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Job Description Our client, a rapidly growing force in the CPG and wellness sector, is seeking a dynamic and experienced Head of D2C to elevate our direct-to-consumer strategy and execution. This pivotal role will own the end-to-end performance of our D2C channels, serving as the strategic partner responsible for driving aggressive revenue targets and ensuring an exceptional customer journey. Reporting directly to the Senior Vice President of Commercialization, this position offers a unique opportunity to shape the future of our D2C business, which is the foundation of our company's success. We are looking for a hands-on leader who thrives in a high-growth, "scrappy" startup environment, capable of independent leadership and growth within the company. The ideal candidate will be a strategic thinker with a keen eye for operational excellence, willing to "roll up their sleeves" to get things done, and proactively identify opportunities for improvement and scaling. Location: Remote East Coast — This is a remote position, though candidates must be available to work East Coast hours. KEY RESPONSIBILITIES • Own the comprehensive performance and health of the D2C channel, including aggressive revenue targets and overall business growth., • Lead the end-to-end execution and optimization of the website business, ensuring a pixel-perfect customer experience., • Drive day-to-day operational excellence, ensuring the e-commerce business runs smoothly, efficiently, and with continuous improvement., • Manage and inspire a dedicated e-commerce manager, fostering a high-performance team culture., • Oversee and collaborate with external partners, including development agencies, CRO agencies, and the Amazon agency (OMP), ensuring timely and effective execution., • Partner strategically with the marketing growth team (Meta, Google, TikTok Shop) to optimize paid revenue channels and drive qualified traffic to the website., • Collaborate with the internal customer lifecycle team on email, SMS, CRM, and subscription strategies to enhance customer engagement and retention., • Proactively identify and implement improvements across the D2C ecosystem, scaling processes and technologies to support rapid business expansion., • Translate strategic objectives into actionable plans, ensuring efficient task execution and adherence to timelines across all D2C initiatives. REQUIRED / MUST-HAVE QUALIFICATIONS • Minimum of 8+ years of progressive experience in D2C e-commerce leadership roles, demonstrating a strong trajectory in driving revenue growth., • Mandatory experience in the Consumer Packaged Goods (CPG) industry, with a strong understanding of CPG go-to-market strategies., • Proven proficiency in Shopify, with hands-on experience managing and optimizing the platform for performance and customer experience., • Demonstrated ability to operate effectively and execute in a high-growth startup environment, embracing a "scrappy" and lean operational style., • Exceptional leadership skills with experience managing direct reports and external agency partners to achieve business objectives., • Strong analytical mindset with the ability to leverage data to drive decisions, identify opportunities, and communicate insights to cross-functional teams., • Highly organized with a meticulous attention to detail, ensuring flawless execution and a superior customer journey., • Ability to proactively identify challenges and opportunities, translating them into scalable solutions for business improvement. COMPENSATION & BENEFITS • Compensation: $180K- $200K+ Base salary, • Healthcare and 401K (match coming 2027), • Work Arrangement: Remote position. Candidates must be available during East Coast hours, with some flexibility for those in other time zones. If this sounds like the position you have been waiting for, please apply using the online application or the link below - all inquiries are strictly confidential. Our focus is to assist you to make your best next career move, and we will not use your information for any other purpose. Kalon Executive Search is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. www.KalonSearch.com

We are seeking an Sr Embedded Engineer to lead the design and development of audio signal-processing subsystems for robots. You will own core audio algorithm design and implementation, requiring a deep mathematical foundation in signal processing and a strategic understanding of embedded systems. \n \n \nKey job responsibilities\n \n- Architect the audio processing pipeline at the embedded system level. \n \n \n- Serve as the subject-matter expert on audio and signal-processing algorithms, providing technical guidance across electrical, mechanical, ID, and software teams \n \n \n- Integrate and validate DSP algorithms on embedded, real-time platforms \n \n \n- Research and specify electroacoustic components (microphones, speakers) \n \n \n- Adapt and tune algorithms for varying hardware, software, and system constraints \n \n \n- Collaborate cross-functionally with engineering, systems, software, and product management \n \n \n- Manage and direct external audio and acoustics consultants, defining SOWs and integrating third-party acoustic design inputs into a program \n \n \n- Partner with vendors on test and production activities \n \n \nAbout the team\n \nFauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces. \n \n \nWe believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products. \n \n \nOur work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful. \n \n \nAt Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build. \n \n \nIf you care about making robotics real for everyone and building systems that are as delightful as they are capable, we’re interested in hearing from you. \n \nBASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience\n \n- 5+ years of programming with at least one software programming language experience\n \n- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience\n \n- Experience as a mentor, tech lead or leading an engineering team\n \n- 7+ years developing DSP algorithms for embedded or real-time systems\n \n- Proficiency in C/C++ and Python or MATLAB for signal-processing algorithm development\n \n- Experience with microphone and speaker selection and characterization\n \n- Deep signal-processing fundamentals: time/frequency duality, discrete-time signal processing, fixed- and floating-point implementation\n \n- Hands-on prototype builds, hardware bring-up of audio subsystems, or design iteration cycles\n \n- Practical knowledge of ML architecture design, data analysis, and training/evaluation methodologies for audio systems\n \n- Experience with board bring-up, profiling, optimization, simulation, and manufacturing test fixture design, production test plans, yield analysis, and test-to-spec validation\n \n- Experience debugging embedded systems and working with audio lab equipment (oscilloscopes, power analyzers, motor test benches)\n \n- Proven ability to work effectively across cross-functional teams at all organizational levels\n \n- Bachelor's degree in Electrical Engineering, Computer Engineering, Audio/Acoustics, or a related field\n \nPREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\n \n- Familiarity with mechanical integration of electroacoustic components\n \n- Experience with signal detection and estimation, spatial audio, direction-of-arrival estimation, acoustic event detection, keyword spotting, or ML for embedded systems\n \n \nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n \n \nOur 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n \n \n 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 https://amazon.jobs/en/benefits. \n \n \nUSA, NY, New York - 184,900.00 - 250,200.00 USD annually

Machine Learning Engineer 4 - Manager IC\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One—ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging.\n, • 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization.\n, • 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus).\n, • 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n 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. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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 DescriptionAbout Loop Loop is building the AI workforce for the restaurant industry. Our AI agents automate complex workflows across finance, operations and marketing—turning fragmented data into clear decisions and action. Built by our in-house team of AI engineers, strategists and industry experts, Loop gives restaurant brands the intelligence and execution power to grow revenue, protect margins and scale. Backed by $14 million in Series A funding, Loop has grown in just four years to serve more than 14,000 restaurant locations, supporting billions of dollars in restaurant revenue across some of America’s most recognizable brands. We bring the capabilities of a sophisticated back office to every location—giving teams more time to focus on their food, their guests and their growth. Behind Loop is a team of entrepreneurs, operators and AI engineers with experience at Uber, Google, Amazon and McKinsey, spanning technology, management consulting and investment banking. With offices in San Francisco, New York, Tampa and India, we’re building the intelligence layer behind the next generation of restaurant operations. About the Role Finance is one of the few functions that touches every meaningful decision a company makes. Hiring. Product investment. Pricing. Expansion. Fundraising. Cash management. Every one of them ultimately becomes a finance decision. As Vice President of Finance, you'll build the financial operating system that helps guide Loop through its next stage of growth. This isn't about reporting what happened last month. It's about helping determine what happens over the next three years. You'll work directly alongside the founders, shaping company strategy through financial insight, commercial thinking and disciplined execution. You'll build the operating model, own the planning cadence, prepare the board materials, support investor conversations and ensure every major decision is grounded in robust financial analysis. This is a builder's role. You won't inherit a large finance organisation. You'll build the operating model yourself. You'll create the first board packs yourself. You'll own the forecasting process yourself. You'll establish the systems, discipline and financial infrastructure that will support the business as it scales. The right person enjoys moving effortlessly between strategy and execution—comfortable presenting to investors in the morning, building a three-statement model after lunch, and partnering with Product, Sales or Engineering before the day ends. If you're looking to hide behind spreadsheets, this isn't the role. If you want to become one of the key people helping build an iconic AI company from the inside, we'd love to speak with you. ResponsibilitiesBuild Loop's Financial Operating System Own the financial architecture of the business. Build the models, planning processes and operating cadence that help leadership make faster, smarter decisions. Design finance to scale long before it has to. Own Financial Planning & Analysis Own company-wide budgeting, forecasting and long-range planning. Build integrated operating models covering revenue, hiring, burn, runway, headcount, infrastructure investment and multiple growth scenarios. Turn financial planning into one of the company's competitive advantages. Be the Founders' Strategic Finance Partner Work directly with the founders on the company's biggest decisions. Challenge assumptions and pressure-test investment decisions. Provide financial clarity when the path forward isn't obvious. Help leadership understand not only what the numbers say—but what they mean. Lead Board & Investor Finance Own every financial interaction with the Board and investors. Prepare board packs that tell a clear story rather than simply reporting numbers. Develop investor presentations. Support fundraising, due diligence and financial requests from existing and prospective investors. Help the business communicate confidence through financial discipline. Own Cash & Capital Manage the company's cash with founder-level ownership. Build sophisticated cash flow forecasts. Model fundraising scenarios. Monitor burn multiple, runway, hiring capacity and investment priorities. Help leadership understand exactly how today's decisions affect tomorrow's opportunities. Build Commercial Finance Partner with Sales, Product, Customer Success, Operations and Engineering. Evaluate pricing strategy and commercial opportunities. Analyse customer profitability and unit economics. Develop dashboards that move beyond reporting into decision-making. Help every function understand how financial performance connects to operational performance. Build Scalable Finance Operations Own accounting oversight, payroll, reporting, controls and governance. Strengthen systems, automate reporting and improve operational efficiency. Manage relationships with auditors, tax advisers, banking partners and external providers. Ensure the business remains audit-ready as it scales. Build the Future Finance Team Begin as a highly hands-on individual contributor. Build the finance function deliberately as the business grows. Hire, mentor and develop exceptional finance talent over time. Create a culture of ownership, commercial thinking and operational excellence. Who You Are You are most likely a strong candidate for this role if you: Have 10+ years of finance experience within high-growth venture-backed technology companies. Have helped build finance inside a Series A, B or C business rather than simply operating inside a mature organisation. Have personally built forecasting models, board packs and financial plans—not simply reviewed work prepared by large teams. Have supported fundraising, investor diligence or venture capital reporting. Have significant experience with FP&A, financial modelling, forecasting, budgeting and cash flow management. Think commercially before you think technically. You understand that finance exists to help the business make better decisions. Have worked directly with founders or executive leadership where finance was part of every major strategic discussion. Can explain complex financial concepts simply and influence leaders who don't come from finance backgrounds. Enjoy solving ambiguous problems where there isn't a textbook answer. Thrive operating with high ownership and minimal bureaucracy. Demonstrate Loop's cultural defaults: radical ownership, customer obsession, intellectual honesty, urgency, curiosity and the discipline to execute. Preferred Spikes Having one or more of the following makes you a preferred candidate, in addition to the above: You've helped scale a venture-backed business through multiple funding rounds. You've built board reporting that investors genuinely looked forward to reading because it explained the business—not just the numbers. You've partnered directly with CEOs or founders on company strategy, capital allocation and long-term planning. You've built finance functions from the ground up, selecting systems, establishing reporting rhythms and creating scalable processes. You understand SaaS, AI or enterprise software economics, including ARR, gross margin, retention, customer acquisition economics and unit economics. You've implemented ERP or FP&A platforms such as NetSuite, Pigment, Mosaic, Anaplan or similar. You hold a CPA, ACA, ACCA, CFA or MBA, although outstanding operating experience matters more than credentials. Equal Opportunity, Accessibility & Reasonable Accommodations Loop AI is an equal opportunity employer. We do not discriminate against applicants or employees based on race, color, ethnicity, national origin, ancestry, religion or creed, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender, gender identity or expression, age, disability, genetic information, marital or familial status, military or veteran status, or any other characteristic protected by applicable law. This commitment applies to recruitment, hiring and all other aspects of employment. We are committed to an accessible, inclusive hiring process and provide reasonable accommodations for disabilities, sincerely held religious beliefs and practices, pregnancy-related limitations, and other needs protected by applicable law. If you need an accommodation to apply, participate in an interview or assessment, or access any part of our recruitment process—including AI-supported assessments—please contact your recruiter. Requests may be made at any stage, verbally or in writing. We will work with you promptly to identify an effective accommodation. Requesting an accommodation, raising a discrimination concern or exercising your legal rights will not negatively affect your candidacy or result in retaliation. Medical information provided in connection with an accommodation request will be kept confidential, maintained separately from recruitment evaluation records and disclosed only as permitted by law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Delivery E-Bike Driver – Amazon DSP - $21 per hour Urgently hiring for overnight shift starting at 330 AM, lunchtime shifts starting 11am - 1pm, evening shifts starting at 530 PM. Prioritizing applicants as well who only want to work weekends! ** Are you looking for an opportunity to work independently, stay active, and make a meaningful impact in your community? Highgate Logistics is based in West Harlem, minutes walk from the 125th street A,B,D, 1, 9 train and an Amazon Delivery Service Partner (DSP) delivering to the Upper East Side and Upper West Side. We always put SAFETY FIRST and are looking for team members who share the same mindset. Highgate is proud to be a woman and minority owned business, who's founder has 20+ years experience leading high performing delivery teams in the NYC area. Why You’ll Love This Job • Competitive Pay & Benefits – Earn more while enjoying perks like paid time off, health insurance for all full and part time employees, 401K with match, • Independence & Flexibility – We have multiple 4 -5 hour shifts , available 7 days a week. You will be started with 20-25 hrs per week, 1 weekend shift, and can flex up to full time based on your availability. We are extremely flexible with your schedule, but we need dependable team members in return., • Opportunities for growth – Team Lead, Dispatcher, training and development support., • Team-Oriented Culture – Work in a fast-paced, supportive, and fun environment . What You’ll Do • Safely operate an Amazon-branded E-Bike to deliver packages throughout Manhattan, NY., • Use a handheld device for navigation and delivery updates., • Must be willing to follow direction and follow all safety guidelines - obey all traffic laws in NYC, wear safety equipment, etc., • Work as part of a team, supporting fellow bikers to ensure timely deliveries., • Handle packages up to 50 lbs and navigate stairs as needed. What You Need • Must be at least 21 years old and eligible to work in the U.S., • Ability to work in all weather conditions, • A team-player mentality and great dependability Compensation & Benefits • Paid training and paid overtime when needed., • Health insurance ., • Paid time off, • Must be available to work at least one weekend day per week and a minimum of 3 X (4-5 hour shifts). Most employees work 25- 40 hrs weekly based on availability and preferences. We are an Equal Opportunity Employer and welcome all qualified applicants, regardless of age, national origin, race, color, disability, religious beliefs, or sexual orientation. Apply today and start delivering smiles with Highgate Logistics, an Amazon Delivery Service Partner. Job Types: Full-time, Part-time Pay: $21.00 per hour Expected hours: 20.0 – 40.0 per week Application Question(s): • Are you over the age of 21?, • We are prioritizing those that can work overnight shift (330 AM - 730am) and evening shift (530 PM - 1030 PM) . Can you work those shifts? What days? Thank you. Ability to Commute: • Manhattanville, NY 10027 (Required) Work Location: In person

