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Overview We’re looking for a technical Trade Support Engineer to provide front-office support for a high-pressure trading environment. This role bridges the gap between traders and engineers, ensuring smooth operation of proprietary trading systems, market data feeds, and connectivity tools. What You’ll Do • Provide production support, troubleshoot trading systems, market data feeds, and connectivity issues., • Communicate directly with traders, engineers, and external partners (exchanges, clearing firms) to resolve technical problems., • Develop and maintain automation scripts using Python and Bash., • Query and analyze data using SQL for troubleshooting and reporting., • Collaborate across teams (traders, DBAs, developers, QA, infrastructure) to maintain system health in a 24x7 environment., • Create and update documentation for processes, troubleshooting, and system architecture. Required Skills • 3+ years in financial services or trading support roles (preferred), • Bachelor’s degree in STEM or related field., • Strong Python and Bash scripting experience., • SQL proficiency for querying, reporting, and troubleshooting., • Comfortable using Linux/Unix command line environments., • Familiarity with version control systems (Git/GitHub)., • Experience supporting proprietary trading systems or similar high-pressure technical environments (preferred), • Strong communication skills and a service-oriented mindset.

Prestigious Enterprise Security Services Company is currently seeking a Senior Ransomware and EndPoint Security Product Engineer. Candidate will analyze ransomware samples and threat actor tools to gain insights for future product features, threat actor insights, and assist in the validation of our current capabilities. The ideal candidate will be a proficient reverse engineer with experience in analyzing malware, have a strong understanding of cryptography used in ransomware, and the ability to develop tools to augment existing capabilities. Responsibilities • Endpoint Hardening & Testing, • Design and implement security test harnesses from scratch to simulate real-world ransomware behavior, • Develop and integrate fuzzers (libFuzzer, AFL/WinAFL, or custom tools) for automated crash and vulnerability discovery, • Build user-mode hooking instrumentation and explore EDR bypass techniques to exercise agent internals, • Vulnerability Research & Triage, • Triage, reproduce, and analyze security findings against our agent and libraries, • Perform root-cause analysis on crashes or logic flaws; build minimal PoC exploits or reproducer cases, • Platform Expertise, • Deep understanding of Windows internals (ring transitions, memory management, Win32 API) with focus on user-mode security hooks, • 5+ years in product security or endpoint-focused consulting, with hands-on testing of Windows-based agents or EDR/AV products, • Experience building fuzzers or integrating existing fuzzing frameworks for native code, • Experience and capability in building automated test harnesses from the ground up, • Strong Windows OS internals knowledge, especially user-mode hooking and Win32 API behaviors, • Proficient in C/C++ and Python, with solid experience calling with Windows APIs, • Experience reviewing and validating security findings, • Comfortable researching and suggesting security features end-to-end and creating technical content, • Rust development experience, particularly around FFI or unsafe code, • Published tooling or research in vulnerability discovery, fuzzing, and/or automated test frameworks, • Hands-on experience with CI platforms (GitHub Actions, Jenkins) to automate security workflows

NO SPONSORSHIP - NO OPT Site Reliability Engineering This is all about Linux, Kubernetes, Docker, Terraform, Jenkins, Ansible, Harness Observation, logging and Capacity planning AI is a huge preference Kafka is a huge preference, but not a must SELLING POINTS: AWS Cloud application profiling monitoring logging metrics collection analysis AI ops splunk app dynamics data dog stack driver sys dig scripting bash python go messaging kafka rabbit mq active mq kubernetes docker swarm rancher Jenkins travis harness AI power tools linux Qualifications: • Experience with maintaining and troubleshooting large-scale distributed systems, • Experience with Agile / Scrum methodology, • Able to succeed in fast-paced environment with frequent changes, • Experience managing infrastructure in public cloud environments like AWS (preferred), Azure or GCP, • Experience with AIOps and predictive analysis for anomaly detection, forecasting system capacity using monitoring and alerting tools like Splunk, AppDynamics, Datadog, StackDriver, Sysdig, Prometheus or Grafana, • Programming/scripting experience in languages like Java, Bash, Python or Go, • Experience with Kafka, RabbitMQ, or ActiveMQ, • Experience with container orchestration systems like Kubernetes, Mesos, Docker Swarm or Rancher, • Experience with using Continuous Integration and Continuous Delivery (CI/CD) tools like Jenkins, Travis, Harness, Appveyor, CodeBuild or CodePipeline, • Familiarity with leveraging large language models (LLMs) to automate and optimize SRE workflows. This may include using AI-powered tools to perform tasks such as, writing scripts, summarizing incident reports, or even creating and maintaining AI workloads., • Familiarity with leveraging large language models (LLMs) to automate and optimize SRE workflows. This may include using AI-powered tools to perform tasks such as, writing scripts, summarizing incident reports, data analysis or even creating and maintaining AI workloads., • Basic exposure to Chaos Engineering tools like, Gremlin, Chaos Monkey, Harness Chaos Engineering, or cloud-native fault injection services like AWS FIS., • Minimum of 4+ years of experience in Site Reliability Engineering / DevOps

Thanks for taking time to stop by and take a look at the SharePoint / .net Developer role I posted here on LinkedIN, I appreciate it quite a bit. I realize that looking for work - especially now - kinda stinks. So, I am going to try and make this as pain free as possible. Allow me to introduce myself just a bit. My name is Tom Welke, I am Partner & VP at RSM Solutions, Inc. I have been recruiting technical talent for a long long time and been in the tech sector for longer than that. I'm saying all this not to gloat, I am saying this so that you know that you are actually dealing with a real, live, breathing human. Not a bot, not an AI engine. Like I said, if I can make this easier, I will gladly do my best to try. That being said, you will see some humor in this JD... So, let's get down to it... As with just about every role I work on, social fit is important. Granted, there will be some 'gotta have's otherwise someone's going to have a coronary' from a technical standpoint (you will see that as your read this JD)...but those social fit characteristics are really important as well. Here are some of 'em: • This one is for my favorite law firm. Yep, there is such a thing... I have worked with them quite a bit over the past few years, so I know these guys pretty well. Sometimes, people will think that all law firms are the same. Starchy, stiff upper lip, and kinda dull. These guys are definitely not starchy or so ego-filled that you can't get anything done without an act of Congress. So, if you function well in an environment where - yes - they are professional, but also one where they focus on actually getting stuff done, you will do just fine here., • There is a lack of micro-management here. But, here's the caveat. It means you don't need to be micro-managed. If you are the kind of person that does their best work wherever they go, and is thinking ahead as they work (in other words, if you go this way, you will run into a wall...so, you don't run into the wall and go a different direction), you will do just fine here as well. This role is being done onsite in downtown Chicago. We are really only looking to work with candidates that are already in the greater Chicago metro area for this role. In addition, I can only work with US Citizens of Green Card Holders for this one. So, if you are an H1, OPT, EAD, H4, F1, STEM Visa holder, I won't be able to work with you, unfortunately. This role is permanent and fully benefitted (life, dental, health, all the goodies) For this role, we are seeking - as you might have guessed from the title - a SharePoint Developer with .net development experience. This role is for someone who looks at their work, not as tasks, but from a wider angle lens. In other words, you will be working on everything from requirements gathering, documentation, process flow diagramming, dev, test and deployment. Along that process of seeing that 'wide angle lens', you will - inevitably - find that what is asked for isn't really going to solve the issue. So, if you have been that person that challenges assumptions, and asks clarifying questions, we will be on the right track. You will, primarily, work with SharePoint Online and Microsoft’s development stack, including .Net, ASP.Net, VB.Net, SPFx, MVVM and MVC Patterns, and C#. You will be working on a mix of projects, including dev work from scratch, working off of apps that already exist, 3rd party integration work, and senior level support of your code. The teams you will be working with are risk & compliance, marketing and administration within the firm. You will be a part of a 9 person team. All of these team members are, primarily, .net architects and developers. You will be focusing, primarily, on SharePoint development in this role and working alongside your other teammates. Here are some of the main responsibilities (this is not an exhaustive list...most people reading this know by now that you will be working with a team...and 'other projects as assigned' are a standard with just about any dev role): • Design, developer, validate & implement SharePoint and .net apps to solve complex challenges using SharePoint Online., • Maintain, enhance and refactor existing SharePoint and .net based applications to optimize the existing application portfolio, while staying up to date with other dependencies., • Manage data integration between SharePoint Online applications and 3rd party solutions using fun stuff like Stored Procedures, SSIS, DTS, SharePoint Lists and other data integration middleware. Here is what we are seeking • At least 7 years of SharePoint development experience. This 7 years of experience will need to include experience with ASP.Net, VB.Net, C#, SPFx, MVVM, and MVC patterns., • At least 2 projects in your background where you were the only SP or .net developer working on that project from start to finish., • At least 6 years of experience with Sql Server 2019 or newer. This experience will need to include SSRS and SSIS., • At least 5 years of experience with Azure DevOps or TFS. This should include build/release engineering, pipeline, management for software web applications, test manager and test automation., • Experience with IIS administration would be great to see., • Experience with IntApp Integrate (or similar tools like Biztalk, MQ, Oracle Fusion, etc) would be great to see., • Experience with PowerAutomate, K2 BlackPearl, or IntApp Flow would be great to see., • Experience with HTML, CSS, XML, JavaScript, VB Script, Python, TCL, or Pearl would be great to see.

Resource 1 is seeking a Senior AI Engineer for a long-term, remote contract with our client in the Healthcare industry. Initial contract duration is 6 months, with expected extensions. This can be done 100% remotely from anywhere in the US. Selected individual will be brought in to help develop and deliver next-generation AI solutions across the healthcare enterprise. This role is hands-on and ideal for an engineer experienced in building GenAI and multi-agent systems using modern AI frameworks and Google Cloud Platform (GCP). Will collaborate closely with other engineers to design, build, test, and optimize AI capabilities within a scalable production environment. Key Responsibilities: • Develop and enhance enterprise-scale multi-agent systems leveraging LLMs and autonomous agent frameworks, using tools such as Google ADK, Agentspace, MCP, RAG, and A2A orchestration., • Contribute to the design and implementation of RAG pipelines using BigQuery and Vertex AI for knowledge grounding and factual response accuracy., • Implement and tune agent reasoning workflows including orchestration, grounding, decision-making, and multi-step reasoning., • Build and support distributed training workflows, online inference systems, and low-latency serving architectures leveraging Google Cloud services., • Develop secure and scalable AI components including reusable orchestration layers, connectors, and observability hooks., • Participate in developing agent governance and compliance frameworks aligned with enterprise standards., • Translate business features and requirements into technical implementation tasks and contribute to solution design discussions., • Support deployment pipelines, operational monitoring, troubleshooting, and optimization of production AI systems. Required Qualifications: • Degree in Computer Science, AI/ML, or related technical field., • Hands-on experience in Generative AI and agentic AI development., • 4–5 years of total experience in AI/ML engineering or applied machine learning., • Experience building and deploying production AI/ML systems., • Solid understanding of modern model architectures including transformers, embeddings, and prompt engineering concepts., • Hands-on expertise with Vertex AI (training, pipelines, deployment, orchestration, and monitoring) and Google Cloud native AI services., • Experience with one or more agent frameworks (i.e. Google ADK/ Agentspace, LangChain/ LangGraph, LlamaIndex, CrewAI or AutoGen), • Python and LLM integration, including MCP and A2A orchestration., • Experience with Kubernetes, Cloud Run, Dataflow or Pub/Sub. Preferred Qualifications: • Experience with AI observability, responsible AI frameworks, and model monitoring tools (Vertex AI Monitoring, BigQuery logging, Looker dashboards)., • Experience with multi-modal models and/or advanced optimization strategies., • Contributions to open-source AI tooling or published applied work.

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 16,000 healthcare professionals and team members at more than 1,200 health and wellness offices across 46 states in four distinct categories: Dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet clinics. Each brand has access to a deep community of experts, tools, and resources to grow its practices and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. Job Overview: We are looking for a passionate and detail-oriented Software Quality Assurance Test Engineer to join our team. As a Test engineer, you will play a crucial role in ensuring the quality of our products by designing, developing, and maintaining automated tests, and working closely with cross-functional teams to deliver high-quality software. You will be involved in the complete software development lifecycle, helping us build reliable, scalable, and efficient applications. Key Responsibilities: • Test Automation Development: Design, implement, and maintain automated tests/framework for API-based applications using Python/Java/.net and deploy those tests as part of the build. Strong testing experience using SQL Server and performance testing, • Test Planning and Execution: Develop test plans, test cases, and test strategies for new and existing features. Execute manual and automated tests, ensuring the software meets both functional and non-functional requirements., • Collaboration: Work closely with developers, product managers, and other stakeholders to understand features and ensure testability. Collaborate with cross-functional teams to define, design, and ship new features while ensuring the highest quality., • Continuous Integration: Implement and maintain automated test suites in a continuous integration/continuous delivery (CI/CD) pipeline to ensure regular, consistent testing., • Performance Testing: Develop and execute performance and load tests to ensure that the product performs well under various conditions., • Defect Management: Identify, report, and track defects through resolution. Work with development teams to ensure timely resolution and retesting of bugs., • Monitoring: Monitor deployments. Work closely with SREs to collect this data and how the application works in “the real world”., • Best Practices: Promote quality engineering practices, including test-driven development (TDD), automation best practices and tools. Required Skills and Qualifications: • Strong experience with programming languages such as Java, Python, JavaScript, etc., • Strong experience testing against relational database (SQL, PostgreSql, SQL Server, DBeaver, Azure studio, MSSMS, etc.), • Experience with test automation frameworks (e.g., Pytest, Postman, Requests library, Playwright, TestNG, JUnit, Cypress, Appium)., • Knowledge of API testing tools (e.g., Postman, RestAssured, SoapUI)., • Familiarity with continuous integration tools like Jenkins, GitLab, or similar., • Available on an as-needed basis for non-working hours to support the deployment, • Testing Knowledge:, • Strong understanding of software testing methodologies, including unit, integration, functional, regression, and performance testing., • Experience in developing and maintaining test cases and automated test scripts., • Strong experience in SQL Server and API testing and automation., • Problem-Solving and Analytical Skills: Strong troubleshooting and analytical skills to find root causes of issues., • Collaboration: Ability to work in an agile team, collaborating with developers, business analysts, and other stakeholders., • Communication: Excellent verbal and written communication skills, with the ability to clearly document test results and defects. Preferred Qualifications: • 5+ years of experience in software quality assurance and testing., • Experience with cloud-based platforms (e.g., GCP,AWS, Azure)., • Familiarity with test management tools like Jira, Zephyr, etc., • Knowledge of performance testing tools (e.g., JMeter, LoadRunner)., • Experience in SQL and performance testing, • Familiarity with containerization and virtualization (e.g., Docker, Kubernetes)., • Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience)., • Annual pay range: $80,000 - 110,000/year, • A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match, • This role is onsite in our Fulton Market office 4 days/week

Immediate need for a talented Performance Attribution Reporting Analyst. This is a 06 Months Contract opportunity with long-term potential and is located in Chicago IL, New York City NY (Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-94465 Pay Range: $35 - $40/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: • Delivers composite data requests from key stakeholders and is responsible for maintaining compliant presentations for various business units as well as prospective clients and current clients., • Performs analysis related to cash flow tracking and risk exposure for portfolio products., • Analyzes data related to quarterly oversight meetings, statistical analysis, outlier analysis, assets under management (AUM) reporting, and peer universe rankings., • Ensures the accuracy of investment-related composite data., • Analyzes performance criteria and risk of funds to uncover potential problems., • Participates in the annual verification process across the various affiliates., • Prepares performance reports for required corporate governance and oversight committee meetings., • Maintains and develops policies and methodologies, in compliance with the Global Investment Performance Standards (GIPS) standards. Key Requirements and Technology Experience: • University (Degree) Preferred, • Work Experience, • Experience using Eagle PACE and/or FactSet performance calculation and reporting capabilities, • Experience utilizing SQL, R, or Python preferred, • CIPM Preferred, • CFA Preferred, • 2 Years Required; 3 Years Preferred Our client is a leading Insurance Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy ___.

