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MongoDB

Senior Manager, Engineering

MongoDB is hiring a Senior Manager, Engineering in Dublin, Ireland. Level rates it ; you can apply on MongoDB.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions distributed systems, observability and team management among its tools and skills.
  • MongoDB has 373 other open roles on Level.
  • Posted within the past two weeks.

AI in this role

Senior Engineering Manager leading the Observability team to build and scale distributed monitoring infrastructure at MongoDB.

distributed-systemsobservabilityteam-managementmonitoringreliability

We are seeking a Senior Engineering Manager to join the Observability team within MongoDB. This is an opportunity to join a team that is responsible for all Observability systems that support operational metrics, visualization, logs, traces, and alerts to monitor the performance and health of our customers' MongoDB deployments. We are looking for a senior leader that is results focused, with high standards, and experience in managing large teams of engineers (or engineering managers) in designing, building and operating complex distributed systems at scale, with strict SLO on security, durability, availability and performance.

Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events.

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems expertise to build the foundational infrastructure of a popular database, join us!

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

What you’ll do

  • Manage and coach a large team of motivated individual contributors (up to 10) who are eager to learn and grow
  • Contribute to the design, infrastructure and architecture of the high-volume ingestion systems your team develops
  • Work closely with product managers, program managers, and other engineering teams to specify, prioritize and deliver new features that delight our users, internally and externally
  • Estimate task complexity, report progress, and voice risks for projects executed by the team
  • Work with customers and support engineers to fix issues and become part of our on-call rotation
  • Collaborate with team members and Engineering Managers to improve the health, design principles and best practices of our codebase and on-call rotation
  • Drive best practices for monitoring, reliability, and performance of observability services in production
  • Actively participate in growing the team by hiring
  • Foster an inclusive and respectful work environment according to MongoDB's Core Values

We’re looking for someone who

  • Has at least 8 years of professional software development experience
  • Has at least 4 years of people management experience and performance management
  • Has experience with managing larger teams or engineering managers
  • Has led engineering teams that have built, designed and maintained large scale systems
  • Can showcase delivering operationally solid systems and strives and can demonstrate examples of a high bar of engineering excellence
  • Has experience with at least one major cloud provider technology (AWS, Azure, GCP)
  • Is eager to solve tough problems and help engineers navigate tricky production outages
  • Has excellent communication skills
  • Is curious, collaborative, and motivated

Success Measures

  • In 1 month, you'll be familiar with the foundational parts of the system, the existing features, and projects within the Atlas Observability team
  • In 3 months, you will be contributing to design and development of your team’s projects and working on your team’s growth
  • In 6 months, you and your team will have ramped enough to take on medium sized projects and you will be leading your team towards its product and engineering goals. You will be supporting our customers during escalations and have joined our on-call rotation

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: 3273602419

How we rate this

Senior Manager, Engineering at MongoDB rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  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. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Distributed SystemsObservabilityTeam ManagementMonitoringReliability

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 observability was part of your work. What did you do?
  3. Tell me about a project where team management was part of your work. What did you do?
  4. Tell me about a project where monitoring was part of your work. What did you do?
  5. Tell me about a project where reliability was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Distributed Systems, Observability, Team Management, Monitoring, and Reliability. 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.

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