Engineering Lead

Keka Technologies Private Limited; Bengaluru; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Keka Technologies Private Limited in Bengaluru seeks a seasoned Head of Engineering to lead architecture and teams, translating business goals into robust software solutions. You will drive standards, delivery, and governance across cloud-native platforms, AI-ready pipelines, and scalable microservices.

Ideal candidates have 8–12+ years in software, 3+ years in leadership, and strong AWS/GCP, Docker/Kubernetes, CI/CD experience.

Qualifications

• 8–12+ years of software engineering experience with 3+ years in technical leadership.
• Experience on AI/ML-driven products or platforms is advantageous.
• Strong expertise in system design, microservices, APIs, and distributed systems.
• Proficiency in Python, Java, or Node.js; React is a plus.
• Solid communication and people leadership skills.

Responsibilities

• Own the engineering roadmap, system architecture, and technical direction.
• Lead and mentor a team of engineers; participate in hiring and performance management.
• Design and build scalable, secure, and high-performance systems.
• Drive best practices, architecture reviews, and governance.
• Partner with Product and Leadership to translate business requirements into technical solutions.
• Own end-to-end delivery of key engineering initiatives.
• Drive cloud-native development using AWS/GCP, Docker, Kubernetes, and CI/CD.
• Ensure reliability, security, performance, and operational excellence.
• Lead critical production incidents and root-cause resolution.
• Evaluate new technologies and continuously improve engineering processes.

Skills

Leadership

System design

Microservices

APIs & distributed systems

Python/Java/Node.js

React

AWS/GCP

Docker/Kubernetes

CI/CD

Stakeholder management

Tools

React

AWS

GCP

Docker

Kubernetes

CI/CD

Job description

We are a specialty chemicals manufacturing company with a full stack solution from R&D to manufacturing and global supply chain of chemicals to 26+ countries. Headquartered in Bengaluru, India we cater to pharmaceutical, agrochemical, industrial chemicals, food, nutraceuticals and animal nutrition industries.

Our B2B fulfillment platform supports businesses globally in developing and manufacturing chemicals from lab to commercial scale. With a team of in-house R&D experts and scientists, we offer custom synthesis and route scouting services to support manufacturers in product development.

We are VC backed - here is a read . We are 450+ people strong and have entities in India, Japan, USA, UAE and Indonesia. We are currently exporting to over 17 countries from India.

• Own the engineering roadmap, system architecture, and technical direction.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and career development.
• Design and build scalable, secure, and high-performance systems.
• Drive engineering best practices, coding standards, architecture reviews, and technical governance.
• Partner with Product and Leadership to translate business requirements into technical solutions.
• Own end-to-end delivery of key engineering initiatives.
• Drive cloud-native development using AWS/GCP, Docker, Kubernetes, and CI/CD.
• Ensure system reliability, security, performance, and operational excellence.
• Lead critical production incidents and root-cause resolution.
• Evaluate new technologies and continuously improve engineering processes.

Required Qualifications

• 8–12+ years of software engineering experience, including 3+ years in a technical leadership role, with at least 2 years working directly on AI/ML-driven products or platforms
• Proven experience managing and mentoring engineering teams.
• Strong expertise in system design, microservices, APIs, and distributed systems.
• Proficiency in Python / Java / Node.js; React experience is a plus.
• Strong experience with AWS/GCP, databases, Docker, Kubernetes, and CI/CD.
• Strong communication, stakeholder management, and people leadership skills.

Preferred

• Experience in high-growth startup/scale-up environments.
• Exposure to AI/ML or data-heavy platforms.
• Experience building and scaling engineering teams.