Python Engineer
Montash Limited
UK
2 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Amazon Elastic Compute Cloud
Amazon S3
Automation of Tests
Software Quality
Extract Transform Load (ETL)
Data Sharing
Amazon DynamoDB
Python (Programming Language)
Data Streaming
Systems Integration
GitHub Copilot
+7 more
Boto3
AWS Lambda
Pytest
Cloudwatch
Api Gateway
Amazon Simple Queue Service (SQS)
Serverless Computing
Job description
You will join a data and analytics unit within a UK public sector organisation, working on a live AWS serverless data platform. The focus is on delivering new features and keeping the platform stable, with plenty of ownership over production support and code quality., * Deliver new features and enhancements from analysis through implementation and support
- Investigate, diagnose and resolve production issues across the platform and its integrations
- Analyse existing code and implement maintainable, proportionate and low-risk changes
- Build and support event-driven and serverless services on AWS
- Deliver secure, scalable data sharing capabilities using AWS Batch and API Gateway
- Expand and maintain automated test coverage using pytest, moto or similar tooling
- Contribute to technical designs and agree pragmatic implementation approaches
- Create and maintain technical documentation, operational procedures and support guidance
Requirements
- Python development experience building and maintaining production services with boto3 and AWS SDKs
- Hands-on and demonstrable use of AWS Lambda, EC2, S3, SQS, DynamoDB and CloudWatch
- Experience with event-driven and serverless architectures
- AWS Batch and API Gateway experience
- Automated testing with pytest, moto or related tooling
- Track record of troubleshooting production issues spanning multiple services and workflow stages
- Ability to maintain clear technical and operational documentation
Nice to Have
- Recent history of working with large-scale ETL pipeline platforms, including infrastructure, integrations and data flows
- Experience supporting the application and infrastructure sides of a live service
- Improving platform performance, maintainability and operational stability
- GitHub Copilot and agentic workflows
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