219 jobs found

Sierra, a division of XYZ Tech Inc. in Chicago, IL, seeks a Seasonal IT Support Specialist to assist with increased project demand. In this role, you'll help deploy and support software applications, troubleshoot user issues, and assist with data-related tasks to improve operational efficiency. Working closely with engineers and analysts, you'll document processes, perform basic testing, and escalate complex problems as needed. Sierra offers a collaborative, innovative, and inclusive environment with exposure to cutting-edge technology and opportunities to build valuable experience in a fast-paced IT setting. Responsibilities Provide first-level technical support for software applications Assist with software deployment and configuration tasks Troubleshoot and resolve basic user and system issues Support data entry, validation, and basic data analysis tasks Document support activities, issues, and resolutions Assist with application and system testing during releases Escalate complex technical problems to senior staff Collaborate with engineers and analysts on project tasks Follow IT processes, security, and compliance guidelines Contribute to a collaborative and inclusive team culture Required Skills Technical support Software deployment Basic networking Operating systems (Windows/mac OS) Ticketing systems (e.g., Jira, Service Now) SQL and data handling basics Troubleshooting and diagnostics Application testing Documentation Security best practices awareness

C&S Employment Solutions seeks a Desktop Engineer & Support Tech to deliver reliable technical support for our internal team. In this people-centered, service-driven role, you will install, configure, and maintain Windows desktops, laptops, peripherals, and standard software, while managing tickets and providing prompt, professional end-user support. Responsibilities include troubleshooting hardware, software, and network issues; supporting remote users; managing user accounts and permissions; and documenting solutions. You'll collaborate with a responsive, collaborative team and help ensure a secure, efficient desktop environment that supports our fast-paced staffing operations. Responsibilities Provide Level 1-2 desktop and phone support for end users, resolving hardware, software, and connectivity issues. Configure, deploy, and maintain Windows workstations, laptops, and peripherals. Administer user accounts, permissions, and groups in Active Directory and Microsoft 365. Manage tickets in the help desk system, ensuring timely response, documentation, and resolution. Install, update, and troubleshoot standard applications and security tools. Support remote users using remote-access and remote-control tools. Assist with workstation imaging, deployment, and asset inventory tracking. Escalate complex incidents to senior engineers or vendors as needed. Contribute to documentation of procedures, FAQs, and knowledge base articles. Collaborate with internal teams to ensure reliable, secure, and efficient desktop environments. Required Skills Windows desktop support Microsoft 365 administration Active Directory Hardware troubleshooting Network connectivity troubleshooting Ticketing systems (e.g., Service Now, Zendesk) Remote support tools Scripting or automation basics (Power Shell) Endpoint security tools Imaging and deployment tools

Sierra, a division of XYZ Tech Inc. in Chicago, IL, is hiring a part-time IT Support Specialist for nights and weekends. In this role, you'll monitor systems, resolve software and network incidents, and support deployment of business applications that drive data-driven insights and operational efficiency. You'll troubleshoot end-user issues, document tickets, and escalate complex problems to senior engineers. Working in an innovative, inclusive culture, you'll gain exposure to cutting-edge tools, learn best practices, and contribute to impactful technology projects in a fast-paced environment. Responsibilities Provide nights and weekends help desk and application support Monitor systems and applications and respond to alerts Troubleshoot software, network, and access issues Document incidents and resolutions in ticketing system Escalate complex issues to senior engineers Assist with software deployments and updates Collaborate with cross-functional teams on tech solutions Maintain data security and follow IT policies Required Skills Technical support Help desk ticketing systems Windows/mac OS administration Basic networking (TCP/IP, DNS, VPN) Enterprise software troubleshooting Incident documentation System monitoring tools Cybersecurity best practices Customer service SQL or database basics

Sierra at XYZ Tech Inc. seeks an Associate for weekday mornings to afternoons to support software and data operations. Based in Chicago, IL, you will assist with monitoring applications, handling basic technical issues, preparing reports, and updating documentation. You'll collaborate with engineers and analysts to ensure smooth system performance and timely task execution. This role offers exposure to cutting-edge software, data tools, and cloud platforms, with strong mentorship, clear growth paths, and ongoing learning in a collaborative, inclusive tech environment. Responsibilities Monitor software applications and data workflows during weekday morning and afternoon shifts Respond to basic technical issues and escalate complex problems to senior team members Assist with system checks, performance tracking, and status reporting Compile and update operational and technical documentation Collaborate with engineers and analysts to support deployments and routine maintenance Support quality checks on data and application outputs Help prioritize and track incoming requests and tickets Participate in process improvement and automation initiatives Maintain clear communication with internal stakeholders regarding system status Engage in ongoing training to build technical and domain expertise Required Skills Application monitoring Basic SQLData analysis using Excel or similar tools Ticketing systems (e.g., Jira, Service Now) Technical documentation Basic scripting (e.g., Python, Bash, or Power Shell) Version control (e.g., Git) Understanding of SDLC concepts Familiarity with cloud platforms (AWS, Azure, or GCP) Basic networking and system troubleshooting

