Principal Data Engineer, Mimecast
Machine Learning
Office located in Lexington, MA
Cloud cybersecurity services
Posted today
Cloud cybersecurity services
1001+ employees
Posted today
Office located in Lexington, MA
1001+ employees
Company mission
To stop bad things from happening to good organisations.
Role
Who you are
- 10+ years of experience working on data processing and engineering for ML models, with 6+ years developing large-scale data and ML systems twhich receive billions of requests per day
- Expert level know-how of designing and implemention synchronous, asynchronous and batch data processing operations
- Expert level programming skills in Python, along with experience in using relevant tools and frameworks such as PyTorch, FastAPI and Huggingface; strong programming skills in Java are a plus
- Expert level know-how of ML Ops systems, data pipeline design and implementation, and working with ML platforms (preferably AWS SageMaker)
- Strong analytical and problem-solving abilities, with a keen eye for detail and accuracy
- Curiosity and a strong growth mindset with a demonstrable history of learning quickly in a loosely structured, rapidly changing environment
- Excellent collaboration and communication skills
- At least a bachelor's degree in computer science or other relevant fields
What the job involves
- You'll have the chance to build large-scale data pipelines moving billions of data points daily in real-time, and develop, deploy and utilise cutting-edge ML models, empowering you to thwart those cyber villains and safeguard businesses and individuals alike.
- As a company that is well-established and committed to growth, we are actively expanding our ML team with a Principal Data Engineer – Machine Learning role which is amongst the most senior roles in the team, directly reporting to the Director of Data Science.
- Join us on this exhilarating journey, where you'll shape the future of cybersecurity by developing large-scale data products for ML models that push the boundaries of innovation and make an indelible impact in protecting our digital world.” – Hiring Manager
- Design and lead the implementation of real-time data pipelines which transport billions of data points per day, with strong traffic variations around peak hours
- Design and deploy state-of-the-art ML (predominantly NLP and voice recognition) models that are optimised for both accuracy and throughput
- Transform prototypes into production-ready data and ML applications that meet throughput and latency requirements
- Deploy and manage data and ML infrastructure necessary for productionising code (Kafka, Docker, Terraform, etc)
- Build efficient data pipelines between on-premise and cloud environments to handle text and audio data processing loads for ML models
- Deploy NLP models in cloud environments (AWS SageMaker) through Jenkins
- Design and implement MLflow and other ML Ops applications to streamline ML workflows which adhere to strict data privacy and residency guidelines
- Communicate your work throughout the team and related departments
- Mentor and guide junior members of the team, establish and champion best practices and introduce fresh ideas and concepts
Our take
Mimecast’s next-gen cloud-based security, archiving, and continuity services provide comprehensive risk management in a fully integrated solution, protecting over 40,000 customers worldwide and blocking 162+ million threats. With its adaptable platform, Mimecast focuses on developing capabilities to meet increasing risks and forming strategic partnerships.
Following its acquisition by Permira, Mimecast has expanded globally, reaching more countries throughout 2023. Recently, Mimecast acquired Elevate Security, enhancing its offerings with insights into human behaviours and risks. Elevate Security's platform flags high-risk individuals with a precision risk scoring algorithm, complementing Mimecast’s Awareness Training for targeted intervention and training.
Since 2003, Mimecast has empowered customers to mitigate risks and manage complexities in a threat landscape driven by cyberattacks and human error. Mimecast’s advanced solutions in threat detection, brand protection, and data retention enable organisations to work protected.
Freddie
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Sep 2012
$62m
SERIES C
Jan 2010
$21m
SERIES B
Total funding: $88.8m
Company benefits
- Your finances and your future: - Pension - Communication Allowance - Employee Referral
- Your health: - Mediclaim - Insurance Coverage - Meal Coupons - Virtual Therapy Services
- Your life and your family: - Casual Leave - Flexible working - Family Leave - Long Service Leave - Employee Assistance Program
- Your community: - Volunteer Days - Gift Matching
Company HQ
City of London, London, UK
Leadership
Peter Bauer
(Member of the Board of Directors and Co-founder)Former Managing Director of FAB Technology (Co-Founder) and Idion Solutions Cape Town. Was the CEO of Mimecast between 2003 and 2024.
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