
DevOps Engineer (26-02526) -
Vantage Point Consulting · Location not stated
All reasons
- No location stated
In its favour
- Still listed on the employer's own board
KEY RESPONSIBILITIES
- Design, build, and maintain CI/CD pipelines for customer environment deployments, upgrades, and patch cycles — covering cloud-hosted and customer-hosted models
- Automate infrastructure provisioning and configuration management using Infrastructure-as-Code tooling (Terraform, Helm, Ansible)
- Implement and enforce DevSecOps practices across all product and client deployment pipelines — including security scanning, secrets management, and policy-as-code controls
- Develop and maintain deployment tooling, scripts, and environment templates that reduce manual effort and improve deployment consistency
- Support Systems Engineers during new customer environment builds, patch cycles, and major upgrades — providing tooling, automation, and hands-on assistance
Build and maintain ops process tooling
SLA tracking dashboards, deployment status portals, environment health monitors, and internal reporting utilities
- Maintain deployment metrics and reporting — pipeline success rate, deployment frequency, lead time, and change failure rate — to inform continuous improvement
- Identify and remediate deployment bottlenecks, pipeline failures, and infrastructure configuration drift across customer environments
- Collaborate with the SRE team to align infrastructure design with operational monitoring and incident response requirements
- Participate in change management processes — ensuring all production environment changes are logged, reviewed, and reversible
- Contribute to the Automation Engineering team's agentic workflow initiatives — developing automation that further reduces operational toil
- Maintain clear, up-to-date documentation for all pipelines, playbooks, and environment configurations
KEY DELIVERABLES
- CI/CD pipeline designs and live implementations for all customer deployment models — cloud, on-prem, and hybrid
- Infrastructure-as-Code templates and reusable deployment playbooks — maintained, versioned, and documented
- DevSecOps controls documentation and compliance evidence for all customer-facing pipelines
- Automated environment provisioning and teardown scripts — reducing manual setup time per new customer deployment
Deployment metrics dashboard
pipeline success rate, deployment frequency, lead time, and change failure rate — reported monthly
Ops tooling
SLA trackers, status portals, and environment health dashboards operational and actively used by Customer Ops teams
Target
pipeline success rate &Client; 95%; zero unplanned production outages attributable to deployment tooling failures
KEY SKILLS & QUALIFICATIONS
CI/CD platforms
Jenkins, GitHub Actions, GitLab CI, or Azure DevOps — pipeline design, implementation, and maintenance at enterprise scale
Infrastructure as Code
Terraform, Helm, Ansible — provisioning, configuration management, and drift detection
Container platforms
Docker and Kubernetes — build, deployment, and runtime management in production environments
DevSecOps
security scanning (SAST/DAST), secrets management (HashiCorp Vault or equivalent), policy-as-code (OPA, Sentinel)
Cloud platforms
AWS, Azure, or GCP — provisioning, networking, IAM, and cost-aware infrastructure management
Scripting and automation
Python, Bash, PowerShell — automating deployment workflows and operational tasks
Monitoring integration
ability to instrument pipelines with observability hooks compatible with Prometheus, Grafana, Datadog, or equivalent
Change management
familiarity with ITSM processes and structured change control in enterprise environments
Collaboration skills
able to work effectively with Systems Engineers, SRE, and customer-facing teams in a fast-moving environment
Documentation
clear, maintainable runbooks and pipeline documentation — written for both technical peers and operational teams
Skills
- Terraform
- Helm
- Ansible
- Jenkins
- GitHub Actions
- GitLab CI
- Azure DevOps
- Docker
- Kubernetes
- SAST
- DAST
- HashiCorp Vault
- AWS
- Azure
- GCP
- IAM
- Python
- Bash
- PowerShell
- Prometheus
- Grafana
- Datadog
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