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments . click apply for full job details

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process . click apply for full job details

Job Description Job Description Information Systems Security Manager / Specialist Location: Arlington, VA Must have an active Top Secret Clearance Node provides HIRT remote and onsite advanced technical assistance, proactive hunting, rapid onsite incident response, and immediate investigation and resolution using host-based and network-based cybersecurity analysis capabilities. Node is seeking an Information Systems Security Specialist to support this critical customer mission. Responsibilities: -Work as part of a team of Information Assurance professionals to manage the full Risk Management Framework lifecycle for Information Technology systems -Assisting technical/management leadership on major tasks or technology assignments -Establishing goals and plans that meet project objectives -Assisting in direction and control activities, having overall responsibility for security management, methods, and staffing to ensure that technical requirements are met -Participating in client negotiations and interfacing with senior management -Supporting decision making and domain knowledge that may have a critical impact on overall project implementation -Providing support to plan, coordinate, and implement a cybersecurity lab's information security -Providing support for facilitating and helping the lab identify its current security infrastructure and define future programs, design and implementation of security related to lab systems -Assisting the efforts of security staff to design, develop, engineer and implement solutions to security requirements -Implementing and development of the DHS IT security standards -Gathering and organizing technical information about the lab's mission goals and needs, existing security products, and ongoing programs -Performing risk analyses which also includes risk assessment -Planning and leading major technology assignments -Evaluating performance results and recommends major changes affecting short-term project growth and success -Functioning as a cyber technical expert across multiple project assignments -Working closely with ISSM and CISO to respond to Data Calls and satisfy requirements of ATOs Requirements Required Skills: - U.S. Citizenship - Must have an active TS/SCI clearance - Must be able to obtain DHS Suitability - 5+ years of directly relevant experience in information security management - Hands on experience with Linux operating systems or Amazon Web Services - Experience supporting the NIST Risk Management Framework (RMF) process and contributing to a full ATO effort from initiation through authorization, including development of security documentation, control implementation statements, supporting assessment (audit) activities, and performing full POA&M management - Beginning to end Knowledge of RMF and Assessment and Authorization (A&A) documentation to include SSP, Contingency, Incident & Configuration Mgmt planning and execution - Experience working on multiple complex assignments which are broad in nature, requiring originality and innovation in determining how to accomplish tasks - Ability to apply a comprehensive knowledge across key tasks and high impact assignments - Knowledge of Computer Network Defense (CND) policies, procedures & regulations - Knowledge of defense-in-depth principles and network security architecture - Knowledge of ATO requirements and strong experience with POAMs. - Knowledge and experience with full range of Microsoft Office products (Word, Excel, Powerpoint, and Visio) - Knowledge of boundary protection and network segmentation - Knowledge of authentication and access management techniques - Experience with implementing and assessing security controls for hardware, software, and network deployments - Must be able to work collaboratively with internal and external stakeholders across physical locations Desired Skills: - Experience with Risk Management Framework software (CSAM, Xacta, Archer, RegScale) - Experience with host and network scanning software (Nessus, Security Center, Tenable Vulnerability Management, nmap, Wiz, burp) - Experience with Endpoint Protection tools like CrowdStrike or CarbonBlack - Working knowledge of SIEM tools like Splunk, SOAR, or ELK - Familiarity with role-based account processing operations - Familiarity with zero trust architectures - Familiarity with scripting languages (python, AWS CLI, Lambda, bash, powershell) Required Education: BS Information Management, Cybersecurity, Computer Science or related degree, or High School Diploma and 7+ years of information security management experience. Desired Certifications: - DoD 8140.01 IAT Level III, CISSP, AWS, Cisco, Microsoft Benefits Medical Dental Vision Basic Life Health Saving Account 401K Matching Three weeks of PTO/Sick 11 Paid Holidays Pre-Approved Online Training

