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Job Description Overview We are seeking a Senior GenAI / Agentic AI Engineer to design, build, and deploy enterprise-scale AI applications that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and cloud-native technologies. This is a hands-on engineering role focused on building production-ready AI platforms from architecture through deployment. The ideal candidate has extensive experience developing scalable AI solutions, integrating LLMs into enterprise applications, and delivering secure, reliable systems that operate in production environments. Responsibilities • Design and develop enterprise Generative AI applications using LLMs, RAG, Graph RAG, and multi-agent architectures., • Build scalable document ingestion, embedding, retrieval, and vector search pipelines., • Develop AI agents using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen, or similar technologies., • Create secure backend services and APIs using Python, FastAPI, Flask, or comparable frameworks., • Build intuitive AI-powered web applications using modern front-end technologies such as React, Angular, or Next.js., • Deploy cloud-native AI solutions across AWS, Azure, and GCP using Docker, Kubernetes, and Infrastructure-as-Code., • Implement observability, monitoring, LLMOps, and governance to ensure production reliability and responsible AI practices., • Collaborate with product, engineering, architecture, and business stakeholders to deliver enterprise AI solutions.Required Qualifications, • 8+ years of software engineering, cloud engineering, AI/ML, or platform engineering experience., • 3+ years of hands-on experience building production Generative AI or LLM-based applications., • Strong expertise with Python and API development using FastAPI, Flask, or similar frameworks., • Experience building Retrieval-Augmented Generation (RAG) solutions and working with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search., • Experience with Agentic AI frameworks including LangChain, LangGraph, CrewAI, LlamaIndex, Semantic Kernel, or AutoGen., • Strong understanding of prompt engineering, tool calling, agent orchestration, and workflow automation., • Experience developing cloud-native applications on AWS, Azure, or GCP., • Hands-on experience with Docker, Kubernetes, Terraform, CI/CD pipelines, and modern DevOps practices., • Experience integrating enterprise AI applications with databases, APIs, and business systems., • Strong understanding of security, governance, and responsible AI best practices.Preferred Qualifications, • Experience implementing Graph RAG and knowledge graph solutions., • Experience with MCP (Model Context Protocol) architecture., • Experience deploying models using vLLM, Hugging Face, Triton, or TensorRT-LLM., • Experience with Databricks, Spark, Kafka, Snowflake, or modern data engineering platforms., • Experience building AI applications within regulated industries such as Financial Services, Healthcare, or Insurance., • Azure, AWS, Google Cloud, or Databricks AI certifications.Technical Environment, • Languages: Python, JavaScript/TypeScript, SQL, • Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex, FastAPI, Flask, React, Angular, Next.js, • Cloud: AWS, Azure, GCP, • Vector Databases: Pinecone, Weaviate, Chroma, Milvus, Azure AI Search, • DevOps: Docker, Kubernetes, Terraform, GitHub Actions, Jenkins, • AI Platforms: OpenAI, Claude, Gemini, Llama, AWS Bedrock, Azure OpenAI

We’re hiring a senior engineer to build features end-to-end across our Rails/PostgreSQL backend, our React and. Ruby on Rails + PostgreSQL (with pgvector). Why a Rails query is slow and how to actually fix it.

As a Senior Software Engineer, you will be part of the talented team building the core Collectly product, powered by a Python backend and React front end.

