TMS LLC

Role Description We are seeking a highly experienced Senior Cloud Security & Platform Engineering Lead to lead the design, implementation, and governance of secure and scalable cloud-native platforms across enterprise environments. The ideal candidate should have strong expertise in cloud security, platform engineering, Kubernetes, Zero Trust architecture, and software supply chain security. Qualifications - 10+ years of experience in Cloud Security, Platform Engineering, DevSecOps, or Infrastructure Security - Deep expertise in AWS, Azure, and GCP - Strong hands-on experience with Kubernetes, containers, and cloud-native infrastructure - Experience implementing: - SPIFFE / SPIRE enterprise federation - In-Toto pipeline enforcement - Tekton Chains production attestation - OPA / Gatekeeper governance platforms - eBPF runtime detection engineering - Strong understanding of Zero Trust Architecture and Cryptographic Workload Identity - Experience implementing Software Supply Chain Security frameworks (SLSA, Provenance, Attestation) - Expertise in Infrastructure-as-Code and Policy-as-Code - Strong programming/scripting experience in Go, Python, Bash, Terraform, YAML - Experience leading enterprise cloud modernization initiatives Requirements - AWS / Azure / GCP - Kubernetes - SPIFFE / SPIRE - Tekton Chains - In-Toto - SLSA - eBPF - OPA / Gatekeeper - Zero Trust - Terraform - DevSecOps - Cloud Security - Platform Engineering Benefits - All your information will be kept confidential according to EEO guidelines.

Role Description We are looking for an experienced Automation Workflow Lead with 10+ years of experience in workflow automation, enterprise process automation, and API integrations. If you have hands-on expertise with n8n, Zapier, Make.com, REST APIs, Webhooks, OAuth, and cloud platforms, we want to connect with you! - Role: Automation Workflow Lead - Location: Remote - Duration: 12+ Months - Experience: 10+ Years Qualifications - n8n - Zapier - Make.com - REST APIs / Webhooks / OAuth 2.0 - JavaScript / Python / Node.js - AWS / Azure / GCP - CI/CD, SQL, Data Transformation Company Description All your information will be kept confidential according to EEO guidelines.

Role Description We are looking for an experienced Automation Architect with strong expertise in RPA, Agentic AI Systems, enterprise automation, and AI-driven workflow orchestration. The candidate will design and build scalable automation solutions using AI, RPA, and autonomous workflows. Qualifications - 10+ years of experience in RPA, intelligent automation, or AI workflow orchestration - Strong hands-on experience with: - UiPath AI Center - UiPath Automation Hub - UiPath Process Mining - UiPath Communications Mining - Automation Anywhere Bot Insight - ABBYY Vantage - Expertise in: - Agentic AI Systems - Multi-agent orchestration - Autonomous workflows - AI-powered automation - Tool-calling systems - Enterprise AI orchestration - Strong API integration and workflow automation experience - Programming skills in Python, JavaScript, Java, or C# - Experience with AWS, Azure, or Google Cloud - Knowledge of microservices and event-driven architecture Requirements - Design and lead enterprise automation and AI workflow solutions - Build scalable AI-driven and autonomous automation systems - Develop enterprise RPA and process intelligence platforms - Integrate AI agents with enterprise applications and workflows - Work with cross-functional teams on automation strategy and delivery Education - Bachelor’s or Master’s degree in Computer Science, Engineering, IT, AI, or related field preferred. Additional Information All your information will be kept confidential according to EEO guidelines.

Role Description We are actively hiring a Senior AI Architect with deep expertise in Generative AI, LLMs, NLP, AI Security, and enterprise AI architecture. - Role: Senior AI Architect - Location: Remote - Duration: 12+ Months - Experience: 15+ Years We are looking for professionals with strong experience in: - Generative AI & LLMs - GraphRAG & RLHF - Multi-Agent AI Systems - AI Security & Governance - Distributed AI Systems - Conversational AI & Autonomous AI - Semantic Search & Vector Databases - Python / Scala / Java - PyTorch, TensorFlow, Hugging Face, LangChain - Orca Security, Lakera, OWASP, YARA, MITRE ATT&CK, Weaviate Responsibilities include designing enterprise AI platforms, building secure AI ecosystems, implementing AI guardrails, and leading engineering teams. Qualifications - Strong experience in Generative AI & LLMs - Expertise in AI Security & Governance - Proficiency in Python, Scala, or Java - Experience with PyTorch, TensorFlow, Hugging Face, LangChain Requirements - 15+ years of experience in AI architecture - Experience with Multi-Agent AI Systems - Knowledge of Semantic Search & Vector Databases Benefits - Remote work flexibility - Confidentiality of information according to EEO guidelines

