76 jobs found in Chicago

Job Description Key Responsibilities Perform audits of work completed in data centers and co-location facilities. Provide technical guidance and oversight to field technicians. Support fiber installation, decommissioning, migrations, remediation, and break/fix activities. Conduct optical testing and troubleshooting using OTDRs, optical power meters, VFLs, and related tools. Interpret and execute Methods of Procedure (MoPs), engineering documents, cut sheets, and network diagrams. Ensure proper cable management and accurate fiber connections. Communicate directly with customers and provide project updates through ticketing systems and meetings. Maintain quality, safety, and operational standards across all activities. Required Qualifications 3-5+ years of experience in data center operations or a similar technical environment. Experience leading teams or supervising technicians. Strong hands-on experience with single-mode and multi-mode fiber optic cabling. Experience with optical testing and transport troubleshooting. Ability to read network diagrams, engineering documentation, and cut sheets. Strong communication and documentation skills. Experience using Microsoft Office Suite and customer ticketing systems. Ability to work in fast-paced, high-availability environments. Physical Requirements Ability to lift and move equipment up to 50 lbs. Comfortable working at heights and in varying environmental conditions. Ability to travel up to 50% as needed.

Job Description AI Data Engineer Location: Remote (Chicago-area preferred for occasional onsite meetings) Type: 12-Month Contract (Extendable / Contract-to-Hire) Join a premier global financial firm's rapidly growing Data & AI Automation team. You will architect the data pipelines, backend infrastructure, and agentic connectors that power production-grade AI applications across the enterprise. What You'll Do Build AI Data Pipelines: Design end-to-end pipelines in Microsoft Azure to ingest, parse, and structure raw documents (PDFs, financial records) into enterprise databases. Power Production AI Apps: Architect data flows and backends (Python, Streamlit, React) to scale AI initiatives from POCs into high-impact internal tools. Automate Financial Workflows: Partner with Tax and Finance teams to extract data, apply business logic, and automate complex workflows like IRS form completion. Lead & Future-Proof: Guide offshore mid-level engineers through code reviews and architectural alignment, while building Model Context Protocol (MCP) servers to expose internal databases for 2027 agentic AI initiatives. Accelerate Delivery: Leverage AI coding assistants (Claude, ChatGPT, Codex) to boost development and debugging velocity. What You Bring 3+ years of experience as a Data Engineer. Strong proficiency in Python, Microsoft Azure, and modern cloud data platforms (Microsoft Fabric, Snowflake, or Databricks). Proven experience supporting the data backend for active, production AI applications and unstructured document parsing. Proficiency with AI coding tools and strong cross-cultural communication skills. Bonus: Experience with MCP servers/connectors, Streamlit/React, financial/tax automation, or mentoring offshore teams. Details & Benefits: Visionaire Partners offers full-time W2 contractors comprehensive medical, dental, vision, life, disability, FSA, and a 401(k) with up to a 4% match. Must be authorized to work in the U.S. (no sponsorship available).

Job Description USCs or GCs only - we are unable to sponsor visas for this role Third-party consultants and vendors are requested not to apply. SAP Data and Analytics - Delivery , Solutioning, Pre-Sales & Go-to-Market (GTM) Location: Chicago, IL / Atlanta, GA / Dallas, TX / New York, NY / NJ Employment Type: Full-time Job Description We are seeking a dynamic and experienced Delivery , Solutioning, Senior Pre-Sales & Go-to-Market (GTM) expert to drive our SAP Data & Analytics practice growth. This role combines strategic market planning with hands-on pre-sales and solutioning expertise. You will collaborate closely with sales, delivery, marketing, and alliance teams to create compelling value propositions and win strategic SAP deals focused on data and analytics (including SAP Datasphere, SAC, BTP, MDG, BDC, BODS/Syniti and related technologies) You Role: Go-to-Market Strategy: Develop and execute GTM strategies for SAP Data & Analytics offerings Identify high-growth areas (e.g., S/4HANA migrations, Data Governance, Datasphere adoption, BDC, AI/ML on SAP data) Collaborate with SAP alliance and marketing teams on campaigns, events, and solution launches Track market trends, competitor offerings, and customer needs to refine strategy Pre-Sales & Solutioning: Lead pre-sales engagements including discovery, RFP responses, solution design, orals and client presentations Conduct client workshops and articulate value propositions across industries and SAP landscapes Design and propose end-to-end SAP Data & Analytics architectures leveraging BTP, Datasphere, SAC, HANA, MDG, BDC etc. AI in everything we do - must have experience in proposing AI-based solutions for the entire solution portfolio (ability to draw the solution architecture and estimate the staffing and cost) Create reusable solution accelerators, demos, and sales collateral with delivery teams Sales Enablement: Support SAP sales and account teams with opportunity shaping and deal closure Build and manage a pipeline of opportunities and drive them through the sales lifecycle Educate internal teams on SAP data and analytics offerings and GTM playbooks Thought Leadership: Represent the company in SAP events, webinars, and industry forums Publish blogs, whitepapers, and thought leadership content on data and analytics trends in SAP ecosystem Orchestrate solutions using AI Required skills: 15+ years of experience in SAP ecosystem with deep expertise in Data & Analytics (either deep delivery experience of multiple global deployments or deep pre-sales experience) Strong knowledge of Data Migration tools and methodology, Data Quality, SAP Datasphere, SAP BTP, SAC, MDG, SAP BDC and integration with non-SAP tools Strong knowledge of AI and how to design/deliver AI-native solutions in the Data and Analytics space Proven track record in pre-sales, GTM planning, and enterprise solutioning Experience working in or with consulting and services organizations Ability to engage C-level stakeholders with business and technical messaging Excellent communication, storytelling, and proposal writing skills Experience working with SAP alliance teams is a plus

Job Description ? WE ARE HIRING Senior Automation & Data Migration Testing Engineer ? Location: Chicago, IL 60604 (Onsite) ? Experience: 12+ Years ? Interview Mode: Video Interview ? Preference: Local candidates only We are looking for a highly experienced Senior Automation Engineer with strong expertise in Python, test automation, CI/CD, AWS, and Data Migration Testing to join our team in Chicago, IL. The ideal candidate should have extensive experience in automation frameworks, data validation, data reconciliation, and database testing across multiple database technologies. ? Required Skills & Experience Automation Testing: 12+ years of hands-on experience. CI/CD: 7+ years of experience. AWS: 4+ years of experience. Python: 5+ years of experience. Infrastructure: 5+ years of experience. ? Technical Skills Strong programming experience in Python and Java. Excellent SQL skills and database testing experience. Hands-on experience with Data Migration Testing. Expertise in Data Validation and Data Reconciliation. Strong experience with Oracle, SQL Server, MySQL, and Snowflake. Experience designing and implementing automation frameworks. Knowledge of CI/CD pipelines and AWS cloud infrastructure. Ability to validate data accuracy, completeness, and consistency across source and target databases. ? Candidate Requirements 12+ years of overall relevant professional experience. Strong analytical, debugging, and problem-solving skills. Excellent communication and collaboration abilities. Must be available to work onsite in Chicago, IL 60604. Local candidates preferred. ? Interested candidates: Please share your updated resume via LinkedIn DM or email.

Job Description We're Hiring - IT Support 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 provide an environment where you can grow your skills and make meaningful, visible contributions to your team and the broader organization. Our culture is built on integrity, accountability, open communication, and continuous improvement, with a focus on building for the long term. Our office, located in the iconic Board of Trade Building, offers convenient access to Metra and CTA lines and is steps away from restaurants, parks, shopping, and cultural institutions. Building amenities include an onsite gym, indoor bicycle parking, a game room, and a rooftop deck with exceptional views. We are seeking a reliable and detail-oriented IT Support Engineer to provide daily technical support across the organization. This role involves troubleshooting hardware, software, network, and system issues, ensuring minimal disruption to business operations. You will serve as the first point of contact for IT-related queries and play a key role in keeping our users productive. Key Responsibilities Respond promptly to IT support requests via ticketing system, email, or in person. Troubleshoot and resolve hardware and software issues (Windows/macOS, printers, mobile devices). Provide support for Microsoft 365 (Outlook, Teams, SharePoint, and OneDrive) and other approved business and AI tools. Manage accounts, group access, password resets, and user lifecycles in Active Directory and Microsoft Entra ID. Use tools such as Intune, Jamf, TeamViewer, or BeyondTrust for device management, software deployment, patching, and remote support. Maintain IT asset inventory and assist in hardware lifecycle management. Set up and maintain conference room and audiovisual equipment. Support basic network troubleshooting (Wi-Fi, LAN, VPN). Ensure regular data backups and assist in data recovery when required. Document solutions, update knowledge base articles, and identify recurring issues or process improvements. Escalate complex issues to higher-level IT staff or vendors. Ensure compliance with company IT policies and security protocols. Qualifications Associate's or Bachelor's degree in Information Technology or a related field. 1-3 years of experience in IT support or help desk environment. Proficient with Windows, macOS, Microsoft 365 and standard business applications. Understanding of computer hardware, networks, and security basics. Experience managing accounts, groups, password resets, and user lifecycles in Active Directory and Microsoft Entra ID (formerly Azure AD). Working knowledge of TCP/IP, DHCP, DNS, Wi-Fi, LAN, and VPN troubleshooting. Experience with Intune, Jamf, or SCCM/Configuration Manager. Familiarity with Windows Autopilot or MDT is a plus. Ability to follow and reinforce AI-use policies, identify data-protection risks, and escalate concerns. Experience with Active Directory and user/group management preferred. Familiarity with remote support tools (e.g., TeamViewer, AnyDesk) preferred. Knowledge of ticketing systems like Jira or Zendesk preferred. Basic scripting (PowerShell, Bash) is a plus. Strong customer service, communication and problem-solving skills. Ability to prioritize tasks and work independently or in a team. To be considered for this position, please apply via LinkedIn or submit a resume directly to with "IT Support Engineer" in the subject line. Phillip Capital Inc. will not consider candidates sent by recruiters for this position.

