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60 Drift Back End Developer Jobs Hiring Near You

Sprinter Health

Machine Learning Engineer

San Francisco, CA · On-site

$140K - $200K/yr

Monitor drift, data quality, latency, cost, and performance. * Automate retraining and validation ... Background in backend engineering, data engineering, MLOps, or platform engineering. * Experience ...

Sprinter Health

Machine Learning Engineer

San Francisco, CA · Remote

$140K - $200K/yr

Monitor drift, data quality, latency, cost, and performance. * Automate retraining and validation ... Background in backend engineering, data engineering, MLOps, or platform engineering. * Experience ...

Asurion

Senior Staff, Data Engineer

Sterling, CO · On-site

$96K - $131K/yr

... drift checks, anomaly detection, reconciliation, and outlier handling. * Build, evaluate, and ... Required Qualifications * 10+ years of experience building APIs, backend services, and data ...

eTeam

Full-stack AI Correlation Engineer

Columbus, OH · On-site

... programming, Fast API backend development, real-time streaming with Redis, enterprise API ... Implements drift detection using Evidently * Owns model risk documentation for SR 11-7 compliance

Hexaware Technologies, Inc

AI Engineer

Reston, VA · On-site

The ideal candidate is a hands-on engineer with strong Python backend development skills, practical ... drift indicators, and monitoring status. Support frontend development where needed using Angular ...

Reailize

Full Stack AI Developer

Middletown, NJ · On-site

You will own features end to end from the user interface and backend services to the LLM-based ... Set up CI/CD and monitor production AI features for latency, cost, and quality drift.

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Drift Jobs Information

What is it like to work at Drift?

Drift is a company that prioritizes innovation and customer-centricity, fostering a culture of experimentation and collaboration among its employees. The company's structure is designed to be agile, with cross-functional teams working together to drive product development and customer success, and its Boston-based headquarters features an open and modern work environment that encourages creativity and teamwork. Working at Drift may appeal to candidates who are passionate about customer experience, enjoy working in a fast-paced and dynamic environment, and are motivated by the company's mission to make business buying easier.

What makes Drift an attractive place to work?

Drift is a leading conversational marketing and sales platform that has established itself as a pioneer in the industry, helping businesses to automate and personalize customer interactions. The company's workplace is known for its fast-paced and innovative environment, where employees can collaborate with talented individuals from diverse backgrounds and work on cutting-edge projects that drive growth and improvement. Joining Drift offers opportunities for professionals to make a meaningful impact, develop their skills, and contribute to the company's mission of revolutionizing the way businesses connect with their customers.

What other companies are hiring for Back End Developer jobs?

What are the most popular jobs at Drift?

What are the most popular categories at Drift?

Infographic showing various Back End Developer job openings at Drift in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

Senior Machine Learning Operations Engineer

Mercury

San Francisco, CA • On-site, Remote

$144K - $190K/yr

Full-time

Re-posted 3 hours ago

Job description

Mercury's use of machine learning in risk decisioning is growing fast in scope and in stakes. Models increasingly drive real-time decisions about fraud and financial crime, and the Machine Learning Platform (MLP) team exists to build a paved path from a trained model to a reliable production deployment, speeding up iteration, and ensuring granular production observability.
MLP owns the production ML lifecycle: the systems that take a model from registry through deployment, real-time inference, observability, and retraining. Our Data Science colleagues author and train the models; we build the platform that lets them register, deploy, and observe those models in production without carrying the operational burden themselves - and we serve low-latency, highly available scores to the decision engine that depends on them. The platform supports business decisioning broadly, with our first use cases focused on fraud risk outcomes.
At Mercury, we are committed to crafting an exceptional banking* experience for startups. Our team is passionately focused on ensuring our products create a safe environment that meets the needs of our customers, administrators, and regulators.
* Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
As part of this role, you will:
  • Build and operate the real-time inference service that scores models for the risk decision engine, with low latency and high availability as first-class requirements
  • Own model deployment infrastructure - registry and versioning, CI/CD with performance, bias, and consistency checks, shadow mode, and staged rollouts
  • Build model observability: availability, latency, and error monitoring, plus drift detection as a retraining trigger
  • Partner with Risk Data Science to take models from a clean development-to-production handoff through to production operation under MLP ownership
  • Implement experimentation capabilities such as champion/challenger and canary routing, and explainability outputs like SHAP attributions
  • Feel a strong sense of product ownership and actively seek responsibility - we self-organize on small and medium projects, and we want someone excited to help shape and build a brand-new platform team

The ideal candidate for the role has:
  • 5+ years in machine learning engineering, backend software engineering, MLOps, or a closely related field
  • Production ML service experience - deploying, serving, and operating models in low-latency, high-availability contexts
  • Strong backend engineering fundamentals in Python, with API frameworks like FastAPI or Flask
  • Experience with model deployment and lifecycle tooling: model registries, CI/CD for models, versioning, and staged rollout patterns (shadow, canary, champion/challenger)
  • Experience building observability and alerting for production services - latency, errors, and ideally model-specific signals like drift
  • Comfort with the data layer ML depends on: SQL, key-value/low-latency stores (Redis, DynamoDB, or equivalent), and streaming pipelines (Kafka, Kinesis, Redpanda, or equivalent)

Nice to have:
  • Familiarity with a modern data stack (Snowflake, dbt, Dagster, Airflow, or similar)
  • Experience operating in a regulated, audit-sensitive, or compliance-adjacent environment
  • Exposure to functional languages or willingness to work across a stack that includes Haskell, React, and TypeScript

The total rewards package at Mercury includes base salary, equity, and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:
  • US employees (any location): $166,600 - $208,300
  • Canadian employees (any location): CAD 157,400 - 196,800

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
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