Join our Team : About the Opportunity

You will be part of Software Environment Developer (SED) team whose primary purpose is to secure a stable and efficient build environment aimed for components and products.

In this role you will also work with AI-powered tools and services to enhance developer productivity, build and test reliability, and observability. You will help integrate and operationalize AI capabilities in our CI/CD and developer environments, ensuring they are robust, secure, and aligned with Ericsson ways of working. - What you will do : Define architecture, develop, maintain, and administer the product build environment to meet business needs, adhering to relevant build frameworks and recommendations.

- Plan and analyze changes in the build environment to ensure alignment with business objectives.
- Troubleshoot and optimize CI/CD pipelines, build infrastructure, and test environments.
- Work collaboratively in a hybrid set-up, engaging with a multi-geography team to achieve shared goals - What you must have : B.E /B Tech /M Tech preferably in Computer Science or Electronics or Masters in Computer Application (MCA)
- 5 - 6 yrs of experience, proficiency in Linux administration and troubleshooting.
- Strong experience in shell scripting for automation and system tasks.
- Advanced knowledge of Python scripting for automation and tooling.
- Hands-on experience with Jenkins for continuous integration and continuous deployment (CI/CD) pipelines.
- Advanced knowledge of working with Git/Gerrit for version control and code review processes.




- Fundamental understanding of Docker for containerization.
- Fundamental knowledge of Kubernetes for container orchestration.
- Basic IP network skills for troubleshooting and configuration. - AI & automation skills (working with AI)

Hands-on experience using AI-assisted developer tools (e.g., LLM-based code assistants, AI-based log analysis, AI test generation) as part of daily engineering work.

- Ability to formulate effective prompts and problem descriptions for AI tools to troubleshoot complex build, test, or environment issues.
- Experience integrating SaaS/on-prem AI services into engineering workflows or CI/CD pipelines (for example, via REST APIs, webhooks, or plug-ins for Jenkins/Git).
- Awareness of AI governance, security, and data-handling considerations (e.g., what can/cannot be sent to external AI services; handling of logs and code securely). - Added Advantages to have : Prior experience in maintaining and troubleshooting software delivery staging & release pipelines in a cloud-native development setting.
- Prior experience of working in a DevOps / platform engineering setup.
- Exposure to MLOps or AI platform tooling (e.g., model deployment/monitoring platforms, feature stores) or working closely with data/ML teams.
- Experience building chatbot
- or assistant-like solutions for internal developer support (for example, integrating AI Q&A; over internal documentation).
- Experience with observability stacks (Prometheus, Grafana, ELK, etc.) and using AI/ML on top of telemetry data for anomaly detection or predictive insights.

📌 Software Environment Developer (Gurugram)
🏢 Ericsson
📍 Gurugram