Senior Site Reliability Engineer – SRE, DevOps
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Job Description
Senior DevOps Engineer shaping infrastructure strategy, ensuring high-performing, scalable systems for AI workloads. Collaborating with Product, Engineering, and AI teams for operational excellence.
Responsibilities:
- Design and operate secure, scalable, and high-quality infrastructure that supports modern applications and advanced AI workloads
- Build and maintain robust automation across CI/CD pipelines, infrastructure provisioning, and operational processes to improve reliability and minimize manual effort
- Integrate AI-driven solutions into operational workflows to enhance efficiency, detect anomalies, and accelerate delivery
- Apply strong systems engineering practices, including monitoring, incident management, performance optimization, and capacity planning
- Establish and uphold DevOps best practices, ensuring reproducibility, testing, documentation, and operational excellence
- Communicate technical decisions clearly and collaborate cross-functionally to support predictable delivery and effective problem-solving
- Provide mentorship and technical leadership, raising the level of platform engineering, DevOps maturity, and overall engineering quality across the organization
Requirements:
- 6+ years of progressive experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, or Infrastructure Engineering.
- Strong, hands-on experience across multi-cloud environments (AWS, GCP, Azure), including expertise in networking, compute, storage, security, and cost optimization.
- Deep expertise in containerization and orchestration and extensive experience with Infrastructure as Code (IaC) (e.g., Terraform, Pulumi, CloudFormation).
- Experience supporting or deploying AI/ML workloads (e.g., model inference, vector databases, GPU workloads), or strong familiarity with the infrastructure requirements for these systems.
- Proven ability to design, build, and operate highly reliable, scalable production systems utilizing advanced Zero-Downtime Deployment Patterns (e.g., Blue/Green, Canary, progressive delivery, Preview Environments).
- Expertise in modernizing deployments via GitOps practices (e.g., ArgoCD, Flux) and building Self-Service Developer Platforms that enable engineering efficiency (e.g., environment automation, internal tooling).
- Experience implementing and managing Multi-Cloud API Gateways and Edge Routing solutions.
- Strong background in platform security, including secrets management, Identity and Access Control (IAM), and Runtime/Security Hardening.
- Solid understanding and practical experience with modern observability stacks.
- Excellent communication and collaboration skills with a proven ability to describe complex infrastructure decisions clearly and a background in mentoring engineers and driving improvements in engineering practices.
- Familiarity with modern programming languages like Node.js, NestJS, and Python is highly desirable for extending DevOps capabilities or integrating tooling.
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