Leads software engineering within an infrastructure platforms team, developing and operating secure, cloud-native solutions using Golang and/or Java, Kubernetes, and public cloud platforms. Provides technical guidance, reviews code, drives automated testing and validation, improves operational stability, evaluates architectures, and promotes reusable engineering practices. Leads responsible adoption of AI-assisted development tools while ensuring security, correctness, resilience, and compliance across the software development lifecycle.
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the Infrastructure Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
As a Senior Lead Software Engineer at JPMorgan Chase within the Infrastructure Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Build and operate cloud-native solutions using Kubernetes with strong systems fundamentals, on at least one cloud provider (AWS / GCP / Azure)
- Develop services primarily in Golang and/or Java (either or both)
- Produce secure, high-quality production code aligned to engineering best practices
- Review and debug code written by others while enforcing consistent validation standards (secure coding, peer review, automated testing)
- Drive consistent validation practices across the team to improve overall code quality and delivery outcomes
- Promote reuse of effective patterns and scalable approaches across the team to improve engineering efficiency
- Identify and implement opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability, and lead evaluation sessions with external vendors/startups and internal teams to assess architectural designs and technical fit within existing systems and information architecture
- 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
- 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.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s)
- 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
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- In-depth knowledge of the financial services industry and their IT systems
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Practical cloud native experience
Preferred qualifications, capabilities, and skills
- Spec Drive Development (SDD) experience is a plus
- Strong AI tool usage fluency (comfortable leveraging AI tools in day-to-day engineering workflows)
- Prior understanding of Cloud Governance is a plus
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develop predictive and prescriptive machine learning models, deploy and monitor them in production, and build scalable data services and MLOps workflows. Analyze complex datasets using Python, Spark SQL, Azure, Databricks, and MLflow; evaluate model performance and data drift; create technical architecture artifacts; conduct cost-benefit analyses; and communicate findings to technical and nontechnical stakeholders.
Top Skills:
SparkArtificial IntelligenceCi/CdDatabricksDevOpsHadoopMachine LearningAzureMlflowMlopsPythonRSpark SqlSQL
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the design, development, deployment, and monitoring of scalable AI/ML solutions. Oversees data preparation, feature engineering, model development, optimization, production pipelines, drift analysis, observability, and multi-cloud ML infrastructure. Collaborates with engineering, product, data science, and UX teams on technical architecture and governance. Mentors data scientists and ML engineers while ensuring explainability, responsible AI, reliability, and cost effectiveness.
Top Skills:
AWSAzureBigQueryDatabricksDataflowEventhubFeature StoresGoogle Cloud PlatformHadoopKafkaMlflowNumpyOnnxPandasPub/SubPysparkPythonPyTorchScikit-LearnSQLSynapseTensorFlowVector Databases
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads enterprise reporting, analytics, and data engineering strategy across Azure, AWS, and GCP. Designs scalable data platforms, dashboards, scorecards, self-service analytics, and executive reporting using Databricks, Spark, SQL, Power BI, and modern data technologies. Establishes governance, data quality, security, compliance, and operating standards; drives modernization, automation, AI-assisted analytics, and transformation initiatives. Partners with stakeholders and clients, mentors distributed teams, reviews technical work, and serves as a subject matter expert for reporting, business intelligence, and modern data platforms.
Top Skills:
SparkAWSAzureAzure Data LakeAzure SynapseCi/CdDatabricksEtl/EltGCPGenaiMachine LearningPower BIPythonSQLTableau
What you need to know about the Kolkata Tech Scene
When considering the industries shaping India's tech scene, gaming might not immediately come to mind. However, in the last decade, increased internet usage and greater access to mobile devices have catapulted the industry to new heights, with Kolkata-based companies like Virtualinfocom, Red Apple Technologies and Digitoonz, at the forefront, driving the design and animation of new gaming titles for players.
