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About
LOCATION: San Jose, CA (Hybrid)
PAY RANGE: $60 - $70/hr.
DURATION: 12 Months
TOP SKILLS:
Good at Tooling & Automation beyond basic operations
Good knowledge on Distributed systems, Linux & Cloud Fundamentals
Company:
Our client is a global leader in creative software, offering innovative tools for digital media creation, design, and marketing.
Duties:
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.
Skills:
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
BENEFITS SUMMARY : Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
IND123
Languages
- English
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