Keeper Security is transforming cybersecurity for organizations globally with zero-trust privileged access management built with end-to-end encryption. Keeper Security is hiring a highly experienced Senior Software Engineer to join our Admin Console team, focusing on building and scaling our enterpr

Position: Senior Full Stack Python EngineerLocation: Fort Worth, TexasDuration: ContractJob ID: 179437Job Overview: We are seeking a highly skilled and experienced Sr. Engineer - Automation to join our team in Fort Worth, Texas. The ideal candidate will have a strong background in software development, automation, and system design. This role requires a hybrid work schedule (Tuesday through Thursday on-site) and involves working on cutting-edge technologies to enhance the quality, reliability, and security of our systems. The candidate will also mentor team members and lead the implementation of significant capabilities within the domain.Responsibilities:Write tests and document technical work products, including code scripts and processes, adhering to organizational standards and practices.Focus on improving the quality and craftsmanship of products and systems.Conduct root cause analysis to identify domain-level problems and prescribe actionable solutions.Design self-contained systems within the team's domain and lead the implementation of significant capabilities in existing systems.Coach team members on techniques to improve reliability, resiliency, security, and performance.Decompose complex designs into manageable implementations for less experienced engineers.Anticipate potential issues in systems under development and guide the team in implementing instrumentation practices for observability and supportability.Define test suites and instrumentation to ensure production targets for latency and availability are consistently met.Lead by example by prioritizing the resolution of open vulnerabilities.Evaluate potential attack surfaces in systems under development and guide teams in implementing best practices to mitigate risks.Identify and prioritize small batches of work to deliver the highest value quickly.Advocate for reuse as a first-class consideration in all team implementations to ensure broad reusability.Formally mentor teammates and guide them through necessary learning journeys.Identify opportunities for introducing new approaches to problem-solving within the environment.Qualifications:5-7 years of full Software Development Life Cycle (SDLC) experience, including designing, developing, and implementing large-scale applications (front-end and back-end).5 years of experience with Python and proficiency with FastAPI.5 years of experience with Restful web services.Experience with HashiCorp Vault, AWS Secrets Management, or Azure Key Vault.Nice to Have:5 years of experience with React, TypeScript, and JavaScript.Proficiency in object-oriented design techniques and principles.3 years of experience with Terraform and Vault.3 years of professional design and open-source experience.3 years of experience with git and GitHub.3 years of experience working in Windows and Linux operating systems, including shell scripting.Proficiency with database and persistence frameworks such as PostgreSQL, Object/Relational Mapping, and query performance tuning.Experience with cloud platforms such as Azure.About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.comAt PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:Pay any fee to be considered for, submitted to, or selected for any opportunity.Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.Pay Range: $60-$65/hrThe specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.comDuring the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.#LI-Hybrid #LI-YP1Type: ContractCategory: IT | Software Design/DeveloperDate Posted: 2026-09-02

Position Summary Technical Resilience FDE Senior Manager As a Senior Manager, AI Engineering (Forward Deployed Engineer) in Deloitte Cyber, you will be embedded in a client's environment to design, build, and ship production-grade AI capabilities using the client's own data, systems, and workflows, while also leading the broader team and technical roadmap delivering that work. This role is administratively aligned to the Cyber Resilience practice, and the applied use cases you and your team build will typically span disaster recovery orchestration, control and evidence collection, continuity and recovery planning, and third-party resilience monitoring — but these are application areas your engineering and leadership work supports, not prerequisites requiring deep resilience or audit domain credentials. You will combine strong personal engineering depth with the ability to lead and develop other engineers, own the technical roadmap across multiple workstreams, shape technical solutions during pursuits, and build reusable accelerators that raise the bar across engagements. Recruiting for this role ends on 12/31/2026.Work you'll doAs a Senior Manager on a client-embedded AI engineering team, you will be responsible for:• Designing and hands-on building AI-enabled solutions (agents, retrieval/RAG pipelines, automation workflows) directly inside a client's environment, using their live data and systems• Setting and owning standards for AI production practices — evaluation, guardrails, observability, reliability, security, and cost/performance