Senior/Lead DevOps Engineer

About the job About The Role In this role, you will help shape how AI models troubleshoot and solve complex enterprise technology challenges. You will work alongside AI researchers, data scientists, and engineers to evaluate AI-generated diagnostics, validate remediation guidance, and create high-quality training datasets across Enterprise Networking, Data Center, Security, and Collaboration technologies, with a strong focus on the Cisco ecosystem. Responsibilities Build and maintain CI/CD pipelines for build, test, and deployment automation across development, staging, and production environments. Design and manage cloud infrastructure (AWS, Azure, or GCP) using Infrastructure as Code tools such as Terraform and Ansible Operate containerized workloads with Docker and Kubernetes, including cluster configuration, scaling, and troubleshooting Implement monitoring, logging, and alerting (e.g., Prometheus, Grafana, ELK/Splunk) to ensure system reliability and fast incident detection. Automate operational workflows using scripting (Python, Bash) and REST APIs to reduce manual effort and improve consistency Own incident response and root cause analysis for production issues, driving remediation and documenting resolutions. Embed security and compliance practices into the delivery pipeline (secrets management, vulnerability scanning, access control) Collaborate cross-functionally with development, QA, and product teams to align infrastructure and release practices with delivery goals Maintain clear technical documentation for infrastructure, pipelines, runbooks, and operational procedures Continuously improve tooling and processes to increase deployment frequency, reduce lead time, and strengthen system resilience Requirements 4+ years of experience in a DevOps, Site Reliability, or Cloud Infrastructure Engineering role Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) Proficiency with Infrastructure as Code (Terraform, Ansible, or equivalent) and configuration management Strong knowledge of CI/CD tooling: Jenkins, GitLab CI, GitHub Actions, Azure DevOps Experience with containerization and orchestration (Docker, Kubernetes) Scripting ability in Python or Bash for automation and tooling Working knowledge of Linux systems administration and networking fundamentals Familiarity with monitoring and observability tools and a practice of writing clear operational documentation Experience in іntegrating REST/DevNet-style APIs to extract, normalize, or automate data from third-party platforms Exposure to network or infrastructure diagnostics (e.g., Cisco platforms, telemetry tools) as part of an automation or observability workflow Relevant certifications in AWS, Azure, GCP, CKA, Terraform Associate Strong troubleshooting and communication skills, with the ability to work cross-functionally under time pressure SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.