Lead Software Engineer

5 days ago

Mumbai, Maharashtra, India JPMorgan Chase Full time ₹ 1,20,000 - ₹ 3,60,000 per year

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

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank - Securities Services Technology team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering reliable, market-leading technology products that are secure, stable, and scalable. As a key technical contributor, you will be responsible for implementing essential technology solutions across diverse technical domains, supporting various business functions to achieve the firm's business goals.

Job responsibilities

  • Leads and mentors a team of data  engineers and manage delivery using agile methodologies
  • Designs, develops and maintains scalable data pipelines, transform data to a  LDM supporting data analytics and business intelligence initiatives 
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
  • Involves designing, developing, and deploying solutions on AWS to solve complex business problems.
  • Collaborates with cross-functional teams to understand business requirements and formulate technical solutions.
  • Manages business stakeholders with product roadmap and delivery  

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Experience in data platforms like Databricks, Redshift etc.
  • Familiarity with AWS cloud platforms services like ECS, Lambda, Glue, Step Functions, SQS, RDS Aurora etc.
  • Working experience with Data Lake Architecture
  • Working experience with IaC like Terraform, Ansible etc.
  • Proficiency in programming languages such as Enterprise Java or Python, 
  • Experience in technologies like Spark and Kafka
  • Develop and deploy scalable Generative AI solutions.
  • Conduct research and experiments to explore new AI/ML techniques and methodologies.
  • Good Understanding of data privacy, security best practices, and compliance requirements to ensure safe and ethical use of LLMs.

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