Tech Lead (Software & Intelligence)

We are seeking a highly capable Tech Lead with strong experience in full stack software development, cloud-native platforms, 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, cloud, and AI-enabled systems.

This role is ideal for engineers interested in about building scalable software platforms that bridge physical systems, cloud infrastructure, and intelligent applications.

As a Tech Lead, you will lead the design [R1] , development, and integration of intelligent software platforms connecting to embedded systems, and uncrewed vehicles using 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.

You will have the opportunity to learn about embedded software, manufacturing, drones and similar uncrewed vehicles .

· 7-10 years of software engineering experience

· 3+ years of technical leadership, architecture ownership, or platform ownership

· Proven experience leading engineers, mentoring team members, and driving technical execution

· Hands-on experience building production-grade cloud-native or distributed software platforms

· Experience working with connected systems such as IoT, telemetry platforms, embedded-integrated systems, industrial automation, remote monitoring, robotics, edge gateways, or hardware-connected software platforms

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, and integration domains

Collaborate with cross-functional engineering teams and stakeholders

Lead a team developing and maintaining 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 on-premises, cloud, and edge software 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

Collaborate across software, firmware, and hardware engineering teams

Support real-time data acquisition and control systems

Implement observability and monitoring frameworks using tools such as:

Prometheus

Grafana

OpenTelemetry

Improve reliability, diagnostics, and operational visibility

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

Exposure to developing AI-enabled solutions and integrating AI models into software platforms is preferred

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, and distributed platforms

Experience building modern web applications and backend services

Knowledge of APIs, microservices, and distributed architectures

Experience with developing for:

Docker

Kubernetes

Cloud platforms

SQL. experience

Experience with PostgreSQL is preferred

Exposure to NoSQL is preferred

Hands-on experience with observability and monitoring tools

Experience with CI/CD and automation pipelines

Experience mentoring junior engineers

Strong communication, ownership, and problem-solving skills

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.

Strong systems-thinking mindset

Comfortable working across software, hardware, and cloud domains

Interest in intelligent systems and emerging technologies

Strong technical ownership and leadership qualities

Bachelor’s or Master’s degree in one of:

Computer Science

Electronics

Robotics

Embedded Systems

Mechatronic

Related Engineering disciplines

Science

Candidates may not be suitable if their experience is limited to only one of the following areas without cloud-native platform depth and connected-systems exposure:

· Generic web application development

· E-commerce applications

· CRM platforms

· Banking or healthcare web applications

· SharePoint / M365-only development

· Basic Python development

· Internship-only embedded or IoT projects

· Junior full stack development without technical leadership

· Enterprise SaaS development without telemetry, IoT, edge, embedded, or industrial platform exposure

Tech Lead, Polyglot Engineer, Full Stack, Cloud, Python, Java, Docker, Observability, CI, CD, AI, SQL

Intelligent Systems, Industrial, IoT, Robotics, Edge Computing, Kubernetes, Prometheus, Grafana, Embedded Systems, Hardware-Software Integration, Telemetry Systems, Autonomous Systems, Industrial Automation, UAV, UGV, USV, PostgreSQL

[R1] design rather than architecture.