A prestigious company is looking for a Quantitative Model Developer. This role will focus on quantitative model developer, quantitative risk management, model testing, financial products and derivatives. Responsibilities • Develop models for pricing, margin risking and stress testing of financial products and derivatives, • Design, implement and maintain model prototypes, model library and model testing tools using best industry practices and innovations, • Implement new models into model library and enhance existing models, • Write and review documentations (whitepapers) for the models, model prototypes and model implementation, • Perform model performance testing, including portfolio back-testing using historical data, • Review implementation of models and algorithms focusing on requirement verification, coding, and testing quality, • Conduct comprehensive quality assurance testing on model library including constructions of test cases, automation of model unit testing and creations of reference models if needed, • Master’s degree/PhD or equivalent in a quantitative field such as computer science, mathematics, physics, finance/financial engineering, • 7+ years of experience in quantitative areas in finance and/or development experience in model implementation and testing, • Financial mathematics (derivatives pricing models, stochastic calculus, statistics and probability theory, advanced linear algebra), • Econometrics, data analysis (e.g., time series analysis, GARCH, fat-tailed distributions, copula, etc.) and machine learning techniques, • Numerical methods and optimization; Monte Carlo simulation and finite difference techniques, • Risk management methods (value-at-risk, expected shortfall, stress testing, backtesting, scenario analysis), • Financial products knowledge: good understanding of markets and financial derivatives in equities, interest rate, and commodity products, • Strong programing skills. Able to read and/or write code using a programming language (e.g., Java, C++, Python, R, Scala, etc.) in a collaborative software development setting: Model development and prototyping requires advanced development skills in Python and database manipulation, • Proficiency in database technology, query languages (such as SQL), and efficient storage and serialization protocols, • For model development and prototyping role: proficiency in a scripting language such as Python, R or MATLAB, • Experience with numerical libraries and/or scientific computing including numerical optimizers (e.g. NAG, MATLAB), • Experience with automated testing frameworks (e.g., Junit, TestNG, PyTest, etc.)

Principal, Solution Architecture What You'll Do The Technology Engineering Principal Solution Architect is responsible for providing technical expertise and architectural solutions for Microsoft 365 ecosystem, with focus on identity management and optimization of Microsoft cloud services. Primary Duties and Responsibilities: To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. Design and implement vendor-neutral identity and access management architecture that integrates with various enterprise systems Develop comprehensive IAM strategies leveraging best practices across multiple platforms while maintaining strong expertise in Microsoft identity solutions Analyze and communicate industry trends in identity management technologies that benefit OCC to IT management Drive short- and long-term architecture strategy for enterprise identity services, including integration with Microsoft 365 services, Entra ID, and other identity providers Conduct end-to-end technical plan design for identity management solutions across multiple platforms Design and participate in proof of concepts to enable new identity services that work across heterogeneous environments Develop architectural designs for implementation of enterprise identity solutions with emphasis on interoperability Perform impact analysis and design modifications to existing systems for implementation of new identity services Establish identity management standards and ensure compatibility and integration across the enterprise ecosystem Ensure teams maintain and execute organizational policies, procedures and controls, configuration management, and release management Work with cross-functional teams to train and transition to optimized identity management solutions Optimize, document, and support identity management components across platforms Take ownership of identity management discipline and manage all Level 2 related issues in the enterprise ecosystem Evaluate new tools, technologies, and processes to improve efficiency of identity management systems Qualifications: The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions. Experience managing enterprise identity solutions with strong Microsoft 365 background Deep expertise in identity management solutions including Microsoft Entra ID (formerly Azure AD) and other major IAM platforms Experience with cloud infrastructure services including virtual desktop solutions Strong knowledge of information protection and rights management across platforms Good understanding of how different identity services interact in an enterprise environment Ability to investigate and perform Root Cause Analysis on reported issues and suggest workarounds before implementing permanent fixes Act as a subject matter expert for troubleshooting and resolving complex identity problems across platforms Partner effectively with different infrastructure and development teams Work independently, prioritize existing projects, and proactively determine areas requiring additional attention Collaborate with infrastructure teams, product managers, development teams and architects to provide platform-related knowledge Technical Skills: Strong expertise in enterprise identity management architectures and implementations Deep knowledge of Microsoft Entra ID, Azure AD Connect, and hybrid identity solutions Experience with federation technologies and cross-platform identity integration Knowledge of information protection and rights management across solutions Experience with cloud infrastructure services including virtual desktop solutions Experience with automation and scripting for identity management (PowerShell, Python, etc.) Working knowledge of identity administration tools across platforms Experience with API-based identity management Knowledge of modern authentication protocols (SAML, OAuth, OIDC, etc.) Experience with enterprise licensing models and optimization strategies Education and/or Experience: 10+ years of experience in identity management technologies with strong focus on Microsoft identity solutions and cross-platform integration Certificates or Licenses: Microsoft Certified: Identity and Access Administrator Associate Microsoft Certified: Azure Solutions Architect Expert or Microsoft 365 Certified: Enterprise Administrator Expert Additional industry certifications such as Certified Identity Management Professional (CIMP) or IDPro certification highly valued ITIL Certification(s)

Title- Splunk Engineer Location- Chicago, IL Must Have Skills: • at least 3–5 years of hands-on experience with Splunk development, including dashboard creation, query optimization, and alerting., • Strong proficiency in SPL (Search Processing Language) and familiarity with Splunk Enterprise Security or ITSI., • Experience integrating data from various sources (e.g., syslog, APIs, cloud services) into Splunk., • Knowledge of scripting languages such as Python, Bash, or PowerShell for data manipulation and automation., • Familiarity with log management and observability tools beyond Splunk (e.g., ELK stack, Grafana, Prometheus)., • Understanding of security and compliance requirements in logging and monitoring., • Ability to work independently and collaboratively in a fast-paced, agile environment., • Strong analytical and problem-solving skills with attention to detail., • Excellent communication skills to translate technical findings into business-relevant insights." What You'll Do - As a Splunk Developer, you will play a key role in designing, developing, and maintaining Splunk dashboards, alerts, and reports that provide actionable insights across our systems and applications. You’ll collaborate with cross-functional teams to ensure data is collected, parsed, and visualized effectively to support operational and security objectives. Key Responsibilities: • Develop and maintain Splunk dashboards, queries, and alerts to monitor system performance, application health, and security events., • Work with stakeholders to gather requirements and translate them into effective Splunk visualizations and reports., • Optimize and troubleshoot existing Splunk configurations to improve performance and usability., • Integrate data sources into Splunk using forwarders, APIs, and custom scripts., • Support incident response and root cause analysis by providing relevant Splunk data and insights., • Collaborate with DevOps, Security, and Infrastructure teams to ensure comprehensive logging and monitoring coverage., • Stay current with Splunk best practices, new features, and industry trends to continuously improve our observability capabilities. Preferred Qualifications - • at least 4–5 years of hands-on experience with Splunk development, including dashboard creation, query optimization, and alerting., • Strong proficiency in SPL (Search Processing Language) and familiarity with Splunk Enterprise Security or ITSI., • Experience integrating data from various sources (e.g., syslog, APIs, cloud services) into Splunk., • Knowledge of scripting languages such as Python, Bash, or PowerShell for data manipulation and automation., • Familiarity with log management and observability tools beyond Splunk (e.g., ELK stack, Grafana, Prometheus)., • Understanding of security and compliance requirements in logging and monitoring., • Ability to work independently and collaboratively in a fast-paced, agile environment., • Strong analytical and problem-solving skills with attention to detail., • Excellent communication skills to translate technical findings into business-relevant insights.

Senior Backend Developer - Python $120,000 - $190,000 Chicago, IL Hybrid Overview We’re looking for a seasoned backend engineer to help design and build the core systems behind our workspace platform. You’ll take ownership of designing efficient services and APIs, working closely with product and engineering peers to deliver reliable, scalable systems. This role is ideal for someone who enjoys writing clean, performant code and shaping the technical foundation of a fast-moving product. What You’ll Be Doing • Partner with product and technical teams to define and deliver backend capabilities., • Design and implement service components and APIs that handle complex business logic., • Work primarily in Python, using frameworks such as Flask to develop and extend our service layer., • Build integrations and data flows on top of our cloud infrastructure (AWS)., • Participate in architectural planning, technical reviews, and process improvements across the team. About You • 6+ years of professional software engineering experience, including substantial time spent on backend systems., • Expert-level fluency in Python, with hands-on experience using Flask to build production-grade APIs and services., • Solid understanding of AWS fundamentals and modern cloud-based design patterns., • Comfortable designing for performance, scalability, and maintainability., • Pragmatic problem-solver with strong technical judgment and attention to detail., • Experience in enterprise SaaS or insurance platforms is a plus. Nice to Have: • Experience working at companies with small teams.

Job Summary: We are seeking a highly skilled and strategic Senior Data Solution Architect to join our IT Enterprise Data Warehouse team. This role is responsible for designing and implementing scalable, secure, and high-performing data solutions that bridge business needs with technical execution. Design solutions for provisioning data to our cloud data platform using ingestion, transformation, and semantic layer techniques. Additionally, this position provides technical thought leadership and guidance to ensure that data platforms and pipelines effectively support ODS, analytics, reporting, and AI initiatives across the organization. Key Responsibilities: Architecture & Design: • Design end-to-end data architecture solutions including operational data stores, data warehouses, and real-time data pipelines., • Define standards and best practices for data modeling, integration, and governance., • Evaluate and recommend tools, platforms, and frameworks for data management and analytics. Collaboration & Leadership: • Partner with business stakeholders, data engineers, data analysts, and other IT teams to translate business requirements into technical solutions., • Lead architecture reviews and provide technical guidance to development teams., • Advocate for data quality, security, and compliance across all data initiatives. Implementation & Optimization • Oversee the implementation of data solutions, ensuring scalability, performance, and reliability., • Optimize data workflows and storage strategies for cost and performance efficiency., • Monitor and troubleshoot data systems, ensuring high availability and integrity. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field., • 7+ years of experience in data architecture, data engineering, or related roles., • Strong expertise in cloud platforms (e.g., Azure, AWS, GCP) and modern data stack tools (e.g., Snowflake, Databricks)., • Proficiency in SQL, Python, and data modeling techniques (e.g. Data Vault 2.0), • Experience with ETL/ELT tools, APIs, and real-time streaming technologies (e.g., dbt, Coalesce, SSIS, Datastage, Kafka, Spark)., • Familiarity with data governance, security, and compliance frameworks Preferred Qualifications: • Certifications in cloud architecture or data engineering (e.g., SnowPro Advanced: Architect)., • Strong communication and stakeholder management skills. Why Join Us? • Work on cutting-edge data platforms and technologies., • Collaborate with cross-functional teams to drive data-driven decision-making., • Be part of a culture that values innovation, continuous learning, and impact. This is a full-time, W2 position with Hub Group – We are NOT able to provide sponsorship at this time Salary: $135,000 – $175,000/year base salary + bonus eligibility This is an estimated range based on the circumstances at the time of posting, however, may change based on a combination of factors, including but not limited to skills, experience, education, market factors, geographical location, budget, and demand Benefits We offer a comprehensive benefits plan including: • Medical, • Dental, • Vision, • Flexible Spending Account (FSA), • Employee Assistance Program (EAP), • Life & AD&D Insurance, • Disability, • Paid Time Off, • Paid Holidays BEWARE OF FRAUD! Hub Group has become aware of online recruiting related scams in which individuals who are not affiliated with or authorized by Hub Group are using Hub Group’s name in fraudulent emails, job postings, or social media messages. In light of these scams, please bear the following in mind • Hub Group will never solicit money or credit card information in connection with a Hub Group job application., • Hub Group does not communicate with candidates via online chatrooms such as Signal or Discord using email accounts such as Gmail or Hotmail. About Us Hub Group is the premier, customer-centric supply chain company offering comprehensive transportation and logistics management solutions. Keeping our customers’ needs in focus, Hub Group designs, continually optimizes and applies industry-leading technology to our customers’ supply chains for better service, greater efficiency and total visibility. As an award-winning, publicly traded company (NASDAQ: HUBG) with $4 billion in revenue, our 6,000 employees and drivers across the globe are always in pursuit of "The Way Ahead" - a commitment to service, integrity and innovation. We believe the way you do something is just as important as what you do. For more information, visit

