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Job Description Job Description: Agentic AI Engineer Experience: (8-10) + Years Location: Fort Mill, SC Annual Salary: $120K Per Annum Job Summary We are seeking an experienced Agentic AI Engineer with 10+ years of experience in software engineering, AI/ML, and enterprise application development to design, develop, and deploy intelligent AI agents for wealth management applications. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, and enterprise AI integration. This role requires hands-on experience building production-grade AI solutions that can reason, plan, use tools, retrieve information, and execute business workflows with appropriate human oversight. Experience in wealth management, financial services, investment management, portfolio analytics, or financial advisory platforms is highly preferred. Key Responsibilities Design, develop, and deploy production-ready Agentic AI solutions for wealth management and financial services applications. Build autonomous and semi-autonomous AI agents capable of planning tasks, reasoning, invoking tools, and executing multi-step workflows. Develop multi-agent systems using frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent technologies. Design and implement LLM-powered applications using models from OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or similar platforms. Develop and optimize RAG pipelines, including document ingestion, chunking, embeddings, semantic search, reranking, and context retrieval. Integrate AI agents with enterprise systems, REST APIs, databases, knowledge repositories, and financial data platforms. Implement tool/function calling, structured outputs, workflow orchestration, memory management, and stateful agent execution. Build solutions for wealth management use cases, including portfolio research, advisor assistance, investment document analysis, client servicing, financial insights, and knowledge retrieval. Implement responsible AI practices, including guardrails, prompt-injection protection, access controls, PII protection, auditability, and human-in-the-loop approvals. Evaluate AI solutions for accuracy, groundedness, latency, reliability, cost, and business effectiveness. Deploy, monitor, and maintain AI applications using CI/CD, containerization, cloud services, logging, and observability tools. Collaborate with product managers, architects, data engineers, business analysts, and compliance teams to translate business requirements into scalable AI solutions. Mentor engineers, establish engineering best practices, and provide technical leadership across AI initiatives. Required Technical Skills 1. Programming and Software Engineering Strong hands-on experience with Python and object-oriented programming. Expertise in REST APIs, microservices, asynchronous processing, and enterprise application integration. Proficiency with Git, automated testing, debugging, and software engineering best practices. 2. Agentic AI and LLMs Hands-on experience designing and implementing AI agents and multi-agent workflows. Strong understanding of LLM architecture, prompt engineering, context management, and model selection. Experience with agent orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or AutoGen. Experience implementing tool calling, function calling, planning, state management, retries, and error handling. Understanding of agent autonomy, workflow determinism, and human-in-the-loop controls. 3. RAG and Knowledge Retrieval Experience building enterprise-grade RAG applications and document intelligence solutions. Knowledge of embedding models, vector search, hybrid search, reranking, and retrieval optimization. Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or FAISS. Familiarity with Elasticsearch/OpenSearch and traditional relational or NoSQL databases. 4. Cloud and AI Deployment Experience deploying AI applications on AWS, Azure, or GCP. Familiarity with services such as AWS Bedrock, Azure OpenAI, or equivalent managed AI platforms. Experience with Docker, Kubernetes, CI/CD pipelines, and production monitoring. Understanding of scalability, performance optimization, model serving, and LLM cost management. 5. AI Quality, Security, and Governance Experience implementing LLM evaluation, hallucination mitigation, grounded responses, and AI guardrails. Knowledge of responsible AI, data privacy, secure API integration, and enterprise access controls. Understanding of observability, tracing, prompt/version management, and production incident troubleshooting. Wealth Management Domain Experience Experience working in wealth management, financial services, investment management, banking, or fintech. Understanding of portfolio management, asset allocation, investment research, financial advisors, and client servicing workflows. Familiarity with financial statements, investment reports, market data, and financial research documents. Ability to develop AI solutions that support advisors and operations teams while maintaining data confidentiality, traceability, and compliance requirements. Experience with regulated financial environments and human approval workflows for sensitive or consequential actions is a strong plus. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. 10+ years of overall software engineering experience, with substantial hands-on experience in AI/ML, LLM applications, or Generative AI. Demonstrated experience delivering AI solutions from proof of concept through production deployment. Strong analytical, problem-solving, communication, and stakeholder-management skills. Experience leading technical design discussions and mentoring engineering teams. Important: Candidates should demonstrate hands-on implementation of production-grade Agentic AI solutions, not just chatbot development, prompt engineering, or proof-of-concept projects.

Job Description Looking for a career where hard work is valued, and your ideas and feedback are part of the way we operate daily? Want to bring your skills to a company that encourages teamwork and champions continued education and process improvement? Atlas Tech, a veteran-owned IT company serving multiple DoD customers in support of America's warfighters, is looking for a Senior Cloud Engineer in North Charleston, SC. This is an onsite position requiring a relocation if you are outside of the Charleston market. The ideal candidate for this position will have proven experience in a technology-driven program or project supporting the US Navy. If you have systems engineering skills, a strong work ethic and commitment to quality, we would like to talk to you about joining our growing team. You Will: Design, deploy, secure, and sustain Microsoft Azure architectures, with preference for Azure Government over commercial cloud and Azure over AWS. Apply experience in DoD Impact Level environments; IL5 experience is strongly desired, and IL6 experience is ideal. Design hybrid-cloud solutions that run complementary services on premises and in Azure, including integration and management through Azure Arc. Engineer external connectivity and direct-connect solutions, including Azure ExpressRoute, VPN Gateway, routing, and connectivity to on-premises networks. Design and manage internal networking, including virtual networks, subnets, network security groups, VLANs, routing, and network segmentation. Implement cloud security using Microsoft Defender, Azure Firewall, VPN Gateway, secure baselines, least-privilege access, and Zero Trust principles. Design and administer Azure identity, role-based access control, privileged access, and service identities, including integration with program-provided NIS tools. Architect and support Azure Virtual Desktop, Windows and Linux virtual machines, and containerized workloads. Evaluate technical, cybersecurity, mission, and cost constraints and develop resilient Azure solution architectures and implementation plans. Develop repeatable infrastructure provisioning and configuration using Azure Automation integrated with Terraform; PowerShell, Bash, Python, and CI/CD experience is valuable. Troubleshoot complex cloud, network, identity, security, compute, and hybrid-integration issues across lab and production environments. Produce architecture diagrams, implementation plans, test artifacts, operating procedures, and RMF/ATO compliance evidence; participate in technical reviews and change management. You Have: US Citizenship Possession of a Department of Defense (DoD) Secret Level Security Clearance with a current SSBI/T5 investigation, TS/SCI desired DoD Certifications to be qualified as an Information Assurance Technician (IAT) Level II (e.g. CompTIA Security+ certification) 10+ years of experience with C4I systems with specific focus on systems engineering and cybersecurity support Bachelor's Degree in Engineering, Computer Science, or related field Operating System Certificate (e.g., Linux+, Windows Server, CCNA, etc) Experience supporting Navy C4I or comparable DoD mission environments. Azure Government and classified-cloud engineering experience at IL6. Advanced Azure architecture experience with Azure Virtual Desktop, Azure Arc, ExpressRoute, Azure Firewall, Microsoft Defender, VPN Gateway, virtual machines, containers, and role-based access control. Hybrid-cloud architecture spanning on-premises infrastructure and Azure services. Terraform integrated with Azure Automation, Git-based version control, and CI/CD pipelines. Experience with Azure Kubernetes Service or other Kubernetes/container platforms. Familiarity with DISA STIGs, ACAS/SCAP remediation, RMF controls, POA&Ms, and continuous monitoring. Strong communication, technical documentation, collaboration, and leadership skills in a multi-disciplinary Agile environment. Want to hear more? Read on to see what our Team Members say about their experience: "To me, the best part about working at Atlas is the level of transparency afforded to everyone in the company. I've had plenty of jobs where I knew what I was doing, but at Atlas there is a concerted effort to make sure we also understand why, and how our role directly impacts the overall mission." - Jess "With LEARNING as a core value, Atlas is constantly promoting ways to increase knowledge and stay at the forefront of the latest technology. Team members are regularly encouraged to continue learning and Atlas provides training resources and skills enhancement opportunities internally as well as education reimbursement if you prefer to obtain skills through outside resources or higher education." - Wendy Atlas Tech is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, genetic information, or protected veteran status. We are committed to fostering an inclusive workplace where diverse perspectives are valued and respected. Accessibility & Accommodations Atlas Tech strives to make our website accessible to all users. If you need assistance completing the application process or require a reasonable accommodation due to a disability, please contact us at . This contact information is designated for accommodation requests only and cannot be used to inquire about the status of an application. Atlas Tech is committed to providing reasonable accommodations in accordance with the Americans with Disabilities Act (ADA). Atlas Tech offers a competitive salary, generous benefits package, and an opportunity to make a positive impact in your own community.

