AWS Lead Software Engineer-Python​/PySpark

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

• Executes creative software solutions, design, development and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Develops secure high-quality production code and reviews and debugs code written by others.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
• Leads evaluation sessions with external vendors, startups and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials and applicability for use within existing systems and information architecture.
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies.
• Designs reusable data processing and data quality frameworks, writing production‑ready Python/PySpark with testing, performance tuning and maintainable patterns.
• Builds and continuously improves reliable batch and streaming data pipelines, enhancing scalability, security and operational excellence for critical data systems.
• Develops data models and transformations using SQL and dbt to support analytics, BI and reporting use cases.
• Creates and operates workflow orchestration (e.g., Airflow) to schedule, monitor and troubleshoot data jobs, leveraging infrastructure‑as‑code (e.g., Terraform) to provision and manage platform infrastructure.
• Drives team adoption of enterprise‑authorized AI‑assisted engineering practices within the work environment to improve code quality, delivery speed and operational outcomes (e.g., AI‑assisted code review/refactoring, test strategy acceleration and incident/root‑cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‑authorized AI‑assisted development and automation capabilities, to improve the value realized by automation.

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Hands‑on experience delivering end‑to‑end software solutions across system design, application development, testing and operational stability; proficient in all aspects of the SDLC.
• Advanced programming skills, with strong Python expertise (including unit and integration testing) and advanced PySpark for building and maintaining data processing solutions.
• Proficiency with automation, CI/CD and continuous delivery practices.
• Hands‑on experience building and operating cloud‑native solutions on AWS (e.g., EKS/ECS, Lambda, API Gateway, VPC, IAM, S3, RDS/DynamoDB, SQS/SNS, Cloud Watch/Cloud Trail).
• Experience building and running cloud data platforms on AWS, Google Cloud or Azure.
• Experience with large‑scale distributed data processing, performance tuning and optimization.
• Strong SQL/Spark SQL skills, including data modeling, query optimization and execution plan analysis.
• Experience with modern warehouse/lakehouse ecosystems (e.g., Redshift, Big Query, Snowflake; Spark/Flink/Trino; Iceberg/Hudi) and using approved AI‑assisted development tools with standards to validate correctness, performance and security.
• Demonstrated experience leading effective use of approved AI‑assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.

• Experience in…