JOB LEVEL
P40
EMPLOYEE ROLE
Individual Contributor
The Opportunity
We have a fantastic opportunity for a ML-focused Site Reliability Engineer to join our Developer Platforms team based in Bucharest.
We are looking for an engineer with hands-on experience in machine learning, including designing and training models for real-world applications. The ideal candidate will play a crucial role in developing and implementing anomaly detection systems to proactively spot and address operational issues in intricate infrastructures. This role demands a strong understanding of AI Ops methodologies to optimize performance, automate incident response, and enhance system reliability. Candidates should be enthusiastic about using data to drive intelligent automation and improve service resilience at scale.
The Role:
Build outstanding things that matter. You’ll work on a critical growth initiative, solving problems for engineers and customers.
Grow. Sharpen your skills, use innovative technology, and collaborate with your peers.
Collaborate. Work in an environment that values collaboration.
What you'll do:
Ensure the highest level of uptime and Quality of Service (QoS) to Adobe’s customers through operational excellence
Architect and build an AI Anomaly-detection system that works on Adobe’s observability data at scale, partnering with other teams to work across boundaries.
Define service level objectives (SLOs) and service level indicators (SLIs) to represent and measure service quality
Identify areas to improve service resiliency through techniques such as chaos engineering, performance/load testing, anomaly detection, etc
Support and maintain globally distributed multi-cloud (public and/or private) environments
Automate common, repeatable tasks at a large scale to reduce toil
Tackle performance and stability issues using a wide variety of tools
Participate in an on-call rotation as required
Determine the root cause for all production level incidents and write corresponding high-quality RCA reports
What you'll need to succeed:
Hands-on experience with AI anomaly detection and training models
Expert in MCP integration, with experience in MCP to MCP communication as a nice to have.
Understanding of how to fine-tune signals from observability systems to allow our AI capabilities to scale for Production data.
Deep understanding of both software engineering and technical operations
DevOps skills (scrum/Kanban/agile/ci-cd/12-factor)
Experience in modern cloud-based, SaaS delivery technologies: AWS, Azure, Jenkins, Git, Atlassian Jira and Confluence, Linux, DNS, E-mail, containers, log analysis, monitoring, Java, Apache, Tomcat, Memcached, Qpid, and MySQL on Linux, Prometheus, Grafana, New Relic, Splunk.
Expertise with containerization orchestration engines (Kubernetes)
Programming skills, particularly with Python, Java, and Ruby
Applied skills in machine learning
Excellent communication, interpersonal, and teamwork skills
Familiar with a variety of cloud and automation concepts, practices, and procedures
Internal Opportunities
Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!
Put your best foot forward:
1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.
2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.
3. Check out these tips to help you prep for interviews.
4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.
Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.
At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is proud to be anEqual Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.Learn more.
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