Job Description Job Description Experience: 8 - 10 Years Infrastructure Automation Engineer • 6+ years of experience in Infrastructure Automation with Application Integration knowledge. • Strong hands-on experience with Python scripting and application development. • Experience integrating ServiceNow with enterprise applications using REST/SOAP APIs. • Good to have knowledge of ServiceNow modules such as ITSM, ITOM, CMDB, Discovery, and Integration Hub. • Experience with infrastructure automation tools such as Ansible, PowerShell, Terraform, or similar platforms. • Strong understanding of API design, JSON, XML, OAuth, and secure authentication mechanisms. • Experience working with Windows/Linux environments and cloud platforms (AWS/Azure). • Familiarity with SQL databases, data integration, and automation frameworks. • Experience with Git, CI/CD pipelines, automated testing, and Agile methodologies.

Job Description We're working with a global trading technology firm scaling its research compute infrastructure across on-premises environments and public cloud platforms. This is a hands-on engineering opportunity spanning large-scale Linux systems, CPU/GPU compute, high-performance storage and cloud infrastructure. You'll help build and optimise the platforms used for complex simulations, quantitative modelling and computationally intensive research. What You'll Be Working On Building and scaling Linux-based HPC clusters across on-premises and cloud environments. Supporting CPU and GPU compute infrastructure for demanding research workloads. Engineering high-throughput storage solutions for large-scale data processing and simulation. Troubleshooting complex performance issues across Linux, networking, storage and compute. Automating infrastructure provisioning and configuration using Ansible, Terraform and similar tooling. Working with AWS, GCP or Azure to expand compute capacity and improve platform scalability. Evaluating new hardware, infrastructure technologies and approaches to HPC optimisation. Collaborating with software engineers and quantitative research teams to deliver reliable, high-performance compute environments. What We're Looking For Strong Linux systems knowledge and infrastructure troubleshooting skills. Experience with HPC, large-scale compute clusters or distributed infrastructure. Familiarity with cloud platforms such as AWS, GCP or Azure. Experience witah infrastructure automation using Ansible, Terraform or similar tools. Understanding of compute, storage and networking fundamentals. Exposure to GPU computing, high-performance storage or cluster management is advantageous. Python or Bash scripting experience is beneficial. Strong problem-solving skills and an interest in performance engineering and scalable infrastructure. What Can You Expect? Work on the compute infrastructure powering advanced quantitative and options research. Gain exposure to large-scale Linux environments, GPU computing and hybrid cloud architecture. Solve complex infrastructure challenges across compute, storage and networking. Collaborate with highly skilled infrastructure engineers, developers and quantitative researchers. Base salary: $200,000-$250,000 USD , plus discretionary performance bonus. Comprehensive healthcare, retirement benefits, generous paid leave and professional development opportunities. Interested in building infrastructure where computational performance really matters? We'd love to hear from you. Is this role not quite a fit? Feel free to check our website for more openings and let's get in touch for your next challenge!

Job Description Company Description TechSur Solutions is a digital services company whose mission is to enable digital transformation for our customers to improve quality and efficiency. Based in the DC metropolitan area, TechSur specializes in advanced cloud services, modernization for both IT structures and applications, leveraging Agile development, and Data Analytics. Since we were formed in August of 2016, we have supported multiple impactful and exciting government programs. Job Description TechSur is seeking a Senior Cloud Engineer who is fluent in both Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI). You will be the program's go-to engineer for both platforms, splitting your time roughly evenly between them. You will build GCP and OCI foundations that match the same enterprise standards the team applies on AWS and Azure. On GCP, you will establish the organization and folder hierarchy, Shared VPC networking, and organization policies. On OCI, you will build tenancies, compartments, VCN/DRG networking, and Security Zones. On both, you will automate with Infrastructure-as-Code, integrate with the customer's identity, monitoring, and service management tools, and support the platforms in production. Key Responsibilities Design and deploy GCP landing zones: resource hierarchy (organization, folders, projects), Shared VPC hub-and-spoke networking, Cloud Interconnect or HA VPN, and Cloud DNS. Design and deploy OCI landing zones: tenancy and compartment structure, VCN and Dynamic Routing Gateway (DRG) hub-and-spoke networking, FastConnect or IPsec VPN, and DNS. Build and maintain Terraform modules (including OCI Resource Manager) and GitOps workflows for production, integration, development, and sandbox environments on both platforms. Configure IAM and federation with the customer's enterprise identity provider using SAML 2.0 and OIDC, aligned with Zero Trust principles. Enforce guardrails with GCP Organization Policy and Security Command Center, and with OCI Cloud Guard and Security Zones, against NIST SP 800-53 Rev 5 and customer security standards. Apply the enterprise tagging and labeling strategy for asset management and chargeback/showback using GCP Billing Reports and OCI Cost Analysis. Monitor environments with Google Cloud Operations Suite and OCI Monitoring, integrated with Datadog, Splunk, and ServiceNow. Perform patching, routine maintenance, capacity planning, and rightsizing; troubleshoot and resolve incidents as part of 24/7 operations support. Design and test high availability, backup, and disaster recovery on both platforms. Write runbooks and SOPs, supply ATO evidence, and transfer knowledge to customer operations staff. Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. At least 9 years of experience deploying and configuring cloud environments. Hands-on production experience with both Google Cloud Platform and Oracle Cloud Infrastructure. Production experience with Infrastructure-as-Code using Terraform on GCP and OCI. Experience with cloud network design, including private connectivity (Cloud Interconnect, FastConnect, or IPsec VPN), routing, and DNS. Experience implementing IAM and single sign-on federation (SAML 2.0/OIDC). Working knowledge of NIST SP 800-53 security controls in a federal environment. Ability to obtain and maintain the background investigation required by the federal customer. Preferred Qualifications Google Cloud Certified Professional Cloud Architect or Professional Cloud Security Engineer. Oracle Cloud Infrastructure Architect Professional or OCI Multicloud Architect Professional. Experience hosting Oracle Database workloads on OCI (Autonomous Database, Exadata Cloud Service, Base Database Service). Experience with GCP Assured Workloads, OCI US Government regions, or FedRAMP Moderate/High environments. Experience with GCP Cloud Build/Cloud Deploy or OCI DevOps pipelines. Working knowledge of AWS or Azure. Prior support of a civilian federal agency.

