DevOps-Senior Associate-Analytics as service Operate

Industry/Sector

Specialism

Management Level

Job Description & Summary

Focused on relationships you are building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations you are growing your personal brand deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients and to deliver quality. Embracing increased ambiguity you are comfortable when the path forward isnt clear you ask questions and you use these moments as opportunities to grow.

Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives needs and feelings of others.
• Use a broad range of tools methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firms code of conduct and independence requirements.

aDevOps Senior Associate (610 Years)
Our Analytics & Insights Managed Services team brings a unique combination of industry expertise technology data management and managedservices 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:
  Bachelors Degree in Engineering Statistics Mathematics Computer Science Data Science Economics or a related quantitative field
• Minimum Years of Experience:
  610 years of professional experience in analytics data science or business intelligence roles

Preferred Qualifications

• Degree Preferred:
  Masters 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 youll design implement and optimize CI/CD pipelines cloud-native automation and data pipeline services across AWS Azure and GCP. Youll 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

Travel Requirements

Job Posting End Date