Top Software Engineer Jobs in India

Develop and enhance custom SAP software components using SAP ABAP Cloud, modern frameworks, object-oriented programming, and agile practices. Design scalable, high-performing cloud solutions, integrate SAP systems with enterprise applications, and improve software quality and delivery. Serve as a subject matter expert, collaborate across teams, make technical decisions, coordinate cross-functional implementation efforts, and lead best-practice adoption.

Develop and enhance custom software components using SAP ABAP Cloud. Design scalable, high-performing solutions, integrate SAP with enterprise applications through middleware, and apply object-oriented programming in cloud environments. Lead implementation of software best practices, coordinate cross-functional teams, contribute to technical decisions, and manage team delivery. The role requires expertise in agile development, CI/CD practices, performance optimization, and at least 7.5 years of SAP ABAP Cloud experience.

Provision and operate highly available services on AWS and GCP using Kubernetes, Helm, and infrastructure-as-code. Design CI/CD pipelines, enforce deployment security compliance, optimize cloud costs, and support service architecture and reliability. Guide software engineers in DevOps practices while leveraging monitoring, automation, and emerging AI-driven infrastructure optimization techniques.

Leads development of secure, scalable data pipelines and software applications using Python, Spark, FastAPI, AWS, and Terraform. Designs, deploys, tests, troubleshoots, and maintains production data architectures, reviews code, improves operational stability, and evaluates architectural solutions with vendors and internal teams. Promotes responsible AI-assisted engineering practices, coaches team members on secure AI adoption, and contributes to agile team culture.

Designs, develops, tests, debugs, and maintains embedded software for Bare Metal and Linux environments using C, C++, and Python. Responsibilities include kernel configuration, driver development, secure coding, cybersecurity scan remediation, test-driven development, software verification, Agile collaboration, documentation, and cross-functional technical support.

Leads complex software engineering initiatives and designs scalable Java full-stack applications using Spring Boot and React or Angular. Defines architecture and engineering standards, develops REST and GraphQL APIs, integrates SQL and NoSQL databases, and supports cloud deployments and CI/CD pipelines. Mentors engineers through code reviews and technical direction while promoting application security, reliability, observability, SRE practices, and operational excellence in Agile/Scrum environments.

Leads complex software engineering initiatives and develops scalable Java full-stack applications using Spring Boot and React or Angular. Defines architecture and engineering standards, builds RESTful and GraphQL APIs, integrates SQL and NoSQL databases, and supports cloud deployments, CI/CD, observability, and production operations. Mentors engineers through code reviews and technical direction while collaborating with product, UX, and QA teams in Agile/Scrum environments.

Lead software engineering initiatives involving Java and Apache Spark. Design, develop, test, debug, document, upgrade, and deploy technology solutions; create and maintain Iceberg tables; evaluate technical challenges; ensure architectural and coding standards; gather requirements; collaborate with partners; and guide less experienced engineers.

Lead the architecture, deployment, and evolution of large-scale generative AI platforms and intelligent agent systems. Build secure MCP servers and high-performance containerized AI workloads using Docker and Kubernetes. Define enterprise AI engineering standards, optimize inference latency and memory through quantization and KV-cache techniques, and partner across teams to deliver scalable, observable, production-ready AI capabilities.

Leads software engineering within an agile team, designing, developing, testing, debugging, and operating secure, scalable production applications. Provides technical guidance, reviews code, influences product and technical decisions, and serves as a subject-matter expert. Drives adoption and governance of AI-assisted engineering practices, automation, secure coding, testing, and SDLC frameworks. Requires advanced Java and Python expertise, cloud-native experience, independent problem-solving, and the ability to coach engineering teams on responsible AI usage.

Leads Java microservices engineering and coordinates tactical and strategic testing roadmaps across cross-product teams and partners. Drives defect closure, stakeholder communication, progress reporting, coordinated sign-off, and process improvement. Collaborates with technology peers and product owners to translate requirements into technical designs and deliver software using Spring Boot, REST, cloud-native, DevOps, Agile, and container technologies.

Leads backend software engineering within an agile financial-services technology team. Designs, develops, tests, troubleshoots, and reviews secure, scalable production code using Java and Python. Drives adoption of approved AI-assisted development practices, establishes validation standards, automates recurring remediation, improves application resiliency, and evaluates vendor and architectural solutions. Requires strong SDLC, cloud-native, security, CI/CD, platform engineering, and financial-services technology expertise.