Job Description Senior Network Engineer, Trading Infrastructure Location: Chicago Type: Full time, Permanent Team: Network Engineering / Network Automation A leading global trading firm is seeking a Senior Network Engineer to design, build, operate and evolve the network infrastructure behind its trading business. This is a hands-on role for an engineer who enjoys solving hard problems across low latency networking, automation, WAN connectivity and global data centre environments. The successful candidate will work on critical projects that help the firm scale, improve performance and stay ahead in a highly competitive trading environment. No financial markets experience is required. Strong networking expertise, technical curiosity and a drive to improve complex systems matter most. The opportunity The network is central to the firm's trading platform. The successful candidate will help ensure that global connectivity, colocation environments and data centre networks remain fast, resilient, observable and operationally efficient. The role offers broad exposure to a demanding network estate, spanning low latency trading infrastructure, global WAN links, data centre networking and colocation connectivity. The successful candidate will have real ownership of meaningful projects, from identifying improvements through to design, implementation and operational support. What the role involves Deploy, monitor, troubleshoot and manage network infrastructure across global data centres, colocation sites and WAN environments. Design new colocation deployments and improve connectivity, resilience and performance across existing colocation environments. Improve the design, performance and scalability of the firm's data centre network. Identify, recommend and implement network optimisations that improve speed, reliability and operational efficiency. Support planned maintenance activity, including migrations, expansions, hardware upgrades and software upgrades. Provide technical expertise and support to a high performance trading floor operating in a competitive market making environment. Ensure WAN connectivity is resilient, performant and effectively integrated across the firm's global data centre footprint. Contribute to capacity planning, traffic flow optimisation and long term network scalability. Advance the firm's approach to intelligent network automation, reducing manual effort and improving consistency. Tackle technical debt, simplify complex environments and improve the maintainability of network systems. Who the firm is looking for The ideal candidate is a strong network engineer with broad experience across enterprise and performance critical environments. They will be comfortable working across LAN and global WAN networks, troubleshooting complex issues and improving systems through automation and thoughtful design. Strong network and performance monitoring skills, with experience in network capacity planning. Experience working across LAN and global WAN environments. Experience with Cisco and Arista network equipment is preferred. Strong troubleshooting skills across network transport protocols, including TCP and UDP. Deep understanding of routing protocols, including OSPF and BGP. Strong knowledge of network protocols, including Multicast, Spanning Tree and HSRP. Experience with network automation and strong Python scripting skills are preferred. Experience with network monitoring and alerting systems. A belief that clear documentation is essential to successful project delivery. A strong improvement mindset, with the motivation to challenge complexity and push through friction. Apply now for an confidential conversation

Job Description Our client, a worldwide Health care technology solutions provider of EMR, Practice management & Patient engagement for Physician practices, Hospitals and Health care providers seeks an accomplished Salesforce Developer/Architect NOTE: THIS IS 100% REMOTE ROLE & ONLY W2 CANDIDATES. Position: Salesforce Developer/Architect (Job Id 1486) Location: Chicago IL (100% REMOTE) Duration: 3 Months + Strong Possibility of Extension AI-Augmented Salesforce Developer/Architect Role summary: Experienced Salesforce developers who use AI coding tools every day to design, build and ship faster, while keeping strong platform and architectural judgment. Requirements: 5+ years of hands-on Salesforce development: Apex, LWC, SOQL, Flow, and integrations (REST APIs, platform events) Daily use of AI coding tools such as Claude Code, Cursor, GitHub Copilot or Agentforce Vibes/Agentforce for Developers Able to critically review, test and refactor AI-generated code to production standards (security, governor limits, test coverage) Experience with Salesforce DX/CLI, Git-based source control and CI/CD pipelines Architecture experience: data model design, org strategy, and choosing between declarative and code solutions Nice to have: Agentforce/Einstein agent development, MCP integrations, Sales Cloud/CPQ or Revenue Cloud experience, Platform Developer II or Application Architect certification I'd love to talk to you if you think this position is right up your alley. If you're looking for rewarding employment and a company that puts its employees first, we'd like to work with you. We're driven, people driven. Bhupesh Khurana Technical Recruiter Email: Amerit Consulting is an extremely fast-growing staffing and consulting firm. Amerit Consulting was founded in 2002 to provide consulting, temporary staffing, direct hire, and payrolling services to Fortune 500 companies nationally; as well as small to mid-sized organizations on a local & regional level. Currently, Amerit has over 2,000 employees in 47 states. We develop and implement solutions that help our clients operate more efficiently, deliver greater customer satisfaction, and see a positive impact on their bottom line. We create value by bringing together the right people to achieve results. Our clients and employees say they choose to work with Amerit because of how we work with them - with service that exceeds their expectations and a personal commitment to their success. Our deep expertise in human capital management has fueled our expansion into direct hire placements, temporary staffing, contract placements, and additional staffing and consulting services that propel our clients' businesses forward. Amerit Consulting 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Applicants, with criminal histories, are considered in a manner that is consistent with local, state and federal laws.

Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

Job Description Job Overview We are seeking an experienced AI - DLC Technical Program Manager to drive AI-assisted and AI-native software development lifecycle (AI-DLC) initiatives. The ideal candidate will have strong technical expertise in application development, AI/LLMs, cloud engineering, and modern software delivery practices. This role requires someone who can bring business stakeholders, architects, developers, AI engineers, and domain experts together to accelerate software delivery through AI-driven development approaches. The candidate must be technically strong enough to actively participate in engineering discussions, drive rapid prototyping, and ensure solutions are evaluated, refined, and production-ready. Roles and Responsibilities Lead complex software development programs using AI-assisted and AI-native development lifecycle practices. Translate business objectives into clear requirements, technical constraints, success criteria, and executable deliverables. Facilitate collaborative development sessions involving business teams, AI engineers, developers, designers, and architects. Drive rapid prototyping, continuous evaluation, and short feedback loops to accelerate solution delivery. Actively participate in technical discussions related to application architecture, APIs, integrations, AI/LLMs, data, cloud, and security. Identify opportunities where AI can accelerate requirements, design, development, testing, and delivery processes. Establish AI evaluation frameworks, acceptance criteria, quality gates, risk management, and production-readiness standards. Balance development speed with engineering quality, security, compliance, and human validation. Set realistic expectations regarding prototype development versus production-grade implementation. Identify reusable AI-DLC frameworks, accelerators, development patterns, and best practices. Track program success through validated learning, working solutions, measurable business outcomes, and delivered value. Required Technical Skills Strong understanding of AI-assisted and AI-native Software Development Lifecycle (AI-DLC). Practical knowledge of LLMs, Generative AI, Agentic AI, RAG, and Context Engineering. Experience with AI development tools such as: Claude / Claude Code GitHub Copilot Cursor OpenAI / Codex Gemini Azure OpenAI Strong technical understanding of application architecture, APIs, integrations, cloud platforms, data engineering, and CI/CD. Knowledge of software testing, security, observability, AI evaluation, and production deployment. Experience driving rapid build-test-evaluate-refine development cycles. Required Experience and Qualifications 10+ years of experience managing complex software/application development programs. Demonstrated experience in AI-assisted or AI-native software delivery models. Strong technical background with the ability to collaborate closely with engineering teams. Experience managing cross-functional teams and senior stakeholders. Excellent communication, problem-solving, and decision-making skills. Ability to work effectively in ambiguous and fast-paced environments. Bachelor's or Master's degree in Engineering (BE/ME/BTech/MTech/BSc/MSc). Technical certifications across multiple technologies are desirable.

Job Description What they're looking for: Strong IT operations/leadership background. Industry background is flexible. GCP experience is a MUST. Strong understanding of cloud/SaaS environments and how the technology environment fits together Experience with cybersecurity, infrastructure, and IT implementations Someone who can think strategically, assess risk, and make technology recommendations aligned with the business Strong people management and communication skills Comfortable working cross-functionally and partnering with senior leadership Adaptable leader who can come in, assess the current environment, and identify areas for improvement Gemini/Google Enterprise experience is a big plus, particularly around development, licensing, enterprise implementation, and migrations They are not looking for someone who is purely technical, but they should be able to be hands-on. Management, strategy, and leadership are a major part of the role.

