Lead SRE for Data & Analytics platforms at Deloitte. Championing reliability, improving stability, and driving automation in a hybrid environment based in London.
About the role
- DevOps Engineer building cloud-native CI/CD and infrastructure at Guidehouse. Automate deployments, monitor systems, and support government-cleared projects.
Responsibilities
- Support build, test, deployment, and monitoring tools and environments in a cloud-hosted infrastructure
- Assist with software releases, infrastructure management, inventory, installations, configurations, and connectivity
- Monitor and optimize system performance using tools like Prometheus, Grafana, Datadog, Splunk and ELK Stack
- Collaborate with development, QA, and operations teams to improve deployment workflows and system reliability
- Ensure security best practices are integrated into pipelines and infrastructure (DevSecOps)
- Troubleshoot and resolve issues across development and production environments
- Maintain and modernize legacy systems using cloud-native services and automation
- Design, implement, and maintain CI/CD pipelines using tools like GitLab CI, Cloud Build and Harness
- Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Helm
- Deploy and manage containerized applications using Kubernetes, OpenShift, or GKE, and Cloud Run(Knative)
Requirements
- US Citizenship required; must be able to obtain a Public Trust government clearance
- Bachelor's Degree or Four (4) additional years of experience if needed in lieu of degree
- 4+ years of industry experience
- 2+ years as a DevOps Engineer
- Experience working in a DevOps environment supporting multiple teams/applications
- Proficiency in deploying and troubleshooting Java-based application stacks (NGINX, Apache HTTPD, JAVA JDK, Apache Tomcat, PostgreSQL)
- Strong understanding of application network configurations (Reverse Proxy, TLS Certificates, DNS, Load Balancers, Routers, Firewalls)
- Experience with CI/CD pipelines (Jenkins, Tekton, GitLab, Harness preferred)
- Hands-on experience deploying applications to Google Cloud and/or Kubernetes (OpenShift, GKE, or EKS)
- Proficient with infrastructure and deployment automation tools (Terraform, Ansible, YAML, ArgoCD, HELM)
- Skilled in Git source control (Git, GitLab, Bitbucket), including branching and merge requests
- Experience with Linux (RHEL 8+)
- Familiarity with Windows Server (2016+)
- Experience with DataDog, Splunk, Google Logging and monitoring or similar tools
- Proficiency in scripting or programming languages (Python, Bash, Java) and API usage (nice to have)
- Federal government experience (nice to have)
- Experience with deploying AI agentic applications (nice to have)
- Experience implementing AIOps automation (nice to have)
- Experience using AI tools (Gemini) for development and QA (code assist) (nice to have)
- Familiar with DevSecOps and GitOps best practices (nice to have)
- Strong verbal and written communication skills (nice to have)
Benefits
- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Parental Leave
- 401(k) Retirement Plan
- Group Term Life and Travel Assistance
- Voluntary Life and AD&D Insurance
- Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
- Transit and Parking Commuter Benefits
- Short-Term & Long-Term Disability
- Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Care.com annual membership
- Employee Assistance Program
- Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
- Position may be eligible for a discretionary variable incentive bonus
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