134 jobs found

Project Manager RGS Products, Inc. is an architectural railing and metals manufacturer that provides customers with custom-designed balcony and stairway railings. We are seeking an experienced Project Manager to join our growing team. The Project Manager will coordinate and manage individual architectural projects. This is not an IT Project Manager position. Candidates seeking IT-focused project management roles need not apply. Job Type: Full-time Benefits: 401(k) 401(k) Matching Dental Insurance Health Insurance Paid Life Insurance Paid Long-Term Disability Paid Time Off Personal Time Vision Insurance Experience: Construction Experience: 1 year (Preferred) Project Management: 1 year (Preferred) Management experience leading multidisciplinary project teams: 1 year (Preferred) Blueprint Reading a must Responsibilities: Oversee various aspects of engineering, workflow, budget, field verification, and scheduling of the assigned project from start to finish. Serve as the liaison for all communications between RGS and the client and installers. Lead project meetings. Collaborate with project staff to create a strategic action plan and project estimates of products, time, install labor, and other resources required to complete the project Facilitate and contribute to the development of project plans and designs Compare the actual products of the project to estimates. Recommend and/or analyze materials, equipment, and practices used in the project. Ensure compliance with codes, guidelines, best practices, jobsite safety, and policies. Collaborate with project engineers and senior management to identify and troubleshoot problems that arise. Assess the competence, capabilities, and sufficiency of resources for subcontract installers. Manage and communicate requirements for Change Orders to project team and clients. Coordinate with Operations Manager on production scheduling and priorities. Coordinate with Engineering on submittals, drawing timelines, and material BOMs. Coordinate with Purchasing for material needs and material shipping timelines. Coordinate with Shipping on finished product delivery timelines. Coordinate with Installers on delivery dates and client-set timelines for installation completeness. Coordinate with clients/GCs on all project timelines. Monitor project milestones and critical path activities, identifying schedule risks affecting fabrication, delivery, and installation. Ensure project deliverables meet quality standards and customer specifications. Support corrective actions and continuous improvement. Promote OSHA and company safety compliance. Coordinate punch lists and project closeout documentation. Prepare periodic progress reports for leadership. Perform other related duties as assigned. Required Skills/Abilities: Efficient verbal and written communication skills Efficient cost containment skills Efficient organizational skills and attention to detail Efficient time management skills with a proven ability to meet deadlines Strong analytical and problem-solving skills Strong supervisory and leadership skills Proficient with Microsoft Office Suite and related software (AutoCAD, Bluebeam, etc.) Physical Requirements: Extensive travel required (must be able to travel to job sites with short notice) Prolonged periods sitting at a desk and working on a computer Must be able to lift up to 15 pounds at times Compensation details: 0 Yearly Salary PIce3410d264e2-9168

Job DescriptionJob Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the role: The Data Service Team serves as the experts on managing data infrastructures as services for CoreWeave. The data infra includes but is not limited to managed databases, data ingestion, data flow, and data lake and analysis for CoreWeave and its customers. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data service infrastructure. We are seeking a senior engineer manager with specialization in database space who can help us fulfill the goal of our data strategy and establish communication models for our data flow. This leadership role will work with a team of mixed skill engineers and have the opportunity to work on the full gamut of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment. As a manager of the Data Service Team you will have the opportunity to: Build a world class engineering team by hiring and developing the best talent in the industry. Have curiosity and hunger to solve very hard system level problems in order to run the world's most demanding and advanced AI workloads. Design and implement services to deliver data to teams with a focus on providing managed solutions through APIs Improve the performance, security, reliability, and scalability of our data services. Establish guidelines, guard rails for data access and storage for stakeholder teams. Ensure compliance with standards for data protection regulation. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are some qualities we've found compatible with our team. If a portion of this resonates with you, we'd love to talk. 5+ years of experience managing or leading data service infra teams; 5+ years of hands-on software or infrastructure engineering. Understanding one of the database internals: MySQL, PostgreSQL, Aurora, CockroachDB, TiDB, MongoDB, CosmosDB, Oracle, SQL Server, DB2, SAP. Hands-on background with cloud native and separating compute from storage architecture. Expert on life of a query and life of a transaction. You enjoy helping your colleagues achieve more with less effort. You have experience operating services in production and at scale and are versed in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design. You understand CAP theorem and concurrency models, can clearly define data models and establish guidelines around data management. You're excited about new research in database systems. You're familiar with Kubernetes and have interest or comfortable with using it for event-driven and/or stateful orchestration. You can transform problems in elastic solutions, decompose them into achievable tasks, and socialize both to your teammates. You're excited about being part of a team of diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together. Excellent communication skills with the ability to collaborate across engineering, product, and leadership teams. Proven ability to attract, retain, and grow world-class engineering talent. The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionJob Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the role: The Data Service Team serves as the experts on managing data infrastructures as services for CoreWeave. The data infra includes but is not limited to managed databases, data ingestion, data flow, and data lake and analysis for CoreWeave and its customers. