Top Software Engineer Jobs in India

Design, develop, and enhance custom software solutions using Microsoft Azure Analytics Services. Collaborate with stakeholders to translate requirements into technical specifications, build scalable architectures, integrate and transform data, optimize performance, and maintain existing applications. The role also involves documenting technical changes, participating in team discussions, independently solving problems, and mentoring junior team members.

Design, build, configure, and optimize enterprise applications using Oracle Enterprise Data Management to meet complex business requirements. Collaborate across teams, troubleshoot software issues, improve processes, make technical decisions, coordinate delivery, and mentor junior team members. The role requires expertise in application design, data governance, scalability, and cross-functional software solution delivery.

Configure and support packaged and SaaS applications, integrate machine learning models, manage releases, monitor performance, troubleshoot issues, document configurations, and collaborate with stakeholders to implement application enhancements and ensure system stability.

Develop and enhance custom software components using modern frameworks and agile practices. Design scalable solutions, troubleshoot complex technical issues, integrate across system environments, and collaborate with multiple teams. Serve as a subject matter expert, contribute to team decisions, lead process improvements, and mentor junior engineers. The role requires strong SAP Ariba expertise and SAP Master Data Migration experience.

Design, develop, and maintain scalable C#/.NET microservices in an Agile team. Build REST APIs, deploy to Kubernetes using Helm, follow CI/CD practices, resolve bugs, implement feature enhancements, and improve development processes to deliver high-quality supply-chain software.

Develop and maintain responsive web applications using Angular, TypeScript, HTML, CSS, and RxJS. Build reusable UI components, integrate REST APIs, implement testing, troubleshoot performance issues, participate in code reviews, and collaborate with UX/UI, backend, QA, architecture, and product teams in an Agile/Scrum environment.

Leads the design, development, configuration, and integration of software applications, serving as a subject matter expert and primary contact. Coordinates across teams, makes technical decisions, solves complex problems, facilitates stakeholder communication, mentors junior engineers, and drives continuous improvement in development processes.

Develop and enhance custom software solutions using Python, modern frameworks, and agile practices. Design scalable system components, write maintainable code, debug and test applications, optimize performance, and support system integration. Serve as a subject matter expert, make team decisions, collaborate across teams, lead process improvements, mentor junior engineers, and coordinate project deliverables.

Designs, develops, tests, operates, and maintains full-stack software products using Pega. The role owns production-ready code, contributes to architecture and code reviews, and ensures scalability, reliability, security, compliance, and performance. Responsibilities include Agile and DevOps practices, prioritizing work, communicating blockers, supporting continuous improvement, and contributing to digital transformation initiatives. The engineer will develop and integrate complex software solutions, particularly for financial services, credit card, and collections systems.

Design, develop, and maintain scalable .NET-based SaaS inventory management modules. Work across backend, database, and occasional frontend layers, implement APIs, optimize SQL, perform code reviews, mentor junior engineers, and improve performance, reliability, and test coverage in an agile environment.

Design, develop and maintain high-performance mainframe payment systems using COBOL, DB2, CICS, JCL and TWS. Lead technical solutions, drive automation and quality initiatives, coordinate across teams and present project metrics. Mentor junior engineers and support full lifecycle Agile development.

Design, develop, test, and operate scalable APIs and distributed backend services. Contribute to system architecture, production support, secure coding, testing, observability, automation, and operational improvements. Collaborate with Product, Architecture, Security, and SRE teams while owning services independently and maintaining engineering standards.

Develop and maintain secure, high-quality software components for Mastercard’s unified UI platform. Responsibilities include coding, testing, deployment, troubleshooting, refactoring, automation, API integration, release pipeline orchestration, and architecture understanding. The engineer will contribute to Agile processes, conduct demos, improve operational metrics, promote engineering standards, review code, mentor team members, and collaborate with product owners to deliver reliable, accessible customer experiences.

