Platform Engineering Manager

  • Sector: ConSol US Software & Web Development
  • Contact: Elsbeth Pope
  • Contact Email: elsbeth.pope@consolpartners.com
  • Start Date: ASAP
  • Client: ConSol Partners
  • Location: New York
  • Salary: £190000 - £210000 per annum + Equity
  • Expiry Date: 17 October 2021
  • Job Ref: BBBH188223_1631869820

Platform Engineering Manager

Founded in 2016 we are the first search engine for company discovery, providing a single source of truth to find small to middle market private companies. We are developing cutting-edge search technology leveraging NLP and ML to automate the B2B research process on millions of small and medium businesses in the U.S. We've recently experienced significant growth and raised capital from top investors who built Google and transformed the finance industry.

We are looking for an experienced Platform Engineering Manager with strong backend engineering skills.

Responsibilities:

Contribute technically to projects

Manage a team of 5-8 engineers and work closely with them by providing mentorship

and guidance and doing regular 1:1s, performance reviews

Work with product and other teams to build and deliver scalable technical solutions

Contribute by delivering high performing teams and high-quality software

Lead development of distributed data and search infrastructure in collaboration with

ML+NLP researchers

Scale data pipelines to billions of documents that drive millions of searches

Contribute by building an excellent team culture and setting up engineering tenets

Collaborate with the product on building the product roadmap, and assisting the team in

designing, developing, and deploying solutions with metrics coverage

Work with an NYC focused development team and willing to work with globally

distributed team-members

Manage Data and Backend Engineers

Minimum Qualifications:

Experience of 7-8 years of experience with 2-3 years of proven experience in

management

Tech leader in guiding full-stack, cross-functional initiatives

You know how to work with data-centric distributed systems, and are comfortable

supporting microservice and serverless architectures

Deep experience with search technologies like Elasticsearch

Experience collaborating with ML practitioners to build data and analytical systems

Experience with Python, Databricks, Postgres, NoSQL, AWS, Kubernetes, NLP, Spark,

and other big data technologies.

Knows how to balance team morale, while continuing to execute against aggressive

deadlines.

Track record of growing teams, understand the challenges, and have executed on

proven solutions.

Mentor and coach engineers through 1:1, performance evaluation

Work in a distributed architecture with APIs, data-centric event-driven architecture

Experience engineers across different skill sets