IN_Senior Associate_Devops Engineer_GCC_Advisory_Bangalore

PwC South Africa

Bengaluru

On-site

Confidential

Full time

2 days ago
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Job summary

PwC South Africa is seeking a Senior Associate DevOps Engineer to join our Advisory Data, Analytics & AI practice. You will design, build, and maintain robust CI/CD pipelines, manage Kubernetes clusters, and implement infrastructure as code to support scalable cloud-based workloads.

The role requires strong scripting, monitoring, and cloud platform experience. The ideal candidate has 4–8 years of hands-on DevOps experience, proficiency in Python, Linux, and observability tools such as

Qualifications

  • 4–8 years of DevOps experience.
  • Experience with Azure/AWS cloud platforms.
  • Proficient in CI/CD using Azure DevOps or Jenkins.
  • Manage Kubernetes clusters and containerized apps.
  • Infrastructure as code with Terraform or ARM templates.
  • Strong Linux administration skills.
  • Proficient in monitoring with Prometheus, Grafana, and Datadog.
  • Proficient in Python scripting.

Responsibilities

  • Design, build, and maintain CI/CD pipelines for automated deployments.
  • Manage Kubernetes clusters including deployment, scaling and lifecycle.
  • Implement IaC to provision Azure infrastructure.
  • Ensure system reliability with proactive monitoring and incident handling.
  • Utilize cloud services across Azure, AWS, or GCP to optimize performance.
  • Develop scripts to automate operational tasks.
  • Set up observability dashboards and alerts for actionable insights.

Tools

Azure DevOps
GitLab
Kubernetes
Terraform
ARM templates
Linux
Prometheus
Grafana
Datadog
Python

Job description

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Why PwC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other.

Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary

We are seeking a skilled and motivated DevOps Engineer to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining robust CI/CD pipelines, managing Kubernetes clusters, implementing infrastructure as code, and ensuring system reliability through proactive monitoring and observability practices. This role requires expertise in cloud platforms (Azure/AWS), container orchestration, automation tools, and observability solutions to drive operational efficiency and scalability.

Responsibilities
  • Design, build, and maintain CI/CD pipelines using Azure DevOps or Jenkins for automated and seamless deployments.
  • Manage Kubernetes clusters, including deployment, scaling, and lifecycle management of containerized applications.
  • Implement infrastructure as code using Terraform or ARM templates to automate provisioning and management of Azure infrastructure.
  • Ensure system reliability and uptime through proactive monitoring, alerting, and incident management.
  • Leverage cloud-native tools and services across Azure, AWS, or GCP to optimize infrastructure and application performance.
  • Develop and maintain scripts to automate operational tasks and improve system efficiency.
  • Implement and manage observability tools such as Grafana, Prometheus, DataDog, or similar solutions to monitor system performance and troubleshoot issues effectively.
  • Set up dashboards and alerts to provide actionable insights into system health and performance.
Mandatory skill sets
  • Azure/Aws cloud
  • Azure Devops
  • Gitlabs
  • Kubernetes
  • terraform/ARM template
  • Linux
  • Prometheus
  • Grafana and Datadog
  • python
Preferred skill sets
  • Shell/Python/Powershell Scripting
  • Groovy
Years of experience required

4 to 8 years

Education qualification

B.E/B.tech/M.tech/MCA Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required

Master of Business Administration

Required Skills
  • Databricks Platform
  • Accepting Feedback
  • Accepting Feedback
  • Active Listening
  • AI Fluency
  • AI-Human Collaboration
  • Algorithm Development
  • Alteryx (Automation Platform)
  • Analytical Thinking
  • Analytic Research
  • Big Data
  • Business Data Analytics
  • Communication
  • Complex Data Analysis
  • Conducting Research
  • Creativity
  • Customer Analysis
  • Customer Needs Analysis
  • Dashboard Creation
  • Data Analysis
  • Data Analysis Software
  • Data Collection
  • Data-Driven Insights
  • Data Integration
  • Data Integrity
  • Data Mining
  • {+ 41 more}
Optional Skills
  • Accepting Feedback
  • Accepting Feedback
  • Active Listening
  • AI Fluency
  • AI-Human Collaboration
  • Algorithm Development
  • Alteryx (Automation Platform)
  • Analytical Thinking
  • Analytic Research
  • Big Data
  • Business Data Analytics
  • Communication
  • Complex Data Analysis
  • Conducting Research
  • Creativity
  • Customer Analysis
  • Customer Needs Analysis
  • Dashboard Creation
  • Data Analysis
  • Data Analysis Software
  • Data Collection
  • Data-Driven Insights
  • Data Integration
  • Data Integrity
  • Data Mining
  • {+ 41 more}
Desired Languages

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

August 19, 2026

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