About this role
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 implementation and best practices 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 AWS services including EC2, ECS, EKS, ELB, S3, Lambda, API Gateway, Glue, EMR, ElastiCache, CloudWatch, and CodeDeploy.Infrastructure provisioning expertise using advanced Terraform techniques, including implementing and configuring AWS RDS and Aurora.Experience administering, optimizing, and supporting Linux-based environments, and ensuring 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 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.Experience using enterprise-authorized AI coding assistants to improve code quality and delivery speed, while validating outputs through peer review, automated testing, and secure coding standards.Exposure to cloud platforms such as AWS, Azure, and/or GCP.Exposure to large language models (LLMs), such as ChatGPT and Google Bard or similar tools.Exposure to LLM application patterns and tools, 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; review and debug others code to ensure reliability, performance, and maintainability.Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while enforcing validation standards and promoting reusable patterns.Apply SDLC toolchain knowledge, including 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, improving application and systems stability.Lead evaluation sessions with external vendors/startups and internal teams to assess architectural designs, technical capabilities, and fit with existing systems and information architecture.Build scalable feature engineering and data pipelines on Databricks using data lake sources, Spark/Delta, and Databricks workflows/jobs.Provide technical support during software development, debug environment-specific issues, and partner 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.Contribute reusable AI-assisted engineering patterns and learnings to improve team effectiveness. Technologies: AIAPIAWSLambdaAzureBashBitBucketChatGPTCI/CDCloudCloudWatchDatabricksDatadogDevOpsDockerDynatraceEC2Fine-tuningGCPGitGrafanaGraphQLSupportJIRAJavaJenkinsKubernetesLLMLinuxMongoDBPostgreSQLPythonRAGSecurityServiceNowSparkSplunkTerraformmicroservices More:
We offer an opportunity to advance your software engineering career as a Software Engineer III – DevOps/AWS Engineer in our Commercial & Investment Bank, within Payments Technology. You will join an agile team delivering trusted, secure, stable, and scalable technology products in support of our business objectives. We are a global financial services leader providing strategic advice and products to prominent corporations, governments, wealthy individuals, and institutional investors. Our client-focused approach is built on trusted, long-term partnerships, and we recognize that the diverse talents of our people contribute directly to our success. We are an equal opportunity employer, value diversity and inclusion, and provide reasonable accommodations for religious practices and beliefs, as well as mental health or physical disability needs. Our Consumer & Community Banking division serves Chase customers with personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. We lead the U.S. in credit card sales and deposit growth, offer widely used digital solutions, and rank first in customer satisfaction.
last updated 39 week of 2026