Senior Software Engineer, Atlas Search Systems

MongoDB; San Francisco (CA); Hybrid; USD 118,000 - 231,000; Full time

Job summary

Join a forward-thinking company at the forefront of technology, where you will design and build an integrated search platform that empowers users to retrieve data efficiently. In this hybrid role, you'll work on exciting projects that involve cloud-based distributed systems and contribute to open-source platforms. With a commitment to employee wellbeing and professional growth, this innovative firm offers a supportive culture and a range of benefits, including flexible paid time off and generous parental leave. If you're eager to impact the technological future of complex systems, this is the perfect opportunity for you.

Benefits

Flexible Paid Time Off

20 Weeks Fully-Paid Gender-Neutral Parental Leave

Fertility and Adoption Assistance

401(k) Plan

Mental Health Counseling

Transgender-Inclusive Health Insurance

Employee Stock Purchase Program

Qualifications

• Proficient in modern programming languages and techniques.
• Experienced in developing distributed systems and cloud services.

Responsibilities

• Build and design an integrated search platform written in Java.
• Collaborate with teams to coordinate changes and contribute to projects.

Skills

Java

Distributed Systems

Cloud Services

SaaS Products

Multithreaded JVM Applications

Job description

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

Atlas Search is a cloud service that allows users to execute complex search queries using the MongoDB Query Language. Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale.

Our team is building cloud-based distributed systems software responsible for the entire lifecycle of search including: data ingestion, partitioning, performance, availability, query language and aggregation. Our product is being adopted quickly and there are many interesting projects you can help with.

This role is based in the SF Bay Area - hybrid work model.

Ideally you will be:

• Proficient in modern programming languages and techniques


• Eager to impact and envision the technological future of a complex system


• Experienced in developing distributed systems, cloud services and SaaS products


• Experienced in designing and maintaining search platforms or distributed databases is preferred but not required


• Experienced in debugging and profiling multithreaded JVM applications and distributed applications is preferred but not required

You would get to:

• Build and design our integrated search platform, written in Java


• Contribute to two leading open source platforms, MongoDB and Lucene


• Participate in product and architecture discussions


• Perform code reviews with peers and make recommendations on how to improve our code and software development processes


• Collaborate with other teams including cloud services, database, enterprise tools, drivers and support to coordinate changes or contribute to their projects

Success Measures:

• In 3 months, you'll contribute to the improvement of our core "mongot" and Mongo Management Service repos


• In 6 months, you'll be working on features to build out new infrastructure for Atlas Search


• In 12 months, you'll be building POCs, designing new features, and collaborating with other Cloud and Server teams on complex projects

To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 1263108501

MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB's base salary range for this role in the U.S. is:

$118,000—$231,000 USD