Director of Software Engineering (AIOps) - Executive Director

JPMorgan Chase & Co.
Glasgow, UK
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Java (Programming Language) Agile Methodology Artificial Intelligence Amazon Web Services Software Applications Automation of Tests Cloud Engineering Continuous Integration Database Queries Software Debugging Tivoli Management Framework Machine Learning
+13 more
Enterprise Messaging Systems System Center Operations Management Systems Development Life Cycle Reliability Engineering Prometheus Software Engineering Datadog Grafana Maintaining Code Apache Kafka Splunk Dynatrace Programming Languages

Job description

If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you., * Leads technology and process implementations to achieve functional technology objectives in the Observability Platforms space, providing essential services for Site Reliability Engineers, Operations and Engineers across the whole firm

  • Innovates, designs and delivers technical solutions that can be leveraged across multiple businesses and domains, this will include AIOps strategy for the future
  • Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives at scale.
  • Makes decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
  • Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
  • Influences peer leaders and senior stakeholders across the business, product, and technology teams
  • Champions the firm’s culture of diversity, opportunity, inclusion, and respect, 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. You need to sign in or create an account to save a job.

Requirements

  • Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
  • Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse.
  • Experience developing or leading teams of Java based developers, with a background in Java development. Demonstrated knowledge of software applications installation and configuration automation, through automation as code principles.
  • Formal training or certification on software engineering concepts and expert applied experience. In addition, advanced experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Demonstrated knowledge and implementation of AWS infrastructure or other cloud design and implementation, * Usage of large scale Observability Platforms (example products IBM Netcool, (Watson CloudPak AiOps), Tivoli, SCOM, SMARTS, Dynatrace, Splunk, Elastic, Prometheus, Grafana or Messaging systems for telemetry transport like Kafka, OTEL)
  • Formal training or certification on software engineering concepts and expert applied experience. In addition, advanced experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
  • Experience of researching and developing AIOps or ML solutions
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Experience with one or more observability platforms such as Prometheus, Grafana, Dynatrace, Datadog, Splunk etc.

About the company

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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