Level

MongoDB

Senior Staff Engineer

AI in this role

Senior Staff Engineer to architect and build distributed systems infrastructure for deploying AI applications at scale on MongoDB.

pythongojava
distributed-systemssoftware-architecturecloud-servicestechnical-leadership

We are seeking a Senior Staff Engineer to join our growing Gurugram Products & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. 

As a Senior Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. 

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

Position Expectations

  • Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service 
  • Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties
  • Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow 
  • Mentor fellow engineers and assume ownership and accountability of projects

Qualifications

  • Strong background in building core components for high scale compute and data distributed systems
  • 15+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java
  • Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
  • Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
  • Experience leading 15-20 people projects involving distributed systems infrastructure from conception to successful delivery or experience working through multiple staff engineers in different squads and leading the successful delivery of the projects
  • Good verbal and written technical communication skills, desire to collaborate with colleagues
  • Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and AI frameworks and tools
  • Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
  • Eager to learn, with a strong technical background

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

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 is an equal opportunities employer.

Req ID - 3273566793

How we rate this

Senior Staff Engineer at MongoDB rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Distributed SystemsSoftware ArchitectureCloud ServicesTechnical LeadershipPythonGoJava

Questions you could be asked

  1. Tell me about a project where distributed systems was part of your work. What did you do?
  2. Tell me about a project where software architecture was part of your work. What did you do?
  3. Tell me about a project where cloud services was part of your work. What did you do?
  4. Tell me about a project where technical leadership was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Distributed Systems, Software Architecture, Cloud Services, Technical Leadership, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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