Job Description Position Overview: We are seeking an experienced Senior Cloud Automation Engineer to support a large-scale enterprise cloud transformation initiative. The organization currently operates a significant on-premises VMware infrastructure and is looking to migrate substantial workloads to the cloud while developing new cloud-native capabilities. The ideal candidate will have strong experience in infrastructure automation, Infrastructure as Code (IaC), GitOps methodologies, and cloud engineering. This individual will play a key role in automating infrastructure provisioning, supporting virtual machine migrations, and enabling the organization's broader cloud adoption strategy across internal business systems, back-office applications, and customer-facing solutions. Key Responsibilities: Design, develop, and maintain infrastructure automation solutions using Terraform, Ansible, and GitOps practices . Support the migration of existing on-premises VMware virtual machines and enterprise workloads into cloud environments. Develop Infrastructure as Code (IaC) solutions to automate cloud infrastructure provisioning, configuration, and lifecycle management. Establish and maintain GitOps workflows and CI/CD pipelines to support consistent, repeatable infrastructure deployments. Collaborate with infrastructure, networking, security, and application teams to assess workload readiness and execute cloud migration strategies. Support the deployment of new cloud-native applications and infrastructure for internal operations, back-office systems, and customer-facing services. Automate configuration management, deployment, monitoring, and operational tasks across hybrid cloud environments. Implement infrastructure standards and automation best practices to improve scalability, reliability, security, and operational efficiency. Assist with cloud environment optimization, including resource management, performance monitoring, and cost efficiency. Identify opportunities to leverage AI-enabled tools and emerging technologies to improve infrastructure automation and operational efficiency. Develop technical documentation, reusable automation modules, and standardized deployment processes. Required Qualifications: 5+ years of experience in infrastructure engineering, cloud engineering, DevOps, or infrastructure automation. Strong hands-on experience with Terraform for Infrastructure as Code. Strong experience with Ansible for configuration management and automated deployment. Experience implementing GitOps workflows using Git-based repositories and CI/CD tooling. Experience managing and supporting on-premises VMware vSphere / ESXi environments. Demonstrated experience migrating virtual machines, applications, or infrastructure workloads from on-premises environments to public cloud platforms. Hands-on experience with at least one major cloud provider, preferably Microsoft Azure or AWS. Proficiency with scripting languages such as Python, PowerShell, or Bash. Understanding of cloud networking, identity and access management, security, storage, and infrastructure monitoring. Experience supporting hybrid infrastructure environments and enterprise cloud adoption initiatives. Strong troubleshooting, analytical, documentation, and cross-functional communication skills. Preferred Qualifications: Experience with Microsoft Azure, including Azure Virtual Machines, Azure Migrate, Azure DevOps, and Azure infrastructure services. Experience with AWS and/or multicloud environments. Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. Experience with GitHub Actions, GitLab CI/CD, or Azure DevOps Pipelines. Understanding of cloud migration frameworks, landing zones, and infrastructure modernization strategies. Experience utilizing AI-assisted coding, infrastructure automation, AIOps, or intelligent monitoring technologies. Familiarity with cloud security, governance, and compliance frameworks. Relevant certifications such as HashiCorp Terraform Associate, Microsoft Azure Administrator, Azure DevOps Engineer Expert, or AWS certifications. Ideal Candidate Profile: The successful candidate will be a hands-on engineer who is equally comfortable working within traditional VMware infrastructure and modern cloud environments. This individual should be capable of building scalable automation frameworks, contributing directly to enterprise cloud migration efforts, and enabling new cloud-based solutions. The position requires someone who can execute technical work independently while collaborating closely with internal teams to accelerate cloud adoption and infrastructure modernization. Work Location Requirement: This position requires working onsite in Reston, Virginia, five days per week. Work Authorization: U.S. Citizen or Green Card

Job Description JCW has partnered with a leading digital assets and data center infrastructure firm to identify a Vice President, DevOps/SRE to lead their infrastructure automation platform across data center operations. Based in Chicago, this is a senior technical leadership role for a DevOps/SRE professional who can steer an enterprise automation roadmap while remaining hands-on enough to dive into the code. The ideal candidate treats infrastructure as a product and has a proven track record building self-service automation platforms in complex hybrid environments. They are equally comfortable setting IaC governance standards and mentoring a team of engineers. This individual operates with an automate-first mindset, drives engineering velocity, and brings deep expertise across Terraform, Ansible, and VMware in large-scale environments. Key Qualifications 6-10 years of experience in infrastructure, DevOps, or SRE with a focus on automation at scale Deep proficiency with Terraform (providers, modules, state management) and Ansible (roles, playbooks, Tower/AWX) Hands-on experience with image creation tooling (Packer, SCCM) for hardened Windows and Linux builds in hybrid environments Strong experience managing and automating VMware (vSphere/vCenter) and cloud platforms (Azure, AWS) High-level scripting skills across Python, Go, PowerShell, and Bash Experience with observability tools such as Splunk, ELK, Prometheus, or Grafana Strong mastery of Git branching strategies and CI/CD platforms (Jenkins, GitLab CI, or GitHub Actions) Understanding of network topology with experience on platforms such as Juniper or Palo Alto Prior team leadership or management experience strongly preferred