management — across multiple solutions or engagements• Leading, mentoring, and managing the performance and career development of one or more Engineering Managers and their teams across one or more client engagements• Architecting the AI capability roadmap across multiple workstreams or operational domains for a client or portfolio of clients — applied, for example, to disaster recovery orchestration, control and evidence automation, and third-party resilience monitoring• Engaging client stakeholders (e.g., CISO, resilience and GRC leadership) to prioritize automation of controls, monitoring, and evidence workflows that support their audit and compliance needs• Translating client business needs — including resilience use cases such as continuity planning and recovery orchestration — into working, production-grade AI technical solutions• Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope• Owning technical solutioning during pursuits, including demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs across multiple opportunities• Owning client enablement across engagements — workshops, demonstrations, adoption planning, operational handoff, and training curricula — so client teams can independently operate and extend delivered AI capabilities• Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements• Creating new reusable accelerators and scaling their adoption across teams and engagements, backed by documentation and knowledge transfer• Owning the technical roadmap across engagements and contributing to broader practice capability development, including hiring, training curricula, and reusable IPA successful candidate would possess these skills:• Ability to work independently and collaborate as part of a team• Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment• Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines• Proven ability to mentor, develop, and manage the performance of other engineers and engineering managersThe teamDeloitte's Cyber Resilience practice helps organizations anticipate, withstand, and recover from disruption — spanning disaster recovery orchestration, business continuity and recovery planning, and third-party resilience, as well as the underlying architecture, inventory, monitoring, and control and evidence collection programs that demonstrate cybersecurity and continuity posture to regulators and stakeholders. The team is building AI-driven capabilities — including automated controls, continuous monitoring, response workflows, and audit-ready evidence generation — designed to help clients strengthen resilience posture, simplify complexity, and respond with greater speed and confidence when disruption occurs.The FDE is embedded directly in a client's environment to build and ship AI capabilities using the client's own data, systems, and workflows, with resilience and recovery use cases (e.g., disaster recovery orchestration, control and evidence collection, response workflows, third-party resilience monitoring) as the applied domain for that AI engineering work. QualificationsRequired:• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field; alternatively, equivalent demonstrated experience• 12-15+ years of hands-on software engineering experience building and deploying production-grade systems using one or more of the following — Python, Java, or Node.js• 7+ years of experience translating client or business requirements into target-state solution architectures using REST APIs, microservices, event-driven architectures, or serverless components• 3+ years of experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools• 3+ years of hands-on experience designing, building, and deploying generative AI or large language model solutions (e.g., agents, RAG, tool-calling) in a client or production environment — beyond proof-of-concept• Experience owning and setting standards for production AI engineering practices — evaluation, guardrails, observability, reliability, security, and cost/performance management — across multiple solutions or engagements• 3+ years of experience leading and developing engineering teams, including direct management of Engineering Managers or equivalent technical leads, with accountability for performance management and career development• Experience architecting AI-enabled solutions across multiple workstreams or operational domains, translating varied client requirements into a coherent technical roadmap• Experience contributing to practice or team capability beyond individual engagements — for example, mentoring engineering managers, shaping hiring or training practices, or developing reusable accelerators and IP• Experience owning client enablement at scale — workshops, demonstrations, adoption planning, and operational handoff — across multiple engagements or a portfolio of clients• Experience creating new reusable AI accelerators, tools, or frameworks and driving their adoption and scaling across teams and engagements• Ability to work directly and independently within a client's environment and codebase, including navigating unfamiliar systems and undocumented workflows• Ability to build and oversee automation that integrates with monitoring, ITSM, or GRC platforms to support control monitoring, evidence collection, and response workflows across multiple engagements• Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve• Limited immigration sponsorship may be availablePreferred:• Front-end / full-stack breadth — JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor, etc.)