Lead Engineer - DevOps & Platform Engineering

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, Software DevelopmentIndustries

Requirements

Candidates should have 10+ years of experience in DevOps, SRE, or Platform Engineering roles with hands-on experience in GCP and Azure, Kubernetes, ArgoCD, Crossplane, Terraform, Helm, and Kustomize. A strong understanding of CI/CD automation, GitOps workflows, multi-tenant architecture, and infrastructure standardization is required, along with experience in observability tools like Grafana, Prometheus, Loki, and InfluxDB. Deep knowledge of DevSecOps, security-by-design, and compliance automation, plus proven leadership experience and excellent communication skills are essential. Nice to have experience with GenAI/LLMs in engineering workflows, policy-as-code, compliance frameworks, and fast-paced, product-led engineering environments.

Responsibilities

The Lead Engineer will lead the vision and implementation of platform engineering strategy across GCP and Azure, designing and scaling multi-tenant Kubernetes infrastructure with security and configurability at the core. They will own and evolve CI/CD pipelines using ArgoCD, Crossplane, Terraform, Kustomize, and Helm, implementing GitOps workflows for consistent deployments. Responsibilities include improving infrastructure reuse, reducing environment sprawl, optimizing cost efficiency, building observability frameworks, championing DevSecOps by embedding compliance and security as code, and developing reusable templates, internal tools, and self-service capabilities to boost developer productivity. The role also involves collaborating with product leaders and architects to align infrastructure goals with business outcomes and mentoring engineers to promote a culture of automation, excellence, and continuous improvement.

Skills

DevOps

Platform Engineering

GCP

Azure

Kubernetes

ArgoCD

Crossplane

Terraform

Helm

Kustomize

CI/CD

GitOps

Multi-tenant architecture

Infrastructure standardization

Grafana

Prometheus

Loki

InfluxDB

DevSecOps

SRE

Mineral

Develops AI tools for sustainable agriculture

About Mineral

Mineral.ai develops technology solutions aimed at improving the agriculture industry. The company utilizes perception technology, artificial intelligence (AI), and machine learning (ML) to create tools that help farmers, researchers, and agricultural advisors increase crop yields, manage pests, and adapt to climate change. Their products include precision agriculture tools that optimize resource use and advanced data analytics platforms that provide insights from agricultural data. Unlike many competitors, Mineral.ai focuses on creating partnerships within the agriculture sector to co-develop solutions, enhancing their product offerings. The goal of Mineral.ai is to support sustainable food production and help feed the world more efficiently.

Mountain View, CaliforniaHeadquarters

N/AYear Founded

VENTURE_UNKNOWNCompany Stage

Food & Agriculture, AI & Machine LearningIndustries

51-200Employees

Risks

Transition from Alphabet may lead to financial instability and resource loss.

Licensing model could reduce control over technology application and revenue stability.

Difficulty in monetizing technology indicates challenges in creating durable revenue streams.

Differentiation

Mineral.ai uses AI and ML to revolutionize agriculture with precision tools.

The company partners with industry leaders like Driscoll's for real-world technology applications.

Mineral.ai's licensing model allows broad integration into existing agribusiness systems.

Upsides

Licensing model increases market reach and technology integration in agribusiness.

Partnerships with companies like Driscoll's enhance technology application and sustainability goals.

Growing interest in agrivoltaic systems offers new partnership opportunities for Mineral.ai.

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