India onlyAbout Smart Working
At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.
Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.
Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.
About the Role
We are looking for a hands-on Software / Data Engineer to own and maintain a modern cloud-based data platform focused on EV repair cost intelligence and analytics.
You will work across backend engineering, AWS infrastructure, data pipelines, and analytics systems, helping maintain and evolve a platform used by insurers and automotive organisations to better understand EV repair risk and pricing.
This is a highly practical engineering role suited to someone who enjoys taking ownership of systems end-to-end, solving real operational problems, and improving reliability, scalability, and maintainability across a growing platform.
The environment is lean, collaborative, and fast-moving, with significant autonomy and responsibility from day one.
Responsibilities
- Own and maintain cloud-based data pipelines and backend systems across the AWS stack.
- Run and support monthly ingestion and processing workflows using AWS services such as S3, Lambda, Glue, Athena, and Step Functions.
- Maintain and improve the Python codebase, dependencies, and backend services.
- Support and enhance the client-facing analytics dashboard and API delivery layer.
- Perform data quality validation, troubleshooting, and issue resolution across the platform.
- Improve API performance, scalability, and reliability.
- Help redesign and modernise data structures and vehicle make/model mapping systems.
- Support the productionisation of a cloud-based repair database.
- Reduce technical debt and improve engineering standards across the stack.
- Integrate and manage third-party data providers and ingestion workflows.
- Work independently to identify platform improvements and deliver pragmatic solutions.
- Use AI tools and automation to improve engineering productivity and operational efficiency.
Requirements
- 2–5+ years of experience in software engineering, data engineering, or backend engineering roles.
- Strong Python development experience in production environments.
- Experience working with AWS cloud services, particularly S3, Lambda, Glue, Athena, and Step Functions.
- Strong SQL skills and experience working with large datasets and data transformations.
- Experience building and maintaining data pipelines and ETL workflows.
- Experience working with backend APIs and cloud-based systems.
- Comfortable working across backend engineering, infrastructure, and data processing.
- Strong problem-solving skills with a pragmatic engineering mindset.
- Ability to take ownership of systems end-to-end, including maintenance, troubleshooting, and improvement initiatives.
- Comfortable operating in a fast-moving environment with evolving priorities.
- Experience using AI-assisted development tools such as ChatGPT, Claude, Cursor, or Copilot to improve productivity and automate workflows.
- Strong communication and collaboration skills.
Nice to Have
- Experience supporting analytics dashboards or client-facing reporting platforms.
- Experience optimising AWS Lambda and API Gateway performance.
- Familiarity with serverless architecture patterns.
- Experience working with SFTP-based ingestion pipelines.
- Exposure to modern frontend technologies and dashboard tooling.
- Experience in modernising or consolidating legacy systems.
- Familiarity with automotive, insurance, telematics, or analytics-related data platforms.
- Experience improving observability, monitoring, and operational reliability across cloud systems.
Benefits
- Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
- No Weekend Work: Real work-life balance, not just words
- Day 1 Benefits: Laptop and full medical insurance provided
- Support That Matters: Mentorship, community, and forums where ideas are shared
- True Belonging: A long-term career where your contributions are valued
- 5-Day AI Training: Hands-on AI Academy onboarding to get you building with AI from day one
At Smart Working, you’ll never be just another remote hire.
Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.
If that sounds like your kind of place, we’d love to hear your story.
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