Job Description Join SPYN Logistics as an E-Bike Delivery Driver Delivery Experience Preferred Driving Experience Required Shifts Times Have Been UPDATED To: • 3:00AM – 7:00AM is needed, OR, • 7:00PM – 11:00PM is needed SUNDAY Availability Mandatory, Saturdays Preferred. Employees choose to work one of the two shift options above, but not both. AM or PM Schedules, up to 2 shifts a day are allocated based on AM or PM Availability. What We Offer: • Starting Pay: $21.00/hr, • Flexible Schedules: Part-time, Full-time, and flexible shifts (early morning to late evening), • Training Provided: 2-day paid training classed, • Benefits for Full-time: PTO, Healthcare Job Highlights: • Drive Amazon-branded E-bikes (training provided), • Deliver 25-50+ packages daily (up to 50lbs), • Work 2-6 days/week, with flexible shifts ranging from 4 hours (Single Shift) to 8 hours (Double Shift) a day, • Shift start times available in the morning, afternoon, and evening, • Deliveries routed to the Upper West Side and Upper East Side., • Interact professionally with customers and ensure timely deliveries What You Need: • Be at least 21 years old & legally authorized to work in the U.S., • A valid non-expired ID for the state of employment License/Certification: • Driver's License or Permit (Required) Career Growth: • On-the-job training & advancement opportunities (Trainer, Dispatcher, HR, Operations Manager) If you’re ready to stay active, work independently, and be part of a motivated team, apply today to schedule your interview! SPYN Logistics – Delivering Excellence, One Package at a Time. Job Type: Part-time Pay: From $21.00 per hour Benefits: • Dental insurance, • Flexible schedule, • Health insurance, • Paid time off, • Referral program, • Vision insurance People with a criminal record are encouraged to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy, or any other characteristic protected by law. We commit to fostering a fair and merit-based workplace where every employee is valued and respected. Application Question(s): • What languages do you speak?, • Please confirm that you are available to work AT LEAST 3:00am-7:00am OR the 7:00pm-9:30pm shifts, INCLUDING Weekends. Please select the preferred shift below., • Tell us about a time you went above and beyond for a customer. Work Location: In person

Job DescriptionAbout Client: Client is a multinational technology and consulting company known for its expertise in providing IT services and solutions. With a global presence, it offers a wide range of services including digital transformation, application development, infrastructure management, and business process outsourcing. The company has a strong focus on innovation, leveraging emerging technologies such as artificial intelligence, cloud computing, and data analytics to drive client success. Client is committed to delivering high-quality results and ensuring customer satisfaction through its team of skilled professionals and robust project management methodologies. Rate Range: $65-$70/Hr Job Description: • We are seeking a Senior Python Developer with strong experience in designing, developing, and deploying cloud-native software products and solutions., • The ideal candidate should have hands-on expertise in both front-end and back-end development, with proficiency in:, • Python, • JavaScript, • Django, • Vue.js Responsibilities:, • The Full-Stack Developer will work closely with clients, digital leaders, solutions architects, and technical/ functional leads across digital teams and market segments to support client projects and provide solutions for growth efforts and capabilities build-out., • Serve as a key member of the modernization team to support technical challenges/demos, building innovative solution prototypes using cloud architectures and software technologies., • Solutions architecture and hands-on engineering/full-stack development of scalable and secure distributed systems using modern software technologies and programming, Cloud Native and microservices architecture, containerization, and API-First design patterns., • Work collaboratively with user experience designers, platform engineers, product owners, solution architects, and business analysts, the Cloud Applications Full Stack Developer will design, build, test, and deploy high-value, operationally resilient software products on the AWS cloud platform that satisfy functional and non-functional requirements.Requirements:, • A bachelor's degree is required, or a Minimum of 10 years of relevant experience, • Minimum of SIX (6) years of prior relevant experience in full-stack application development, • Minimum of THREE (3) years of experience with cloud applications development to build /modernize applications and datasets on the AWS cloud, • Experience and proficiency in implementing frontend and backend services for cloud-native software products and solutions such as Python, JavaScript, Django and Vue.JS., • The must-have skills include proficiency in Python and JavaScript., • For Django experience, candidates can alternatively have experience with Flask, FastAPI, Falcon, or SQLAlchemy., • Similarly, for Vue.JS experience, alternatives include React, Svelte, or Angular (version 1.6 or higher)., • Proven ability to work autonomously and collaborate, mentor, help, and support other team members, as needed, to solve complex technical problems., • Proven ability to develop software products and solution prototypes and use prototypes to validate technical solution strategies and communicate and explain the pros and cons of complex design alternatives., • An in-depth understanding of Agile and Scaled Agile practices and principles, with experience. Must be an experienced Agile practitioner with proven ability to plan and implement software products with agility. Nice To Have:, • Certification: AWS Certified Developer Amazon Web Services, • Flask, Docker, EKS/Kubernetes, AWS Step Functions, Event Bridge, AWS Lambda, AWS API Gateway, Elasticsearch, Caching frameworks, Redis, Memcached, the Amazon Relational Database Service (RDS) for Postgres, and/or the MongoDB NoSQL database service., • Certification: AWS Certification Solutions Architect - Amazon Web Services, • Solution architecture support for technical volumes of proposals and white papers for RFPs/RFIs and thought leadership initiatives., • Familiarity with the AWS Serverless Application Model (SAM) and proven design patterns, like Model-View-Controller, is required, as is the ability to design and build cloud-based software products that conform to the AWS Well-Architected Framework design principles., • Proficiency in delivering cloud-based software products using contemporary CI/CD pipeline tooling and the ability to continuously collaborate with development, operations, and security (DevSecOps) team members to deliver secure and operationally resilient software products and solutions., • This is a hands-on cloud software developer/engineering position and requires the ability to proficiently and predictably build and deploy custom applications in the AWS cloud., • Proven ability to design, build, test, and deploy software products and solutions on the AWS cloud platform., • Excellent written and verbal communication skills with an ability to handle customer requirements and engineer solutions. About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment. If you have any concerns or queries about your personal information, please feel free to contact our compliance team at compliance@aptask.com. Applicant Consent: By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.

Job Description Cloud Systems Architect Employment Type: Full-Time, Mid-level Department: Information Technology We are seeking a Cloud Systems Architect with experience with cloud infrastructure to engineer and support public, private and hybrid clouds. The ideal candidate will be proficient in a variety of cloud hosts including Amazon Web Services and Microsoft Azure at a minimum. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: - The candidate will be knowledgeable of the most recent updates and developments and act as an advisor to our customer in reference to the cloud management strategies to be employed to take advantage of the benefits offered by cloud computing such as being able to function without any restrictions to the workload, initiate as many workstations as necessary per time period and pay only for what they actually use. - The candidate will also work with the IT Security team to manage and maintain cloud systems security of the data and network resources. - The candidate will also be responsible for engineering on customer premise applications and systems interconnected to cloud resources. - Designs and defines system architecture for new or existing complex computer systems. - Determines systems specifications, input/output processes, and working parameters for hardware/software compatibility and maintenance of system security. - Coordinates design of subsystems and integration of total system. Identifies, analyzes, and resolves program support deficiencies. - Develops and recommends corrective actions. - May provide technical guidance for database administrators and software developers. Qualifications: - Experience with and a complete understanding of the technology required for cloud computing. - Experience with the skills to migrate applications to the cloud. - Be able to build relationships between the customers and the team members. - The ability and the knowledge to integrate services and tools to any and all areas to be used such as networks and data processing. - The ability and the knowledge to implement security information and event management to keep the customer's assets safe. - Experience with meeting or exceeding the requirements of cloud provider service-level agreements Experience with AWS and Azure. - Knowledge of a multitude of programming languages including Python, PHP, Java, Node and Ruby on Rails. - Typically a Bachelor's Degree and 6 years work experience or equivalent experience. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionThe Role In this role, you will be responsible for analysis, design, and development for the Java and Oracle Development Team. This includes representing the team on both large- and small-scale projects while also working on individual tasks. You should enjoy working in a fast-paced environment with dynamic teams across multiple locations. Strong Java development, Oracle expertise, and excellent communication skills are essential. The Team As part of the Agency Lending team, you will provide development and support for the backend/API layer required for the digital platform. You will work closely with stakeholders to build both large- and small-scale features that enhance the application while supporting technology lifecycle management (TLM) initiatives. Under minimal supervision, you will perform analysis, design, and development using Java, PL/SQL, SQL, and AWS technologies. The Expertise You Have 5 years of Oracle and Java development experience. Strong expertise in Object-Oriented Design and Java/J2EE web development. Experience developing applications in UNIX and Windows environments. Strong knowledge of: Core Java JDBC Spring Framework Multi-threading Concurrent and asynchronous application development Experience writing unit and functional test cases. 5 years of experience writing: Complex Oracle PL/SQL Functions Stored Procedures Oracle 12 Shell Scripting Experience with CI/CD tools such as Jenkins. Experience developing and maintaining cloud applications using: Docker Amazon EKS AWS (S3, SQS, SNS, Lambda) Experience with: FIS Global One SB Client UniData Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technology field. The Skills You Bring Ability to work in a fast-paced environment while managing multiple priorities. Strong experience with relational database design and analysis. Self-motivated with the ability to take initiative. Excellent written and verbal communication skills. Experience working in Agile and highly collaborative environments. The Value You Deliver Perform technical and functional analysis to determine the best implementation approach based on business requirements. Design and develop innovative technical solutions for new features and strategic initiatives. Develop and support applications ranging from small enhancements to complex enterprise solutions. Participate in all phases of testing, including unit, integration, user acceptance, and production validation. Create and maintain clear technical documentation and project status updates. Provide production support, troubleshoot application issues, participate in on-call rotations, validate code releases, and support production deployments.

Job Description Software Guidance & Assistance, Inc., (SGA), is searching for an AWS Cloud Infrastructure Engineer for a contract assignment with one of our premier Financial Services clients in New York, NY. The Enterprise Support Infrastructure Engineering team within the Bank's Technology Group is seeking a Senior Cloud SRE to build and maintain resilient, secure AWS infrastructure supporting business applications. This is a hands-on role focused on Terraform, GitLab CI/CD, and deploying custom applications and commercial off-the-shelf (COTS) software in AWS. Responsibilities : • Build, maintain, and troubleshoot AWS infrastructure., • Write and maintain Terraform infrastructure as code to provision AWS services and deploy custom applications and COTS tools., • Build and troubleshoot GitLab CI/CD pipelines for automated deployment and infrastructure rehydration., • Containerize application code and commercial software., • Deploy unfamiliar software into AWS using its installation and operational requirements., • Collaborate with customers and service providers to deliver secure, resilient cloud platforms. Required Skills:, • Strong, demonstrated hands-on proficiency with Terraform for AWS infrastructure provisioning and troubleshooting., • Strong, demonstrated hands-on proficiency with automated GitLab CI/CD pipelines., • Strong AWS infrastructure experience across:, • Compute and containers : EC2, Lambda, ECS, and Fargate., • Storage and databases : S3, EFS, RDS PostgreSQL, and SQL Server on RDS., • Networking : VPC, transit gateways, Direct Connect, ALB/ELB, Route 53, DNS, and data gateways., • Messaging and monitoring : SNS, CloudWatch, and Grafana., • Strong knowledge of IAM, Okta integration, encryption, key management, certificates, vulnerability management, and infrastructure rehydration., • Working knowledge of Java, Python, and Scala., • Familiarity with containerized application stacks, including NGINX, JBoss, Tomcat, and Amazon Corretto., • Knowledge of DevSecOps, Agile/Scrum, and Jira., • Ability to work independently and collaboratively, with a focus on customer outcomes. Preferred Skills:, • Experience with Databricks, Starburst, AWS Glue, and EKS., • Knowledge of AWS Multi-AZ and Multi-Region architectures., • Bachelor's degree in Computer Science., • AWS certifications. By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at info@sgainc.com to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations. SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at https://sgainc.com/ . SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

