ZipRecruiter

Log In

2

Remote Python Developer Google Jobs in Washington

Otoe Missouria Group

DevSecOps Engineer

Washington, DC · On-site +1

... DevOps. • Security+ or cloud certifications preferred. • Python Institute certification, such as PCEP, PCAP, or PCPP, strongly preferred. Work Environment & Schedule • Full-time remote role ...

Spry Methods

DevSecOps Engineer

Washington, DC · On-site +1

Hands-on experience with Terraform and OpenTofu, including modules, remote state, and workspace ... Experience with secrets management tools such as HashiCorp Vault, plus Python and Bash scripting ...

GeoDelphi

Software Engineer

Alexandria, VA · Remote

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared GeoDelphi, Inc. dba ... Java, Python, and Go * Strong understanding of DevOps and software/application development ...

GeoDelphi

Software Engineer

Alexandria, VA · Remote

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared GeoDelphi, Inc. dba ... Java, Python, and Go * Strong understanding of DevOps and software/application development ...

GeoDelphi

Software Engineer

Alexandria, VA · Remote

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared GeoDelphi, Inc. dba ... Java, Python, and Go * Strong understanding of DevOps and software/application development ...

Black Canyon Consulting

Platform DevEx Engineer

Bethesda, MD · On-site +1

$56.50 - $77.25/hr

This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote. NCBI is ... Python applications, scripts, and libraries to provide interfaces for DevOps and customer tools to ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

... Google Cloud Platform (or similar) and best practices; * Conduct ad hoc web scraping and data ... Proficiency in Python, SQL * Experience with web scraping/crawling (e.g., Beautiful Soup, Selenium ...

next page

Showing results 1-20

All JobsRemote Python Developer Google JobsRemote Python Developer Google Jobs in Washington

Remote Python Developer Google information

What does a Remote Python Developer at Google do?

A Remote Python Developer at Google is responsible for designing, developing, and maintaining software applications using the Python programming language. They collaborate with cross-functional teams to create scalable solutions, often focusing on backend services, data analysis, automation, or cloud-based applications. Working remotely, they leverage Google’s cloud infrastructure and tools to solve complex problems and deliver high-quality code. Effective communication, strong coding abilities, and familiarity with Google’s technical ecosystem are key for success in this role.

What are the key skills and qualifications needed to thrive as a Remote Python Developer at Google, and why are they important?

To thrive as a Remote Python Developer at Google, you need strong proficiency in Python programming, software development principles, and a relevant degree or equivalent experience. Familiarity with cloud platforms (like Google Cloud Platform), version control systems (such as Git), and experience with APIs or frameworks is often required. Excellent problem-solving skills, self-motivation, and effective remote communication are vital soft skills for this role. These capabilities ensure you can deliver high-quality, scalable solutions while collaborating efficiently within a distributed team environment.

How does a Remote Python Developer at Google typically collaborate with team members across different time zones?

As a Remote Python Developer at Google, you'll frequently work with colleagues located in various regions, which requires strong communication and organizational skills. Collaboration typically happens through tools like Google Meet, Slack, and shared code repositories, with regular virtual stand-ups and code reviews to ensure alignment. Flexibility in scheduling and proactive updates are key to successful teamwork, and Google encourages a culture of documentation and asynchronous communication to accommodate time zone differences. This structure allows developers to contribute effectively while maintaining a healthy work-life balance.
What are the most commonly searched types of Python Developer Google jobs in Washington? The most popular types of Python Developer Google jobs in Washington are:
What are popular job titles related to Remote Python Developer Google jobs in Washington? For Remote Python Developer Google jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Python Developer Google jobs in Washington look for? The top searched job categories for Remote Python Developer Google jobs in Washington are:
Remote Python Developer Google jobs near you

Gen AI / Agentic Engineer

Interon IT Solutions

Chantilly, VA • Remote

Contractor

Posted yesterday

Job description

#W2 Role

Job Title: Gen AI / Agentic Engineer

Location: Remote 
Type: W2 Contract 
Experience: 10+ years overall IT, 2+ years GenAI/LLM

Job Summary

We are looking for a GenAI / Agentic Engineer to design, build, and deploy LLM-powered applications on AWS. This role is focused on real production engineering—APIs, RAG pipelines, agent workflows, evaluation, deployment, monitoring, and performance/cost tuning.

Responsibilities

  • Build and maintain LLM-powered backend services using Python and FastAPI (chat, search, summarization, Q&A).
  • Design and implement RAG pipelines end-to-end: ingestion, parsing, chunking, embeddings, indexing, retrieval, reranking, and grounded responses.
  • Develop agentic workflows for multi-step automation (tool calling, orchestration, state/memory, retries, audit logs).
  • Deploy and support GenAI workloads on AWS using ECS/Lambda, S3, SQS, DynamoDB/RDS, OpenSearch (or vector store), and related services.
  • Implement security and governance controls: auth, authorization, secrets, encryption, PII handling, and prompt-injection defenses.
  • Build evaluation and monitoring for quality, hallucination reduction, latency, and cost (test sets, regression checks, dashboards, alerts).
  • Work across full SDLC: design docs, estimates, coding, code reviews, CI/CD, testing, release, and production support.
  • Communicate architecture decisions clearly and explain tradeoffs (accuracy vs latency vs cost) to stakeholders.

Required Skills (Point-Based)

  • 10+ years overall IT experience with backend/API engineering and cloud deployments
  • 2+ years hands-on GenAI/LLM experience delivering real features (not just demos)
  • 6+ years strong Python (core Python, clean coding, debugging, packaging)
  • Experience with asyncio and concurrency (threads/async), plus profiling and performance tuning
  • Comfortable with stateful/long-running workflows: transaction handling, retries, idempotency, and failure recovery
  • 5+ years building REST APIs / microservices, strong API design and error handling
  • 5+ years with FastAPI (or similar) including middleware, dependency injection, background tasks
  • Experience implementing auth/security using JWT/OAuth, RBAC, secure configuration, secrets handling
  • Strong testing discipline using pytest (unit/integration tests, mocks, API contract testing)
  • Proven experience building RAG systems end-to-end: chunking strategies, embeddings, retrieval tuning, reranking, grounding/citations
  • Hands-on with RAG optimization: hybrid retrieval, metadata filters, top-k tuning, chunk tuning, reranking strategies
  • Experience with agentic patterns: tool calling, orchestration, memory/state, structured outputs, audit trails
  • Experience implementing guardrails: output schema enforcement (JSON), refusal handling, safety filters, prompt-injection defenses, PII masking
  • 5+ years AWS experience using ECS/Lambda, S3, SQS, DynamoDB/RDS (and related services)
  • Strong AWS security fundamentals: IAM, KMS, Secrets Manager, CloudWatch logs/metrics/alarms
  • Experience deploying LLM workloads via Amazon Bedrock (preferred) or SageMaker
  • Strong system design: scalability, caching, rate limiting, queues, resilience/failure handling
  • Ability to clearly explain GenAI architecture decisions and tradeoffs across accuracy/latency/cost

Nice to Have

  • LangChain / LangGraph / LlamaIndex (any)
  • OpenSearch vector search or vector DB experience (Pinecone/Weaviate/FAISS, etc.)
  • Docker, Terraform/CDK, CI/CD (GitHub Actions/Jenkins)
  • Experience in regulated environments (finance/healthcare/telecom) with governance controls