DevOps Engineer

Job Title: Dev-Ops Engineer Work Model: Hybrid/Remote – Preference for candidates located in Lehi or San Jose. Open to remote candidates (PST/MST preferred). Contract Details • Duration: 6 months • Schedule: Full-time, 40 hrs/week (8 hrs/day, Monday–Friday) • Pay Rate: Up to $69.13/hour (USD) • Employment Type: W2 only (No H-1B sponsorship, No subcontracting) About the Role We are seeking a Dev-Ops Engineer to join our Observability team, with a primary focus on supporting and improving our Splunk infrastructure. This role will be responsible for managing user support tickets, handling client escalations, and modernizing deployment mechanisms. The ideal candidate is a hands-on engineer with strong expertise in observability tools, cloud platforms, automation, and deployment pipelines. Key Responsibilities • Manage and support internal logging systems (Splunk, Loki, Elastic, Click house) to improve performance and stability. • Handle internal support tickets and client escalations. • Enhance deployment mechanisms using tools like GitHub Actions and Jenkins. • Design and implement systems for fault tolerance, scalability, and stability. • Develop integrations and applications for large-scale observability environments. • Deploy and operate distributed applications on cloud platforms. • Ensure high uptime and quality of service (QoS) for Adobe’s customers through operational excellence. • Collaborate cross-functionally, effectively communicating technical solutions and driving projects to completion. • Contribute to the technical direction and strategic decisions of the team. Required Skills & Experience • Hands-on experience with internally hosted logging systems (Splunk, Loki, Elastic, Click house). • Strong programming experience in Python. • Knowledge of cloud platforms (public and/or private). • Experience with Infrastructure as Code and configuration management tools (e.g., Salt). • Proficiency with deployment and CI/CD tools (GitHub Actions, Jenkins, etc.). • Proven ability to design and maintain production monitoring systems. • Strong troubleshooting skills in performance and stability issues. • Experience in developing, deploying, and managing distributed systems. • Exceptional communication skills, with the ability to collaborate across teams. Education • Bachelor’s Degree (BS) in Computer Science, Engineering, or related field. • 3–5 years of relevant experience.