Data ML Engineer

We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better everyday. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers.

This position is located in London, England. Our office is situated in a core location near Waterloo and Blackfriars on the Southbank. We call our offices Centres of Energy, because they serve as hubs where we accelerate productivity and collaboration, inspire creativity, and cultivate a culture of connection and celebration. Our teams coordinate their time in Centres of Energy to reflect how they work best.

LogicMonitor is proud to be an equal opportunity employer. We deeply care about our employees’ well-being, fostering an environment where every individual is valued and respected. We celebrate the diversity of our team, and are committed to fostering a culture of inclusivity. Come as you are, be yourself, and let’s grow together.

To learn more about life at LogicMonitor, check out our Careers Page.

What You’ll Do:

LM Envision, LogicMonitor’s leading hybrid observability platform powered by AI, helps modern enterprises gain operational visibility into and predictability across their IT stacks, so they can continue to deliver extraordinary employee and customer experiences. LogicMonitor has a layered approach to intelligence, where AI and Machine Learning is baked into every facet of the LM Envision platform to help IT teams improve efficiency, minimize alert fatigue, proactively predict trends, and maximize enterprise growth and transformation.

Our customers love LogicMonitor’s ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn’s Best Places to Work for the sixth year in a row!

The Senior Data Engineer on the Engineering team is responsible for the implementation, design, architecture and quality control of the data pipelines, tools and services that support the Dexda AIOPS platform. We are looking for an enthusiastic engineer to join us in building the next generation of our data platform.

A successful Sr. Data Engineer will produce all required functionality in a timely manner and will communicate and work with colleagues to solve problems and improve the systems they work with. Furthermore, the Sr. Data Engineer should have a deep understanding and knowledge level of the systems they are working with, to the point that they can help others on the team grow and develop.

Here’s a Closer Look At This Key Role:

• Prioritise and plan for deliverables in an iterative development strategy
• Design, document, code, and test technical solution for new systems or enhancements to existing systems.
• Working with various teams in LogicMonitor to deliver software products that support LogicMonitor’s business growth.
• Coach and lead other team members from a technical perspective in design and implementation.
• Envision system features and functionalities by analysing business requirements.
• Troubleshoot and resolve product/application issues for escalated support cases.
• Collaborate with a diverse, distributed development organisation. Our development team spans multiple cities in the US, UK and Asia.
• Ability to tackle performance and design issues at a deep technical level.
• Understanding and improvement of development process and application deployment

What You’ll Need:

• 6+ years of software development experience in commercial or enterprise applications.
• 4+ years of full-time Scala development. Writing clean, maintainable and well tested code. With a drive for modern software engineering approaches
• In-depth knowledge of scalable data systems, including: NoSQL stores such as HBase; distributed object stores, message queues such as Kafka; distributed filesystems such as S3 and HDFS; data platforms such as Spark
• Expertise at building, deploying and tuning jobs with Apache Spark
• Ability to write maintainable and deploy well-tested production code.
• Familiarity with container technology (Docker, Kubernetes, etc.)
• Experience in working with Data Scientists to turn prototypes in scalable applications
• Ability to work with a development team and develop strong, reliable, and effective relationships with team members
• Excellent in communication (written and verbal) and collaboration with other functional teams (Support Engineering, Tools, Product, etc.).
• Degree or higher in computer science or related field

Benefits:

At LM we believe that a total rewards package should be built with the whole person in mind, so we’ve designed a total rewards package that’s almost as complex as you are. We want to support our employees to be healthy and happy!