Job Description Senior / Principal Supply Chain & AI Solution Architect Location: Florida, New York City, or California Work Arrangement: 100% Onsite — 5 Days/Week Experience: 12–15+ Years Role Type: Senior / Principal Solution Architect Domain: Supply Chain, Distribution, Warehouse & AI Job Overview We are seeking a highly accomplished Senior/Principal Solution Architect with deep expertise in Supply Chain, Distribution, Warehouse Management, Logistics, and Fulfillment, combined with strong experience in AI, Generative AI, and intelligent automation. The architect will work directly with business and technology leadership to understand complex challenges, define target-state architecture, design enterprise solutions, and lead onsite/offshore engineering teams. This is a senior, client-facing architecture role requiring exceptional communication, presentation, leadership, and technical architecture skills. Key Responsibilities • Lead architecture for large-scale Supply Chain, Warehouse, Distribution, Logistics, and Fulfillment initiatives., • Conduct discovery and architecture workshops with senior business and technology stakeholders., • Define current-state, target-state, and transition architectures., • Design solutions across WMS, OMS, TMS, ERP, inventory, fulfillment, and logistics., • Design enterprise integrations using APIs, microservices, event-driven architecture, messaging, cloud, and data platforms., • Define application, integration, cloud, data, security, and AI architecture., • Lead onsite/offshore engineering teams through design, development, testing, and deployment., • Identify modernization, scalability, integration, and technology opportunities. AI / GenAI Expertise Experience designing or architecting: • Generative AI / LLM solutions, • AI Agents / Agentic AI, • RAG, • Vector databases / enterprise search, • AI/ML services, • AI data pipelines, • Model/API integration, • AI orchestration, • AI security and governance Experience with Azure OpenAI, AWS Bedrock, Amazon SageMaker, Google Vertex AI, OpenAI APIs, LangChain, LangGraph, or comparable platforms is highly desirable. Required Skills • 12–15+ years of enterprise technology experience., • Significant Solution/Enterprise/Domain Architecture experience., • Deep Supply Chain / Warehouse / Distribution / Logistics knowledge., • Experience with Manhattan, Blue Yonder/JDA, SAP EWM/S4, Oracle SCM, Körber, or similar., • Strong enterprise architecture and integration experience., • Strong API, microservices, event-driven, messaging, and data architecture knowledge., • Strong AWS, Azure, or GCP architecture experience., • Experience integrating modern cloud platforms with legacy enterprise systems., • Strong AI/GenAI architecture experience., • Excellent client-facing, communication, presentation, and workshop skills. Important Requirement 100% onsite — 5 days per week. No remote or hybrid option. No exceptions. Candidate must be willing to work onsite in Florida, New York City, or California. \nCompany Description Innover Global is a technology and digital transformation company focused on helping enterprises modernize their operations through data, cloud, AI, and intelligent automation. The company works with organizations to solve complex business and technology challenges and deliver scalable, enterprise-grade solutions. Innover Global is a technology and digital transformation company focused on helping enterprises modernize their operations through data, cloud, AI, and intelligent automation. The company works with organizations to solve complex business and technology challenges and deliver scalable, enterprise-grade solutions.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Central Cloud Infrastructure Engineer to serve as a principal contributor to our central cloud platform infrastructure. In this role, you will architect, scale, and maintain highly resilient environments across multiple products while driving infrastructure modernization and legacy system integrations. The ideal candidate combines deep technical mastery of modern cloud-native systems with a strong collaborative mindset to interface across engineering teams, troubleshoot complex environments, and provide technical guidance to scale the team's overall competency. What you'll do • Architect, implement, and maintain scalable, reliable, and secure cloud infrastructure environments across multiple company products, • Design and manage infrastructure modernization initiatives (CI/CD, IaC, K8s, AI, etc) and lead the complex integration of legacy or established systems into modern, cloud-native environments, • Craft comprehensive disaster recovery strategies and engineer production-grade technical solutions to safeguard system uptime, • Serve as a technical focal point for troubleshooting, system deep-dives, and resolving infrastructure bottlenecks across both Linux and Windows operating systems, • Ensure global cloud environments continuously meet and exceed stringent security guidelines and technical compliance frameworks, specifically PCI and SOC2, • Lead incident response and root-cause analysis, and champion blameless postmortems and error-budget discipline across the team, • Provide technical leadership and guidance to junior and mid-level engineers, helping to scale the infrastructure team's overall technical competencyWhat we're looking for, • Hold a BS degree in Computer Science (or a relevant technical/engineering discipline) and 5+ years of hands-on experience, or equivalent professional experience (8+ years) working in high-growth cloud environments, • Demonstrate deep production-level technical experience using AWS, Terraform, Atmos, and Python (or equivalent automation language - Bash/Go), • Demonstrate hands-on expertise with a modern observability stack (Datadog or equivalent: APM/distributed tracing, logs, metrics, RUM), including defining SLOs/SLIs and managing monitors-as-code, • Leverage production experience with service mesh and L7 proxies (Envoy/Istio) and Kubernetes ingress in high-throughput request paths, • Utilize advanced operational knowledge of Kubernetes/EKS, Helm, and overall container orchestration, • Apply strong secrets-management and rotation practices (Infisical, Vault, or AWS Secrets Manager) in a PCI/SOC2 context, • Showcase hands-on experience working with managed streaming data infrastructure via AWS MSK (Kafka) alongside various SQL and NoSQL AWS managed database solutions, including Amazon Aurora, • Maintain a strong understanding of cloud networking architecture, security protocols, and firewalls, • Exhibit expert competency managing, configuring, and troubleshooting Linux (and Windows where applicable) server environments, • Use excellent written and verbal communication skills to translate complex infrastructure concepts into clear, actionable technical documentationWhile not required, these are a plus:, • Possess previous experience working inside innovative, high-growth tech start-ups or fast-paced corporate engineering environments 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $225,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AR1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs — without regard to race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law. We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at recruiting@metropolis.io.

Job Description As a Data & AI Engineer, you’ll build and deploy modern data pipelines and generative AI solutions on AWS — from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you’re building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You’ll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready. What You’ll Do: • Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR, • Creating and maintaining data extraction, transformation, and loading processes, • Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB, • Implementing data lakes using S3 and related AWS services, • Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude, • Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases, • Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex, • Writing and testing SQL queries and stored procedures, • Documenting technical solutions and providing knowledge transfer to customers, • Supporting the implementation of data governance and security controls, • Troubleshooting and resolving issues with data pipelines and AI services, • Participating in code reviews and implementing feedback, • Assisting with proof-of-concept implementations for customer engagements Required Skills: • 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development, • 2+ years of hands-on AWS experience with production deployments, • 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents), • Proven track record delivering production AI applications from concept to deployment, • Strong understanding of software engineering best practices (version control, testing, code review, documentation), • Experience working in agile/scrum environments with distributed teams, • Excellent problem-solving skills and ability to work independently with minimal supervision, • Strong written and verbal communication skills for client-facing interactions Preferred: • Technical familiarity with AWS data and AI/ML services and modern data engineering practices, • Hands-on experience with ETL/ELT processes and data transformation, • Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks, • Ability to write and optimize SQL queries across various database platforms, • Knowledge of data modeling concepts and best practices, • Strong analytical and problem-solving skills, • Eagerness to learn new technologies and keep up with cloud and AI innovations, • Excellent communication skills with the ability to explain technical concepts clearly, • Attention to detail and commitment to solution quality, • Collaborative mindset with strong teamwork capabilities, • Experience or interest in automation and infrastructure as code The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to have: Informatica/ETL. Responsibilities • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform, • Understand the full end to end development activities from design to go live for ETL development and Azure platform Recommend and execute improvements • Document component design for developers and for broader communication., • Understand and adopt an Agile (SCRUM like) software development mindset, • Follow established processes/standards, business technology architecture for development, release management and deployment process, • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews., • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements., • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies., • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements., • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems. Requirements • Proven working experience as a data engineer, • Bachelor degree or equivalent in Computer Science, • Skilled in Python object-oriented programming, • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora, • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager, • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms, • Skilled in SQL, • Skilled in Jenkins, • Skilled in JSON, • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica, • Skilled in cloud technologies and cloud computing, • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere, • Determining causes of operating errors and taking corrective action, • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data, • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB, • Programming including coding, debugging, and using relevant programming languages, • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc., • Ability to frame ideas as systems and analyzing the inputs, outputs, and process, • Experience helping an organization to plan and manage change in effort to meet strategic objectives, • Adept at managing project plans, resources, and people to ensure successful project completion, • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

Job DescriptionRole: Databricks Data Engineer – Sales Data Platform Location: Harrisburg, PA – Remote Role Summary We are seeking an experienced Databricks Data Engineer to design and implement a scalable Sales Data Platform using Databricks on AWS. This is a hands-on, architecture-driven role focused on data ingestion, transformation, modeling, and optimization using modern lakehouse architecture patterns. The ideal candidate will collaborate with data engineers, source system teams, cloud platform teams, and downstream consumers to deliver high-quality, governed, and performance-optimized sales datasets. Key Responsibilities1. Architecture and Design Define end-to-end lakehouse architecture on Databricks running on AWS for sales data domains. Design Medallion Architecture (Bronze, Silver, and Gold layers) aligned with enterprise data standards. Establish data modeling standards for sales facts, dimensions, hierarchies, and aggregations. Define scalable ingestion patterns for batch and incremental data loads. Drive performance, scalability, and cost optimization best practices. 1. Data Engineering and Implementation Develop and guide the implementation of PySpark-based data pipelines using Databricks. Implement Delta Lake capabilities, including ACID transactions, schema evolution, schema enforcement, time travel, and versioning. Design and optimize large-scale joins, aggregations, and window functions. Implement Change Data Capture (CDC) and incremental processing using watermarking and change detection. Build idempotent, restartable, and fault-tolerant data pipelines. Develop and maintain data transformations using dbt, PySpark, and Spark SQL. 1. AWS and Platform Integration Design and implement data solutions using AWS services, including: Amazon S3 for data lake storage AWS IAM for security and access control AWS Glue and Glue Data Catalog Amazon CloudWatch for monitoring and logging Optimize Databricks cluster configurations, including job and all-purpose clusters. Implement secure connectivity, secrets management, and access-control patterns. 1. Data Quality, Governance, and Reliability Define and implement data quality checks, validations, and reconciliation processes. Ensure data lineage, metadata capture, and traceability. Implement error handling, auditing, and monitoring frameworks. Support enterprise data governance, security, and access-control requirements. Maintain data accuracy, consistency, and reliability across pipelines. 1. DevOps and Operational Excellence Implement CI/CD pipelines for Databricks notebooks, jobs, and data engineering workflows. Establish code versioning, code review, and deployment standards. Design monitoring, alerting, and service-level agreement (SLA) tracking for data pipelines. Support production stabilization, troubleshooting, and performance tuning. Optimize pipeline execution, cluster utilization, and operational efficiency. 1. Collaboration and Technical Leadership Provide technical leadership and mentorship to Databricks Data Engineers. Collaborate with Sales, CRM, ERP, source system, cloud platform, and analytics teams. Work with downstream data consumers and application teams to understand data requirements. Translate business requirements into scalable technical designs. Conduct technical design reviews and promote reusable engineering standards. Required Skills and QualificationsCore Technical Skills 8+ years of experience in Data Engineering, Data Architecture, or related roles. 4+ years of hands-on Databricks experience. Strong expertise in PySpark and Spark SQL. Strong hands-on expertise in dbt. Deep understanding of Delta Lake. Strong knowledge of AWS services, including S3, IAM, AWS Glue, and CloudWatch. Data Engineering Expertise Experience working with sales data domains, including orders, revenue, pricing, customers, and products. Strong understanding of fact and dimension modeling. Experience with Slowly Changing Dimensions (SCD Type 1 and Type 2). Experience designing large-scale data processing solutions. Experience handling high-volume, high-velocity datasets. Expertise in batch and incremental data processing patterns. Experience implementing Medallion Architecture and scalable lakehouse solutions. Platform and Operational Skills Experience with Databricks job orchestration and scheduling. Strong skills in cluster sizing, performance tuning, and cost optimization. Experience implementing CI/CD for data platforms. Strong troubleshooting, debugging, and root cause analysis skills. Understanding of data quality, governance, monitoring, and reliability practices. Preferred Qualifications Experience with enterprise OneData or Data Mesh initiatives. Exposure to real-time or near-real-time data ingestion. Experience integrating CRM and sales systems, such as Salesforce or SAP sales data. AWS or Databricks certifications. Experience delivering large-scale enterprise data platform transformation programs.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Supply Chain Expert Type: Contract Compensation: $60–$70/hour Location: Remote Role Responsibilities • Construct enterprise supply chain scenarios spanning large-scale demand planning, multi-tier supplier networks, and complex logistics or procurement cycles at Fortune 500 accounts., • Build supply chain tasks across Fortune 500 sourcing and procurement strategy, inventory optimization, distribution and logistics network design, supplier risk management, and S&OP (sales and operations planning)., • Develop supply chain and operations scenarios involving tools such as SAP, Oracle SCM, Blue Yonder, Kinaxis, and enterprise TMS/WMS platforms in Fortune 500 stacks., • Apply enterprise supply chain methodologies (Lean/Six Sigma, network optimization modeling, risk-adjusted sourcing strategies) and produce reference sourcing plans, network strategies, and executive-level supply chain briefings., • Author rubrics that distinguish authentic enterprise supply chain judgment from generic textbook or framework recall., • Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications Must-Have • 5+ years working in supply chain, procurement, or logistics at a Fortune 500 manufacturer, retailer, or logistics provider (Amazon, Walmart, UPS, Procter & Gamble, Unilever) or inside an F500 supply chain/operations organization., • Direct ownership of F500 supplier relationships, F500 distribution networks, or F500 procurement programs., • Fluency in enterprise supply chain tooling and methodologies, plus understanding of how F500 sourcing, procurement, and vendor contract review actually work. Preferred • Prior rubric, supply chain training curriculum, or operations documentation authorship. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Noodle is higher education’s leading strategy, services, and technology partner. We develop infrastructure, provide life-changing learning experiences, and grow the awareness of and the enrollment in some of the best academic institutions in the world. Our vision is “to empower universities to change the world.” We achieve this vision by offering our university partners various products and services that help them be more resilient, responsive, efficient, and interconnected. Online education is the fastest-growing segment in higher education, accounting for 20% of all enrollees and 35% of graduate-level certificates and degrees. It's also getting increasingly competitive, as more and better programs are launched each semester. Universities need to go online quickly, economically, and elegantly, creating programs that students can't wait to tell their friends about and that their professors want to teach. Noodle helps universities bring programs online with flexibility, transparency, alignment, efficiency, and joy. Our EDge product suite is an integrated collection of proprietary, AI-powered, higher education business management SaaS solutions. The largest of these, N:Manage, allows Noodle and University Partners to improve, automate, and scale their processes by breaking down siloed workflows, smartly integrating critical tools and resources, serving up actionable data, and providing a vehicle for active network connection. As our Lead Engineer, Engineering (EDge Product Suite), you will: • Assist Technology Leadership in hiring recommendations, resource allocation, and project prioritization., • Collaborate with the EDge Product Suite Product Manager in prioritization and designing enterprise-level features., • Define and document organization-level engineering policies and best practices., • Propose and implement the strategic use of AI engineering tools to enhance product development and team efficiency., • Design and implement agentic systems that integrate with existing products., • Provide technology choice, implementation, and improvement recommendations to team leads and engineers., • Independently audit and propose initiatives to address deficiencies in Noodle’s technology products and processes., • Work to improve overall software quality by implementing and leading code review, automated testing, continuous integration, and other QA best practices., • Assist in high-level technology design and project planning., • Responsible for scaling the suite of EDge applications and continue to aim for a serverless infrastructure where applicable., • Mentor and act as the line manager for EDge team engineers, assisting with day-to-day duties as needed as well as providing technical and career development advice., • Perform other duties as assigned.You have:, • 5-8 years of experience in several core programming languages and related frameworks., • Bachelor's degree and/or equivalent business experience., • Familiarity with industry-standard tools necessary to do your job., • A keen interest and capability in using AI engineering tools., • Experience designing and implementing agentic systems and associated tools and frameworks (LangGraph, LangChain, LangFuse, OpenAI Agents SDK), • Proven track record working in agile methodologies to manage product development with the software development team., • Critical thinker and data-driven, able to identify the right problem to solve, • Strong strategic, analytical, communication, and management skills, and a proven ability to influence others, • Respect and understanding of other disciplines; including User Experience, Product Development, Quality and Release, • Web technology: Python, NodeJS, ReactJS, Bootstrap, ANT Design, SSO, AWS AppSync (GraphQL). Golang experience is advantageous., • Cloud: Amazon, EC2 instances, serverless technologies including AWS Lambda, SNS, API Gateway., • Database: PostgreSQL, AWS Aurora., • Excellent verbal and written communication, presentation, and stakeholder management skills with an ability to effectively communicate and interact with all levels of management, • Proven track record managing multiple, complex projects from conception through implementation, • Proven ability to successfully manage a team with strong leadership and team coaching skills, • Excellent client engagement and relationship management skills, • Working knowledge of Google Workspace (Docs, Slides, Sheets), • Ability to work effectively in dynamic, rapidly changing, team-based environment At Noodle, we hire people who will help us change the future of online education. Even if you don't think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential. Meet the team! Noodle Benefits: • Work from our beautiful NYC office OR the comfort of your home office!, • Computer and charger on us!, • 401(k) with company match, plus equity opportunities, • Medical, dental, and vision insurance for you and your family (including mental health benefits like Headspace and Talkspace), • Employer-paid life and disability insurance, • Optional voluntary coverage, including supplemental life, accident, critical illness, and hospital insurance, • Health Savings Account (HSA), Flexible Spending Accounts (FSA), and commuter benefits, • Pre-tax benefit options that help you save on eligible healthcare, dependent care, and commuting expenses, • Employee Assistance Program (EAP), • Paid parental leave, • Wellness initiatives and resources, • Free subscription to the Calm app, • Employee discount program, • 4 weeks of paid vacation + 10 paid holidays + paid sick leave, • Monthly mobile connectivity stipend, • Annual education stipend for lifelong learning, • Growth opportunities - we pride ourselves on creating environments where employees can be themselves and grow within and around the companyEligibility Requirements: This position is based in the United States, and applicants must be legally authorized to live and work in the United States. Employees are required to reside within the United States for the duration of their employment. At Noodle, we hire people who will help us change the future of online education. Even if you don't think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential. Noodle is committed to creating a welcoming and inclusive workplace for everyone. We value and celebrate our differences because those differences are what make our team shine. We hire great people from different backgrounds, not just because it's the right thing to do, but because it makes us stronger as a whole. Women, people of color, LGBTQIA2S+ individuals, and members of other underrepresented groups are strongly encouraged to apply. Noodle is an equal opportunity employer and does not discriminate against candidates on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, or veteran status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Title: Senior Consultant Semantic Data & AI Engineer Location: New York, NY Work Arrangement: 5 days Onsite Locals Only Duration: 6-Month Contract-to-Hire Experience Range: 8-12 years Our client is seeking a Senior Consultant Semantic Data & AI Engineer with 8 12 years of experience to design and deploy knowledge graphs, semantic layers, and AI-driven data solutions. This role combines deep expertise in graph technologies and semantic standards with practical application of modern machine learning and cloud platforms. Responsibilities & Qualifications • Design and build knowledge graphs, semantic layers, ontologies, taxonomies, and graph-based data products; translate business concepts into machine-readable semantic models, • Develop end-to-end data pipelines for acquiring, transforming, mapping, validating, and loading information; implement data-quality controls using SHACL validation, • Integrate knowledge graphs with generative AI, RAG/GraphRAG, semantic search, and LLM applications; support NLP and document-intelligence use cases, • Develop Python or Java based data transformations, APIs, and services; create automated tests and support CI/CD pipelines and production deployments, • Lead technical workstreams, mentor junior consultants, and facilitate requirements and modeling sessions with stakeholders, • Participate in graph-platform evaluations and production deployments; produce technical designs, semantic models, and comprehensive documentation, • Build vector search and semantic search capabilities; demonstrate proficiency in cloud platforms and containerized deployments Requirements • 8 12 years of professional experience in data engineering, semantic technologies, or related fields, • Expert-level knowledge of semantic standards and languages: RDF, RDFS, OWL, SPARQL, SHACL, SKOS, JSON-LD, and Turtle, • Hands-on experience with graph databases and platforms: Neo4j, Stardog, GraphDB, Amazon Neptune, Anzo, MarkLogic, TigerGraph, Apache Jena, or TypeDB, • Strong programming skills in Python and Java; proficiency with Git, CI/CD, automated testing, and containerization, • Demonstrated expertise in data pipelines, NLP, machine learning, and vector search technologies, • Experience with cloud platforms: AWS, Azure, Google Cloud, or tools such as Databricks, Snowflake, BigQuery, Redshift, or Microsoft Fabric, • Agile methodology experience and a proven track record of delivering technical solutions in collaborative environments

