Cloud Automation Engineer

Job description

DevOps – Senior Associate (6–10 Years)

Our Analytics & Insights Managed Services team brings a unique combination of industry expertise, technology, data management and managed‑services experience to create sustained outcomes for our clients and improve business performance.

We empower companies to transform their approach to analytics and insights while building your skills in exciting new directions.

Have a voice at our table to help design, build, and operate the next generation of data and analytics solutions as an Associate.

Job Requirements and Preferences

Basic Qualifications

• Minimum Degree Required:
• Bachelor’s Degree in Engineering, Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field

• Minimum Years of Experience:
• 6–10 years of professional experience in analytics, data science, or business intelligence roles

Preferred Qualifications

• Degree Preferred:
• Master’s Degree in Engineering, Statistics, Data Science, Business Analytics, Economics, or related discipline

• Preferred Fields of Study:
• Data Analytics/Science, Statistics, Management Information Systems, Economics, Computer Science

Preferred Knowledge & Skills

As a Senior Associate in DevOps Engineering, you’ll design, implement, and optimize CI/CD pipelines, cloud-native automation, and data pipeline services across AWS, Azure, and GCP.

You’ll collaborate with architects, data engineers, developers, and stakeholders to enable reliable, secure, and scalable delivery pipelines while mentoring junior associates and ensuring adherence to best practices.

Your role will balance hands-on engineering with technical leadership responsibilities.

Cloud Platforms & DevOps Engineering

• Design, implement, and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or Azure DevOps
• Manage version control systems (Git) and enforce branching, merging, and release strategies
• Implement advanced deployment strategies (blue-green, canary, rolling) for high-availability workloads
• Integrate automated testing, compliance checks, and quality gates into pipelines

Data Pipeline Services

• Build and maintain automated data pipelines across AWS, Azure, and GCP services
• Implement orchestration frameworks for ETL/ELT workflows (Airflow, Data Factory, Glue, etc.)
• Automate provisioning of data services (Databricks, BigQuery, Redshift, Synapse, S3, Storage Accounts)
• Ensure scalability, data governance, and compliance for multi-environment deployments

Continuous Delivery & GitOps

• Implement GitOps practices (ArgoCD, Flux) for declarative deployments and environment consistency
• Manage automated release pipelines with approvals, gates, and rollback strategies
• Collaborate with development and data engineering teams to ensure end-to-end delivery automation

Scripting & Automation

• Develop automation scripts using Python, Bash, or PowerShell for repetitive and operational tasks
• Create reusable modules and templates to accelerate onboarding and project delivery
• Troubleshoot and optimize automation workflows for performance, scalability, and reliability

Security, Compliance & Monitoring

• Manage secrets and credentials securely using Vault solutions or cloud-native secret stores
• Integrate DevSecOps practices (static code analysis, vulnerability scans, compliance policies) into pipelines
• Configure monitoring and logging solutions (CloudWatch, Azure Monitor, GCP Operations Suite, Prometheus, Grafana)
• Implement proactive alerting, dashboards, and incident management practices

Containerization & Orchestration (Nice-to-Have)

• Build, publish, and manage Docker images for microservices and applications
• Deploy and maintain Kubernetes clusters (AKS, EKS, GKE) with Helm charts and policies
• Configure scaling, monitoring, and self-healing workloads within Kubernetes

Infrastructure as Code (IaC) (Nice-to-Have)

• Develop and manage cloud infrastructure using Terraform, CloudFormation, or Bicep
• Standardize infrastructure modules to enable consistency across multiple environments
• Embed security and compliance policies into IaC workflows

Agile Delivery & Collaboration

• Act as a technical lead, reviewing automation scripts, pipelines, and infrastructure templates
• Partner with developers, QA, and data engineers to deliver end-to-end solutions
• Provide technical input during sprint planning, architecture, and design discussions
• Drive adoption of DevOps practices across agile delivery squads

Documentation & Knowledge Sharing

• Maintain detailed documentation for CI/CD pipelines, automation scripts, and infrastructure templates
• Create runbooks, troubleshooting guides, and reusable patterns for production support teams
• Conduct knowledge-sharing sessions and peer reviews across delivery teams

Soft Skills & Leadership Readiness

• Strong problem-solving and analytical skills with a focus on automation, scalability, and resilience
• Ability to explain DevOps, cloud, and data concepts to technical and non-technical stakeholders
• Mentorship and leadership skills to coach junior associates and guide delivery teams
• Ownership mindset with accountability for delivery quality, cost efficiency, and stakeholder satisfaction

Required Skill Profession

Computer Occupations