Job Description Front-Office Risk Data Quality Analyst Company Overview Business Integration Partners (BIP) is Europe's fastest growing digital consulting company and are on track to reach the Top 20 by 2030, with an expanding global footprint in the US (New York, Charlotte, Chicago, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society. BIP specializes in high-impact consulting services across multiple industries with 6,000 employees worldwide. Our domains include Life Sciences, Energy, Retail, and Financial Service businesses including Capital Markets, Insurance and Payments verticals, supplemented with Data & AI, Cybersecurity, Risk & Compliance, Change Management and Digital Transformation practices. We integrate deep industry expertise with business, technology, and quantitative disciplines to deliver high-impact results for our clients. With a strong presence across Healthcare, Life Sciences, Pharmaceutical, and MedTech industries, we partner with some of the world's most innovative organizations to solve mission-critical operational challenges through intelligent automation, AI-powered decision support, and scalable enterprise solutions. Position Summary Responsible for the design, implementation, and execution of data quality controls, reconciliation activities, operational reporting, and the investigation of data issues impacting batch runs on a Strategic Full Revaluation VaR platform. This role ensures the completeness, accuracy, and integrity of reporting risk data across batch runs. Responsibilities Execute data quality validation checks for daily batch-processing cycles. Run risk reporting scripts and generate operational, control, and management reports. Perform reconciliations between upstream, downstream, and reporting systems. Investigate front-office valuation data quality exceptions, reconciliation breaks, and unexplained variances. Analyse trends and identify recurring data issues requiring remediation. Partner with front-office and risk Business, Technology, Data Engineering, and Production Support teams to resolve defects. Validate fixes and support UAT and production implementation activities. Build and maintain manual and automated data quality reporting processes. Document findings, root causes, and remediation recommendations. Support regulatory, risk, and audit-related reporting requirements. Required Qualifications Strong data analysis and investigative skills. Strong written and verbal communication skills. Advanced SQL skills. Experience performing data reconciliation and data quality analysis. Experience within Market Risk, Global Markets, FRTB, VaR, SVaR, CCR, or P&L reporting environments. Strong Excel skills, including pivot tables, lookups, and complex data analysis. Ability to interpret large datasets and identify anomalies. Experience producing operational or management reports. Desired Qualifications Experience with Python and the automation of reporting processes. Experience with data warehousing and ETL concepts. Familiarity with Splunk and production-support tools. Knowledge of regulatory and risk-reporting processes. Benefits Choice of medical, dental, vision insurance. Voluntary benefits. Short- and long-term disability. HSA and FSAs. Matching 401k. Discretionary performance bonus. Employee referral bonus. Employee assistance program. 11 public holidays. 20 days PTO. 7 Sick Days. PTO buy and sell program. Volunteer days. Paid parental leave. Remote/hybrid work environment support. For more information about BIP US, visit Equal Employment Opportunity: It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.

Job Description Build the platform behind a fast-growing trading firm, with real ownership from day one. A global derivatives trading firm with a small, flat, engineering-led culture is growing their Platform Engineering team and want engineers who'd rather design and build infrastructure than maintain something someone else designed. You don't need any finance experience. If you've built serious cloud and Kubernetes platforms at a tech company, a SaaS business or a consultancy, you're exactly who they want to talk to. What you'll do Design, build and run cloud and Kubernetes platforms used by engineers and researchers across the firm Own architecture decisions on AWS, including EKS, IAM and networking, and help shape a hybrid-cloud setup Write reusable Terraform and build automation and tooling in Python Run deployments through GitOps (ArgoCD) Work with trading, quant research and low-latency engineering teams on what they need next Support what you build in production, including on-call What you'll bring Hands-on Kubernetes experience in production: you've run, upgraded and troubleshot clusters, not just deployed apps to them Strong AWS skills, ideally including EKS Terraform you've written yourself: modules and state management Real Python coding ability Solid Linux troubleshooting GitOps experience (ArgoCD or similar) 3+ years of experience Nice to have: GCP, on-prem Kubernetes, Spark or Kafka, GPU or ML infrastructure, Prometheus/Grafana, Jenkins or GitLab CI. Why this role Ownership: you'll propose and ship your own initiatives in a small team where your work is visible Breadth: your platform work will span cloud, Kubernetes, low-latency, quant research and data systems, rather than one narrow area Impact: your work is shared across desks, asset classes and regions, so it isn't stuck inside one team Culture: flat, low bureaucracy, startup-like, inside an established and profitable firm Flexibility: remote-first team, with Chicago hybrid available Location: Chicago or remote US (Central or Eastern time zones preferred) Apply directly for more details.

JOB SUMMARY: NORC at the University of Chicago is seeking a qualified Data Scientist I to join the Methodology and Quantitative Social Sciences department and support innovative research and analytics. The Data Scientist I works collaboratively with methodologists, researchers, statisticians, software developers, and subject matter experts throughout the research lifecycle, including study design, data collection, quality assessment, quantitative analysis, and dissemination of results. This role combines strong foundations in data management, research methodology, and computational social science to develop methodological and data science solutions that improve research, operational efficiency, and decision-making. The Data Scientist I will contribute to projects involving structured and unstructured data, survey data, administrative records, commercial data, text data, and other novel data sources. Responsibilities may include developing data pipelines, implementing data management approaches, maintaining analytical workflows, conducting analysis and creating data visualizations, and assisting in the writing and dissemination of results. The ideal candidate possesses strong social science research and data expertise, written and communication skills, R programming expertise, experience building reproducible analytical workflows, and an interest in applying advanced methods to solve complex research and business problems. Data Scientists are expected to manage multiple assignments, contribute to projects and proposals, stay current with emerging analytic tools, and work effectively in a collaborative, interdisciplinary environment. Location: This is a hybrid role based in our Chicago Loop office, with a minimum of six days per month in the office. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. DEPARTMENT: Methodology and Quantitative Social Sciences (MQSS) The Methodology and Quantitative Social Sciences (MQSS) department implements state-of-the-art methodologies and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Methodological and Quantitative Social Sciences department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for gathering, evaluating, and analyzing data from primary and secondary sources. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, analysis of clustered data, data visualization, use of novel data sources and technologies to improve data gathering, and building AI solutions that support NORC's research. The department collaborates with the Statistics and Data Science Department on areas of synergy and intersection and with all NORC subject matter departments, in addition to leading its own projects. RESPONSIBILITIES: Apply computational and machine learning methods to support survey research, evaluation studies, and other social science research initiatives Contribute to and review the methodological/analytical sections of reports, tables/graphics, presentations, dashboards, and other deliverables Assist with proposal and business development activities related to methodological, analytic, and/or study design tasks. Establish reproducible, quality assured analytic workflows; implement version control (Git), environment management, peer code review, automated testing, and validation checks. Develop robust data pipelines that integrate, transform, and analyze structured and unstructured data from multiple sources to support research and operational objectives. Design and implement data products, dashboards, applications, and automated tools that enable data-driven decision making. Write and implement R programs to extract/manipulate data, link complex datasets, and execute machine learning and statistical analyses. Present research papers at professional conferences and submit articles for publication in journals. Work with relational databases, cloud platforms, and large-scale computing environments to manage and analyze complex datasets efficiently. Uphold data disclosure limitation and data privacy best practices. Perform other duties as assigned. REQUIRED SKILLS: Bachelor's degree in computational social science, data science, computer science or a related quantitative field with social science emphasis. At least 4 years of relevant experience (graduate research, internships, and applied professional experience may be considered). Demonstrated proficiency developing production-quality code in R. Strong foundation in areas of social science research, analytic methods, data engineering, machine learning, and scientific methods of inquiry. Must be detail-oriented and quality-focused, with demonstrated written and oral communication skills Strong interpersonal communication, analytic capability, technical writing, problem identification and resolution, and task management Ability to work on multiple projects simultaneously, effectively organize and manage time, including ability to set priorities to meet all project, proposal, and administrative needs in a timely fashion Experience developing software, data pipelines, or analytical applications. Experience conducting statistical analysis and machine learning using real-world datasets. Experience working with Git and collaborative development workflows. Enthusiasm for teamwork and collaboration across disciplinary boundaries. Preferred Skills: Demonstrated experience programming in Python Experience analyzing survey, administrative, or other large-scale observational datasets, and/or working with longitudinal survey data. Experience with interactive data visualization and mapping libraries such as R Shiny, D3.js or other JavaScript data visualization libraries and HTML/CSS. Experience with large-scale data platforms such as Databricks, Spark, Hadoop, or Hive. Experience developing, evaluating, or deploying machine learning and AI solutions, including work with large language models, and cloud environments (e.g., AWS, Azure, GCP). SALARY AND BENEFITS: The pay range for this position is $90,000-$100,000. This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to: Generously subsidized health insurance, effective on the first day of employment Dental and vision insurance A defined contribution retirement program, along with a separate voluntary 403(b) retirement program Group life insurance, long-term and short-term disability insurance Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

Job Description Job Title: Infrastructure Cloud Architect Primary Location: Chicago, IL (Hybrid - 3 days onsite / 2 days remote) Position Type: Full-Time, Direct Hire Must Be Citizen or Green Card OVERVIEW: An Infrastructure Cloud Architect. This is a full-time, direct hire role in Chicago, IL, working a hybrid schedule of three days onsite and two days remote. This senior, hands-on technical leadership role exists to guide our client's Azure-first hybrid infrastructure transformation as they exit legacy data centers and expand their Azure footprint. This is an infrastructure-focused position - not application architecture or DevOps - spanning Azure, traditional enterprise infrastructure, networking, security, compute, storage, virtualization, resiliency, and governance. You'll set architectural direction while staying hands-on enough to design, build, troubleshoot, and support the infrastructure yourself. WHAT YOU BRING TO THE ROLE. (IDEAL EXPERIENCE) 10+ years of progressive experience across enterprise infrastructure, engineering, or architecture, with a strong foundation in traditional on-premises infrastructure that has evolved into Azure and hybrid cloud Deep, hands-on Microsoft Azure infrastructure experience, including significant Azure/on-premises hybrid-cloud work Strong Azure networking expertise: VNets, routing, DNS, ExpressRoute, private endpoints, firewalls, load balancing, and segmentation Solid understanding of networking and security dependencies across a complex hybrid environment Experience with compute, servers, virtualization (VMware, Azure VMware Solution), and storage architecture Working knowledge of identity, RBAC, security controls, and cloud governance Infrastructure as Code experience Proven infrastructure resiliency, troubleshooting, and root-cause analysis skills in large-scale, complex environments (scale and complexity matter more than industry) Ability to build architecture diagrams, standards, and patterns and clearly explain technical decisions to leadership A true hands-on track record - you can say "I designed it, I built it, I configured it, I supported it, I troubleshot it." Candidates whose experience is primarily coordinating migrations, managing implementation partners, or reviewing others' work are unlikely to be a fit Either a senior Infrastructure/Cloud Engineer ready to step into architecture, or a current Architect who has stayed close to the technology WHAT YOU'LL DO. (SKILLS USED IN THIS POSITION) Provide architectural direction and technical leadership for an Azure-first hybrid infrastructure transformation, including the exit of legacy primary data centers Help transition workloads to new colocation facilities located closer to Azure regions Leverage Azure VMware Solution (AVS) during the transition while gradually reducing VMware dependency Move additional workloads toward Azure IaaS Establish infrastructure standards, patterns, and governance for the future hybrid environment Personally design, build, configure, and support infrastructure across networking, security, compute, storage, and virtualization - roughly 60% architecture/strategy and 40% hands-on implementation and operational support in Year 1 Serve as a senior technical escalation point, joining critical incidents to quickly assess what changed, identify dependencies, determine where to start, and drive the technical investigation Develop and maintain architecture diagrams and documentation, and communicate technical decisions to leadership Participate in the on-call rotation (primary or secondary roughly every 6-7 weeks) for after-hours emergencies

