SDE-1

Astranova Mobility

Gurugram District

Ibrido

INR 900.000 - 1.500.000

Tempo pieno

14 giorni+
Generatore di candidature

Trasforma questa posizione in un colloquio — un curriculum e una lettera di presentazione creati in base a ciò questo datore di lavoro sta cercando.

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Descrizione del lavoro

Astranova Mobility is hiring a Backend Engineer at the SDE-1 level to build scalable backend services and APIs for EV leasing and fleet operations using Kubernetes, gRPC, InfluxDB, Airflow, Pub/Sub, and modern CI/CD. You’ll gain hands-on exposure to production IoT data processing and fleet-scale backend design.

You will work with senior engineers, contribute to data pipelines, and leverage AI-assisted development tools to accelerate delivery.

Competenze

  • 1–3 years of backend or data engineering experience.
  • Good proficiency in Python (preferred) or Java with solid data structures & design fundamentals.
  • Experience with RDBMS, NoSQL, and messaging brokers is a plus.
  • Exposure to microservices, Docker/Kubernetes, and cloud platforms is desirable.

Mansioni

  • Design & Development — Build and maintain scalable backend services and APIs.
  • System Contribution — Implement well-scoped pieces of larger system designs.
  • IoT & Data — Ingest, process, and serve IoT/telemetry data pipelines.
  • AI-Assisted Development — Use AI coding assistants in daily workflow to build and debug faster.
  • Code Quality — Write clean, well-tested, documented code and participate in reviews.
  • Debugging & Support — Troubleshoot issues across services and data pipelines.
  • Collaboration — Work with product, design, and cross-functional teams.
  • Learning & Growth — Grow depth in distributed systems and cloud infrastructure.

Conoscenze

Python
Java
Data structures
System design

Formazione

B.E. / B.Tech or equivalent

Strumenti

Docker
Kubernetes
GCP
AWS

Descrizione del lavoro

About the Role

We're hiring a Backend Engineer at the SDE-1 level to help build and scale the platforms at the core of Astranova's business. You'll work alongside senior engineers on cloud-native, industry-standard technologies Kubernetes, gRPC, InfluxDB, Airflow, Pub/Sub, and modern CI/CD — getting hands-on exposure to real production systems in IoT data processing and fleet-scale backend design, while building strong fundamentals and learning to use AI-assisted development workflows.

What You'll Do
  • Design & Development — Build and maintain scalable backend services and APIs that solve real-world problems in EV leasing and fleet operations.
  • System Contribution — Work with senior engineers to implement well-scoped pieces of larger system designs, learning to reason about trade-offs and architecture along the way.
  • IoT & Data — Contribute to pipelines that ingest, process, and serve IoT and telemetry data using time-series databases and data engineering tools.
  • AI-Assisted Development — Use AI coding assistants and agentic tools (e.g., Claude Code, GitHub Copilot, Cursor) as part of your daily workflow to build and debug faster.
  • Code Quality — Write clean, well-tested, well-documented code and actively participate in code reviews.
  • Debugging & Support — Troubleshoot issues across services, from API bugs to data pipeline and performance problems.
  • Collaboration — Work closely with product, design, and cross-functional stakeholders throughout the SDLC.
  • Learning & Growth — Continuously build depth in distributed systems, data engineering, and cloud infrastructure with mentorship from senior engineers.
What We're Looking For
  • Experience — 1–3 years of experience building backend or data engineering systems.
  • Core Skills — Good proficiency in Python (preferred) or Java, with a solid understanding of data structures and system design fundamentals.
  • Tech Stack — Working knowledge of microservices architecture, RDBMS (e.g., PostgreSQL), NoSQL (e.g., MongoDB), and messaging brokers (e.g., Kafka, Pub/Sub).
  • Infrastructure — Exposure to Docker, Kubernetes, and a cloud platform (GCP or AWS); hands-on production experience is a plus.
  • Modern AI Skills — Comfort using AI-powered development tools; interest in learning how to integrate LLM APIs into backend services.
  • Fundamentals — Solid understanding of data structures, algorithm design, and basic system architecture patterns.
  • Education — B.E. / B.Tech or equivalent from a reputed institute.
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.
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