Explore 3 python developer iii jobs from 3 hiring companies in Nashville, NC, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-developer-iii

Python Developer Iii

Rocky Mount

Wilson

Raleigh

West Raleigh

Red Oak

Wake Forest

Knightdale

Tarboro

Henderson

Clayton

Greenville

Cary

Roanoke Rapids

Goldsboro

Garner

Smithfield

Morrisville

Wendell

Rolesville

Python Developer Iii Jobs

Google

LexisNexis

RELX

Hybrid

Onsite

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Raleigh, NC, USA; Durham, NC, USA.<h3>Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>2 years of experience programming in C++, Python, or Java.</li>
</ul> <h3>Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.</li>
<li>2 years of experience with data structures or algorithms in either an academic or industry setting.</li>
<li>2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.</li>
<li>Experience developing accessible technologies.</li>
<li>Proficiency in code and system health, diagnosis and resolution, and software test engineering.</li>
</ul><div><h2>About the job</h2>Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. <div> </div><div>Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about <a href="https://careers.google.com/benefits/" target="_blank">benefits at Google</a>.</div></div><div><h2>Responsibilities</h2><ul>
<li>Write product or system development code.</li>
<li>Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.</li>
<li>Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also <a href="https://careers.google.com/eeo/">Google's EEO Policy</a> and <a href="/jobs/dist/legal/OFCCP_EEO_Post.pdf">EEO is the Law.</a> If you have a disability or special need that requires accommodation, please let us know by completing our <a href="https://goo.gl/forms/aBt6Pu71i1kzpLHe2">Accommodations for Applicants form</a>.

Software Engineer III

Bachelor's degree or equivalent practical experience. 2 years programming in C++, Python, or Java. Preferred: advanced degrees and 2+ years in algorithms, performance, and large-scale systems.

