EVCN DevOps engineer
ericsson
Job Description
What you will do:
- Work with Azure cloud architecture – deploying, updating, troubleshooting and improving our development environments.
- DevOps Transformation: Champion the adoption and refinement of best DevOps practices, ensuring seamless integration across development, testing, support, and SRE teams. You’ll be a driving force behind operational excellence and continuous improvement.
- Optimize CI/CD Pipelines: Architect and enhance GitLab-based CI/CD pipelines, enabling faster, more reliable deployments and empowering teams to deliver with agility and confidence.
- Harness AI for Operations: Apply cutting-edge AI and machine learning techniques to automate workflows, predict maintenance needs, and boost operational efficiency. Your expertise will help Ericsson stay ahead in a rapidly evolving tech landscape.
- Collaborate Globally: Work closely with cross-functional teams in India and Canada, aligning engineering strategies with product and business goals. Your communication skills will bridge continents and cultures, fostering a truly global engineering community.
- Drive Thought Leadership: Serve as a thought leader in cloud and DevOps, inspiring innovation and setting new standards for performance and reliability in telecom-grade systems.
You will bring
- Proven experience in Azure cloud architecture, networking (VPC, VPN, Load Balancing), and resource management.
- Advanced skills in Infrastructure as Code (IaC) tools such as Terraform and ARM templates.
- Deep understanding of observability tools (Prometheus, Grafana, ELK Stack, Azure Monitor).
- Automation expertise with Bash, Python, and PowerShell, enabling you to streamline and optimize operations.
- A strong track record of designing and maintaining GitLab-based CI/CD pipelines.
- Hands-on experience deploying, managing, and scaling containerized applications using Kubernetes, including orchestrating microservices in production environments, implementing Helm for streamlined application packaging and delivery.
- Demonstrable experience applying AI and machine learning to DevOps and cloud operations.
- Excellent communication skills for working with diverse, distributed teams.
- A proactive, adaptable mindset ready to thrive in a fast-paced, ever-changing environment.
- Strong organizational skills and attention to detail.