Riverhouse Technologies Logo

Riverhouse Technologies

Sr. Python Developer

Posted 4 Days Ago
Remote
Hiring Remotely in United States
1M-2M Annually
Senior level
Remote
Hiring Remotely in United States
1M-2M Annually
Senior level
Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.
The summary above was generated by AI

Senior Python Developer

Job Description:

We are seeking an experienced Senior Python Developer with a deep understanding of cloud platforms and services to join our growing, dynamic team. Experience with Generative AI (Gen AI) technologies is a strong plus.

Responsibilities:

  • Design, develop, and maintain Python-based applications, ensuring scalability, reliability, and security.

  • Architect and implement cloud-native solutions using platforms like AWS, Azure, or Google Cloud.

  • Lead the development and deployment of microservices and containerized applications (Docker, Kubernetes).

  • Optimize and troubleshoot cloud infrastructure for performance, scalability, and cost efficiency.

  • Mentor junior developers and foster a culture of continuous learning and innovation.

  • Ensure high code quality and reliability through code reviews, testing, and best practices.

Required Skills:

  • 5+ years of professional experience as a Python developer.

  • Extensive cloud experience with platforms like AWS, Azure, or Google Cloud.

  • Strong knowledge of Python frameworks such as FastAPI, Django, or Flask.

  • Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).

  • Experience with message brokers and real-time processing systems (RabbitMQ, Kafka, etc.).

  • Proficiency in building and managing CI/CD pipelines (e.g., GitLab CI, Jenkins, Azure Pipelines).

  • Strong understanding of cloud security principles, networking, and serverless architecture.

  • Familiarity with relational, NoSQL database systems and cloud-native data services (RDS, CosmosDB, etc.).

  • Experience in architecting and implementing RESTful APIs, Web Sockets, and microservices.

  • Strong verbal and written communication skills for effective teamwork and stakeholder engagement.

  • Proven ability to lead projects and mentor junior team members.

  • Strong problem-solving skills and ability to work independently as well as collaboratively.

Preferred Skills:

  • Experience with Generative AI, popular large language models and/or machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face.

Similar Jobs

19 Days Ago
Remote or Hybrid
2 Locations
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead the design and implementation of data architecture strategies within AI and ML, collaborating with stakeholders to enhance data solutions and ensure compliance with governance policies.
Top Skills: AWSAzureDatabricksFastapiGCPPythonSnowflakeSQL
4 Days Ago
In-Office or Remote
Senior level
Senior level
Information Technology • Software
Design, build, and scale production-grade microservices to power GenAI/LLM features. Architect backend infrastructure for high-throughput AI workloads on AWS, collaborate with product and data science teams, and maintain clean, documented, and supported services.
Top Skills: AnthropicAws Ec2Aws EcsAws LambdaAws S3GitLangchainLlmMicroservicesOpenaiPython
4 Days Ago
Remote or Hybrid
United States
Senior level
Senior level
Professional Services • Software • Business Intelligence • Consulting
Founding engineer responsible for architecting and building core product systems, writing scalable Python backend code, designing and maintaining AI/ML infrastructure, instituting best development practices (testing, CI/CD), collaborating on product roadmap, and mentoring future engineers.
Top Skills: Ai/Ml InfrastructureAWSAzureC++Ci/CdGCPGenerative AiJavaKubernetesLangchainLlamaindexLlmsPackagingPythonPython Build SystemsTestingTypescript

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account