Tech Lead (Polyglot Full Stack & Intelligent Systems)

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 synchronisation
  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, micro services, 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
  
• Mechatronic
  
• 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