Software Engineer, Automation & Tooling

The HubSpot People Operations Data Group is dedicated to helping HubSpot 'Grow Better' by empowering its employees to 'Grow Better.' As HubSpot continues to expand the People Operations Data Group needs to scale along with it. To accomplish this we are dedicated to investing in enhanced processes and automations that will empower our Data Analysts and ML/AI Engineers to generate valuable insights for HubSpot.    As HubSpot scales we aim to streamline operations by leveraging tooling and automation reducing time/effort spend on cumbersome and repetitive tasks.

We are seeking a software engineer with a diverse background who can operate independently and deliver results.   While some tools & automations will involve creating simple UIs for employee use other will entail developing scripts and services to facilitate tasks such as data movement/pipelining  scheduled interactions with APIs and data platform monitoring/alerting. This is *not a QA engineering role* .    It is a challenging and dynamic software engineering role in which the main focus is in making our Data Analytics platform as robust as possible and giving our “Data People” (data analysts ML engineers data scientists) the support they need to generate great insights for HubSpot.

Despite HubSpot's size our team operates as a small independent unit within the company. The ideal candidate will demonstrate resourcefulness in integrating various technologies to solve complex problems. The diverse range of projects ensures that this role remains challenging and dynamic steering clear of repetitive tasks.

Key Responsibilities:

• Develop custom tools and scripts using languages (Python Ruby Bash and Go Node.JS etc.)

• Assist in data ingestion cleansing transformation and movement (API scraping Kafka S3 Lambda Snowpipe AWS Glue etc.)

• Manage monitor and deploy code (EC2 Kubernetes Docker Jenkins and Airflow etc.)

• Engage in 'Skinny UI/UX' development for internal use (JavaScript React Flask and Django etc.)

• Establish infrastructure and proper processes for ML model training (Sagemaker SnowPark Jupyter etc.)

Qualifications:

• Excellent coding skills.  Python/Java preferred

• Ability to build/manage UIs (Front-end and Back-end) and deploy & schedule utility scripts/sservices

• Demonstrated ability to learn and adapt quickly with a strong desire to explore new tools & technologies

• Technologically creative mindset capable of architecting innovative solutions even in the absence of detailed technical specifications

• Commitment to continuous improvement and making processes more efficient for the future

• Strong prioritization skills with the ability to assess effort versus benefit and make informed decisions