Sr Lead Software Engineer-Big Data Developer

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and support top-notch Big-data technology solutions.

As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Technology LOB, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Much of our support and software development focuses on optimizing existing systems, building infrastructure, and reducing work through automation.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• Drives decisions that influence the product design, application functionality, and technical operations and processes.
• Serves as a function-wide subject matter expert in one or more areas of focus.
• Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle.
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies.
• Adds to the team culture of diversity, equity, inclusion, and respect.
• Ensure the data quality, SLAs for 100s of big-data pipelines running daily on-prem and AWS.
• Lead the troubleshooting, debugging, and fixing production issues. Provide timely communications to Business, Product, Modeling and Tech teams.
• Build automations and tools to reduce manual tasks and associated toil.
• Driving technology roadmap, reduce tech debt and work on Technology Lifecycle Management (TLM).

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Strong experience in Big Data development tool stack (Hortonworks, AWS), ETL data pipeline implementation.
• Strong development experience in Java, Python or Scala.
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (Big Data, cloud, machine learning)
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience
• Excellent debugging and trouble shooting skills.
• Experience in logging and monitoring tools such as Kibana, Splunk, Elastic Search, Dynatrace, AppDynamics, Kibana, Grafana, CloudWatch, Datadog etc.
• Experience in Continuous Integration & Continuous Deployment processes using tools such as Jenkins and spinnaker.
• Collaboration with global team including participation in daily scrum meetings, peer reviews and design sessions.

Preferred qualifications, capabilities, and skills

• In-depth knowledge of the financial services industry and their IT systems
• AWS Certification
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI / CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (., cloud, artificial intelligence, machine learning, mobile,
16 days ago