Job Description Job Title: Specialist Programmer - AI Engineer Location: Tampa, FL (Hybrid 3 days/week) Duration: Full-Time Employment MOI: F2F round of Technical Discussion and Weekend Drive Interview on 14th November Required Skill and Experience Experience in developing and applying generative AI models. Strong understanding of Python engineering skills combined with hands-on experience building LLM-powered applications, AI agents, agent orchestration, Model Context Protocol (MCP) integrations, reusable AI Skills, Managed Agents, and Retrieval-Augmented Generation (RAG) solutions Proficiency in programming languages like Python, FastAPI and familiarity with deep learning frameworks like TensorFlow or PyTorch. Experience with Azure and Microsoft/Azure AI services is highly desirable. Build LLM-powered AI agents capable of reasoning, planning, tool invocation, workflow execution, and interaction with enterprise systems. Design and implement single-agent and multi-agent architectures, including agent orchestration, delegation, handoffs, and collaboration patterns Design and implement Model Context Protocol (MCP) clients and servers to expose enterprise data, APIs, and capabilities securely to AI agents Develop reusable Skills, tools, prompts, and agent capabilities that can be shared across multiple agents and use cases. Build and deploy Managed Agents / hosted agents using enterprise AI platforms and agent services Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment. Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities. Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability. Preferred Skill and Experience Experience in cloud-based platforms like Azure & Microsoft / Azure AI services Experience in Open-Source tools and technologies Consistent score in Coding sites like Hackerrank, CodeChef etc. Industry-acclaimed External Certifications, if applicable Active participation in Technology forums Contribution to Open-Source Community. Effective collaboration and communication skills Excellent problem-solving skills and a strong analytical mind. Experience working in a collaborative and fast-paced environment.

Job Description Junior / Mid-Level Full Stack Developer Location: Remote Employment Type: Contract-to-Hire Experience: Approximately 2-5 years preferred Anticipated Start: Early 2027 Work Authorization: US Citizens and Green Card Holders Only About the Role We are seeking a Junior to Mid-Level Full Stack Developer to support the continued development and expansion of an internal application. This individual will work alongside a collaborative development team to build, enhance, and maintain features within a growing enterprise application. The ideal candidate will have hands-on experience across frontend and backend technologies, strong problem-solving skills, and the ability to contribute throughout the software development lifecycle. As the platform continues to grow, the team plans to expand into smaller, cross-functional development pods focused on different areas of the application. Key Responsibilities Design, develop, test, and maintain scalable applications supporting the platform. Develop backend services and APIs using C# and Java. Build and enhance frontend features using Next.js. Work with MongoDB and Databricks to support application data needs. Collaborate with developers, business analysts, and product stakeholders to translate business requirements into technical solutions. Troubleshoot application issues, debug code, and implement enhancements to improve performance and functionality. Participate in code reviews, testing, and deployment activities to ensure high-quality software delivery. Support ongoing application enhancements and new feature development. Work within an Agile development environment and contribute to cross-functional development teams. Required Qualifications Approximately 2-5 years of professional software development experience, with flexibility based on technical background. Hands-on development experience with all five required technologies: C# Java Next.js MongoDB Databricks Experience developing frontend and backend components of enterprise applications. Strong understanding of RESTful APIs, microservices, and application integrations. Familiarity with software development lifecycle (SDLC) and Agile methodologies. Experience with Git, debugging, testing, and code reviews. Strong communication, collaboration, and problem-solving skills. Preferred Qualifications Experience developing scalable enterprise applications. Familiarity with cloud environments such as Azure or AWS. Experience with CI/CD pipelines and automated deployments. Exposure to Docker, Kubernetes, or containerized applications. Experience working within cross-functional Agile development teams. Ability to independently troubleshoot issues and contribute to end-to-end feature development. About Brooksource Brooksource is a trusted technology staffing and consulting partner that connects talented professionals with opportunities at leading organizations. We are committed to supporting our consultants' professional growth while delivering impactful technology solutions to our clients. EEO Statement : Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.

Job Description Position Summary Vantage is seeking a strategic and hands-on Analytics Manager to lead and grow its enterprise analytics capability. This individual will oversee the development of advanced data solutions and reporting frameworks that enable stakeholders across the business to make data-driven decisions. This role is both a builder and a leader-responsible for aligning analytics strategies to business goals while managing a small team of high-performing data professionals. The successful candidate will bring strong experience in enterprise data environments (e.g., Power BI, Azure, Snowflake, Databricks), a solid understanding of data modeling and architecture, and the leadership skills to guide a growing analytics function. This is a highly visible role with direct impact on organizational performance, technology evolution, and strategic insight delivery. Essential Duties And Responsibilities Lead the execution of a scalable and forward-looking analytics strategy in alignment with enterprise goals and IT architecture. Manage and mentor a team of two Data Engineers and one Data/Business Analyst, fostering collaboration, skill development, and performance. Collaborate directly with business stakeholders to translate their needs into actionable data solutions, analytics dashboards, and decision-support tools. Oversee and enhance the data pipeline lifecycle-ingestion, transformation, storage, and visualization-ensuring high data quality and performance. Architect and maintain robust data models that support scalable self-service analytics and advanced reporting across the organization. Design and enforce data governance and standardization practices in partnership with the IT architecture team. Serve as a subject matter expert in analytics technologies including Power BI, Snowflake, Azure Data Factory, and Databricks. Champion the use of data to drive innovation, efficiency, and business value across departments. Proactively research, evaluate, and implement emerging analytics tools and practices to strengthen platform capabilities. Support strategic projects and act as the analytics lead on cross-functional initiatives. Education & Experience Bachelor's or Master's degree in Analytics, Computer Science, Information Systems, or related field. 5-10 years of experience in analytics, data engineering, or business intelligence roles, with 2+ years in a leadership capacity. Knowledge, Skills, & Talents Demonstrated expertise in SQL and Python for data analysis and transformation. Strong grasp of data modeling, warehouse architecture, and business intelligence tools. Proven ability to manage teams, projects, and timelines in a cross-functional environment. Ability to balance changing and potentially conflicting priorities & working with uncertainty. Strong communication skills for making presentations, developing and maintaining relationships with ability to communicate complex issues in a crisp, clear and concise way is ideal. Knowledge of data quality frameworks and data governance best practices. Previous experience with ELT/ETL pipeline design and implementation in cloud-based environments. Exposure to agile delivery methodologies and collaborative project management tools. Experience aligning analytics with business goals, including performance metrics, reporting standards, and operational KPIs. Ability to identify problems, formulate solutions, influence others, and drive results are important skills for this role. Pay And Benefits The estimated base pay range for this position is: $120,000 - $180,000 annually. Actual pay will be determined based on education, certifications, experience, qualifications, skills and geographic location. This position is eligible to participate in a short-term incentive program. Vantage offers a comprehensive benefits package to eligible employees, including: Medical, HSA, dental, vision FSA (limited purpose, dependent care, and commuter/parking) Life and AD&D insurance Accident, hospital indemnity and critical illness insurance Short- and long-term disability EAP, identity theft protection Paid time off, Parental Leave 401(k) with company match Equal Employment Opportunity Vantage is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other protected category. About Vantage Vantage provides natural solutions to our customers' technical performance and marketing needs through a unique combination of chemistry, application expertise and service. Underpinned by our broad portfolio of formulations, ingredients and actives that are built on a backbone of sustainable oils, fats and their derivatives, Vantage targets selected markets and applications including personal care, food, surface treatment, agriculture, pharma, and consumer and industrial performance. Vantage is headquartered in Deerfield, IL., operates in 11 countries worldwide and employs more than 1,000 talented professionals focused on delivering exceptional customer experiences with every interaction. We are a dynamic people-centered organization where you'll be part of a collaborative global team. Embracing our cultural diversity, we learn from each other to constantly improve, adapt and iterate. We value the voices and talents of our colleagues, empowering them to drive their unique ideas to completion. We're convinced that exceptionally motivated employees produce outstanding results and we celebrate them by fostering a culture of recognition, development, learning, excellence and shared achievement. Most importantly, we know you're going to like it here. For more information visit: or LinkedIn/vantage.

