Pi-Square Technologies

Pi-Square Technologies

Sr DevOps Engineer

Santa Clara, California, USA · Senior · full-time

Sponsorship not specifiedDetected 56 days ago
PythonBashDistributed SystemsPostgreSQLMongoDBRedisAWSKubernetesTerraformHelmCI/CDLinuxPrometheusGrafanaDevOpsSite Reliability EngineeringPlatform EngineeringTemporalAI OrchestrationProduct ManagementAgileArgo CD

About the role

  • Establish baseline deployment mechanisms for the site-builder application and related services.
  • Standardize Kubernetes application packaging and deployment patterns, with a strong preference toward Helm-based lifecycle management for complex services and third-party components.
  • Migrate existing deployments to Helm charts where appropriate.

Responsibilities

  • Platform Deployment & CI/CD Design, implement, and maintain CI/CD pipelines for testing, staging, and production environments.
  • Build and maintain deployment workflows that support safe and seamless promotion across environments.
  • Improve and maintain Argo-based deployment workflows to enable controlled release progression from test to staging to production.
  • Kubernetes & Runtime Platform Engineering Support the deployment and ongoing operation of services running in Kubernetes.
  • Partner with development teams to define production-grade runtime requirements, resource sizing, restart policies, and platform support boundaries.
  • Infrastructure as Code & Cloud Services Design and implement fully declarative Infrastructure as Code for managed cloud services, especially in AWS.
  • Provision and maintain managed data services such as RDS/PostgreSQL and MongoDB-compatible document databases across all environments.
  • Data Services, Snapshots & Developer Enablement Setup and maintain RDS, MongoDB, Redis/cache services, and related dependencies for all environments.
  • Build tooling and operational processes for: production and staging database snapshots, restoring snapshots into development environments, enabling local debugging and development from realistic data states.
  • Support creation of local and development environments, including Minikube-based environment-as-code approaches that mirror production behavior as closely as practical.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • 7+ years of experience in DevOps, Platform Engineering, SRE, or Infrastructure Engineering roles.
  • Strong hands-on experience with Kubernetes in production environments.
  • Strong experience with ArgoCD, GitOps workflows, or equivalent deployment tooling.
  • Strong experience with Helm and Kubernetes package/deployment lifecycle management.
  • Experience with AWS managed services, especially RDS/PostgreSQL, document databases, and related infrastructure.
  • Strong experience with Infrastructure as Code, such as Terraform and/or similar declarative tooling.
  • Experience with Prometheus, Grafana, and modern observability practices.
  • Experience with Redis/cache services, secrets management, and operational debugging.
  • Proven ability to work cross-functionally and operate effectively in environments where ownership boundaries are still evolving.

Nice to have

  • Experience with Temporal deployment and production operations.
  • Experience supporting developer platforms with local environment reproducibility using Minikube, kind, or similar tools.
  • Experience with MongoDB / DocumentDB operations and restore workflows.
  • Experience integrating with Nautobot, NetBox, or similar infrastructure source-of-truth platforms.
  • Experience operating in shared-cluster environments with multi-team tenancy and constrained access models.
  • Experience designing platform patterns for internal products that must scale across regions or multiple deployment footprints.
  • Familiarity with network automation or infrastructure orchestration platforms is a plus.
  • Kubernetes deployments are standardized, maintainable, and production ready.

Skills

  • Improve platform reproducibility so engineers can quickly stand up close-to-production development environments.
  • Establish maintainable deployment patterns for Temporal using supported packaging and lifecycle management approaches.

Benefits

  • service and cluster utilization, CPU, memory, storage, IOPS / throughput metrics, database connections and session counts, cache hit / miss / coverage metrics, RDS and MongoDB utilization, service health and alerting.
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This listing is sourced directly from Pi-Square Technologies's careers page and normalized into a canonical job model.