Search Platform DevOps

• Work at the intersection of engineering and operations of SDC products at Adobe, with automation in mind.
• Work on large-scale stateful and stateless distributed systems, container run-time systems such as Kubernetes, and a wide range of diverse services, including search infrastructure, real-time messaging & data ingestion platforms, SQL & no-SQL databases, web services & orchestration services, and more.
• Handle Large Inference clusters, engage with architects and engineers in launching GenAI and ML Services throughout the life cycle end-to-end, thus democratizing MLOps & DevOps culture.
• Automate the SLC processes by building and supporting software modules, scripts, deployment frameworks, tracers, monitors, and self-healing/auto-remediation tools.
• Maintain up-to-date documentation on deployments, processes, and standard operating procedures/runbooks.
• Explore and research new and emerging ML and AIOps technologies and bring them to Adobe SDC World to cater to Adobe's global needs. This role is not looking for candidates who have worked purely on release or DevOps engineering.

• 3 5 years of industry experience in systems engineering, distributed systems, or large-scale infrastructure environments.
• Strong programming and automation skills in languages such as Python, Go, Java, Ruby, or Shell, with experience in CI/CD tools (e.g., Jenkins, Git, Perforce, etc.).
• Hands-on experience with Linux-based systems, cloud platforms (AWS/Azure), container environments, and large-scale distributed or data platforms., * B.S. in Engineering
• Minimum 3-5 years of relevant experience in the industry
• Good understanding of OS, distributed systems
• Experience with designing and building architecture, systems engineering of large-scale deployments, comprising different components
• Experience in building, deploying, and handling infrastructures in public clouds (AWS, Azure) or virtualization technologies
• System design and administration in Linux production environments. Experience with Linux, GPUs, Internet Protocols, and Large-Scale Operations is highly sought after
• Exposure to container runtime environments
• Exposure to running, scaling any NO-SQL technologies like Elastic Search, Kafka, HBase, AWS SQS, Apache Spark, etc.
• Strong knowledge of CI/CD concepts and experience with tools like Jenkins, Git, Perforce, etc.
• Excellent programming (Python/Ruby/GoLang/Java/Shell) and automation skills

Education:

• B.S/M.S. in Engineering

Our client is a global leader in creative software, offering innovative tools for digital media creation, design, and marketing.