Lead Data Science Analyst Location: Oak Brook, IL - 3 days onsite per week Salary: $100-$160K Position Summary: We are seeking a Lead Data Science Analyst to drive business impact by translating data and analytics into actionable insights. This is a highly visible, hands-on role that partners closely with business units to influence strategy, optimize performance, and guide decision-making. The role requires strong technical expertise in analytics and experimentation paired with solid business acumen. Responsibilities: • Partner with business leaders to understand strategy, initiatives, and KPIs, ensuring shared accountability for outcomes., • Identify trends, opportunities, and risks within business operations through advanced analytics., • Generate hypotheses to improve results and validate them with structured testing and rigorous data analysis., • Deliver clear, executive-level insights and recommendations via reports, dashboards, and presentations., • Analyze customer journeys, funnel conversion, and cohort behavior to uncover growth opportunities., • Use SQL (and/or Python) to extract, manipulate, and analyze large datasets., • Build dashboards and data visualizations (Power BI, Tableau) to communicate insights across teams., • Ensure accuracy and integrity in all analytics, reporting, and experimentation., • Promote a culture of data-driven decision-making and effective data collection practices. Requirements • Bachelor’s degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or another related field with significant analytical coursework, • 3+ years of experience in an analytics role, preferably in marketing and growth analytics, • 3+ years working with SQL or Python, • 2+ years of hands-on experience designing and analyzing large scale A/B tests and interpreting results in a business context, • 2+ years of experience building dashboards and reports in Power BI, Tableau, or other visualization tools Bonus points • Experience with Databricks, • Experience with Azure (AWS, GCP okay too), • Experience with IoT, SaaS, and/or intelligent consumer products & services, • Experience with Salesforce, SAP, and CDP platforms such as Tealium, • Experience setting up temporary, easy-to-understand data views in Azure that allow business teams to run their own reports and analysis without needing IT help

Senior Software Engineer – Build Next-Gen Conversational Platforms 📍 Location: Chicago, IL (Hybrid – 3 days onsite) 💰 Salary: $230K base + 15% bonus + equity About the Opportunity Harnham is working with a fast-growing AI technology company that is building a next-generation agentic voice platform for enterprise-scale customer engagement. This organization partners with Fortune 50 businesses across healthcare, finance, and retail and is backed by leading investors with over $25M in funding. They are scaling rapidly and seeking an experienced Senior Software Engineer to join their engineering team and help shape the future of conversational AI. The Role You’ll design and build core platform components, working on backend services and APIs that power real-time voice applications. This role requires strong CS fundamentals, experience in scalable architectures, and collaboration with ML engineers and product teams. Key Responsibilities • Develop backend services and APIs for high-concurrency, real-time applications, • Design scalable, secure architecture for cloud-based systems, • Work across backend and some frontend layers (full-stack experience is a plus), • Implement solutions in AWS ecosystems (EKS, Lambda, S3), • Optimize data models and pipelines using Postgres, • Collaborate with ML engineers and DevOps to integrate AI models into production, • Mentor junior engineers and establish best practices in coding, testing, and CI/CD What We’re Looking For • 6–7+ years of software engineering experience, • Strong CS fundamentals (data structures, algorithms, architecture), • Experience with AWS services and containerized environments (Docker/Kubernetes), • Proficiency in backend development (Java, Python, or similar), • Exposure to frontend frameworks is a plus, • Familiarity with distributed systems and high-performance architectures Why Apply? • Competitive compensation + bonus + equity, • Work on industry-disrupting AI solutions, • Collaborative culture with real impact, • Relocation support and hybrid flexibility

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. Job Description: As part of our continued investment in AI-driven innovation, we are looking for a Lead AI Engineer to join our growing AI team. This is a hands-on role delivering innovative solutions for the healthcare enterprise. The ideal candidate will bring deep expertise in modern AI systems, multi-agent systems & frameworks, LLM-based architecture, and software engineering. Key Responsibilities: • Architect and develop enterprise-scale multi-agent systems leveraging LLMs and autonomous agent frameworks using Google ADK, Agentspace, MCP, RAG, and A2A orchestration., • Design and implement RAG pipelines using BigQuery and Vertex AI Engine for knowledge grounding and factually accurate responses., • Optimize agents for orchestration, knowledge grounding, multi-step reasoning, and decision-making., • Design and implement distributed training workflows, online inference systems, and low latency serving architectures optimized for real-world performance, using Google cloud-native services., • Engineer scalable, secure, compliant and production-grade AI fabric and AI agent workflows using Vertex AI and modern cloud-native technologies., • Create reusable agent orchestration layers, observability hooks, and governance frameworks that accelerate Agentic AI adoption across TAG brands., • Partner with cross-functional stakeholders in translating business requirements into technical specifications., • Own the full AI development lifecycle – from data collection and implementation to deployment and monitoring., • Implement intelligent observability and automation strategies to ensure AI system reliability and performance at scale. Qualifications & Experience: • Master’s degree in AI/ML, Computer Science, or related technical field., • 2+ years of experience in Generative AI and Agentic AI engineering., • 8+ years of experience in AI/ML engineering, software engineering, or platform architecture., • Proven track record of building and deploying production-grade AI/ML systems at scale., • Deep understanding of modern AI model architectures (e.g., transformers, diffusion models) and system design., • Strong hands-on expertise with Vertex AI (including model training, pipelines, orchestration, deployment, and monitoring) and Google’s Agentic AI stack., • Hands-on with one or more of these agent orchestration frameworks: Google ADK/Agentspace, LangChain, LangGraph, LlamaIndex, CrewAI or AutoGen., • Proficiency in Python, LLM integration workflows, MCP (Model Context Protocol) for tool integration and A2A (Agent-to-Agent) orchestration for multi-agent workflows., • Expertise in distributed training, online inference, and low latency serving architectures., • Experience with Kubernetes, Cloud Run, and Dataflow/PubSub for scalable deployment. Preferred Qualifications: • Experience with AI governance frameworks, responsible AI practices, and observability (Vertex AI Model Monitoring, BigQuery logging, Looker dashboards)., • Contributions to open-source AI projects or publications in leading AI/ML conferences., • Experience with multi-modal models and advanced optimization strategies & frameworks. Additional Information: • This role is onsite 4 days/week in our Fulton Market office (Chicago, IL)., • Competitive benefits package including paid time off, health, dental, vision, and 401(k) savings plan with match. Annual Salary Range: $170,000-$200,000/year, with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match. If you are an applicant residing in California, please view our privacy policy here:

HYBRID ROLE The best way to upgrade your holiday season is with a job that pays more, has more work from home flexibility, and respects your work/life balance. The salary range for this position is $105,000-$115,000 plus bonus, and it comes with benefits, including medical, vision, dental, life, and disability insurance. To apply to this hybrid Senior IT Auditor role please send your resume to Job Description Experience with: • IT audit methodologies and developing necessary audit deliverables, including process flows, work programs, audit reports, and control summaries., • Commonly used internal control frameworks, including COBIT, ISO 27001, NIST CSF, CIS, ITIL, etc., • Sarbanes-Oxley Act provisions and methodologies for achieving compliance, in particular the technology implications and requirements., • The latest trends and developments in data and technology, including high-growth topics of cybersecurity, cloud, data governance, privacy, analytics, enterprise applications (e.g., SAP, Oracle, Workday, Salesforce, Microsoft Dynamics etc.), disaster recovery, systems development methodologies etc., • Analytics and technology enablement (automation, AI/ML, intelligent audit tools, and cognitive technologies)., • Supervisory experience of teams including mentoring, oversight and review of work, coordination across teams, and understanding how to motivate., • Bachelor’s degree in a relevant discipline (e.g., Accounting, Finance, Information Technology, Cybersecurity, or business-related field)., • 2+ years working in internal audit, consulting, assurance services, risk and control programs., • Proficiency in PowerBI, Tableau, Alteryx, SQL, Python, and/or RPA Solutions a plus., • Professional certification such as CIA, CRMA, CISA, CISM, CISSP, or similar preferred. To apply to this hybrid Senior IT Auditor role please send your resume to

*We are unable to sponsor for this permanent full-time role Prestigious Financial Company is currently seeking a Sr. Site Reliability Engineer. Candidate will provide support for the availability and performance of next generation platform and will enhance system reliability and developer productivity through automation. Candidate will provide guidance to development, platform teams, in the areas of cloud technologies, application profiling and monitoring, logging, metrics collection and analysis. Responsibilities: • Collaborate with development, operations and infrastructure teams to ensure availability of services, and to work through implementation issues, • Develop automation for incident response and to prevent problem recurrence, • Create and enhance runbooks to respond to service outages or degradations, • Assess the production readiness of services, • Define and track operational metrics for production performance, reliability, scalability and availability, • Architect, develop and maintain shared services and tools to improve reliability and reduce toil across the organization, • Contribute to the team’s continuous improvement through research, retrospectives, discussion groups and code reviews, • Influences timelines and expectations amongst the team, • [Required] Experience with maintaining and troubleshooting large-scale distributed systems, • [Required] Experience with Agile / Scrum methodology, • [Required] Able to succeed in fast-paced environment with frequent changes, • [Required] Comfortable communicating with both technical and non-technical audiences, • [Required] Strong documentation skills, • [Required] Analytical problem-solving approach, • [Required] Self-starter – takes the initiative to research, learn and deliver. Anticipates the play, • [Required] Experience managing infrastructure in public cloud environments like AWS (preferred), Azure or Google Cloud Platform, • [Required] Experience with AIOps and predictive analysis for anomaly detection, forecasting system capacity using monitoring and alerting tools like Splunk, AppDynamics, Datadog, StackDriver, Sysdig, Prometheus or Grafana, • [Required] Programming/scripting experience in languages like Java, Bash, Python or Go, • [Required] Experience with distributed messaging systems like Kafka, RabbitMQ, or ActiveMQ, • [Required] Experience with container orchestration systems like Kubernetes, Mesos, Docker Swarm or Rancher, • [Required] Experience with using Continuous Integration and Continuous Delivery (CI/CD) tools like Jenkins, Travis, Harness, Appveyor, CodeBuild or CodePipeline, • [Required] Familiarity with leveraging large language models (LLMs) to automate and optimize SRE workflows. This may include using AI-powered tools to perform tasks such as, writing scripts, summarizing incident reports, or even creating and maintaining AI workloads., • [Required] Familiarity with leveraging large language models (LLMs) to automate and optimize SRE workflows. This may include using AI-powered tools to perform tasks such as, writing scripts, summarizing incident reports, data analysis or even creating and maintaining AI workloads., • [Required] Bachelor’s or Master’s Degrees in Computer Science, Information Systems or other related field, or equivalent work experience, • [Required] Minimum of 4+ years of experience in Site Reliability Engineering / DevOps

Prestigious Financial Company is currently seeking a Principal Internal Audit Financial Risk Modeling SME. Candidate will provide subject matter expertise and strong execution skills to the Internal Audit, Financial Risk and Modeling Audit Team, executing multiple concurrent projects such as model risk assessments, model validation monitoring, and detailed model testing supporting internal audits and validations. Responsibilities: Support the implementation of strategic plans and advise on the Internal Audit procedures and guidelines. Assess and opine on the implementation and maintenance of its financial risk management framework, confirming alignment with organizational objectives and regulatory requirements. Coordinate the risk assessment activities with the Quantitative Risk Management (first-line) and Model Risk Management (second-line) teams. Develop and execute assessments related to Prefunded Resources (e.g., margin requirements, clearing fund contributions, stress testing of resource sufficiency, and liquidity risk monitoring). Provide technical expertise and guidance to the IA team in executing their responsibilities. Confirm proper scope and resource allocation to deliver on schedule. Leverage advanced mathematical and statistical modeling and analysis techniques to assess model design and performance (e.g., model methodologies, assumptions, parameter calibration, input data quality, and model outputs). Maintain the Internal Audit quality standards across all deliverables and collaborate with stakeholders to ensure that financial and operational risks are effectively identified, assessed, and managed. Department Oversight Support and maintain IA infrastructure (Policies, Procedures, Standards, Guidance, Audit Universe, Risk Assessments, Co-Sourcing Management, Service Quality, Regulatory Management and Stakeholder Management) in alignment with Regulators, IIA Standards and designation requirements. Contribute to the development of annual budget recommendations supporting the risk-based audit plan. Coordinate with the Operations team and Co-Source relationship to manage staffing needs for plan execution. Leadership Support the design and implementation of strategic initiatives related to audit programs/processes, technology, or other initiatives related to assurance and consultative services for Financial and Model Risk. Plan, execute, and report on risk-based and special request audit assignments. Identify regulatory, operational, and/or strategic risks to the organization and develop recommendations for improvements. Build and maintain effective relationships with business groups and management. Delivery Contribute to the development of risk assessment and comprehensive audit plan. Manage multiple audits and validations simultaneously. Execute audit projects in accordance with the annual audit plan. Confirm audit quality, accuracy of results, and timely delivery. Quality Apply professional principles and standards (e.g., AICPA, IIA GIA, COSO, SR 11-7) in risk management activities and control evaluations. Maintain knowledge of policies, procedures, standards, and supporting technologies in risk identification and mitigation. Stay informed of industry practices, model methodologies, and emerging risks within financial services and propose improvement recommendations. Participate in department-wide activities such as peer reviews of audit deliverables. Qualifications: Strong verbal and written communication skills with the ability to effectively convey complex information to various stakeholders. Proven analytical and critical thinking abilities to address business challenges. Ability to develop and present comprehensive reports and recommendations based on data analysis. Demonstrated capability to manage multiple projects while meeting deadlines. Ability to manage the assessment of quantitative models approaches and tools. Ability to work independently or as part of a team, prioritizing multiple audit assignments to simultaneously complete each in a timely fashion. Technical Skills [Required] Proficiency in Microsoft Office applications. [Required] Strong proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software. [Preferred] Seasoned expertise on understanding and managing financial risks related to financial derivatives portfolios, particularly options on equities. [Preferred] Experience in evaluating the pricing of complex derivatives and performing advanced statistical analysis on underlying risk factors. [Preferred] Experience with reviewing and auditing risk management models for derivatives using methodologies such as Historical VaR, Monte Carlo simulation, TIMS and SPAN. [Preferred] Proficiency in quantitative or statistical tools (e.g., Python, R, MATLAB, SAS) to support model audit and testing procedures. [Preferred] Familiarity with model risk management practices including validation, backtesting, and performance monitoring. Education and/or Experience Minimum of 8 years working in a dynamic business environment Proven track record of implementing and overseeing operational processes and procedures. Experience in developing and maintaining professional relationships with internal and external stakeholders. [Preferred] Industry-specific experience in relevant field (e.g., Financial Services, Technology, or related sectors) [Required] Experience in financial risk model analysis or assessments and stress testing methodology. [Preferred] Master’s degree in finance, economics or a quantitative field possessing strong quantitative, analytical, and problem-solving skills. [Preferred] Experience with assessments or audits of Financial Risk Management or Models. Certificates or Licenses Certification such as Financial Risk Manager (FRM), Certificate in Quantitative Finance (CQF), Chartered Financial Analyst (CFA), Certified Financial Services Auditor (CFSA), Certified Internal Auditor (CIA), Certified Public Accountant (CPA), or equivalent.

