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Senior Backend Developer Python Jobs in Detroit, MI

V2Soft

Java Backend Engineer

Dearborn, MI · On-site

$46.50 - $60.25/hr

Skills Required: 1. Java - Backend development using Java Spring Boot 2. Google Cloud Platform ... Senior Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides. 10+ years in IT; 8+ ...

Stellantis

Ontology Engineer

Auburn Hills, MI · On-site

... robust backend data solutions in support of global purchasing analytics. This role is focused on ... Python to support our enterprise analytics architecture. You will work across platforms such as ...

FastTek

Core Senior Engineer

Dearborn, MI · On-site

$112K - $148K/yr

... developer with expertise in Python and a strong foundation in cloud platforms to build and manage ... Generally, platform engineers fall into two categories: backend engineers, who design and implement ...

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Senior Backend Developer Python information

See Detroit, MI salary details

$15.8K

$146.7K

$189.1K

How much do senior backend developer python jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior backend developer python in Detroit, MI is $146,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,000.00 and $165,800.00 per year, depending on experience, location, and employer.

What does a senior backend developer Python do?

A Senior Backend Developer Python designs, builds, and maintains the server-side logic and databases for web applications, primarily using the Python programming language. They are responsible for ensuring high performance, responsiveness, and security of applications, integrating with front-end elements, and working closely with other developers and stakeholders. Additionally, they often mentor junior developers, review code, and contribute to architectural decisions to ensure scalable and robust backend systems.

What is the difference between Senior Backend Developer Python vs Backend Developer Python?

AspectSenior Backend Developer PythonBackend Developer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
CertificationsRelevant certifications (e.g., AWS, Python)Optional, entry-level certifications
Work EnvironmentDesigning architecture, mentoringImplementing features, coding
ResponsibilitiesSystem design, team coordinationCode development, bug fixing

The main difference between a Senior Backend Developer Python and a Backend Developer Python lies in experience, responsibilities, and leadership. Senior developers typically lead projects and mentor others, while backend developers focus on coding and feature implementation. Both roles require strong Python skills and relevant certifications, but senior roles demand more experience and strategic involvement.

What are the key skills and qualifications needed to thrive as a senior backend developer Python?

To thrive as a Senior Backend Developer Python, you need deep expertise in Python programming, software architecture, and experience with databases and API development, usually supported by a computer science degree and several years of professional coding experience. Familiarity with frameworks like Django or Flask, cloud platforms (e.g., AWS, Azure), and version control systems such as Git is typically expected, along with knowledge of containerization tools like Docker. Strong problem-solving skills, collaboration, and clear communication set top performers apart in this role. These skills ensure the development of robust, scalable backend systems that meet business needs and support seamless integration with other technologies.

What are some common challenges faced by senior backend developers working with Python, and how can they be addressed?

Senior Backend Developers working with Python often encounter challenges such as ensuring high performance and scalability of applications, especially when dealing with large volumes of data or high user traffic. Managing dependencies and maintaining clean, modular codebases can also be demanding in complex projects. These challenges are typically addressed by leveraging advanced Python frameworks, implementing robust testing practices, and collaborating closely with DevOps and frontend teams to optimize system architecture and deployment pipelines. Continuous learning and staying updated with best practices in Python and backend development are also key to overcoming these obstacles.
What are the most commonly searched types of Backend Developer Python jobs in Detroit, MI? The most popular types of Backend Developer Python jobs in Detroit, MI are:
What are popular job titles related to Senior Backend Developer Python jobs in Detroit, MI? For Senior Backend Developer Python jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Senior Backend Developer Python jobs in Detroit, MI look for? The top searched job categories for Senior Backend Developer Python jobs in Detroit, MI are:
Senior Backend Developer Python jobs near you
Infographic showing various Senior Backend Developer Python job openings in Detroit, MI as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $146,746 per year, or $70.6 per hour.