Job Description Job Description The Hardware Technical Lead is the senior portfolio-level technical authority for hardware architecture, common interfaces and standards, lifecycle, and manufacturability across 3dB Labs products. The role establishes a coherent hardware foundation while allowing product-specific approaches when mission or technical requirements justify them. Product Managers own what and why; Product Technical Leads own the integrated solution for assigned products. This role owns portfolio hardware coherence and decisions affecting shared platforms, components, interfaces, or production baselines. It partners with the Software Technical Lead, Engineering, Production, and QA; Engineering leadership retains staffing and personnel management. Key Responsibilities Portfolio Hardware Architecture & Standards Establish common hardware architecture principles and standards for compute, electrical and mechanical design, power, thermal, RF, networking, connectors, and other shared interfaces as applicable. Identify opportunities to standardize components, platforms, and interfaces where reuse improves reliability, cost, supply resilience, production efficiency, or sustainment. Review major hardware and platform decisions that could affect multiple products or baselines and ensure portfolio-level standards and decisions are documented. Product Integration & Design Governance Partner with Product Technical Leads early in requirements and design to ensure hardware approaches and interfaces are technically sound and portfolio-aware. Lead or participate in design reviews and trade studies for significant new hardware, redesigns, and technology refreshes, balancing performance, SWaP, reliability, cost, lead time, manufacturability, and integration risk. Serve as the technical escalation point for cross-product hardware issues and coordinate with the Software Technical Lead on drivers, compute constraints, interfaces, and hardware/software integration. Lifecycle, Obsolescence & Supply Risk Maintain visibility into shared component and platform lifecycle risks, vendor end-of-life events, lead times, and supply constraints across the portfolio. Partner with Product Managers, Product Technical Leads, and Production to plan technology refreshes and transitions before lifecycle risks become delivery or customer disruptions. Support platform and component selection, make/buy and vendor evaluations, backward-compatibility decisions, and transitions between hardware baselines. Manufacturability, Quality & Production Transition Partner with Production and Quality to ensure hardware can be built, tested, inspected, serviced, and sustained repeatably, with appropriate design-for-manufacture and design-for-test practices. Ensure hardware transitions to Production with stable designs and the required build, assembly, test, configuration, and technical data. Use production and field failures, root-cause analysis, and lessons learned to improve common hardware standards and prevent recurring issues across products. Desired Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Systems Engineering, or a related technical field; advanced degree is a plus. Significant hardware or systems engineering experience with architecture or technical leadership responsibility for complex, integrated products. Demonstrated experience across electrical, mechanical, compute, RF, power, thermal, networking, or other relevant hardware domains, including design-for-manufacture and design-for-test considerations. Proven ability to lead trade studies and design reviews, assess technical estimates and risks, guide component/platform/vendor decisions, and mentor senior engineers and technical leads. Experience with ruggedized systems, RF/electronics, defense or mission systems, and low-volume/high-complexity manufacturing is highly desirable. Current or past US security clearance is a major plus, ability to obtain a Top Secret clearance required. US citizenship is required for all of our positions. Powered by JazzHR NuS0EufPMf

Job Description Job Description In Person Only interview. This job is Hybrid Mechanicsville, VA 23116 Our direct client has an opening for an Senior Network Security Engineer (807471). This position is up to 12 months, with the option of extension, 9120 Lockwood Boulevard Mechanicsville, VA 23116. Please send rates and a resume. Corp to Corp or w2 allowed. Requirements: Enterprise Networking - Required 8 Years. Enterprise Security - Required 5 Years. Azure Networking - Required 3 Years. WAF/NGFW - Required 3 Years. Supporting environments with 300+ Network Devices - Desired 3 Years. Candidate must have experience in the following areas: Incident response, Security investigations, Log analysis, Threat intelligence, Security monitor - Required. Candidate must have experience with the SIEM products (e.g. Splunk, Microsoft Sentinel) - Required. Candidate must have experience in vulnerability management and remediation tracking as well as vulnerability scanning tools (e.g. Nessus, Tenable, Def - Required. Candidate must have experience in the following areas: Active Directory, MFA, Conditional Access, Certificates - Required. Candidate must have experience with; SEC530, CIS Benchmarks, NIST CSF, NIST 800-53, Zero Trust principles - Required. Candidate must have experience with the following: Cisco ISE, NAC, 802.1X, RADIUS, TACACS - Required. Candidate must have experience with the following products: Palo Alto, F5 Distributed Cloud, Azure WAF, Cisco VPN, Global Protect, F5 BIG-IP - Required. Candidate must have experience working in highly regulated environments and leading technical troubleshooting during outages - Required. Candidate must have ability to communicate technical issues to technical and executive audiences and an ability to mentor junior engineers - Required. Candidate should have achieved or ability to achieve the following certifications: Azure Security Engineer (AZ-500), Azure Network Engineer (AZ-700) - Required.