Job Description About Photon Photon is a Digital Engineering and Digital Modernization company founded in 1999, partnering with leading global enterprises, including Fortune 500 organizations, to build and modernize digital platforms and experiences. Job Summary We are seeking an experienced Senior DevOps Engineer to own and manage infrastructure, CI/CD pipelines, and cloud operations. In this role, you will build secure, automated, and repeatable platforms that enable engineering teams to deliver software quickly, reliably, and safely. The ideal candidate will have strong expertise in cloud infrastructure, Terraform, Jenkins, Docker, automation, and infrastructure management, as well as a solid understanding of security, monitoring, and reliability best practices. Key Responsibilities Provision, configure, and manage cloud infrastructure on GCP and/or AWS using Terraform and infrastructure-as-code best practices. Design, maintain, and continuously improve CI/CD pipelines using Jenkins. Containerize applications using Docker and support container-based deployment workflows. Develop and maintain automation scripts using Bash, Python, or similar scripting languages to reduce manual operational tasks. Implement and maintain monitoring, logging, alerting, and incident response processes. Drive cloud security, access control, cost optimization, and infrastructure reliability improvements. Collaborate with development and QA teams to streamline build, testing, and release processes. Identify opportunities to improve infrastructure automation, deployment efficiency, and operational stability. Mentor team members and promote DevOps best practices across engineering teams. Required Skills and Qualifications 10+ years of experience in DevOps, Site Reliability Engineering (SRE), or infrastructure engineering. Bachelor's degree in Computer Science or equivalent. Expert-level hands-on experience with Terraform and infrastructure-as-code practices. Strong hands-on experience designing, developing, and maintaining Jenkins pipelines. Production-level experience managing cloud environments using GCP and/or AWS. Proficiency in Docker and containerization technologies. Strong scripting skills using Bash, Python, or similar languages. Solid understanding of networking concepts, cloud security, and access control. Strong experience with Linux administration. Understanding of infrastructure reliability, monitoring, and operational best practices. Preferred Qualifications Experience with Kubernetes and Helm for container orchestration and deployment management. Familiarity with observability and monitoring tools such as Prometheus, Grafana, and Datadog. Experience with GitOps practices and policy-as-code frameworks.

The Senior SAP Treasury Product Manager leads the technology vision and roadmap for Treasury within SAP S/4HANA, partnering closely with Finance and Corporate Treasury. This role translates business strategy into scalable solutions, designs and oversees delivery of global SAP Treasury capabilities, and drives initiatives in automation, analytics, and process optimization. The position guides cross-functional and vendor teams, manages stakeholder alignment, and supports continuous improvement across a global Treasury technology landscape. Responsibilities Own and evolve the SAP S/4 HANA Treasury product strategy, roadmap, and architecture to align with enterprise finance objectives. Translate Treasury business priorities into scalable SAP solutions and oversee design, configuration, testing, and deployment. Lead cross-functional and vendor teams to deliver global Treasury initiatives using Agile practices and clear product backlogs. Partner with Corporate Treasury and Finance leaders to identify automation, analytics, and process-optimization opportunities. Define and track product KPIs, measuring business value, adoption, and operational performance for Treasury solutions. Provide solution-architecture guidance, ensuring integrations and designs align with enterprise standards and controls. Establish governance and communication processes across global Finance, IT, Risk, and Audit stakeholders. Mentor and develop Treasury technology team members, fostering a culture of learning, collaboration, and continuous improvement. Required Skills SAP S/4 HANA Treasury configuration SAP Financial Supply Chain Management (FSCM) Treasury and cash management processes Product management and roadmap planning Solution architecture and design Agile delivery and backlog management Stakeholder and executive communication Global IT project leadership Financial risk and hedging concepts Data, analytics, and reporting for Treasury

Job Description Low Latency C++ Engineer (High-Frequency Market Making) Location: Chicago, IL Compensation: $200,000 - $300,000 Base + Highly Competitive Bonus Structure About the Firm We are representing a premier, globally recognized electronic market maker. Operating across a vast spectrum of asset classes, this firm provides liquidity to the world's most competitive exchanges. Their edge lies in their ability to process massive amounts of market data and update quotes in nanoseconds. They offer a purely engineering-driven environment where technologists have direct, visible impact. The Role We are seeking an elite C++ Developer to join the core market-making infrastructure team. You will be tasked with architecting and optimizing systems capable of ingesting massive bursts of L3 data and executing thousands of orders per second without degradation. This role is strictly focused on low-latency C++ systems engineering, hardware optimization, and network-level performance. Key Responsibilities Architect and optimize scalable, ultra-low-latency quoting engines and order management systems for global exchanges. Develop highly resilient, deterministic direct market access (DMA) gateways and feed handlers capable of processing massive tick data volumes. Eliminate latency at every level of the stack; from tweaking Linux kernel parameters and network protocols to optimizing CPU cache lines. Utilize kernel bypass (Solarflare, Mellanox) and hardware-acceleration concepts to minimize tick-to-trade latency. Work closely with high-frequency traders to translate complex liquidity-provision strategies into flawless, high-performance C++ code. Ideal Candidate Profile 5+ years of experience building mission-critical, high-throughput systems within a top-tier market making or HFT environment. Mastery of modern C++ (C+/17/20) with a strong emphasis on writing deterministic, zero-allocation code on the critical path. Deep expertise in low-level Linux systems programming, network programming (TCP/IP, UDP, Multicast), and concurrency. Familiarity with exchange microstructure, order book dynamics, and native binary protocols (e.g., OUCH, BOE). Highly analytical mindset, capable of operating autonomously to diagnose infrastructure constraints and deliver robust architectural solutions. Hit Apply Apply!

Job Description About the role DataAnnotation is looking for an experienced Computational Chemist - AI Trainer to design chemistry problems that today's leading AI models still get wrong. Models routinely propose impossible mechanisms and syntheses that no bench chemist would attempt. You bring the subject knowledge to catch these errors, and the tooling to prove them. This is a new and growing area for our company, focused on teaching AI to reason correctly rather than plausibly. The work combines deep chemical knowledge with strong coding skills: you design, test, and validate complex tasks yourself. Your task and your solution become the ground truth a model is scored against, so accuracy is the entire job. Advantages of contracting with us: You will be able to choose which projects you want to work on and when. You work on your own schedule, on your own computer, from the comfort of your own home. Projects are paid hourly up to $40 - $125 USD per hour, with bonuses on high-quality work. Responsibilities: Design complex chemistry tasks in your area of expertise. Define what a correct answer looks like and the standard a model has to meet. Test and validate the task yourself before you submit it. Write a step-by-step solution another researcher could reproduce. Design tasks a model cannot solve by replaying a known answer, and flag where its chemical reasoning breaks: impossible mechanisms, unsafe conditions, unphysical results, misread spectra. Work across computational and physical chemistry, cheminformatics, molecular modeling, and analytical workflows. Qualifications: Fluency in English (native or bilingual level). An active research background in chemistry or chemical engineering: advanced graduate student, postdoc, academic researcher, or industry practitioner. Strong coding skills. You write Python and work comfortably at a terminal as part of your research, not as a side interest. Familiarity with reproducible or containerized environments such as Docker is a plus. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.