Job Title: Technical Artist Type: Full time Who We Are: Disbelief is a game development studio focusing on contracting and consulting services. We’ve worked with both AAA and independent studios to help their projects ship. Notable projects we’ve worked on include Gears of War: Reloaded, Borderlands 4, Minecraft, Tiny Tina’s Wonderlands, Gears Tactics, and Pacific Drive. At Disbelief we value work-life balance, and want to create an alternative to the crunch-culture prevalent in game development. We also believe strongly in investing in our talent and our team. Disbelief is a place to puzzle out the solutions to cutting-edge problems for industry leading projects, but also a place where people can grow their careers and skills as valued members of a stable and close-knit team. Description: Currently, we’re looking for a Technical Artist. This opportunity is for a full-time position in Chicago, IL. Technical Artists at Disbelief are self motivated problem solvers. Our technical artists are equally capable of discussing performance, rendering and gameplay issues with engineers, as they are in critique and creative discussion with the artist and designers. They act as a bridge between the technical and artistic aspects of game development, empowering both programming and art to achieve more than either could on their own. Our Technical Artists work in a variety of areas including scripting for tools and gameplay, modeling, materials, texturing, animation, FX, UI, and writing documentation. At Disbelief we work with leading edge technologies to make them perform at the top of their capabilities, and we take pride in solving problems others can't. We believe a diverse team is a stronger team, and we encourage marginalized candidates to apply. Key Responsibilities • Solve technical problems from an artist’s point of view, • Solve performance problems while championing visual quality standards, • Act as a bridge between art, engineering and gameplay teams, • Continue to explore new software and techniques, including novel solutions, • Prototype new workflows and systems, • Make improvements to existing pipelines as part of a team, • Clearly communicate your work to others, • Estimate the time it takes to complete tasks Skills and Requirements • Degree in Art, Tech Art, or equivalent experience, • Formal training writing code/script, • Excellent communication skills, both verbal and written, • 1+ years in game development, or 3+ in a related industry, • Understanding of real time rendering, • Experience with version control with Perforce, Git, or equivalent, • Portfolio demonstrating: AAA quality technical art ability, gameplay or pipeline scripting, and proficiency in cross disciplinary tasks Location: Chicago, IL Relocation Assistance: Available where applicable Hybrid: Technical Artists are in the office based on project needs, but can sometimes work from home. Some of our projects require access to physical infrastructure. Visa Sponsorship: No. Disbelief does not offer visa sponsorship at the current time. We are an E-Verify employer. Technologies: Our DCC tools vary depending on the project, but will typically involve a combination of Houdini, Blender, 3ds Max, Maya, Substance, Photoshop. Our real-time work often requires knowledge of animation, physics, material and particle systems. Primarily we work with Unreal Engine, but we also work with custom game engines. Scripting in Python, Maxscript, Mel, Javascript, C# and Unreal Blueprint is often required to solve pipeline and workflow problems. Salary: This position has a salary range of $83,000 - $100,000. When making a job offer there are many factors that are taken into consideration at Disbelief. This includes, but is not limited to, experience and skills, comparable jobs in the industry/geographical area, and relocation benefits. Therefore the upper end of the shared salary range is oftentimes dedicated to those who showcase strong performance in the role. To learn more about how salary is determined at Disbelief please visit: Benefits: Please visit to learn about the amazing benefits we offer. Contact: Please submit resume to

Position Summary: We are seeking a Business and Exposure Analyst to join our flood insurance analytics team in Miami. In this role, you will leverage your data analysis expertise and business insight to inform catastrophe modelling, manage exposure data, and support flood underwriting decisions. You will work closely with cross-functional stakeholders – including underwriters, risk modelers, and management – to translate complex data into actionable insights. This position offers a hybrid work schedule (at least 3 days per week in-office) and requires 4–6 years of insurance exposure/CAT modelling analysis. Duties/Responsibilities: • Collect and prepare data: Gather, cleanse, and validate property exposure data (e.g. insured locations, values) to ensure accuracy for catastrophe risk modelling and analysis., • Catastrophe modelling: Run and interpret flood catastrophe models and simulations to estimate potential losses for individual events and entire portfolios. Analyze model outputs to inform portfolio management strategies and reinsurance decisions., • Exposure management: Monitor and manage the company’s flood insurance portfolio exposure, identifying concentrations of risk (by geography, construction type, etc.) and providing recommendations to optimize the portfolio’s risk profile and reshape appetites., • Event analysis: Provide timely analysis and loss estimates during significant flood events (e.g. hurricanes) to support rapid decision-making and internal/external communications. Gather exposure data to inform key stakeholders of potential risk., • Reporting and visualization: Produce regular reports and dashboards on key flood risk metrics, model results, and portfolio performance for stakeholders such as underwriters, actuaries, and senior management. Continued enhancement of metrics and reporting formats., • Underwriting support: Support the flood underwriting team by providing data-driven insights for individual high-value accounts and policy renewals. This includes analyzing flood zone determinations, historical claims data, submission data and modelled loss estimates to assist in risk selection and pricing both algorithmic and analog. Improve sophistication of digital underwriting capabilities., • Stakeholder collaboration: Work closely with underwriters, catastrophe modelling specialists, actuaries, and product managers to understand business needs and develop analytical solutions. Ensure that analytics align with underwriting guidelines and regulatory requirements., • Communication of insights: Translate complex analytical findings into clear, actionable insights and communicate them to both technical and non-technical stakeholders (e.g. underwriting teams, executives), through presentations, reports, and visualizations., • Process improvement: Contribute to the development and enhancement of internal tools, models, and processes (such as GIS mapping tools or data pipeline automation) to improve efficiency in risk analysis and exposure management., • Continuous learning: Stay up-to-date with industry developments in catastrophe modelling, flood risk assessment, and insurance analytics. Proactively apply new insights, data sources, or techniques to improve our analytic capabilities and decision-making. Required Skills/Abilities: • Experience: 4-6 years of professional experience in data analytics, catastrophe risk modeling, insurance analytics, or a related field (mid-level role)., • Education: Bachelor’s degree in Statistics, Data Science, Finance, Environmental Science, Engineering, Business, or a related discipline (Master’s degree or relevant industry certifications are a plus)., • SQL proficiency: Strong skills in SQL for querying databases and manipulating large datasets., • Programming: Hands-on experience with a programming language for data analysis, such as Python or R, to clean data, perform statistical analysis, and automate tasks., • Excel expertise: Advanced Excel skills for data analysis and reporting (e.g. pivot tables, complex formulas; VBA knowledge is a plus)., • GIS and mapping: Familiarity with GIS tools (ArcGIS or QGIS) for spatial data analysis and creating flood risk maps., • Data platforms: Experience working with cloud-based data warehouses or big data platforms (e.g. Snowflake, Databricks) in an AWS environment for data storage and analysis., • Catastrophe modeling knowledge: Understanding of catastrophe modeling and exposure management concepts; experience working with catastrophe risk models or flood hazard data., • Insurance domain expertise: Knowledge of insurance underwriting processes (especially in property or flood insurance) and the ability to support underwriting decisions with analytical insights. Experience in flood insurance or natural catastrophe insurance analytics., • Communication skills: Excellent written and verbal communication skills, with the ability to present complex technical information to non-technical audiences clearly. Strong interpersonal skills for effective collaboration with stakeholders across teams., • Analytical mindset: Strong analytical and problem-solving skills with keen attention to detail, and a naturally curious approach to exploring data for insights and continuous improvement., • Initiative and organization: Self-motivated and proactive, able to manage multiple priorities and projects in a fast-paced environment. Proven ability to work both independently and as part of a team. About Tokio Marine Highland Tokio Marine Highland Insurance Services (TMH) is a leading property and casualty underwriting agency. We offer a broad suite of tailored specialty risk management solutions, including private flood, fine art and lender-placed products. At TMH, it’s all about our clients. Nationwide, our customers rely on our trusted, industry-leading coverages, supported by compliance expertise, superior claims management and the highest caliber of service. Founded in 1962, TMH is a wholly owned company of Tokio Marine Kiln, one of the largest carriers in the Lloyd’s of London insurance market and a member of the Tokio Marine Group. TMH has operating centers in Chicago, Il, Frisco, Texas, Miami, Fla., and South Pasadena, Calif. If you’re looking to advance your career, TMH is the perfect professional home. At TMH, you’ll have a chance to innovate with the world’s leading businesses, put your expertise into action on major projects, and work on game-changing initiatives. You’ll also make long-lasting professional connections through sharing different perspectives, and you’ll be inspired by the best. Tokio Marine Highland, LLC (TMH) is an Equal Opportunity Employer. TMH’s success depends heavily on the effective utilization of qualified people, regardless of their race, ancestry, religion, color, sex, national origin, sexual orientation, gender identity and/or expression, disability, veteran status, or any characteristic protected by law. As a company, we adhere to and promote equal employment opportunities for all. Consistent with the Americans with Disabilities Act (ADA) and applicable state and local laws, it is TMH’s policy to provide reasonable accommodation when requested by qualified individuals with disabilities during the recruitment process, unless such accommodation would cause an undue hardship. To make an accommodation request, please contact .

Lead Forward Deployed Architect (Palantir & Intelligent Automation Focus) Location: Chicago, Illinois – Hybrid Employment Type: Contract-to-Hire (U.S. Citizen or Green Card Required) Role Overview CoSourcing Partners’ AI Staffing and Digital Talent Enablement practice is expanding, and we are seeking three Lead Forward Deployed Architects to serve as hands-on technical authorities for our enterprise AI and data transformation programs. These roles combine deep technical expertise in Palantir Foundry, AI/ML, and cloud-based data ecosystems with client-facing leadership to solve complex integration, scalability, and performance challenges. The ideal candidate operates comfortably at the intersection of business strategy and technical delivery — ensuring every solution is engineered for performance, governance, and measurable business value. Key Responsibilities: • Palantir Delivery Leadership: Design, configure, and optimize Palantir Foundry pipelines, ontologies, and data workflows to unify data and enable decision intelligence., • AI & Automation Solutions: Architect and deploy intelligent automation solutions leveraging Palantir Foundry, UiPath, and Microsoft Power Platform., • Data Engineering: Design, build, and optimize large-scale data pipelines (ETL/ELT, data warehousing, data lakes) ensuring scalability and performance., • Programming & Integration: Develop automation scripts and APIs using Python, SQL, and RESTful architectures for seamless platform interoperability., • Data Governance: Implement AI governance, metadata management, and compliance frameworks ensuring responsible and auditable automation., • Cloud & Data Architecture: Deliver secure, scalable ecosystems integrating Azure, AWS, GCP, Databricks, and Snowflake., • Client Engagement: Partner with business stakeholders to translate strategic requirements into actionable, high-value solutions., • Cross-Functional Collaboration: Work with engineering, compliance, and commercial teams to deliver end-to-end implementations., • Leadership & Enablement: Mentor global delivery teams and conduct user enablement, workshops, and documentation for sustainable adoption. Preferred Qualifications: • Hands-on experience with Palantir Foundry and AIP, including ontology design, pipeline management, and data lineage modeling., • Proven expertise in AI/ML model lifecycle integration and production deployment., • Familiarity with NoSQL databases (e.g., MongoDB, Cassandra)., • Experience with Power BI, Tableau, or similar analytics tools., • Background in regulated industries such as healthcare, financial services, or defense., • Consulting or hybrid client-facing technical delivery experience., • Strong capability in performance and scalability tuning for enterprise systems. Core Competencies • Enterprise AI & Automation Strategy, • Palantir Foundry Architecture & Ontology Design, • Cloud Modernization (Azure, AWS, GCP), • Data Fabric, MDM, and Governance, • Intelligent Automation (UiPath, Power Automate), • GenAI & Agentic AI Integration, • KPI Frameworks & Business Process Optimization, • Cross-Functional Stakeholder Leadership CoSourcing Partners is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other protected status under applicable federal, state, or local laws. We believe in creating a work environment where all employees feel valued, respected, and empowered to contribute to our success. Accommodations are available upon request for applicants with disabilities throughout the hiring process. Join us and be part of a team that values diversity, equity, and inclusion.

