Senior Lead Software Engineer- Manager

JPMorgan Chase & Co.
Palo Alto, CA, United States
23 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$175,750.0 - $260,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Automation of Tests Content Delivery Networks Software Quality Code Review Data Systems Disaster Recovery Network Topologies Python (Programming Language) Machine Learning Systems Development Life Cycle
+17 more
Reliability Engineering Prometheus Secure Coding Software Engineering Datadog Enterprise Software Applications Load Balancing Snowflake Grafana AI Coding Agents Pyspark Kubernetes Data Management Splunk Code Restructuring Dynatrace Databricks

Job description

As a Senior Lead Software Engineer at JPMorgan Chase within Enterprise technology AI/ML Data Platforms team, you will be instrumental in building scalable, resilient and market-leading data solutions. You will engage in root cause analysis, production changes, budgetary considerations, and staffing challenges. Your experience will be vital in managing and mentoring team members to drive strategic change, both within your team and in partnership with colleagues across JPMorgan Chase & Co.’s global network of innovators., * Expertise in application development and support with multiple technologies such as Databricks, Snowflake, AWS, Kubernetes, etc.

  • Coordinate incident management coverage to ensure effective resolution of application issues.
  • Collaborate with cross-functional teams to perform root cause analysis and implement production changes.
  • Mentor and guide team members to foster innovation and strategic change.
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
  • Develop and support AI/ML solutions for troubleshooting and incident resolution.

Requirements

  • Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform
  • Proficiency in running production incident calls and managing incident resolution.
  • Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others
  • Strong understanding of SLI/SLO/SLA and Error Budgets
  • Proficiency in Python or PySpark for AI/ML modeling.
  • 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
  • Must be able to reduce toil by building new tools to automate repeated tasks.
  • Hands-on experience in system design, resiliency, testing, operational stability, and disaster recovery
  • Understanding of network topologies, load balancing, and content delivery networks.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls., * 10+ years in an SRE or production support role with AWS Cloud, Databricks, Snowflake or similar Technologies.
  • AWS, Snowflake or Databricks certifications.
  • Awareness of risk controls and compliance with departmental and company-wide standards.
  • Ability to work collaboratively in teams and build meaningful relationships to achieve common goals.

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the company

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management., Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

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