DevOps 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

Professional Services