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 disciplinePreferred Fields of Study :Data Analytics / Science, Statistics, Management Information Systems, Economics, Computer SciencePreferred 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 DevOpsManage version control systems (Git) and enforce branching, merging, and release strategiesImplement advanced deployment strategies (blue-green, canary, rolling) for high-availability workloadsIntegrate automated testing, compliance checks, and quality gates into pipelinesData Pipeline Services
Build and maintain automated data pipelines across AWS, Azure, and GCP servicesImplement 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 deploymentsContinuous Delivery & GitOps
Implement GitOps practices (ArgoCD, Flux) for declarative deployments and environment consistencyManage automated release pipelines with approvals, gates, and rollback strategiesCollaborate with development and data engineering teams to ensure end-to-end delivery automationScripting & Automation
Develop automation scripts using Python, Bash, or PowerShell for repetitive and operational tasksCreate reusable modules and templates to accelerate onboarding and project deliveryTroubleshoot and optimize automation workflows for performance, scalability, and reliabilitySecurity, Compliance & Monitoring
Manage secrets and credentials securely using Vault solutions or cloud-native secret storesIntegrate DevSecOps practices (static code analysis, vulnerability scans, compliance policies) into pipelinesConfigure monitoring and logging solutions (CloudWatch, Azure Monitor, GCP Operations Suite, Prometheus, Grafana)Implement proactive alerting, dashboards, and incident management practicesContainerization & Orchestration (Nice-to-Have)
Build, publish, and manage Docker images for microservices and applicationsDeploy and maintain Kubernetes clusters (AKS, EKS, GKE) with Helm charts and policiesConfigure scaling, monitoring, and self-healing workloads within KubernetesInfrastructure as Code (IaC) (Nice-to-Have)
Develop and manage cloud infrastructure using Terraform, CloudFormation, or BicepStandardize infrastructure modules to enable consistency across multiple environmentsEmbed security and compliance policies into IaC workflowsAgile Delivery & Collaboration
Act as a technical lead, reviewing automation scripts, pipelines, and infrastructure templatesPartner with developers, QA, and data engineers to deliver end-to-end solutionsProvide technical input during sprint planning, architecture, and design discussionsDrive adoption of DevOps practices across agile delivery squadsDocumentation & Knowledge Sharing
Maintain detailed documentation for CI / CD pipelines, automation scripts, and infrastructure templatesCreate runbooks, troubleshooting guides, and reusable patterns for production support teamsConduct knowledge-sharing sessions and peer reviews across delivery teamsSoft Skills & Leadership Readiness
Strong problem-solving and analytical skills with a focus on automation, scalability, and resilienceAbility to explain DevOps, cloud, and data concepts to technical and non-technical stakeholdersMentorship and leadership skills to coach junior associates and guide delivery teamsOwnership mindset with accountability for delivery quality, cost efficiency, and stakeholder satisfaction