[Hiring] Software / Data Engineer (AWS & Python) @Smart Working Solutions

Role Description

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.

Qualifications

• 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