Lead Backend Engineer

Harnham

New City (NY)

On-site

USD 230,000 - 280,000

Full time

14 days+
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Benefits offered by this job

Equity
401(k)
Health insurance
Dental insurance
Vision insurance

Job summary

A cutting-edge AI finance optimization platform is seeking a Lead Backend Engineer to enhance their systems for real-time financial insights. The role requires building scalable backend services using Python, alongside collaborating with data and ML engineers. Ideal candidates possess strong skills in Python, AWS, SQL, Docker, and Kubernetes. The position offers a competitive salary of $230,000-$280,000, equity, and robust benefits including health, dental, and vision insurance.

Qualifications

  • Strong experience in Python, AWS, SQL, Docker, and Kubernetes.
  • Experience building ETL pipelines and ingesting large data volumes.
  • Solid software engineering and data infrastructure skills.

Responsibilities

  • Develop scalable backend services and APIs in Python.
  • Design and maintain ETL pipelines and data ingestion workflows.
  • Work with large-scale data using SQL and cloud-based tools.

Skills

Python
AWS
SQL
Docker
Kubernetes

Education

Computer Science or Engineering

Tools

ETL pipelines

Job description

1 week ago Be among the first 25 applicants

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$230,000.00/yr - $280,000.00/yr

Direct message the job poster from Harnham

We are working with a cutting‑edge AI‑powered cloud finance optimization platform that helps businesses reduce cloud costs through automation and machine learning. Their AI‑driven tools provide real‑time insights, cost‑saving strategies, and automated financial operations.

The Role:

As a Lead Backend Engineer, you will build and optimize the systems that power real‑time financial insights and automation. This role involves backend development, data ingestion, and infrastructure work, collaborating closely with data and ML engineers in a fast‑paced, product‑driven environment. Other responsibilities include:

  • Develop scalable backend services and APIs in Python.
  • Design and maintain ETL pipelines and data ingestion workflows.
  • Work with large‑scale data using SQL and cloud‑based tools.
  • Deploy and manage infrastructure using AWS, Docker, and Kubernetes.
  • Contribute to infrastructure as code and CI/CD processes.

Requirements:

  • Strong experience in Python, AWS, SQL, Docker, and Kubernetes.
  • Experience building ETL pipelines and ingesting large data volumes.
  • Solid software engineering and data infrastructure skills.
  • Ability to thrive in a fast‑paced, high‑growth environment.
  • Background in Computer Science, Engineering, or related fields preferred.
  • Excellent communication skills and a hands‑on approach to solving complex problems.

The Benefits:

Base salary of $230,000 - $280,000 plus equity, 401(k), health, dental, and vision benefits.

How to Apply:

Please register your interest by sending your resume via the Apply link on this page.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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