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Engineer, Infrastructure in our New York office. About the Role: As a Senior Engineer, you will focus on providing engineering teams with user-centric, reliable platforms that enable teams to safely operate their software with minimal overhead. Along with engineering and maintaining reliability, performance, and agility across multiple engineering platforms and technologies, you will also be a part of a support organization dedicated to delivering a frictionless development experience to Engineering teams. Your work will span cloud infrastructure, observability, infrastructure-as-code, application deployment strategy, and security. You will join a hybrid-remote team of skilled and collaborative software engineers dedicated to the continuous delivery of business value. What You'll Do • Design and build networking and application infrastructure that provide high levels of scalability, reliability, and performance, while balancing security, maintainability, and operational excellence, • Partner with product and application teams to provide guidance and best practices around scalability, reliability, and performance of our productions networking, infrastructure, and software, • Craft solid and clearly explained designs, playbooks, and documentation, for consumption by teammates and the larger engineering organization, • Improve operational efficiency through automation and deployment or development of new tools, • Be proactive in performance & availability monitoring; provide remediations for systemic issues, • Ingest requirements, scope work, produce estimates and help define deliverables with project timelines, • Work as a team on escalations, resolving critical issues that impact our high SLA production systems Experiences and Capabilities You Bring: • You have 5+ years of professional software development experience, • You have mastered development for the cloud, leveraging a variety of AWS and Data Engineering services (e.g. Databricks, Snowflake), • You excel at infrastructure-as-code, • You understand computer networking concepts, • You have practical knowledge of security, data privacy and permission management, • You have experience with monitoring tools, including logging and alerting, • You are adept at troubleshooting and know incident response best practices, • You value strong DevOps and are continually improving the developer experience and CICD, • You are a natural collaborator, always keen to help your team members, • You are an excellent technical communicator This is a hybrid role. Work from home on Monday and Friday and in Applecart's New York City office Tuesday through Thursday. Relocation assistance is not available for this position. Candidates must be based in or willing to relocate to the area independently. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000 - 200,000, based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description Our client is seeking a Security Engineer to design and implement secure identity, authentication, and authorization solutions for Amazon Bedrock AgentCore and enterprise AI applications. You will architect fine-grained access controls, develop IAM policy templates, and deploy Cedar authorization policies to enable secure AI agent interactions with enterprise systems and external APIs. Responsibilities & Qualifications • Design and implement secure identity and authentication solutions using Amazon Bedrock AgentCore Identity, including OAuth 2.0, OIDC, JWT-based, and AWS IAM-based authentication mechanisms, • Configure inbound and outbound authentication for AI agents accessing enterprise applications, tools, and external APIs; integrate AgentCore Identity with providers such as Amazon Cognito, Microsoft Entra ID, or Okta, • Design, develop, and maintain reusable AWS IAM policy templates for AI agents and AgentCore infrastructure; implement role-based access control (RBAC) and least-privilege security principles, • Automate IAM policy deployment using Terraform, CloudFormation, or AWS CDK; integrate policy validation and deployment into CI/CD workflows via GitHub Actions, • Design, author, test, and deploy Cedar authorization policies using Amazon Bedrock AgentCore Policy to enforce fine-grained access controls for AI agents accessing tools through AgentCore Gateway, • Implement security controls and monitoring for enterprise AI agents and Generative AI applications using AWS CloudTrail and CloudWatch for audit logging, access traceability, and security visibility, • Collaborate with infrastructure and application teams to integrate identity, authentication, and authorization solutions into enterprise AI agent deploymentsRequirements, • 6–10 years of experience in cloud security, identity and access management, or related infrastructure security roles, • Expert proficiency in AWS IAM, Bedrock AgentCore Identity, Cedar policy language, and IAM policy templates, • Strong knowledge of OAuth 2.0, OIDC, JWT, RBAC, and ABAC authorization models, • Hands-on experience with infrastructure-as-code tools: Terraform, AWS CloudFormation, and AWS CDK, • Proficiency in Python and CI/CD automation tools, particularly GitHub Actions, • Demonstrated expertise with AWS security services: Secrets Manager, CloudTrail, and CloudWatch, • Familiarity with AgentCore Gateway and fine-grained access control implementations

Job DescriptionAbout Client: The client is a global consulting, technology, and digital firm specializing in the financial services industry. Established in 2001, the company provides innovative solutions to help clients navigate digital transformation, enhance operational efficiency, and achieve strategic objectives. With a focus on banking, capital markets, and insurance, it leverages cutting-edge technologies such as blockchain, artificial intelligence, and data science to deliver customized IT solutions and business consulting services. The company's commitment to innovation, combined with its industry expertise, positions it as a leader in driving technological advancements and helping financial institutions stay competitive in a rapidly evolving market. Rate Range: $680-$720/Day Job Description: • We are seeking an experienced Data Mesh / Enterprise Architect to define the target-state architecture for a complex financial-services data estate., • You will translate detailed stored procedures and data-landscape analysis into an actionable enterprise architecture. This includes defining domain and medallion-layer boundaries, creating reusable architecture patterns, designing source-aligned and consumer-aligned data products, and establishing the governance and platform capabilities required to support a federated data mesh., • The role requires genuine delivery experience in data-product architecture not simply familiarity with data mesh concepts. You will need to make practical architectural decisions across legacy SQL estates, lakehouse platforms, reference and master data, data contracts, lineage and enterprise architecture governance.Key Responsibilities:, • Interpret the stored-procedure landscape analysis architecturally: where a single procedure conflates responsibilities belonging to different domains or different medallion layers, define how it is split., • Define one reusable target pattern per MCDB feature class: operational UI / applications (app), raw ingestion from systems of record (stage), third-party market and reference data (refdata), consumer extracts (extract), enterprise model, and the cross-cutting MDM, sub-ledger and risk assets., • Map every inventory item to a pattern and produce the pattern-assignment matrix., • Compose the target-state conceptual architecture on DEAL: source-aligned data products, aggregate and consumer-aligned data products, the federated governance plane, the self-serve platform and the catalogue of catalogues with the platform provisioning capability but never owning domain data., • Define the medallion mapping for each pattern, • Specify output-port design so that contract-governed subscriptions replace point-to-point extracts, and define the change-feedback loop from consumer to producer., • Produce the complexity, risk and dependency assessment and sequence the roadmap against it.Deliverables owned:, • Architecture pattern catalogue, one per feature class (Word; TOGAF pattern cards), • Pattern-assignment matrix covering every inventory item (Excel), • Target-state conceptual architecture (C4 and/or ArchiMate diagram narrative), • Complexity, risk and dependency assessment with sequenced roadmap (Word diagram)Essential experience:, • 10 years in data architecture, 5 at enterprise or principal level in financial services., • Genuine data mesh / data-product architecture delivery, not familiarity with the literature. Candidates must be able to describe a specific domain decomposition they authored, the contested boundaries within it, and how the platform-versus-domain responsibility split was enforced., • Deep lakehouse and medallion architecture: Databricks with Unity Catalog, Delta, Snowflake, Kafka, Airflow, Azure Data Lake Storage Gen2. Must be able to reason about equivalents on AWS (Lake Formation, Glue Data Catalog, Amazon DataZone) when comparing options for Mizuho., • Reference and master data architecture: vendor onboarding, identifier crosswalks across FIGI, LEI/GLEIF, CUSIP/ISIN, SEDOL and MIC, mastering and distribution to consuming domains., • SQL Server and T-SQL depth sufficient to reason about stored-procedure decomposition the ownership boundaries in MCDB are inside the procedures, not the schema names., • TOGAF 9 or 10 certified, with demonstrable use of TOGAF to define and govern patterns; ArchiMate or C4 modelling in production use.Preferred / differentiating:, • FIBO applied to a taxonomy or ontology exercise; ODCS or comparable data-contract specification., • Lineage and catalogue tooling in anger: Solidatus, Unity Catalog, Microsoft Purview, Collibra, Alation, Securiti.ai , Anomalo., • Experience with automated code-intelligence accelerators for SQL/SAS estate analysis. About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment. If you have any concerns or queries about your personal information, please feel free to contact our compliance team at compliance@aptask.com. Applicant Consent: By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.

Job Description Do you love getting customers talking, seeing patterns in a survey, listening to what people desire? Do you notice the satisfying click of a button, or the exact curve that makes something feel good in your hand? Can you take a pile of survey results, a prototype and three unanswered manufacturer emails and turn them into a product someone loves? Do you already have an AI agent doing half your busywork? If yes, Dame Products wants you to be our Product Development Manager! We're Dame Products, a founder-led sexual wellness brand closing the pleasure gap. Our philosophy is that sexuality and pleasure are valuable and deserve respect. We make doctor-approved, community-tested products, from Eva (the most crowdfunded sex toy in history) to the ones you'll help make next. You'll find us at Target, CVS, Walmart and Amazon. Dame Labs is how our community helps design what we make. Plus, this job will make you the most interesting person at a dinner party. This is a hands-on execution role. You'll head up Dame Labs, talk to more customers than anyone else in the company, and drive our products from idea to shelf. You'll bring a strong, evidence-backed argument to leadership about what Dame should make next. Then, once we decide together, you'll make it happen. This is not a role for someone who wants to sit in strategy decks or hand off the details. We're looking for someone who loves the work of getting a product made, and doing it right. If you crush it, the role grows with you. What You'll Own • Run Dame Labs. Grow our tester community, set up how trials run, and make it something people are excited to join., • Talk to customers. A lot. Run interviews, in-home studies and tester panels to learn how people actually experience pleasure and where products let them down., • Run surveys. Design them, field them to our community, and turn the results into clear recommendations., • Host events. Plan focus groups, co-design workshops and community nights, IRL and online., • Make the case for what's next. Bring leadership a sharp, evidence-backed point of view on what Dame should make, grounded in what you hear from customers., • Project manage product development. Move every project through design, prototyping, testing and doctor approval to production. Chase samples, keep manufacturers on schedule, and keep timelines, owners and decisions clear., • Hold the team accountable. Our engineer, industrial designer and testing lead report to you. You'll set priorities and deadlines and make sure the work gets done., • Own the roadmap and the rhythm. Keep a clear, current roadmap and run the biweekly product meeting., • Use human-centered design. Start with people, not specs. Keep real bodies, stories and needs at the center of every decision, and test early and often., • Be AI-forward. Use AI and agents to synthesize interviews, monitor reviews and community feedback, and automate the project management that slows product development down. Requirements This position could be a good fit for you if you have: • 3+ years close to how physical products get made and who they're for. You might come from industrial design, engineering, product marketing, product development or research., • Real curiosity about customers. You've talked to them, run a survey or test, and changed a decision because of what you learned. A formal UX title isn't required., • A track record of getting things done. You've kept a project with lots of moving parts on track, and you're comfortable holding designers and engineers to deadlines., • A daily AI habit. You use AI tools at work all the time, and you have opinions about agents., • Zero awkwardness about sex. You can talk about bodies and pleasure openly, with anyone., • Something to prove. You want the big job early, and you'll earn it. Bonus points for: • Experience with physical products, especially in wellness, beauty, personal care or consumer hardware, • Formal user research training, • Experience building or running a community, beta panel or events program, • Startup experience where you built things from scratch Benefits Why Join Dame? You'll work directly with the founder, have real ownership, and see the things you helped make on shelves at Target. Your customer research will shape what Dame makes. And you'll get to do it at a company that believes pleasure is a core part of a healthy life, and builds that into how we work. Compensation • $85K–$95K base, depending on experience, • Full-time, hybrid in New York, • Reports to the CEO & Founder How to Apply Along with your resume, the application asks for: • A short note on why you're the right person for Dame Labs, • One product or project you shipped that you're proud of, and what you'd do differently now Dame is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. If you're this Dame Good, we look forward to your application. :P