Job Description Job Description About the Role: We are seeking a highly skilled Network Senior Engineer to join our team at our Aberdeen Proving Ground, Maryland location. As a Network Senior Engineer, you will be responsible for providing expert analysis on the design, implemention, and maintenance of complex network solutions for our clients. Your main goal will be to provide insight to various network project solutions within the organization, identify any issues, and work with a team to ensure the successful resolution of any project deliverables while also providing excellent customer service. You will work closely with our clients to understand their needs and provide customized solutions that meet their unique requirements. This is a challenging and rewarding role that requires a high level of technical expertise and excellent communication skills. Minimum Qualifications: 5+ years of experience in network engineering Strong knowledge of network transport and security protocols, technologies, and designs Excellent problem-solving and analytical skills Must be able to work independently and with a team without formal instruction Ability to obtain and maintain a U.S. Federal Security Clearance Preferred Qualifications: Master's degree in Computer Science, Information Technology, or related field Experience with Cisco, Juniper, and Palo Alto Networks Certifications such as Cisco CCIE, Juniper JNCIP, or PCNSE U.S. Department of Defense background Responsibilities: Design and implement complex network solutions for our clients Maintain and troubleshoot network issues Ensure network security and stability Provide excellent customer service to our clients and ensure project deliverables Collaborate with clients to understand their needs and provide customized solutions Skills: As a Network Senior Engineer, you will use your strong technical skills to oversee the design and implementation of complex network solutions for our clients. You will also use your excellent communication skills to collaborate with clients and provide customized solutions that meet their unique needs. Your knowledge of network protocols and technologies will be essential in ensuring the security and stability of our clients' networks. Additionally, your problem-solving and analytical skills will be critical in maintaining and troubleshooting network issues. Finally, your experience with Cisco, Juniper, and Palo Alto Networks, as well as possible certifications such as Cisco CCIE, JNCIP, or PCNSE will be beneficial in this role.

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon is continuously striving to be the most customer-centric company in the world. AWS have been helping over one million customers in over 190 countries, from Airbnb to GE, to deliver flexibility, scalability and reliability across their organizations. Behind this success is exceptionally talented, bright and driven individuals who work hard, have fun and make history." In your role, you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of Amazon's utility computing web services within strategic Enterprise accounts. You will represent AWS in face-to-face meetings and own the overall technical relationship between AWS and the customer. This role will engage with enterprise customers across a broad range of industry verticals including Travel and Transportation, Tourism and Leisure, Fast-Moving Consumer Goods (FMCG), Pharmaceuticals & Healthcare and Business Services. Technology trends in these verticals include IoT, Big Data, Analytics, AI/ML, Serverless and traditional cloud migrations of compute, storage and associated applications. The ideal candidate will need to demonstrate: Deep technical skill in infrastructure, software architecture and cloud computing Customer facing skills, ideally gained in presales or consultancy roles, allowing them to represent AWS in discussions with senior personnel Demonstrated ability to think strategically about solutions to business, product, and technical challenges. Awareness of technology trends and how they impact the way businesses consume IT This position requires U.S. citizenship and the ability to obtain and maintain a U.S. government security clearance. Key job responsibilities Support the AWS Business development team to help formulate a strategy to help the adoption of AWS within the focus industry verticals. Guide customers to ensure success in building and migrating applications, software and services following the principles of the AWS Well-Architected Framework. Help educate enterprise customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud. Help provide one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS. Capture and share best-practice knowledge among the AWS solutions architecture community. Author or otherwise contribute to AWS customer-facing publications such as blogs and whitepapers. Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates. Act as a technical liaison between customers, service engineering teams and support. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience PREFERRED QUALIFICATIONS- degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Dallas - 153 800.00 USD annually USA, VA, Herndon - 153 800.00 USD annually

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon is continuously striving to be the most customer-centric company in the world. AWS have been helping over one million customers in over 190 countries, from Airbnb to GE, to deliver flexibility, scalability and reliability across their organizations. Behind this success is exceptionally talented, bright and driven individuals who work hard, have fun and make history." In your role, you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of Amazon's utility computing web services within strategic Enterprise accounts. You will represent AWS in face-to-face meetings and own the overall technical relationship between AWS and the customer. This role will engage with enterprise customers across a broad range of industry verticals including Travel and Transportation, Tourism and Leisure, Fast-Moving Consumer Goods (FMCG), Pharmaceuticals & Healthcare and Business Services. Technology trends in these verticals include IoT, Big Data, Analytics, AI/ML, Serverless and traditional cloud migrations of compute, storage and associated applications. The ideal candidate will need to demonstrate: Deep technical skill in infrastructure, software architecture and cloud computing Customer facing skills, ideally gained in presales or consultancy roles, allowing them to represent AWS in discussions with senior personnel Demonstrated ability to think strategically about solutions to business, product, and technical challenges. Awareness of technology trends and how they impact the way businesses consume IT This position requires U.S. citizenship and the ability to obtain and maintain a U.S. government security clearance. Key job responsibilities Support the AWS Business development team to help formulate a strategy to help the adoption of AWS within the focus industry verticals. Guide customers to ensure success in building and migrating applications, software and services following the principles of the AWS Well-Architected Framework. Help educate enterprise customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud. Help provide one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS. Capture and share best-practice knowledge among the AWS solutions architecture community. Author or otherwise contribute to AWS customer-facing publications such as blogs and whitepapers. Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates. Act as a technical liaison between customers, service engineering teams and support. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- Knowledge of the primary aws services (ec2, elb, rds, route53 & s3) - Experience implementing AWS services in a variety of distributed computing environments PREFERRED QUALIFICATIONS- 5+ years of IT implementation experience - Experience and technical expertise (design and implementation) in cloud computing technologies - Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Dallas - 131 600.00 USD annually USA, VA, Herndon - 131 600.00 USD annually

Overview Would you like to be the person in Seattle who makes sure the demands and the potential of CMHK customers are heard, understood, and acted on by the teams that build the products? As a Go-to-Market Specialist (GTMS) based in the US, you sit close to AWS service teams and global stakeholders, and you use that proximity to carry the reality of the China Mainland & Hong Kong market into the rooms where product and service decisions are made. You are equal parts specialist and advocate: you understand the technology deeply, you translate CMHK customer needs into a compelling case, and you influence and convince the key people who can act on it. This role is built for someone who is genuinely self-driven and accountable for outcomes. Success is not measured by activity - it is measured by results: the roadmap asks you land, the stakeholders you move, the pipeline you create, and the adoption you drive. You will operate at high intensity, hold multiple engagements at once, and keep pace with a fast-moving cloud market. You are comfortable under pressure, you take ownership without waiting to be told, and you have the personal presence and communication skills to earn trust quickly with both service-team leaders and customers. Above all, you are someone who pushes: you do not simply flag a problem, you drive the specific action that resolves it. The ideal candidate combines credible technical understanding of cloud, infrastructure, and managed services with strong business instincts and communication. You should be able to hold your own with a service-team engineer on the technical substance and, in the same afternoon, frame a crisp, data-backed argument that convinces a product leader to prioritize a CMHK customer requirement. A strong sense of ownership, a bias for action, and the ability to deliver results in ambiguity are essential. What Makes This Role Different Beyond the standard specialist mandate, we are hiring against four differentiating capabilities. Candidates will be assessed explicitly against each. 1. Real technical understanding of cloud, infrastructure, and managed services You bring a strong understanding of the cloud business - not just what a service does, but how cloud infrastructure and managed services fit together commercially and technically, where the boundaries and trade-offs are, and when a given approach is the right one for a customer. Ideally you also have a working understanding of accelerated computing and GPU-carried workloads (training or inference) and the infrastructure choices they drive. You hold a defensible technical opinion in front of both a customer architect and an AWS service team. 2. Presence, affinity, and communication that earns trust fast You build rapport quickly and are easy to work with under pressure. Your written and verbal communication is clear, concise, and persuasive, whether you are in front of a service GM, a product leader, or a customer executive. People trust you with their decisions because you are credible and you follow through. 3. Self-driven ownership and accountability for results You do not wait to be assigned work - you see what needs to happen and you own it. You set your own agenda against the outcomes that matter, you operate independently at high intensity, and you hold yourself accountable for the result, not just the effort. When something is ambiguous, you make a call and move. 4. The ability to influence and push things to happen This is the core operating trait of the role. You diagnose why a customer need is not landing with a service team, you build the case, and then you drive the relevant people - internal and external - to act on it. You escalate when you should, you disagree and commit when you must, and you do not let important things quietly stall. Key job responsibilities Voice of the Region to Service & Global Stakeholders Based in Seattle near AWS service teams; act as the bridge carrying CMHK customer reality into product and service decisions. Represent CMHK demands, use cases, and blockers persuasively to GMs and global leaders; make the investment case. Influence decision-makers to prioritize CMHK needs-converting field signal into roadmap action and closing the loop back to the region. Go-to-Market Execution & Field Guidance Own the GTM motion for the infrastructure and managed-services portfolio, from narrative to execution. Build pipeline by engaging customers, partners, and account teams with a differentiated value proposition. Guide account teams on live deals: qualify, shape technical approach, unblock obstacles, and know when to escalate vs. coach. Technical Depth & Field Enablement Maintain credible expertise across compute, storage, networking, and managed services as a go-to field resource. Prove a repeatable motion on a real win, codify it, and scale it across the field. Communication & Data-Driven Management Deliver crisp, data-backed updates on pipeline, adoption, competition, and roadblocks. Leverage Salesforce and internal systems to track pipeline and build the investment case. BASIC QUALIFICATIONS- 7+ years of technology sales selling enterprise software, networking, infrastructure, managed hosting services, or cloud computing services experience - Demonstrable understanding of cloud, infrastructure, and managed services - you can speak credibly to how they are architected and where the trade-offs lie. - A track record of self-driven ownership and delivering measurable results, including examples of independently driving outcomes under pressure and ambiguity. - Demonstrated ability to influence stakeholders who are not in your reporting line - building a case, changing minds, and driving the relevant people to act. - Strong verbal and written communication skills, with the personal affinity and presence to engage credibly with both senior leaders and hands-on technical practitioners. - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. PREFERRED QUALIFICATIONS- Hands-on or architecture-level experience with cloud platforms, infrastructure, and managed services; working knowledge of software development practices, data center, and networking technologies. - Experience working across a global, matrixed organization and influencing HQ service and product teams from an in-region or bridging role. - Familiarity with the CMHK / Greater China market and its customer segments, or comparable experience representing a region's needs to a global product organization. - Familiarity with AI/ML and generative AI infrastructure requirements, and how infrastructure and managed-services decisions constrain or enable them. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 147 100.00 USD annually

