Develop and maintain secure, scalable AWS cloud platforms using Python and Terraform. Build infrastructure automation, CI/CD pipelines, database-backed solutions, and production-grade software. Collaborate with SRE, security, risk, and operations teams to improve observability, compliance, and reliability. Lead responsible adoption of AI-assisted development tools, establish validation and security standards, and influence architecture and engineering practices across teams.
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 Corporate Technology 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
As a Software Engineer III at JPMorganChase within the Corporate Technology 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
- Implementation of key components of a public cloud platform, primarily on AWS.
- Develop secure, high-quality production code and infrastructure automation (primarily in Python and Terraform), and review and debug code written by others to ensure correctness, performance, and maintainability.
- Influence product design, application functionality, and technical operations within the team and domain by proposing pragmatic architectures, tradeoffs, and standards aligned to firm SDLC, security, and controls expectations.
- Partner with operations, SRE, security, risk, and controls stakeholders to deliver compliant solutions, improve observability, reduce operational toil, and ensure audit-ready processes and artifacts.
- Drive automation and CI/CD improvements, including pipeline reliability, quality gates, testing strategy, and repeatable environment provisioning to support safe and fast delivery.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- 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.
- Use AI-assisted developer tools, including GitHub Copilot and Microsoft Copilot, to accelerate routine engineering tasks (for example, scaffolding, small utilities, repetitive patterns, test generation, refactoring suggestions, and first-pass documentation), while ensuring all outputs are validated and refined to meet production and security standards.
-
Define and reinforce safe team usage patterns for AI-assisted development, including verification expectations (correctness, security implications, licensing/IP considerations, and compliance) and adherence to firm controls (for example, avoiding sensitive data in prompts and ensuring reviews and approvals occur before merge and release).
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 4+ years applied experience
- Hands-on practical experience in developing and designing software on AWS and GCP, with meaningful hands-on experience delivering solutions involving AWS database services and the infrastructure that supports them.
- Strong, practical proficiency in Python and Terraform, including building and maintaining production-grade automation and infrastructure as code.
- Advanced working knowledge of AWS and GCP services across traditional compute, containerized workloads, and serverless architectures, and how these patterns integrate with database services and platform guardrails.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Working experience with engineering toolchains including Jira, Bitbucket, and Confluence, and day-to-day development in IntelliJ IDEA and Visual Studio Code.
- Practical experience with SQL and/or NoSQL concepts as applied to managed AWS database services (for example, data modeling, performance considerations, availability patterns, backup/restore approaches, and operational troubleshooting).
- Practical familiarity with AI-assisted coding tools, including GitHub Copilot and Microsoft Copilot, including effective prompting for engineering tasks and disciplined verification of outputs before use in any code or infrastructure configuration.
- Clear understanding of responsible and approved AI tool usage, including adherence to firm controls, avoiding sensitive or confidential data in prompts, and applying engineering judgment to validate correctness, security posture, and compliance expectations.
Preferred qualifications, capabilities, and skills
- Experience influencing decisions across adjacent teams within the domain (for example, platform consumers, SRE/ops partners, or security/control partners) through clear technical proposals and collaborative execution.
- Prior experience with Amazon RDS (e.g., RDS SQL Server, PostgreSQL) is preferred.
- Experience building reusable Terraform modules and standardized infrastructure patterns, including guardrails, policy-aligned defaults, and composable platform building blocks.
- Experience operating AWS database platforms at scale, including monitoring/alerting design, performance and capacity management, backup/restore validation, and availability/failover considerations.
- One AWS certification preferred (for example, Solutions Architect, Developer, or Data Engineer), and Terraform Certified Associate certification preferred.
- Demonstrated use of Copilot in team workflows to improve delivery outcomes (for example, accelerating test coverage, refactoring, documentation/runbook drafting), with a strong understanding of LLM limitations and risks (for example, hallucinations, security concerns, and licensing/IP considerations) and consistent verification practices.
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
Similar Jobs
.png)
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Supervise the launch and daily operation of a card grading facility, overseeing receiving, research, encapsulation, quality control, imaging, invoicing, and shipping. Establish workflows, schedules, productivity goals, KPIs, and procedures while coaching, training, evaluating, and disciplining employees. Resolve customer submission discrepancies, support revenue and profit targets, collaborate cross-functionally, and occasionally travel to West Coast trade shows and events.
Top Skills:
ExcelMicrosoft Office 365Microsoft OutlookMicrosoft Word
Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
Perform penetration testing across applications, APIs, cloud environments, infrastructure, and client-side components. Identify, validate, score, and document vulnerabilities; support remediation and secure design with Engineering; triage bug bounty submissions; develop testing tools and scripts; and communicate findings to researchers, technical teams, and executives. The role also applies threat modeling, security frameworks, and emerging threat intelligence to improve organizational security.
Top Skills:
AuthenticationAuthorizationBsimmBurp SuiteC++CaidoCisCloud Security ArchitectureCryptographyCsaCvssDreadGoJavaKotlinLinuxNistOwaspPythonStrideTcp/IpUdpWindows
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, develop, and deploy full-stack cloud-native applications, microservices, AI-powered identity-risk solutions, Kafka pipelines, and enterprise portals. Manage PostgreSQL databases, Kubernetes, Docker, Terraform, CI/CD, security, and cloud infrastructure while collaborating with product, design, and security teams. Evaluate emerging AI and technology trends to improve architecture, automation, fraud detection, and identity-risk remediation.
Top Skills:
AIApache KafkaAWSDockerGithub ActionsJavaJenkinsJwtKubernetesMlNext.JsOauthPostgresReactSpring BootTerraformTypescript
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
