JPMorganChase Logo

JPMorganChase

Cloud Software Engineer III

Posted An Hour Ago
Be an Early Applicant
Hybrid
Plano, TX
Mid level
Hybrid
Plano, TX
Mid level
Develops and operates secure, scalable cloud software solutions for enterprise observability platforms. Responsibilities include application design, coding, testing, troubleshooting, architecture documentation, AWS infrastructure deployment, container orchestration, networking, Terraform automation, data analysis, and operational stability. The role also requires responsible use of AI-assisted development tools, adherence to secure coding practices, and collaboration within an agile environment.
The summary above was generated by AI
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 
As a Software Engineer III at JPMorganChase within the Chief Technology Office (cto)Enterprise Observability Platforms 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. 
Job responsibilities
  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • 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.
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, 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

Required qualifications, capabilities, and skills
 
  • Formal training or certification on software engineering concepts and 3+ years applied experience.
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • AWS architecture & core services — hands-on experience building in AWS with services like VPC, EKS, IAM, S3, Lambda, CloudWatch, KMS, ALB/NLB, Auto Scaling.
  • Hands-on experience deploying and operating containerized workloads on AWS ECS and/or EKS, including service orchestration, networking/load balancing, IAM/security, autoscaling, and troubleshooting in production.
  • AWS networking — VPC design (subnets, route tables, NAT/IGW), security groups/NACLs, Private Link/VPC endpoints, hybrid connectivity concepts (VPN/Direct Connect), DNS (Route 53).
  • Terraform — authoring reusable modules, workspaces, remote state/backends, state management, imports, lifecycle/meta-arguments, dependency design, and troubleshooting plans/applies.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills
 
  • Familiarity with messaging systems like Confluent Kafka, AWS MSK and related components such as Kafka streams, Connect, Schema registry.
  • Familiarity with streaming pipeline systems like Confluent Kafka, AWS MSK and related components such as Kafka streams, Connect, Schema registry.
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the TeamOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

JPMorganChase San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

Senior level
Healthtech
Provide technical leadership to design, develop, integrate, and support enterprise customer-data solutions using Salesforce Data Cloud and related cloud, API, and streaming technologies. Mentor junior engineers, collaborate with stakeholders, perform root cause analysis, and document solutions across front-end, back-end, and data layers.
Top Skills: APIsBack-End DevelopmentCalculated InsightsCloud Data ArchitecturesCustomer Data Platform (Cdp)Data GraphsData Model Objects (Dmos)Database TechnologiesEvent-StreamingFederated Data AccessFront-End UiKafkaMicroservicesSalesforceSalesforce Data CloudSecdevopsUnified Customer ProfilesZero-Copy Data Sharing
Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead go-to-market and commercialization for Property & Casualty Insurance B2B payment secular shift across North America. Drive issuer and distribution engagement, build pipeline, close deals, coordinate cross-functional stakeholders, support negotiations, track performance in SFDC, and create scalable SMB growth and sales enablement programs.
Top Skills: Sfdc (Salesforce)
6 Minutes Ago
Hybrid
158K-304K Annually
Senior level
158K-304K Annually
Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead go-to-market and commercialization for B2C Retail & Restaurants secular shift in North America. Build pipeline, engage issuers/acquirers, close deals, coordinate cross-functional stakeholders, drive SMB growth strategies, enable sales with client materials and training, and track performance using SFDC.
Top Skills: Sfdc (Salesforce)

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account