Job DescriptionAbout Loop: Loop is an agentic restaurant intelligence software that augments back office of restaurant chains by automating workflows and delivering intelligence across the finance, operations and marketing functions. Loop deploys AI agents built by our in-house team of AI engineers, strategists and subject matter experts into restaurant brands bringing industry best practices in handling complex internal functions. We have offices in San Francisco, New York, Tampa and India. Loop is one of the fastest growing restaurant technology companies powering a few billion dollars in revenue and growing to serve 10K+ restaurants within 3 years across some of the most recognizable brands of the USA, helping them grow their topline & bottomline. Loop is built by a world class team of entrepreneurs, operators, leaders and AI engineers from different industries, ranging from cutting edge big-tech, management consulting, investment banking among others across companies like Uber, Google, Amazon, McKinsey and others. About the Role: As a Delivery Strategist within Loop’s Strategy & Operations charter, you will be a custodian of the value delivered to Loop’s customers through our finance product. Loop’s products today power a few billion dollars in revenue and are poised to scale multifold over the next few years. As our products and scope of services continue to expand, you will own the value delivered to Loop’s enterprise customers, with a strong focus on customer outcomes and key metrics such as time to value, engagement, and outcomes for Loop’s finance product, Balance. In this role, you will help shape our customer strategy cross-functionally, partnering closely with Sales/GTM, Product Operations, Product, and Customer Success, while owning key customer value metrics. Responsibilities: • Ownership of key customer value metrics, • Building playbooks for the sales and customer support functions, • Ownership of all internal processes across analytics, product surfaces, content and communications across functions to ensure 10-star value delivery to customers, • Ownership of internal processes needed to monitor and improve agentic workflows, not limited to evals, system prompts, creating templates and agentic workflows for customers, etc, • Collaborating with the GTM/ Customer Success teams to own the implementation and business roadmap, taking business needs and customer needs into account Eligibility/ Fit: You are most likely a strong candidate for this role if you:, • Have at least 5-8 years of experience in a finance, F,P&A or accounting role in a direct to consumer brand or in the E-commerce, CPG, hospitality or the restaurant industry, • Have been a Senior financial controller, manager or senior manager of finance, managing the lifecycle across accounting, F,P&A & treasury, • Are inherently a great sales person - be it selling a product, vision, idea, project or anything else!, • Have the ability to break fairly complex problems into smaller parts and build the necessary processes and systems around them., • Have the ability to think metrics, funnels and dashboards, • Have exhibited leadership while also having worked in IC roles across your previous roles, • Have the ability to understand complex customer/ business problem statements from the lens of business and can make tradeoffs and build for the right customer outcomes, • Demonstrate key cultural values of Loop across radical ownership, customer obsession and have the ability to lose no time & move fast on solving problems., • Are a CFA/ CPA charter holder, • Have a strong hunger for personal growth and wish to build and deploy products of the next generation at scale, as an operator or a founder. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSenior AI Engineer Remote Rate: $85/hour Client : confidential Mandatory Skill :Agentic AI; Generative AI; LLMs; LangChain We are seeking a Senior AI Engineer to design, build, deploy, and operate enterprise-grade Large Language Model (LLM) applications supporting business processes within a regulated financial services environment. The ideal candidate will have hands-on experience taking Generative AI solutions from design through production deployment and providing ongoing production support. This role requires deep expertise in LLM orchestration, RAG, AI evaluation, Python, cloud services, observability, and production-grade AI engineering. Key Responsibilities " Design and implement multi-step LLM pipelines, including: o LLM orchestration o Structured output generation o Tool/function calling o Error handling, retry, and fallback logic " Develop and maintain Retrieval-Augmented Generation (RAG) solutions, including: o Indexing strategies o Embedding model selection o Retrieval quality optimization " Build and maintain LLM evaluation frameworks and golden datasets to measure accuracy, consistency, and regression risk before production releases. " Establish and enforce quality gates for model, prompt, and configuration changes. " Implement observability for non-deterministic AI applications, including: o Tracing o Structured logging o Quality monitoring o Cost monitoring " Manage cost and latency performance of production AI workloads against defined budgets. " Partner with Product, Business, Risk, Compliance, and Security teams to translate business requirements into technical solutions and support review/approval processes. " Participate in code reviews, architectural decisions, and technical documentation. " Provide ongoing production support for deployed AI applications, including incident response, root-cause analysis, regression management, and remediation. " Mentor junior engineers and contribute to engineering standards and best practices. Required Qualifications " Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. " Minimum 5 years of professional software engineering experience. " Minimum 2 years of experience developing LLM/Generative AI applications. " Demonstrated experience deploying at least one enterprise-grade AI application into production and supporting it after launch. Enterprise Production AI Experience Must Include " AI solution serving real users or business processes, rather than only a proof of concept or internal pilot. " Accountability for non-functional requirements such as: o Availability o Latency o Cost management o Access control o Data handling o Auditability " Experience completing security and compliance reviews within a regulated or enterprise environment. " Post-production ownership involving: o Incident response o Regression management o Changes deployed against live traffic Technical Requirements " Hands-on experience with at least one LLM agent/orchestration framework, such as: o LangGraph o LangChain o LlamaIndex o Semantic Kernel o AutoGen o Amazon Bedrock Agents " Strong experience with LLM evaluation methodologies, including: o Dataset/golden dataset curation o Metric selection o Evaluation of non-deterministic outputs o Appropriate use of LLM-as-judge techniques o Established evaluation frameworks or custom evaluation harnesses " Strong proficiency in Python 3.11 , including: o Type annotations o Automated testing o Asynchronous programming " Experience building and operating cloud-based services such as: o REST APIs o Data pipelines o Event-driven workers " Experience working within codebases governed by automated quality gates and formal code reviews. Preferred Qualifications " Experience with Document AI / Intelligent Document Processing, including: o OCR o Structured field extraction o Scanned documents o Photographed documents o Handwritten source material " Experience designing human-in-the-loop workflows, including: o Confidence scoring o Selective automation o Escalation and review processes " Experience implementing business rules or policies as versioned and reviewable artifacts. " Experience with event-driven architecture, particularly Apache Kafka. " Experience with Kubernetes, Helm, and CI/CD pipeline ownership. " Experience with Infrastructure as Code, particularly Terraform. " Experience with: o Model selection o Model benchmarking o Fine-tuning o Distillation o Cost and quality optimization " Prior experience within financial services, insurance, healthcare, or another regulated industry. Technical Environment AI / GenAI " LLMs " LLM orchestration frameworks " RAG " Agentic AI " LLM evaluation and observability tooling Programming / Application Development " Python 3.11 " FastAPI " Pydantic Data / Database " PostgreSQL with vector extensions " Aurora PostgreSQL Cloud / AI Platform " AgentCore Infrastructure / DevOps " Kubernetes " Helm " Terraform " CI/CD Event-Driven Architecture " Apache Kafka Observability " Datadog " OpenTelemetry Key Must-Have Skills for Screening Python 3.11 | LLM/GenAI | RAG | LangGraph/LangChain/LlamaIndex/Semantic Kernel/AutoGen/Bedrock Agents | LLM Evaluation | Production AI Deployment & Support | Cloud Services/APIs | AI Observability | Enterprise Security/Compliance Most important screening point: The candidate should have actually deployed an enterprise-grade GenAI/LLM application to production and supported it post-launch. POC-only GenAI experience would not meet the stated requirement.

Job DescriptionJOB DESCRIPTION: Senior Application Support Engineer – InspectionWorks Archive Location: Remote Possible 3 Month CTH ServiceNow Application: aviation-rhythm-enterprise-archive Support Level: Tier 2 / Tier 3 Environment: Manufacturing / Shop-Floor Applications, On-Premises & Cloud Working Hours: Approximately 8:00 AM – 4:00 PM Eastern Time Role Overview: We are seeking an experienced Application Support Engineer to provide end-to-end operational and technical support for the InspectionWorks Archive (IWA) application and its associated manufacturing inspection ecosystem. The role will support a business-critical application operating across a hybrid technology environment, including Windows-based on-premises application servers, database servers, manufacturing shop-floor workstations, data pipelines, integrated desktop applications, and cloud-hosted services. The ideal candidate will have strong experience in L2/L3 application support, Windows environments, application and infrastructure troubleshooting, data integration, database support, production deployments, monitoring, incident/problem management, and operational documentation. The individual should be comfortable independently owning production support activities and coordinating with application owners, infrastructure teams, database teams, cybersecurity teams, and external vendors. Key Responsibilities: 1. Application Support & Maintenance • Provide Tier 2/Tier 3 production support for InspectionWorks Archive and associated inspection/review applications deployed on manufacturing shop-floor PCs., • Support Windows VM-based, on-premises application environments, including troubleshooting, configuration management, patching, maintenance, and application deployments., • Diagnose and resolve application availability, performance, connectivity, integration, and data-flow issues., • Support integrations between the inspection archival platform and other shop-floor desktop applications., • Ensure inspection data is successfully captured, processed, transferred, and archived across interconnected systems., • Support application releases, configuration changes, infrastructure changes, pipeline modifications, and database schema changes in accordance with established change-management processes., • Maintain accurate technical documentation covering system configurations, dependencies, interfaces, and integration points., • Work closely with the Product/Application Owner and application vendor for deployments, upgrades, troubleshooting, and production support. 1. Infrastructure & Hybrid Environment Support • Support application connectivity across:, • Manufacturing shop-floor PCs, • Windows virtual machines, • On-premises application servers, • On-premises database servers, • Cloud-hosted services, • Troubleshoot network, server, database, application, and integration-related dependencies affecting application functionality., • Coordinate with infrastructure, network, database, cloud, and cybersecurity teams to resolve cross-platform production issues., • Help maintain reliable connectivity and data movement between on-premises and cloud environments. 1. Data Pipeline Monitoring & Observability • Monitor end-to-end inspection data pipelines, including data capture, transformation, transfer, and archival., • Monitor pipeline health, throughput, processing failures, and potential bottlenecks., • Investigate missing, delayed, incomplete, or failed inspection-data transactions., • Troubleshoot data-flow issues across application, database, infrastructure, and cloud components., • Monitor relevant cloud storage utilization, including Amazon S3, where applicable., • Identify recurring operational issues and recommend improvements to monitoring, alerting, and support processes. 1. Incident, Problem & Service Management • Respond to production incidents impacting application availability, system performance, or inspection-data flow within agreed service-level targets., • Perform structured troubleshooting and drive incidents through resolution., • Perform root-cause analysis (RCA) for recurring or high-impact incidents., • Identify and implement corrective and preventive actions to reduce repeat incidents., • Engage appropriate internal support teams and/or vendors when issues require specialized expertise., • Escalate risks, blockers, and unresolved technical issues promptly to the Application Owner., • Maintain appropriate incident, problem, change, and operational records in ServiceNow. 1. Operational Support & Reporting • Execute daily, weekly, and scheduled operational activities according to established application runbooks and support schedules., • Ensure activities due on a given business day are completed by close of business., • Take end-to-end ownership of assigned activities, including coordination with interfacing technology teams., • Provide regular operational reporting covering:, • Incident volumes, • Open and aging issues, • Data-pipeline health and throughput, • S3/storage utilization, • Production risks and dependencies, • Upcoming releases and maintenance activities, • Proactively communicate issues that may affect production operations or manufacturing users. 1. Cybersecurity & Compliance • Follow organizational cybersecurity and access-control requirements applicable to manufacturing and shop-floor systems., • Support security controls relating to:, • Data in transit, • Data at rest, • User/system access, • Application and infrastructure configuration, • Ensure operational practices align with applicable manufacturing inspection-record, quality-system, security, and compliance requirements., • Coordinate with cybersecurity teams to address application vulnerabilities, remediation activities, and security-related configuration changes when required. 1. Documentation & Knowledge Management • Maintain accurate and current:, • Application support runbooks, • Architecture diagrams, • Data-flow diagrams, • Interface/integration documentation, • Configuration documentation, • Troubleshooting guides, • Known-error and resolution documentation, • Operational procedures, • Document recurring issues and reusable resolutions to improve support efficiency., • Conduct knowledge-transfer sessions with internal application and support teams as required. Required Technical Skills: Candidates should have strong hands-on experience with several of the following: • L2/L3 Application Production Support, • Windows Server / Windows VM environments, • Enterprise application troubleshooting, • On-premises application and infrastructure support, • Application deployment and release support, • Database connectivity and basic database troubleshooting, • SQL / database querying for troubleshooting, • Application-to-database integrations, • Data pipeline / interface troubleshooting, • Hybrid on-premises and cloud environments, • AWS / Amazon S3 exposure, • Monitoring and observability, • Incident, problem, change, and release management, • Root-cause analysis, • ServiceNow or similar ITSM platforms, • Application configuration and patch management, • Technical documentation and runbook creation Preferred Skills: Experience in the following areas would be particularly valuable: • Manufacturing or shop-floor application support, • Inspection, quality, manufacturing execution, or archival systems, • InspectionWorks or similar industrial inspection platforms, • AWS cloud services and S3 storage, • Data movement between shop-floor systems and cloud platforms, • Production data pipelines and file-transfer/integration mechanisms, • Enterprise monitoring and alertin