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data service infrastructure. We are seeking a senior engineer manager with specialization in database space who can help us fulfill the goal of our data strategy and establish communication models for our data flow. This leadership role will work with a team of mixed skill engineers and have the opportunity to work on the full gamut of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment. As a manager of the Data Service Team you will have the opportunity to: Build a world class engineering team by hiring and developing the best talent in the industry. Have curiosity and hunger to solve very hard system level problems in order to run the world's most demanding and advanced AI workloads. Design and implement services to deliver data to teams with a focus on providing managed solutions through APIs Improve the performance, security, reliability, and scalability of our data services. Establish guidelines, guard rails for data access and storage for stakeholder teams. Ensure compliance with standards for data protection regulation. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are some qualities we've found compatible with our team. If a portion of this resonates with you, we'd love to talk. 5+ years of experience managing or leading data service infra teams; 5+ years of hands-on software or infrastructure engineering. Understanding one of the database internals: MySQL, PostgreSQL, Aurora, CockroachDB, TiDB, MongoDB, CosmosDB, Oracle, SQL Server, DB2, SAP. Hands-on background with cloud native and separating compute from storage architecture. Expert on life of a query and life of a transaction. You enjoy helping your colleagues achieve more with less effort. You have experience operating services in production and at scale and are versed in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design. You understand CAP theorem and concurrency models, can clearly define data models and establish guidelines around data management. You're excited about new research in database systems. You're familiar with Kubernetes and have interest or comfortable with using it for event-driven and/or stateful orchestration. You can transform problems in elastic solutions, decompose them into achievable tasks, and socialize both to your teammates. You're excited about being part of a team of diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together. Excellent communication skills with the ability to collaborate across engineering, product, and leadership teams. Proven ability to attract, retain, and grow world-class engineering talent. The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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 Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. 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. 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 . click apply for full job details

Job Description Job Description Overview Configuration Manager WORK LOCATION: Hanscom AFB, MA (In Office/On Base 3 days a week) SALARY RANGE: $115,000 - $135,000 depending on experience, certifications, and qualifications JOB STATUS: Full-time; salaried SECURITY CLEARANCE: MUST have an active Secret security clearance Astrion has an exciting opportunity for a Configuration Manager to support the Survivable Airborne Operations Center (SAOC) Division at Hanscom AFB, MA. The SAOC program is a Major Defense Acquisition Program tasked with leading the development and delivery of the replacement fleet for the E-4B National Airborne Operations (NAOC). Responsibilities Responsible for maintaining technical baselines, especially software baselines, of USAF systems in accordance with Dept of Defense and USAF guidance. Design, develop, and establish configuration management documentation based on prescribed standards, program requirements, and conventional best practices. Prepare documentation for, coordinate, and lead Configuration Control Boards. Conduct closeout actions and archive all CM documentation. Report CCB status to leadership. Assist in preparing and reviewing program/project documentation, e.g. Requests for Proposals (RFPs), Statement Of Objectives (SOOs), Statements-of-Work (SOWs), Performance Works Statements (PWS), System/Technical Requirements Documents (SRD/TRD), Contract Data Requirements Lists (CDRL), AF Form 1067s, etc. and assist in source selections for systems. Review and update CM plans periodically in accordance with USAF guidance. Develop process, then maintain and standardize technical performance matrices to include capturing update steps, configuration control considerations, and approval process. Develop process documents. Maintain configuration control of assessments developed by the technical team. Qualifications Experience on Dept of Defense or Air Force acquisition programs is highly desired. Experience with Configuration Management tools. Demonstrated characteristics of a self-starter who is able to work independently and effectively interact with program team members and senior leadership.

Location: Neptune City, New JerseyJob Type: PermanentCompensation Range: $140,000 - 150,000 per yearStep into a high-visibility role where you will drive the overarching digital strategy and growth for a premier consumer brand. You will own the end-to-end eCommerce website roadmap, leveraging data analytics and CRO testing to optimize conversion rates and elevate the customer journey. By combining creative site merchandising with analytical rigor, you will lead cross-functional initiatives across paid digital, email, and subscription channels to maximize revenue. This is your opportunity to lead digital strategy alongside a collaborative team focused on continuous innovation.100% On-Site (Monmouth County, NJ) Full-Time Direct Hire. Responsibilities:Develop and execute comprehensive DTC business plans focused on revenue growth, marketing spend, and strategic product assortment.Lead site merchandising strategies, enhancing user experience (UX) and personalizing the customer journey across all digital touchpoints.Direct conversion rate optimization (CRO) initiatives and A/B testing to elevate online shopping behavior and engagement.Partner cross-functionally with creative, operations, and marketing teams to align digital content with broader business objectives.Manage eCommerce performance analytics, delivering data-driven recommendations to continuously improve site performance and profitability. Qualifications:7+ years of dedicated experience managing and optimizing direct-to-consumer eCommerce websites.Proven expertise in Conversion Rate Optimization (CRO), A/B testing, Search Engine Optimization (SEO), and digital analytics.Extensive hands-on technical experience with enterprise-level eCommerce platforms (such as Shopify Plus) and site merchandising tools.Demonstrated ability to drive cross-functional strategic initiatives in a dynamic, highly collaborative environment.Bonus PointsPrevious experience managing subscription-based revenue models, product information systems (like Salsify), and localized content strategies.JOBID: 74 Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Cella, a randstad digital company, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Cella by randstad digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.