Job Description Job Description Company Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, and GolfPass. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. Job Description Senior AI Engineer We're looking for a highly capable Senior AI Engineer to join our team to build the next generation of AI-powered equity research. This role is hybrid, 3 days in office. This role is for engineers who enjoy turning LLM and agentic AI capabilities into reliable product systems embedded in real-world workflows. It is especially well suited to people who want to work hands-on across architecture, implementation, and operations while helping define how AI capabilities get integrated into products used by individual investors. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge LLMs and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. You will design, build, and operate core components of our AI platform: distributed agentic workflows, retrieval and reranking systems, model integrations, and the infrastructure required to make these systems reliable, observable, and scalable in production. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and AI systems decisions while working closely with peers, product stakeholders, and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. A genuine interest in investing, public markets, and fundamental business analysis is expected. What We're Looking For: Bachelor's degree in Computer Science or equivalent practical experience Minimum of 5 years of experience designing, building, and maintaining software systems Strong backend expertise in at least one strongly typed language, preferably TypeScript Solid understanding of cloud computing primitives, especially AWS Strong understanding of agentic AI concepts such as tool use, function calling, state machines or graphs, retrieval and reranking, structured outputs, memory, guardrails, and evaluation Experience developing and deploying agentic workflows using frameworks such as LangChain, Mastra, or LangGraph Experience contributing to system design and technical decision-making Experience shipping and operating multiple GenAI or LLM-powered systems in production Hands-on experience debugging scaled LLM systems and participating in incident response Experience building RAG pipelines using embeddings and vector databases Familiarity with fine-tuning or adapting models for specific tasks Experience implementing evaluation pipelines, including human-in-the-loop workflows Experience building or maintaining evaluation suites for agentic systems in production What You'll Do: Build end-to-end distributed agentic AI solutions that are reliable and scalable Own complex features or subsystems from design through deployment and operation Collaborate cross-functionally to integrate AI capabilities into products and data pipelines Contribute to architectural decisions and technical standards for AI systems Maintain observability and operational health, including cost metrics, quality monitoring, drift detection, alignment, alerting, and incident response Support the team's overall technical growth Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues Use and improve model lifecycle management, monitoring, and evaluation frameworks Location: At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities: • Sweat it out Free onsite fitness center with state-of-the-art equipment, plus daily group classes • Eat up Gourmet cafeteria with daily specials plus soup and salad bars • Extras Dry cleaning, shoe shining and sneak peeks • Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Qualifications What We're Looking For: Minimum of 5 years of experience in software engineering, with a strong track record of building and shipping production systems Proven experience designing and deploying LLM-based or GenAI systems in real-world applications Strong programming skills in Python and experience with modern backend architecture and distributed systems Understanding of LLM workflows, including prompting, tool use, retrieval-augmented generation (RAG), and evaluation methodologies Experience building scalable data pipelines and working with large, messy, or unstructured datasets Ability to design systems with strong observability, reliability, and performance characteristics in mind Experience working in cross-functional environments and leading technical projects end-to-end Strong problem-solving skills and ability to operate independently in ambiguous, fast-moving environments Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Demonstrated interest in financial markets, investing, or business analysis Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description Job Description Company Description About StockStory VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Job Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. As a Senior ML Engineer, working in a team of 15 you will work on both an existing AI product with real user impact and greenfield projects with significant room for exploration. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Qualifications What You'll Do: This role is for engineers who enjoy turning machine learning and AI capabilities into reliable product systems used by real customers at scale. It is especially well suited to people who want to work across the full stack of applied ML, from data pipelines and model training to inference, evaluation, and production operations. You will design, build, and operate core components of our AI platform: production-grade ML systems, LLM workflows, and supporting infrastructure that power core user experiences for individual investors. