Develop and maintain Kubernetes Operators in Go for automating cloud resources across AWS, Azure, GCP, and on-premise platforms. Design secure, scalable software solutions, troubleshoot operator and cloud-management issues, produce architecture artifacts, analyze data for system improvements, and contribute to agile engineering practices and technical communities.
As a Software Engineer III at JPMorgan Chase within the Public Cloud Engineering team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
This role will focus on developing Kubernetes Operators in Go to manage resources in an expanding Hybrid Multi Cloud environment. The team currently manages AWS, Azure and On-Premise platforms and is expanding to include GCP. Experience or interest in multi-cloud environments is highly valued.
Job Responsibilities
- Design, develop, and maintain Kubernetes operators using Go, with a focus on automating and managing cloud resources
- Troubleshoot and resolve issues related to Kubernetes operator functionality and cloud resource management
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyses, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts with applied experience in the field
- Hands-on practical experience in system design, application development, testing, and operational stability
- Practical experience with cloud services such as AWS, Azure, GCP and Private Cloud
- 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
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- An appetite for continual learning and professional development
Preferred qualifications, capabilities, and skills
- Proficient in coding in one or more languages, preferably including Go (Golang), Python or Java
- Experience developing in Go (Golang)
- A background in cloud or infrastructure automation
- Familiarity with Kubernetes architecture and resource management
- Interest in, or exposure to multiple cloud providers such as AWS, Azure, GCP and Private Cloud
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.
Similar Jobs
Financial Services
Designs and delivers complex enterprise UI features using React and TypeScript. Leads front-end architecture, component design, API integration, accessibility, performance optimization, automated testing, observability, and CI/CD improvements. Uses approved AI coding assistants with secure human validation. Produces architecture artifacts, analyzes application data, improves coding hygiene, and identifies opportunities to strengthen system reliability. May mentor engineers and lead technical initiatives across teams.
Top Skills:
Ci/CdClaude AiCypressJestNext.JsPlaywrightReactReact Testing LibraryTypescript
Financial Services
Develop and productionize Python-based machine learning and NLP systems, including APIs, distributed data processing, model lifecycle management, LLM applications, and agentic AI frameworks. Build secure, scalable software and architecture, validate AI-assisted development outputs, and improve systems using data insights. Responsibilities include responsible AI practices, observability, testing, governance, CI/CD, and collaboration in an agile financial-services environment.
Top Skills:
Agentic AiAi-Assisted Software Development ToolsAmazon EksApache AirflowArize Phoenix SdkAws BedrockCi/CdClaude SkillsDatabricksDatabricks JobsDelta LakeEmbeddingsFastapiFlaskGoogle AdkLimeLlmsMlflowModel Context Protocol (Mcp)NumpyOcrOpentelemetryPandasPrompt DesignPythonPyTorchRetrieval-Augmented Generation (Rag)Scikit-LearnShapSpacySparkSQLTensorFlowTool/Function CallingUnity CatalogVector Search
Financial Services
Develops secure, scalable software solutions using SQL, Python, ETL, and data transformation technologies. Designs applications, produces architecture artifacts, troubleshoots systems, and maintains high-quality production code. Analyzes large datasets to identify patterns and improve application architecture and coding practices. Uses AWS, Databricks, big data technologies, agile development, CI/CD, and enterprise-approved AI-assisted engineering tools while validating outputs for correctness, security, and performance.
Top Skills:
AirflowAWSCi/CdData MeshDatabricksETLGitJenkinsPythonSQLStash
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