Role Description We are hiring a .NET Full Stack Developer to work as a forward-deployed engineer, embedding with product teams and portfolio companies to build new products and modernize established ones. You will write code across the full stack — backend services, APIs, data, and UI — and operate in an AI-first environment where the majority of code is produced through leading AI coding tools. This is a hands-on builder role. You'll ship features end-to-end, collaborate closely with senior and principal engineers, and grow into deeper architecture and product ownership over time. What You'll Do - Build, test, and deploy full-stack web applications using React, .NET Core (C#), and modern frameworks. - Design and maintain robust data layers, including relational and NoSQL databases (SQL Server, MongoDB). - Develop and optimize database objects — stored procedures, indexes, and queries — ensuring high performance and scalability. - Collaborate with product managers and design teams to translate complex domain workflows across organisation's regulated verticals into intuitive, efficient user experiences. - Implement, secure, and optimize RESTful APIs and microservices hosted on Microsoft Azure. - Build and manage CI/CD pipelines and automated deployments using Azure DevOps. - Manage Azure services such as App Service, Containers, Functions, Key Vault, Storage Accounts, Service Bus, and Application Insights. - Optimize front-end and back-end performance for scalability, reliability, and maintainability. - Write clean, well-structured, and testable code following industry best practices. - Participate in architecture planning, code reviews, and continuous improvement initiatives alongside senior and principal engineers. - Work AI-first, using Claude Code, Codex, GitHub Copilot, Cursor, or JetBrains AI as your primary day-to-day development tools. - Contribute to new product builds and modernization across organisation's six regulated industry verticals, plus special projects from Venture AI Labs — prototypes, applied experiments, and zero-to-one product bets. Qualifications - Strong .NET Core / C# full stack experience, including ASP.NET Core, Web APIs, and Entity Framework. - Solid React experience (TypeScript a plus) building modern, performant web UIs. - Strong SQL Server skills — schema design, stored procedures, indexes, and query optimization — plus working experience with NoSQL (MongoDB or similar). - Hands-on Microsoft Azure experience, including App Service, Containers, Functions, Key Vault, Storage Accounts, Service Bus, and Application Insights. - CI/CD with Azure DevOps — building pipelines, automated deployments, and release management. - Hands-on AI-first development experience with Claude Code, Codex, GitHub Copilot, Cursor, or JetBrains AI. - Python as a supporting technology is a strong plus. - Solid fundamentals in software design, testing, secure-by-default engineering, and observability. - Strong communication and ownership — comfortable in a remote, forward-deployed environment with shifting context across products and teams. Requirements - Experience working in a high-velocity R&D group, innovation lab, incubator, fast-moving startup, or skunkworks-style team inside a larger enterprise. - Experience modernizing legacy .NET systems (Framework → .NET, monolith → services, etc.). - Exposure to LLM-powered features — RAG, evals, agent frameworks, tool use. - Prior work inside regulated industries (financial services, healthcare, legal, insurance, compliance-driven SaaS, etc.) Benefits - All your information will be kept confidential according to EEO guidelines.

Role Description Role: Oracle EPM ARCS Implementation Consultant Duration: Long Term Location: Remote- EST AND CST Pay Rate: $60/hr. On C2C - Oracle EPM ARCS implementation: end-to-end configuration and deployment experience. - Reconciliation profile setup and management: ability to design, build, and optimize recon profiles aligned to business requirements. - Account grouping configuration: experience structuring and managing account hierarchies and groupings within ARCS. - Data Integrations: integration with Oracle Fusion, proven experience integrating ARCS with Oracle Fusion for seamless data flow and reconciliation. - FX Rate Integrations, FX Rate Setups, Handling Intercompany Reconciliation in ARCS, etc. - EPM Automate and scripting for automation tasks, strong understanding of the financial close process and balance sheet reconciliation. - Ability to translate business/Finance requirements into ARCS configuration. Qualifications - Strong finance acumen: deep understanding of finance processes, accounting principles, and the ability to communicate in finance language with business stakeholders. - Problem-solving mindset: ability to quickly diagnose issues, identify root causes, and drive solutions independently. - Ownership mindset: someone who takes end-to-end accountability for deliverables without needing hand-holding. - Self-directed implementer: capable of working autonomously, managing their own workstream, and delivering results with minimal supervision. Additional Information All your information will be kept confidential according to EEO guidelines.

