A complete application in a minute
Tailored resume and cover letter, ready to send.
Connecteam is seeking an experienced Backend Engineer to build high‑scale data platforms and internal tools for business teams. You will work on APIs, data pipelines, and multi‑system flows powering over millions of daily users, with LLM‑assisted features and real‑time event processing.
You will own multiple services across a multi‑cloud stack (Azure, GCP, AWS), write robust REST APIs, and collaborate across teams to translate business needs into production plans while maintaining data integrity
Who Connecteam is:
Connecteam is the leading platform for managing deskless teams, trusted by over 80,000 businesses worldwide.
We built Connecteam for real operators - the people running shifts, jobs, and teams across stores and sites. The kind of work that doesn’t happen behind a desk, and doesn’t have time for messy spreadsheets, scattered group chats, or tools that don’t talk to each other.
Connecteam brings daily operations and team communication into one intuitive app - from hiring and scheduling to training, tasks, and day-to-day coordination. It gives teams the clarity and control to run the day, shift after shift, job after job.
Backed by $220M+ from Insight Partners, Stripes, and Tiger Global, Connecteam is rapidly expanding worldwide - empowering frontline teams to work smarter, stay connected, and operate with greater efficiency.
About the role:
We are looking for an experienced and hands‑on Backend Engineer to be a key player in building high‑scale Data Platforms and Products for our business teams.
This role involves working with large datasets and scalable systems, and developing internal tools to enable data‑driven decision‑making across the company.
The team builds the backend systems and data infrastructure the rest of the company relies on: internal products, APIs, event pipelines, and integrations with external tools. The data comes from the full product, at the volume of over 1.7 million daily active users. The features are multi‑system: an API, a pipeline, and often LLM‑backed flows that have to stay correct in production.
LLMs and agents are part of the job. We use them to write, review, and debug code, and we ship them inside the product: agents and LLM features that other teams depend on.
Key Responsibilities:
Our Tech Stack:
Experience & Skills:
#LI-Hybrid
Our privacy policy