Lead Software Engineer, AWS DataLake

4 weeks ago

Hyderabad, India JPMorgan Chase & Co. Full time
Description for Internal Candidates

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Lead Software Engineer at JPMorgan Chase on the CCB Data Lake AWS Software Engineering Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

8+ Years hands-on software engineering with Python and AWS public cloud Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within the AWS public cloud technical discipline 

Preferred qualifications, capabilities, and skills

Hands-on experience with Python Demonstrated AWS cloud expertise and hands-on AWS full stack software engineering experience Hands-on experience with AWS Lake Formation, AWS Glue, AWS Athena, EMR, AWS ECS, AWS EKS, AWS Fargate, AWS S3, AWS EC2 Working experience in Big Data platform technologies including HDFS, Hive, Yarn, Spark, or Kafka  Knowledge and working experience with testing, releasing, and CI/CD pipeline deployments into AWS using Bitbucket, Terraform, DataDog, ServiceNow Demonstrated strength in micro-services based software development engineering teams Demonstrated strength in applying DevSecOps and DevOps development practices Demonstrated ability to build self-service, self-healing, highly scalable and secure cloud software capabilities  Experienced with Agile development methodologies, processes, and procedures

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