Role Description Role: Azure DevOps Architect Rate: $80-85/hr. on C2C Location: Menlo Park, CA (Remote) Duration: 12 Months contract Visas: All Mandatory Skills: - Azure Deployment Stacks — Enterprise-scale infrastructure lifecycle governance across hundreds of Azure subscriptions, including resource management, scoping, and deny assignment enforcement. - Open Policy Agent (OPA) / Policy-as-Code — Design and enforcement of security and compliance policies embedded natively across CI/CD pipelines at enterprise scale (500+ engineering teams). - Sigstore — Production-level implementation of artifact signing, verification, and software supply chain integrity pipelines across distributed engineering environments. - Azure Chaos Studio — Resilience engineering through controlled fault injection and distributed system failure experimentation across microservices and cloud-native workloads. - Azure Confidential Computing — Architecture and deployment of secure enclave workloads for high-security, regulated enterprise environments. - SBOM Automation Pipelines — End-to-end automated Software Bill of Materials generation, dependency visibility, and vulnerability tracking integrated into CI/CD workflows. - FluxCD GitOps Platform Engineering — Enterprise-grade GitOps-driven infrastructure delivery and cluster management for large-scale AKS environments. Qualifications - 10+ years of experience in DevOps architecture and cloud platform engineering. - Demonstrated enterprise-scale delivery across Fortune-level organizations in finance, healthcare, retail, or technology. - Proven hands-on experience with all seven mandatory niche skills listed above — generalist profiles will not be considered. - Experience supporting 500+ engineering teams or equivalent large-scale platform environments. - Background in regulated industries with strong understanding of compliance, audit, and security requirements. - Azure DevOps — Enterprise CI/CD platform design and management. - Kubernetes (AKS) — Large-scale cluster platform engineering. - Infrastructure as Code — Terraform and/or Bicep at enterprise scale. - DevSecOps Architecture — Security-first pipeline design and governance. - Secure Artifact Signing Pipelines — Integration with modern supply chain security frameworks. Requirements - Architect and govern centralized CI/CD platforms supporting large engineering organizations using Azure DevOps integrated with OPA policy-as-code enforcement. - Design and implement enterprise infrastructure lifecycle management using Azure Deployment Stacks across multi-subscription Azure environments. - Build and operate GitOps delivery frameworks using FluxCD for large-scale AKS cluster management. - Lead software supply chain security initiatives including Sigstore artifact signing and automated SBOM generation pipelines. - Architect secure workload environments leveraging Azure Confidential Computing for regulated and high-security use cases. - Conduct resilience engineering experiments across distributed microservices using Azure Chaos Studio. - Define and enforce DevSecOps standards, governance frameworks, and security controls across engineering teams. - Collaborate with security, platform, and product engineering teams to align DevOps strategy with enterprise compliance and regulatory requirements. - Mentor senior engineers and establish best practices for GitOps, supply chain security, and policy-driven delivery. Company Description

Role Description Blockchain Developer with DeFi and Cryptography experience: Proven track record of shipping production-grade decentralized applications. - Multilingual Programming: Professional proficiency in Solidity and Rust, complemented by strong JavaScript/TypeScript or Python for tooling and testing. - Core Architecture: Deep understanding of blockchain internals, including consensus mechanisms (PoS, PoW), state machines, and gas optimization techniques. - DeFi Domain Expertise: Comprehensive experience with DEXs, liquidity provisioning, staking, derivatives, payments, lending, and complex tokenomics/token systems. - Cryptography Fundamentals: Solid grasp of symmetric/asymmetric encryption, elliptic curve cryptography (ECC), and secure key management. - Debugging & Testing: Expert ability to test, simulate, and fix complex bugs in distributed environments using frameworks like Hardhat, Foundry, or Anchor. We are seeking a highly skilled Blockchain Developer to join our core engineering team. In this role, you will be responsible for designing, developing, and deploying secure, high-performance decentralized finance (DeFi) protocols. You will bridge the gap between complex financial logic and low-level blockchain implementation, ensuring that our systems are not only innovative but also mathematically sound and resilient to attacks. As a specialist in DeFi and Cryptography, you will take ownership of the full development lifecycle—from whitepaper logic and architectural design to mainnet deployment and post-launch optimization. Key Responsibilities: - Smart Contract Engineering: Design and implement robust smart contracts for DeFi primitives such as automated market makers (AMMs), lending pools, and cross-chain bridges. - Protocol Security: Apply advanced cryptographic principles (e.g., digital signatures, hashing, zero-knowledge proofs) to ensure data integrity and user privacy. - System Architecture: Design scalable back-end architectures that interface seamlessly with Ethereum, Layer 2 solutions, or Rust-based chains. - DeFi Innovation: Research and implement cutting-edge DeFi mechanisms including flash loans, yield farming strategies, and algorithmic stablecoin logic. - Audit & Quality Assurance: Conduct rigorous unit testing, integration testing, and formal verification to eliminate vulnerabilities before deployment. - Collaboration: Work closely with front-end engineers to integrate Web3 providers and with UI/UX designers to create seamless decentralized experiences. Qualifications - Experience with Layer 2 scaling solutions (Optimism, Arbitrum, ZK-Rollups). - Familiarity with formal verification tools and smart contract auditing processes. - Contributions to open-source Web3 projects or active participation in the DeFi research community. - Understanding of financial modeling and quantitative analysis. Additional Information All your information will be kept confidential according to EEO guidelines.

