About the Role

We are seeking a Senior DevOps Engineer to join our team in Bengaluru, India. This is a full-time position with a hybrid work model, allowing for remote flexibility. The ideal candidate will have 4-6 years of hands-on DevOps experience and a passion for building scalable AI infrastructure.

Responsibilities

• Architect and build infrastructure that addresses real business problems using the best technology available.
• Collaborate directly with engineering teams to create platforms that resolve deployment and scaling challenges.
• Engage in hands-on work with cloud infrastructure, CI/CD pipelines, AI/ML deployment platforms, and monitoring systems.
• Make informed trade-offs between perfect infrastructure and rapid shipping, prioritizing reliability.
• Work closely with developers, AI engineers, and business stakeholders to foster collaboration.
• Explore new DevOps and AI infrastructure patterns that could lead to innovative breakthroughs.
• Assist in team building by identifying and recruiting other talented infrastructure professionals.

Requirements

Core DevOps Excellence

• 4-6 years of hands-on experience managing production systems, preferably with exposure to AI/ML systems.
• Deep knowledge of cloud infrastructure, with experience designing and managing AWS or Azure environments.
• Proficiency in Infrastructure as Code tools such as Terraform, Ansible, AWS CDK, or Azure Bicep.
• Expertise in containerization technologies, particularly Kubernetes and Docker in production settings.
• Experience in CI/CD pipeline architecture using tools like Jenkins, CircleCI, or GitHub Actions.
• Strong scripting skills in languages such as Python or Bash for automation.
• Hands-on experience with monitoring and observability tools like Prometheus, Grafana, ELK Stack, or NewRelic.
• Understanding of infrastructure security best practices.

AI Infrastructure & Modern DevOps

• Familiarity with AI/MLOps and experience in deploying and scaling AI/ML systems.
• Experience building enterprise-grade infrastructure that meets real business demands.
• Awareness of cost optimization strategies for efficient cloud infrastructure.
• Knowledge of SRE principles and experience working within tight SLOs in customer-centric environments.

Business & Collaboration Skills

• Ability to collaborate across diverse teams, technologies, and business functions.
• Empathy for customer needs and understanding of how infrastructure decisions impact user experience and business outcomes.
• Excellent communication skills, capable of explaining technical concepts to non-technical audiences.
• Appreciation for how technology infrastructure drives business success.

Culture & Mindset

• Self-starter mentality, thriving in ambiguous environments without detailed specifications.
• Platform thinking with a focus on building reusable, scalable infrastructure solutions.
• Commitment to delivering high-quality results with speed and low defect rates.
• Continuous learner who stays updated on DevOps and AI infrastructure trends.

This Role is for You If

• You are a platform-minded engineer who enjoys building infrastructure that enables teams to ship faster.
• You are excited about AI infrastructure challenges, including deploying models and managing data pipelines.
• You want to take cutting-edge AI systems into reliable production infrastructure.
• You are interested in the business impact of infrastructure decisions, not just the technical aspects.
• You thrive in dynamic environments where resources are limited and problems are undefined.

This Role is NOT for You If

• You prefer a strictly defined role with clear boundaries between DevOps, SRE, and platform engineering.
• You require detailed specifications before starting to build infrastructure solutions.
• You need extensive guidance and structure to be productive.
• You are looking for a maintenance-focused position rather than one that involves building new systems.
• You prefer to specialize deeply in one area of infrastructure rather than being versatile across the stack.
• You are uncomfortable with rapid changes in direction and technology choices.

Additional Details

• Work Mode: Hybrid, mostly remote with flexibility when required.
• Travel: Nil to minimal.
• Skills Focus: AWS, Azure, Terraform, Ansible, Kubernetes, Docker, Jenkins, CircleCI, Python, TypeScript, Prometheus, Grafana, ELK Stack, NewRelic.