Job DescriptioneDiscovery Program Manager Employment Type: Full-Time, Executive-Level Department: Legal CGS is seeking a dedicated eDiscovery Program Manager to join a fast-paced and hard-working team to assist with any legal accounts. As an eDiscovery Program Manager, you will play a key role in supporting various aspects of the company's portfolio. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: The Contractor shall provide the following services to include but not limited to: - The Contractor shall provide Discovery Program contractor staff management support to include, but not limited to the following activities: - Contractor shall oversee all administrative logistical support for the contract to include, notifying the Government of schedule changes, work assignments and coverage, documenting daily tasks, and work location changes; - Contractor shall insure that daily time entry is recorded by all contract staff; - Contractor shall coordinate all administrative activities associated with the arrival of new contract staff with the appropriate FBI security, IT, and other administrative units; - Contractor shall mentor and assist new team members to perform daily tasks; - Contractor shall promptly and thoroughly address any performance or personnel issues that arise within the contracted staff; - Contractor shall manage client expectations and deliverables and clearly and timely communicate with clients; - Contractor shall initiate process improvement initiatives; - Quotes shall facilitate communication, planning, recommendations, and resource management across internal and external stakeholders; - Contractor shall provide technical and eDiscovery subject matter expertise to support the full life cycle management of the resources assigned to the program and contract; - Contractor shall participate in teleconferences or meetings to review, educate, and support program objectives; - Contractor shall assist in managing the Legal Clerical mailbox and tasks; - Contractor shall develop and track clerical and IT project schedules, milestones, and deliverables; - Contractor shall assist with providing information sought by client that are relevant to support Change Requests and Contract Modifications; - Contractor shall oversee and monitor all scheduled system maintenances in accordance with established policies and procedures; - Contractor shall review system and application logs and related reports to verify completion of scheduled jobs such as backups; - Contractor shall review and report technical assessments to include required tasks, estimated time frames, and effort for any scope project; - Contractor shall oversee and monitor Veritas eDiscovery version 10 or industry recognized review platform processes; - Contractor shall oversee and monitor the system administration of Microsoft Exchange - 2019 and 2022; - Contractor shall oversee and monitor the administration and support of Microsoft Windows server 2016/2019/2022 in a large physical and virtual infrastructure; - Contractor shall oversee and monitor the performance of DNS, WINS, DHCP, and LDAP compliant directories; - Contractor shall oversee and monitor Discovery’s IT infrastructure, cloud technologies (Microsoft Azure/Amazon AWS) and network architecture; - Contractor shall comply with contract terms and conditions; work collaboratively with the COR to define and execute all reports and other deliverables; - Contractor shall ensure operational coverage for all critical areas to meet 24 hours, 7 days a week, 365-day requirements and priorities as identified by OGC Leadership; - Contractor shall formulate and enforce work standards; assign contractor schedules; - Contractor shall present and communicate instructions, and in writing reports or documents that convey the findings/results of analysis to non-technical audiences; - Contractor shall work collaboratively with the COR and OGC Government Leads to define and execute all reports and other deliverables; - Contractor shall provide the Task Lead(s) and COR with cost and staffing estimates relative to the completion of existing tasks, as well as the possible addition of future - Contractor shall plan, organize, direct and support all activities identified in the contract; - Contractor shall ensure conformance with RFQ schedules and costs; - Contractor shall monitor employee performance and productivity; - Contractor shall develop and implement training programs and remedial actions as necessary; - Contractor shall review work discrepancies; - Contractor shall prepare, review and submit required reports and communicating policies, purpose and goals of the organization to subordinates; - Contractor shall be responsible for the overall RFQ performance and quality assurance; - Contractor shall provide timekeeping and invoicing for labor hours, travel and ODCs, if any; - Contractor shall ensure that program/project schedule, performance and deliverables are met; - Contractor shall maintain a qualified and certified, as appropriate, Contractor work force to meet the Government’s needs under this RFQ; - Contractor shall provide direct supervision, program control, scheduling and management of the Contractor personnel consistent with priorities and assignments by the OGC program; - Contractor shall develop and implement training programs and remedial actions as necessary; - Contractor shall assist in all project management task performance; - Contractor shall prepare, review and submit required reports and communicating policies, purpose and goals of the organization to subordinates; - Contractor shall resolve problems, issues or conflicts, as required; - Contractor shall prioritize tasks and assignments to Contractor work force based on Government’s direction and best practices; Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Phone: +1 (888) 680-5916Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description: Java Kafka Developer Job Title Java Kafka Developer Location [City, State] / Remote / Hybrid Employment Type Full-time Job Summary We are seeking a skilled Java Kafka Developer to design, develop, and maintain high-performance, event-driven applications using Java, Apache Kafka, and Spring Boot. The ideal candidate will have experience building scalable microservices, real-time data streaming solutions, and distributed systems. You will work closely with architects, backend developers, DevOps engineers, and business stakeholders to deliver reliable, secure, and scalable event-driven applications. Key Responsibilities Design, develop, and maintain Java-based event-driven applications using Apache Kafka. Develop producers, consumers, and stream processing applications. Build scalable microservices using Spring Boot and Spring Cloud. Design and implement Kafka topics, partitions, replication, and consumer groups. Integrate Kafka with databases, REST APIs, and third-party systems. Develop asynchronous messaging solutions for enterprise applications. Monitor Kafka clusters and optimize message throughput and latency. Troubleshoot Kafka performance issues and application bottlenecks. Implement fault-tolerant and highly available messaging architectures. Participate in code reviews, architecture discussions, and Agile ceremonies. Build automated unit and integration tests. Maintain technical documentation and operational runbooks. Required Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 3 years of experience in Java development. Hands-on experience with Apache Kafka. Strong proficiency in Java (Java 8/11/17). Experience with Spring Boot and Spring Kafka. Experience developing RESTful APIs and microservices. Strong SQL and database knowledge. Familiarity with distributed systems and messaging patterns. Experience with Git and version control. Knowledge of Agile/Scrum methodologies. Preferred Qualifications Experience with Kafka Streams or ksqlDB. Knowledge of Apache Avro and Schema Registry. Experience with Docker and Kubernetes. Familiarity with cloud platforms (AWS, Azure, or GCP). Experience with Redis or caching technologies. Knowledge of event sourcing and CQRS architecture. Experience with monitoring and logging tools. Familiarity with CI/CD pipelines. Technical Skills Programming Languages Java 8/11/17 SQL Scala (Preferred) Python (Nice to Have) Java Technologies Spring Boot Spring Kafka Spring MVC Spring Security Spring Data JPA Hibernate REST APIs Microservices Apache Kafka Kafka Producers Kafka Consumers Kafka Streams Kafka Connect Kafka MirrorMaker Kafka Transactions Consumer Groups Topic Management Partitioning Replication Offset Management Exactly Once Processing (EOS) Messaging Technologies Apache Kafka RabbitMQ ActiveMQ IBM MQ Amazon SQS Apache Pulsar (Preferred) Serialization Apache Avro JSON Protobuf Apache Schema Registry Databases PostgreSQL MySQL Oracle SQL Server MongoDB Cassandra Redis Cloud Platforms AWS (MSK, EC2, S3, Lambda) Microsoft Azure Google Cloud Platform (Pub/Sub) DevOps & CI/CD Docker Kubernetes Jenkins GitHub Actions Azure DevOps GitLab CI Monitoring & Logging Prometheus Grafana ELK Stack Splunk Kafka Manager Confluent Control Center Version Control Git GitHub GitLab Bitbucket Testing JUnit Mockito Testcontainers Postman Rest Assured Build Tools Maven Gradle IDEs IntelliJ IDEA Eclipse Visual Studio Code Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and in a team environment. Strong attention to detail. Good organizational and time management skills. Ability to work in fast-paced Agile environments. Preferred Experience Experience building event-driven microservices. Experience implementing real-time streaming applications. Knowledge of distributed systems and messaging architectures. Experience with high-volume, low-latency applications. Familiarity with secure messaging and authentication mechanisms. Experience deploying Kafka applications in cloud environments. Experience working in Agile/Scrum teams. Nice to Have Confluent Platform Kafka Streams API ksqlDB Apache ZooKeeper Apache Camel Spring Cloud Stream Event Sourcing CQRS Debezium (CDC) Apache Flink Apache Spark Streaming OpenTelemetry SonarQube OAuth 2.0 / JWT Authentication Terraform Helm Testcontainers for Kafka Integration Testing Experience: 3 8 Years Notice Period: Immediate to 30 Days Preferred

Job DescriptionDescription: Hybrid 4 days onsite in New York, NY Our client seeks a Marketing Analytics professional to support the maturation of analytics and automation capabilities for a high-visibility MPA team. The role focuses on scalable reporting, automated data processes, and insights that inform marketing, content, retention, and growth strategies. The position offers exposure to the CMO organization and executive stakeholders and requires facility with AI-enabled analytics workflows. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $55.00 to $60.00/hr. w2 Responsibilities: • Develop automated analytics and reporting solutions to reduce manual effort and improve scalability., • Build dashboards, visualizations, charts, and reporting that communicate business insights to leadership., • Perform ad hoc analysis to support strategic business decisions., • Partner with marketing, finance, analytics, and business stakeholders to identify optimization opportunities., • Analyze customer behavior, segmentation, retention, and upsell opportunities., • Support marketing and content strategy through data-driven recommendations., • Stay current on analytics tools, best practices, and industry trends. Experience Requirements:, • 5+ years in Marketing Analytics, Business Analytics, or a similar data-focused role., • Strong SQL skills., • Experience querying and analyzing large datasets., • Advanced reporting and dashboard creation experience., • Tableau or similar BI platform experience., • Experience presenting data and translating findings into business recommendations., • Strong written and verbal communication skills., • Preferred: Marketing or Finance analytics background, forecasting and KPI reporting, performance measurement, Marketing Mix Modeling, digital marketing support, streaming or media industry experience, and skills with Python, AWS/Quicksight, Looker, and advanced Excel., • AI fluency and interest in leveraging AI tools such as Amazon Q in analytics workflows.Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact fraud@eliassen.com. About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job DescriptionOur client is a cloud management consulting firm. Seeking a Senior Database Architect to lead SQL Server modernization and AWS database architecture. The primary focus is untangling complex SQL Server replication, implementing Multi-AZ / multi-region HA, and preparing the database layer for a future SQL Server → Aurora PostgreSQL migration.Must-Have Experience • Deep SQL Server architecture experience — SQL Server on EC2 and/or RDS SQL Server, • SQL Server performance tuning, troubleshooting and database optimization, • SQL Server → AWS Aurora PostgreSQL migration experience, • Hands-on AWS DMS and Schema Conversion Tool (SCT), • Strong T-SQL, stored procedure analysis and database object migration, • Experience designing Multi-AZ Availability Groups and multi-region SQL Server architectures, • Terraform / Infrastructure as Code, • Strong understanding of OLTP/OLAP replication and database-to-application integration Key Responsibilities, • Own SQL Server modernization activities for Phase One, • Analyze and resolve complex OLTP ↔ OLAP replication architecture, • Design and implement Multi-AZ and multi-region SQL Server HA/DR, • Perform T-SQL and database object assessment for migration, • Develop migration strategy using AWS DMS/SCT, • Prepare SQL Server databases for eventual Aurora PostgreSQL migration, • Work closely with infrastructure, application and data teams on database architecture Nice to Have, • PostgreSQL / Aurora PostgreSQL, • Amazon Redshift, • Kinesis Firehose, • Amazon EKS, • Additional DB-to-application integration experience Environment SQL Server | EC2 | RDS SQL Server | Aurora PostgreSQL | AWS DMS | SCT | Terraform | Multi-AZ | Multi-Region

Job Description Job Description: Data Warehouse Developer Position: Data Warehouse Developer Job Summary We are seeking a skilled Data Warehouse Developer responsible for designing, developing, and maintaining enterprise data warehouse solutions. The role involves data modeling, ETL development, data integration, reporting support, and performance optimization to enable accurate and reliable business intelligence and analytics. Key Responsibilities Design, develop, and maintain data warehouse solutions based on business requirements. Develop and maintain ETL/ELT processes for data extraction, transformation, and loading. Create data models including star schema, snowflake schema, fact tables, and dimension tables. Design and optimize complex SQL queries, stored procedures, views, and database objects. Integrate data from multiple sources including databases, APIs, applications, and external systems. Perform data cleansing, validation, transformation, and quality checks. Optimize data warehouse performance through indexing, partitioning, and query tuning. Develop and maintain data pipelines and workflow processes. Collaborate with data analysts, BI developers, business users, and application teams. Troubleshoot data loading issues, data discrepancies, and performance problems. Maintain technical documentation including data models, mappings, and ETL workflows. Support data warehouse upgrades, migrations, and enhancements. Ensure data security, governance, and compliance standards are followed. Required Skills & Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. Experience in data warehouse development and database technologies. Strong knowledge of: Data warehousing concepts ETL/ELT processes Data modeling techniques Data integration patterns SQL programming Hands-on experience with databases such as: Oracle Microsoft SQL Server PostgreSQL MySQL Teradata Snowflake Experience with ETL tools such as: Informatica PowerCenter Talend SSIS DataStage Apache Airflow dbt Strong SQL skills including complex queries, stored procedures, optimization, and performance tuning. Understanding of data quality, metadata management, and data governance. Preferred Skills Experience with cloud data warehouse platforms: Amazon Redshift Snowflake Google BigQuery Azure Synapse Analytics Knowledge of BI and reporting tools: Power BI Tableau Looker QlikView Experience with big data technologies: Apache Spark Hadoop Kafka Hive Familiarity with Python, Shell scripting, or other programming languages. Experience with DevOps practices and version control tools such as Git. Preferred Certifications Cloud Data Engineering Certifications Snowflake Certification Microsoft Azure Data Engineer Certification AWS Data Analytics Certification Google Cloud Data Engineer Certification Soft Skills Strong analytical and problem-solving skills. Good understanding of business data requirements. Strong communication and documentation abilities. Ability to work independently and collaborate with cross-functional teams. Experience Level 2 4 years: Data Warehouse Developer 4 7 years: Senior Data Warehouse Developer 7 years: Lead Data Warehouse Developer

Job DescriptionJava Developer – Financial Services / Cloud-Native Applications Locations: New York City, New York / Salt Lake City, Utah Work Arrangement: Onsite Employment Type: Full-Time The Java Developer will design, develop, and support cloud-native applications across strategic financial services business workstreams. The role requires strong hands-on development expertise in Java, Spring Boot, microservices architecture, and cloud platforms such as Google Cloud Platform (GCP), AWS, or Microsoft Azure. The successful candidate will build scalable, high-performance enterprise applications, develop microservices, implement APIs, work with event-driven architectures, and support distributed systems. Candidates must have mandatory financial services experience and demonstrate practical coding and application development capabilities. Key Responsibilities 1. Java Application Development • Design, develop, test, and maintain enterprise-scale applications using Java., • Work with Java 8, Java 11, and Java 17., • Develop and enhance applications using Spring Boot., • Build scalable and maintainable microservices., • Use Python where required for application development and supporting solutions., • Write clean, efficient, reusable, and high-quality code., • Troubleshoot and resolve application-level issues. 1. Microservices & API Development • Design and develop microservices-based applications., • Build and maintain REST APIs and other application interfaces., • Apply API design principles and best practices., • Implement event-driven architecture and distributed system solutions., • Develop messaging and event-based integrations using Kafka and Google Pub/Sub., • Ensure applications meet scalability, reliability, and performance requirements. 1. Cloud-Native Application Development • Design, develop, and deploy applications on GCP, AWS, or Azure., • Build cloud-native solutions supporting strategic financial services programs., • Support application modernization and cloud transformation initiatives., • Leverage cloud services to develop scalable and resilient applications., • Work with BigQuery and cloud-based data solutions where applicable. 1. Database & Data Engineering • Develop and maintain database-driven applications., • Work with PostgreSQL and/or Azure SQL., • Build data-intensive application components., • Support data integration and processing using BigQuery where applicable., • Optimize database queries and application performance. 1. DevOps, CI/CD & Containerization • Implement and maintain CI/CD pipelines using GitHub Actions., • Containerize applications using Docker., • Deploy and manage applications using Kubernetes., • Support automated build, testing, deployment, and release processes., • Collaborate with DevOps and cloud engineering teams. 1. Financial Services Collaboration • Collaborate with business, product, and engineering stakeholders., • Develop technology solutions aligned with financial services business requirements., • Participate in Agile/Scrum development activities., • Support enterprise application development across commercial banking programs., • Ensure technical solutions meet business, performance, and reliability expectations. Required Qualifications • Bachelor's degree or equivalent relevant education, as applicable., • 4–7 years of relevant software development experience., • Minimum 3+ years of hands-on experience in the required technical stack for the applicable role level., • Strong hands-on Java development experience, preferably Java 8/11/17., • Experience with Python., • Strong Spring Boot and microservices development experience., • Experience with at least one major cloud platform:, • Google Cloud Platform (GCP), • Amazon Web Services (AWS), • Microsoft Azure, • Experience with Docker., • Experience with GitHub Actions and CI/CD pipelines., • Experience with Kubernetes., • Experience with PostgreSQL and/or Azure SQL., • Strong understanding of API design., • Experience with event-driven architecture and distributed systems., • Mandatory financial services experience., • Demonstrated hands-on coding and application development experience. Preferred Qualifications • Experience supporting cloud migration and modernization programs., • Experience developing event-driven applications using Kafka and/or Pub/Sub., • Experience with BigQuery., • Agile/Scrum delivery experience., • Experience developing enterprise applications in commercial banking or other financial services environments., • Experience working with cross-functional engineering and product teams.