Designs, executes, and maintains UI, API, backend, and integration tests across systems, services, data flows, and dependencies. Establishes QA standards, supports automation and performance validation, troubleshoots complex technical issues, reviews source code, and integrates testing into CI/CD pipelines. Collaborates with product and engineering teams throughout the SDLC, manages requirements and release readiness, provides technical guidance, and communicates quality risks and insights to stakeholders.

Design, build, and operate scalable batch, streaming, CDC, and lakehouse data pipelines for post-payment audit, supplier reconciliation, payment integrity, and finance analytics. Develop curated datasets, data models, quality controls, observability, and production data products using Python, SQL, PySpark, Flink, dbt, Kafka, and cloud platforms. Support anomaly detection, machine learning, and GenAI workflows through feature pipelines, embeddings, retrieval-ready data stores, and automation. Partner with Finance, Audit, Product, Data Science, and Engineering teams.

Leads design, development, testing, deployment, and architecture of scalable cloud-based software and microservices using Python and Next.js. Conducts design and code reviews, establishes quality standards, collaborates with product and business teams, mentors engineers, supports technical decisions, and contributes to product roadmaps. The role requires building enterprise-grade solutions with Kubernetes, cloud platforms, CI/CD, observability, databases, security practices, and modern AI-assisted development tools.

Build and scale Twilio Segment data pipeline systems processing hundreds of thousands of data points per second. Responsibilities include designing high-scale routing and ingestion systems, operating distributed cloud services, collaborating cross-functionally, communicating technical decisions, mentoring engineers, and participating in on-call support and reliability improvements.

Develop and maintain AI/GenAI features across the product lifecycle: data collection, preprocessing, model training, evaluation, deployment. Build APIs, unit and integration tests, collaborate on CI/CD, and work with SQL/NoSQL databases and MLOps tooling to deliver scalable, secure solutions.

Build and maintain scalable, high-performance Java backend applications for institutional securities technology. Responsibilities include developing Spring Boot microservices, REST APIs, messaging integrations, distributed systems, SQL solutions, CI/CD pipelines, DevOps practices, observability, performance tuning, and scalability improvements. The role also integrates LLMs and agentic AI workflows, including multi-agent orchestration, tool calling, RAG, reliability safeguards, and evaluation processes.

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.

Lead DigitalOcean’s AI security strategy, roadmap, and risk governance framework. Define security controls for AI products, conduct threat modeling and adversarial red-team testing, and oversee detection, guardrails, inference, and model monitoring. Review AI architectures, guide high-risk decisions, engage external security communities, and brief executives and the board. Translate AI security research and emerging threats into engineering practices, organizational policies, and investment priorities across customer-facing cloud and ML systems.

Leads development of scalable AI/ML platforms and developer experiences. Designs APIs, SDKs, libraries, microservices, and tools; integrates GenAI capabilities including LLMs, RAG, agents, orchestration, inference, and evaluation. Builds observability, monitoring, safety, and responsible AI capabilities using cloud, distributed systems, databases, containers, and Kubernetes. Partners across product, design, data science, and engineering teams, supports platform users, explores emerging technologies, and mentors engineers.

Design, develop, and operate secure public cloud platform services. Lead cloud platform engineers, establish scalable and maintainable architecture patterns, automate infrastructure and CI/CD processes, manage platform security controls, monitor application quality, reduce technical debt, and mentor team members. Collaborate with product, operations, security, and technology leadership in an agile environment.

Leads the architecture, development, deployment, and support of enterprise full-stack applications using Java, Spring Boot, React, microservices, REST APIs, and Kafka. Establishes technical standards, leads design and code reviews, mentors engineers, and delivers cloud-native solutions using Docker, AWS, and CI/CD. Collaborates across product, architecture, QA, and DevOps teams while improving development practices through AI-assisted tools.

Lead architecture and cloud modernization efforts: gather requirements, design solutions, refactor and lift-and-shift legacy apps to cloud, guide engineering teams, build MVPs and proofs-of-concept, implement CI/CD and DevOps practices, and troubleshoot performance and production issues.