• Experience with agent orchestration or LLM application frameworks (e.g., LangChain, LlamaIndex, Model Context Protocol, Bedrock Agents, Azure AI Foundry, Vertex AI)• Experience with GRC, ITSM, or monitoring/observability platforms (e.g., ServiceNow, Archer, Splunk, Datadog) at an architecture or platform-ownership level• Familiarity with resilience-related frameworks or standards (e.g., NIST CSF, ISO 22301, SOC 2) useful for translating client requirements into engineering priorities — not an audit or compliance credential• Experience designing AI-enabled use cases within resilience or continuity workflows (e.g., disaster recovery orchestration, control and evidence automation, third-party resilience monitoring) across multiple clients or engagements is a plus, though not a prerequisite• Track record presenting technical roadmaps or audit-readiness outcomes to CISO, GRC, or other executive stakeholders• Prior experience in a forward-deployed, embedded, or client-site engineering model (vs. offshore/remote delivery only)• Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR)• Kubernetes, GitOps, and advanced cloud-native delivery patterns• Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation• Relevant certifications — cloud (AWS/Azure/GCP) or AI/ML-specific certifications The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $189,200 - $372,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. #CyberCDR27 Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte & Touche LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 361214 Job ID 361214 Engineering and Product | Engineering and Product GeneralistSame job available in 26 locations

Job Description We are unable to sponsor or take over sponsorship of an employment visa at this time. Job Title: Senior Gen AI / Agentic AI Engineer Role Overview We are seeking a highly skilled Senior Gen AI / Agentic AI Engineer to design, build, and deploy enterprise-grade Generative AI and Agentic AI platforms. The role requires strong hands-on experience across LLMs, RAG, Graph RAG, multi-agent orchestration, vector databases, MCP setup, full-stack application development, cloud-native deployments, observability, and data engineering pipelines. The ideal candidate should be capable of building scalable AI platforms from end to end, including data ingestion, embedding pipelines, retrieval systems, agent workflows, model serving, API layers, UI/UX integration, monitoring, security, and production deployment across multi-cloud environments. Key Responsibilities • Design and develop enterprise Gen AI and Agentic AI applications using LLMs, RAG, Graph RAG, multi-agent workflows, and tool-augmented reasoning., • Build scalable RAG pipelines including document ingestion, chunking, embedding generation, metadata enrichment, hybrid search, reranking, retrieval optimization, and response grounding., • Implement Graph RAG solutions by integrating knowledge graphs, entity extraction, relationship mapping, graph traversal, and contextual retrieval., • Develop multi-agent systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, and custom orchestration patterns., • Set up and integrate MCP servers and clients to enable tool connectivity, enterprise system integration, agent-to-tool communication, and reusable AI workflows., • Build and manage vector database solutions using Pinecone, Weaviate, Milvus, FAISS, Chroma, OpenSearch Vector Engine, Azure AI Search, Vertex AI Vector Search, or pgvector., • Deploy and optimize LLM / VLLM inference stacks using vLLM, Hugging Face Transformers, TensorRT-LLM, TGI, Ollama, llama.cpp, Ray Serve, or Triton Inference Server., • Integrate commercial and open-source LLMs such as GPT, Claude, Gemini, Llama, Mistral, Mixtral, Falcon, Cohere, DeepSeek, and domain-specific fine-tuned models., • Develop secure and scalable backend services using Python, FastAPI, Flask, Node.js, Java/Spring Boot, or similar API frameworks., • Build full-stack applications with frontend technologies such as React, Angular, Next.js, TypeScript, JavaScript, HTML, CSS, and integrate AI workflows into user-facing interfaces., • Create intuitive UI/UX experiences for AI chatbots, agent workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems., • Implement data engineering pipelines using Spark, PySpark, Databricks, Airflow, Kafka, Snowflake, BigQuery, Redshift, SQL, NoSQL, and cloud-native data services., • Build ingestion pipelines for structured, semi-structured, and unstructured data including PDFs, Word documents, emails, images, logs, databases, APIs, and enterprise repositories., • Deploy AI workloads on AWS, Azure, and GCP, using services such as Bedrock, SageMaker, Azure OpenAI, Azure AI Search, Azure ML, Vertex AI, BigQuery, GKE, AKS, EKS, Lambda, and Cloud Functions., • Implement cloud-native architecture using Docker, Kubernetes, Helm, Terraform, CI/CD, GitHub Actions, GitLab, Jenkins, and infrastructure-as-code practices., • Establish strong monitoring and observability for Gen AI applications, including prompt/response tracing, token usage, latency, hallucination tracking, retrieval quality, cost monitoring, model drift, and agent execution traces., • Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK, and