Job Description Job Description Investment Reporting Analyst - Private Equity Career Launch AI Talent Network Location: New York, NY (Hybrid) Type: Full-Time Compensation: $140,000 - $185,000 total compensation (varies by employer) About This Role This Investment Reporting Analyst - Private Equity description represents the type of early-career investment reporting and analytics roles featured on the Career Launch AI Private Job Board. It is not a direct job opening with a specific employer. Members of our platform gain access to exclusive private equity and alternative investment roles that may not appear on public job boards. Career Launch AI provides tools and support to help candidates reach hiring managers, prepare for interviews, and pursue high-caliber finance opportunities across investment, reporting, and fund analytics functions. More information is available at careerlaunch.ai . About the Opportunity Private equity firms within the Career Launch AI network-particularly lower middle-market and growth-oriented managers-may seek an analytically strong Investment Reporting Analyst to support portfolio monitoring, valuation analysis, and investor reporting. Individuals in roles like this sit at the intersection of investment teams, fund operations, and investor relations, translating portfolio data into clear, accurate, and decision-ready reporting. The role offers strong exposure to private equity performance metrics, valuation methodologies, and portfolio-level insights. Day-to-Day ResponsibilitiesInvestment & Performance Reporting Prepare recurring investment and portfolio performance reports for internal and external stakeholders Track and analyze fund- and investment-level metrics, including IRR, MOIC, DPI, TVPI, and cash flows Maintain performance dashboards and reporting templates Portfolio Analytics & Monitoring Monitor portfolio company financial performance against budgets and investment cases Analyze KPIs, operating trends, and variance drivers across portfolio companies Support quarterly and annual portfolio reviews Valuation & Data Support Assist with quarterly valuation processes in coordination with investment teams and third-party valuation providers Support documentation and data preparation for audits and valuation reviews Maintain valuation models, assumptions, and historical performance data Investor & Management Materials Support preparation of investor reports, quarterly letters, and performance summaries Assist with ad hoc reporting requests from investor relations and senior leadership Ensure consistency, accuracy, and clarity across reporting outputs Process & Systems Support Maintain investment data across reporting systems and internal trackers Identify opportunities to improve reporting workflows, data accuracy, and automation Assist with documentation of reporting standards and best practices What Makes This Work Engaging Direct exposure to private equity fund and portfolio performance Involvement in valuation, reporting, and portfolio monitoring processes Close collaboration with investment professionals and investor relations teams Strong foundation for careers in private equity analytics, portfolio management, or fund reporting Ideal Candidate Profile This profile reflects competencies commonly sought for investment reporting roles within private equity firms. Education & Technical Skills Bachelor's degree in Finance, Accounting, Economics, Mathematics, or related field Strong Excel skills and comfort working with financial data and performance metrics Solid understanding of accounting principles and private equity performance concepts Familiarity with valuation methods and fund structures is a plus Experience (Formal or Informal) Prior internships or experience in private equity, asset management, fund reporting, transaction services, or consulting is beneficial Exposure to portfolio analytics, reporting, or valuation processes is a plus Soft Skills & Mindset Highly detail-oriented with strong analytical rigor Clear written and verbal communication skills Ability to manage recurring reporting cycles and deadlines Proactive, reliable, and comfortable working cross-functionally Curious and motivated to build expertise in private equity analytics and reporting How Career Launch AI Helps Candidates Access Roles Like This Career Launch AI is a career acceleration platform supporting candidates pursuing competitive private equity and investment reporting roles. AI-Powered Job Search Automation Automated applications to a large volume of relevant roles with tailored resumes Targeted search across private equity, asset management, and alternative investments Recruiter & Hiring Manager Outreach Human-led outreach to relevant recruiters and decision-makers Support initiating conversations beyond traditional job portals Execution & Tracking Support Streamlined systems to manage applications and outreach End-to-end administrative support during the search process Interview & Role Preparation Assistance with private equity reporting, valuation, and analytics interviews Support with behavioral, technical, and case-based interview readiness Continued Support Ongoing guidance provided throughout the hiring process Learn More or Apply To access roles of this kind through the Career Launch AI platform, visit: careerlaunch.ai Career Launch AI offers access to a curated job board, personalized outreach support, automated application tools, interview preparation, and continued assistance until placement. Career Launch AI - Powered by Initio Capital 8 The Green, Dover, Delaware 19901

Job Description Job Description Job Description: Senior IT Network / Security Engineer Job Description: Provide billable consulting services to Colorado client base. Work in tandem with Account Managers to understand client business and technical objectives and deliver IT network and security infrastructure solutions that meet or exceed expectations. Work in a diverse, challenging environment where you use a thorough understanding of the interactions between infrastructure components. Design, optimize and troubleshoot deployments of networking and security for on-prem, hybrid cloud and cloud environments. Duties Include: Become a highly utilized consultant by providing outstanding technical skills that bring excellent value to clients. Evolve to where you become an integral part of clients' IT staff and become a trusted advisor. Develop content for Statements of Work network and security infrastructure consulting projects and deliver services per the Statement of Work. Ensure clear communications during all phases of the project with clients and sales personnel. Maintain and build technical expertise through training, teaming with other engineers and expanding your scope of skills. Become or maintain subject matter expertise in the product areas for which you are assigned. Work with sales staff to develop new business and expand existing business. Be eager to expand your knowledge of other infrastructure disciplines by teaming on projects with engineering staff and through professional training. Develop strong vendor relationships by becoming technically excellent in your understanding of their products and how to position and integrate those products in client environments. Assist in the development, monitoring and management of Managed Services offerings. Skills Required: 10-12 years of IT networking, security, compute and storage experience. This knowledge may have come from a tier 2 or 3 engineer role or similar position - Solid knowledge of TCP/IP stack and networking protocols that include OSPF, BGP, EIGRP, MPLS or others - Architect, deploy, manage, document and monitor networks which include switches, routers, VPNs, remote access, SD-WAN and security devices including firewalls, IDS, A/V, SIEM and other security or network components. - Broad experience in multiple security and networking products (Cisco, Palo Alto, Ruckus, Check Point or Fortinet) and monitoring tools (SolarWinds, LogicMonitor, PRTG and/or other) - Excellent listening and communication skills with an ability to work with a wide range of personalities and varying degrees of technical expertise and management levels. - Strong attention to detail with an analytical mind and outstanding problem-solving skills. About The Root Group: The Root Group is a locally owned IT solution provider / reseller that has been in business for over 35 years that focuses on commercial IT infrastructure and renewable energy sites (solar, battery, wind). We provide a full line of professional services and products for the design, implementation, management and support of IT infrastructure. Each Root Group engineer has many years of tenure at the company and our work environment provides a rewarding level of autonomy and collaboration to rapidly grow your knowledge in all phases of IT infrastructure. Our clients regularly recognize the high level of technical skills and professionalism that each engineer brings an engagement. The Root Group offers a competitive compensation and benefits plan and you will become an integral part of a great team in which you make a significant impact on the company's success!

