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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformKubernetesOraclePostgresRedisSQLTerraform
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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.
ATS Keywords
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Hard Skills & Tools
DevOpsPlatform EngineeringSite Reliability Engineering (SRE)Infrastructure-as-CodeTerraformGitHub ActionsCloud RunKubernetesGCPCI/CD
Soft Skills
judgmentcollaborationleadership