Job Description Job Title : Sr. Python Developer Location : Chicago, IL (Hybrid) Duration: 12+ Month Contract MUST HAVE– React, azure devops, fastapi, python developer Job Description: • Design & build production-grade services and APIs (FastAPI / Django / Flask) using clean, well-tested Python., • Architect scalable systems (microservices, event-driven patterns, async I/O, caching) with high availability and failover., • Data & Storage: model schemas; write efficient SQL; integrate with Postgres/MySQL, caching (Redis), • Performance & Reliability: profile (cProfile, py-spy), tune hot paths, apply back-pressure, circuit breakers, retries, and idempotency., • Security & Compliance: enforce authN/Z, secrets management, secure coding, dependency hygiene (SCA), and data protection., • DevOps & Quality: code reviews, automated testing (pytest), static typing (mypy/pyright), linting, and CI/CD best practices., • Cloud & Platform: containerize ; deploy to Kubernetes or serverless (Azure Functions); manage IaC (Terraform)., • Observability: instrument with OpenTelemetry; create actionable dashboards/alerts Minimum Qualifications: • 10+ years of professional software engineering with Python in production., • Deep expertise with at least one Python web framework (FastAPI, Django, or Flask) and modern async programming., • Strong CS fundamentals: algorithms, data structures, and concurrency., • Proven experience designing distributed systems and event-driven architectures., • Solid SQL/ORM experience (SQLAlchemy/Django ORM) and schema design., • Mastery of testing (unit/integration/contract), CI/CD (GitHub /Azure DevOps), and release strategies., • Hands-on with cloud (Azure), containers, Kubernetes, and infrastructure automation., • Excellent communication; ability to lead cross-functional initiatives. Nice To Have: • Security Background: OAuth2/OIDC, Key Vault/Secrets Manager, threat modeling, SDLC governance., • FinTech domain experience., • Front-end familiarity (React) for API-consumer alignment.

Job Summary: Our client is seeking a Marketing Analyst to join their team! This position is located in Chicago, Illinois. Duties: • Develop and execute comprehensive test plans, test cases, and data validation procedures to ensure data accuracy and integrity, • Create and maintain SQL and Python scripts for data validation and audience segmentation testing, • Identify, log, and track defects, ensuring timely resolution and thorough documentation of issues Desired Skills/Experience: • 2+ years of experience in Data QA, with strong expertise in both manual testing and script-based automation, • Hands-on experience writing SQL queries and performing data validations, • Proficiency in Python for automation and testing purposes, • Experience with test automation frameworks and best practices for ensuring data quality and accuracy Benefits: • Medical, Dental, & Vision Insurance Plans, • Employee-Owned Profit Sharing (ESOP), • 401K offered The approximate pay range for this position is between $24.32 and $34.74. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Position Summary: The Business Systems Analyst (BSA) is responsible for managing the WMS, ERP, OMS, including the oversight and resolution of EDI issues. The BSA will lead the coordination and resolution of break/fix issues, maintain project lists, gather detailed business requirements from internal stakeholders, and ensure systems alignment with business objectives. This is a 100% onsite position with no exceptions. Key Responsibilities: • Provide training and guidance to internal staff and end-users on system functionalities and processes., • Act as primary point of contact for all ERP, WMS, OMS, PIM, and EDI-related issues., • Manage and prioritize break/fix incidents, enhancements, system upgrades, and collaborate closely with internal staff and external vendors., • Develop and maintain detailed documentation, including project lists, functional requirements, process flows, and training materials., • Regularly meet with internal stakeholders to identify and document project requirements and enhancement opportunities., • Translate business requirements into technical specifications to facilitate clear communication with technical teams or vendors., • Perform system testing and validation, and provide guidance to end-users for UAT (User Acceptance Testing)., • Proactively monitor system performance and provide recommendations for improvements and upgrades., • Work with internal business and IT staff to plan and execute system upgrades and new implementations., • Provide support during business hours and after hours (weekends included) and act as the primary point of contact for urgent issues. Required Skills & Qualifications: • Bachelor’s degree in Information Systems, Business Administration, or related field., • Minimum 3-5 years of experience in a Business Systems Analyst or similar role., • Experience supporting ERP and WMS systems, ERP and/or AS preferred., • Strong analytical skills with the ability to translate complex business requirements into technical specifications., • Excellent verbal and written communication, interpersonal skills, and stakeholder management., • Proven ability to manage multiple priorities and effectively troubleshoot issues., • Experience managing relationships with external vendors and service providers., • Familiarity with integration tools (middleware platforms like MuleSoft, Boomi, or Informatica)., • Understanding of EDI (Electronic Data Interchange) processes, integrations, and troubleshooting., • Knowledge of reporting and analytics tools such as Power BI. Preferred Qualifications: • Familiarity with warehouse and logistics operations, particularly in the manufacturing or automotive industry., • Experience with SQL and Python required., • Familiarity with on-premises (Veeam) and cloud infrastructure (AWS or Azure)., • Project management certifications (such as PMP or Agile certifications)., • Experience with Microsoft Project, Microsoft Visio, or other similar tools., • ERP/WMS systems management certifications., • ITIL Foundation Certification., • Exposure to Lean, Six Sigma, or continuous improvement methodologies. Compensation: The salary range for this position is $85,000 to $120,000 annually, reflecting the anticipated compensation at the time of posting. Final placement within this range will be determined by several factors, including—but not limited to—education, certifications, relevant experience, skills, and overall business needs. In addition to salary, eligible employees will receive a comprehensive benefits package, which includes paid time off, medical, dental, and vision insurance, life insurance, short- and long-term disability coverage, paid parental leave, and a 401(k) match retirement plan. Company Overview: PowerStop is the leading innovator and market leader in aftermarket automotive brake kits, holding the top share across all major online retail platforms and distinguished by its best-in-class omni-channel operational excellence. The company’s core product portfolio includes complete brake kits—sold through leading eCommerce retailers such as Amazon, RockAuto, and AutoZone—as well as brake components and accessories distributed primarily through traditional warehouse channels. Unlike traditional brake suppliers, PowerStop was born in the digital era, pioneering a category-defining product specifically engineered for the online marketplace: the all-in-one brake kit. Each kit contains every component required for a full brake replacement or performance upgrade, offering consumers unmatched convenience and value. Today, more than 70% of PowerStop’s revenue is generated through online channels. Its leadership position is underpinned by a strong consumer brand, differentiated product offering, and world-class fulfillment capabilities. PowerStop has also built enduring partnerships with warehouse distributors, recognized for its exceptional service, product quality, and industry-leading logistics. With a proven track record of consistent double-digit organic growth over the past decade, PowerStop’s success is driven by its consumer-centric approach, deep market coverage (serving approximately 98% of the vehicle parc), and operational excellence across every segment of the value spectrum. The company continues to build on this foundation through multiple growth levers, including expansion into new product categories, further penetration of the DIFM (“Do It For Me”) and IIFM (“Install It For Me”) markets, and targeted strategic acquisitions. Headquartered in Burr Ridge, Illinois, PowerStop employs more than 550 team members across its corporate and operational facilities. The company operates two major distribution centers: a 230,000-square-foot eCommerce facility in Bedford Park, Illinois, and a 500,000-square-foot facility in Hodgkins, Illinois, designed to serve larger stocking and replenishment orders. Work Environment: This position operates in a professional office environment with occasional time spent in warehouse operations for system-related tasks. Travel: Travel is required between all company locations and vendor sites based on project needs or issue resolution.

Site Reliability Engineer - Market Connectivity & Infrastructure A leading quantitative trading firm managing significant global assets is seeking a skilled Site Reliability Engineer specializing in market connectivity to join their infrastructure team. This role offers the opportunity to architect and maintain mission-critical trading systems that operate across diverse asset classes and global markets in a highly collaborative, results-driven environment. The ideal candidate will design and implement next-generation low-latency trading infrastructure while ensuring optimal system reliability and performance. You'll work closely with trading teams, platform engineers, and operations to deliver scalable solutions that drive competitive advantage in fast-moving financial markets. What you'll do: • Design and implement infrastructure-as-code solutions using modern automation frameworks and deployment pipelines, • Build comprehensive monitoring and alerting systems for market connectivity platforms using tools like Grafana, InfluxDB, and Splunk, • Deploy and optimize containerized applications using Kubernetes while implementing SRE best practices for production environments, • Develop proactive monitoring solutions for latency optimization, system efficiency, and data quality across market access systems, • Partner with development teams on architecture decisions including configuration management, disaster recovery, and capacity planning, • Drive continuous improvement through code reviews, system standardization, and CI/CD pipeline enhancement Your background: • Strong Python and shell scripting experience with production system deployment, • Hands-on experience with market connectivity infrastructure, networking protocols, and Linux system administration, • Proficiency with SQL, data storage technologies, and streaming platforms such as Kafka or similar messaging systems, • Proven track record designing scalable infrastructure solutions with focus on simplicity and reliability, • Experience with monitoring tools, alerting systems, and observability platforms, • Knowledge of containerization, orchestration, and cloud infrastructure preferred, • Strong problem-solving skills and ability to work effectively in fast-paced trading environments This position offers exceptional compensation, accelerated career growth opportunities, and the chance to work on cutting-edge financial technology infrastructure alongside top-tier engineering talent.

Job Title: Azure Cloud Architect, they are looking for hands-on. Location: Chicago, IL (5 days onsite) (Need locals) Job description: The Strategy Architecture team within client Asset Management client is seeking a Cloud Architect with deep expertise in designing developing and migrating enterprise technology products to Azure public cloud This role is part of a high performing fast paced team driving cloud transformation defining cloud architecture patterns and delivering scalable secure solutions that advance client’s technology modernization agenda Key skills required for the role Infrastructure as Code IaC Mastery o Proficiency in Azure CloudFormation and Terraform is essential o Must understand declarative syntax modular design and version control to build reproducible secure environments o IaC enabled automation of infrastructure provisioning and configuration CICD Pipeline Engineering o Strong experience with DevOps tools like Jenkins GitHub Actions Azure Code Pipeline and Code Deploy o Should be able to design and maintain automated pipelines for build test and deployment stages integrating security scans and rollback mechanisms Cloud Security and Compliance o Understand Azure AD RBAC policies and encryption standards o Able to embed security into deployment workflows manage secrets and ensure that infrastructure adheres to organizational and regulatory standards Networking and Cloud Architecture Fundamentals o Knowledge of VPC design subnetting load balancing and security groups o Grasp cloud service models IaaS PaaS SaaS and be able to architect scalable solutions using Azure services Scripting and Automation o Proficiency in Python Bash or PowerShell for scripting tasks API integrations and pipeline automations Roles and Responsibilities Infrastructure as Code IaC Development o Responsible for designing and maintaining infrastructure using IaC tools like Azure CloudFormation and Terraform This includes o Writing reusable modular templates for provisioning cloud resources o Ensuring version control and change tracking via Git or similar tools o Integrating IaC into CICD pipelines for automated deployments CICD Pipeline Design and Automation o Building and maintaining deployment pipelines that support continuous integration and delivery o Automating build test and deployment workflows using tools like Jenkins Azure DevOps or GitHub Actions o Ensuring pipelines are secure scalable and compliant with organizational standards o Supporting rollback strategies and blue green or canary deployments Security and Compliance Integration o Embedding security into every layer of the deployment process o Implementing IAM policies encryption and secure networking practices o Ensuring compliance with internal standards and external o Conducting vulnerability assessments and integrating security scans into pipelines Monitoring Logging and Optimization o Once deployed cloud engineers monitor infrastructure and applications to ensure performance and reliability o Using tools like CloudWatch Azure Monitor or Datadog to track metrics and logs o Identifying bottlenecks and optimizing resource usage o Setting up ing and incident response mechanisms Collaboration and Governance o Work closely with DevOps architecture and security teams to align infrastructure with business goals o Participating in architecture reviews and governance boards o Documenting infrastructure decisions and maintaining operational runbooks o Supporting onboarding and mentoring of team members on cloud best practices The Cloud Architect will also partner closely with application development teams to guide them through the Design Build and Operate stages helping teams prepare for Cloud Foundation Onboarding Security and Release requirements and ensuring readiness for all permit and governance processes. We’re looking for someone with a flexible can do attitude a self starter who takes ownership follows through to the finish line and doesn’t drop the ball or pass the buck. Strong communication collaboration and influencing skills are essential to succeed in this highly cross functional environment.

W2 Only local to IL - Hybrid role (2 days onsite) In-person may require Data Analyst - IT Top 5 Skill sets: • Highly analytical and excel at ambiguity, • Highly experienced with SQL - Extensive experience working with large and complex datasets - we have ~400M rows of data per day., • Strong knowledge of Quantum Metrics, • Independent with minimal supervision - self starter, • We do not get requirements from our users - so this individual will need to be a thought leader and present ideas. Description Overview: • We are seeking a skilled and experienced Data Analyst professional to join our Product Analytics team., • The successful candidate will be responsible for analyzing data sets to identify trends patterns and insights to inform business decisions and ensuring the quality of data analysis., • The ideal candidate should have strong analytical skills a deep understanding of data analytics and data visualization. Key, • Responsibilities:, • Analyze data to identify trends and issues that could impact business operations and propose solutions to mitigate risks, • Ensure data integrity by reviewing data for completeness accuracy and consistency, • Develop and automate large data sets for the purpose of data mining and analysis, • Data mining and analysis for ad hoc projects will include: exploratory data analysis and data visualization., • Understand data and apply available tools to solve evolving business problems Qualifications: - • Bachelor's degree in business computer science or a related field, • Excellent communication skills with the ability to communicate complex data insights to different stakeholders, • 5 years of experience as Data Analyst Business Intelligence Developer or a related analytical role, • Willingness to continue to develop/learn new technical skills in support of new tools/methods, • Highly experienced with SQL and relational databases experience with Python is a plus -, • Proficient with data visualization Power BI Tableau Spotfire Excel...., • Strong analysis data manipulation and problem-solving skills, • Desire to attack complex data sets, • Ability to work independently and manage several simultaneous efforts with a focus on results - Experience with Akamai Quantum Metrics and Dynatrace is a big plus Top 5 Skill sets: • Highly analytical and excel at ambiguity, • Highly experienced with SQL - Extensive experience working with large and complex datasets - we have ~400M rows of data per day., • Strong knowledge of Quantum Metrics, • Independent with minimal supervision - self starter, • We do not get requirements from our users - so this individual will need to be a thought leader and present ideas.