AI Engineer 4 (LLM Gateway, FM Hosting) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (LLM Gateway, FM Hosting) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Assistant Chief Engineer - Structural (Bridge) Wall Township, NJ French & Parrello Associates (FPA) is seeking an experienced and highly respected Assistant Chief Engineer - Bridge to provide technical leadership and strategic direction for our growing Bridge Department at our headquarters in Wall Township, NJ. This is a unique opportunity for a senior transportation engineering professional who wants to make a significant impact by leading complex bridge projects, mentoring talented engineers, advancing technical excellence, and helping shape the continued growth of one of the Northeast's fastest-growing engineering consulting firms. Recognized year after year as one of NJBIZ's Best Places to Work in New Jersey, FPA is committed to creating a culture where talented professionals are empowered to grow, collaborate, and lead. In 2026, FPA was ranked on Zweig's Hot Firm List, recognizing the firm among the 100 fastest-growing AEC firms in the United States and Canada. Our continued growth is driven by our investment in our people, technical expertise, and commitment to delivering innovative infrastructure solutions for the communities we serve. The successful candidate will serve as a technical leader within FPA's Bridge Department, providing oversight and guidance on complex bridge design, rehabilitation, and transportation infrastructure projects throughout New Jersey and the region. This individual will work closely with project managers, engineers, and multidisciplinary teams to ensure the successful delivery of high-quality engineering solutions while advancing the department's technical capabilities and reputation. This role is ideal for a recognized bridge engineering professional who enjoys solving complex technical challenges, developing engineering talent, collaborating with clients and agencies, and contributing to the strategic growth of a multidisciplinary engineering firm. Unlike larger organizations where senior technical professionals can become disconnected from project teams and decision-making, FPA provides the opportunity to directly influence projects, mentor future leaders, and play a key role in shaping the future of our Bridge practice. Bridge Engineering Expertise & Project Experience FPA's Bridge Department has a long-standing reputation for delivering innovative solutions for complex transportation infrastructure projects throughout New Jersey and the Northeast. Our team has successfully completed bridge design, rehabilitation, inspection, and construction support assignments for NJDOT, DRJTBC, NJ Turnpike Authority, Garden State Parkway, PennDOT, counties, municipalities, and other transportation agencies. Our experience includes major bridge replacements, deck replacements, structural rehabilitations, bridge widenings, load ratings, seismic evaluations, staged construction projects, and complex transportation improvements involving steel plate girders, rolled steel beams, prestressed concrete systems, culverts, pedestrian bridges, and specialty structures. The Assistant Chief Engineer - Bridge will have the opportunity to lead projects that shape the region's transportation network, including major highway structures, historic bridge rehabilitations, waterfront and movable bridge projects, and technically challenging infrastructure improvements. FPA's portfolio includes work on critical corridors such as US Routes 1, 22, 27, 33, and 80, as well as significant assignments for public agencies requiring innovative engineering solutions, multidisciplinary coordination, and a commitment to quality from preliminary design through construction completion. Responsibilities • Provide technical leadership and oversight for complex bridge design, rehabilitation, replacement, and transportation infrastructure projects • Serve as a senior technical resource for bridge engineering teams, providing guidance on design approaches, engineering solutions, and project delivery strategies • Lead quality assurance and quality control (QA/QC) reviews of bridge plans, calculations, specifications, technical reports, and design documentation • Oversee structural analysis and design activities in accordance with AASHTO LRFD Bridge Design Specifications, NJDOT standards, and applicable agency requirements • Provide technical direction for bridge modeling, load rating analyses, structural evaluations, and rehabilitation design efforts • Collaborate with Project Managers and multidisciplinary teams including roadway, traffic, geotechnical, environmental, hydraulic, and construction engineering professionals • Support complex project pursuits through technical strategy, proposal development, interviews, and client presentations • Maintain and strengthen relationships with NJDOT, county engineering departments, municipalities, and other transportation agencies • Mentor, coach, and develop engineers within the Bridge Department by providing technical guidance and supporting professional growth • Assist with the development of department standards, technical resources, and best practices to enhance project delivery and engineering excellence • Participate in strategic planning initiatives to support continued growth of FPA's transportation and bridge practice • Conduct site visits, bridge inspections, and field assessments as needed to support project delivery and technical decision-making Qualifications • Bachelor's degree in Civil Engineering required; Master's degree in Structural Engineering required • Professional Engineer (PE) license required; New Jersey, New York and/or Pennsylvania PE preferred or ability to obtain through reciprocity • 15+ years of progressive bridge design and structural engineering experience • Extensive experience delivering complex bridge and transportation infrastructure projects/Historical Bridge Design Rehabilitation experience is a plus • Advanced knowledge of AASHTO LRFD Bridge Design Specifications and NJDOT bridge design procedure • Strong technical expertise in bridge analysis, rehabilitation, replacement, and structural evaluation • Proficiency with bridge design and analysis software such as LEAP Bridge, LARSA, MIDAS, CSiBridge, STAAD, or equivalent programs • Experience with AutoCAD and/or MicroStation required • Demonstrated ability to provide technical leadership, mentor engineers, and elevate team performance • Strong communication, organization, and problem-solving skills with the ability to collaborate across disciplines • Established relationships with transportation agencies, municipalities, and public-sector clients preferred • Experience supporting business development, proposal preparation, and client engagement activities preferred Additional Information • Sponsorship for U.S. employment authorization is not available for this position. • Relocation assistance is available for this position. Don't meet every qualification? At FPA, we recognize that great candidates bring diverse experiences and perspectives. If you are excited about this opportunity but do not meet every listed requirement, we encourage you to apply. Your experience may be exactly what we need for this role or another opportunity within our growing team. The FPA Difference Large firms offer scale. FPA offers opportunity. For more than 50 years, French & Parrello Associates (FPA) has been delivering innovative engineering solutions that shape communities, improve infrastructure, and support regional growth. As an employee-owned, mid-sized engineering and consulting firm, FPA combines the technical capabilities and expertise of a larger organization with the collaboration, accessibility, and personal investment of a close-knit team. At FPA, senior technical leaders have the opportunity to make a meaningful impact beyond individual projects. You will help shape engineering standards, mentor the next generation of professionals, collaborate with industry leaders, and influence the continued growth and success of our Bridge Department. Our multidisciplinary approach allows technical leaders to see the full picture, from concept development and design through construction completion, while collaborating with experts across transportation, structural, environmental, water resources, and other engineering disciplines. We invest in our people through mentorship, professional development, and opportunities for leadership because we believe the success of our employees drives the continued success of our firm. At FPA, you are not just providing engineering expertise, you are helping build a growing organization and shaping the infrastructure that supports communities for generations. Benefits Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement plans. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. Compensation The projected compensation range for this position is $150,000 to $200,000. Actual compensation will depend on factors including experience, education, qualifications, and skill set. FPA recognizes and rewards performance through an annual bonus program and offers a signing bonus for this particular position for qualified candidates.

