As a Director of Software Engineering in Corporate Technology, you will lead feature teams in Glasgow, ensuring their work aligns with our vision and goals. You will oversee project delivery, coordinate tasks across teams, and uphold the highest engineering standards. Your role involves mentoring engineers, collaborating with stakeholders, and making strategic decisions that shape our technology landscape. You will help build a culture of innovation and continuous improvement.
Job Responsibilities:
- Lead feature teams in Glasgow, ensuring alignment with our vision and goals
- Design, develop, test, and deploy software products using diverse technologies
- Ensure software quality, reliability, security, and performance through best practices
- 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
- Document issues and resolve bugs efficiently
- Collaborate with Engineering Leads, Product Owners, Solutions Architects, and stakeholders to deliver user-focused solutions
- Mentor, coach, and provide feedback to engineers for skill and performance growth
- Evaluate and recommend new technologies, tools, and methodologies
- Create and maintain technical documentation and reports
Required Qualifications, Capabilities, and Skills:
- Bachelor’s or Master’s degree in computer science, software engineering, or related field
- Fluency in cloud-native architecture and design across systems
- Strategic thinking and passion for business strategy and processes
- Ability to make sound architecture decisions based on enterprise principles and operational characteristics
- Strong knowledge of software engineering principles, methodologies, and best practices
- Strong attention to detail and ability to manage multiple projects and stakeholders
- Functional and object-oriented programming skills with expertise in Scala, Java, and Python, and open-source frameworks such as Apache Spark
- Familiarity with software engineering and project management tools such as Git, Jira, and Agile
- 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.
Excellent problem-solving, analytical, and debugging skills
Preferred Qualifications, Capabilities, and Skills:
- Experience with cloud platforms such as Databricks
- Experience with data analysis and machine learning tools and frameworks
- Certifications in software engineering, project management, or related fields
- Experience building on emerging cloud serverless managed services
- Experience implementing security solutions for data storage and processing in the cloud
Skills Required
- Bachelor's or Master's degree in computer science, software engineering, or related field
- Fluency in cloud-native architecture and system design
- Ability to make sound architecture decisions based on enterprise principles and operational characteristics
- Strong knowledge of software engineering principles, methodologies, and best practices
- Strong attention to detail and ability to manage multiple projects and stakeholders
- Functional and object-oriented programming skills with expertise in Scala, Java, and Python, and open-source frameworks such as Apache Spark
- Familiarity with software engineering and project management tools such as Git, Jira, and Agile
- Experience leading adoption of agentic AI-enabled engineering practices, defining operating expectations and measuring outcomes
- Strong understanding of responsible AI use, data sensitivity, resiliency/security implications, and governance
- Excellent problem-solving, analytical, and debugging skills
- Experience with Databricks
- Experience with data analysis and machine learning tools and frameworks
- Certifications in software engineering, project management, or related fields
- Experience building on emerging cloud serverless managed services
- Experience implementing security solutions for data storage and processing in the cloud
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
-
Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
-
Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
-
Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
Gallery