Job Description Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Disability Claims & Underwriting Specialist Type: Contract Compensation: $80/hour Location: Remote Commitment: 20-40 hours/week Role Responsibilities Design realistic scenarios involving short- and long-term disability claims, elimination periods, own-occupation and any-occupation definitions, residual and partial disability, offsets, recurrent disability, and claim duration management. Create work products such as claim determinations, benefit calculations, medical and vocational evidence summaries, transferable-skills analyses, return-to-work plans, and appeal decisions. Write "golden" reference responses at experienced disability-professional quality. Grade AI-generated responses against structured rubrics for definitional accuracy, evidentiary support, benefit-calculation correctness, and procedural fairness. Identify misapplied disability definitions, unsupported functional conclusions, missed offsets, incorrect benefit math, and failures to document the administrative record. Provide written feedback the research team uses to improve model behavior. Qualifications Must-Have 2+ years of professional experience in disability claims adjudication, disability underwriting, vocational rehabilitation, or leave and absence management. Experience with at least one program type, such as group short-term disability, group long-term disability, individual disability income, statutory disability, or life waiver of premium. Understanding of contract definitions, elimination periods, offsets, pre-existing-condition provisions, and maximum benefit periods. Ability to weigh medical, occupational, and financial evidence and articulate a defensible determination with a documented rationale. Excellent written analysis, balanced judgment, and high attention to detail. Ability to distinguish claim adjudication from treating-provider clinical decisions and from formal legal advice. Preferred CRC , CDMS , CCM , CPDM , RN , or comparable clinical or vocational credential. Experience with ERISA administrative records, appeals, or litigation support. Individual disability income underwriting, including occupation class and financial underwriting. Social Security, workers compensation, or other-income offset coordination experience. Experience with FMLA, state leave programs, or ADA accommodation interaction. Start Date Immediately ; applications reviewed on a rolling basis. Compensation & Legal Hourly contractor , Paid weekly via Stripe Connect . Application Process (Takes 20-30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Data Center Engineer Trading Infrastructure Location: Chicago, IL About the opportunity I'm partnered with a technology-driven trading firm that operates some of the most sophisticated low-latency and high-performance computing infrastructure in the industry. They are looking for a Data Center Engineer to join a global infrastructure team responsible for the physical Data Center environments that power their trading operations. This is a hands-on, project-oriented role with real ownership from start to finish. You'll work with cutting-edge server, network, and storage technology, and play a central part in keeping mission-critical infrastructure running at its best. What you'll do Maintain data center infrastructure including power, cooling, hardware, and cabling to ensure maximum availability Plan and execute new hardware installations, covering physical placement, power and cooling requirements, and structured cabling Rack, cable, and configure data center hardware including servers, network equipment, and storage devices Perform hardware troubleshooting and break-fix across data center infrastructure Handle initial configuration of network devices and Linux servers via CLI and zero-touch provisioning Manage colocation provider and vendor relationships, and oversee onsite contractors Maintain accurate inventory, documentation, and capacity planning across space, power, cooling, and cabling Occasional travel to other data center sites may be required What you'll bring 3+ years of data center experience Prior experience in a low latency trading environment (or similar) Strong understanding of data center infrastructure including electrical, power, cooling, liquid cooling, and safety Knowledge of cabling standards and media types, with an exceptionally high standard for cable management Experience with hardware repair across servers, network devices, and storage Hands-on experience configuring Cisco and Arista devices via CLI Comfort working at the Linux command line for basic troubleshooting and script execution Ability to understand basic network designs and topologies Programming experience such as Python is a plus Must be able to meet physical requirements including working at height and lifting up to 50 lbs How to apply Hit apply or reach out to me directly! Please note this role is open to US citizens and permanent residents only. Unfortunately visa sponsorship is not available at this time.

Job Description Job Overview:- We are seeking an experienced Product Analytics Consultant with hands-on expertise in Amplitude Analytics or similar product analytics platforms to support our end client in the healthcare domain. The ideal candidate will work closely with product managers, business stakeholders, and engineering teams to understand user behavior, define meaningful KPIs, develop analytics dashboards, and generate actionable insights that support data-driven product decisions. The candidate should have strong experience in product analytics, event-based tracking, funnel analysis, cohort analysis, retention measurement, and dashboard development. Key Responsibilities:- - Conduct discovery sessions with product managers, business stakeholders, and engineering teams to understand business objectives and product requirements. - Understand user journeys, product features, application workflows, and user interactions. - Translate business requirements into meaningful KPIs, metrics, reports, and analytical dashboards. - Build and maintain product analytics dashboards using Amplitude or comparable analytics platforms. - Analyze product adoption, feature engagement, user journeys, workflow conversions, drop-offs, and retention. - Define events, event properties, user attributes, and filters required for product analytics. - Review existing event tracking and identify missing, duplicate, or inconsistently implemented events. - Recommend best practices for automatic event capture, manual event tracking, and event metadata enrichment. - Develop reusable charts, reports, cohorts, and dashboard templates. - Validate analytics results against application data, business reports, and other trusted sources. - Investigate discrepancies in event volumes, user counts, conversion rates, and reporting results. - Document KPI definitions, calculation logic, data sources, assumptions, and analytical processes. - Ensure compliance with applicable data privacy, security, access-control, and data-classification requirements. - Present analytical findings and recommendations to technical and non-technical stakeholders. - Provide training, demonstrations, and knowledge transfer to product and engineering teams. Required Skills & Qualifications:- - 3+ years of experience in Product Analytics, Digital Analytics, Business Intelligence, or a related field. - 3+ years of hands-on experience with Amplitude Analytics or comparable product analytics platforms. - Experience with one or more of the following platforms: - Amplitude Analytics - Mixpanel - Pendo - Heap - Google Analytics (GA4) - Adobe Analytics - PostHog - FullStory - Contentsquare - Strong understanding of product analytics concepts, including: - Event-Based Tracking - Funnel Analysis - Cohort Analysis - Retention Analysis - User Segmentation - Conversion Measurement - Feature Adoption - User Engagement Analysis - Experience building dashboards, charts, reports, and analytical templates. - Ability to define KPIs and translate business requirements into analytical solutions. - Experience reviewing event taxonomies and application instrumentation requirements. - Experience validating analytics data and troubleshooting reporting discrepancies. - Strong communication and stakeholder management skills. - Ability to collaborate with product, engineering, QA, data, and business teams. Preferred Qualifications:- - Previous experience working with healthcare applications, healthcare technology, or healthcare-related products. - Experience supporting multiple products or application teams. - Familiarity with web, mobile, embedded, or cloud-based applications. - Understanding of application instrumentation, SDKs, automatic event capture, and event enrichment. - Knowledge of data governance, privacy-aware analytics, and access controls. - Experience working in enterprise or regulated environments. - Familiarity with SQL, APIs, spreadsheets, or other tools used for data validation. - Amplitude certification or equivalent product analytics training. Expected Deliverables:- - Product analytics dashboards and recurring reports. - KPI and metric definition documents. - Event and property requirements for identified use cases. - Event-to-KPI mapping documentation. - Reusable charts, cohorts, filters, and dashboard templates. - Tracking and instrumentation gap assessments. - Data quality validation reports. - Analytics implementation guidance and user documentation. Interested candidates with relevant Product Analytics experience and hands-on expertise in Amplitude or similar platforms are encouraged to apply.

Job Description We're partnered with a quantitative trading firm looking to add a Trade Support Engineer to its Chicago team, supporting the technology and operational infrastructure behind live trading. This role sits directly on the front line of the trading environment, working closely with traders, developers, quantitative researchers, exchanges, and clearing partners. You'll be responsible for keeping production systems stable throughout the trading day, troubleshooting issues in real time, and improving operational processes through scripting and automation. What you'll do: • Monitor live production trading systems and respond to alerts and incidents in real time • Troubleshoot and resolve application, operating system, trade, and position issues • Deploy and configure proprietary and third-party trading applications • Investigate trade breaks and support trade capture, reconciliation, and other operational workflows • Build scripts and tooling to automate repetitive support and troubleshooting processes • Work closely with traders, developers, exchanges, clearing firms, and technology vendors • Support risk and compliance reporting and occasionally assist with trading desk or datacenter hardware • Participate in early market-open coverage and an on-call / weekend rotation Looking for: • 2+ years of experience in Trade Support, Trade Operations, Application Support, or a similar production-support environment • Strong hands-on experience with both Linux and Windows systems • Scripting experience with Python, PowerShell, Bash, or similar technologies • Working knowledge of SQL for investigating trade, position, and reference data • Strong troubleshooting skills across applications and operating systems • Ability to diagnose and resolve production issues calmly in time-sensitive environments • Strong communication skills and experience working across technical and business teams • Ability to work on-site in Chicago and participate in early-hours and on-call coverage • Unrestricted U.S. work authorization without current or future sponsorship requirements

Job Description Our client's Platform Engineering group speeds up how technology teams work by offering self-service tools, services, documentation and support. The team designs, builds and runs the core runtime platforms that the firm's software relies on, with the goal of simplifying development, creating a consistent technical foundation across regions, and giving engineers what they need to innovate quickly. This global team sits between application development and production operations, removing friction so engineering teams can deliver smoothly and keep moving forward. What You'll Do: Build, run and maintain highly available, high-performance on-prem Kubernetes clusters Deploy and manage containerized applications on Kubernetes with in-house tooling Work with engineering teams to design and build CI/CD pipelines for on-prem environments Monitor, debug and tune clusters for reliability and performance Apply on-prem Kubernetes security best practices, including RBAC, network policies and secrets management Write automation to manage infrastructure and keep environments consistent across clusters Optimize the storage and networking setups that support the clusters Own cluster upgrades, backups and disaster recovery planning Keep up with Kubernetes and on-prem infrastructure developments and bring useful updates into the environment What You'll Bring: 3+ years of hands-on Kubernetes experience, ideally on-prem Deep knowledge of containerization and orchestration Experience designing and building CI/CD pipelines Strong grasp of Kubernetes security best practices Solid scripting skills (e.g. Bash, Python) Working knowledge of Kubernetes storage and networking Able to diagnose and fix complex problems quickly Strong communication and collaboration skills

Job Description We are looking for an experienced Linux Systems Engineer to join a high-performance technology team within a high-frequency trading firm. The role will focus on building, maintaining and optimizing bare-metal Linux infrastructure, with an emphasis on ultra-low-latency performance, hardware optimization and system reliability. The ideal candidate will have deep Linux engineering experience, strong knowledge of operating system internals and hands-on experience working with physical server hardware in performance-critical environments. Key Responsibilities Design, build and maintain high-performance bare-metal Linux infrastructure. Provision, configure and manage physical servers, including OS installation, BIOS, firmware and hardware configuration. Optimize Linux systems for low latency, high throughput and minimal system jitter. Perform kernel tuning, CPU isolation, IRQ affinity, NUMA optimization and CPU scheduling configuration. Analyze and troubleshoot hardware, kernel and operating system performance issues. Work with network engineering teams to optimize low-latency Linux networking. Automate infrastructure deployment, configuration and management. Develop tooling and scripts to improve infrastructure performance and operational efficiency. Work closely with developers, quantitative researchers and trading teams to support critical trading infrastructure. Essential Skills & Experience Strong commercial experience as a Linux Systems Engineer or Linux Infrastructure Engineer. Extensive hands-on experience building and managing Linux on bare-metal physical servers. Deep understanding of Linux internals, kernel architecture and operating system behavior. Experience with Linux performance tuning and low-latency optimization. Strong knowledge of CPU architecture, NUMA, memory management, interrupts and processor scheduling. Experience with server hardware, BIOS/UEFI and firmware configuration. Strong troubleshooting and performance analysis capabilities. Proficiency in Bash and/or Python scripting. Experience with infrastructure automation and configuration management. Desirable Experience Experience optimizing Linux for microsecond or sub-microsecond latency. Knowledge of Solarflare, Xilinx or NVIDIA/Mellanox network cards. Experience with DPDK, OpenOnload, RDMA or kernel bypass technologies. Understanding of TCP/IP, UDP, multicast and high-performance networking. Familiarity with Intel Xeon and AMD EPYC architectures. Experience with PTP, hardware timestamping and colocated data center environments.

