Top Software Engineer Jobs in India

Build and ship production-ready software using AI-native engineering practices. Develop Java full-stack applications, scalable web services, and distributed systems; lead architecture, design, implementation, testing, debugging, and code reviews. Work with cloud infrastructure, DevOps, databases, big data, and AI technologies. Provide technical direction, improve system quality, mentor developers, support customers, and collaborate across teams to deliver secure, high-quality software.

Lead the design and delivery of production-ready SaaS software using AI-native engineering practices. Provide technical direction, oversee complex projects, mentor engineers, establish architecture and technology standards, and collaborate with product and business stakeholders. Build and maintain cloud-based applications using .NET, DevOps, CI/CD, containers, infrastructure as code, and database technologies. Drive AI modernization, automation, LLM adoption, innovation, quality, security, and alignment with product strategy.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Design, implement, test, debug, and improve scalable web services and distributed systems. Lead architecture and code reviews, support cloud SaaS infrastructure and CI/CD, improve software quality and security, and collaborate with cross-functional teams. The role also includes mentoring developers, evaluating new technologies, preparing technical documentation, and translating AI and LLM innovation into business and productivity improvements.

Build and ship production-ready AI-native software, primarily using .NET full-stack technologies. Lead architecture and technical direction for SaaS products, oversee project delivery, mentor engineers, and collaborate with stakeholders. The role requires expertise in cloud platforms, CI/CD, Docker, Kubernetes, infrastructure as code, databases, security, AI modernization, LLMs, and software design. The engineer will also drive innovation, product delivery, and cross-functional technical decisions.

Build and ship production-ready software using AI-native engineering practices. Provide architectural direction, lead technical design and governance, mentor engineers, conduct code reviews, and improve system reliability, scalability, and quality. Develop modern systems using .NET, microservices, REST APIs, cloud, DevOps, infrastructure as code, and AI/LLM technologies. Collaborate with product, engineering, and executive stakeholders to align technical initiatives with customer and business outcomes.

Lead the architecture, development, and delivery of production-ready SaaS software using AI-native engineering practices. Guide technical direction, oversee complex projects, mentor engineers, collaborate with stakeholders, and drive innovation. Develop .NET full-stack solutions using cloud platforms, CI/CD, containers, infrastructure as code, databases, and security best practices. Translate AI, LLM, automation, and modernization initiatives into business and productivity improvements while balancing product goals and delivery outcomes.

Lead architectural direction for AI-native, production-ready software development. Collaborate with product and engineering teams on technical designs, governance, platform convergence, reliability, scalability, and feature delivery. Mentor developers, conduct code reviews, improve engineering processes, and communicate with executive stakeholders. Design and implement modern systems using .NET, microservices, REST APIs, cloud platforms, DevOps, infrastructure as code, and AI technologies including LLMs.

Lead the design, development, and delivery of production-ready SaaS software using .NET and AI-native engineering practices. Provide technical direction, oversee complex projects, mentor engineering teams, guide architecture and technology decisions, and collaborate with product and business stakeholders. Build cloud-native solutions using AWS or other cloud platforms, CI/CD, containers, infrastructure as code, databases, and security best practices. Drive AI modernization, LLM adoption, innovation, and continuous improvement across the software lifecycle.

Build and ship production-ready software using AI-native engineering practices. Provide architectural direction, lead design sessions, conduct code reviews, drive governance and platform convergence, and mentor engineering teams. Design scalable systems using modern languages, microservices, REST APIs, cloud, DevOps, infrastructure as code, and AI technologies. Collaborate with product managers, executives, and cross-functional teams to improve software quality, reliability, delivery, and business impact.

Develop and maintain production-ready Java full-stack software using AI-native engineering practices. Design scalable web services, implement and test software, improve code quality, troubleshoot distributed systems, and participate in architecture and code reviews. The role includes cloud infrastructure, CI/CD, security, data systems, technical documentation, customer support, and mentoring developers. Candidates should contribute to technical direction, cross-functional delivery, AI modernization, and continuous improvement.

Lead the design, development, and delivery of production-ready SaaS software using .NET and AI-native engineering practices. Provide technical direction, architecture guidance, project oversight, mentorship, and stakeholder collaboration. Drive cloud, DevOps, CI/CD, containerization, infrastructure as code, security, database architecture, and AI modernization initiatives while translating innovation into business impact.

Leads the design, development, and delivery of production-ready SaaS software using AI-native engineering practices. Provides technical direction, architecture, project oversight, mentorship, and cross-functional collaboration. Requires .NET full-stack expertise, cloud platforms, DevOps, CI/CD, containerization, infrastructure as code, databases, security, and AI modernization experience. The role also drives product vision, innovation, technical decisions, and delivery of complex software projects.

