Title: Sr Cloud DevOps Engineer
Money: 72-80 hr
Location: Onsite DC - 5 days a week
About Us We’re building a next-generation data platform on Google Cloud Platform to power in-app workflows and analytics for our users. You’ll join a small, cross-functional team responsible for end-to-end service development, deployment, and operational excellence. You’ll have input and ownership on all infrastructure design to CI/CD pipelines that enable us to successfully deliver a quality product.
What You’ll Do
● Architect, provision, and maintain GCP infrastructure (Compute Engine, Kubernetes Engine, Cloud Functions, BigQuery, Pub/Sub, Cloud Storage)
● Design and manage Terraform configurations and modules for both staging and production environments
● Build, enhance, and operate CI/CD pipelines (Cloud Build, GitHub Actions, Jenkins, or similar)
● Implement robust monitoring, logging, and alerting (Stackdriver, Prometheus/Grafana, ELK)
● Automate repetitive tasks via scripting (Bash, Python, Go) and configuration management (Ansible, Chef, Puppet)
● Collaborate with developers to define deployment strategies, optimize performance, and troubleshoot production issues
● Establish and enforce security best practices (IAM policies, VPC design, network security)
● Lead incident response efforts and drive post-mortem analyses to improve reliability
What We’re Looking For
● 4+ years of hands-on experience in cloud infrastructure and DevOps
● Deep expertise with Google Cloud Platform services and best practices
● Strong Terraform skills: writing modules, managing state, and CI integration
● Solid background in containerization (Docker) and orchestration
● Proven ability to build and maintain CI/CD workflows using industry-standard tools
● Experience with monitoring & observability stacks (Stackdriver, Prometheus, Grafana, ELK)
● Proficiency in scripting/programming (Python, Bash, or Go) for automation and tooling
● Thorough understanding of networking, security, and IAM in a cloud context
Nice-to-Haves
● Experience with SOC2 certification and standards
● Experience with Helm and Kubernetes operators
● Familiarity with service mesh technologies (Istio, Anthos)
● Knowledge of serverless patterns and frameworks (Cloud Run, Cloud Functions)
● Exposure to chaos engineering and resilience testing (Chaos Monkey, Litmus)
● Background in cost-optimization strategies on GCP
● Prior work supporting data pipelines or machine learning inference workloads
Dental, Vision, Medical, 401(k)
Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.
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