Job Description Job Description Position Summary: The Assistant Director of Building Services & Senior Chief Engineer performs advanced preventive and corrective maintenance, diagnoses complex mechanical and electrical issues, monitors building automation systems, coordinates with contractors and vendors, and provides technical guidance to junior maintenance personnel. This position serves as a senior technical resource for building operations and is responsible for maintaining critical HVAC equipment, supporting tenant comfort, minimizing equipment downtime, and ensuring properties operate in accordance with company standards, manufacturer requirements, and applicable safety codes Position Responsibilities: Operate, inspect, maintain, troubleshoot, and repair commercial HVAC systems and associated building equipment. Perform preventive, predictive, and corrective maintenance on: Air handling units (AHUs) Rooftop units (RTUs) Chillers and cooling towers Boilers and heating systems Pumps, motors, and variable frequency drives (VFDs) Exhaust and ventilation systems Fan coil units and terminal units Refrigeration equipment Pneumatic and electronic controls Building automation/management systems (BAS/BMS) Conduct routine mechanical-room and building inspections to identify equipment deficiencies and potential failures before they affect building operations. Diagnose complex HVAC, electrical, mechanical, refrigeration, and controls problems using appropriate testing instruments and diagnostic procedures. Monitor building automation systems and adjust HVAC operating parameters to maintain tenant comfort and optimize energy performance. Respond to HVAC-related emergencies, equipment failures, tenant service requests, and after-hours calls as required. Perform equipment start-ups, shutdowns, operational testing, and seasonal changeovers. Maintain accurate preventive maintenance records, work orders, equipment logs, inspection reports, and service documentation. Review equipment performance and recommend repairs, replacements, upgrades, or energy-efficiency improvements. Coordinate with property management, facility management, engineering staff, tenants, contractors, and service vendors. Assist with contractor oversight, including reviewing work, verifying completion, and ensuring work is performed safely and according to specifications. Maintain appropriate levels of HVAC parts, filters, refrigerants, tools, and maintenance supplies. Support capital improvement projects, equipment replacements, renovations, and building-system upgrades. Maintain compliance with applicable OSHA requirements, building codes, environmental regulations, and company safety procedures. Maintain clean, organized, and safe mechanical rooms, equipment areas, and workspaces. Provide technical guidance, training, and assistance to junior maintenance technicians. Prioritize maintenance activities based on equipment criticality, tenant needs, safety, and business impact. Perform general building maintenance duties as needed to support overall property operations. Identify opportunities to improve equipment reliability, energy efficiency, operating costs, and asset life. Assist property management with technical assessments, repair recommendations, and budgeting for HVAC-related capital expenditures. Work with property managers and facility teams to minimize disruption to building occupants during maintenance and repair activities. Support emergency preparedness and building response procedures for HVAC and mechanical-system failures. Senior-Level / Leadership Responsibilities Serve as a subject-matter resource for commercial HVAC systems and building mechanical operations. Provide guidance and technical assistance to maintenance technicians and building engineers. Mentor Building Services team members for future development. Review troubleshooting approaches and recommend appropriate corrective actions. Assist in developing preventive maintenance procedures and improving maintenance programs. Help evaluate recurring equipment problems and identify root causes. Provide input regarding equipment replacement, modernization, energy conservation, and operational improvements. Assist management in evaluating contractor performance and technical recommendations. Position Qualifications: High school diploma or equivalent required. Minimum of 10+ years of progressively responsible experience in commercial HVAC maintenance, repair, and troubleshooting. DC 3rd license Demonstrated experience maintaining HVAC systems in commercial buildings, office towers, or other large-scale facilities. Experience performing preventive maintenance, diagnosing equipment issues, and coordinating HVAC repairs. Experience providing technical guidance or mentoring to junior HVAC technicians preferred. Experience with VRF. Comprehensive knowledge of commercial HVAC systems, including: Chillers, boilers, cooling towers, and pumps. Air-handling units, rooftop units, and variable air volume (VAV) systems. Split systems, package units, and exhaust systems. Heating, ventilation, and air-conditioning controls. Strong understanding of refrigeration principles, thermodynamics, and HVAC system operation. Ability to read and interpret mechanical drawings, wiring diagrams, equipment manuals, and control sequences. Proficiency in electrical and mechanical troubleshooting, including the use of diagnostic tools and test equipment. Knowledge of building automation systems (BAS), direct digital controls (DDC), and HVAC control systems. Ability to identify equipment deficiencies, determine root causes, and recommend appropriate corrective actions. Ability to perform preventive and predictive maintenance on HVAC equipment. Knowledge of energy-efficient HVAC operation and opportunities for system optimization. Knowledge of OSHA requirements, applicable safety regulations, and safe work practices related to HVAC and building maintenance. Understanding of refrigerant-handling regulations, environmental requirements, and proper refrigerant recovery and disposal procedures. Ability to communicate effectively with building management, clients, tenants, coworkers, contractors, and vendors. Demonstrated ability to provide professional, responsive, and courteous customer service. Ability to explain technical issues, repair recommendations, and equipment conditions clearly to both technical and nontechnical audiences. Strong organizational and time-management skills, with the ability to prioritize work orders and respond to urgent maintenance needs. Ability to work independently and collaboratively as part of an engineering team. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an application, please e-mail or call . Akridge believes that diversity and inclusivity are essential to positive long-term success and achieving our strategic business goals. We are proud to be an Equal Opportunity Employer, and we encourage diverse and talented applicants to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Job Description 4. Scope of Servies The Florida Department of Transportation, Office of Information Technology (OIT) - Integration Services is in search of a Senior Network Engineer to play a key role in assisting the Office of Information Technology in the establishment of new integration methods and standards, along with implementing system integrations, according to those established methods and standards. Duties and Responsibilities will include but are not limited to: 1. Perform security administration to configure and document firewall infrastructure access rules and work with peripheral network components in the technology environment with Palo Alto, Checkpoint and Global Protect VPNs. 2. Firewall deployments, rule migrations, firewall administration and converting existing rule based policies onto new platforms. 3. Works with critical core network infrastructure devices like Next Gen Firewall, VPNs, log collectors and monitors which play a crucial role in security for our IT environment. 4. Works with cloud network infrastructure to configure firewall, security policies and monitor network traffic. 