Job Description Job Title: GenAI Architect Location: New York City, NY (Onsite/Local Candidates Preferred) Experience: 10+ Years Visa: Open to All Visa Types Job Summary: We are seeking an experienced GenAI Architect with 10+ years of overall experience to design, architect, and lead the delivery of enterprise-grade Generative AI solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, and cloud-based AI architectures. The candidate will be responsible for translating business requirements into scalable, secure, and production-ready AI solutions while collaborating closely with business stakeholders, data scientists, and engineering teams. Key Responsibilities: Design and architect enterprise-grade Generative AI solutions leveraging LLMs, RAG pipelines, and agentic AI frameworks. Lead the development and implementation of scalable AI applications and intelligent automation solutions. Architect end-to-end RAG solutions, including document ingestion, chunking, embedding generation, vector databases, retrieval, and response generation. Design and implement agentic workflows using tools, APIs, orchestration frameworks, and multi-agent architectures. Evaluate and integrate LLM models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems. Leverage cloud platforms such as AWS, Azure, or GCP to build and deploy enterprise AI solutions. Establish best practices for prompt engineering, context management, model evaluation, performance optimization, and LLM observability. Ensure AI solutions meet enterprise requirements for security, scalability, governance, compliance, and responsible AI. Collaborate with business stakeholders and technical teams to identify AI opportunities and translate business use cases into technical architectures. Provide technical leadership, architecture guidance, and mentorship to engineering teams throughout the development lifecycle. Required Technical Skills: 10+ years of overall experience in software engineering, solution architecture, AI/ML, or related technology domains. Strong hands-on experience designing and implementing Generative AI and LLM-based applications. Extensive experience with RAG architecture, vector databases, embeddings, semantic search, and knowledge retrieval systems. Strong understanding of Agentic AI, AI agents, multi-agent systems, and tool/function calling. Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar. Proficiency in Python and experience developing enterprise-grade applications and APIs. Experience working with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs. Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of vector databases such as Pinecone, Azure AI Search, FAISS, Weaviate, Milvus, or Chroma. Understanding of LLMOps, model deployment, monitoring, evaluation, and optimization. Experience with enterprise security, data privacy, access controls, and responsible AI practices. Preferred Qualifications: Experience architecting and delivering enterprise-scale GenAI solutions from concept to production. Knowledge of Kubernetes, Docker, microservices, and CI/CD pipelines. Experience with fine-tuning, model customization, and prompt optimization. Familiarity with AI governance, guardrails, hallucination mitigation, and responsible AI implementation. Excellent communication, stakeholder management, and technical leadership skills.

Job Description Location : Columbia, MD Atleast 3 days on-site Position Description : The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks: The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor's or master's degree in Computer Science or a quantitative field Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture; Designing, developing, and maintaining infrastructure and backend applications; Providing expertise on defining the role of broadband and wireless applications; Providing definition of current State architecture blueprints; Providing expertise with web servers, gateways, application servers, and content management systems; Providing experience in web application technologies and middleware solutions; Researching new technologies and products for their applicability to business processes; Comparing various solutions and determining the most suitable; and Ensuring that development efforts are well-planned and in compliance to standards. Education: This position requires a Bachelor's degree from an accredited college or university in Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A Master's degree is preferred.) General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor ExpediteInfoTech, Inc. is an Equal Opportunity Employer. Please carefully review the position details, including location, work authorization status and other government contractual requirements.

Job Description Senior PolyPaths Consultant & L3 Support Lead About the role Arrayo builds and embeds senior delivery teams inside the risk and technology functions of major financial institutions. We're hiring a Senior PolyPaths Consultant & L3 Support Lead to support a fixed income risk platform, with a particular focus on mortgage products. You'll combine deep PolyPaths expertise with ownership of production support and hands-on data engineering. The work spans daily risk runs, complex incident resolution, platform configuration, and the pipelines and automation that connect PolyPaths to the broader risk environment. This role calls for someone who can get productive quickly, take responsibility for critical production processes, and work confidently with Market Risk, Quant, Front Office and technology stakeholders. What you'll do Serve as the PolyPaths subject matter expert across configuration, scenario setup, batch processing, and integration with upstream and downstream systems. Support mortgage and securitized product analytics across agency MBS, CMOs, TBAs, non-agency RMBS, CMBS and ABS, including prepayment and default assumptions, OAS, duration, convexity and key rate sensitivities. Own L3 production support: investigate complex incidents, identify root causes, implement permanent fixes, and protect service levels for daily and intraday risk runs. Lead post-incident reviews, maintain runbooks, mentor L1/L2 support analysts, and participate in the on-call rotation. Write and optimize SQL to validate and reconcile trades, positions, market data and risk results. Develop and maintain ETL workflows using SSIS or equivalent tooling, and build Databricks pipelines and notebooks using PySpark and SQL. Use Python to automate batch processes, monitoring, data validation, reconciliation and exception reporting. Support PolyPaths upgrades and model assumption changes through regression testing, UAT and release planning, coordinating with the vendor on defects and enhancements. Document systems, processes and fixes to support audit and control requirements, and transfer knowledge to permanent teams. What we're looking for At least five years of hands-on PolyPaths experience across configuration, analytics, integration or production support. Strong fixed income risk knowledge, particularly mortgage products, prepayment modeling and OAS analytics. Proven experience providing or leading L3 support in financial services, including incident, problem and change management. Strong Python skills, with experience developing production-quality scripts for automation, data processing and validation. Advanced SQL skills, including complex queries, performance tuning and stored procedures. Hands-on experience with SSIS or another enterprise ETL platform, such as Informatica, Talend, Azure Data Factory or DataStage. Practical Databricks experience, including Spark, Delta Lake, notebooks and job orchestration. Working knowledge of market risk measures, including sensitivities, VaR, scenario and stress analysis, and P&L explain. Strong troubleshooting skills, clear communication, and the ability to work effectively under pressure around critical risk deadlines. Experience with other analytics platforms such as Bloomberg, Yield Book, Intex or Aladdin; workflow schedulers; CI/CD tooling; cloud platforms; or regulatory frameworks such as FRTB and CCAR/DFAST would be a plus. Why Arrayo You'll join a firm of senior practitioners working across risk, data and technology at leading financial institutions. This engagement offers direct ownership of a critical risk platform, close collaboration with business and technical teams, and the opportunity to improve both production reliability and the underlying data processes.

