Designs, develops, debugs, and maintains secure, high-quality production software. Produces architecture artifacts, leverages AI-assisted coding tools responsibly, applies SDLC/ADLC practices, builds data visualizations for improvement, and ensures application resiliency, testing, and operational stability.
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 Employee 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
- 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.
- Proficient in Python Language
- Overall knowledge of the Software Development Life Cycle and applicability of it using ADLC (Agentic Driven Life Cycle)
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Hands-on Knowledge of data engineering practices to support AI model training and deployment, including hands-on experience with libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras
- Exposure to cloud technologies - AWS
Similar Jobs
Financial Services
Design and deploy production-grade ML and GenAI solutions (LLMs, RAG, AI Agents). Align models to business goals, build scalable ML systems, validate models with evaluation frameworks, mitigate bias, integrate GenAI with enterprise platforms, and collaborate cross-functionally to drive data-driven decisions.
Top Skills:
Agentic WorkflowsAi AgentsAlgorithmsAPIsAutogenAWSAzureData MiningData StructuresGCPGenaiInformation RetrievalKerasKnowledge GraphsLangchainLanggraphLarge Language ModelsMachine LearningMxnetNeo4JNoSQLOpen SearchPrompt DesignPygPyTorchRagRdbmsScikit-LearnSdlcStatisticsTensorFlow
Big Data • Fintech • Information Technology • Insurance • Financial Services
Develop and maintain backend services and ETL pipelines using Python. Build and integrate RESTful APIs, work with MongoDB for data storage and queries, write tests, participate in code reviews, support CI/CD and deployments (Jenkins, AWS SAM), troubleshoot issues, and document solutions while collaborating with cross-functional teams.
Top Skills:
AWSAws LambdaAws SamCi/CdConfluenceETLFastapiFlaskGitJenkinsJIRAJSONLogging/MonitoringMongoDBPymongoPytestPythonRestful ApisServerlessUnittestXML
Big Data • Fintech • Information Technology • Insurance • Financial Services
Design and build responsive web applications and REST APIs using Node.js and modern front-end frameworks (React/Vue/Angular). Deploy and manage services on AWS EKS/Kubernetes via CI/CD, participate in design and code reviews, lead feature development, mentor junior engineers, and produce SDLC/DevOps-compliant artifacts.
Top Skills:
AngularAWSCi/CdConfluenceEksEslintGitJenkinsJestJIRAKafkaKubernetesNode.jsOauth2.0React HooksReactRest ApisVue
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
