Senior Software Engineer - Backend

Menlo Ventures; San Francisco (CA); On-site; USD 166,000 - 225,000; Full time

Benefits offered by this job

Comprehensive health coverage including medical, dental, and vision

401(k) Plan

Equity awards

Flexible time off

Paid parental leave

Gym reimbursement

Job summary

Menlo Ventures is looking for a software engineer with a backend focus to build scalable infrastructure for the Databricks platform. This role involves developing reliable services that manage massive datasets securely and across multiple cloud providers.

You will work on distributed systems, utilize cloud technologies, and contribute to a diverse and inclusive team culture. The position offers a competitive salary range of $166,000 to $225,000 USD, comprehensive health coverage, and various additional benefits.

Qualifications

• 5+ years of production-level experience in one of Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Experience with security and systems handling sensitive data.

Responsibilities

• Build infrastructure and products for the Databricks platform at scale.
• Develop reliable, scalable services and client libraries for massive data.
• Build tools for Databricks engineers to operate their services across different clouds.

Skills

Java

Scala

C++

Cloud technologies (AWS, Azure, GCP)

SQL

Education

BS in Computer Science or related field

Tools

Docker

Kubernetes

Job description

P-78

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.

The impact you'll have:

• Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
• Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
• Build tools to allow Databricks engineers to operate their services across different clouds and environments
• Build services, products and infrastructure at the intersection of machine learning and distributed systems.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 5+ years of production level experience in one of: Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
• Experience with security and systems that handle sensitive data.
• Good knowledge of SQL.

Benefits

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Employee Assistance Program (EAP)
• Business travel accident insurance

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$166,000 — $225,000 USD

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.