Job Description – Tech Lead (Polyglot Full Stack & Intelligent Systems)

We are seeking a highly capable Tech Lead with strong experience in full stack software development, cloud-native platforms, industrial system digitization, and intelligent software solutions. The ideal candidate will be a polyglot engineer with the ability to work across multiple technologies, platforms, and system layers spanning software, embedded integration, cloud, and AI-enabled systems. This role is ideal for engineers passionate about building scalable software platforms that bridge physical systems, embedded devices, cloud infrastructure, and intelligent applications.

Role Overview As a Tech Lead, you will lead the design, development, and integration of intelligent software platforms connecting embedded systems, industrial hardware, cloud infrastructure, and modern applications. You will work closely with multidisciplinary teams across software, firmware, hardware, AI, and systems engineering to build next-generation connected and intelligent solutions.

Key Responsibilities

Technical Leadership

• Lead technical execution and software development activities across scalable platforms
• Mentor junior engineers and drive engineering best practices
• Provide technical guidance across full stack, cloud, embedded, and integration domains
• Collaborate with cross-functional engineering teams and stakeholders

Polyglot Software Development

• Develop and maintain applications across multiple programming languages and technology stacks
• Design scalable backend services, APIs, and distributed systems
• Build modern frontend applications and real-time operational dashboards
• Work across cloud, edge, and embedded-integrated software platforms

Full Stack & Cloud Platforms

• Design and develop scalable full stack applications and distributed systems
• Build backend services, APIs, telemetry systems, and operator interfaces
• Design cloud-native and edge-integrated architectures
• Support edge-to-cloud communication and synchronization workflows

Industrial System Digitization

• Convert physical and industrial systems into software-driven intelligent platforms
• Develop integrated solutions connecting hardware systems with cloud and software applications
• Work on industrial automation, telemetry, diagnostics, and remote monitoring systems

Hardware-Software Integration

• Collaborate across software, firmware, and hardware engineering teams
• Integrate embedded systems, sensors, communication modules, and cloud platforms
• Support real-time data acquisition and control systems

Observability & Reliability

• Implement observability and monitoring frameworks using tools such as:
• Prometheus
• Grafana
• OpenTelemetry
• Improve reliability, diagnostics, and operational visibility

CI/CD & DevOps

• Collaborate with platform engineering teams to help maintain CI/CD pipelines and automated deployment workflows
• Support automated testing and release engineering practices
• Contribute to scalable DevOps and infrastructure automation

AI & Intelligent Systems

• Mandatory experience using AI-powered coding assistance tools as part of the software development workflow
• Exposure to developing AI-enabled solutions and integrating AI models into software platforms
• Experience working on intelligent or autonomous AI systems is preferred
• Exposure to AI solutions in naval, autonomous, industrial, or edge environments is an added advantage

Security & Secure Systems Engineering

• Work with cross-functional teams to contribute to secure software architecture and implementation for connected and intelligent systems
• Implement security best practices across cloud, edge, embedded, and distributed platforms
• Drive secure communication and data protection mechanisms across integrated systems
• Support secure deployment, authentication, authorization, and access-control strategies
• Collaborate with engineering teams to identify, assess, and mitigate cybersecurity risks
• Participate in secure software lifecycle and vulnerability management activities
• Ensure reliability and security of telemetry, remote access, and device management systems
• Support secure OTA (Over-the-Air) software and firmware update mechanisms
• Contribute to security monitoring, observability, and incident response readiness

Required Skills & Experience

Core Technical Skills

• Strong experience as a polyglot software engineer
• Strong experience in full stack software development
• Hands-on experience with cloud-native and distributed systems
• Strong proficiency in Python
• Experience with JVM-based technologies such as Java

Frontend & Backend

• Experience building modern web applications and backend services
• Knowledge of APIs, microservices, and distributed architectures

Cloud & Infrastructure

• Experience with:
• Docker
• Kubernetes
• Cloud platforms (AWS/Azure/GCP)

Database Technologies

• Strong SQL knowledge
• Experience with relational databases
• Experience with PostgreSQL is optional

Industrial & Integrated Systems

• Experience working with industrial, embedded, or connected systems
• Understanding of telemetry, real-time communication, and edge systems
• Experience integrating physical systems with software platforms

Observability & DevOps

• Hands-on experience with observability and monitoring tools
• Experience with CI/CD and automation pipelines

Leadership & Collaboration

• Experience mentoring junior engineers
• Strong communication, ownership, and problem-solving skills

Good to Have Domain Knowledge

Experience working in uncrewed vehicle domains and connected platform ecosystems such as:

• UAV (Uncrewed Aerial Vehicles)
• UGV (Uncrewed Ground Vehicles)
• USV (Uncrewed Surface Vehicles)

Exposure to robotics, industrial automation, connected mobility, or intelligent naval systems is an added advantage.

Preferred Candidate Profile

• Strong systems-thinking mindset
• Comfortable working across software, hardware, cloud, and industrial domains
• Passion for intelligent systems and emerging technologies
• Ability to translate complex physical systems into scalable software solutions
• Self-driven with strong technical ownership and leadership qualities

Education

• Bachelor’s or Master’s degree in:
• Computer Science
• Electronics
• Robotics
• Embedded Systems
• Mechatronics
• Related Engineering disciplines

Keywords

Tech Lead, Polyglot Engineer, Full Stack Developer, Intelligent Systems, Industrial IoT, Robotics, Cloud Platforms, Edge Computing, Python, Java, Kubernetes, Docker, Observability, Prometheus, Grafana, CI/CD, Embedded Systems, Hardware-Software Integration, Telemetry Systems, AI Solutions, AI Models, Edge AI, Autonomous Systems, Industrial Automation, PostgreSQL, UAV, UGV, USV

If you are interested, please mail your updated resume to hr-india@eproeplled.com or anithak@epropelled.com

Pay: ₹100,000.00 - ₹200,000.00 per year

Benefits:

• Food provided
• Health insurance
• Paid sick time
• Paid time off
• Provident Fund

Work Location: In person