cloud-native logging platforms., • Implement LLMOps / MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture, safety checks, and automated deployment., • Apply security and governance controls including PII detection, data masking, access control, RBAC, IAM, encryption, audit logging, policy enforcement, prompt injection prevention, and responsible AI guardrails., • Collaborate with product owners, architects, data scientists, engineers, UX teams, security teams, and business stakeholders to deliver production-grade AI solutions., • Optimize Gen AI applications for accuracy, latency, scalability, reliability, cost, and user experience. Must Have Skills • Strong hands-on experience in Generative AI, LLMs, Agentic AI, RAG, Graph RAG, and prompt engineering., • Experience building multi-agent AI systems using LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks., • Strong understanding of LLM orchestration, tool calling, function calling, agent memory, planning, reasoning, task decomposition, and workflow automation., • Hands-on experience with RAG architecture, including chunking strategies, embeddings, vector search, hybrid search, reranking, metadata filtering, and evaluation., • Experience with vector databases such as Pinecone, Weaviate, Milvus, FAISS, Chroma, Azure AI Search, OpenSearch, Vertex AI Vector Search, or pgvector., • Knowledge of Graph RAG / knowledge graph solutions using Neo4j, Neptune, TigerGraph, RDF, SPARQL, Cypher, or graph-based retrieval patterns., • Strong backend development experience with Python, FastAPI, Flask, Node.js, Java, REST APIs, GraphQL, microservices, and event-driven systems., • Full-stack development experience with React, Angular, Next.js, TypeScript, JavaScript, HTML, CSS, and API integration., • Experience with model serving and inference optimization using vLLM, Hugging Face, TGI, Triton, TensorRT-LLM, Ray Serve, or similar platforms., • Strong cloud experience across AWS, Azure, and/or GCP., • Hands-on experience with Docker, Kubernetes, Helm, Terraform, CI/CD pipelines, and cloud-native deployments., • Strong data engineering skills using SQL, Python, Spark/PySpark, Databricks, Airflow, Kafka, and cloud data platforms., • Experience implementing observability, monitoring, logging, tracing, and evaluation for AI/ML/LLM applications., • Strong understanding of LLMOps/MLOps, model lifecycle management, prompt lifecycle, evaluation metrics, and production support., • Experience with security, governance, responsible AI, guardrails, prompt injection protection, and enterprise compliance controls. Nice to Have Skills • Hands-on experience setting up MCP server/client architecture for enterprise agentic AI platforms., • Experience with A2A / agent-to-agent communication, multi-agent collaboration, and tool registry patterns., • Experience with fine-tuning, LoRA, QLoRA, PEFT, RLHF, RLAIF, or domain-specific model adaptation., • Experience with document intelligence platforms, OCR, extraction pipelines, and intelligent search., • Experience with Databricks Mosaic AI, Azure AI Foundry, AWS Bedrock Agents, Google Vertex AI Agent Builder, or similar enterprise AI platforms., • Experience with semantic caching, token optimization, prompt compression, and cost optimization., • Familiarity with Neo4j, AWS Neptune, OpenSearch, Elasticsearch, Redis, MongoDB, PostgreSQL, Snowflake, BigQuery., • Experience in regulated industries such as banking, financial services, healthcare, or insurance. Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Job DescriptionJob Title: Lead Software Engineer Location-Type: Hybrid 3 days onsite Start Date Is: June 22 Duration: 6 month contract to hire Compensation Range: $65-73/HR W2 Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship . Job Description:We are seeking a Lead Software Engineer to drive development initiatives across a customer-facing financial wellness platform while serving as a hands-on technical leader across enterprise engineering initiatives. Day-to-Day Responsibilities: • Lead development initiatives across a customer-facing platform, • Build and support scalable applications using React, TypeScript, JavaScript, Node.js, and AWS, • Own technical delivery from requirements gathering through deployment and production support, • Serve as the technical lead across multiple engineering initiatives and stakeholders, • Collaborate closely with Product, UX, Engineering Managers, and cross-functional teams, • Drive architecture and design discussions involving APIs, microservices, distributed systems, and event-driven workflows, • Break down complex technical and delivery challenges into actionable solutions, • Mentor engineers and guide collaborative technical problem-solving efforts, • Participate in code reviews, CI/CD improvements, and engineering best practices discussions, • Support production operations, observability, troubleshooting, and continuous improvement efforts, • Improve engineering quality, delivery execution, and overall team effectiveness, • Balance approximately 80% hands-on engineering work with 20% leadership responsibilities Minimum Requirements:, • 10 years of professional software engineering experience, • Strong hands-on frontend engineering experience with React, TypeScript, and JavaScript, • Strong backend engineering experience with Node.js, • Experience building APIs, microservices, distributed systems, and