Job Description Azure Cloud Engineer Chicago, IL 60601 Hybrid (3 Days Onsite) 6+ Months Contract Locals Only! In-Person Interview Required! Skills: Azure IaaS/PaaS, Cloud Infrastructure, Networking, Security, Containers, Cloud Architecture & Migration.

Job Description Oracle Developer Hybrid in Chicago 12+ Month Contract Top Skills Details • Strong Oracle Development • Oracle tools and technologies, including SQL, PL/SQL, Oracle Forms and Oracle Reports. • Knowledge of Java, JavaScript and other programming languages. Stored Procedures Key Responsibilities • Oracle application/database development • PL/SQL development • Stored procedure development and maintenance • Data modeling and schema design • Query tuning and performance optimization • Support application teams with database changes • Participate in Oracle-to-Azure SQL migration efforts • Assist with cloud-based database design and implementation Qualifications: • A Bachelor's degree in Computer Science, Information Technology or a related field. • 5+ years of experience in Oracle development or software development roles. • Demonstrable experience with Oracle database development, manual and automated. • Proficiency in Oracle tools and technologies, including SQL, PL/SQL, Oracle Forms and Oracle Reports. • Knowledge of Java, JavaScript and other programming languages. • Strong understanding of software development methodologies and best practices. • Quick problem-solving and analytical skills with attention to detail.

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

Job Description About the Opportunity We are partnering with a leading quantitative trading firm seeking an experienced Storage Infrastructure Engineer to join its Data Engineering Infrastructure team in Chicago. This is a hands-on engineering role focused on building, scaling, and maintaining the large-scale storage and data infrastructure supporting high-frequency trading and quantitative research operations. The position involves working directly with on-premises infrastructure, Linux systems, distributed storage technologies, and enterprise storage platforms. As the firm's data requirements continue to grow, this engineer will contribute to the performance, reliability, and scalability of its underlying storage environment. Key Responsibilities Design, deploy, and operate large-scale data storage infrastructure, including Hadoop, enterprise storage, and S3-compatible platforms. Build, maintain, and scale on-premises storage systems supporting data-intensive workloads. Tune Linux systems for I/O throughput, performance, and reliability. Automate infrastructure configuration and deployment using Ansible, Puppet, or similar automation tools. Implement monitoring and observability using Prometheus and related technologies. Partner with engineering teams to deliver reliable, well-architected data solutions, with a focus on storage and Kafka. Contribute to storage architecture, capacity planning, and infrastructure scalability. Work with distributed storage technologies and support the continued development of the firm's data infrastructure. Required Skills & Experience 5+ years of experience in systems engineering, with a strong focus on data storage infrastructure. Strong Linux fundamentals, including debugging, troubleshooting, and performance tuning for I/O throughput. Hands-on experience building, implementing, operating, or scaling storage systems. Experience working with on-premises infrastructure and distributed storage environments. Hands-on experience with Ansible and Puppet for configuration management and automation. Familiarity with open-source, S3 API-compliant, and enterprise storage technologies. Working knowledge of the Hadoop ecosystem, including YARN. Experience with Java and Python. Experience with Prometheus-based monitoring and alerting. Familiarity with Kubernetes. Comfort working with AI-assisted development tools in an enterprise environment.

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

Job Description We're partnering with an established quantitative trading firm hiring an engineer to help build and improve its internal Kubernetes platform. The team develops the infrastructure and tooling that engineering teams rely on to deploy and run critical applications. You'll take ownership of production clusters, automate platform operations, and make it easier for developers to deliver reliable software in an on-premises environment. What you'll do: • Build, operate, and scale Kubernetes clusters across on-premises infrastructure • Develop automation for provisioning, application deployment, and cluster maintenance • Work with developers to improve CI/CD pipelines and simplify deployment workflows • Investigate performance and reliability issues across containers, networking, and storage • Strengthen monitoring and alerting to identify problems early and improve platform visibility • Manage cluster upgrades, recovery procedures, and backup processes • Improve platform security through access controls, network policies, and secrets management Looking for: • 3+ years of hands-on Kubernetes experience, ideally including on-premises environments • Strong understanding of containers and production infrastructure • Experience automating infrastructure tasks using Python, Bash, or similar languages • Familiarity with CI/CD tooling and application deployment processes • Working knowledge of Kubernetes networking, storage, and security • Ability to troubleshoot complex production issues and drive improvements through to completion • Strong communication skills and experience partnering with software engineering teams

Job Description About our client Our client is the next-generation payment service provider revolutionizing global financial infrastructure with stablecoins, AI-driven fraud prevention, and instant settlement. They enable businesses to grow faster with instant settlement, fraud & chargeback indemnity, global pay-ins, multi-currency FX, and unified payouts. Founded in 2023, the company serves marketplaces, fintechs, remittance providers, gaming platforms, and ecommerce merchants worldwide. Since their seed round in 2024, they have achieved 23x revenue growth and scaled to multi-billion-dollar annual transaction volume. In response to this growth, the company announced a $25M Series A in October 2025, led by Pantera Capital, CMT Digital, Coinbase Ventures, Jump Crypto, and Reciprocal Ventures, accelerating their mission to power the world's fastest-moving businesses with innovative, reliable global payments. Our client is proudly headquartered in Chicago, IL. About The Role We're looking for a Senior Software Engineer to help build the core infrastructure powering global payments. You'll design and implement systems that process billions of dollars in transactions, working across the payment orchestration layer, merchant APIs, and real-time settlement engine. This is a high-impact role where your code ships to production quickly and handles real money from day one. You'll collaborate closely with Product to shape what we build, with fellow engineers on how we build it, and have significant ownership over the systems you create. What You'll Do Build Core Payment Infrastructure Design and implement payment processing systems that handle high throughput and strict reliability requirements Build APIs and SDKs that merchants use to integrate the platform into their own Develop fraud detection and risk management features using real-time data analysis Scale Our Platform Architect systems for performance, reliability, and observability at scale Optimize database queries, caching strategies, and service communication patterns Instrument services for monitoring, alerting, and debugging production issues Ship Product Features Work end-to-end on features from technical design through deployment and iteration Collaborate with Product and Design to translate requirements into elegant technical solutions Balance speed of delivery with code quality and long-term maintainability Improve How We Work Contribute to technical decisions around architecture, tooling, and best practices Mentor other engineers through code review, pairing, and knowledge sharing Help shape engineering culture as the team grows What We're Looking For 5+ years of professional software engineering experience Strong proficiency in TypeScript and Node.js; experience with React is a plus Deep understanding of REST API design, relational and document databases (especially MongoDB), and distributed systems concepts Experience building systems that handle high transaction volumes or strict correctness requirements Comfortable with cloud infrastructure (AWS, GCP, or similar) and containerized deployments Track record of shipping and maintaining production systems Clear communicator who can discuss technical tradeoffs with engineers and non-engineers alike Bonus: Experience in payments, fintech, or blockchain/crypto What's on offer Competitive base salary plus an equity grant, allowing you to share in the long-term success of the company. You will also have access to a wide array of benefits, including health and wellness benefits, 401(k) savings plan, and flexible time off. Join the team rewriting how money moves worldwide, and become a driving force in the $194 trillion cross-border payments market.

