Senior Manager, Core Infrastructure

Jobtailor; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Jobtailor is seeking an experienced engineering leader to steer a world‑class infrastructure team in Bengaluru. You will own cloud operations across global deployments, drive scalable, secure LLM infra, and champion reliability and cost efficiency.

You will partner with AI Labs and cross‑functional teams to ensure observability, disaster recovery, and incident response are industry leading. A track record of scaling systems and leading cross‑functional projects is essential.

Qualifications

• 14+ years hands-on infrastructure engineering experience.
• 6+ years in engineering management leadership.
• Deep cloud platforms expertise (AWS, GCP or Azure).
• Strong Kubernetes and IaC tooling knowledge (Terraform, Pulumi).
• Solid observability experience (Datadog, Sentry) and incident response workflows.
• Experience with CI/CD, networking and security at scale.
• Proven ability to design scalable, reliable systems.
• Excellent communication and collaboration, especially in incident management.

Responsibilities

• Lead and grow a team of engineers focused on infrastructure, networking, and platform reliability.
• Own cloud operations, scaling worldwide while ensuring high availability and performance.
• Partner with Harvey’s AI Labs to deliver scalable LLM model infrastructure across products.
• Build and harden a highly secure infrastructure foundation trusted by top firms and enterprises.
• Drive observability, cost optimization, disaster recovery, and security initiatives.
• Oversee infrastructure-as-code practices across the engineering org.
• Guide decision-making for container orchestration, service meshes, data infra, and more.
• Hire, grow, and retain engineers in a high-trust, high-impact environment.
• Collaborate cross-functionally to align infra work with product roadmap and company goals.
• Foster a culture of operational excellence and blameless incident response.

Skills

AWS

GCP

Azure

Kubernetes

Terraform

Pulumi

Datadog

Sentry

CI/CD

Incident Mgmt

Leadership

Cross-functional Leadership

Security

Tools

Terraform

Pulumi

GitHub Actions

Jenkins

Docker

Job description

Responsibilities

• Lead and grow a team of engineers focused on infrastructure, networking, and platform reliability.
• Own cloud operations, scaling worldwide while ensuring high availability and performance.
• Partner with Harvey’s AI Labs to deliver scalable, cost-efficient LLM model infrastructure across products.
• Build and harden a highly secure infrastructure foundation that the world’s top law firms and global enterprises can trust.
• Drive key initiatives around observability, cost optimization, disaster recovery, and infrastructure security.
• Oversee infrastructure-as-code practices across the engineering org.
• Guide technical decision-making for container orchestration, service meshes, data infrastructure, and more.
• Hire, grow, and retain exceptional engineers who thrive in a high-trust, high-impact environment.
• Collaborate cross-functionally to align infrastructure work with product roadmap and company goals.
• Foster a culture of operational excellence, blameless incident response, and continuous improvement.

Requirements

• 6+ years of engineering management experience and 14+ years of hands‑on infrastructure engineering.
• Deep expertise in cloud platforms (AWS, GCP, or Azure), Kubernetes, and infrastructure-as-code tooling (Terraform, Pulumi).
• Strong understanding of observability stacks (e.g. Datadog, Sentry) and incident response workflows.
• Experience with CI/CD, networking, and security principles at scale.
• A track record of designing and scaling systems with reliability and performance in mind.
• Excellent communication and collaboration skills, with a bias toward clarity and action, especially in incident management and customer communication.
• A systems mindset and passion for simplifying complex infrastructure.
• A track record of leading complex cross-functional projects and delivering measurable impact.
• Exposure to ML or LLM infrastructure is a plus.