engineering
Posted 5 days agoSenior Technical Services Engineer
at MongoDB
Toronto, CanadaHybrid
Responsibilities
- Support and guide our strategic customers, focus on day-to-day resolution and proactively drive progress
- Resolve technical issues through diligent research, reproduction, and troubleshooting, log and server analysis using industry standard as well as bespoke in house developed tools
- Build and create standard methodologies for technical troubleshooting across different technologies, and craft Knowledge Articles that contribute to our self-serve support portal
- Review and test new features before they are publicly available, including creating internal and customer facing assets, such as knowledge base articles or FAQs
- Proactively identify improvement to business processes and policies to solve problems and get things done
- Gather feedback from customers and engage the engineering, product, sales and marketing teams to improve our product through regular touchpoints and data driven reporting from the field
- Coach and mentor junior engineers on the team in new or emerging product areas, as well as cross-training peers in specialty topics What you will learn
Requirements
- The Technical Services team works with our customers to ensure that their MongoDB deployments are running at their best.
- From a query performance question on a test Atlas cluster to helping upgrade large self-hosted sharded clusters run by some of the world's best-known global enterprises, the Technical Services team is available 24/7 to help our customers with any aspect of the MongoDB data platform.
- As MongoDB continues to expand product offerings and features within the MongoDB Atlas Data Platform, MongoDB is looking for a Senior Technical Services Engineer with a background in application search, as well as search-related technologies, who will also provide specialized support for our Atlas Search and Vector Search products
- You’ll also troubleshoot application problems and be an advocate for our users’ needs, collaborating with the MongoDB product management and development teams on their behalf. As a technical expert across the MongoDB platform, you will advise MongoDB field teams on complex technical issues, including Atlas Search and Vector Search, and help drive technical enablement across MongoDB technologies.
- You will utilize your exceptional analytical skills and customer service to ensure that MongoDB users are successful with our suite of MongoDB application-layer products.
- experience with administering RDBMSs such as Oracle, Postgres, mySQL etc. MongoDB experience is preferred. •
- Experience with Database Performance tuning and benchmarking
- Solid fundamentals in Linux, Networking, and Diagnostics •
- Experience with scalable and highly available distributed systems
- Ability to think on your feet, remain calm under pressure, and solve problems in real-time
- A B.Tech / B.S. or equivalent work experience; if you don’t have a Computer Science degree, but think you can do the job, apply anyway! You may also have •
- Experience with Algolia, Lucidworks, Pinecone, Milvus, or similar •
- Experience with database programming and data models Advanced
- experience with Operating System and Networking Core concepts
- Certifications - MongoDB, RHCE, Cloud Provider Certifications
- Previous SaaS Support Experience •
- Experience creating Generative AI applications, familiarity with LLMs, Vector Stores, and the latest GenAI paradigms What you do at MongoDB
- The rapidly growing MongoDB product suite, including:
- Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes
- Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, DevOps, cloud, security About MongoDB
- 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 75% of the Fortune 100 and AI-native startups, 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.
- Learn more about what it’s like to work at MongoDB , and help us make an impact on the world!
- AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.
Experience
- 5+ years of relevant experience 5+ years of
Benefits
- 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.
- 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, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision
- benefits offerings. Please note, the base salary range listed below and the
- MongoDB’s base salary range for this role in Canada is: $129,000 — $178,000 CAD
Additional details
- This deeply technical team is distributed globally, with a variety of backgrounds and expertise to ensure that they can best address any new issue or question.
- In addition to solving these complex customer challenges, the team also works on internal projects such as software development of support tools for performance tuning, benchmarking, and diagnostics.
- We are looking to speak to candidates who are based in Toronto for our hybrid working model.
- This will require you to translate technical concepts and patterns into generalist terms for our customers, helping them understand, install, and use those applications effectively.
- We’re looking for individuals who want to dig into the details of how “big data” and “web-scale” systems are successfully assembled and operated every day by organizations of every size and flavor.
- We consider all candidates with an eye for those who are self taught, curious, and multi-faceted. Our ideal associate candidate should also have:
- Strong diagnostic/troubleshooting aptitude, with significant
- experience troubleshooting end-to-end technical issues in production environments
- Excellent written and verbal communication skills in English
- Patience, empathy and a genuine desire to help people