event-driven architectures/CDC workflows, • Experience working within AWS cloud environments, • Experience owning technical delivery from requirements through production support, • Strong enterprise product engineering mindset, • Experience collaborating across multiple teams and stakeholders in enterprise environments, • Proven technical leadership and problem-solving capabilities, • Experience mentoring engineers and driving scalable technical solutions, • Strong communication and stakeholder management skills, • Experience supporting production systems and operational best practices, • Bachelor's Degree required, • Ability to navigate ambiguity and lead delivery across cross-functional teams, • USC or Green Card work authorization required Preferred Qualifications:, • Angular experience, • Ruby on Rails exposure, • PostgreSQL experience, • Docker experience, • CI/CD pipeline experience, preferably with CircleCI, • Experience with observability and monitoring tools such as DataDog and Sentry, • Financial services or fintech industry experience, • Experience within enterprise SaaS or customer-facing product organizations

Job Description Position Summary This senior technical role designs, develops, modernizes, and scales enterprise software platforms. The Senior Software Engineer leads full-stack development, application modernization, CI/CD and enterprise integrations, and responsible AI-assisted engineering. Working with business stakeholders and IT leadership, the role delivers secure, high-performing, maintainable solutions and provides technical leadership across architecture, modern .NET development, APIs, cloud integration, database optimization, DevOps, security, and software delivery. Reports To: Vice President of Information Technology Location: (In-Person/Onsite) 4350 Fossil Creek Blvd., Fort Worth, TX 76137 Business Hours: In-Person, Monday-Friday, 8:00 AM-5:00 PM Benefits • Medical, Dental, Vision and Life Insurance Coverage, • Ancillary Benefits: Life, Disability, Cancer, Accident and Intensive Care Insurance, • Health Reimbursement Account (HRA), • 401(k) with Corporate Contribution, • Time Off Programs, • 24/7 On-Site Fitness Facility Key Responsibilities Technical Leadership, Architecture & Modernization • Lead the transformation, modernization, and ongoing support of business-critical applications using C#, .NET/ASP.NET Core, SQL Server, and related technologies, designing secure, scalable, resilient architectures that align with business objectives., • Assess legacy applications and develop pragmatic modernization roadmaps, balancing business value, technical debt, security, maintainability, cost, and risk through targeted refactoring, modularization, framework upgrades, and phased modernization strategies., • Provide technical leadership through architecture reviews, code reviews, documentation, mentorship, and the adoption of clean architecture, domain-driven design (DDD), service-oriented, and microservices patterns where appropriate., • Lead application and data migration initiatives with a focus on data integrity and minimal downtime, while evaluating and recommending technologies such as Docker, Kubernetes, cloud-native services, caching, messaging, virtualization, and distributed architectures based on business and operational requirements. Full-Stack & Data Development • Design and maintain enterprise backend solutions and RESTful APIs using C#, .NET, and ASP.NET Core; support gRPC, event-driven architectures, queues, background jobs, and messaging where appropriate., • Support and troubleshoot applications hosted on Microsoft IIS, including application pools, sites, bindings, authentication, configuration, deployment, logging, and common hosting/performance issues., • Optimize SQL Server schema, indexing, queries, and performance; evaluate PostgreSQL when justified and use caching/session/job-processing technologies such as Redis where appropriate., • Support and enhance Angular/TypeScript frontends and responsive, accessible UX; evaluate future modernization with React, Node.js, or other modern web technologies., • Ensure application reliability, performance, maintainability, and seamless integration among user interfaces, APIs, backend services, databases, and enterprise systems. AI-Assisted Software Engineering • Incorporate AI-assisted development into the SDLC to improve code generation/refactoring, debugging, testing, documentation, troubleshooting, modernization, analysis, and developer productivity while maintaining human accountability., • Use tools such as GitHub Copilot, Claude Code, OpenAI Codex, or comparable assistants; translate business/technical requirements into clear contextual instructions and prompts., • Critically review, validate, test, and modify AI-generated code; mitigate risks including insecure code, hallucinated APIs, incorrect assumptions, vulnerable dependencies, incomplete error handling, and architectural inconsistency., • Ensure AI-assisted code follows coding standards, architecture, security, design patterns, testing, and source-control practices; evaluate new AI capabilities for responsible engineering use. Cloud Engineering, DevOps & Software Quality • Design, implement, and support Azure DevOps CI/CD pipelines and cloud-native solutions in Azure, with AWS integrations as needed, leveraging automation, containerization (Docker), Kubernetes, and