Role Description We are currently recruiting for an experienced, hands-on Platform Engineer to help shape our infrastructure, improve system reliability, accelerate product development, and improve release cadence. The focus of this position is the design and operation of the data and infrastructure platform that our product and research teams build on. You will work closely with the platform team on critical infrastructure components and help scale the platform as the team and product grow. Tasks - Contribute to and evolve our cloud infrastructure across compute, storage, networking, IAM and security controls - Build and maintain CI/CD pipelines across a mixed TypeScript and Python codebase - Operate and improve our primary data stores — relational and graph databases - Design and implement data pipelines that move, transform and validate data across the platform - Implement observability — structured logging, distributed tracing and alerting - Contribute to security and compliance posture across services - Build internal developer tooling that makes iteration fast and safe - Support deployment and scaling of research workloads including GPU-based training runs Qualifications - Solid hands-on experience with a major cloud provider — GCP preferred - Strong infrastructure-as-code practice — Terraform or Pulumi - Experience operating Postgres in production - Proficiency in CI/CD design and multi-environment deployments - Comfort working across TypeScript and Python codebases - Security-first mindset Requirements - Nice to have: - Experience with graph databases - Familiarity with data pipeline tooling - Experience running GPU workloads on cloud infrastructure - Exposure to geospatial or domain-specific data formats Benefits - Work on a greenfield platform with direct research and product impact - Close collaboration with a small, senior engineering and AI team - Potential for continued growth and expanded responsibility - Flexible remote setup

• Own delivery of production-grade data systems. • Drive system design for data architecture. • Ensure high standards for code quality and reliability. • Translate business needs into technical solutions. • Collaborate across engineering, product, and data teams. • Mentor and unblock other engineers. • Identify and mitigate risks early. • Improve systems, tools, and processes.

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

• Verantwortung für die Weiterentwicklung und Optimierung von Data Migration Services • Unterstützung bei der Anbindung neuer Kunden an moderne Steuerlösungen • Gestaltung, Optimierung und Skalierung von Migrationsstrecken sowie Analyse komplexer Datenstrukturen • Entwicklung intelligenter Mapping-Logiken und automatisierter Cleansing-Strategien • Entwicklung automatisierter Tests zur Sicherstellung der Datenintegrität und Datenqualität über den gesamten Migrationsprozess hinweg • Aufbereitung von Migrations- und Testdaten, Überwachung der Verarbeitungsprozesse und Fehleranalyse • Aktive Mitwirkung in der kontinuierlichen Weiterentwicklung von Entwicklungsprozessen, Tools und Best Practices