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Sr Manager of Software Engineering- Java, AWS

JPMorgan Chase
Bengaluru, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 2 weeks ago
awsazure

Full Job Posting

Job responsibilities

  • Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
  • Accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
  • Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.
  • Ensures successful collaboration across teams and stakeholders
  • Identifies and mitigates issues to execute a book of work while escalating issues as necessary
  • Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise.
  • Experience leading teams of technologists and Distributed systems & architecture depth: strong system design across APIs, microservices and/or event-driven architectures, data stores, and resiliency patterns; sound scalability/latency/fault-tolerance/consistency tradeoffs.
  • Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives and Cloud-native & platform engineering: practical experience building on AWS and/or Azure, including containerization and platform capabilities that enable reusable patterns.
  • Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.
  • Experience with hiring, developing, and recognizing talent
  • In-depth knowledge of the services industry and their IT systems
  • Practical cloud native experience

Preferred qualifications, capabilities, and skills

  • Understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
  • Familiarity with API and Micro services frameworks, Container Technologies, and workflow

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