Role Description Role: RPA Solutions Architect Location: CA (Remote) Duration: 12+ Months Role Type: Contract - Job Location: Menlo Park, CA (Remote) - Duration: 12 Months contract - Visas: All visa acceptable (no H1B transfer) Mandatory Skills: - 10+ years of experience in RPA and intelligent automation architecture. - UiPath Automation Hub — Enterprise governance framework design, automation lifecycle management, pipeline intake and prioritization at scale. - UiPath AI Center — Building and orchestrating ML-integrated automation pipelines for intelligent, adaptive workflows. - UiPath Process Mining — Large-scale process discovery, bottleneck analysis, and identification of high-impact automation opportunities. - UiPath Communications Mining — NLP-driven automation discovery and customer service workflow optimization. - Automation Anywhere Bot Insight — Analytics dashboard development, bot performance tracking, and ROI reporting. - ABBYY Vantage — Intelligent document processing for invoices, contracts, and unstructured enterprise data. Required Experience: - Proven track record delivering automation programs in large enterprise environments. - Experience supporting 100+ bots in production with governance and lifecycle management. - Background in industries such as banking, healthcare, retail, or consulting preferred. - Strong ability to balance strategic architecture with hands-on delivery. Key Responsibilities: - Architect and deliver end-to-end enterprise automation programs across finance, healthcare, and/or retail domains. - Establish and scale Automation Centers of Excellence (CoEs) with governance models, intake processes, and standards. - Design AI-enabled automation pipelines integrating UiPath AI Center for model training and orchestration. - Lead process intelligence initiatives using UiPath Process Mining to surface transformation opportunities. - Implement NLP-based discovery workflows via UiPath Communications Mining. - Deliver intelligent document processing solutions using ABBYY Vantage across high-volume business processes. - Build operational analytics and performance dashboards using Automation Anywhere Bot Insight. - Collaborate with business stakeholders to align automation strategy with enterprise priorities and measurable KPIs. - Mentor and guide automation teams, establishing best practices for scalable, secure, and governed deployments. Additional Information All your information will be kept confidential according to EEO guidelines.

Role Description We are seeking a Principal AI Architect – Generative AI & NLP to lead the design and deployment of next-generation AI platforms powering intelligent customer experiences. This role will drive innovation across LLM-based conversational AI, agent assist systems, and autonomous CX workflows, enabling scalable, secure, and human-like interactions across global enterprises. You will play a critical role in shaping the future of AI-driven contact center platforms, combining Generative AI, GraphRAG, RLHF, and multi-agent systems to deliver highly personalized, context-aware, and trustworthy customer interactions. Qualifications - 15+ years of experience in AI/ML, NLP, or distributed systems - 5+ years working with Generative AI and LLM-based systems - Proven experience building production-grade AI platforms at scale - Deep expertise in: - GraphRAG architecture (not just RAG) - RLHF and alignment systems - Multi-agent AI systems - Distributed training and inference - Strong programming skills in Python, Scala, or Java - Experience with PyTorch, TensorFlow, Transformers Requirements - Define and lead the architecture of enterprise-scale LLM-driven conversational AI platforms - Design advanced RAG and GraphRAG-based knowledge systems for customer support and agent assist - Architect low-latency, high-throughput inference systems for real-time interactions - Build and optimize LLM pipelines, including fine-tuning (LoRA, QLoRA) and prompt orchestration - Develop multi-agent AI systems for autonomous customer workflows and decision intelligence - Implement semantic search, hybrid retrieval, and contextual reasoning systems - Design multimodal AI capabilities (text, voice, chat) - Develop and deploy RLHF pipelines, guardrails, and hallucination mitigation frameworks - Establish Responsible AI practices, including fairness, explainability, and compliance - Lead AI governance frameworks for enterprise deployments - Architect distributed training and inference pipelines across GPU clusters - Optimize model performance using quantization, mixed precision (FP16/BF16), and MoE architectures - Reduce latency and cost using frameworks like vLLM, Triton, Ray - Lead and mentor teams of AI engineers, researchers, and architects - Collaborate with product, engineering, and CX teams to deliver AI-powered solutions - Partner with enterprise clients to design and deploy custom AI solutions for contact centers Benefits - Work on cutting-edge AI problems at the intersection of Generative AI and customer experience - Build autonomous AI agents that transform how businesses interact with customers - Lead innovation in GraphRAG and real-time conversational intelligence - Directly impact millions of customer interactions globally Company Description All your information will be kept confidential according to EEO guidelines.