Lead Software Engineer - Platform Engineering

Role: Lead Software Engineer - Platform Engineering

Location: Chennai, India | Experience: 7 to 10+ Years | Job Type: Full-time | Function: Platform Engineering / Software Development.

Ramco conglomerate

Ramco Systems is part of the $1 billion+ diversified Ramco Group, a legacy enterprise with deep roots in industries such as cement, textiles, engineering, software, energy, and biotech. With over 75 years of heritage and innovation, the Ramco Group is a global powerhouse that blends traditional business values with modern technologies.

Ramco Systems is the Group’s technology arm, delivering next-gen enterprise software across Global Payroll, HR, Aviation MRO, ERP, and Logistics. Headquartered in Chennai, India, Ramco serves over 1,000 customers across 35+ countries and is recognized for its AI/ML-based, bot-enabled, and cloud-native solutions. Our platform is designed for digital operations—trusted by governments, Fortune 500 companies, and high growth enterprises alike.

If you're looking to be part of a company that combines innovation, global exposure, and a mission to disrupt legacy systems with intelligent enterprise applications—Ramco is the place to be.

We are not building for yesterday. We are building for what’s next.

At Ramco, AI is not a buzzword or a future plan, it is part of how modern engineering gets done today. We are looking for engineers who are naturally curious. People who experiment. People who are not intimidated by AI, but instinctively explore it. Curiosity cannot be trained into someone. It’s a mindset.

If you:

• Actively use AI-assisted tools to improve productivity.
• Leverage AI to enhance code quality and speed.
• Apply strong engineering judgment instead of blindly accepting outputs.

Think critically, build responsibly, and move fast Then you belong in this team. We want AI-cognitive engineers who see AI as a co-creator not a crutch. If you are driven to stay ahead of the curve and build superlative products, this is where you do it.

Key Responsibilities:

AI-Driven Engineering & Technical Leadership:

• Guides the team in responsible and effective use of AI-assisted development tools.
• Designs and prototypes AI-assisted workflows or features aligned with business needs.
• Understands the trade-offs between deterministic logic and AI-driven (probabilistic) systems.
• Evaluates cost, performance, and reliability implications when integrating AI services into enterprise systems.
• Mentors junior engineers on practical and responsible AI usage.
• Own product/feature development end-to-end—from design to production deployment.
• Ensure features are scalable, highly available, and meet quality standards.
• Collaborate with senior engineers and architects to refine designs and drive implementation.
• Lead cloud-scale, event-driven systems using tools like Kafka, RabbitMQ, and work with knowledge graphs (Neo4j).
• Build scalable microservices and design real-time data pipelines.
• Lead APIs-based inter-service communication using RESTful, GraphQL, WebSockets, etc.
• Ensure security, cloud optimization, and performance of applications by owning vulnerability fixes and cloud cost tuning.
• Execute project plans and delivery commitments with a balance of speed and stability.
• Contribute to hiring, mentoring, and nurturing technical talent; foster a high-performance engineering culture.
• Define test plans, author, automate, and execute test cases to meet quality gates.
• Take proactive ownership in production troubleshooting and system reliability improvements.
• Champion best practices in software engineering—security, maintainability, CI/CD, and performance.

Required Skills & Experience:

• 7 to 10+ years of professional software development experience.
• Minimum 3 years of experience in system design, architecture, and building scalable services.
• Proficiency in at least 1 programming language, 1 scripting language, and 1 frontend framework such as Java, Python, JavaScript, C#, or C++, Vue.js with TypeScript, Node.js, .NET Core.
• Demonstrated experience in interviewing, mentoring, and building high-performing engineering teams.
• Deep understanding of event-driven architectures with tools like Kafka, RabbitMQ, or equivalents.
• Strong database experience across both SQL and NoSQL systems.
• Hands-on experience with cloud-native services, containerization, and serverless deployments.
• Implementation of security best practices and direct ownership of vulnerability remediation.
• Ownership over testing metrics, including unit test automation, integration testing, code coverage, and performance/NFR compliance.
• Experience collaborating with product managers, architects, and delivery teams; should act as a trusted technical advisor to business stakeholders.

Preferred Qualifications:

• Proven technical leadership in guiding engineering teams and fostering excellence.
• Familiarity with patterns of performance optimization, distributed systems, and fault-tolerance.
• Deep understanding AI based expert systems
• Experience building data-driven systems with collaboration from data science and analytics teams.