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Engineering Lead

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Onsite

Engineering Lead

Scimplify

Engineering Lead

Skills

Google Cloud PlatformDockerReactNodePythonJavaMicroservicesMachine LearningAIAWSKubernetesPerformance Management

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

19 September 2026

What they need


About Us 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.

Read to learn more ▶️ https://lnkd.in/gd7brT8S Key Responsibilities

  • 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.

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