Job Description Role Summary We are seeking an experienced SAP Solution Architect to lead enterprise transformation programs for global Pharmaceutical and Life Sciences clients. This leadership role combines SAP architecture expertise, consulting advisory capabilities, stakeholder management, and business transformation leadership. Responsibilities Lead SAP S/4HANA transformation and modernization engagements for pharma clients. Define enterprise SAP architecture strategy, target-state architecture, and implementation roadmaps. Provide architecture leadership across SAP BTP, HANA, Fiori, Integration Suite, Datasphere, and Analytics solutions. Provide architecture directions on how SAP modules and external third-party or legacy system communicate via APIs, middleware etc Partner with client executives and business stakeholders to identify transformation opportunities. Lead solution assessments, architecture reviews, and governance forums. Ensure solutions comply with architectural principles, corporate security policies, and regulatory guidelines Drive pre-sales, proposals, capability building, and thought leadership initiatives. Guide delivery teams and ensure successful implementation outcomes. Mandatory Qualifications 12+ years of SAP experience with 5+ years in Solution/Enterprise Architecture roles. Mandatory Pharmaceutical or Life Sciences industry experience. Mandatory consulting experience in a client-facing advisory or transformation role. Strong expertise in SAP S/4HANA, SAP BTP, SAP HANA, SAP Fiori, and SAP Integration Suite. Experience leading large-scale global transformation programs. Excellent executive stakeholder management and communication skills. Preferred Qualifications Experience with SAP Datasphere, BW/4HANA, and SAP Analytics Cloud. Experience in SAP BTP, Integration Suite, SAP Basis, Cloud Infrastructure, APIs Cloud integration experience across Azure, AWS, or GCP. TOGAF or equivalent architecture certifications. Experience managing distributed global teams. Why Join Lead strategic transformation programs. Influence enterprise technology decisions. Work with leading pharmaceutical organizations globally. Location Chicago, USA

Job Description We are partnered with a leading technology-driven firm in Chicago looking to add a strong Software Engineer to a growing platform engineering team. This is a highly technical engineering role focused on building and improving large-scale, performance-sensitive systems used across the organization. What You'll Work On Designing and building complex distributed systems Developing high-performance software in C++ and/or Rust Improving the scalability, reliability, and performance of core platforms Solving challenging systems and infrastructure problems Building tools and services used by highly technical internal users Working across different layers of the technology stack Collaborating with engineers and technical stakeholders on system design and architecture What They're Looking For Strong professional experience with C++ or Rust Distributed systems or large-scale systems experience Strong CS and software engineering fundamentals Experience with performance-sensitive or systems-level engineering Platform, infrastructure, HPC, or backend engineering experience Strong communication and problem-solving skills This is a strong opportunity for someone who enjoys technically challenging systems work and wants to have significant ownership over foundational engineering problems.

Job Description Job Title: DevOps Engineer IV Location: Chicago, IL (100% Onsite) Employment Type: Contract Position Overview We are seeking an experienced Senior DevOps Engineer with strong hands-on expertise in AWS Cloud Infrastructure, Terraform, Kubernetes/EKS, Datadog, and CI/CD automation to support enterprise-level cloud platforms and production environments. The ideal candidate will have extensive experience designing, deploying, maintaining, and troubleshooting AWS infrastructure, developing reusable Terraform modules, managing containerized applications, and implementing monitoring and observability solutions. This position requires a technically proficient, hands-on engineer who can independently resolve complex production issues, improve infrastructure reliability, automate operational processes, and collaborate with cross-functional engineering teams. The successful candidate will play a critical role in ensuring high availability, scalability, security, and operational efficiency across enterprise cloud platforms. Key ResponsibilitiesAWS Cloud Infrastructure & Production Support Manage, maintain, and optimize enterprise-scale AWS cloud infrastructure supporting business-critical applications. Troubleshoot complex production issues across AWS services, including EC2, ECS, EKS, Lambda, S3, DynamoDB, DocumentDB, IAM, and networking. Ensure the availability, performance, scalability, and security of AWS-hosted applications and infrastructure. Investigate production incidents, perform root-cause analysis, and implement long-term corrective solutions. Support cloud infrastructure capacity planning, upgrades, maintenance, and performance optimization. Implement AWS operational best practices for monitoring, security, reliability, and cost management. Collaborate with application development, infrastructure, and operations teams to improve production stability. Terraform & Infrastructure as Code (IaC) Design, develop, implement, and maintain AWS infrastructure using Terraform. Build reusable Terraform modules and standardized infrastructure configurations. Manage Terraform state files, resource dependencies, execution plans, and module versioning. Troubleshoot infrastructure drift, configuration issues, and deployment failures. Automate infrastructure provisioning and configuration across development, testing, staging, and production environments. Integrate Terraform workflows with CI/CD pipelines for automated infrastructure deployment. Participate in infrastructure code reviews and contribute to documentation, standards, and best practices. Ensure infrastructure changes are deployed securely and consistently through controlled processes. Kubernetes, EKS & Container Management Manage and support production Kubernetes and Amazon EKS environments. Deploy, configure, monitor, and troubleshoot containerized applications using Docker, Kubernetes, and AWS ECS/EKS. Develop and maintain Kubernetes manifests, Helm charts, and deployment configurations. Support Kubernetes cluster administration, upgrades, autoscaling, and workload optimization. Troubleshoot container networking, ingress controllers, service discovery, load balancing, and IAM/RBAC integration. Investigate and resolve production incidents involving containerized applications and distributed systems. Implement container orchestration best practices to improve reliability, scalability, and deployment efficiency. Support automated application deployments using GitOps and CI/CD methodologies. Monitoring, Observability & Incident Management Administer and maintain enterprise monitoring and application performance management (APM) solutions, particularly Datadog. Develop and optimize monitoring dashboards, alerts, log management configurations, and application performance metrics. Maintain monitoring integrations with BigPanda and Configuration Management Database (CMDB) systems. Define and implement alerting standards for production environments. Monitor application availability, system health, infrastructure performance, and latency. Develop logging and indexing strategies to improve visibility and troubleshooting capabilities. Investigate production alerts, system outages, and performance issues. Collaborate with DevOps, development, and problem management teams to resolve incidents and improve operational reliability. Create reporting dashboards to track system stability, performance, availability, and cloud infrastructure costs. CI/CD, Automation & DevOps Engineering Design, implement, maintain, and optimize automated CI/CD pipelines. Work with Jenkins, GitHub Actions, GitLab CI, Harness, or similar deployment automation tools. Automate infrastructure provisioning, application deployments, and configuration management. Develop automation scripts using Python, Bash, TypeScript, JavaScript, or other relevant technologies. Utilize Git-based source control, branching, merging, and repository management practices. Support configuration management using Ansible and AWS CloudFormation. Improve deployment processes, reduce manual intervention, and enhance operational efficiency. Support production releases, infrastructure upgrades, and change management activities. Technical Leadership & Collaboration Act as a senior technical resource for complex AWS, Terraform, Kubernetes, and production infrastructure issues. Independently troubleshoot critical production incidents and implement sustainable solutions. Collaborate with engineering, security, infrastructure, and application development teams. Mentor and provide technical guidance to junior and mid-level engineers. Develop technical documentation, operational runbooks, troubleshooting procedures, and infrastructure standards. Recommend improvements to cloud architecture, automation, monitoring, and platform reliability. Communicate technical risks, recommendations, and solutions effectively to engineering teams and leadership. Required QualificationsProfessional Experience 10+ years of overall Information Technology experience. 7+ years of hands-on experience in DevOps Engineering, Site Reliability Engineering (SRE), Platform Engineering, or Cloud Infrastructure. 5+ years of hands-on experience supporting and troubleshooting AWS production environments. 5+ years of experience designing and developing Terraform-based infrastructure. 5+ years of experience working with containerized applications and environments. 3+ years of hands-on experience managing Kubernetes or Amazon EKS in production. Technical Skills - Must Have 1. AWS Cloud Infrastructure Extensive hands-on experience with AWS production infrastructure and cloud operations. Strong knowledge of EC2, ECS, EKS, Lambda, S3, DynamoDB, IAM, and AWS networking. Experience troubleshooting distributed cloud applications and complex infrastructure issues. Understanding of AWS serverless architecture, CloudFormation, security, monitoring, and operational best practices. 2. Terraform & Infrastructure Automation Advanced hands-on experience developing Terraform configurations and reusable modules. Strong understanding of Terraform state management, execution plans, resource dependencies, and infrastructure drift. Experience provisioning and managing AWS infrastructure directly using Terraform. Ability to troubleshoot complex Terraform deployment issues and implement infrastructure automation. Experience integrating Terraform with CI/CD workflows. 3. Kubernetes / EKS & Docker Strong experience with Kubernetes, Amazon EKS, and Docker in production environments. Hands-on knowledge of Helm, kubectl, Kubernetes manifests, and cluster administration. Experience with workload deployments, autoscaling, networking, ingress, IAM/RBAC, and troubleshooting. Ability to manage production container platforms and resolve infrastructure-related incidents. 4. Datadog & Observability Hands-on experience with Datadog for infrastructure monitoring, application performance monitoring, and log management. Experience creating monitoring dashboards, alerts, and performance metrics. Strong understanding of production incident response, root-cause analysis, and system reliability. Knowledge of monitoring integrations and alert management practices. 5. CI/CD & Automation Experience with Jenkins, GitHub Actions, GitLab CI, Harness, or equivalent CI/CD tools. Strong knowledge of Git, source control, and automated deployment processes. Experience with infrastructure automation, scripting, and configuration management. Familiarity with Ansible and AWS CloudFormation. Additional Technical Knowledge Experience with TypeScript and JavaScript. Understanding of AWS Cognito, Couchbase, and DocumentDB. Familiarity with Windows Server and IIS. Experience monitoring Docker containers and Kubernetes workloads. Strong knowledge of systems administration . click apply for full job details

Job Description Our client a leading quantitative trading firm that is continuing to invest heavily in its engineering organization, specifically across its low-latency trading infrastructure. This team is focused on building and optimizing the core systems that power real-time trading across global markets, with a strong emphasis on performance, scalability, and reliability. Engineers work closely with traders and researchers to develop highly efficient, fault-tolerant systems that operate at significant scale, where even small improvements in latency or throughput can have meaningful impact. What you'll do: • Design and optimize low-latency infrastructure for market data and order execution • Build fault-tolerant, real-time systems operating at scale • Profile and improve performance across latency-critical code paths • Work closely with traders and researchers on production systems Looking for: • Strong experience with modern C++ in performance-sensitive environments • Solid systems fundamentals (Linux, networking, CPU/memory) • Experience with low-latency or distributed systems is a plus • High ownership and strong problem-solving ability