Job DescriptionJob Title: AI Led Engineering – Enterprise AI, Cloud & Platform TransformationSalary: $200,000 – $220,000Role Summary We are seeking an experienced Principal AI Platform Engineer / AI & Cloud Platform Architect to lead the design, engineering, and operation of enterprise-scale AI platforms. This role combines AI engineering, enterprise platform architecture, cloud transformation, Site Reliability Engineering (SRE), and production operations. The ideal candidate brings extensive experience across AI, DevOps, cloud engineering, platform engineering, and AIOps/observability. The role requires hands-on Python development, experience deploying AI/ML solutions in production, and the ability to design secure, scalable, and reliable platforms for mission-critical or regulated environments. Key Responsibilities Design, build, and maintain enterprise-scale AI platforms and cloud infrastructure. Develop and integrate AI solutions using Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents. Implement and operate AIOps and observability platforms to monitor system performance, reliability, and operational health. Lead cloud transformation initiatives across AWS, Azure, and/or Google Cloud Platform (GCP). Support production AI/ML environments, including model deployment, monitoring, lifecycle management, and optimization. Develop infrastructure automation, CI/CD pipelines, and platform engineering capabilities. Implement scalable infrastructure using technologies such as Kubernetes, Docker, Terraform, and service meshes. Integrate AI development tools and engineering copilots into software engineering workflows. Collaborate with architecture, operations, security, and delivery teams to ensure platform reliability, security, and scalability. Establish engineering standards and operational practices for mission-critical and regulated platforms. Required Qualifications Minimum of 12 years of experience across AI, DevOps, cloud engineering, SRE, or platform engineering. Minimum of 3 years of hands-on experience with AI technologies and AI engineering stacks. Minimum of 5 years of experience designing enterprise platforms. Minimum of 3 years of experience implementing AIOps or observability platforms. Mandatory hands-on Python programming experience. Experience with enterprise cloud transformation initiatives. Experience supporting production AI/ML environments. Experience designing or operating mission-critical or regulated platforms. Strong collaboration and coordination skills across architecture, operations, security, and delivery teams. Relevant Technologies and Technical Skills AI and Machine Learning Generative AI and Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) AI agents, AgentCore, and Model Context Protocol (MCP) AWS Bedrock and Amazon SageMaker Vector databases Model deployment and lifecycle management Engineering copilots such as Kiro and GitHub Copilot Cloud and Platform Engineering AWS, Microsoft Azure, and/or Google Cloud Platform (GCP) Infrastructure as Code and automation using Terraform CI/CD pipelines Kubernetes and Docker Service meshes Enterprise platform architecture and cloud modernization AIOps, SRE, and Observability AIOps platform implementation Infrastructure and application monitoring Distributed tracing, logging, and metrics Datadog, Dynatrace, Splunk, Prometheus, and OpenTelemetry Production reliability, incident analysis, and performance optimization Note: Candidates are not required to have experience with every named technology. Assessment should focus on transferable technical capabilities, relevant platform experience, and demonstrated implementation of AIOps or observability solutions. Ideal Candidate Profile Senior-level engineer or architect with a strong combination of AI engineering, enterprise platforms, and cloud operations experience. Hands-on Python developer with practical experience building or integrating AI solutions. Proven track record designing enterprise platforms and supporting production AI/ML workloads. Demonstrated experience implementing AIOps or observability platforms. Experience with at least one major cloud provider. Able to coordinate effectively across technical architecture, security, operations, and delivery teams. Comfortable evaluating and adopting relevant technologies without requiring experience with every product listed.

Job Description Backend Engineer – Java/Python, AWS & Terraform Location: Jersey City, NJ Onsite.- Locals Prefered Work Authorization: US Citizen, Green Card, or GC EAD preferred W2 Requirement- No C2C, 1099, or third-party profiles accepted. Position Overview We are seeking a Backend Engineer to design, develop, test, deploy, and support production-grade software applications using Java and/or Python in AWS cloud environments. The ideal candidate combines strong software engineering fundamentals with hands-on experience building APIs and backend services, managing cloud infrastructure using Terraform, and working with relational or NoSQL databases. The engineer will contribute to system design, secure coding, automated testing, CI/CD, infrastructure automation, and production incident resolution while collaborating with product, QA, SRE/operations, and security teams. Key Responsibilities • Design, develop, test, deploy, and maintain production-grade backend applications using Java and/or Python., • Build and maintain APIs, microservices, and cloud-based backend solutions on AWS., • Write secure, maintainable, high-quality code and participate in peer code reviews., • Troubleshoot application and infrastructure issues, perform root-cause analysis, and implement permanent fixes., • Contribute to system design, service architecture, performance optimization, and reliability improvements., • Use Terraform or similar infrastructure-as-code tools to provision and manage cloud resources and environments., • Develop and maintain automated tests and contribute to CI/CD pipeline improvements., • Work with relational and/or NoSQL databases, including data modeling and query optimization., • Apply secure coding practices, logging, monitoring, error handling, and resilience patterns., • Use approved AI-assisted engineering tools when appropriate, validating generated code and recommendations for security, correctness, and performance., • Document technical decisions and collaborate with cross-functional engineering teams. Required Qualifications • Strong proficiency in Java and/or Python, including object-oriented programming, data structures, algorithms, and software design fundamentals., • Hands-on experience developing, testing, deploying, and supporting production applications., • Practical AWS cloud experience deploying or operating backend services., • Experience designing, developing, and consuming APIs., • Familiarity with microservices and/or event-driven architectures., • Experience with Terraform or comparable infrastructure-as-code tooling., • Experience with relational and/or NoSQL databases, including backend data modeling., • Understanding of secure coding, production troubleshooting, performance, logging, and monitoring., • Ability to work independently and collaborate effectively on technical design and delivery. Preferred Qualifications • Experience with Kafka, Amazon SQS/SNS, Kinesis, MQ, or other messaging/eventing platforms., • Experience with Docker, containers, and CI/CD tools., • Knowledge of unit testing, integration testing, and test-driven development., • Familiarity with REST, gRPC, metrics, distributed tracing, and observability., • Experience working in enterprise or financial-services engineering environments.

Job DescriptionOur client, a Financial company, is looking for a Senior .NET Backend & Integration Engineer for their Jersey City, NJ location. Responsibilities: • API Development & Data Integration: Design, code, and optimize secure multi-tenant APIs using C# and .NET Core that dynamically query and aggregate data across Amazon DynamoDB, PostgreSQL, and varied external client data sources., • Technical Guidance: Provide clear architectural requirements to DevOps and Network Engineering teams regarding application infrastructure needs., • Integration Testing: Collaborate with network and infrastructure peers to validate secure backend connections to external client data centers., • Cross-Network Troubleshooting: Diagnose, isolate, and debug end-to-end data routing issues between the AWS-hosted API and remote external databases. Requirements: • This is a hands-on backend engineering role for a developer who will build and deploy a multi-tenant SaaS application on AWS., • You will write high-performance APIs using C# and .NET that communicate with DynamoDB, PostgreSQL, and various external client data sources., • You do not need to perform network-level coding; instead, you will collaborate with DevOps and Network Engineers to guide infrastructure setup, test hybrid connectivity, and troubleshoot cross-network data access issues., • Languages & Frameworks: Expert-level C#, .NET Core, • Data Stores & Integration: Deep hands-on experience with Amazon DynamoDB, PostgreSQL (Entity Framework Core or Dapper), and writing abstract data access layers to query heterogeneous external data sources., • SaaS Multi-Tenancy: Real-world experience implementing application-level tenant isolation, data partitioning, and tenant context middleware., • Hybrid Networking Concepts: Solid conceptual understanding of VPCs, AWS PrivateLink, and firewalls to effectively guide networking peers., • DevOps Liaison: Basic familiarity with cloud infrastructure deployment (Terraform, AWS CDK) to streamline pipeline integrations., • Experience: 5+ years of active, hands-on backend development building distributed systems on AWS., • Communication: Strong collaborative skills to translate complex application data requirements into actionable tasks for infrastructure teams., • Wanted to clarify that this is an Architect/Senior Developer role that requires strong hands-on coding and troubleshooting experience., • The position is not focused solely on solution design or high-level architecture; it involves active participation in development, debugging, problem resolution, and technical implementation., • The ideal candidate should have a proven track record of writing production-quality code, investigating and resolving complex technical issues, and contributing directly to the delivery of software solutions while also providing architectural guidance when needed. Why Should You Apply? • Health Benefits, • Referral Program, • Excellent growth and advancement opportunities

Job Description Job Title: Chatbot Developer Job Summary We are seeking a Chatbot Developer to design, develop, deploy, and maintain intelligent chatbot solutions for web, mobile, messaging, and enterprise platforms. The ideal candidate will have expertise in chatbot development, Natural Language Processing (NLP), Large Language Models (LLMs), API integration, and conversational design. You will work with AI Engineers, Product Managers, UX Designers, and Software Engineers to deliver secure, scalable, and user-friendly conversational experiences. Key ResponsibilitiesDesign, develop, and maintain AI-powered chatbots for customer-facing and internal business applications.Build conversational workflows, dialogue management, and multi-turn interactions.Develop chatbot solutions using LLMs, NLP techniques, and Generative AI technologies.Implement Retrieval-Augmented Generation (RAG) pipelines using enterprise knowledge bases and vector databases.Design and optimize prompts, system instructions, and conversation flows to improve response quality and user experience.Integrate chatbots with enterprise applications, CRM systems, databases, APIs, and third-party services.Develop backend services and RESTful APIs using Python frameworks such as FastAPI or Flask.Implement authentication, authorization, data privacy, and AI safety guardrails.Monitor chatbot performance, conversation quality, response accuracy, latency, and user satisfaction.Analyze conversation logs and user feedback to continuously improve chatbot performance.Deploy, monitor, and maintain chatbot applications using cloud-native and DevOps practices.Collaborate with cross-functional teams to deliver high-quality conversational AI solutions. Required QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, Data Science, or a related field.2 5 years of experience in chatbot development, conversational AI, NLP, or AI application development.Strong programming skills in Python; JavaScript or TypeScript experience is an advantage.Experience working with Large Language Models (LLMs) and prompt engineering.Knowledge of NLP concepts such as intent classification, entity recognition, text processing, and dialogue management.Experience building RESTful APIs using FastAPI, Flask, or similar frameworks.Experience integrating external APIs and enterprise systems.Familiarity with Git, Docker, relational databases, and cloud platforms (AWS, Microsoft Azure, or Google Cloud Platform). Preferred QualificationsExperience with chatbot platforms such as Microsoft Copilot Studio, Azure AI Foundry, Google Dialogflow CX, Amazon Lex, IBM watsonx Assistant, Rasa, or Kore.ai.Experience implementing RAG using vector databases such as Pinecone, Milvus, Weaviate, Chroma, or Azure AI Search.Experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or Semantic Kernel.Familiarity with voice bot development using speech recognition (ASR) and text-to-speech (TTS) technologies.Experience deploying AI applications using Docker, Kubernetes, and CI/CD pipelines.Understanding of AI observability, evaluation, governance, and Responsible AI practices. Technical SkillsPythonJavaScript / TypeScript (preferred)FastAPIFlaskREST APIsPrompt EngineeringLarge Language Models (LLMs)LangChainLangGraphLlamaIndexSemantic KernelRetrieval-Augmented Generation (RAG)Vector Databases (Pinecone, Milvus, Weaviate, Chroma)SQLMongoDBRedisGitDockerKubernetes (preferred)AWS / Azure / Google Cloud Platform Soft SkillsStrong analytical and problem-solving abilitiesExcellent communication and collaboration skillsCustomer-focused mindsetCreativity in conversation and workflow designAttention to detailAbility to work in Agile development environments Nice to HaveExperience building AI agents with tool calling and workflow automationExperience integrating chatbots with Microsoft Teams, Slack, WhatsApp, or web applicationsKnowledge of chatbot analytics, A/B testing, and conversation optimizationFamiliarity with MLOps, DevOps, and monitoring toolsCloud or AI platform certifications Key Performance Indicators (KPIs)Chatbot task completion rateUser satisfaction (CSAT) and engagementIntent recognition and response accuracyAverage response time and latencyFirst-contact resolution rateReduction in human-agent escalationsSystem uptime and reliabilityProduction defect and incident resolution time LocationHybrid / Remote / On-site (as applicable) Employment TypeFull-time

