–7 years of experience building complex, large-scale backend or data engineering systems.
• Strong proficiency in Python or Java and solid system-design knowledge.
• Hands-on experience with microservices, RDBMS, NoSQL, and messaging systems.
• Docker, Kubernetes, and a major cloud platform (GCP or AWS) familiarity.

Responsibilities

• Design & Development: build scalable, high-performance backend systems for EV leasing and fleet ops.
• System Architecture: translate requirements into technical designs and lead large-scale distributed systems.
• IoT & Data at Scale: build pipelines and services for IoT/telemetry data with time-series databases.
• AI-Native Engineering: integrate AI coding assistants and agentic tools in daily workflows.
• Engineering Excellence: enforce best practices, code review, documentation, and tests.
• Mentorship: guide junior engineers and raise the technical bar across the org.
• Cross-functional Collaboration: work with product, business, and design across the SDLC.

Skills

Python

Java

System design

Data structures & algorithms

Distributed systems

Education

B.E. / B.Tech or equivalent

Tools

Docker

Kubernetes

PostgreSQL

MongoDB

Kafka

Pub/Sub

Airflow

gRPC

Job description

We're hiring Backend Engineers at the SDE-2 and SDE-3 level to help design and build the

platforms at the core of Astranova's business. You'll work across cloud-native, industry-standard

technologies - Kubernetes, gRPC, InfluxDB, Airflow, Pub/Sub and modern CI/CD - solving

real problems in IoT data processing, leasing operations, and fleet-scale system design. We're

looking for engineers who are strong on fundamentals and equally comfortable using modern

AI-assisted workflows to build faster and better.

Key Responsibilities / What You'll Do:

• Design & Development - Architect and build scalable, high-performance backend systems that solve real-world problems in EV leasing and fleet operations.
• System Architecture - Translate business requirements into technical designs; evaluate trade-offs and lead engineering efforts for large-scale, distributed systems.
• IoT & Data at Scale - Build pipelines and services that ingest, process, and serve massive volumes of IoT and telemetry data using time-series databases and modern data engineering tools.
• AI-Native Engineering - Use AI coding assistants and agentic tools as part of your everyday workflow, and build AI/ML-driven features directly into the product - from anomaly detection on IoT data to LLM-powered internal tools.
• Engineering Excellence - Champion best practices - rigorous code review, clear documentation, modular design, and strong test coverage - across the team.
• Mentorship - Guide and grow junior engineers, and help raise the technical bar across the org.
• Cross-functional Collaboration - Partner closely with product, business, and design stakeholders across the full SDLC, from requirements to production.

Experience & Qualifications:

• Experience - 3-7 years building complex, large-scale backend or data engineering systems.
• Core Skills - Strong proficiency in Python (preferred) or Java, a solid grasp of both low-level and high-level system design.
• Tech Stack - Hands-on experience with microservices architecture, RDBMS (e.g., PostgreSQL), NoSQL (e.g., MongoDB), and messaging systems (e.g., Kafka, Pub/Sub).
• Infrastructure - Practical experience with Docker, Kubernetes, and a major cloud platform (GCP or AWS).
• Fundamentals - Strong grounding in data structures, algorithms, and system-design patterns.
• Education - B.E. / B.Tech or equivalent from a reputed institute.

AI Skills We Value

• Agentic coding tools - Hands-on use of tools like Claude Code, GitHub Copilot, Cursor, or Windsurf for day-to-day development, refactoring, and debugging. similar) into backend services - function/tool calling, structured outputs, and streaming responses.
• Prompt & context engineering - Comfort designing prompts, system instructions, and context windows for reliable, production-grade AI behavior.
• RAG & retrieval systems - Experience with retrieval-augmented generation, embeddings, and vector databases (e.g., pgvector, Pinecone, Weaviate).
• MCP / tool-use protocols - Familiarity with the Model Context Protocol (MCP) or similar standards for connecting LLMs to external tools and data sources.
• AI workflow automation - Experience using AI agents or scripts to automate parts of the SDLC - test generation, code review, documentation, or CI/CD tasks.
• Evaluation & guardrails - Understanding of how to evaluate AI-generated code or AI features for correctness, security, and reliability before they ship.

For more information, visit our website at www.astranovamobility.com or reach