DevOps / Software Automation Engineer

• Responsible for designing and implementing automated infrastructure and performance benchmarking workflows.
• The role focuses on building CI/CD pipelines, automating CPU performance testing processes, enabling scalable execution systems, and supporting data-driven performance engineering environments with high reliability and repeatability.

Requirement/Must Have:

• Bachelor s degree in Computer Science, Engineering, or equivalent practical experience.
• Strong proficiency in Python and Linux shell scripting.
• Hands-on experience with CI/CD tools such as Jenkins and GitHub.
• Strong understanding of Linux systems, OS tuning, and server environments.
• Experience automating infrastructure using Ansible or similar tools.
• Ability to debug complex system and automation issues independently.
• Strong communication skills and ability to collaborate with engineering teams.
• Experience working in performance-focused or automation-heavy environments.

Experience:

• Experience building and maintaining CI/CD pipelines for automation workflows.
• Experience in infrastructure provisioning and system configuration at scale.
• Experience with containerization using Docker and orchestration tools such as Kubernetes.
• Experience with monitoring and observability tools.
• Experience in performance benchmarking or system performance environments preferred.
• Experience processing and analyzing large-scale system or log data.

Responsibilities:

• Design and implement automated workflows for CPU performance benchmarking including setup, execution, validation, and reporting.
• Translate manual performance engineering processes into scalable automation pipelines.
• Enable CI-triggered or one-click benchmark execution with standardized results.
• Automate log parsing, metrics extraction, and structured data generation.
• Build and maintain CI/CD pipelines for benchmark execution and infrastructure workflows.
• Ensure reproducibility, traceability, and auditability of performance runs.
• Automate server provisioning, OS deployment, and system configuration.
• Manage Linux-based environments optimized for performance testing.
• Monitor platform health and benchmark execution using observability tools.
• Debug and resolve failures during automated runs and support performance engineers.
• Perform capacity planning and scale infrastructure for increasing workloads.
• Process and structure benchmark data using Python and data platforms.
• Support dashboards and reporting for engineering stakeholders.
• Document workflows, architectures, and troubleshooting procedures.
• Collaborate closely with performance engineers and internal IT teams.
• Support networking, hardware, and security alignment where needed.

Should Have:

• Experience with CPU or system performance benchmarking tools.
• Familiarity with Spark, Kafka, or Databricks.
• Experience with Prometheus, Grafana, Zabbix, or similar monitoring tools.
• Experience with Power BI or other visualization tools.
• Strong systems thinking and architecture design skills.
• Experience building backend services in Go or similar languages.
• Exposure to MCP development and service integration patterns.
• Exposure to MLOps and AI/ML pipeline workflows.

Skills:

• Python and Linux shell scripting.
• Jenkins, GitHub, CI/CD pipelines.
• Linux system administration and tuning.
• Ansible and infrastructure automation.
• Docker and Kubernetes.
• Performance benchmarking and automation.
• Observability and monitoring tools.
• Data processing and analytics.
• System debugging and troubleshooting.
• API and service integration.

Qualification And Education:

• Bachelor s degree in Computer Science, Engineering, or related field required.