Job Description Top tier financial investment firm seeks an AI Engineer who will lead the design, build, and end-to-end delivery of business-facing AI applications and automation across the Firm. As a member of the AI team within Business Technology, the AI Engineer will work directly with front office Investment Profesionals to understand transaction workflows, translate business needs into technical specifications, and own delivery of practical solutions within the Firm's ecosystem, anticipating issues and managing priorities, resources, and timelines. This is a hands-on, full-stack engineering role combining stakeholder engagement, requirements analysis, software development, testing, deployment, and support. The AI Engineer will also contribute to the Firm's internal AI platform by building and maintaining reusable API integrations, Model Context Protocol (MCP) connectors, and workflow components that securely connect AI applications and agents to approved enterprise systems and data. The AI Engineer will lead day-to-day delivery with a high degree of independence, provide technical guidance and mentoring to junior colleagues, and coordinate with Businesses, Data Science, IT, Information Security, Compliance, and external vendors. Key Responsibilities: Partner with Business to lead requirements gathering and documentation; translate workflows into user stories, technical specifications, and acceptance criteria. Evaluate existing tools before recommending a new build. Lead the design and development of full-stack applications, dashboards, and workflow tools, connecting user interfaces, APIs, databases, and approved AI services to support information synthesis and banker productivity. Own the design, build, testing, and maintenance of secure, reusable API integrations and MCP connectors between the Firm's AI platform and approved enterprise systems, data sources, and third-party services. Lead the development and maintenance of reviewed, configurable templates and reusable components so solutions can be adapted across transactions rather than rebuilt for each deal. Guide AI workflow orchestration and contribute to technical planning. Apply and reinforce engineering best practices, including version control, peer code review, automated testing, secure credential management, logging, and technical documentation. Evaluate AI output quality, reliability, latency, and cost. Lead user acceptance testing, user training, and feedback. Work with IT and engineering on approved deployment, monitoring, support handover, and retirement of temporary deal tools. Partner with Information Security and Compliance to identify and review material changes to solutions or enhancements that warrant additional assessment. Required Skills: Strong hands-on software development expertise in Python and JavaScript or TypeScript , with experience building web interfaces and backend services using frameworks such as React, Next.js, or Django. Demonstrated expertise designing, building, consuming, and troubleshooting APIs and connectors, with familiarity with Model Context Protocol (MCP) desirable. Strong working knowledge of SQL and relational databases Proficiency in Git, testing, debugging, and deployment practices, with the ability to write clear, maintainable, reviewable code. Working knowledge of generative AI architecture and demonstrated experience with large language model integration, including output validation and the limitations of AI-generated results and code. Ability to translate complex business needs into workable technical solutions, exercise sound technical judgment, and explain trade-offs and business objectives clearly to technical and non-technical stakeholders. Strong analytical thinking, organization, documentation, attention to detail, and customer service orientation. Sound judgment when handling confidential information and escalating risks. Intellectual curiosity, adaptability, and the ability to lead projects from start to finish with a high degree of independence, guide junior colleagues, and recognize when to involve senior colleagues on architecture, security, and production readiness. Plusses: Experience with AI-enabled applications, retrieval-augmented generation, agent workflows, or model evaluation. Experience with cloud platforms such as Azure, containers, CI/CD, authentication, role-based access controls, and application monitoring. Experience working in an Agile environment, using tools such as Jira, and conducting stakeholder demos, user acceptance testing, or user training. Education & Experience: Bachelor's degree in Computer Science, Software Engineering, or a related technical field Demonstrated professional experience delivering full-stack applications and integrations, with ownership of projects or workstreams from requirements through deployment and support.

