Software Engineer - DevOps

Salary: £61,000 - 101,000 per year

Requirements:

• 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 experience with EC2, ECS, EKS, ELB, S3, Lambda, API Gateway, Glue, EMR, ElastiCache, CloudWatch, and CodeDeploy.
• Infrastructure provisioning expertise using Terraform, including advanced techniques and implementing/configuring AWS RDS and Aurora via Terraform.
• Experience administering, optimizing, and supporting Linux-based environments, with high availability for production, CERT, and testing environments.
• Database experience with PostgreSQL, including RDS/Aurora, and MongoDB.
• Ability to write automation and operations scripts in Python and Bash.
• Databricks experience including Spark, Delta, notebooks, workflows/jobs, and performance tuning.
• Familiarity with GraphQL.
• Proficiency with Git/BitBucket, Jira, ServiceNow, and pre-commit hooks.
• Strong programming skills in Python and Java, including experience with distributed data processing.
• Exposure to cloud platforms such as AWS, Azure, and/or GCP.
• Exposure to large language models 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.

Responsibilities:

• Design and deliver creative software solutions, including development and technical troubleshooting, and break down complex technical problems.
• Develop secure, high-quality production code and 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 while enforcing consistent validation standards 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.
• 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 and partner with architects to gather, clarify, and translate technical requirements.
• Leverage enterprise-authorized AI coding assistant tools to improve code quality and delivery speed while validating outputs via peer review, automated testing, and secure coding standards; contribute reusable patterns and learnings to improve team effectiveness.

Technologies:

• AI
• API
• AWS
• Lambda
• Azure
• Bash
• BitBucket
• ChatGPT
• CI/CD
• Cloud
• CloudWatch
• Databricks
• Datadog
• DevOps
• Docker
• Dynatrace
• EC2
• Fine-tuning
• GCP
• Git
• Grafana
• GraphQL
• Support
• JIRA
• Java
• Jenkins
• Kubernetes
• LLM
• Linux
• MongoDB
• PostgreSQL
• Python
• RAG
• Security
• ServiceNow
• Spark
• Splunk
• Terraform
• microservices

More:

We are JPMorganChase, partnering directly with hackajob to hire for this Software Engineer III DevOps/AWS Engineer role within the Commercial & Investment Bank, particularly in Payments Technology. We offer an opportunity to take your software engineering career to the next level by designing and delivering trusted, market-leading technology products in a secure, stable, and scalable way. We operate with a first-class business in a first-class way approach, value diversity and inclusion, and provide reasonable accommodations where needed. Our Consumer & Community Banking division serves Chase customers across personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing, with leading digital solutions and strong customer satisfaction.

last updated 39 week of 2026