Job Description Solution Architect - Digital Asset Management (DAM) / Content Supply Chain Work Arrangement: Onsite highly preferred; exact site & attendance requirements to be confirmed Platform Preference: Aprimo DAM preferred; Adobe DAM experience acceptable for consideration Current Project Phase: Discovery, architecture blueprinting, proof-of-concept, requirements-gap analysis, and scope definition Purpose: Lead the architectural definition of a major enterprise DAM and Content Supply Chain initiative. Establish the foundation for how digital assets and content capabilities will be managed, integrated, governed, and expanded across the enterprise. Overview Client is seeking a senior Solution Architect to lead the end-to-end solution definition for its Digital Asset Management (DAM) and Content Supply Chain initiative. The immediate assignment focuses on discovery, architectural blueprinting, proof-of-concept evaluation, migration assessment, identification of requirements gaps, and definition of the minimum viable product (MVP) and longer-term platform scope. The main MVP implementation is planned for the following project year. This position is therefore focused initially on architecture and technical definition rather than production implementation or detailed API and ingestion development. The Solution Architect will own the overall solution perspective, define how DAM capabilities fit into the broader enterprise ecosystem, and determine the architectural approach for current upstream integration requirements. The architect will also assess existing asset repositories and capabilities, define future migration considerations, and establish a scalable architecture that can support downstream content distribution in subsequent phases. The DAM platform has not yet been selected. Aprimo is currently preferred, while candidates with strong Adobe DAM architecture experience may also be considered. This is a senior architecture ownership position. The Tech Lead / Engineering Lead will work under the architect's technical direction, supporting detailed technical design, proof-of-concepts, and subsequent implementation and release activities. Objectives 1. Establish the End-to-End DAM and Content Supply Chain Solution Blueprint. Lead architecture discovery and develop the target solution blueprint for DAM and Content Supply Chain initiative. Define the major solution components, capability boundaries, integration relationships, metadata and governance considerations, and enterprise architecture dependencies in collaboration with Product, BTA, enterprise architecture, security, and engineering stakeholders. Clearly distinguish the capabilities required for the initial MVP from those intended for subsequent phases and document significant design alternatives and technical decisions. Success will be measured by stakeholder acceptance of the proposed architecture blueprint, resolution or documented disposition of priority architectural questions, and agreement on the initial MVP architectural scope. 2. Evaluate DAM Platform Options and Define the Preferred Technical Direction. Support technical evaluation of Aprimo and Adobe DAM solutions against agreed business requirements, enterprise architecture standards, integration needs, and future scalability expectations. Assess relevant platform capabilities, customization implications, technology dependencies, architectural constraints, and potential migration considerations without assuming that the final product decision has already been made. Lead or guide focused technical proof-of-concepts where additional evidence is required and document the implications of each platform choice for the overall solution. Success will be measured by completion of agreed platform evaluation deliverables, documented technical trade-offs, and an architecture recommendation or decision record accepted by the responsible stakeholders. 3. Define the Upstream Integration and Migration Architecture. Establish the high-level architectural approach for integrating upstream content sources and enterprise capabilities with the future DAM solution. Assess existing assets, repositories, metadata structures, content workflows, and relevant migration dependencies, including systems such as SharePoint, Amazon S3, and Dropbox where applicable. Define the conceptual integration patterns, migration considerations, system boundaries, and governance requirements needed to support the agreed MVP while deferring detailed production API and ingestion implementation to the appropriate delivery phase. Success will be measured by acceptance of the upstream integration architecture, completion of the agreed migration assessment. 4. Define the MVP Roadmap and Scalable Future-State Architecture. Consolidate discovery findings, proof-of-concept results, requirements gaps, and architectural dependencies into an actionable MVP technical roadmap. Establish the future-state architectural principles needed to support enterprise scalability, security, content rights, lifecycle management, and eventual downstream distribution to systems such as GMA, MCDP/Braze, Digital Menu Boards/Coates, kiosks, and POS. Clearly distinguish immediate upstream integration priorities from downstream capabilities that may be considered in 2027 or 2028 and guide the Tech Lead on the engineering implications of the approved design. Success will be measured by acceptance of the MVP architecture and roadmap, documentation of priority risks and dependencies, and agreement on the major technical decisions required before implementation begins. Critical Subtasks 1. Conduct Enterprise DAM Discovery and Capability Assessment. Review current DAM-related business needs, existing content capabilities, repositories, enterprise architecture standards, and identified stakeholder requirements. Facilitate discovery sessions with Product, BTA, enterprise architecture, security, data governance, and engineering representatives to understand current-state constraints and desired outcomes. Document the major capability gaps, architectural dependencies, and unresolved technical questions that will influence solution design. Success will be measured by an accepted discovery summary, a prioritized requirements-gap register, and agreement on the architectural areas requiring further investigation. 2. Evaluate DAM Platform Capabilities and Technical Feasibility. Assess Aprimo and Adobe DAM capabilities against the relevant functional, integration, governance, and enterprise technology requirements. Evaluate platform architecture, extension capabilities, technology-stack implications, and the degree to which each option supports the anticipated Content Supply Chain operating model. Guide technical demonstrations or proof-of-concepts to address material uncertainties and document the results for decision-makers. Success will be measured by completion of agreed evaluation criteria. 3. Develop the Target Architecture and MVP Capability Blueprint. Translate discovery findings and platform evaluation results into an end-to-end solution architecture. Work with the Tech Lead and enterprise architecture stakeholders to validate feasibility, identify technical dependencies, and separate MVP requirements from future enhancements. Success will be measured by approval of the target architecture artifacts, documented capability boundaries, and agreement on the MVP architectural baseline. 4. Assess Existing Asset Repositories and Migration Requirements. Evaluate the architectural implications of existing digital assets, repositories, metadata models, content workflows, and related enterprise capabilities. Identify migration and coexistence considerations, including data quality, metadata mapping, content ownership, rights preservation, and dependencies between current and future platforms. Define a high-level migration strategy and identify technical investigations required before a detailed migration plan can be finalized. Success will be measured by acceptance of the migration assessment, documentation of major migration risks, and agreement on the recommended next-phase approach. 5. Define Upstream Integration Architecture and Validate Key Assumptions. Establish the solution-level integration approach for upstream enterprise capabilities that will supply or manage content within the DAM ecosystem. Define system responsibilities, conceptual data flows, architectural integration patterns, governance considerations, and major interface dependencies while collaborating with the Tech Lead on feasibility assessments. Use targeted proof-of-concepts to validate complex assumptions rather than committing the team to detailed downstream or production integration development during discovery. 6. Finalize MVP Scope, Architecture Decisions, and Implementation Readiness. Consolidate architectural decisions, requirements gaps, platform considerations, migration findings, and upstream integration dependencies into an agreed technical definition for the planned MVP. Partner with Product, BTA, enterprise architecture, and the Tech Lead to establish a phased implementation roadmap, future-state design principles, and the key non-functional requirements that engineering must address during delivery. Document deferred downstream capabilities separately, including potential integration work, and identify the decisions required before full implementation begins. Requirements: Senior Enterprise Architecture Experience: 10+ years of solution or software architecture experience . click apply for full job details

Covista seeks a Senior Specialist to support business telecommunications solutions for our diverse clients. In this role, you will implement and maintain voice and data services, assist with network configurations, troubleshoot connectivity issues, and coordinate service changes. You will analyze usage, recommend optimization options, and document configurations and procedures. Partnering closely with sales and customer support, you will help design reliable, tailored telecom solutions. This position offers the chance to deepen skills in networking, VoIP, and business communication systems in a service oriented, technically focused environment with opportunities for growth. Responsibilities Implement and maintain business voice and data services for clients. Troubleshoot and resolve network and connectivity issues. Configure and support Vo IP, SIP trunks, and related telecom platforms. Analyze service performance and recommend optimization solutions. Document network configurations, changes, and procedures. Collaborate with sales and support teams to design client solutions. Provide technical guidance to clients and internal stakeholders. Monitor network and service health using standard tools. Assist with service migrations, upgrades, and cutovers. Ensure high levels of reliability, security, and customer satisfaction. Required Skills Telecommunications systems Voice and data networking Vo IP configuration Network troubleshooting Cisco or similar routing/switching SIP trunking Network monitoring tools Ticketing/CRM systems Technical documentation Customer support for B2 B clients

Join Gopuff as a Reparte team member and help power instant delivery from our micro fulfillment centers. In this fast paced role, you'll receive, pick, and pack customer orders with speed and accuracy, ensuring snacks, groceries, and home essentials are ready for rapid dispatch. You'll organize and replenish inventory, maintain a clean and safe workspace, and use handheld devices to process orders. Working closely with operations and drivers, you'll keep deliveries on time while contributing ideas to improve logistics, efficiency, and customer experience in a startup like environment. Responsibilities Receive, pick, and pack customer orders accurately and efficiently Stock, organize, and replenish inventory in the micro fulfillment center Follow safety, quality, and cleanliness standards at all times Use handheld devices and warehouse software to process orders Coordinate with drivers and operations to ensure on time delivery Report inventory issues, damages, or delays to leadership Support cycle counts and basic inventory audits Assist with loading orders for last mile delivery Contribute ideas to improve processes and customer experience Uphold Gopuff's customer obsessed and fast paced culture Required Skills Order picking and packing Inventory management basics Warehouse operations Using handheld scanners or RF devices Basic computer and warehouse software use Stocking and replenishment Quality control and accuracy Time management in fast paced environments Safe lifting and material handling Basic data entry and reporting