Sr Lead Software Engineer - Python​/Java-AIML

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top‑notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the CIB Data & Analytics Platform and Engineering team, 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.

• Implements and delivers engineering solutions/tools and data products using cloud and on‑premises data, distributed computing and emerging technologies.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• Contributes through the full software development lifecycle including architecture, proofs of concept, prototyping, development, rollout and support.
• Prioritize solving customer requests and issue reports, participate in support coverage
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Adds to the team culture of diversity, equity, inclusion, and respect

• Formal training or certification on Computer Science / Engineering concepts and 5+ years hands on professional experience in building complex software systems in both private and public cloud environments (AWS)
• Degree in Computer Science, Computer Engineering, Mathematics, or a related technical field
• Advanced knowledge of software applications and technical processes with considerable in‑depth knowledge of application, data, cloud and infrastructure architecture disciplines.
• Advanced hands on skills in Java and or Python programming.
• Strong hands‑on experience with Postgre
  
  SQL, AWS Red Shift, Athena, Glue, Kafka and No
  
  SQL (Cassandra, Mongo
  
  DB).
• Experience with fundamental Dev Ops practices including CI/CD.
• Ability to tackle design and functionality problems independently. A self‑starter and thrive in a fast‑paced, agile setting.
• Have clear and effective verbal and written communication skills and ability to communicate seamlessly across tech and data scientist teams

• Excellent problem‑solving and analytical skills
• Containers and cloud proficiency including Docker, Kubernetes, AWS
• Hands on experience in building ETL/Data Pipeline and data lake platforms (e.g. Databricks, Spark/Hadoop, and Snowflake)
• Knowledge of workflow orchestration tools (e.g. Apache Airflow), integration technologies (e.g. Graph
  
  QL, REST)
• Experience building,deploying Machine Learning models, and the ML Lifecycle
• Advanced handon programming with Java