Software Engineer III - DevOps & AWS

JPMorganChase; Glasgow; On-site; GBP 90,000 - 150,000; Full time

Job summary

J.P. Morgan is hiring a software engineer to design and deliver scalable solutions, leveraging Databricks, AWS, and a modern CI/CD toolchain. You will build secure production code, review peers, and drive AI-assisted engineering practices to improve quality and delivery speed.

The role emphasizes containerized deployments, data pipelines, and collaboration across teams to enforce secure coding standards and automated testing.

Qualifications

• Formal training or certification in software engineering with applied experience.
• Strong CI/CD and release management experience, including Jenkins and Spinnaker.
• Hands-on DevOps with Kubernetes and Docker, including deployment automation.
• Deep AWS experience across compute, storage, networking, security, and automation.

Responsibilities

• Design and deliver creative software solutions and troubleshoot complex problems.
• Develop secure, high-quality production code and review peers' work.
• Promote AI-assisted engineering practices to improve quality and speed, with secure validation.
• Apply SDLC toolchains to increase automation value and capabilities.
• Identify recurring issues and lead remediation to boost stability.

Skills

CI/CD

Kubernetes

Docker

AWS

Terraform

Python

Java

Databricks

Spark

PostgreSQL

Education

Software engineering certification

Tools

Jules

Jenkins

Spinnaker

Git/Bitbucket

Jira

ServiceNow

Datadog

Dynatrace

Grafana

Splunk

Job description

Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

Job Responsibilities

• Design and deliver creative software solutions, including development and technical troubleshooting; think beyond conventional approaches to build solutions and break down complex technical problems.
• Develop secure, high-quality production code; review and debug code written by others to ensure reliability, performance, and maintainability.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, accelerated test strategy, incident/root-cause analysis support), while enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns.
• Apply SDLC toolchain knowledge—including enterprise-authorized AI-assisted development and automation capabilities—to increase the value and impact of automation.
• Identify recurring issues and lead efforts to eliminate root causes or automate remediation to improve operational stability of applications and systems.
• Lead evaluation sessions with external vendors/startups and internal teams to assess architectural designs, technical capabilities, and fit within existing systems and information architecture.
• Build scalable feature engineering and data pipelines on Databricks using data lake sources, leveraging Spark/Delta and Databricks workflows/jobs.

Required Qualifications, Capabilities, And Skills

• Formal training or certification in software engineering concepts with applied experience. Strong CI/CD and release management experience, including best practices and implementation with tools such as Jules, Jenkins, and Spinnaker.
• Hands-on DevOps experience with Kubernetes and Docker, including deployment automation and containerized application development.
• Deep AWS platform experience across compute, storage, networking, security, provisioning, and automation. Hands-on with services including EC2, ECS, EKS, ELB, S3, Lambda, API Gateway, Glue, EMR, ElastiCache, CloudWatch, and CodeDeploy.
• Infrastructure provisioning expertise using Terraform (advanced techniques), including implementing/configuring AWS RDS and Aurora via Terraform.
• Administer, optimize, and support Linux-based environments; ensure high availability (“always on”) for production, CERT, and testing environments.
• Database experience with PostgreSQL (including RDS/Aurora) and MongoDB; ability to write automation/operations scripts in Python and Bash. Databricks experience including Spark, Delta, notebooks, workflows/jobs, and performance tuning; familiarity with GraphQL.
• Provide technical support during software development, including debugging environment-specific issues and partnering with development teams to resolve them. Maintain and monitor asset inventory across environments.
• Monitor, troubleshoot, and remediate issues using Splunk and observability/monitoring platforms such as Datadog, Dynatrace, or Grafana. Support cost rationalization efforts; partner with architects to gather, clarify, and translate technical requirements.
• Proficient with engineering workflow tools such as Git/BitBucket, Jira, ServiceNow, and pre-commit hooks.
• Strong programming skills in Python and Java, including experience with distributed data processing.
• Leverage enterprise-authorized AI coding assistant tools to improve code quality and delivery speed (e.g., code generation/refactoring, unit tests, documentation), while validating outputs via peer review, automated testing, and secure coding standards; contribute reusable patterns and learnings to improve team effectiveness.

Preferred Qualifications, Capabilities, And Skills

• Exposure to cloud platforms (AWS, Azure, and/or GCP).
• Exposure to large language models (LLMs) such as ChatGPT and Google Bard (or similar).
• Exposure to LLM application patterns and tooling, including LangChain, retrieval-augmented generation (RAG), and fine-tuning.
• Experience communicating with and engaging senior leadership and other stakeholders.
• Preferred: experience building and supporting end-to-end AWS applications, including batch and streaming workloads.
• Familiarity with APIs and microservices frameworks, container technologies, and workflow/orchestration tools.

ABOUT US

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.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.