observability practices to deliver scalable, reliable, and efficient application deployments., • Drive application quality, security, and lifecycle management through peer reviews, automated testing, static code analysis, dependency management, secure coding practices, vulnerability remediation, application hardening, and proactive management of framework, runtime, and third-party component upgrades, deprecations, and end-of-life remediation. Secure Application Development & Agile Delivery • Partner with stakeholders to translate business requirements into secure, scalable technical solutions, provide implementation recommendations, communicate project status to leadership, and support Agile/Scrum delivery activities., • Apply OWASP secure development practices and CodeQL or similar tools to identify and remediate application vulnerabilities, conduct security reviews, and integrate automated security validation into CI/CD pipelines and development workflows. Qualifications & Skills Required Qualifications • 7+ years of full-stack software engineering experience in enterprise environments; 5+ years with C#, .NET, and ASP.NET Core, including current/recent supported .NET versions., • Strong SQL Server development, optimization, and performance-tuning expertise; experience designing RESTful APIs and modern backend/service architectures., • Hands-on Angular, TypeScript, and modern frontend development; Git-based source control and collaborative workflows., • Strong Microsoft Azure, Azure DevOps, and CI/CD automation experience; Agile/Scrum experience., • Demonstrated AI-assisted software development experience with responsible validation of AI-generated production code; strong understanding of secure software development and common application vulnerabilities. Preferred Qualifications • Legacy/aging .NET modernization and migration to supported frameworks and modern architectures; React, Node.js, or other modern web technologies., • PostgreSQL/Amazon Aurora; Redis or comparable caching/session/queue/background processing; gRPC, messaging, queues, and event-driven architectures., • Azure/AWS integration; infrastructure automation/DevOps; Docker, Kubernetes, and reliable cloud architectures; CodeQL or similar static security analysis; Python for analytics, reporting, automation, or supporting workloads. Core Competencies • Strong analytical and complex problem-solving skills, • Excellent communication and stakeholder management, • Ability to independently lead technical initiatives and modernization, • Strong commitment to software quality, security and performance, • Collaborative across technical and business teams, • Pragmatic technology judgment focused on measurable value, • Curiosity and aptitude for responsibly applying emerging technologies, including AI Impact of the Role • Lead platform transformation, modernization, and digital innovation, • Influence architecture and engineering decisions for mission-critical systems, • Deliver secure, reliable, maintainable solutions, • Serve as a technical bridge among business stakeholders, IT leadership, and engineering, • Advance business-critical platforms, development practices, and AI-assisted engineering capabilities\nCompany Description Nation’s Best Sports (NBS) is one of North America’s leading outdoor sporting goods buying groups, dedicated to supporting independent retailers since 1956. At NBS, we believe in building relationships that feel like family, bringing together our team members, independent retail partners, and vendor partners to create a strong and collaborative network across the sporting goods industry. Today, NBS supports more than 450 independent retailers and partners with over 1,200 manufacturers worldwide. Through our exclusive Buying Markets, held multiple times each year, we provide unique opportunities for Members and Vendor Partners to connect, build relationships, and place future orders in a dynamic trade show-style environment. Our success is driven by a commitment to exceptional service, innovation, and a shared passion for the outdoor industry. We are proud to foster a collaborative, customer-focused culture where employees can make a meaningful impact while helping independent retailers grow and succeed in a competitive marketplace. Nation’s Best Sports (NBS) is one of North America’s leading outdoor sporting goods buying groups, dedicated to supporting independent retailers since 1956. At NBS, we believe in building relationships that feel like family, bringing together our team members, independent retail partners, and vendor partners to create a strong and collaborative network across the sporting goods industry.\r\n\r\nToday, NBS supports more than 450 independent retailers and partners with over 1,200 manufacturers worldwide. Through our exclusive Buying Markets, held multiple times each year, we provide unique opportunities for Members and Vendor Partners to connect, build relationships, and place future orders in a dynamic trade show-style environment.\r\n\r\nOur success is driven by a commitment to exceptional service, innovation, and a shared passion for the outdoor industry. We are proud to foster a collaborative, customer-focused culture where employees can make a meaningful impact while helping independent retailers grow and succeed in a competitive marketplace.

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