Hiring.Camp

Director, Engineering

MongoDB

·
Location
Cork, Ireland; Dublin, Ireland · Dublin
Workplace
Remote, Hybrid
Type
Full-time
Department
Engineering
Seniority
Director
Experience
7+ years
Source
Custom

Description

We are seeking a Director to join and lead the Cluster to Cluster Synchronization team. We are working to make migration and recovery of MongoDB clusters easy, fast, and reliable. This team is responsible for building scalable, performant, and low-downtime migration tooling such as mongosync, as well as developing and delivering modern disaster recovery systems and managed migration solutions as part of the Atlas Live Migration service. Our tooling is critical for migrating enterprise workloads into Atlas as well as making sure important data workloads stay online in the event of an outage.

Our global team is growing fast. We are hiring locally in Dublin. This rapid growth requires a Director who will help the team meet its ambitious growth goals for both people and projects.

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

Successful candidates will have a majority of the following qualities

  • At least 7 years of experience in a management position. Experience as a manager of engineering managers is required
  • Proven success with hiring for, mentoring and growing strong geographically distributed software engineering teams
  • Commitment to building and fostering a diverse and supportive culture
  • Excellent verbal and written technical communication skills and strong desire for cross-team collaboration
  • Excellent time management skills and the ability to make and evaluate realistic assessments of project complexity
  • Proven success in designing, writing, testing and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases. Golang knowledge is a plus, systems programming language familiarity is required (go, rust, C++, C)
  • Has led the launch of new features and maintained them in production with a high level of observability and operational excellence
  • Familiarity with distributed systems such as consensus protocols, data replication, distributed transactions, and fault tolerance
  • Familiarity with database internals or building core components for data processing systems is a plus

Position Expectations

  • Ensure smooth and timely execution of projects
  • Contribute ideas and work with Product Management as well as technical and senior leadership to build a roadmap for the team’s deliverables
  • Appropriately allocate team resources, balancing efforts between building new features and supporting/maintaining previous releases
  • Provide direction to the team on balancing short-term results with long-term goals
  • Grow your organization ensuring desirable skill composition, high job satisfaction and vibrant culture
  • Delegate effectively splitting your own time between technical and management aspects of the position
  • Lead by example, assuring the team operates with company core values, engineering cultural standards, and our leadership commitment in mind
  • Serve as a representative for your team within the larger engineering organization

Success Measures

Within 3 months:

  • Know your team members’ strengths and professional objectives
  • Understand and be able to explain the technical architecture of the migration tooling, live migrate, and disaster recovery components
  • Contribute in technical discussions and provide meaningful reviews of team members’ technical documents based on your prior experience

Within 6 months:

  • Ensure team delivers with high quality and predictability
  • Supervise the short-term (quarterly and annual) planning process for your team
  • Establish working professional relationships with other key leads and directors
  • Mentor team leaders
  • Supervise hiring and retention for your team

Within 12 months:

  • Have a vision for the future of cluster-to-cluster data movement and the components aligned with your teams
  • Have a plan to execute that vision along with planning for team growth
  • Represent team interests and work with other stakeholders to balance priorities among requests from other teams to come up with quarterly and yearly roadmaps
  • Drive experiments and changes to procedures and processes to optimize team velocity and scaling

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: 4273615143

Skills

AWSAzureMongoDBGo

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