Similar Jobs
Financial Services
Leads software engineering teams delivering secure, scalable finance technology solutions. Responsibilities include Java and React development, system design, code review, troubleshooting, AWS and Terraform architecture, automation, operational stability, vendor evaluation, and enterprise-wide adoption of AI-assisted engineering tools. Establishes governance, security, resiliency, responsible AI practices, and measurable delivery improvements across multiple teams.
Top Skills:
APIsAWSAws EcsAws EksCi/CdClaude CodeCopilotDatabricksJavaMicroservicesReact JsSpring BootTerraformTypescript
Big Data • Cloud • Logistics • Machine Learning • Retail
Leads platform-level execution of software and AI/ML systems across multiple teams. Oversees shared infrastructure, development tooling, DevOps, CI/CD, cloud cost optimization, architecture, and system integration. Manages the full software development lifecycle, tracks engineering metrics, mentors engineers and managers, and aligns technical priorities with business goals. The role supports scalable, secure, high-availability data and intelligence platforms while driving continuous improvement and operational efficiency.
Top Skills:
Ai/MlAssistive TechnologiesCi/CdCloud ComputingDevOpsWcag 2.2 Aa
Big Data • Cloud • Logistics • Machine Learning • Retail
Leads platform-level execution of software and AI/ML systems across multiple engineering teams. Oversees shared infrastructure, DevOps, CI/CD, cloud-native architecture, cost optimization, system integration, and full software lifecycle delivery. Partners with product and data teams, guides architectural decisions, mentors engineers, manages stakeholders and technical initiatives, and drives system availability, scalability, maintainability, and continuous improvement.
Top Skills:
Ai/MlAssistive TechnologiesCi/CdCloud-Native ArchitectureDevOpsWcag 2.2 Aa
Leads multiple software engineering teams within Asset and Wealth Management, providing technical coaching, resource and budget oversight, and strategic delivery guidance. Establishes enterprise practices for AI-assisted engineering, SDLC automation, security, resiliency, validation, and reuse. Drives adoption of authorized AI tools, measures delivery outcomes, mitigates risks, collaborates with stakeholders, and develops engineering talent.
When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this.
As a Senior Manager of Software Engineering at JPMorganChase within the Asset and Wealth Management, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.
Job responsibilities
As a Senior Manager of Software Engineering at JPMorganChase within the Asset and Wealth Management, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.
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. Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
- 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.
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
- Experienced developer with a skillset that includes Java , AWS EKS, AWS ECS
- Formal cloud training or certification on software engineering concepts and applied experience. 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, Applicant Resiliency, and Security
- Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
- Experience with hiring, developing, and recognizing talent
Preferred qualifications, capabilities, and skills
- Experience working at code level (preferred)
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
