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Senior Software Engineer - Observability

Location
Bengaluru, India
Compensation
Not disclosed
Level
senior
Type
full time · On-site

Posted by employer 2 years ago

First seen on Joblaze 5 months ago

Last verified on the company career page 23 hours ago

Requirements

Experience
7+ years
Education
Bachelor's degree

Not disclosed in this posting: compensation, visa sponsorship.

Joblaze summary

In the role of Senior Software Engineer on the Observability team at Databricks, the individual will focus on developing solutions that enhance the visibility and performance of the company's extensive data infrastructure. Key skills include proficiency in programming languages like Python or Java, along with experience in large-scale distributed systems and observability tools. This position is ideal for seasoned engineers with over seven years of experience who are adept at collaborating across teams to optimize system performance. Databricks is in a growth phase, establishing new teams and pushing the boundaries of data and AI technology.

Joblaze insights

Quick facts

Is the Senior Software Engineer - Observability role remote?
No — this is an on-site role in Bengaluru, India.
How much experience is required?
At least 7 years of relevant experience for this Senior Software Engineer - Observability role.
Where is the role based?
Databricks is hiring for this position in Bengaluru, India.
What's the tech stack?
Joblaze extracted these technologies from the posting: C++, Java, Logging, Observability, Python, Scala.
What seniority level is this role?
Databricks targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Software Engineer - Observability role at Databricks.

From the original posting

P-926

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. We're only getting started in Bengaluru, India - and are currently in the process of setting up 10 new teams from scratch!

Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is important to making customers successful on our platform.

We develop and operate one of the largest-scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a software engineer in the Observability team, you will develop observability solutions that provide insights into the health and performance of our products and infrastructure.

The impact you'll have:

  • Establish standards for logging, metrics, and tracing.
  • You will collaborate with different teams to identify metrics that allow engineers to observe how well the system and different subcomponents are performing.
  • You will build tooling and infrastructure to allow components to efficiently emit, aggregate, and store metrics that can be displayed on dashboards and used for alerting.
  • Ensure the scalability, performance, and reliability of systems by contributing to and executing the technical roadmap.
  • Participate in on-call rotations and reduce incident response times to maintain operational excellence.
  • Optimize platform and infrastructure by analyzing system expenses, enhancing visibility, promoting mindful usage, enforcing retention policies, streamlining queries, and right-sizing resources to reduce observability costs.

What we look for:

  • BS (or higher) in Computer Science, or a related field.
  • 5+ years of production-level experience in one of: Python, Java, Scala, C++, or similar languages.
  • Experience in software development, in large-scale distributed systems
  • Familiarity with metrics collection, health monitoring, and observability tools

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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 click here.

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.

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