The Role
Leads the engineering function by owning technical strategy, architecture, roadmap, team development, scalable system delivery, cloud-native infrastructure, reliability, security, incident response, and engineering standards. Partners with Product and leadership to convert business needs into technical solutions while managing key initiatives and evaluating new technologies. The role requires substantial software engineering experience, technical leadership, team management, distributed systems expertise, and experience with AI/ML-driven platforms.
Summary Generated by Built In
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
- 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.
- 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.
- Experience in high-growth startup/scale-up environments.
- Exposure to AI/ML or data-heavy platforms.
- Experience building and scaling engineering teams.
Skills Required
- 8–12+ years of software engineering experience
- 3+ years in a technical leadership role
- At least 2 years working directly on AI/ML-driven products or platforms
- Experience managing and mentoring engineering teams
- Expertise in system design, microservices, APIs, and distributed systems
- Proficiency in Python, Java, or Node.js
- Experience with AWS or GCP, databases, Docker, Kubernetes, and CI/CD
- Strong communication, stakeholder management, and people leadership skills
- Experience in high-growth startup or scale-up environments
- Exposure to AI/ML or data-heavy platforms
- Experience building and scaling engineering teams
- React experience
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The Company
What We Do
Scimplify is a science-first company specializing in the end-to-end development and manufacturing of specialty chemicals, serving industries such as pharmaceuticals, agrochemicals, and industrial chemicals.
