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Develop and maintain full-stack Java applications, backend services, REST APIs, microservices, and responsive user interfaces. Integrate data platforms and event streams, improve data quality and observability, and apply secure, scalable engineering practices. Responsibilities include testing, CI/CD, code reviews, performance tuning, production support, troubleshooting, system design, and responsible use of AI-assisted development tools.
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AirflowAngularCi/CdCSSDatabricksDockerGitGraphQLHiveHTMLJavaJavaScriptJwtKafkaKubernetesOauth2OpentelemetryOraclePostgresReactRestSnowflakeSparkSpringSpring BootSQLTypescriptVue
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Lead EMEA technical escalations for SaaS demo environments, diagnosing infrastructure failures, configuration drift, and service interruptions. Manage AWS EC2 instances and Systems Manager fleet operations, monitor system health, maintain SaaS tenants and integrations, and support identity configurations. Develop automation, test scripts, and orchestration playbooks to improve provisioning, reliability, and support efficiency. Partner with Sales Engineers and regional stakeholders while managing high-priority tickets and service-level targets.
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Lead the architecture, automation, operation, and scaling of database platforms across AWS and on-premises environments. Build infrastructure-as-code, self-service tooling, schema migration workflows, compliance controls, and reference implementations. Establish technical standards, mentor engineers, collaborate across software, data, and SRE teams, support audits, and participate in a 24/7 on-call rotation.
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Develop and maintain secure, scalable production software, primarily building large-scale user interfaces with React and TypeScript. Design application architectures, troubleshoot complex technical issues, analyze data, and improve code quality and system resilience. Use enterprise-authorized AI-assisted development tools responsibly for coding, testing, documentation, and automation. Collaborate within an agile team and contribute to engineering practices, emerging technology exploration, and an inclusive team culture.
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 Commercial & Investment Bank, 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 break down 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
- 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 and 3+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Proficient in coding in one or more languages
- Hands-on experience building production UIs with React and TypeScript in reasonably large-scale applications
- 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.
- 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.)
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