Prestigious Financial Company is currently seeking a Senior Hashicorp PKI Engineer, preferably with some CyberArk experience as well. Candidate will provide 24x7 operational support for the suite of privileged management solutions (e.g., CyberArk, Hashi, PKI), including implementing hot fixes, resolving bugs, troubleshooting issues, performing break-fixes, managing secrets lifecycle, and delivering end-user support. Responsibilities: Maintain robust operational integrity of privileged access management infrastructure throughout its lifecycle (e.g., patching, version control, system upgrades, alignment with Security standards, etc.). Provide organizational subject matter expert on secrets management and privileged access management architecture, establishing and enforcing security as code principles throughout the environment. Develop and implement system enhancements to improve platform user experience and automated integrations, while designing long-term solutions to address operational issues through innovative technologies including artificial intelligence for faster detection and remediation of functional and technical problems. Qualifications: Knowledge of application authentication and authorization systems (i.e., Active Directory, oAuth 2.0, OIDC, AWS IAM, App Role, k8s, LDAPS, Kerberos, Certificate) Working knowledge of the cloud ecosystem and CI/CD deployments with Terraform, Ansible, and Jenkins pipelines. Working knowledge of security architecture design and principles including confidentiality, integrity and availability. Experience in one or more of the following disciplines: security operations, development, engineering, or architecture Experience supporting privileged access management and access controls programs. Professional or personal experience using AI coding agents such as OpenAI Codex, Claude Code, or Gemini CLI. Technical Skills: Expertise in providing operational and engineering support for one or more of the following: CyberArk, HashiCorp Vault, Active Directory Certificate Services (ADCS), HSMs, and Public Key Infrastructure (PKI). Expertise in scripting languages and developing in one or more of the following languages GoLang, Bash, Python, PowerShell, Ansible, and/or Terraform. Knowledge of privileged access management methodologies and techniques for on-prem and Cloud implementation.

Job Description: • Design & build production-grade services and APIs (FastAPI / Django / Flask) using clean, well-tested Python., • Architect scalable systems (microservices, event-driven patterns, async I/O, caching) with high availability and failover., • Data & storage: model schemas; write efficient SQL; integrate with Postgres/MySQL, caching (Redis), • Performance & reliability: profile (cProfile, py-spy), tune hot paths, apply back-pressure, circuit breakers, retries, and idempotency., • Security & compliance: enforce authN/Z, secrets management, secure coding, dependency hygiene (SCA), and data protection., • DevOps & quality: code reviews, automated testing (pytest), static typing (mypy/pyright), linting, and CI/CD best practices., • Cloud & platform: containerize ; deploy to Kubernetes or serverless (Azure Functions); manage IaC (Terraform)., • Observability: instrument with OpenTelemetry; create actionable dashboards/alerts Minimum qualifications • 10+ years of professional software engineering with Python in production., • Deep expertise with at least one Python web framework (FastAPI, Django, or Flask) and modern async programming., • Strong CS fundamentals: algorithms, data structures, and concurrency, • Proven experience designing distributed systems and event-driven architectures., • Solid SQL/ORM experience (SQLAlchemy/Django ORM) and schema design., • Mastery of testing (unit/integration/contract), CI/CD (GitHub /Azure DevOps), and release strategies., • Hands-on with cloud (Azure), containers, Kubernetes, and infrastructure automation., • Excellent communication; ability to lead cross-functional initiatives. Nice to have : • Security background: OAuth2/OIDC, Key Vault/Secrets Manager, threat modeling, SDLC governance., • FinTech domain experience, • Front-end familiarity (React) for API-consumer alignment.

Responsibilities: • Partner with the Executive Director, AI Engineering to help define and execute on the company AI technical roadmap, • Lead and partner on the architecture of scalable systems incorporating LLMs and AI into organizational processes and infrastructure, • Provide technical mentorship to junior engineers on engineering best practices and system design, • Conduct code/architectural reviews ensuring production readiness, safety, and adherence to high security and compliance standards, • Implement testing, evaluation, and monitoring frameworks for AI systems including hallucination detection and bias assessment, • Establish safety guardrails and responsible AI practices for LLM applications in a regulated environment, • Connect AI agents to organizational systems and workflows, • Bachelor's or Master's in Computer Science or related technical field, • 10+ years software engineering/systems architecture experience with strong technical leadership, • 5+ years as senior technical contributor on complex production systems, • Expert in Python and proficient in SQL, • System design expertise: monolithic and microservice architectures, distributed systems, event-driven architectures, APIs, • Hands-on experience in data (e.g., data engineering, data pipelines, data transformation), • Foundational experience with LLMs and familiarity with multiple frontier lab models (e.g., Gemini, Claude, GPT), • Familiarity of risk vectors in AI applications including hallucinations, bias, prompt injection, data privacy, • Production experience with AI applications or LLM-powered systems, • Experience with RAG architectures and context engineering, • Familiarity with diverse LLM provider APIs and experience connecting agents to systems, • Experience tinkering with frontier lab tools and products, • Cloud platforms/technologies: AWS, Docker, Kubernetes, CI/CD, Terraform

Senior Linux Platform Engineer Salary: Open + Bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote Qualifications • 5+ years of experience in Linux systems administration and infrastructure/platform engineering., • Production experience managing Kubernetes, preferably in bare-metal or on-premises environments (e.g., with kubeadm, RKE, or OpenShift)., • Strong scripting and automation skills in Python and Bash., • In-depth knowledge of Linux internals, kernel tuning, and performance diagnostics., • Hands-on experience with SaltStack (preferred), Puppet, or Ansible for configuration management., • Familiarity with observability tools such as Prometheus, Grafana, or Loki., • Solid understanding of core infrastructure protocols and services (TCP/IP, DNS, NTP/PTP, DHCP, etc.)., • Experience managing CI/CD pipelines with tools such as Jenkins, GitLab, or similar, • Experience of highly regulated environments, • Related certifications is a plus Responsibilities • Managing and improving our Linux-based infrastructure with a focus on performance, reliability, and scalability., • Designing, deploying, and maintaining on-premises Kubernetes clusters and containerized workloads., • Developing and maintaining system-level software, middleware, and APIs to support internal platforms and services., • Automating system workflows and infrastructure tasks using Python, Bash, and configuration management tools like SaltStack., • Building and maintaining RPM packages and internal software repositories., • Collaborating with Application Support (SRE), Development, and Security teams to ensure secure, automated CI/CD and platform integration., • Diagnosing and resolving complex system-level issues involving the OS, network, or container runtime., • Implementing hardened security configurations, including system hardening, secure communications, and identity/access integration., • Participating in an on-call rotation to support critical infrastructure services., • Documenting architecture, tools, and operational processes to support long-term maintainability.

We’re Hiring – DevOps Engineer Location: Chicago, IL (Hybrid) Phillip Capital Inc., located in Chicago, is dually registered with the SEC/FINRA as a self-clearing broker dealer and the Commodity Futures Trading Commission (CFTC) as a registered Futures Commission Merchant (FCM) serving professional traders and institutions with customized clearing, custody and global market access solutions. We offer the opportunity to grow your skills and make meaningful, visible contributions to both your team and the company. We believe in integrity, accountability, open communication, and continual improvement to build for the long term. Our office in the iconic Board of Trade Building is conveniently located near Metra and CTA lines and close to restaurants, parks, shopping, and cultural institutions. Our building amenities include indoor bicycle parking, a gym, and a rooftop deck. Learn more about us at and ___. We are seeking a skilled and proactive DevOps Engineer to join our technology team. The ideal candidate will have a strong background in cloud infrastructure, automation, CI/CD pipelines, and system monitoring. You will work closely with developers and operations teams to ensure our systems are scalable, secure, and highly available. Key Responsibilities • Design, implement, and maintain CI/CD pipelines to support rapid development and deployment cycles., • Manage cloud infrastructure (AWS, Azure, or GCP) and ensure high availability, scalability, and security., • Automate system provisioning, configuration, and deployment using tools like Terraform, Ansible, or similar., • Monitor system performance and troubleshoot issues across development, staging, and production environments., • Collaborate with development, and IT teams to streamline workflows and improve system reliability., • Implement and maintain logging, monitoring, and alerting solutions (e.g., Prometheus, Grafana, ELK Stack), • Ensure compliance with security standards and best practices in infrastructure and deployment., • Participate in incident response efforts. Qualifications • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)., • 3+ years of experience as a DevOps Engineer, Systems Engineer, or related role., • Proficiency in at least one scripting language (Python, Bash, PowerShell, etc.)., • Experience with containerization and orchestration tools (Docker, Kubernetes)., • Strong knowledge of cloud platforms (AWS, Azure, GCP) and IaC tools (Terraform, CloudFormation)., • Hands-on experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, etc.)., • Familiarity with monitoring tools and log management systems., • Strong problem-solving skills and a collaborative mindset., • Cloud Certifications preferred., • Experience working in financial industry preferred., • Knowledge of networking and security fundamentals preferred., • Exposure to Agile/Scrum development processes preferred. To be considered for this position, please apply via LinkedIn or submit a resume directly to with “DevOps Engineer” in the subject line. Phillip Capital Inc. will not consider candidates sent by recruiters for this position. Pay range: $120,000 - $150,000

Software Project Manager (FTE – Chicago/Naperville Hybrid) Location Options: Chicago – Fulton Market or Naperville Onsite Expectations: First 3–4 months onsite, then hybrid Employment Type: Full-Time (Direct Client) We’re seeking a Software Project Manager who can lead multiple application development projects and work closely with a growing development team. This role requires someone who can operate comfortably in both client-facing and technical conversations. Why This Role Is Ideal You’ll guide software projects from kickoff to delivery—handling timelines, budgets, risk, and client communication—while collaborating deeply with developers. A developer background (Java, .NET, Python, C#, etc.) is strongly preferred to help estimate work, understand technical constraints, and set realistic delivery plans. Key Responsibilities • Lead end-to-end software/application development projects (not a Scrum Master role), • Own budgets, track burn, compare against quotes, and keep projects on target, • Serve as the main client and stakeholder liaison, • Partner closely with developers to plan, scope, and unblock tasks, • Use ClickUp and Agile practices for tracking and delivery, • Support 30+ active client initiatives across the team’s portfolio, • 5+ years of software project management experience, • Strong background in budget oversight, client management, and risk mitigation, • Hands-on development background or technical understanding (Java, .NET, Python, or similar), • Experience working with small, fast-moving engineering teams, • Local to Chicago/Naperville, able to be onsite for the first 3–4 months

Job Title: IBM WebSphere Administrator with BPM/BAW Experience Location: Chicago, IL (must be able to interview F2F) Overview: We are seeking an experienced IBM WebSphere Administrator with a strong focus on BPM (Business Process Management) and BAW (Business Automation Workflow) administration to join our dynamic team. The ideal candidate will have in-depth expertise in managing, maintaining, and optimizing IBM WebSphere environments while ensuring seamless integration with BPM and BAW solutions. Key Responsibilities: • Administer and support IBM WebSphere environments, including installation, configuration, tuning, and monitoring., • Manage and maintain BPM and BAW infrastructures, ensuring high availability and performance for business-critical applications., • Collaborate with development and operations teams to troubleshoot issues and implement solutions for complex problems., • Plan and execute upgrades, applying patches and updates to WebSphere Application Server, BPM, and BAW., • Design, implement, and maintain security policies and procedures in line with best practices., • Develop automation scripts to streamline administrative tasks and improve system efficiency., • Monitor system performance and conduct capacity planning to accommodate business needs., • Collaborate with architects and developers to design and deploy BPM and BAW solutions., • Provide technical support and training to team members and stakeholders. Qualifications: • Bachelor’s degree in Computer Science, Information Technology, or related field., • Proven experience as an IBM WebSphere Administrator with expertise in BPM and BAW., • Strong knowledge of WebSphere Application Server architecture, installation, and configuration., • Experience with BPM/BAW process design, deployment, and administration., • Proficiency in scripting languages (e.g., Jython, Shell, Python) for automation., • Familiarity with database management and integration (e.g., DB2, Oracle, MS SQL)., • Excellent problem-solving skills and ability to work under pressure., • Strong communication skills and the ability to work effectively in a collaborative environment. Preferred Skills: • IBM certifications related to WebSphere, BPM, or BAW., • Experience with cloud infrastructures and deployments., • Knowledge of ITIL practices and methodologies.

NO SPONSORSHIP - NO OPT PRINCIPAL ARTIFICIAL INTELLGIENCE ENGINEER SALARY: $200K - $220K PLUS 30% BONUS LOCATION: CHICAGO HYBRID 3 DAYS ONSITE SELLING POINTS: AI Research and engineering team. You will need strong software engineering and tech leadership. You will help define and execute AI technical roadmap, incorporate LLM and AI into processes and infrastructure. Large language models (LLMs) 10 years software engineering system architecture. Expertise python proficient in SQL system design expertise monolithic and microservices architecture distributed systems event driven architecture data engineering data pipelines data transformation AWS Docker Kubernetes CICD infrastructure as a code terraform Lead and partner on the architecture of scalable systems incorporating LLMs and AI into organizational processes and infrastructure Design and build production applications in support of organizational use cases Provide technical mentorship to junior engineers on engineering best practices and system design (no direct reports) Conduct code/architectural reviews ensuring production readiness, safety, and adherence to high security and compliance standards Implement testing, evaluation, and monitoring frameworks for AI systems including hallucination detection and bias assessment Establish safety guardrails and responsible AI practices for LLM applications in a regulated environment Connect AI agents to organizational systems and workflows Evaluate emerging technologies and recommend adoption strategies Foster continuous learning culture in a rapidly evolving AI landscape Qualifications: Bachelor's or Master's in Computer Science or related technical field 10+ years software engineering/systems architecture experience with strong technical leadership 5+ years as senior technical contributor on complex production systems Expert in Python and proficient in SQL System design expertise: monolithic and microservice architectures, distributed systems, event-driven architectures, APIs Hands-on experience in data (e.g., data engineering, data pipelines, data transformation) Foundational experience with LLMs and familiarity with multiple frontier lab models (e.g., Gemini, Claude, GPT) Familiarity of risk vectors in AI applications including hallucinations, bias, prompt injection, data privacy Experience mentoring and reviewing the work of junior engineers Exceptional communication skills explaining complex technical concepts Strong interest in AI/LLM space with demonstrated commitment to continuous learning Preferred Production experience with AI applications or LLM-powered systems Experience with RAG architectures and context engineering Familiarity with diverse LLM provider APIs and experience connecting agents to systems Experience tinkering with frontier lab tools and products Cloud platforms/technologies: AWS, Docker, Kubernetes, CI/CD Infrastructure as code: Terraform Experience in financial market infrastructure or derivatives industry Background in regulated environments

Senior Security Engineer Salary: Open + Bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote Qualifications • Bachelors' degree including 6+ years of related experience, • Experience in one or more of the following disciplines: security operations, development, engineering, or architecture, • Experience supporting privileged access management and access controls programs., • Professional or personal experience using AI coding agents such as OpenAI Codex, Claude Code, or Gemini CLI., • Expertise in providing operational and engineering support for one or more of the following: CyberArk, HashiCorp Vault, Active Directory Certificate Services (ADCS), HSMs, and Public Key Infrastructure (PKI)., • Expertise in scripting languages and developing in one or more of the following languages Golang, Bash, Python, PowerShell, Ansible, and/or Terraform., • Knowledge of privileged access management methodologies and techniques for on-prem and Cloud implementation., • Knowledge of application authentication and authorization systems (i.e., Active Directory, OAuth 2.0, OIDC, AWS IAM, App Role, k8s, LDAPS, Kerberos, Certificate), • Working knowledge of the cloud ecosystem and CI/CD deployments with Terraform, Ansible, and Jenkins pipelines., • Working knowledge of security architecture design and principles including confidentiality, integrity and availability. Responsibilities • Manage privileged access systems that protect most critical assets, implement AI-based security capabilities, and help shape security architecture., • Provide 24x7 operational support for the suite of privileged management solutions (e.g., CyberArk, Hashi, PKI), including implementing hot fixes, resolving bugs, troubleshooting issues, performing break-fixes, managing secrets lifecycle, and delivering end-user support., • Maintain robust operational integrity of privileged access management infrastructure throughout its lifecycle (e.g., patching, version control, system upgrades, etc.). Provide organizational subject matter experts on secrets management and privileged access management architecture, establishing and enforcing security as code principles throughout the environment., • Develop and implement system enhancements to improve platform user experience and automated integrations, while designing long-term solutions to address operational issues through innovative technologies including artificial intelligence for faster detection and remediation of functional and technical problems.