Lead the design, development, testing, and support of scalable Java-based software and web services. Guide architecture and technical direction, maintain code quality, mentor engineers, conduct reviews, and drive cloud, DevOps, AI modernization, and distributed-systems initiatives. Collaborate across teams, investigate emerging technologies, resolve technical issues, and translate AI capabilities into business and productivity improvements.

Build and ship production-ready software using AI-native engineering practices. Provide architectural direction, design scalable systems and APIs, lead governance and modernization initiatives, conduct code reviews, mentor engineers, and collaborate with product and engineering stakeholders. The role requires expertise in .NET full-stack development, microservices, cloud, DevOps, infrastructure as code, AI, LLMs, reliability, security, and multi-cloud environments.

Lead the design, development, testing, and support of scalable Java full-stack software and distributed systems. Establish technical direction, perform architecture and code reviews, improve existing codebases, mentor engineers, and drive cloud, DevOps, AI modernization, and software quality initiatives. Collaborate across functions, support customers, investigate emerging technologies, and translate AI innovations into business and productivity gains.

Leads architecture and software engineering for AI-native, production-ready applications. Provides technical direction, design governance, code reviews, mentoring, and cross-functional collaboration. Designs scalable systems using modern languages, microservices, REST APIs, cloud platforms, DevOps, infrastructure as code, and AI/LLM technologies. Drives platform convergence, reliability, security, continuous improvement, and modernization initiatives while translating AI innovation into business impact.

Build and lead production-ready SaaS software using AI-native engineering practices. The role requires setting technical direction, designing cloud-based applications, overseeing delivery, mentoring engineers, collaborating with stakeholders, and driving AI, automation, DevOps, and modernization initiatives. Responsibilities include architecture, software development, CI/CD, containerization, infrastructure as code, security, data architecture, product ownership, and translating AI innovation into business impact.

Lead architectural direction for AI-native, production-ready software. Design scalable and reliable systems, guide technical specifications and governance, support cloud and AI modernization, conduct code reviews, mentor engineers, and improve engineering processes. Collaborate with product, engineering, and executive stakeholders to deliver features using .NET, microservices, REST APIs, DevOps, cloud, automation, and LLM technologies.

Principal-level engineer responsible for designing, building, testing, and maintaining scalable Java full-stack software and cloud services. Leads architecture and implementation, improves code quality, performs code and design reviews, mentors developers, and drives cloud, DevOps, and AI modernization initiatives. The role requires expertise in distributed systems, big data, SaaS infrastructure, CI/CD, testing, security, and LLM-enabled engineering, along with strong cross-functional communication and independent decision-making.

Build and maintain production-ready Java full-stack software using AI-native engineering practices. Responsibilities include designing scalable web services, implementing and testing software, conducting architecture and code reviews, debugging distributed systems, improving code quality, supporting customers, researching technologies, and mentoring developers. The role requires experience with cloud infrastructure, DevOps, CI/CD, databases, security practices, big data, machine learning, and AI modernization initiatives.

Build and ship production-ready AI-enabled software, primarily using .NET full-stack development. Lead architecture and technical direction for SaaS products, oversee project delivery, mentor engineers, collaborate with product and business stakeholders, and drive cloud, DevOps, AI modernization, automation, and engineering-toolchain initiatives. Ensure software quality, security, compliance, scalability, and continuous improvement across the development lifecycle.

Build and ship production-ready software using AI-native engineering practices. Provide architectural direction, design scalable systems and APIs, guide governance, improve reliability, mentor developers, conduct code reviews, and collaborate with product and engineering stakeholders. The role requires .NET full-stack development, modern programming languages, microservices, cloud and DevOps experience, infrastructure as code, AI and LLM knowledge, and familiarity with AWS and Azure.

Leads the design, development, testing, and maintenance of scalable Java full-stack software and cloud-based distributed systems. Defines technical architecture, conducts code and design reviews, improves system quality, supports production issues, evaluates emerging technologies, and mentors developers. The role drives AI-native engineering, cloud, DevOps, and modernization initiatives while collaborating across product, customer support, and engineering teams.

Lead the design and delivery of production SaaS software using AI-native engineering practices. Guide architecture and technology choices, mentor engineering teams, oversee projects from concept through production, and collaborate with product and business stakeholders. The role requires hands-on .NET full-stack development, cloud platforms, DevOps, CI/CD, containerization, infrastructure as code, database architecture, security practices, AI modernization, and LLM expertise.

Leads the design, development, testing, and maintenance of scalable enterprise software and cloud services. Establishes technical direction, develops Java full-stack solutions, drives architecture and code reviews, improves system quality, and mentors engineers. The role applies AI-native engineering practices, supports DevOps and cloud modernization, integrates distributed and big-data systems, and collaborates with cross-functional teams to deliver reliable, secure, high-performance products.