Engineer Jobs

About The Position

Requirements

• At least 6 years of experience in SRE, production engineering, or infrastructure software engineering supporting large-scale, highly available environments.
• BS/BTech in Computer Science, Engineering, Physics, Mathematics, or equivalent experience.
• Strong software development skills, with expertise in Python and/or Go, and the ability to design, build, and own production-quality tools and services.
• Deep knowledge of Kubernetes, Linux systems administration, and/or container technologies; experience handling large-scale bare-metal and cloud infrastructure.
• Demonstrated experience building data center automation tools for OS provisioning, image deployment, patching, packaging, and configuration management.
• Experience with CI/CD tooling and infrastructure-as-code workflows.
• Strong understanding of observability practices, including metrics, logging, distributed tracing, and alerting design.
• Excellent communication skills and the ability to present technical work persuasively across multifunctional teams.

Nice To Haves

• Built and delivered automation or reliability platforms at large scale, measuring impact through machines handled, incidents prevented, or hours of toil eliminated.
• Approach production problems as an application developer would a build: consider architecture initially, automate fully, and improve the system before moving on.
• Passion for investing in groundbreaking technology and ability to learn new systems quickly.
• Demonstrated ability to debug and optimize code, reduce system-level toil, and drive measurable reliability improvements through software.
• Experience with DCIM systems and asset database design and implementation.

Responsibilities

• Design and build production-grade automation frameworks, workflows, and data models to reduce manual operational work across provisioning, patching, image deployment, telemetry, and change management at large scale.
• Engage in the complete lifecycle of services, from deployment to incident response and long-term reliability improvement.
• Develop software tools and platforms that integrate data center systems, including DCIM, alerting and observability stacks, compute, storage and networking control planes, and CI/CD pipelines.
• Monitor and handle large-scale GPU and Kubernetes production environments, using observability tools such as Grafana, OpenTelemetry, and PagerDuty to detect, prevent, and resolve incidents.
• Build predictive and auto-healing systems by integrating incident-analysis insights into automated break-fix and self-remediation solutions.
• Participate in on-call rotations and sustainable incident response, including blameless postmortems and systematic root-cause-focused improvements.
• Scale systems sustainably through code by developing automation and self-service tools that improve reliability and engineering velocity.

Benefits

• Highly competitive salaries and an extensive benefits package.
• Eligible for equity and benefits.