Lead Software Engineer
Aumni
Software Engineering
Hyderabad, Telangana, India
Posted on May 11, 2026
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Lead Software Engineer at JPMorgan Chase within the consumer and community banking technology team, you will be a senior technical leader responsible for driving the architecture, design, and delivery of enterprise-scale platforms and solutions. You will lead engineering teams, shape technical strategy, and champion innovation across full-stack development, cloud-native ecosystems, and emerging technologies including Generative AI. This role demands deep technical expertise, a passion for engineering excellence, and the ability to influence and mentor across the organization.
Job Responsibilities
- Define and drive the system design and architecture of enterprise-scale applications, ensuring scalability, resilience, security, and performance across the firm's technology landscape.
- Establish architectural standards, design patterns, and engineering best practices that align with JPMorganChase's strategic technology direction.
- Evaluate and adopt emerging technologies to maintain competitive advantage and operational excellence.
- Lead the development of high-performance, distributed platforms using Java, Spring Boot, and Event-Driven architectures (Kafka, event sourcing, CQRS).
- Drive full-stack development initiatives, encompassing backend services, APIs, and modern front-end experiences built with React and related UI/UX technologies.
- Architect and deliver solutions within hybrid cloud ecosystems, leveraging public cloud (AWS, Azure, GCP) and private cloud infrastructure.
- Champion container-based application development and orchestration using Kubernetes, Docker, and OpenShift within enterprise-grade ecosystems.
- Drive DevSecOps culture and practices, embedding security into CI/CD pipelines, infrastructure-as-code, automated testing, and deployment workflows.
- Ensure applications meet the firm's standards for security, compliance, and operational resilience.
- Lead the design and implementation of Agentic AI and Generative AI solutions, integrating large language models, AI agents, and intelligent automation into enterprise platforms.
-
Collaborate with data science and AI/ML teams to bring innovative AI-driven capabilities to production at scale.
Required qualifications, capabilities and skills:
Formal training or certification on software engineering concepts and 5+ years applied experience
- Deep expertise in Java, Spring Boot, and microservices architectures, including event-driven and message-based systems (e.g., Kafka, RabbitMQ).
- Proven experience in full-stack development with modern UI/UX frameworks, particularly React (including state management, component design, and responsive design).
- Strong experience architecting and deploying applications in hybrid cloud environments (AWS, Azure, GCP, and on-premises infrastructure).
- Extensive experience with container-based platforms (Docker, Kubernetes, OpenShift) and cloud-native development patterns.
- Demonstrated expertise in DevSecOps practices, including CI/CD pipeline design, infrastructure-as-code (Terraform, Ansible), automated security scanning, and observability.
- Experience designing and delivering Agentic AI and/or Generative AI solutions in enterprise environments.
- Proven track record of leading platform development and engineering teams, including hiring, mentoring, and performance management.
- Expert-level ability in system design and architecture of large-scale, distributed, enterprise applications with high availability and fault tolerance.
- Strong communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.
Preferred qualifications, capabilities and skills:
- Experience in the financial services industry or other highly regulated environments.
- Familiarity with AI/ML frameworks and tools (e.g., LangChain, LlamaIndex, OpenAI APIs, Hugging Face, TensorFlow, PyTorch).
- Experience with API gateway design, service mesh architectures (Istio, Envoy), and GraphQL.
- Knowledge of data engineering practices, real-time streaming, and analytics platforms.
- Experience contributing to or leading open-source projects.
- Advanced degree (MS or PhD) in Computer Science, Engineering, or a related field.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.