Negotiable
Outside
Remote
USA
Summary: The role of Senior Python Engineer involves developing and maintaining cloud-native applications and APIs using Python and AWS within the FSD Product Development team. The position requires a hands-on engineer with extensive Python experience and knowledge of AWS services, focusing on production-grade software development rather than MLOps. Responsibilities include designing scalable services, collaborating with various teams, and ensuring high code quality. The ideal candidate should have a strong background in backend development and AWS operations.
Key Responsibilities:
- Design, build, and maintain scalable, cloud-native services and APIs using Python and AWS.
- Experience with SageMaker.
- Collaborate with Product, Architecture, CloudOps, and Engineering teams to deliver reliable solutions that address business requirements.
- Implement backend services using Python frameworks such as Flask, Django, and AsyncIO.
- Build and operate systems using AWS services including Lambda, ECS/Fargate, EKS, S3, RDS, Aurora, Step Functions, and related services.
- Contribute to system and application design, producing clear technical documentation and participating in design reviews.
- Ensure high standards of code quality, test coverage, and maintainability, including writing unit and integration tests.
- Participate in code reviews and provide constructive feedback to peers.
- Identify performance bottlenecks and implement performance tuning and reliability improvements.
- Support integration of data pipelines and downstream consumers (including ML-enabled components where applicable).
- Perform proof-of-concept (POC) work to evaluate new technologies or approaches.
- Work closely with Product teams to translate business requirements into technical solutions.
- Mentor junior engineers and help establish engineering best practices.
- Drive continuous improvement in development workflows, tooling, and system efficiency.
Key Skills:
- Bachelor's degree in Computer Science or a related field; Master's degree preferred.
- 8+ years of experience as a Software Engineer, with a strong focus on Python backend development.
- 5+ years of hands-on experience building and operating applications on AWS.
- Strong experience designing and developing RESTful APIs and microservices.
- Solid understanding of distributed systems, concurrency, system integration, and troubleshooting.
- Experience with AWS services such as Lambda, ECS/Fargate, EKS, S3, RDS, Aurora, and related tooling.
- Hands-on experience with Docker and containerized deployments.
- Experience with CI/CD pipelines, automated testing, and deployment workflows (CodeCommit, CodeDeploy, CodePipeline, Jenkins, Harness, etc.).
- Experience with asynchronous messaging or queueing systems such as Kafka, RabbitMQ, or SQS.
- Experience monitoring and operating production systems, including error handling, logging, and recovery strategies.
- Strong understanding of software development lifecycles and Agile/Scrum methodologies.
- Strong problem-solving, analytical, and debugging skills.
- Excellent communication and documentation skills.
- Comfortable working in a fast-paced, evolving environment with multiple concurrent initiatives.
- Strong team player with experience working with globally distributed teams.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
- Design, build, and maintainscalable, cloud-native services and APIsusingPythonandAWS.
- Experience with SageMaker
- Collaborate with Product, Architecture, CloudOps, and Engineering teams to deliver reliable solutions that address business requirements.
- Implement backend services using Python frameworks such asFlask, Django, and AsyncIO.
- Build and operate systems using AWS services includingLambda, ECS/Fargate, EKS, S3, RDS, Aurora, Step Functions, and related services.
- Contribute to system and application design, producingclear technical documentationand
participating in design reviews. - Ensure high standards ofcode quality, test coverage, and maintainability, including writing unit and integration tests.
- Participate incode reviewsand provide constructive feedback to peers.
- Identify performance bottlenecks and implementperformance tuning and reliability improvements.
- Support integration of data pipelines and downstream consumers (including ML-enabled components where applicable).
- Performproof-of-concept (POC)work to evaluate new technologies or approaches.
- Work closely with Product teams to translate business requirements into technical solutions.
- Mentor junior engineers and help establishengineering best practices.
- Drive continuous improvement in development workflows, tooling, and system efficiency.
- Bachelor s degree inComputer Science or a related field; Master s degree preferred.
- 8+ yearsof experience as a Software Engineer, with a strong focus onPython backend development.
- 5+ yearsof hands-on experience building and operating applications onAWS.
- Strong experience designing and developingRESTful APIs and microservices.
- Solid understanding ofdistributed systems, concurrency, system integration, and troubleshooting.
- Experience with AWS services such asLambda, ECS/Fargate, EKS, S3, RDS, Aurora, and related tooling.
- Hands-on experience withDockerand containerized deployments.
- Experience withCI/CD pipelines, automated testing, and deployment workflows (CodeCommit, CodeDeploy,
CodePipeline, Jenkins, Harness, etc.). - Experience with asynchronous messaging or queueing systems such asKafka, RabbitMQ, or SQS.
- Experience monitoring and operating production systems, includingerror handling, logging, and recovery strategies.
- Strong understanding ofsoftware development lifecyclesand Agile/Scrum methodologies.
- Strong problem-solving, analytical, and debugging skills.
- Excellent communication and documentation skills.
- Comfortable working in afast-paced, evolving environmentwith multiple concurrent initiatives.
- Strong team player with experience working withglobally distributed teams.