Senior DevOps Engineer

🕒 May 13

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Shuru

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

Shuru is a product, AI, and technology consulting firm that partners with businesses to deliver strategic consulting, full-cycle product and custom software development, and curated engineering team extension. Their AI-native engineering teams build scalable AI applications, data engineering and analytics, cloud/DevOps, and API integrations to modernize systems and accelerate product delivery. Shuru operates globally with a remote-first model and emphasizes high ownership, design thinking, and measurable outcomes for enterprise and startup clients.

📋 Description

• Help take cloud platform from pre-production to production readiness and scale. • Work closely with engineering and data teams to bring infrastructure under code. • Improve deployment pipelines, set up monitoring and alerting, and support production deployment of data pipelines and risk oracle workloads. • Assess and harden current platform setup primarily on GCP. • Bring infrastructure under Infrastructure-as-Code using Terraform or similar. • Standardize development, staging, and production environments. • Design and operate the platform's networking layer: VPC architecture, private connectivity, load balancing. • Lead decisions on workload management between Cloud Run and GKE. • Harden GitHub Actions pipelines. • Set up monitoring, logging, tracing, alerting, and dashboards across the platform. • Work with data teams to productionize data pipelines and risk oracle workloads. • Establish secrets management, audit logging, IAM, and access patterns.

🎯 Requirements

• 5+ years of DevOps, Platform, or SRE experience, ideally with at least 2 years working on GCP; experience with vertex ai, AWS or Azure is a plus. • Hands-on production experience with Infrastructure-as-Code tools such as Terraform, Pulumi, CDK, or similar. • Strong CI/CD experience, especially with GitHub Actions or similar. • Experience deploying and operating containerized services using Cloud Run, Kubernetes/GKE, ECS, or similar platforms. • Good judgment on when to use managed or serverless platforms versus Kubernetes or orchestrated approaches. • Experience operating production data and caching infrastructure, including Cloud SQL/Postgres, Redis/Memorystore. • Experience setting up production monitoring, logging, alerting, dashboards, and reliability targets. • Solid understanding of cloud security fundamentals, including IAM, secrets management, audit logging. • Experience with workflow orchestration or async task systems such as Temporal, Celery or similar. • Experience supporting ML or AI inference workloads in production, with hands-on experience across vector databases.

🏖️ Benefits

• Work on global projects with clients from worldwide. • Be part of a remote-first culture-work from anywhere with flexibility. • Enjoy team-building activities and regular outings. • Collaborate and grow in a supportive environment with opportunities to learn from senior engineers. • Competitive salary and benefits package.