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and modeling decisions while working closely with senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. Design, implement, and maintain production ML and AI systems used at scale Own end-to-end delivery of AI features from data pipelines and training workflows to inference and monitoring Contribute to architectural decisions and technical standards and mentor peers to elevate ML quality Solve complex technical problems with moderate ambiguity and strong business impact Participate in code reviews and incident retrospectives to improve system quality and reliability Support the team's overall technical growth Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues Use and improve model lifecycle management, monitoring, and evaluation frameworks Hands-on experience with neural networks, including CNNs, RNNs, Transformers, or other deep learning architectures Background in classical and modern NLP techniques such as tokenization, sequence labeling, language modeling, embeddings, text classification, and information extraction Experience with training pipelines using frameworks such as TensorFlow or PyTorch Experience building human-in-the-loop training or evaluation workflows A genuine interest in investing, public markets, and fundamental business analysis is expected. Requirements: Bachelor's degree in Computer Science or equivalent practical experience Minimum of 5 years of experience in software engineering with a focus on machine learning or AI systems Experience building and operating production ML systems Strong proficiency in Python, TypeScript, or Java Proven experience with LLMs, ranking or recommendation systems, search, or applied NLP Solid understanding of modern ML techniques, including deep learning and representation learning Experience contributing to system design and technical decision-making Location: Hybrid 3 days in office At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities: • Sweat it out Free onsite fitness center with state-of-the-art equipment, plus daily group classes • Eat up Gourmet cafeteria with daily specials plus soup and salad bars • Extras Dry cleaning, shoe shining and sneak peeks • Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description Job Description What you'll be part of Garner is on a mission to transform the U.S. healthcare system - and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" - better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. - and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of the cloud infrastructure powering Garner's products and AI/ML workloads. This role sits on our Platform Engineering team. You will run the machine: defining and upholding SLOs, leading incident response, and driving the automation and standards that let every Garner engineer ship faster and more reliably. Because our systems directly influence health outcomes for millions of patients, maintaining the highest standards of production quality is imperative. This is an automation-first role: you will use AI tools to continuously convert manual operational work into monitored, hands-free processes, so the role gets more leveraged as you build. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Run the Machine: Own the end-to-end reliability, performance, and resilience of Garner's cloud environments (AWS, Kubernetes), including those powering AI/ML workloads; define, measure, and uphold SLOs across our critical services. Lead Incident Response: Serve in the on-call rotation, lead incident response, and drive deep-dive root cause analysis, seeing corrective actions through to resolution and rigorously reviewing infrastructure changes. Own Observability: Build and maintain the monitoring, alerting, and observability systems that let us detect and resolve issues before users feel them. Scale & Optimize: Translate ambiguous, high-performance scaling requirements into well-defined, automated, and composable infrastructure-as-code deliverables (Terraform); proactively identify and implement cost-efficiency and performance gains across the stack to maximize cloud ROI. Automate Away Toil: Pay down impactful tech debt and reduce operational toil, using AI tools and automation to convert repetitive operational work into hands-free, monitored processes, and holding our internal platform to the same rigorous standards as our customer-facing products. Enable Engineering: Build and maintain the deployment and observability standards that empower the broader engineering team to ship AI features faster and more reliably; communicate complex cloud and reliability concepts clearly to technical and non-technical stakeholders. Uphold Security & Compliance: Ensure our infrastructure and operations meet Garner's security and HIPAA compliance obligations. The ideal candidate has: 4+ years of hands-on experience operating production cloud infrastructure at scale in an SRE, DevOps, or platform engineering role. Deep expertise with Kubernetes and Terraform in a cloud-first environment (AWS preferred). A strong track record with production observability: defining SLOs, building monitoring and alerting, and leading incident response and blameless post-incident reviews. Strong software engineering fundamentals in Python or Go, applied to infrastructure automation (experience with Kubernetes APIs a plus). Experience driving cloud cost-efficiency and performance optimization across compute, storage, and networking. Experience supporting AI/ML or data-intensive workloads in production is a plus. Experience operating in a security-conscious or regulated environment (HIPAA, SOC 2) is a plus. Fluency with AI tools (e.g., Claude) applied to real engineering and operations workflows, or strong motivation to build it fast. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. Technologies we use: AWS, Kubernetes, Terraform, Istio, Python, Go, TypeScript, Postgres, NATS, Datadog, GitLab This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. We are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target range for this position is 191 000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use and email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job Description Job Description Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values-Stay Curious, Have Empathy, and Be Accountable-and are ready to make a significant impact, we encourage you to apply. Your Role: As a Site Reliability Engineer at Alpaca, you'll help keep our brokerage platform reliable, observable, and operable as we grow - working across our cloud infrastructure, Kubernetes platform, observability stack, messaging layer, and data layer. We're especially interested in candidates with strong PostgreSQL fundamentals who'd like to grow into deeper ownership of our database reliability posture: PostgreSQL sits on the trading-critical path, and we want this person to spend a meaningful share of their time leveling it up while still being a well-rounded SRE the rest of the week. Things You Get To Do Operate production day-to-day - oncall, incident response, postmortems, and the follow-ups that actually close the loop. Own reliability practice - define and refine SLIs/SLOs and error budgets, and help product teams live within them. Strengthen our observability across metrics, logs, traces, and