5. Develop and maintain documentation following NIST guidelines. 6. Project Manager; 7. Data Administration; 5 Education Bachelor's Degree in Computer Science, Information Systems or other related field. Or equivalent work experience. Preferred Certifications (PCNSE, CISSP, CCNP, CCIE) 6. Experience 1. Typically have 5 to 10 years of combined IT and security work experience with a broad range of exposure to systems analysis, applications development, database design and administration 2. Three to five years of experience with information security tools based on NIST standards. 3. Requires knowledge of security issues, techniques, and implications across all existing computer platforms. Preference given for experience with NGFW Palo Alto or Checkpoint security products. 4. Experience using schematic diagramming tools to map infrastructure layouts. 7 Primary Job Duties/ Tasks Senior Network Engineer - Job Duties 1. Develops, implements, and manages enterprise security solutions across multiple IT functional areas, including network infrastructure, data, systems, cloud environments, telecommunications, and Web-based services. Designs and maintains secure network architectures, segmentation strategies, access controls, firewalls, VPNs, encryption technologies, and other security controls. 2. Develops, implements, and maintains enterprise security policies, standards, procedures, and technical controls governing user authentication, privileged access, network access, security monitoring, vulnerability management, firewall administration, encryption, remote access, and incident escalation. Ensures security practices align with organizational requirements, industry standards, and applicable regulatory requirements. 3. Performs security risk assessments and develops risk-based response strategies for enterprise network and infrastructure environments. Prepares executive-level status reports, risk assessments, security metrics, and recommendations addressing vulnerabilities, emerging threats, security incidents, and operational risks. 4. Monitors, analyzes, and responds to cybersecurity threats and security events, including malware, software vulnerabilities, unauthorized access attempts, network anomalies, and policy violations. Administers and monitors security profiles and access controls, reviews security alerts and violation reports, investigates security exceptions, and coordinates remediation activities. Maintains comprehensive documentation of security controls, configurations, incidents, and corrective actions. 5. Evaluates emerging network and security technologies, products, and procedures to improve infrastructure reliability, security, performance, and operational efficiency. Leads technical evaluations, proof-of-concept activities, product assessments, and implementation recommendations for enterprise networking and cybersecurity solutions. 6. Provides advanced technical support and consultation to business and IT stakeholders on complex network, infrastructure, and cybersecurity issues. Troubleshoots escalated network and security incidents, provides technical guidance to infrastructure teams, and educates IT and business personnel on security policies, secure configurations, access requirements, and risk mitigation practices. 7. Provides security expertise and technical leadership throughout the IT project lifecycle, including requirements development, architecture and design, implementation, testing, deployment, and operational support. Reviews project designs and proposed solutions to identify security risks and ensures appropriate security controls are incorporated into network, cloud, application, and infrastructure initiatives. 8. Designs, implements, and supports enterprise network infrastructure, including LAN/WAN, routing and switching, wireless networks, firewalls, VPNs, network segmentation, Internet connectivity, cloud connectivity, and data center infrastructure. Develops network solutions that support high availability, resiliency, scalability, and security requirements. 9. Leads the investigation and resolution of complex network and security incidents, utilizing network monitoring, logging, packet analysis, performance data, and security tools to identify root causes and implement corrective actions. Coordinates with vendors, technical teams, and organizational stakeholders during critical incidents and service disruptions. 10. Develops network security architecture and segmentation strategies designed to limit lateral movement, protect critical systems, isolate sensitive workloads, and establish appropriate security boundaries between users, applications, devices, and infrastructure. Evaluates east-west and north-south traffic flows to identify security risks and opportunities for improved network controls. 11. Establishes and monitors network performance and security metrics to identify trends, capacity requirements, vulnerabilities, and potential operational risks. Develops dashboards, key performance indicators, and management reports to support data-driven infrastructure and security decisions. 12. Maintains technical documentation and configuration standards for network and security infrastructure, including network diagrams, IP addressing, VLANs, firewall rules, access controls, security configurations, operational procedures, and disaster recovery requirements. Ensures documentation remains accurate and aligned with the current enterprise environment. 13. Collaborates with architecture, cybersecurity, systems, database, application, cloud, telecommunications, and infrastructure teams to develop integrated technology solutions. Serves as a senior technical resource and provides guidance on enterprise networking, security architecture, infrastructure design, and technology modernization. 14. Provides technical leadership and mentoring to network and security staff, establishes network engineering standards and best practices, reviews technical solutions, and assists with the development of team capabilities in enterprise networking, cybersecurity, cloud infrastructure, and emerging technologies. Senior-Level Requirements Must have extensive knowledge and demonstrated experience in enterprise networking, cybersecurity, systems, databases, cloud infrastructure, and/or Web operations. The senior-level Network Engineer is responsible for developing and implementing enterprise network and security strategies, leading complex technical projects, designing secure and resilient infrastructure, resolving the most complex network and security issues, conducting risk assessments, evaluating emerging technologies, and providing technical guidance to IT and business leadership. The position requires advanced knowledge of network architecture, routing and switching, firewalls, VPN technologies, network segmentation, wireless infrastructure, cloud networking, identity and access management, security monitoring, incident response, vulnerability management, disaster recovery, and enterprise security controls. 8 Job Specific Skills and Abilities (KSAs): Intermediate professional level role. Works independently or on multiple IT security projects as a project team member, occasionally as a project leader. Works on small to large, complex security issues or projects that require increased skill in multiple IT functional areas. May coach more junior staff. 9 General Knowledge Skills and Abilities (KSAs): The submitted candidate must be able to apply common knowledge, skills, and abilities in the following areas: 1. Communication: Have the ability to clearly convey information, in both written and verbal formats, to individuals or groups in a wide variety of settings (i.e.; project team meetings, management presentations, etc.). Must have the ability to effectively listen and process information provided by others. 2. Customer Service: Works well with clients and customers (i.e.; business office, public, or other agencies). Able to assess the needs of the customer, provide information or assistance to satisfy expectations or resolve a problem. 3. Decision Making: Makes sound, well-informed, and objective decisions. 4. Flexibility: Is open to change, new processes (or process improvement), and new information. Has the ability to adapt in response to new information, changing conditions . 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

Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved communities around the world. As a Software Development Manager (SDM) you will be responsible for owning the team's roadmap and ensuring the strategic visions is executed. You will be responsible for gathering customer requirements, project prioritization, software quality, and system delivery. You will help mentor, develop, and the guide the engineers responsible for the system development. As a SDM, you will lead and work with a talented team to innovate and deliver distributed software systems responsible for operational tooling applications built to execute the Leo mission. You will work with engineering teams across ground and space systems to understand how the system functions and deliver an integrated solution to prepare for and execute the mission. Because of the scale of the mission, your team will be focused on creating performant applications and systems and driving operational excellence - identifying areas of improvement and initiating changes to improve the productivity of the fleet. Your team will build and maintain the tooling system used across Leo to support activities like launch and on-orbit demonstration, operational rehearsals, constellation automation, as well as numerous other critical mission functions. While this tooling system is mostly frontend applications, you will also own the architecture and backend systems that support these applications. The ideal candidate will be detail oriented, an excellent communicator, have strong organizational skills, able to work independently, can juggle multiple tasks at once, and ensure deliverables meet requirements and deadlines. You should have strong knowledge software engineering practices, enjoy mentoring and developing the engineers that work on your team. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities - Build, lead and manage a diverse team of engineers. - Provide technical guidance for the team in addressing projects with broad scope and limited definition to ensure test and design objectives are met. - Define team growth expectations and organization strategy. - Coordinate internal and external resources to ensure team and project success. - Communicate fluidly across a variety of teams to identify product risks and how they will be addressed to ensure mission success. - Juggle multiple priorities while optimizing the system and schedule. - Apply critical thinking in complex situations, ambiguous environments and tight timelines. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment - Experience in Space Vehicle/Satellite Operations, Space Communications or related industry 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, Redmond - 184 200.00 USD annually

Amazon Web Services (AWS) is a fast-paced technology company and a leader in the world of data centers. AWS is growing rapidly, and we are looking for a Senior Manager to join our expanding Infrastructure Operations team. The Senior Manager is one of our most senior management roles in the data center environment. In this role, you will be responsible for leading a large organization, managing department heads who own data center facility infrastructure including the operational availability of mechanical, electrical and plumbing systems. The pace, scale, and growth of Amazon's data center platform will challenge you. Our uncompromisingly high standards as we continually seek to innovate on behalf of our customers will push you to new levels of creativity. At this level, Amazon is unique in that we seek experienced senior leaders who have evolved to be highly strategic in their approach to managing their business unit, yet understand how to lead large teams by example who will not hesitate to roll up their sleeves when tactical needs dictate it. The ideal candidate for this role will understand data center IT infrastructure, data center facilities infrastructure and understand how the two coexist. If you are passionate about Customer Experience, think and act globally and want to contribute to the operational excellence of data centers. This may be the challenge you've been looking for! AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software/hardware, and network engineers, supply chain specialists, security experts, engineering technicians, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Hiring, managing, and developing the operations management team including facilities managers, chief engineering managers and engineering operations technicians. Attainment of organizational performance goals and objectives relating to safety, security, availability, scaling, and efficiency in support of our data center operations. Planning and executing the Infrastructure Operations component of new AWS data center build-outs, new colocation build-outs, AWS data center expansions, and colocation expansions, including the entire mechanical/electrical/plumbing infrastructure to facilitate the daily operation. Operation and maintenance of mechanical, electrical, and controls systems for Amazon data centers to include preventive maintenance, corrective maintenance, and change management. Vendor management of colocation data center services providers, if required, to meet or exceed contracted performance SLA's. Oversight of a preventative maintenance system and the adherence to schedules, evaluation and performance of our infrastructure supporting the data center operations. Experience in successful insourcing and/or outsourcing specific maintenance task balancing internal skillsets with frugality. Safety, security, and availability incident response, incident management, and incident resolution. Continuous improvement of operational processes, procedures, methods, and tools. About the team 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. 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. 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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 - Bachelor's degree or above in Engineering, Computer Science, or a related field - Experience in delivering design solutions for projects of large scope and complexity - Experience managing large teams across multiple locations and languages, or experience as an acting operations manager - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - 5+ years of analytical, quantitative, communication, and presentations experience - 10+ years of relevant work in a data center or other critical environment experience PREFERRED QUALIFICATIONS - Experience with continuous improvement methods such as Kaizen, Lean, DMAIC, etc. - Knowledge of mechanical systems (Mechanical, HVAC systems, Controls) - Experience in one or more IT infrastructure domains (storage, compute, networking, security, software development, systems administration, database engineering or administration, machine learning, cloud infrastructure, big data, DevOps, or other IT infrastructure domain) 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, Wink - 153 500.00 USD annually

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators. Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment. Build infrastructure to systematically analyze and onboard multiple models with diverse architecture. Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models Analyze and optimize system-level performance across multiple generations of Neuron hardware Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks Implement optimizations such as fusion, sharding, tiling, and scheduling Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines. Work directly with customers to enable and optimize their ML models on AWS accelerators Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you're always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. BASIC QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 3+ years of non-internship professional software development experience - 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. - Software development experience in C++, Python (experience in at least one language is required). - Strong understanding of system performance, memory management, and parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS - Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics similar to Triton. - Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments. - Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers . click apply for full job details

Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technicians should be willing to work both independently and with a team. Work prioritization, organizational skills, effective communication, and the ability to react quickly are critical to success. In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an environment that operates 24/7. Traveling within and outside of the regional work area is required. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. This role will be physically based at our new MDD Pecos, TX site. Key job responsibilities - Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, and responding to operational incidents that impact service availability, escalating to senior technicians and management as needed/required - Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors - Performing on-call duties and participating in scheduled maintenance and change management activities - Contributing to documentation and process improvement initiatives based on your analysis of operational issues - Helping to train and onboard new team members Physical requirements: - Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds - Working in cramped and/or elevated locations - Bending, lifting, stretching, and reaching - Standing and walking for up to 8+ hours a day - Ascending and descending ladders, stairs, and gangways safely and without limitation - Work in a noisy environment - Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: - Ability to travel to or commute between data center locations as needed - Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational - Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life As a Data Center Technician professional, you have industry-leading technical abilities and demonstrate a breadth of knowledge while you: -Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution -Solve problems at their root and step back to understand the broader context -Maintain service level agreements through the implementation of proactive issue detection and reporting You will be required to work shift work that will include days/nights/weekends/holidays. Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided. BASIC QUALIFICATIONS - 1+ years of computer/server hardware troubleshooting or related IT experience - High school or equivalent diploma - Work a flexible schedule including weekends, nights, and holidays PREFERRED QUALIFICATIONS - Knowledge of network design, protocols and Layer 1/2 troubleshooting - Associate's degree in a relevant field (e.g., Computer Science, Networking Engineering), or experience in a relevant field (e.g., Computer Science, Networking Engineering) - Experience managing work and priorities through a ticketing system - Experience in a data center or other critical environment 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, TX, Wink - 27.98 - 48.99 USD hourly

Senior Web Optimization Engineer (NOT A REMOTE POSITION) Senior Web Optimization Engineer Senior Web Optimization Engineer Location: Hybrid, Hoffman Estates, IL (THIS IS NOT A REMOTE POSITION) Schedule: Mondays, Tuesdays, Thursdays / In Office: Wednesdays and Fridays Remote Employment Type: Full-time Salary Range: $85,000-$110,000 per yr. About JumpFly JumpFly is an independent digital marketing agency that has helped businesses grow through paid media, SEO, marketplace advertising, email marketing, and digital strategy since 2003. We are expanding our Conversion Rate Optimization and Website Services capabilities and are hiring a Senior Web Optimization Engineer to help build and scale this new service line. About the Role We're looking for a hands-on technical counterpart to join our CRO team to help shape optimization strategy, audit client websites and implement prioritized recommendations. You should be strong in working knowledge of web analytics and conversion optimization principles. Ideal Candidate Profile The ideal candidate is a senior, hands-on web optimization expert who can move from analysis to action. You can quickly understand how a website works, identify the most meaningful opportunities, explain your recommendations to clients, and implement improvements safely. You combine CRO judgment with strong technical execution. You are comfortable across lead-generation and ecommerce experiences, use data to guide priorities, and look for repeatable solutions that improve delivery over time. Required Qualifications 5 or more years of relevant web development, analytics implementation, or website optimization experience, or equivalent senior-level capability Hands-on experience implementing and troubleshooting production website changes in WordPress and Shopify or a comparable ecommerce platform Strong HTML, CSS, JavaScript, and browser-debugging skills, with experience building responsive, production-ready web experiences Strong GA4, Google Tag Manager, data-layer, conversion-tracking, and analytics implementation experience Demonstrated ability to conduct technical website audits and turn findings into prioritized recommendations Working familiarity with experimentation platforms, behavioral analytics, Core Web Vitals, technical SEO, and accessibility standards Strong technical judgment, troubleshooting, client communication, and experience safely delivering work across multiple website environments Bachelor's Degree Preferred Qualifications Additional experience with experimentation platforms, test design, or statistical analysis Additional experience with Shopify Liquid, Adobe Commerce, ecommerce analytics, or complex data-layer implementations Experience with New Relic, PHP, APIs, integrations, or visual-regression testing Agency or consultancy experience, including helping standardize or productize a web optimization service If you do not meet all the above requirements STOP! DO NOT APPLY FOR THIS POSITION! Core Responsibilities Conduct technical website audits covering architecture, CMS constraints, analytics, conversion paths, performance, accessibility, integrations, and implementation risks Implement, audit, and troubleshoot GA4, Google Tag Manager, data-layer events, form tracking, conversion tracking, and ecommerce tracking; establish reliable baseline metrics Implement approved CRO and website improvements, including landing pages, forms, navigation, checkout flows, responsive layouts, and reusable components Estimate effort, identify dependencies and risks, and recommend maintainable implementation approaches Present findings clearly and participate in client discovery, scoping, planning, and troubleshooting when technical or CRO expertise is needed Why Join JumpFly Help build a new optimization-focused service within an established, independent digital marketing agency Work directly with clients across varied industries, business models, and technical environments Collaborate with experienced paid media, SEO, design, and strategy teams Combine strategic CRO guidance with hands-on implementation Help define the standards, tools, and repeatable solutions used as the division grows Benefits Hybrid office with 2 remote working days per week Competitive starting salary based on experience Retirement plan with 3% company match, immediate vesting $475/month towards our group health and dental plan Two weeks paid vacation in the first year Casual, friendly work environment Compensation details: 00 Yearly Salary PI4dba8d93cc50-9737