Backend Developer for Large-Scale Applications

3 weeks ago


San Francisco, California, United States Tools for Humanity Full time
Job Description

We are seeking a talented Backend Developer to join our AI & Biometrics team at Tools for Humanity. As a key member of our team, you will be responsible for designing and developing scalable backend services that support our large-scale applications.

This opportunity is perfect for individuals who thrive in high-paced environments and have a passion for delivering exceptional results in short timelines. You will work closely with cross-functional teams to enhance system security and compliance, ensuring the highest standards of data handling and service delivery.

About the Opportunity

As a Backend Developer on our AI & Biometrics team, your primary focus will be on leading the development and maintenance of backend services, including secure data upload and download processes. You will also be responsible for overseeing and optimizing container orchestration and automation tools such as Kubernetes, ArgoCD, and Airflow.

Key Responsibilities:
  • Design and develop scalable backend services using Python, Go, and other relevant technologies.
  • Leverage expertise in cloud platforms like AWS to ensure seamless deployment and management of applications.
  • Collaborate with other teams to enhance cross-functional systems and security measures, ensuring compliance with industry standards.
  • Drive continuous improvement initiatives in software quality and system operations, setting benchmarks and leading the team toward best practices in software development.

About You

To be successful in this role, you should have:
  • Proven experience in backend development, preferably in a senior role managing AI-driven applications.
  • Strong programming skills in Python and Go, with expertise in GitHub Actions and Terraform.
  • Expertise in managing and deploying applications on cloud platforms like AWS, with a strong grasp of permission management and security protocols.
  • Experience with database management and operations using tools like MongoDB, Redis, and other NoSQL databases.
  • Knowledge of MLOps and large-scale machine learning model training tooling (e.g., MLflow, AWS pCluster, SLURM).

PAY TRANSPARENCY STATEMENT

The reasonably estimated salary for this role at TFH ranges from $250,000 - $350,000, plus a competitive long term incentive package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience.

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