AI Machine Learning Engineer (AI / ML: Python / Go)

Benzinga

Detroit, MI • On-site, Remote

Full-time

Posted 22 days ago

Job description

About Benzinga
Benzinga is a fast-growing financial media and data technology company reshaping how investors access information. We combine artificial intelligence, machine learning, and real-time data pipelines to surface insights before they hit the mainstream. Our platforms deliver structured news, sentiment analytics, and financial data APIs used by leading banks, fintechs, and AI companies worldwide.
We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of data science and backend engineering - someone who can take a model from notebook to production, and architect intelligent systems in Go and Python that scale to millions of requests.
The ideal candidate is a self-starter who independently identifies opportunities, experiments with new approaches, and ships production-ready solutions without constant direction.
Key Responsibilities
AI / Machine Learning
  • Research, design, and deploy machine learning models across NLP, time-series forecasting, and event detection domains.
  • Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for financial news and quantitative data.
  • Develop model serving APIs and scalable inference layers using Go or Python.
  • Implement model monitoring, drift detection, and continuous retraining pipelines.
  • Work with financial text (earnings call transcripts, filings, news) to extract structured insights.
  • Collaborate with data engineers to build training datasets, feature stores, and embedding databases.

Backend & Infrastructure
  • Develop and maintain high-performance Python or Go microservices that integrate with AI systems and Go data APIs.
  • Design and optimize real-time inference pipelines on AWS, leveraging ECS/EKS, S3, and Lambda.
  • Ensure low-latency, fault-tolerant, and scalable delivery of AI-powered data.
  • Implement CI/CD for ML workflows, including containerization, automated deployment, and versioning.
  • Partner with DevOps to manage cloud infrastructure and ensure robust observability for AI workloads.

Requirement for applying:
  • During your screening you will be required to submit a Loom video walkthrough of your most exceptional product, share relevant code/repo links, and describe the biggest challenge you faced building it.

Required Qualification
  • 4+ years of experience in AI/ML or data engineering roles, with a proven track record of deploying ML models in production.
  • Computer science degree (Bachelor minimum)
  • Deep proficiency in Python (data, ML) and Go (backend, microservices).
  • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or Hugging Face.
  • Experience with transformer architectures, embeddings, or fine-tuning LLMs.
  • Strong understanding of data pipelines, feature extraction, and model lifecycle management.
  • Familiarity with Docker, Kubernetes, and AWS (EKS, S3, Lambda, EC2).
  • Excellent problem-solving skills and ability to work independently in a distributed environment.

Preferred Skills / Experience
  • Startup experience.
  • Financial services or fintech background
  • Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems.
  • Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN).
  • Experience with Kafka, LangChain, or data streaming architectures.
  • Familiarity with financial data systems, real-time analytics, or news NLP.
  • Exposure to MLOps tools (MLflow, BentoML, SageMaker, Airflow, etc.).
  • Contributions to open-source ML or Go projects are a strong plus.

Tech Stack
  • Languages: Python, Go
  • ML Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain
  • Cloud: AWS (EKS, ECS, S3, Lambda, EC2, IAM)
  • Containers & Orchestration: Docker, Kubernetes
  • Data & Streaming: Kafka, Postgres, OpenSearch
  • CI/CD: GitHub Actions, GitLab CI
  • Monitoring: Datadog, Prometheus, Grafana
  • Version Control: Git (Gitlab / Github)

Why Join Benzinga
  • Build and ship production AI systems that shape how financial markets understand information.
  • Operate with full creative freedom - explore, experiment, and execute your ideas end-to-end.
  • Work with a lean, highly technical team where initiative and ownership are celebrated.
  • Fully remote, high-trust environment that rewards curiosity, speed, and execution.
Benzinga logo

About Benzinga

Sourced by ZipRecruiter

Benzinga is a full-service news and media company with three main areas of expertise: real-time news, actionable trading ideas and insightful commentary. We offer coverage of all aspects of the financial market including corporate, economic and political content. With strong connections in and around the market, we strive to provide high quality and relevant news for the real-time environment that defines today's world.

Industry

Video and audio streaming services

Company size

11 - 50 Employees

Headquarters location

Detroit, MI, US

Year founded

2010

Social media

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