Leads agile software engineering efforts within JPMorganChase’s CTO organization. Designs, develops, tests, troubleshoots, and reviews secure, scalable Java and Python applications; improves operational stability through automation and remediation. Drives responsible adoption of AI-assisted engineering tools, establishes validation standards, coaches engineers on secure usage, applies SDLC and cloud-native practices, and evaluates vendor and startup technologies for architectural fit.

Leads an agile software engineering team building LLM-driven agent services and AI-assisted development capabilities on AWS. Designs multi-agent orchestration, communication layers, RAG solutions, SDKs, data pipelines, integrations, and cloud-native deployments. Drives responsible AI governance, secure engineering practices, automation, observability, and measurable validation standards. Provides technical leadership, mentorship, and independent problem-solving across product design, application functionality, and technical operations.

Designs, builds, and hardens identity and access systems for Rubrik’s on-premise data protection platform. Responsibilities include OIDC/OAuth and SAML integrations, token and assertion lifecycle management, cryptography and PKI, reverse-proxy components, customer issue resolution, cross-platform packaging, Windows application maintenance, end-to-end testing, documentation, and stakeholder communication.

Build and manage Adobe Journey Optimizer, Adobe Campaign Classic, and Adobe Experience Platform solutions for personalized omnichannel customer journeys. Responsibilities include campaign workflows, JavaScript and SQL development, data ingestion and transformation, XDM schemas, identity stitching, audience activation, APIs, microservices, integrations, analytics tracking, testing, troubleshooting, documentation, and privacy compliance.

Design and develop scalable, secure frontend web applications for connected embedded systems. Lead frontend architecture, collaborate with backend/embedded teams, implement device provisioning, telemetry visualization, and remote management UIs. Optimize performance, accessibility, and maintainability; mentor engineers, participate in reviews, and drive frontend best practices.

Create realistic computer-use tasks for AI agents on Linux desktops. Responsibilities include designing multi-step scenarios, preparing files and documents, writing agent instructions, developing Python setup and scoring scripts, testing environments, and documenting tasks. Requires Python, daily AI tool usage, basic AI/ML experience, Ubuntu and virtual machine familiarity, attention to detail, and Git basics. Experience building RL environments or computer-use benchmarks is preferred.

Design and build reinforcement-learning training environments and diverse tasks to evaluate and improve LLM agents; iterate rapidly on task designs from customer feedback, deliver high-quality outputs with minimal supervision, and maintain PST overlap for collaboration.

Design, develop, and maintain scalable test automation frameworks, internal tools, and utilities across web, native mobile, and API platforms. Apply AI/ML to improve test coverage, failure detection, and developer productivity. Perform root cause analysis, implement reliability fixes, optimize CI/CD workflows, and operate observability tooling such as Datadog and Splunk. Collaborate across teams, document technical initiatives, and drive improvements in quality, stability, and release efficiency.

Maintain, integrate, configure, test, deploy, and support procurement-related applications. Work with Agile teams, manage incidents and vendor relationships, enable AI-driven improvements, and perform middleware integrations and application configuration to meet business needs.

Develops and enhances custom software solutions using SAP HANA SQL modeling and development. Responsibilities include designing and optimizing database models, writing SQL scripts, tuning performance, troubleshooting issues, documenting solutions, collaborating with stakeholders, following agile practices, and mentoring junior team members.

Design, build, and maintain scalable full-stack, data-intensive applications and APIs using Java/Spring Boot, TypeScript, React, and Databricks/Spark. Contribute to architecture, performance tuning, testing, code reviews, and cross-team collaboration. Mentor teammates and support operational excellence for analytics-driven experimentation platform.

Own architecture and technical design for Workplace Service Delivery capabilities across employee self-service, request fulfillment, and CRM/field-service integrations. Translate complex requirements into precise specifications, orchestrate AI coding agents, and build verification harnesses with automated testing, evaluation suites, CI/CD gates, and security controls. Monitor production AI reliability, prevent prompt injection and data leakage, mentor senior engineers, and collaborate with product, UX, and platform teams. The role requires scalable enterprise software experience and strong AI-native engineering expertise.

Architect and develop security platform services supporting secrets and key management, identity and access management, onchain security, policy and risk management, and vulnerability management. Define technical roadmaps, build scalable cloud systems using Go or Java, manage project deliverables, mentor engineers, review designs, and maintain backend systems. The role requires solving complex technical problems, ensuring security and operational integrity, and collaborating with engineering, product, design, and leadership teams.