Sr. NOC Engineer
Databricks
5 - 7 years
Bengaluru
Posted: 05/06/2025
Job Description
P-1395
Why Databricks?
We’re growing fast and attracting the best talent in the world. Bricksters — as we call ourselves — are a special mix of smart, curious, quick thinkers. If you ask a Brickster what they love about working here, you’ll likely hear about our culture.
We are seeking an experienced NOC Engineer to join our team. The successful candidate will be responsible for monitoring critical Databricks’ infrastructure and developing monitoring tools and alerting dashboards. They will also work closely with stakeholders to investigate and resolve incidents, perform root cause analysis, and propose solutions to increase the reliability and stability of the Databricks unified analytics platform.
The impact you will have here:
- Monitor critical infrastructure, triage alerts to proactively identify incidents, and work with stakeholders to resolve incidents.
- Investigate incidents and propose solutions to improve platform reliability and stability.
- Perform root cause analysis for recurring incidents and provide proactive solutions.
- Develop toolings or automate processes to improve platform monitoring and alerting.
- Contribute to software development efforts to improve overall service reliability and stability.
- Communicate effectively with internal stakeholders, including executive staff, to provide incident analysis.
- Participate in war rooms and temporary communication channels during outages.
- Demonstrate cross-functional leadership and establish ownership of incidents and outages.
- Multitask on several incidents and/or projects
What are we looking for?
- Minimum of 5 years of experience as a NOC, SRE, or DevOps engineer
- Strong knowledge of cloud technologies such as Azure, AWS, and GCP
- Hands-on experience with monitoring, logging, and alerting tools such as ELK, Prometheus, Grafana, Pager Duty, etc.
- Experience with containers and orchestration technologies such as Docker and Kubernetes.
- Proficiency in automation and scripting
- Linux systems administration skills.
- Excellent communication skills.
- Willingness to learn Databricks products
- Bachelor's degree in Computer Science or a related field
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About Company
Databricks is a leading data and AI company headquartered in San Francisco, founded in 2013 by the original creators of Apache Spark™, Delta Lake, and MLflow. The company pioneered the Lakehouse architecture, which combines the best features of data warehouses and data lakes into a unified platform, enabling organizations to manage and analyze both structured and unstructured data efficiently. With its Data Intelligence Platform, Databricks empowers over 10,000 organizations worldwide—including more than 60% of the Fortune 500—to unify their data, analytics, and AI workloads. The platform supports various applications, from data engineering and collaborative data science to full-lifecycle machine learning and business analytics.
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