alerting. Ship infrastructure through code in a GitOps workflow - cloud resources and Kubernetes workloads alike. Look after PostgreSQL : performance tuning, schema and migration review, online migrations on large tables, HA/DR, and CDC pipelines. Mentor engineers on reliability and database fundamentals through code review, design review, and pairing. Who You Are (must-haves) 4+ years in SRE, DevOps, Platform/Infrastructure, or backend engineering with significant production operations ownership. Hands-on experience operating production services on Kubernetes , and shipping infrastructure as code in a GitOps workflow. Solid working knowledge of PostgreSQL in production - query plans, pg_stat_ , indexing and schema trade-offs, and what a safe online migration looks like on a non-trivial table. Cloud networking fundamentals (VPCs, routing, L4/L7 load balancing, DNS, TLS) and comfort debugging cross-service connectivity. Comfortable with a modern observability stack and proficient with Linux at the operator level. Practiced in incident response - calm under pressure, structured debugging, postmortems that drive change. At least working proficiency in Go or Python , plus strong written and verbal communication. Genuine interest in databases and in growing your PostgreSQL/DBA expertise. Who You Might Be (Nice-to-Haves): Deeper PostgreSQL experience: large clusters at OLTP load, online migrations on big tables, HA/DR ownership, connection pooling at scale, or change-data-capture pipelines. Experience with typed SQL access layers in Go (e.g. pgx, gorm, sqlc). Production experience with messaging systems at scale (e.g. RabbitMQ, Kafka, Redpanda). Security & compliance experience in a regulated environment (SOC 2, secrets management, audit logging). Familiarity with trading, brokerage, or other regulated fintech domains. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Job Description Job Description Curinos empowers financial institutions to put customers at the center of every decision. Our AI-first platform transforms proprietary data, advanced analytics and deep financial services expertise into timely recommendations - delivered right where teams work. The result: confident decisions, stronger customer relationships, and lasting, profitable growth. Curinos operates under a hybrid modality and has office locations in New York, Chicago, Boston, Toronto, and London. This role is open to hybrid/ remote candidates based in the United States. Job Description We are seeking a Senior ML/AI Platform Engineer to help build and operate Curinos' Databricks-native AI platform. This role sits at the intersection of machine learning engineering, platform engineering, and site reliability, with a focus on enabling reliable deployment and operation of AI and ML systems at scale. This is a high-impact role that will unlock the next phase of Curinos scalable growth. You will be responsible for designing and implementing the infrastructure, tooling, automation, observability, and governance capabilities that power production machine learning models, LLM applications, and agentic AI workflows. You will work with applied scientists to move solutions from experimentation to production quickly, safely, and repeatably. You will "build it once and scale it many times." We are a Databricks-first organization and make extensive use of Databricks Workflows, Asset Bundles, Unity Catalog, MLflow, Delta Live Tables, and related ecosystem tools. You will work closely with data scientists, data engineers, software engineers, and product teams embed AI and ML capabilities into our products, as well as automate operational processes to achieve reliable, scalable efficiencies across data and algorithmic workflows company-wide. As a FinTech company operating in a regulated environment, we place strong emphasis on governance, reproducibility, observability, and operational excellence. This role is critical to ensuring our AI platform and ML solutions meet those standards while remaining fast-moving and developer-friendly. Responsibilities Design, build, and maintain platform capabilities for deploying, monitoring, and operating ML models, LLM applications, and agentic AI workflows. Develop automated CI/CD pipelines and infrastructure-as-code patterns for AI and machine learning workloads. Create platformtoolingthatstandardizes deployment practicesof AI and ML capabilitiesacross teams. Build observability solutions that track model health, service reliability, cost, performance, AI safety metrics, and business outcomes. Implement scalable evaluation and monitoring frameworks for LLMs, agentic workflows, and generative AI applications. Partner withscientists and engineers toproductionizenewMLmodels and AI capabilities. Support governance, auditability, reproducibility, and model lifecycle management requirements. Strongly advocate and demonstrateoperational excellence practices includingplatform automation,reliability improvements,incident response, root cause analysis. Design, revise, and document architecture patterns, operational procedures, and engineering best practices. Salary Range: $ 130,000- $147,000 USD (plus bonus Desired Skills & Experience Strong experience building and operating ML, AI, data, or cloud platforms in production environments. Deep hands-on expertise with Databricks, including Workflows, Delta Lake, Delta Live Tables, Unity Catalog, Asset Bundles,MLflow, Python,PySpark, andSparkSQL. Experience with modernMLOpspractices including CI/CD, automated testing, model deployment, feature management, observability, and governance. Experience working with LLMs, agentic AI systems, evaluation frameworks, AI safety controls, and model monitoring solutions. Experience with model serving architectures, APIs, MCP servers, and scalable inference systems. Understanding of production support, incident management, and operational excellence practices. Strong communication skills and the ability to work effectively across multidisciplinary teams that make use of the AI and ML workflows you build. Why work at Curinos? Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from Flexible working options, including home working, flexible hours and part time options, depending on the role requirements - please ask! Unlimited PTO policy, floating holidays, volunteering days and a day off for your birthday Learning and development tools to assist with your career development Work with industry leading Subject Matter Experts and specialist products Regular social events and networking opportunities Collaborative, supportive culture, including an active DE&I program Employee Assistance Program which provides expert third-party advice on well-being, relationships, legal and financial matters, as well as access to counselling services Applying We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we'll do everything we can to help. Inclusivity at Curinos We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.