Job Description ABOUT US Shipwell is revolutionizing the logistics industry, redefining how the supply chain operates after centuries of convention. By uniting thousands of shippers and carriers on a cutting-edge technology platform, we are the leading software solution in logistics. With a bold startup energy and recent $35M Series B funding, Shipwell offers an exceptional opportunity to shape the future of a company destined for the Fortune 500. Supported by top-tier Silicon Valley and Austin investors, we are dedicated to driving innovation and growth in the supply chain sector. STAFF SOFTWARE ENGINEER The Staff Software Engineer role is a rare chance to shape the core systems of a high-growth startup that's breaking barriers in its third record-setting year. We're looking for a senior technical leader who does their best work hands-on: someone who takes on the hardest problems, writes code that sets the standard for others, and helps whole teams get better. Shipwell is an AI-forward engineering organization. We expect our Staff Engineers to be experienced with AI-driven development and to lead in it, using agents to multiply what they and their teams can deliver. As a Staff Engineer, you'll own complex, high-impact parts of our logistics platform from design through production. You'll work closely with engineering, product, and architecture to turn technical strategy into working software, and you'll mentor engineers along the way. WHAT YOU WILL DO WHEN YOU GET HERE • Own the design, build, and ongoing health of critical systems and services on the Shipwell platform. • Write high-quality, well-tested, production code, and spend most of your time building. • Use AI agents and multi-agent workflows day to day to speed up code generation, code review, and QA testing, while keeping quality high. • Build and share custom agents, establishing / reviewing projects AI Harness, and workflows that boost your own productivity and your team's. • Help set how Shipwell engineers use AI, including best practices, guardrails, and ways to measure its impact on speed and quality. • Break large, unclear problems into clear technical plans that teams can deliver step by step. • Lead technical efforts that span several teams, keeping work aligned and unblocking delivery. Acting as gate keeper and reviewer for project code patterns to support squad decisions and tuning, or critical shared entities • Work with architecture and product leadership to turn platform strategy into practical designs. • Raise the bar for code quality, testing, observability, and operations through code reviews and by example. • Find and fix performance bottlenecks, reliability risks, and tech debt before they become problems. • Mentor senior and mid-level engineers, including coaching them on working well with AI tools. • Take part in incident response and root-cause analysis, and drive lasting fixes. WHAT YOU NEED TO HAVE • BS/MS/Ph.D. in Computer Science or a related field, or equivalent practical experience. • 8+ years of professional software development, including 2+ years at a senior or staff level leading technical projects. • A track record of designing, building, and running distributed systems at scale in production. • Deep expertise in at least one modern language (e.g., Python / Django). • Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB), including data modeling and query tuning. • Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure), containers, and CI/CD pipelines. • Experience with API design, event-driven architectures, and integrating with third-party systems. • Familiarity with agile development and DevOps practices, including owning what you ship in production with proven experience with GH actions or similar, for CI. • Excellent communication skills, with the ability to explain technical tradeoffs to engineers and non-technical partners. AI-Driven Development • Proven, hands-on experience using AI coding agents (e.g., Claude Code, Cursor, OpenAI Astra, or similar) to write production code. • Experience running multi-agent workflows, or "swarms," where several agents work in parallel on code generation, code review, and QA testing. • A track record of building your own agents, custom tools, or automated workflows to improve your productivity, such as review bots, test generators, or task runners. • Working knowledge of prompt and context engineering, tool/function calling, and protocols such as MCP (Model Context Protocol). • Sound judgment about where AI fits: you know when to trust agent output, how to check it, and how to keep AI-generated code secure, correct, and maintainable. • Portfolio or examples preferred: be ready to show agents, workflows, or projects you've built and how they changed the way you work. Nice to Have • Experience in logistics, supply chain, or transportation technology. • Background with EDI, carrier integrations, or high-volume transactional systems. WHY SHIPWELL? • Corporate headquarters in sunny Austin, TX. • An exciting growth opportunity at one of Austin's fastest-growing companies. • Comprehensive healthcare and dental insurance. • Engaging team-building events and fun office competitions. • Partial cell phone reimbursement. • An elite technology package, including a new MacBook Pro. • Competitive salary and career advancement opportunities. • A collaborative work environment where every voice is heard and valued. We are Shipwell, and we're not just about logistics. We're about innovation, transformation, and creating something extraordinary together. Shipwell is an equal opportunity employer, committed to fostering a diverse and inclusive workplace.

Job Description Role Overview: The Vice President, Workforce Identity and Directory Services, serves as the primary owner of all Active Directory-related infrastructure and strategy. This role leads the design, governance, and modernization of the enterprise identity platform across on-premises, hybrid, and cloud environments. The VP is responsible for developing long-term technology roadmaps, driving security best practices, and partnering with Security, Infrastructure, and Application teams to deliver scalable, resilient identity services aligned with business objectives. Key Responsibilities: Serve as the primary owner and point of contact for all Active Directory infrastructure, strategy, and operations across on-premises and cloud environments. Lead and execute a long-term technology roadmap to modernize the Active Directory environment, including forest and domain consolidation, AD tiering model implementation, strategic reduction and decommissioning of on-premises domain controllers, and accelerating workload migration from on-premises AD to Microsoft Entra ID. Architect and govern enterprise Active Directory Domain Services (AD DS), Active Directory Certificate Services (AD CS), DNS, and DHCP, PKI, ensuring high availability, disaster recovery readiness, and security at scale. Drive the adoption and optimization of Microsoft Entra ID security features, including Conditional Access, Identity Protection, Identity Governance, Workload Identities, and Entra Permissions Management. Govern Entra ID external collaboration and application identity, including cross-tenant access policies, B2B guest account lifecycle, app registration and enterprise application management, API permission and consent policy governance, and service principal security and credential rotation. Manage hybrid Active Directory environments, including Azure AD Connect / Cloud Sync configuration, seamless SSO, pass-through authentication, and directory synchronization health monitoring. Design and enforce Group Policy architecture at scale, including GPO lifecycle management, security baselines, and policy inheritance strategies across complex OU structures. Establish and enforce identity security best practices, policies, and standards across the organization in alignment with zero trust principles and AD tiering models (Enhanced Security Admin Environment). Oversee Kerberos, NTLM, LDAP, and certificate-based authentication protocols, driving migration away from legacy protocols toward modern authentication standards. Lead AD Forest and domain trust management, replication topology optimization, Sites and Services configuration, and schema extension governance. Partner with Security, Compliance, and Risk teams to ensure identity infrastructure meets regulatory and audit requirements, including SOX, NIST, and industry-specific mandates. Oversee incident response, disaster recovery, and root cause analysis for identity-related security events, AD replication failures, and service disruptions. Evaluate emerging identity technologies and industry trends including passwordless authentication, decentralized identity, and AI-driven threat detection to inform strategic planning and investment decisions. Required Qualifications: 10+ years of progressive experience in IT infrastructure with a focus on Active Directory and identity management, including at least 5 years in an architect or senior engineering capacity. Deep knowledge of Microsoft 365 from an identity and access management perspective, including Exchange Online, SharePoint Online, and Teams integration with Entra ID, M365 group and license management, app consent frameworks, service principals, and Microsoft 365 Defender for identity-related threat detection. Deep fluency in authentication and federation protocols, including SAML, OAuth 2.0, OpenID Connect, WS-Federation, Kerberos, LDAP, and NTLM, with a track record of migrating environments away from legacy protocols. Experience implementing passwordless authentication strategies, including FIDO2, Windows Hello for Business, and certificate-based authentication via PKI. Hands-on experience with Active Directory security assessment and hardening tools such as BloodHound, PingCastle, and Purple Knight for attack path analysis and security posture evaluation. Knowledge of service account governance, including Group Managed Service Accounts (gMSA), and endpoint security tooling such as LAPS. Proficiency with PowerShell, Terraform, DSC, and Microsoft Graph API for identity infrastructure automation, reporting, and configuration drift detection. Working knowledge of NIST, SOX, or other regulatory compliance frameworks as they relate to identity management and PKI governance. Microsoft certifications such as Microsoft Certified: Identity and Access Administrator Associate, Azure Solutions Architect Expert, or Cybersecurity Architect Expert. Proven track record of building, mentoring, and managing high-performing identity engineering teams. Excellent communication and stakeholder management skills, to include translating complex identity concepts for non-technical audiences and influence at all levels of the organization. Preferred Qualifications: Identity architecture and strategic technology vision Enterprise security and zero trust mindset Deep technical problem solving across complex, multi-forest AD environments Stakeholder management and executive communication Strong ownership, accountability, and bias toward action Experience in financial services, private equity, or other highly regulated industries.

