DevOps Engineers

Palo Alto, CA, US • Posted 12 hours ago • Updated 1 hour ago
Contract Independent
Contract Corp To Corp
Contract W2
On-site
Fitment

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Job Details

Skills

  • DevOps
  • Terraform
  • Kubernetes
  • PostgreSQL
  • Redis
  • Node.js
  • Load Balancing
  • Microsoft Azure
  • Scripting
  • Capacity Planning
  • Identity and Access Management
  • Amazon Web Services
  • Grafana
  • Infrastructure Management
  • Cloud computing
  • Continuous Integration
  • Databases
  • Reliability
  • Workflows
  • Cryptography
  • Firewalls (Computer Science)
  • Safety Principles
  • Python (Programming Language)
  • Transport Layer Security
  • Application Programming Interfaces (APIs)
  • Relational Databases
  • Tooling Assembly and Dismantling
  • Self Motivation
  • Dashboards
  • Public Key Certificates
  • Domain Name System (DNS)
  • Access Controls
  • Cost Optimisation
  • Employee Onboarding
  • Key Management
  • Datadog
  • Data Layers
  • Triage
  • Audit Trail
  • Autoscaling
  • Data Stores
  • Knowledge of Hygiene
  • Network Address Translation
  • Production Operations

Summary

Role: Sr. DevOps Engineer

Location: Palo Alto, CA 94301 (Hybrid 2 days/week)

Duration: 3+ month C2H

About the Role

We are looking for experienced DevOps Engineers to support production operations for OpusClip. This is a hands-on role requiring immediate contribution with minimal onboarding. Candidates must be self-sufficient and comfortable working in a complex and fast-paced environment.

Key Responsibilities

1. IaC, Secrets, IAM & Security

Own the security foundation: service account lifecycle, secrets management, encryption key management, workload identity, and compliance tooling. Drive Infrastructure as Code adoption and establish GitOps workflows for access control changes.

2. Networking, DNS & Edge Infrastructure

Own cloud networking, firewall rules, static IPs, NAT, DNS, and a fleet of proxy and bastion hosts. Manage load balancing, SSL certificates, CDN, and synthetic monitoring. Identify and eliminate unused network resources.

3. Databases, Storage & Messaging

Own relational databases, in-memory caches, object storage, and event streaming infrastructure. Ensure backup/restore procedures, capacity planning, and data layer reliability for mission-critical workloads.

4. Kubernetes, Compute, CI/CD & Observability

Own large-scale Kubernetes clusters, standalone compute fleets, CI/CD pipelines, artifact management, and the full observability stack (monitors, dashboards, SLOs). Drive cost optimization and monitoring hygiene.

What You'll Do

Operate and improve production cloud infrastructure supporting a high-scale video platform

Drive Infrastructure as Code - codify existing resources, establish GitOps workflows, implement policy-as-code

Participate in on-call rotation on a regular cycle with the team

Triage and resolve infrastructure incidents: capacity, OOM, network, database saturation, node failures, certificate expiry, CI/CD failures

Optimize costs, identify unused resources, right-size compute, manage vendor spend

Collaborate with engineering teams on shared concerns like API reliability and deploy pipelines

Required:

  • 3+ years managing production cloud infrastructure (major cloud provider - Google Cloud Platform, AWS, or Azure)
  • Strong experience with Kubernetes at scale (node pool management, autoscaling, troubleshooting)
  • Proficiency with Infrastructure as Code (Terraform or equivalent)
  • Experience with observability platforms (Datadog, Grafana, or similar - monitors, dashboards, SLOs, APM)
  • Solid understanding of networking (VPCs, firewall rules, NAT, DNS, load balancing, TLS)
  • Experience with CI/CD pipelines and container registries
  • Comfort with on-call responsibilities and incident resp

Preferred:

  • Experience with managed relational databases (PostgreSQL or similar) at scale Familiarity with workflow orchestration systems
  • Experience with in-memory data stores (Redis or similar) in production
  • Background in security and compliance (least-privilege IAM, secrets rotation, audit logging)
  • Experience with policy-as-code frameworks
  • Familiarity with cloud cost optimization tooling
  • Temporal workflow operations
  • AlloyDB or PostgreSQL experience
  • Python or Go scripting
  • Experience with worker/queue based async service architectures
  • Mandarin proficiency is a HUGE plus
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91019203
  • Position Id: 2026-3564
  • Posted 12 hours ago
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