Engineering Manager – Data & Ai Platform Team At Mimecast 8634

Mimecast | London

Date listed

1 month ago

Employment Type

Full time

Salary

GB£80k - GB£90k

Engineering Manager – Data & AI Platform Team at Mimecast

Who We Are:

The Data Platform team develop and maintain the data and AI platforms at Mimecast. Our mission is to democratize all Mimecast data enabling new value and intelligence to be delivered. We’re looking for a talented Engineering Manager to join our team. As an Engineering Manager on the Data Platform team you’ll be forming a new squad tasked with building our next generation high scale Data Lake. The ideal candidate will have experience leading technical teams that develop systems that process and store petabytes of data.

What we would like from you:

  • Be both highly technical, hands-on coder and an effective leader.
  • Excellent communication skills.
  • Experiencing forming and scaling teams.
  • Demonstrated ability to deliver complex projects.
  • Experience working with open source big data technologies.
  • Proven experience developing systems that process and store petabytes of data.
  • Solid experience developing in Java.
  • Develop, deploy and manage software across the full continuous delivery life-cycle.
  • Perform role whilst working toward the goals and objectives of the business.
  • Provide hands-on problem solving with a willingness to do whatever it takes to complete an objective.
  • Wisely develop practical solutions, sometimes even at the expense of purity.
  • Plan and negotiate with peers to meet deadlines.
  • Encourage others to perform at their best embracing 'best practice'.
  • Manage your own time and priorities, without the need for micro-management.

Essential skills:

  • 3+ years leading a team of Engineers.
  • 3+ years of experience working with big data technologies.
  • Experience developing large distributed storage systems.
  • Extensive experience working with Scrum.
  • Expert knowledge developing and debugging distributed applications under Linux environment.
  • Solid experience with concurrency, multithreading, server architectures, and distributed systems.
  • Strong analytics skills.
  • DevOps mindset.

As the ideal candidate, you would have knowledge in most of the following:

  • Knowledge of Kafka
  • Knowledge of several NoSQL data stores such as HDFS, Cassandra, Druid etc
  • Knowledge of container (Docker/Kubernetes) technologies (a plus).

Rewards:

We offer a highly competitive rewards and benefits package including Employee Shares Purchase Plan (ESPP), season ticket travel loan, pension, private medical insurance for you & family including eye care, employee assistance program, life cover and a gym subsidization. 25 days annual leave + family leave and long service sabbaticals.

Office features: in our hyper modern and vibrant office space we provide breakfast, snacks, fresh fruit, soft drinks, good coffee & good tea all day long. Dress code is whatever you're comfortable in. MacBooks (specific to dept) or ThinkPads, iPhones, multi-screen setups and any other tech you need. Pet Projects innovation competition, Patent support & expertise, study assistance, social & charity events, volunteering time off and an in-house Uni.

Check us out here too….