Security Engineering - AI Based Security - Operational Support SALARY: $160k - $170k plus 15% bonus LOCATION: Chicago, IL Hybrid 3 days onsite Looking for a candidate to manage the privileged access system. Implement AI based security capabilities . 24/7 operational support, HashiCorp, PKI a must. In this role, you'll manage privileged access systems that protect our most critical assets, implement AI-based security capabilities, and help shape our security architecture. Primary Duties and Responsibilities: Provide 24x7 operational support for the suite of privileged management solutions (e.g., CyberArk, Hashi, PKI), including implementing hot fixes, resolving bugs, troubleshooting issues, performing break-fixes, managing secrets lifecycle, and delivering end-user support. Qualifications: Knowledge of application authentication and authorization systems (i.e., Active Directory, oAuth 2.0, OIDC, AWS IAM, App Role, k8s, LDAPS, Kerberos, Certificate) Working knowledge of the cloud ecosystem and CI/CD deployments with Terraform, Ansible, and Jenkins pipelines. Working knowledge of security architecture design and principles including confidentiality, integrity and availability. Technical Skills: Expertise in providing operational and engineering support for one or more of the following: CyberArk, HashiCorp Vault, Active Directory Certificate Services (ADCS), HSMs, and Public Key Infrastructure (PKI). Expertise in scripting languages and developing in one or more of the following languages GoLang, Bash, Python, PowerShell, Ansible, and/or Terraform. Knowledge of privileged access management methodologies and techniques for on-prem and Cloud implementation. Education and/or Experience: Experience in one or more of the following disciplines: security operations, development, engineering, or architecture Experience supporting privileged access management and access controls programs. Professional or personal experience using AI coding agents such as OpenAI Codex, Claude Code, or Gemini CLI.

Quant Developer - Proprietary Trading ~$750k Our client, an established Prop Shop is seeking an experienced quant developer to lead a small front-office quant team. The ideal candidate will bring a background in software development, quant trading, and a proven track record in overseeing research-oriented engineering teams. Key Responsibilities: • Collaborate with research teams to translate research concepts into resilient production systems, while continuously advancing trading performance at the desk level., • Create and maintain analytical tools for research analysis, model assessment, and strategy formulation., • Foster a culture of mentorship within the team, introducing fresh insights on tools and techniques that can elevate quality and inspire more effective solutions. Requirements: • 5+ years of software experience, specializing in quantitative trading., • Thorough understanding of systematic strategies, financial markets, and trading technologies., • Excellent proficiency in C++ and Python., • Bachelor's degree in Computer Science or a related field. For a successful application, be sure to highlight your Systematic Trading experience. Regrettably, candidates lacking this expertise will not be

Technical Lead Engineer, Artificial Intelligence Salary: Open + Bonus Location: Chicago, IL Hybrid: 3 days onsite 2 days remote Qualifications • Bachelor's or Master's degree in Computer Science or related technical field, • 10+ years software engineering/systems architecture experience with strong technical leadership, • 5+ years as senior technical contributor on complex production systems, • Expert in Python and proficient in SQL, • System design expertise: monolithic and microservice architecture, distributed systems, event-driven architecture, APIs, • Hands-on experience in data (e.g., data engineering, data pipelines, data transformation), • Experience with LLMs and familiarity with multiple frontier lab models (e.g., Gemini, Claude, GPT), • Familiarity of risk vectors in AI applications including hallucinations, bias, prompt injection, data privacy, • Cloud platforms/technologies: AWS, Docker, Kubernetes, CI/CD, Terraform, • Experience with RAG architecture and context engineering, • Familiarity with diverse LLM provider APIs and experience connecting agents to systems Responsibilities • Partner with the Executive Director, AI Engineering to help define and execute on AI technical roadmap, • Lead and partner on the architecture of scalable systems incorporating LLMs and AI into organizational processes and infrastructure, • Design and build production applications in support of organizational use cases, • Provide technical mentorship to junior engineers on engineering best practices and system design (no direct reports), • Conduct code/architectural reviews ensuring production readiness, safety, and adherence to high security and compliance standards, • Implement testing, evaluation, and monitoring frameworks for AI systems including hallucination detection and bias assessment, • Establish safety guardrails and responsible AI practices for LLM applications in a regulated environment, • Connect AI agents to organizational systems and workflows

Be a part of our success story. At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment. We invest in our people through competitive compensation, exceptional benefits, internal growth pathways, and meaningful community involvement. For senior professionals ready to shape the future of AI and Data Science, your next big opportunity starts here. The Role: As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You’ll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and influence decision-making across the organization. You will work closely with stakeholders and cross-functional teams to define use cases, architect scalable solutions, and drive innovation through GenAI, LLMs, NLP, computer vision, and other cutting-edge techniques. Key Responsibilities: • Lead advanced Data Science initiatives from ideation to deployment, ensuring alignment with business strategy and measurable outcomes., • Develop, implement, and optimize AI/ML models across a range of domains, including predictive analytics, GenAI, LLMs, time series, deep learning, and NLP., • Conduct rigorous exploratory data analysis and feature engineering to uncover insights and support robust model development., • Architect data preprocessing pipelines that ensure clean, high-quality, and well-structured data for training and evaluation., • Apply experimental design best practices (e.g., A/B testing, cross-validation, randomization) to ensure statistical rigor and reduce model bias/overfitting., • Own the deployment and monitoring of ML solutions on modern cloud platforms (Databricks, AWS SageMaker, Azure ML, Snowflake, etc.)., • Serve as a technical advisor and thought leader, guiding internal stakeholders on AI capabilities, data strategy, and industry best practices., • Mentor and support the development of junior and mid-level data scientists through code reviews, pair programming, and knowledge sharing., • Communicate effectively across technical and non-technical audiences, including executive leadership, to influence and drive adoption of data-driven solutions. Required Qualifications: • 7+ years of hands-on experience in Data Science, with a strong track record of delivering end-to-end AI/ML solutions in production environments., • Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, spaCy, and/or Hugging Face., • Strong understanding of statistical modeling, regression, classification, clustering, and deep learning architectures., • Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real-world business problems., • Proven ability to write advanced SQL and work with complex data structures across relational and non-relational databases., • Experience with data pipeline orchestration and preprocessing of structured and unstructured data at scale., • Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry., • Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving environment., • Excellent verbal and written communication skills, including the ability to present complex technical concepts clearly and persuasively. Preferred Qualifications: • Experience with project delivery frameworks and tools such as Azure DevOps, JIRA, or Agile methodologies., • Experience working with Electronic Medical Record systems and healthcare data file types (e.g., HL7, FHIR, CCD)., • Certifications related to Epic, FHIR, or other health IT platforms are a plus., • Familiarity with data architecture tools (e.g., Miro, Visio, LucidChart) for technical design documentation., • Knowledge of modern cloud-based data solutions such as Azure Synapse, Snowflake, Redshift, or BigQuery. Benefits & Compensation: As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits - medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $140,000-180,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

A prestigious company is looking for a Network Engineer.This network engineer will focus on Cisco Routers/switches, LAN/WAN, Cisco ACI, Firewalls, load balancing, Ansible/Terraform, Cloud, etc. Responsibilities: • Oversee the full lifecycle of network infrastructure, including the design, deployment, support, and documentation of routing, switching, firewalls and cloud-base solutions., • Lead and coordinate network changes, ensuring security, performance and compliance with governance framework (NIST-CSF, COBIT)., • Collaborate with vendors, carriers, and engineering teams to resolve complex issues and drive large-scale project to completion., • Bachelor’s degree, preferably in a technical discipline (Computer Science, Mathematics, etc.) or equivalent combination of education and experience., • 5+ years of experience in IT systems installation, operations, administration, and maintenance of virtualized servers / cloud systems, • Cisco Certified Network Professional (CCNP or CCDP) equivalent field experience, • AWS certifications such as DevOps Engineer, Solutions Architect, Advanced Networking, or Security or equivalent field experience, • Cisco Certified Internetwork Engineer (CCIE) Certification, • Experience directing use of tools such as Ansible, Terraform, Jenkins, Python, and Github (or industry equivalent), • Experience delivering Infrastructure as code, • Experience building cloud infrastructure in environments such as AWS (Preferred), Azure, or Google Cloud, or similar service, • Knowledge of layer 3 routing and switching, • Experience with IOS, NX-OS, and XR, • Advanced experience with architecting, designing, deploying, and operating network elements such as DNS/IPAM; Firewalls; Network Access Control Solutions (NAC); load balancing; DDoS mitigation, tapping/sniffing infrastructures; and NTP, • Excellent physical communication troubleshooting skills using cabling and signaling analyzer, packet capture and analysis, • Advanced WAN, LAN, TCP/IP, VPN, Ethernet Skills, • Extensive EIGRP, BGP4, RIP and OSPF Routing Protocol knowledge, • Experience with SDN deployments or Cisco ACI, • Experience with IP route and switching for mainframe and storage appliances

• Role: AI Architect, • Location: Chicago, IL, • Skills: AI/ML Models and Algorithms, GenAI, • Experience: 15 + Years We at Coforge are seeking an AI Architect with proven experience in developing data and services in an enterprise and cloud environment. The ideal candidate will have extensive experience Design and Implement AI/ML Models and Algorithms and Expertise in Data Architecture. Responsibilities: • Lead the design and implementation of end-to-end AI systems. Take foundational models from existing platforms and fine-tune them with data to achieve specific outcomes., • Lead the implementation of best practices for deploying and serving various types of AI models. Provide expertise in ML practices, CI/CD pipelines, and infrastructure to automate the deployment, versioning, and lifecycle management., • Architect and deploy AI solutions on AWS and other major cloud platforms, with a hands-on emphasis on using cloud-native services for computation, storage, and networking., • Utilize exceptional proficiency in Python and other relevant languages to build high-performance, production-ready AI services and tools., • Performance Tuning: Design and implement monitoring and alerting solutions to evaluate model performance, data drift, and system health in production., • Lead and mentor a team of engineers, guiding architectural decisions, ensuring code quality through rigorous code reviews, and establishing best practices for development. Required Skills: • Proven experience in developing data and services in an enterprise and/or cloud environment., • Good experience with GenAI, • Lead the Architecture and Design:, • Translate Business Needs/ QE needs into AI Solutions:, • Design and Implement AI/ML Models and Algorithms:, • Data Architecture Expertise:, • Collaborate and Lead:, • Deep understanding of AI systems, model governance, and risk frameworks., • Proficiency in relevant technologies and languages such as Databricks, Azure data services, Oracle, Postgres, SQL Server, SQL, Java, Python, Scala., • Strong working knowledge of data engineering technologies, data modelling tools, and ETL strategies., • Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and stakeholders

Job Description The Senior Data Scientist, Clinical Data Science (HOS & HRA) plays a key role in advancing analytics that improve Medicare Advantage member outcomes and CMS Star Ratings performance. This position supports the design, implementation, and automation of analytic solutions for the Health Outcomes Survey (HOS) and Health Risk Assessment (HRA) programs—two core domains in Aetna’s Medicare clinical strategy. The ideal candidate combines strong technical depth in data science and statistical modeling with the ability to translate complex findings into actionable insights for non-technical audiences. This individual will automate recurring data science workflows, conduct robust impact and descriptive analyses, and collaborate closely with clinical, quality, and operations teams to identify emerging opportunities that improve member experience and population health outcomes. Clinical Data Science & Analytics • Lead the development of analytic models and descriptive frameworks supporting HOS and HRA performance improvement across Medicare Advantage., • Conduct impact analyses, trend identification, and segmentation to explain drivers of performance and inform strategy., • Automate recurring analytics and reporting pipelines to increase reliability, efficiency, and reproducibility of insights., • Apply advanced statistical, predictive, and causal inference methods to evaluate intervention effectiveness and identify member-level opportunities., • Develop and refine tools for data visualization and storytelling to communicate results clearly to non-technical stakeholders., • Partner with business leaders to translate analytic results into actionable recommendations for program design, member outreach, and care interventions. Collaboration & Consultation • Serve as a bridge between technical and non-technical teams, ensuring analytic outputs are interpretable and actionable., • Collaborate cross-functionally with Clinical Operations, Member Experience, and Quality teams to align analytics with enterprise goals., • Support enterprise data modernization and automation initiatives by identifying repeatable use cases for scalable analytics and workflow improvement., • Mentor junior data scientists and analysts on best practices for data integrity, modeling, and automation. Technical & Operational Excellence • Design and maintain automated analytic processes leveraging Python, SQL, and modern cloud environments (e.g., GCP)., • Ensure accuracy, consistency, and explainability of models and metrics through disciplined version control and validation., • Contribute to the team’s continuous improvement culture by recommending new methods, tools, or data sources that enhance analytic precision and speed. Required Skills & Experience • 5+ years of hands-on experience in data science, advanced analytics, or statistical modeling in healthcare, life sciences, or managed care., • Strong proficiency in Python, SQL, and data science libraries (e.g., pandas, scikit-learn, statsmodels)., • Demonstrated ability to automate data workflows and standardize recurring analyses or reporting., • Experience applying statistical and descriptive analytics to clinical or quality measurement problems (e.g., HOS, HRA, CAHPS, or HEDIS)., • Proven success communicating complex findings to non-technical business partners and influencing decision-making., • Ability to work effectively in a fast-paced, cross-functional environment. Nice to Have Skills & Experience • Master’s or PhD in Data Science, Statistics, Epidemiology, Public Health, or a related quantitative field., • Familiarity with Medicare Advantage, CMS Star Ratings methodology, and clinical quality measures., • Experience working within modern cloud environments (e.g., Google Cloud Platform, Databricks) and with workflow orchestration tools (Airflow, dbt)., • Background in impact measurement, causal inference, or time-series analysis in healthcare contexts.

