Software Development Engineer

Astranova Mobility; Gurugram District; On-site; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Growth

Ownership

Culture

Compensation & ESOPs

Hybrid work model (Gurgaon)

Job summary

Astranova Mobility is hiring Backend Engineers at the SDE-2 and SDE-3 level to design and build core platforms for EV leasing and fleet operations. You will work on cloud-native technologies and modern data pipelines, tackling IoT data processing at scale.

The role emphasizes strong fundamentals in Python/Java, microservices, and distributed systems, with exposure to AI-assisted tooling to enhance development workflows. Gurgaon-based hybrid work model offered.

Qualifications

• Experience building complex, large-scale backend or data engineering systems.
• Strong proficiency in Python or Java with solid system design knowledge.
• Hands-on experience with microservices, RDBMS, NoSQL, and messaging systems.

Responsibilities

• Architect and build scalable, high-performance backend systems for EV leasing and fleet ops.
• Translate business requirements into technical designs and lead large-scale distributed systems.
• Build pipelines to ingest and process IoT/telemetry data at scale.

Skills

Python

Java

Data structures

Algorithms

System design

Microservices

Docker

Kubernetes

Cloud platforms

GCP

AWS

PostgreSQL

MongoDB

Kafka

Pub/Sub

Education

B.E. / B.Tech or equivalent

Tools

Docker

Kubernetes

GCP

AWS

PostgreSQL

MongoDB

Kafka

Pub/Sub

Job description

About Astranova Mobility

Astranova Mobility is a full-stack EV asset-management and leasing platform helping commercial fleets transition to sustainable mobility. We combine leasing, asset management with modern technology, so businesses can electrify their fleets without friction. As we scale across a fast-growing market, our engineering team is building the systems that power fleet electrification end to end from IoT and telematics to financing and lease operations.

About the Role

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.

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.

What We're Looking For

• 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

We're building an engineering culture where AI tools are part of the craft, not a bolt-on. The following are a strong plus — and if you're new to some of them, we'll help you get there.

• Agentic coding tools — Hands-on use of tools like Claude Code, GitHub Copilot, Cursor, or Windsurf for day-to-day development, refactoring, and debugging.
• LLM application development — Experience integrating LLM APIs (Anthropic, OpenAI, or 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.

What We Offer

• Growth — A seat on a rocket ship that's just taking off, with real room to grow into bigger scope.
• Ownership — A lean structure with no micromanagement — you own your work end to end.
• Culture — A team built on passion, excellence, boldness, humility, and a genuine obsession with people.
• Compensation — Competitive salary plus ESOPs for long-term wealth creation.
• Work-Life Balance — A healthy hybrid work model based out of Gurgaon.