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
Seattle, WA, USA
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
2 Locations
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 Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account