Responsibilities: • Provide 24x7 operational support for the suite of privileged management solutions (e.g., CyberArk, Hashi, PKI), including implementing hot fixes, resolving bugs, troubleshooting issues, performing break-fixes, managing secrets lifecycle, and delivering end-user support., • Maintain robust operational integrity of privileged access management infrastructure throughout its lifecycle (e.g., patching, version control, system upgrades, alignment with Security standards, etc.). Provide organizational subject matter expert on secrets management and privileged access management architecture, establishing and enforcing security as code principles throughout the environment., • Experience in one or more of the following disciplines: security operations, development, engineering, or architecture, • Experience supporting privileged access management and access controls programs., • Professional or personal experience using AI coding agents such as OpenAI Codex, Claude Code, or Gemini CLI., • Expertise in providing operational and engineering support for one or more of the following: CyberArk, HashiCorp Vault, Active Directory Certificate Services (ADCS), HSMs, and Public Key Infrastructure (PKI)., • Expertise in scripting languages and developing in one or more of the following languages GoLang, Bash, Python, PowerShell, Ansible, and/or Terraform., • Knowledge of privileged access management methodologies and techniques for on-prem and Cloud implementation., • Knowledge of application authentication and authorization systems (i.e., Active Directory, oAuth 2.0, OIDC, AWS IAM, App Role, k8s, LDAPS, Kerberos, Certificate), • Working knowledge of the cloud ecosystem and CI/CD deployments with Terraform, Ansible, and Jenkins pipelines.

Northern Trust is proud to provide innovative financial services and guidance to the world’s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service. We are seeking a dynamic and innovative Test Architect to lead our Azure Infrastructure as Code (IaC) quality assurance initiatives and contribute to application development projects leveraging Python, Spring Boot, and React. This role bridges the domains of cloud infrastructure, automated testing, and modern application engineering, making it ideal for a technical leader passionate about DevOps, platform reliability, and developer productivity. Role Overview As a Test Architect, you will be responsible for designing and implementing robust quality frameworks for Azure-based IaC solutions, driving the adoption of automation best practices, and ensuring infrastructure consistency and compliance across multiple environments. You will also play a key role in developing and integrating supporting applications—ranging from automation scripts to dashboards—using Python for backend logic and Spring Boot/React for full-stack web development. Key Responsibilities • Architect and evolve comprehensive automated test strategies for Azure IaC, focusing on Terraform, ARM/Bicep, and policy compliance., • Lead the development of Python-based automation tools and scripts for test execution, resource provisioning, configuration validation, and infrastructure reporting., • Design, build, and maintain user-facing dashboards, reporting tools, and workflow automation platforms using Spring Boot and React, enabling data-driven insights into IaC test coverage, drift management, and compliance posture., • Integrate IaC quality gates into CI/CD systems such as GitHub Actions, ensuring all code deployments pass automated test suites and drift detection scans before promotion., • Establish and refine frameworks for drift detection, root cause analysis, and remediation, leveraging both native Azure services and custom-developed solutions., • Collaborate with architects, security specialists, and application developers to align infrastructure test practices with organizational goals, compliance requirements, and evolving cloud technologies., • Promote best practices through code reviews, technical workshops, and documentation., • Design, implement, and maintain comprehensive automated testing suites for Azure IaC using python., • Develop, execute, and refine test cases to validate infrastructure modules, deployments, and policies in Azure environments., • Develop, enhance, and maintain supporting applications and tools using Python, Spring Boot, and React, facilitating automation, reporting, and dashboarding for IaC quality and drift management., • Monitor, report, and remediate infrastructure drift, using tools and frameworks for continuous compliance and configuration management., • Maintain detailed documentation on test coverage, drift findings, and corrective actions taken to ensure auditability and traceability., • Conduct root cause analysis for infrastructure failures and propose solutions to improve test coverage and resilience., • Stay up-to-date with Azure platform enhancements, testing tools, and industry trends in cloud IaC quality, governance, and full-stack development. Required Skills & Qualifications • Bachelor’s or master’s degree in computer science, Engineering, or a related technical discipline., • 14+ years of experience in cloud infrastructure engineering and automated testing, with a minimum of 3 years focused on Azure public cloud., • Expertise in infrastructure automation using Terraform, ARM templates, and Bicep within Azure environments., • Advanced proficiency in Python for developing test automation, orchestration logic, and data processing pipelines., • Strong background in full-stack application development, including building RESTful APIs and web applications with Spring Boot (Java) and React., • Hands-on experience with configuration management, monitoring, and compliance tools native to Azure, as well as industry-standard frameworks (e.g., Terratest, Pester)., • Track record of integrating infrastructure quality assurance into modern CI/CD pipelines., • Excellent analytical, problem-solving, and communication skills, with an emphasis on technical documentation and cross-functional collaboration., • Proficient in supporting, maintaining, and enhancing Spring Boot applications, ensuring seamless integration with backend services, optimized performance, and robust security for enterprise-scale cloud environments., • Extensive hands-on experience with Azure-native monitoring tools such as Azure Monitor, Log Analytics, and Application Insights, enabling proactive detection and resolution of infrastructure issues., • Proficiency in integrating monitoring frameworks with automated test suites and reporting dashboards, ensuring visibility into resource health, compliance drift, and system performance. Preferred Skills • Experience with multi-cloud environments (AWS, GCP) and hybrid IaC strategies., • Familiarity with containerization (Docker, Kubernetes/AKS) and microservices architectures., • Background in building secure, compliant platforms within regulated industries., • Expertise in workflow automation, event-driven architectures, and data visualization using Python, Spring Boot, and React., • Experience with TypeScript, Next.js, or other modern JavaScript frameworks., • Familiarity with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions., • Understanding of security best practices (OWASP, JWT, OAuth2, SSO)., • Background in performance optimization, caching strategies, and application monitoring., • Exposure to automated testing tools (Jest, Mocha, Selenium, JUnit)., • Strong analytical, troubleshooting, and debugging skills., • Relevant Azure and DevOps certifications (AZ-104, AZ-305, DevOps Engineer Expert) are strongly preferred.

Lead Software Engineer – QRM Salary: $165k-$185k + bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote Qualifications • Master’s degree is required in a quantitative field, • 6+ years of experience in quantitative areas in finance and/or development experience in model implementation and testing., • Proficiency in Python development for prototyping and test automation., • Experience with numerical libraries and/or scientific computing., • Experience with automated quality assurance frameworks (e.g., Junit, TestNG, Pytest, etc.) for model testing., • Experience in relational database technology and SQL query language., • Good understanding of markets and financial derivatives in equities, interest rates, and commodity products., • Strong understanding of the following, • Financial mathematics (derivatives pricing models, stochastic calculus, statistics and probability theory, advanced linear algebra), • Econometrics, data analysis (e.g., time series analysis, GARCH, fat-tailed distributions, copula, etc.) and machine learning techniques, • Numerical methods and optimization; Monte Carlo simulation and finite difference techniques, • Risk management methods (value-at-risk, expected shortfall, stress testing, backtesting, scenario analysis) Responsibilities • Support the development of quantitative models for pricing, risk management, and stress testing of financial products and derivatives., • Review model documentation including whitepapers and implementation notes., • Design, implement, and maintain model prototypes and model testing tools using best industry practices and innovations., • Review and conduct comprehensive quality assurance testing on the implementation of models and algorithms for both QRM Library and prototypes focusing on requirement verification, coding, and testing quality, which involves the constructions of test cases, automation of model unit testing and creations of reference models if needed., • Present test plans and test results to, and obtain feedback from peers, model validators, and model developers., • Participate in code reviews for QRM Library, model prototypes, and Model Development Tool., • Contribute to the model release testing including margin impact analysis and baseline support and troubleshooting during model library integration with production applications., • Contribute to the development and testing of Model Development Tool including databases, ETLs, services, orchestration, and CI/CD pipelines., • Support large-scale model backtesting using historical data, including system configuration, execution and analysis of results.

About the Role An elite high frequency trading firm is seeking a Distributed Compute Tech Lead to design and operate large-scale computing systems that powers quantitative research. This role focuses on improving research efficiency by building robust infrastructure, APIs, and libraries that abstract complexity and enable researchers to innovate faster. You will serve as a bridge across disciplines, collaborating with researchers, engineers, and leadership to shape technology direction and strategy for the firm's research platform. Key Responsibilities • Architect and operate distributed or high-performance computing systems at scale, ensuring reliability, scalability, and performance., • Design and implement APIs and libraries that abstract infrastructure complexity, making compute resources easily accessible to researchers., • Optimize job scheduling and resource allocation using tools like SLURM and other HPC schedulers., • Collaborate with researchers to identify bottlenecks and deliver solutions that accelerate research workflows., • Partner with leadership and cross-functional teams to define technology strategy and influence long-term direction., • Develop automation and orchestration tools for compute-intensive tasks., • Establish best practices for distributed computing and mentor team members on HPC resource management. Required Qualifications • Bachelor's degree in computer science or equivalent, • Minimum of 5 years of experience in architecting Distributed or High Performance Computing systems., • Strong expertise in Python for building tools, automation, and APIs., • Familiarity with C++ for performance-critical components., • Extensive experience with job schedulers (e.g., SLURM) and distributed computing frameworks., • Proven experience architecting and operating distributed or HPC systems at scale., • Strong background in building developer-facing APIs or libraries that abstract infrastructure., • Ability to collaborate across disciplines and influence technology strategy., • Excellent problem-solving skills and ability to thrive in a fast-paced, high-performance environment. Preferred Qualifications • Experience in financial services or high-frequency trading environments., • Knowledge of containerisation (Docker, Kubernetes) and cloud/HPC hybrid setups.

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. Job Description: We are seeking a skilled and proactive Delivery Engineer to join our IT Platform team. As a Delivery Engineer, you will be responsible for ensuring the successful delivery, deployment, and integration of IT platform solutions, aligning them with business needs and technical specifications. The role involves managing the end-to-end deployment process, troubleshooting issues, and collaborating with cross-functional teams to implement robust platform solutions. The ideal candidate will possess a strong background in systems engineering, cloud technologies, and automation, with a focus on delivering scalable and high-performance IT infrastructure. Key Responsibilities: Platform Delivery and Deployment: • Coordinate and execute the delivery of IT platform solutions, ensuring smooth implementation in production environments., • Manage end-to-end deployment processes, including configuration, testing, and integration of software and infrastructure solutions., • Integrate new platform components with existing infrastructure, ensuring seamless interoperability and performance optimization., • Automate routine delivery and deployment tasks to increase efficiency and minimize manual interventions., • Work closely with development teams to understand platform requirements and ensure that solutions are deployed efficiently and effectively., • Collaborate with operations teams to ensure that platform deployments are stable, scalable, and meet performance targets., • Identify, troubleshoot, and resolve issues during the delivery and deployment of platform solutions., • Conduct root cause analysis of delivery failures and work with teams to implement preventive measures., • Maintain detailed documentation of deployment procedures, configuration settings, and troubleshooting steps., • Create deployment reports and provide regular updates on platform delivery status, including risk assessments and mitigation plans., • Monitor the performance of deployed platforms, ensuring that they meet defined SLAs and performance standards., • Analyze performance metrics and recommend optimizations to improve the efficiency and reliability of platform solutions., • Ensure that all platform deliveries are compliant with security policies, data protection regulations, and industry standards., • Work with the security team to implement and maintain platform security best practices during deployment and post-deployment phases., • Conduct security assessments and audits as part of the deployment process. Qualifications: • Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience)., • 3-5 years of experience in IT platform engineering, systems administration, or a similar role., • Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes)., • Experience with deployment automation tools and CI/CD pipelines (e.g., Jenkins, GitLab, Terraform)., • Familiarity with infrastructure as code (IaC) and configuration management tools (e.g., Ansible, Puppet, Chef)., • Proficient in scripting and automation languages (e.g., Python, PowerShell, Bash)., • Strong troubleshooting and problem-solving skills with a proactive and analytical mindset., • Ability to work collaboratively with cross-functional teams in a fast-paced environment., • Excellent communication skills, both verbal and written, with the ability to convey complex technical concepts to non-technical stakeholders. Preferred Skills: • Experience with DevOps practices and tools., • Knowledge of networking, load balancing, and database technologies., • Experience in platform performance tuning and optimization., • Familiarity with security practices and compliance frameworks such as ISO 27001, SOC 2, and GDPR., • Relevant certifications such as AWS Certified Solutions Architect, Azure Administrator, or Google Cloud Professional Engineer are a plus. Annual Salary Range: $125,000-$150,000/year, with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match. If you are an applicant residing in California, please view our privacy policy here: