{"schemaVersion":"jobsearcher.job.v1","id":"30c1d456a5bc30075e078417","url":"https://jobsearcher.com/jobs/30c1d456a5bc30075e078417","canonicalUrl":"https://jobsearcher.com/jobs/30c1d456a5bc30075e078417","title":"Python Developer","description":"5+ years of experience building production-grade systems with end-to-end ownership\r\nStrong expertise in Python and software engineering best practices\r\nRole Description:\r\nJoin a horizontal engineering team supporting 600+ application teams on a mission to elevate engineering maturity across the organization. This team drives standards, guidelines, platform capabilities, and large-scale technical debt remediation.\r\nIn this role, you will develop advanced agentic AI workflows to automatically analyze codebases, detect technical debt, and generate high-quality fixes—from vulnerability patches to dependency and language upgrades. This is a hands‑on, high‑impact opportunity to shape the future of automated software modernization.\r\nKey Responsibilities:\r\nDesign, develop, and maintain LLM‑powered multi‑agent workflows for code analysis, remediation proposals, and safe patch generation\r\nImplement agentic patterns such as planning/execution loops, tool orchestration, sandboxing, guardrails, and failure recovery\r\nBuild scalable automation systems for technical debt remediation, including language/runtime upgrades, dependency modernization, vulnerability patching, and configuration drift correction\r\nCollaborate with Developer Experience and Platform teams to define engineering standards and reusable best practices\r\nArchitect and optimize RAG pipelines, including chunking strategies, embeddings, hybrid search, reranking, and retrieval policies\r\nDevelop evaluation frameworks for LLMs, RAG, and multi‑agent workflows, including offline datasets, validation metrics, statistical testing, and A/B experiments\r\nContribute to backend systems using Python, distributed systems, microservices, PostgreSQL, DBT, vector databases, caching, streaming, and queueing technologies\r\nBuild CI/CD pipelines, observability dashboards, and conduct performance analysis across model, retrieval, and network layers\r\nWork cross‑functionally with product, platform, and security teams to take prototypes to production‑grade services\r\nCommunicate effectively with stakeholders, produce high‑quality technical documentation, and mentor junior engineers\r\nMust‑Have Qualifications:\r\n5+ years of experience building production‑grade systems with end‑to‑end ownership\r\nExpertise in Python, software engineering best practices, testing strategies, CI/CD, and system design\r\nHands‑on experience shipping LLM‑powered features (e.g., autonomous workflows, function calling) with measurable reliability or latency improvements\r\nStrong understanding of multi‑agent architectures including planners, executors, and tool routing\r\nDeep knowledge of RAG systems: chunking, embeddings, vector/hybrid search, retrieval policies\r\nExperience evaluating LLMs and agent workflows using statistical reasoning and validation techniques\r\nProficiency with AWS (Lambda, ECS/EKS, S3, API Gateway, EC2, IAM) and Infrastructure‑as‑Code\r\nExperience with observability tools (e.g., Datadog) covering logging, tracing, and metrics\r\nFamiliarity with PostgreSQL, DBT, data modeling, schema evolution, and performance tuning\r\nKnowledge of vector databases such as Pinecone or pgvector\r\nExperience designing or optimizing CI/CD pipelines (GitHub Actions or similar)\r\nProven track record in application modernization, dependency management, and technical debt reduction\r\nAbility to rapidly prototype, validate, and transition solutions into production\r\nPreferred Skills:\r\nExperience designing agent infrastructure with sandboxing, tool isolation, and fail‑safe execution\r\nBackground in large‑scale platform engineering or developer experience tooling\r\nUnderstanding of enterprise AI security, compliance, and privacy requirements\r\nStrong architectural communication skills, including RFC development and technical diagramming\r\nAttributes:\r\nAdaptable, proactive problem solver\r\nStrong ownership mindset with excellent collaboration and communication skills\r\nComfortable working in fast‑paced, ambiguous R&D environments\r\nPassionate about building high‑leverage platform capabilities that support hundreds of engineering teams\r\nSeniority levelMid‑Senior level\r\nEmployment typeContract\r\nJob functionInformation Technology\r\nIndustriesBanking, Telecommunications, and Information Services\r\nReferrals increase your chances of interviewing at Net2Source (N2S) by 2x#J-18808-Ljbffr","company":"Net2Source","rawCompany":"net2source n2s","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-10-04T02:34:38.713Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Developer","description":"5+ years of experience building production-grade systems with end-to-end ownership\r\nStrong expertise in Python and software engineering best practices\r\nRole Description:\r\nJoin a horizontal engineering team supporting 600+ application teams on a mission to elevate engineering maturity across the organization. This team drives standards, guidelines, platform capabilities, and large-scale technical debt remediation.