Python Developer with AWS 100% Remote

We a contract to hire position open for a Lead Python Developer in a AWS Environment. The position is 100% remote The development environment is AWS Services (Lambda, Dynamo, EDS, RDS, S3, SQS/SNS/Event Bridge), API Gateway - strong API background, Docker/Containers, background creating and developing CI/CD pipelines (preferably Jenkins) and automation experience with Terraform is required. The Lead Software engineer responsible for delivering integrated product solutions & support for investment platforms. Works in team environment and provides technical expertise and guidance throughout the entire software life cycle. Duties include analysis, design, estimation, planning, implementation, unit / integration testing of platform improvements and operational support to ensure systems availability for business stakeholders. Also required is status tracking, communication of progress and issue resolution. Provide IT solution design, delivery & support expertise in modern Cloud, Data and DevOps technologies Implementing CI/CD pipelines and other automation solutions for all stages and environments from development to production Implements timely decisions on complicated technical problems. Manages individual tasks and timelines with an ability to work without direct supervision. Mentors and coaches teammates. Apply leadership & ownership through full solution development life cycle while providing estimates, deliverables, and results Meet regularly with Project Management and Technical leads to manage status, milestones, risks and issues in an Agile SDLCAnalyze requirements, develop technical specifications, and perform solution gap analysis via Agile/Kanban methodology Provide technical and/or business application consultation to customers and team members regarding functionality, architecture, operating systems and databases for complex product systems Prepare and present application and programming design solutions to fulfill business requirements Engage technical analysts and business users to provide input on test cases, test scenarios, and test plans Evaluate and balance application change risk with business need for timely product enhancements Efficiently design, deliver and release operational enhancements to address performance, stability, monitoring capabilities Identify and rapidly resolve issues to enable operations. Provide training guidance to team members and users as required. REQUIREMENTSSkills & Experience RequiredExperience with design, developing, and maintaining cloud-based systems Advanced ability to solve complex problems, drawing upon creativity, experience, and multiple sources of information Experience building analytic-focused applications using PythonAPIs for data access / computation Analytic processing (async computation) Data pipelines (spanning AWS / Snowflake)AWS including the development of solutions that leverage LambdasECS Fargate Step FunctionsRDSS3DynamoDBSQS / SNS / EventBridgeAPI Gateway Key areas of knowledge PythonDockerTerraformPreferredInstitutional Investment knowledge SnowflakeJenkinsExperience with AWS, GCP or other cloud provider Various datastore techniques and technologies: PostgreSQL, Athena, Redshift, S3, Parquet, OpenSearch, DynamoDB, Data Warehousing Role is for a Lead Python development background and a deep understanding of AWS cloud technologies. This role is ideal for a professional with hands-on experience in AWS Serverless architecture, containerization, and automation. The ideal candidate will have experience with AWS services like S3, CDK, Cloud Gateway, and will be proficient in deploying applications using Terraform, GitHub, CI/CD pipelines, Jenkins, and Airflow. A solid understanding of cloud networking and Site Reliability Engineering (SRE) principles will be essential for success in this position. As part of our dynamic engineering team, you will contribute to the design, development, and deployment of highly scalable applications, and work closely with cross-functional teams to implement cloud solutions and improve infrastructure reliability.