Devops Engineer SR

Sagent

15h•Remote

About The Position

The Cloud Engineering team builds the foundation that every engineering team at Sagent runs on. We design and deliver internal platforms and products that make shipping to production fast, secure, and repeatable. Our team builds and operates shared infrastructure capabilities including a self-service Internal Developer Portal, a centralized CI/CD platform, reusable infrastructure modules, and policy-as-code enforcement that enables teams to move quickly without sacrificing safety. We are seeking a Cloud Infrastructure Engineer to support both infrastructure and application development teams working on a large-scale, event-driven microservices platform running on GKE. This role bridges platform engineering and application support: you will maintain and evolve GCP and Kubernetes infrastructure while partnering directly with development teams to unblock delivery, troubleshoot production issues, and continuously improve the paved road from code to production.

Requirements

5+ years of cloud or infrastructure engineering experience, including 3+ years of hands-on GCP experience
Strong production experience with GKE, VPC networking, IAM, Cloud SQL, Cloud Storage, and Artifact Registry
Advanced Terraform experience, including reusable module design, state management, and multi-environment patterns
Production Kubernetes expertise: Helm chart development and management, RBAC, resource tuning, and troubleshooting workloads at scale
Hands-on experience with Istio service mesh: sidecar injection, mTLS, VirtualServices, AuthorizationPolicies, and traffic management
Understanding of CNI fundamentals (Cilium/Dataplane V2), east-west traffic flows, and network segmentation
Experience with CI/CD pipeline development (Azure DevOps YAML pipelines or equivalent) and trunk-based development workflows
Hands-on experience with secrets management, including HashiCorp Vault (Kubernetes auth, agent injection) and GCP Secret Manager
Proficiency in scripting (Bash, Python, or Go) with the ability to write production-quality automation and tooling
Strong security mindset with experience implementing least-privilege IAM, certificate management, and policy-driven controls
Clear and effective communicator able to work across infrastructure and application development teams

Nice To Haves

Experience with event-driven architectures and Apache Kafka (Confluent Platform, Connect, consumer group management, KEDA-based scaling)
Experience with Redis Enterprise on Kubernetes (operator-managed clusters, Active-Active replication)
Familiarity with Grafana Cloud observability stack (Alloy, Loki, Mimir, Tempo, Pyroscope) and OpenTelemetry
Experience with GCP data services: Dataproc (Spark), Cloud Composer (Airflow), BigQuery, Pub/Sub
Familiarity with OPA/Rego or Kyverno for policy enforcement
Experience with Azure APIM, Cloudflare, or multi-cloud DNS management
Familiarity with Matillion or similar ETL/CDC tooling and Snowflake data warehouse
Exposure to financial services or mortgage/loan servicing domain and associated compliance requirements
Experience with Kubecost or similar FinOps tooling for cloud cost optimization
Experience building or contributing to an Internal Developer Portal (Backstage)
GCP Professional Cloud Architect or Kubernetes Administrator (CKA) certification

Responsibilities

Operate and improve multi-region GKE clusters hosting hundreds of microservices across multiple environments from development through production
Manage the Kubernetes platform layer: Istio service mesh, cert-manager, external-dns, RBAC, HPA/KEDA autoscaling, HashiCorp Vault secret injection, and Helm-based deployments
Develop and maintain Terraform modules across multiple IaC repositories covering GKE, networking (Shared VPC, Cloud NAT, Private Service Connect), Cloud SQL, Cloud Storage, Dataproc, Cloud Composer, Vault, and web hosting
Maintain and extend Azure DevOps CI/CD pipelines using shared Terraform templates with multi-environment deployment workflows
Support Confluent Kafka infrastructure including Connect workers with JDBC source connectors, consumer group health monitoring, and Kafka-lag-based autoscaling with KEDA
Manage Redis Enterprise clusters on Kubernetes with operator-managed lifecycle and replication
Operate the observability stack: Grafana Cloud (Alloy, Loki, Mimir, Tempo, Pyroscope via Private Service Connect), kube-prometheus-stack, Google Managed Prometheus, OpenTelemetry Operator/Collector, Beyla, and Kubecost
Harden cluster security posture: NetworkPolicies, Pod Security Standards, admission policy enforcement, CrowdStrike Falcon, Lacework, kube-bench, and cert-manager with Let’s Encrypt ACME
Support data infrastructure including Cloud SQL (PostgreSQL), Dataproc (Spark), Cloud Composer (Airflow), Matillion CDC pipelines, Snowflake, and BigQuery
Manage DNS across multiple providers (Azure DNS, Cloudflare, GCP Cloud DNS) via external-dns, and support Azure APIM and Cloudflare CDN/WAF
Partner directly with application development teams to troubleshoot deployment failures, tune resource limits and autoscaling, and resolve Kafka consumer lag and connectivity issues
Contribute to the Internal Developer Portal (Backstage) and internal CLI tooling that enables self-service for product engineers