\r\nIn this role, you will develop advanced agentic AI workflows to automatically analyze codebases, detect technical debt, and generate high-quality fixes—from vulnerability patches to dependency and language upgrades. This is a hands‑on, high‑impact opportunity to shape the future of automated software modernization.\r\nKey Responsibilities:\r\nDesign, develop, and maintain LLM‑powered multi‑agent workflows for code analysis, remediation proposals, and safe patch generation\r\nImplement agentic patterns such as planning/execution loops, tool orchestration, sandboxing, guardrails, and failure recovery\r\nBuild scalable automation systems for technical debt remediation, including language/runtime upgrades, dependency modernization, vulnerability patching, and configuration drift correction\r\nCollaborate with Developer Experience and Platform teams to define engineering standards and reusable best practices\r\nArchitect and optimize RAG pipelines, including chunking strategies, embeddings, hybrid search, reranking, and retrieval policies\r\nDevelop evaluation frameworks for LLMs, RAG, and multi‑agent workflows, including offline datasets, validation metrics, statistical testing, and A/B experiments\r\nContribute to backend systems using Python, distributed systems, microservices, PostgreSQL, DBT, vector databases, caching, streaming, and queueing technologies\r\nBuild CI/CD pipelines, observability dashboards, and conduct performance analysis across model, retrieval, and network layers\r\nWork cross‑functionally with product, platform, and security teams to take prototypes to production‑grade services\r\nCommunicate effectively with stakeholders, produce high‑quality technical documentation, and mentor junior engineers\r\nMust‑Have Qualifications:\r\n5+ years of experience building production‑grade systems with end‑to‑end ownership\r\nExpertise in Python, software engineering best practices, testing strategies, CI/CD, and system design\r\nHands‑on experience shipping LLM‑powered features (e.g., autonomous workflows, function calling) with measurable reliability or latency improvements\r\nStrong understanding of multi‑agent architectures including planners, executors, and tool routing\r\nDeep knowledge of RAG systems: chunking, embeddings, vector/hybrid search, retrieval policies\r\nExperience evaluating LLMs and agent workflows using statistical reasoning and validation techniques\r\nProficiency with AWS (Lambda, ECS/EKS, S3, API Gateway, EC2, IAM) and Infrastructure‑as‑Code\r\nExperience with observability tools (e.g., Datadog) covering logging, tracing, and metrics\r\nFamiliarity with PostgreSQL, DBT, data modeling, schema evolution, and performance tuning\r\nKnowledge of vector databases such as Pinecone or pgvector\r\nExperience designing or optimizing CI/CD pipelines (GitHub Actions or similar)\r\nProven track record in application modernization, dependency management, and technical debt reduction\r\nAbility to rapidly prototype, validate, and transition solutions into production\r\nPreferred Skills:\r\nExperience designing agent infrastructure with sandboxing, tool isolation, and fail‑safe execution\r\nBackground in large‑scale platform engineering or developer experience tooling\r\nUnderstanding of enterprise AI security, compliance, and privacy requirements\r\nStrong architectural communication skills, including RFC development and technical diagramming\r\nAttributes:\r\nAdaptable, proactive problem solver\r\nStrong ownership mindset with excellent collaboration and communication skills\r\nComfortable working in fast‑paced, ambiguous R&D environments\r\nPassionate about building high‑leverage platform capabilities that support hundreds of engineering teams\r\nSeniority levelMid‑Senior level\r\nEmployment typeContract\r\nJob functionInformation Technology\r\nIndustriesBanking, Telecommunications, and Information Services\r\nReferrals increase your chances of interviewing at Net2Source (N2S) by 2x#J-18808-Ljbffr","datePosted":"2026-10-04T02:34:38.713Z","dateModified":"2026-10-04T02:34:38.713Z","hiringOrganization":{"@type":"Organization","name":"Net2Source","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"30c1d456a5bc30075e078417"},"url":"https://jobsearcher.com/jobs/30c1d456a5bc30075e078417"}}