Are you looking to develop your Machine Learning Engineer career?Do you enjoy coaching others to achieve high standards?This is a full-time position based in Raleigh, NC. (Hybrid - 3 days in office)About the RoleWe are seeking a Consultant-level Machine Learning Engineer to lead the implementation and scaling of AI systems for legal products. This role focuses on how to build and scale—owning system architecture, infrastructure, and productionization of ML/LLM solutions.You will partner with Data Scientists to turn validated models and prototypes into reliable, high-performance, customer-facing systems.<div></div><div></div>Key Responsibilities<ul><li>Architect and implement scalable ML/LLM systems in production.</li><li>Build and deploy LLM applications, including RAG pipelines and agentic systems.</li><li>Implement hybrid search systems (semantic &#43; lexical) using embeddings and search platforms.</li><li>Develop and maintain APIs, microservices, and model serving infrastructure.</li><li>Build data pipelines and streaming systems for large-scale data processing.</li><li>Define and develop reusable frameworks, libraries, and infrastructure for AI/ML across teams.</li><li>Optimize systems for latency, scalability, reliability, and cost efficiency.</li><li>Establish best practices for deployment, monitoring, observability, and CI/CD.</li><li>Collaborate with Data Scientists to productionize models and integrate into products.</li><li>Provide technical leadership in system design and engineering standards.</li></ul><div></div>Required Qualifications<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>Strong experience implementing and scaling production ML/LLM systems.</li><li>Deep experience with LLM application development, including RAG and prompt orchestration.</li><li>Strong experience designing and implementing agentic systems using agent frameworks (e.g., LangChain, LangGraph, AutoGen, Google ADK), including orchestration of multi-step workflows in production environments.</li><li>Strong experience with hybrid search (semantic &#43; lexical), embeddings, and search platforms (e.g., Solr, OpenSearch).</li><li>Expertise in distributed systems and cloud-native development, including AWS (S3, DynamoDB).</li><li>Experience with streaming and messaging systems (e.g., Kafka, SQS) and caching (e.g., Redis).</li><li>Proficiency in Python and experience with systems languages (e.g., Rust, Go, Scala).</li><li>Experience building scalable APIs (REST/GraphQL).</li><li>Experience with containerization and orchestration (Docker, Kubernetes).</li><li>Strong software engineering fundamentals (system design, testing, CI/CD).</li></ul><div></div>Preferred Qualifications<ul><li>Experience with LLM platforms (e.g., ChatGPT/OpenAI, Claude, Gemini, LangChain, Google ADK).</li><li>Experience with DevOps and infrastructure as code (e.g., Terraform, CloudFormation, Jenkins).</li><li>Experience with big data technologies (e.g., Spark, Hadoop).</li><li>Familiarity with graph databases (e.g., Dgraph, Neo4j, Neptune).</li><li>Experience building high-availability, low-latency systems.</li><li>Experience in legal or regulatory domains.</li></ul><div></div>Key Competencies<ul><li>Strong system architecture and scalability mindset.</li><li>Ownership of implementation, performance, and reliability.</li><li>Ability to translate data science solutions into production systems.</li><li>Cross-functional collaboration with DS, product, and platform teams.</li><li>Excellent debugging, optimization, and operational skills.</li><li>Clear communication of technical designs and trade-offs.</li></ul>#AIFluent&amp;#xa;&amp;#xa;U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates.&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;This job is eligible for an annual incentive bonus.&amp;#xa;&amp;#xa;We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click <a target="_blank" href="https://www.relx.com/careers/join-us/benefits">here</a> to access benefits specific to your location.We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our <a target="_blank" href="https://nam11.safelinks.protection.outlook.com/?url&#61;https%3A%2F%2Fforms.office.com%2Fr%2FeVgFxjLmAK&amp;data&#61;05%7C02%7CSharon.Martin%40lexisnexis.com%7C2104edc7df90474aaf1108dd8cccf948%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638821534169028029%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata&#61;2Dm7y%2B%2Flckb5oqa13cjE0WAV1kG%2BuqVQDi4dpvwoM5E%3D&amp;reserved&#61;0">Applicant Request Support Form</a> or please contact 1-855-833-5120.Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams <a target="_blank" href="https://nam11.safelinks.protection.outlook.com/?url&#61;https%3A%2F%2Fstories.relx.com%2Fhow-to-avoid-job-scams%2Findex.html&amp;data&#61;05%7C02%7CSharon.Martin%40lexisnexis.com%7C2104edc7df90474aaf1108dd8cccf948%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638821534169036749%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata&#61;bMcV1zP1yRXUuNWYwyGuPPb7lCyTuoA%2BGPT0d5MfO8I%3D&amp;reserved&#61;0">here</a>.Please read our <a target="_blank" href="https://nam11.safelinks.protection.outlook.com/?url&#61;https%3A%2F%2Fwww.relx.com%2Fcareers%2Fjoin-us%2Fprivacy&amp;data&#61;05%7C02%7CSharon.Martin%40lexisnexis.com%7C2104edc7df90474aaf1108dd8cccf948%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638821534169045885%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata&#61;X%2BrqkisseFh6q%2BEqRLuRvCa2dfT9Q2QeATdfGRVQxnI%3D&amp;reserved&#61;0">Candidate Privacy Policy</a>.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.USA Job Seekers:<a target="_blank" href="https://nam11.safelinks.protection.outlook.com/?url&#61;https%3A%2F%2Fwww.eeoc.gov%2Fsites%2Fdefault%2Ffiles%2F2023-06%2F22-088_EEOC_KnowYourRights6.12.pdf&amp;data&#61;05%7C02%7CSharon.Martin%40lexisnexis.com%7C2104edc7df90474aaf1108dd8cccf948%7C9274ee3f94254109a27f9fb15c10675d%7C0%7C0%7C638821534169055021%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata&#61;mEoTzyFpKtgiRgZnquZyELr%2FkuMrW4%2F9zYB4HMS4hdI%3D&amp;reserved&#61;0">EEO Know Your Rights</a>.

Senior Machine Learning Engineer III ***Raleigh, NC***

Senior Machine Learning Engineer III

Bachelor’s in CS/Engineering; extensive production ML/LLM deployment experience; LLM development, RAG and prompt orchestration; agentic systems; distributed/cloud-native design; API/microservice development.

Machine Learning Engineer

Experience implementing and scaling production ML/LLM systems; strong Python; LangChain, RAG, embeddings; cloud-native; distributed systems; containerization.

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