Job Description Senior Software Engineer - Azure / Microsoft 365 Work Arrangement: Onsite Location: Downtown, NY (Financial District) Interview Process: 2 Rounds (1st video, 2nd In Person) Industry: Financial Services Pay rate: $75.00 to $100.00 per hour on W2 (10 years of experience) Must be legally authorized to work in the US. We are unable to provide visa sponsorship now or in the future for this position. No C2C or third-party candidates Position Overview We are seeking a highly skilled Senior Software Engineer with strong hands-on development experience in Microsoft Azure, SPFx, TypeScript, and React. This is a technical engineering and architecture role requiring the ability to independently develop, deploy, and support Azure-based enterprise applications. This is not a Power Platform-only or low-code development position. Key Responsibilities Develop custom SPFx applications using TypeScript and React. Build and deploy Azure Functions using C# or TypeScript/JavaScript. Develop solutions using Azure App Services, Logic Apps, and REST APIs. Integrate Microsoft 365, SharePoint lists/libraries, and enterprise applications. Develop and support Power Apps and Power Automate solutions. Design, troubleshoot, and deploy secure, scalable Azure applications. Required Technical Skills SPFx, TypeScript, React: Strong hands-on coding, debugging, and development experience. Azure Functions: Proven development experience using C# or TypeScript/JavaScript. Azure App Services and Logic Apps: Experience developing and deploying Azure solutions. REST APIs: Experience with enterprise application integrations. Power Platform: Working experience with Power Apps and Power Automate. Architecture: Ability to independently design and deliver enterprise applications. Preferred Qualifications Microsoft Copilot Studio, Azure AI Foundry, or agentic AI development. AI proof-of-concept development experience. Microsoft Graph API integration experience. Interview Process Candidates should be prepared for technical coding assessments covering SPFx and Azure Functions. A final onsite interview is required. Ideal Candidate A hands-on senior software engineer with strong TypeScript/React and Azure development expertise who can independently write code, troubleshoot applications, and deploy cloud solutions. Candidates focused primarily on low-code Power Platform development will not be considered.

Job Description Senior Software Engineer Only W2 Location -Westlake Texas Or Covington Kentucky 5-7 years of exp in Python, API Skills, experience using Jenkins for CI/CD, containerization skills in Kubernetes, and AWS services exp. The Role Design, develop, test, deploy, and maintain production-quality Python applications, APIs, libraries, packages, and reusable components. Apply object-oriented programming, modular architecture, design patterns, and clean-code principles to create maintainable, extensible, and scalable software. Demonstrate advanced Python proficiency, including classes, modules, functions, data structures, type hints, packaging, dependency management, exception handling, and asynchronous or parallel-processing concepts. Develop reusable frameworks, utilities, templates, and self-service capabilities that reduce duplication and improve developer productivity. Design, configure, deploy, and support containerized applications on Kubernetes in AWS, Azure, or comparable public-cloud environments. Use Infrastructure as Code tools such as Terraform, AWS CloudFormation, or Azure Resource Manager templates to automate cloud and platform infrastructure. Build and maintain CI/CD workflows using technologies such as GitHub, Jenkins, and Artifactory for source control, testing, packaging, artifact management, deployment, and release automation. Nice to have: Familiarity with ETL/ELT pipelines, Apache Airflow, Apache Spark, and distributed data-processing concepts is beneficial. AWS or Azure cloud certification is a plus.

Job Description Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. Our engineering teams build systems that power high-volume trading, real-time financial data, and mission-critical infrastructure. We expect our engineers to operate at a level where technical depth, sound judgment, and clear communication all carry weight - the problems are complex, the systems are production-critical, and the people you work with will hold you to a high standard. The Staff Engineer Role We are hiring a Staff Engineer to design, build, and own full-stack systems powering financial platforms - from frontend architecture to backend services to distributed event-driven infrastructure. This is not a role where you pick up tickets and ship features. You will be expected to think end-to-end: to understand the business problem, design the system, make the trade-offs, and deliver production-grade software that performs reliably under heavy load. You will work directly with senior stakeholders across technical and non-technical functions, often navigating competing priorities, ambiguity, and high-pressure timelines. The ability to communicate clearly, manage complexity across people and systems, and maintain a high quality bar when things get difficult is essential. If you have built and shipped systems that mattered - at a startup, at a large company, or somewhere in between - and you are looking for a role where you will be challenged technically while also growing your ability to operate in complex, high-stakes environments, we want to hear from you. What You Will Do Frontend Architecture Build scalable frontend platforms using React, Next.js, and TypeScript. Design modern UI architectures: server-side rendering, component-driven design, performance optimization, and state management patterns. Develop reusable component systems and scalable frontend frameworks. Backend Engineering Build backend services using Node.js and NestJS. Design and implement REST APIs, microservices, asynchronous workflows, and high-performance data processing systems. Work with SQL and NoSQL databases using TypeORM, and optimize for throughput and reliability. Event-Driven & Distributed Systems Design distributed systems built on event-driven architecture using Kafka, Azure Service Bus, Azure Event Grid, and messaging/queue systems. Build services that process high-volume financial events and real-time trading data. Cloud & Infrastructure Deploy and operate systems on Microsoft Azure, including Azure App Services, Azure Data Fabric, messaging platforms, Docker, CI/CD pipelines, and Linux environments. Design infrastructure that supports resilient, scalable distributed systems. What Sets You Apart We are looking for engineers who demonstrate several of the following: You have designed and operated event-driven distributed systems that process high-volume real-time data. You have a deep understanding of algorithms, data structures, and time complexity - and you apply that understanding to build systems, not just pass interviews. You have built full-stack platforms using React/Next.js and Node.js/NestJS that run reliably in production. You have hands-on experience with message queues, streaming platforms, and asynchronous workflows - Kafka, Azure Service Bus, BullMQ, or similar. You reason clearly about system trade-offs: latency vs. throughput, consistency vs. availability, speed vs. reliability. You have operated systems in cloud environments like Microsoft Azure, including debugging production incidents and improving performance under pressure. You design systems end-to-end and take ownership of architecture and production outcomes - not just the code you wrote. You have mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision-making. You communicate well under pressure. You can hold your ground in a room full of stakeholders, explain a technical decision to a non-technical audience, and navigate situations where the right path forward is not obvious. Technology Ecosystem Frontend: React, Next.js, TypeScript, JavaScript, TailwindCSS, HTML5, CSS3 Backend: Node.js, NestJS, REST APIs, Microservices, BullMQ, TypeORM Event-Driven: Kafka, Azure Service Bus, Azure Event Grid Infrastructure: Microsoft Azure, Azure Data Fabric, Docker, CI/CD, Infrastructure-as-Code, Linux Data: SQL, NoSQL, Azure Data Fabric Compensation: $75 - $85 / Hour Our Process 15-minute video call with someone from our team 4 Proctored GQ Tests (under 2 hours) 30-45-minute final video interview Job offer If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.