Job DescriptionPay Rate Range: $ 45.45 - 49.24/hr. Fedops Engineer Job Description: FedOps candidate should possess strong experience in managing and supporting cloud-based and enterprise platforms within highly regulated environments, with a focus on reliability, security, and compliance. The role requires proficiency in DevOps practices such as CI/CD, infrastructure automation, and monitoring, along with hands-on expertise in troubleshooting, incident response, and system optimization to ensure high availability and performance. Candidates should be comfortable collaborating across development, security, and operations teams to streamline software delivery while adhering to governance standards typical of federal environments. Strong AAP playbook skillset, problem-solving skills, operational mindset, and the ability to continuously improve processes through automation and data-driven insights are essential. The knowledge of HPOO and HPSA are a plus in this role but not absolutely required. Core Responsibilities • Design, develop, and support event-driven automation leveraging the FedOps framework across ServiceNow, Polycloud, and enterprise platforms, • Build, maintain, and optimize automation workflows using Ansible Automation Platform (AAP), • Develop reusable, scalable playbooks for alert remediation, self-healing, and operational workflows, • Integrate automation solutions with enterprise systems (ServiceNow, APIs, infrastructure platforms), • Support onboarding of applications/use cases into FedOps and ensure alignment with enterprise standards, • Troubleshoot and resolve automation failures, ensuring reliability and operational resiliency Required Skills (Must-Have) • Strong, hands-on expertise in Ansible Automation Platform (AAP) including: o Playbook development and optimization o Job templates and workflow templates o RBAC and secure execution models o Integration with external systems (ServiceNow, APIs, etc.) • Solid scripting skills (Python, PowerShell, or shell scripting), • Experience with event-driven automation and operational tooling, • Strong understanding of infrastructure, application workflows, and incident management processes Preferred / Nice-to-Have Skills • Experience with legacy automation/orchestration platforms such as: o Client Operations Orchestration (HPOO) o Client Server Automation (HPSA) • Familiarity with migration/modernization efforts from legacy platforms to AAP or other modern orchestration tools [RE: Midyea...lishments. | Outlook], • Exposure to enterprise automation ecosystems (e.g., SSP, AutoSys, ServiceNow integrations) Key Success Factors • Ability to drive automation modernization and reduce dependency on legacy tooling, • Strong focus on scalability, resiliency, and operational efficiency, • Proven ability to enable teams through reusable automation frameworks and standards Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1_MNDigital : Amazon Web Service(AWS) Cloud ComputingYes1>7 years

Job Description About Client: The client provides information technology (IT) services, including business outsourcing, infrastructure technology, and application services. The application service offered by the company includes application development, maintenance, and support. The markets served by the company are financial services and insurance, healthcare, manufacturing, government, transportation, communications, and consumer and retail industries. Salary Range: $170K-$200K/Annum Job Description: • 8 14 years of software engineering experience, with strong hands-on large-scale Python, • Working depth in at least one systems or backend language Go, Rust, Java, or C/C and the judgment to know when to reach for it, • Strong data structures and algorithms., • Strong understanding of APIs, microservices, and system design, • Hands-on experience building and operating data pipelines and production-grade distributed systems. Agentic AI and LLMs, • 2 years of hands-on LLM engineering, with at least couple agentic system you designed and took to production, • Production experience with agent frameworks LangGraph, Google ADK, CrewAI, Claude Agent SDK, or equivalent and the fluency to move between them as the ecosystem evolves, • Experience building MCP (Model Context Protocol) servers and tool-calling interfaces, • RAG from first principles: chunking strategy, embeddings, vector and hybrid retrieval, reranking, and response validation, • Strong experience with vector databases (Milvus, Pinecone, Weaviate, FAISS, etc. or cloud equivalents), • Design of guardrails and reliability patterns validators, policy checks, self-correction loops, deterministic fallbacks, circuit breakers, and rollback paths Optimization, • Deep familiarity with token optimization and context-window management context shaping, pruning, and compaction, • Latency and cost optimization through caching, model routing, batching, streaming, and parallel tool calls, • Performance testing and tuning systems against defined SLOs Evaluation, • Experience building evaluation frameworks for LLM systems offline eval sets, continuous online evaluation, and regression detection, • Instrumentation and traceability suitable for regulated enterprise environments using tools like LangSmith, Langfuse, etc. Cloud, • Hands-on AWS: containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift) and orchestration (Step Functions); Azure or GCP equivalents also valued, • Familiarity with CI/CD pipelines and DevOps practices, • Infrastructure as code with Terraform or CloudFormation, and mature CI/CD practice Working traits, • Strong analytical problem-solving with a bias to ownership and urgency, • Clear cross-team communication, working directly with client stakeholders to translate business problems into technical roadmaps, • Able to work productively in ambiguity from system-level documentation and ramp quickly in unfamiliar codebases, • Good to Have, • Experience with managed AI platforms Amazon Bedrock, Vertex AI, Azure AI paired with fluency in the underlying fundamentals Roles & Responsibilities:, • Design and build agentic systems: Lead the architecture and implementation of tool-calling agents that combine retrieval, structured reasoning, and secure action execution with least-privilege access., • Productionize LLM applications: Build retrieval pipelines, prompt synthesis, response validation, and self-correction loops, backed by rigorous evaluation., • Own the full stack: Deliver the data pipelines, backend services, distributed compute, and orchestration layer that agentic systems depend on not only the model invocation., • Engineer for reliability and governance: Build validator models, adversarial test suites, and policy checks; enforce deterministic fallbacks and rollback strategies; instrument continuous evaluation., • Optimize for cost and latency: Drive measurable improvements in token efficiency, response time, and unit economics against defined SLOs., • Codebase ownership: Build, maintain, and review high-quality Python and SQL, with an emphasis on reusable components, scalability, and performance., • Cloud integration: Deploy AI applications on AWS, Azure, or GCP with optimized resource usage and robust CI/CD., • Cross-functional collaboration: Partner with product owners, data scientists, and business SMEs to define requirements and deliver impactful AI products., • Mentoring and technical leadership: Set engineering standards and share knowledge across the team, raising the bar on AI and software engineering practice. About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment. If you have any concerns or queries about your personal information, please feel free to contact our compliance team at compliance@aptask.com. Applicant Consent: By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy, and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-355-8000 or help@aptask.com. Message frequency may vary. Msg & data rates may apply.

Job Description About The Company goop is a lifestyle platform dedicated to exploration, curation, and groundbreaking conversation. From its award-winning beauty and fashion lines to its expansive editorial lens, goop invites women to embrace the process of becoming, and to discover deep joy in the pursuit of pleasure, beauty, and growth in all phases of life. Gwyneth Paltrow began goop in the fall of 2008 as a weekly newsletter. It has expanded into a beauty, fashion, and food business that's also known for its products, curation, podcast, TV shows, live events, and retail stores. Culturally, results are the common language here — clear goals, clear numbers, a visible line from contribution to outcome. AI is native to the way the team works, in every function, which raises the bar on what a small group can accomplish. Authority sits with the work: your scope is defined, and inside it you have real decision rights that we expect you to use. Founder mode is not a phase we are in; it is how the company is built. About You You're an art director with a background in luxury brands, and you can take a campaign from first idea to final file. You come up with the concept, you're on set making the calls, and you stay with the edit until every asset meets a luxury standard. You specialize in either premium-to-luxury skincare and beauty or luxury fashion, and your portfolio shows it. You know how to make a product feel elevated and desirable: through restraint, texture, light, and a quiet confidence that never feels mass-market. You think beyond the hero image, so one shoot produces enough content to carry every channel until the next launch. You have a sharp eye for typography, pacing, and detail. You give clear, specific notes on video and can tell an editor exactly where to cut, what to trim, and which frame to hold on. About The Role goop is building a roster of freelance Art Directors to lead creative on 2027 launches for goop Beauty and GWYN, our fashion line. Projects are assigned by category, so beauty specialists lead beauty launches and fashion specialists lead GWYN collections. On each project, you own the creative from start to finish. That means concepting, executing on set, and managing post-production through to a final toolkit of approved assets that every channel uses until the next launch. Every touchpoint should carry the polish and sensibility of a luxury brand. Category Focus Beauty: Premium-to-luxury skincare and beauty launches. This includes the hero campaign film and imagery, the founder story, proof and results, how-to and tutorial content, and sensorial texture and product education that make the formulas feel indulgent and worth the investment. You also lead evergreen capture of hero products: texture macros, application and ritual videos, ingredient hero shots, and routine pairings, all held to the visual standard of prestige skincare. Fashion (GWYN): Seasonal collections, including campaign and lookbook imagery, GP wearing GWYN, on-figure and flat-lay/ghost, detail and fabric close-ups that show the craftsmanship, runway and BTS video, and styling and fit content. You also create assets for presentations, trunk shows, and activations. Responsibilities include: Concept & Pre-Production • Develop elevated campaign concepts, moodboards, and visual direction for each launch, • Map every needed asset before the shoot, across social, paid, PDP, Amazon, wholesale, retail, and event signage, • Build shot lists that cover the full set of baseline content for the category, • Plan for the special crops and versions needed for tentpoles and other initiatives On-Set Execution • Art direct photo and video shoots on set, holding every frame to a luxury standard, • Work with photographers, videographers, stylists, and talent to capture the concept and complete the full shot list Post-Production Management • Manage post-production through final delivery, including edit, retouch, color, and resizing, • Write clear, detailed edit notes on video cuts: where to cut and clip, pacing, frame selection, and versions for each platform, • Own typography and on-screen text across video and static assets, • Deliver a final toolkit, with links to every approved asset, for channel owners to use Cross-Functional Collaboration • Work with brand, marketing, social, e-commerce, and retail teams so every channel pulls from one approved source, • Use final legal-approved copy and claims across all assets, • Keep each project on schedule against the 2027 launch calendar Qualifications & Experience • Experience: Proven art direction experience at luxury or prestige brands across concept, production, and post. You need a clear specialty in either premium-to-luxury skincare and beauty or luxury fashion, • Luxury Sensibility: A trained eye for what makes a brand feel luxurious, including composition, lighting, texture, and restraint, and experience bringing that to both campaign and everyday content, • Portfolio: Campaign work in your category for premium or luxury brands, taken from concept to final assets and including both video and stills, • Post-Production: Hands-on knowledge of video editing workflows and the ability to give precise, actionable edit notes, • Typography & Design: Strong typography and layout skills, and fluency in Figma and the Adobe Creative Suite, • Skills: Highly organized, able to manage several projects at once, and calm and decisive on set, • Tools: Figma and AI platforms are both required FAQ • Engagement: This is a freelance, project-based contractor role. Projects are assigned by category (beauty or fashion)., • Compensation: Project-based fee, determined by the scope of each project. goop is an Equal Opportunity Employer. goop does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. All information provided by the applicant is collected, stored and processed in accordance with the terms of our CCPA Notice for Job Candidates. Job Disclosures: No applicant disclosures related to physical requirements or ADA-related considerations are relevant for this role.

Job DescriptionAbout Loop: Loop is an agentic restaurant intelligence software that augments back office of restaurant chains by automating workflows and delivering intelligence across the finance, operations and marketing functions. Loop deploys AI agents built by our in-house team of AI engineers, strategists and subject matter experts into restaurant brands bringing industry best practices in handling complex internal functions. We have offices in San Francisco, New York, Tampa and India. Loop is one of the fastest growing restaurant technology companies powering a few billion dollars in revenue and growing to serve 10K+ restaurants within 3 years across some of the most recognizable brands of the USA, helping them grow their topline & bottomline. Loop is built by a world class team of entrepreneurs, operators, leaders and AI engineers from different industries, ranging from cutting edge big-tech, management consulting, investment banking among others across companies like Uber, Google, Amazon, McKinsey and others. About the Role: As an Enterprise Delivery strategist in the Strategy & Operations charter of Loop, you are a custodian of value delivered to Loop’s Enterprise customers through our operations product. Loop’s products power a few billion dollars in revenue today and are poised to scale multifold over the next few years. As the products and the scope of service expands, you are expected to be the value custodian of Loop’s enterprise customers, obsessing over customer outcomes and optimizing for key metrics like time to value, engagement & outcomes for the operations product of Loop, Protect. In this role, you will cross-functionally impact our customer strategy by collaborating across functions like Sales/ GTM, Product Operations, Product & Customer Success while owning key customer value metrics. Responsibilities: • Ownership of key customer value metrics, • Building playbooks for the sales and customer support functions, • Ownership of all internal processes across analytics, product surfaces, content and communications across functions to ensure 10-star value delivery to customers, • Ownership of internal processes needed to monitor and improve agentic workflows, not limited to evals, system prompts, creating templates and agentic workflows for customers, etc, • Collaborating with the GTM/ Customer Success teams to own the implementation and business roadmap, taking business needs and customer needs into account Eligibility/ Fit: You are most likely a strong candidate for this role if you:, • Have at least 8-12 years of experience in an operations role in the restaurant industry or a direct to consumer brand or in the E-commerce, CPG or the hospitality industry, • Have been a Senior Manager or Director of Operations or in other senior operational roles, managing a broad charter across operations, • Are inherently a great sales person - be it selling a product, idea, project, vision or anything else!, • Have worked at a restaurant in-store in any capacity for 3 months or more., • Have the ability to break fairly complex problems into smaller parts and build the necessary processes and systems around them., • Have the ability to think metrics, funnels and dashboards, • Have exhibited leadership while also having worked in IC roles across your previous roles, • Have the ability to understand complex customer/ business problem statements from the lens of business and can make tradeoffs and build for the right customer outcomes, • Demonstrate key cultural values of Loop across radical ownership, customer obsession and have the ability to lose no time & move fast on solving problems., • Have a strong hunger for personal growth and wish to build and deploy products of the next generation at scale, as an operator or a founder. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Loop Loop is an agentic restaurant intelligence software that augments the back office of restaurant chains by automating workflows and delivering intelligence across the finance, operations and marketing functions. Loop deploys AI agents built by our in-house team of AI engineers, strategists and subject matter experts into restaurant brands - bringing industry best practices in handling complex internal functions. We have offices in San Francisco, New York, Tampa and India. Loop is one of the fastest growing restaurant technology companies powering a few billion dollars in revenue and growing to serve 10K+ restaurants within 3 years across some of the most recognizable brands of the USA, helping them grow their topline & bottomline. Loop is built by a world class team of entrepreneurs, operators, leaders and AI engineers from different industries, ranging from cutting edge big-tech, management consulting, investment banking among others across companies like Uber, Google, Amazon, McKinsey and others. About the Role As the first full-time Product Marketing Manager at Loop, you are the architect of how the next decade of offline operators understands what we do. Our products power a few billion dollars in transaction revenue today, and will sit inside tens of thousands of restaurants, clinics, contractors, and convenience operators over the next three years. Most of those buyers have never seen software that does what Loop does. The version of product marketing that wins here will look nothing like a typical SaaS PMM seat - and everything like a category-creation charter. The role is to define how Loop shows up in the market across all of our product verticals, the back-office functions we serve (finance, operations, marketing, analytics), and the verticals we'll enter next. This is a player-coach charter: you will set the positioning, the launch operating model, and the messaging architecture - but you will also write the first launch yourself, ship the first competitive battlecard yourself, and run the first customer story end-to-end before there is a team to delegate to. You'll partner closely with Product, Engineering, Sales/GTM and the founders - while owning how every Loop customer and prospect comes to understand what we do and why it matters. Responsibilities Stand up the product marketing function end-to-end - pick the operating model, define the positioning architecture, build the messaging system, and ship major launches personally before scaling a team behind it Own positioning across all modules and the functions Loop serves - finance, operations, marketing, analytics. Make persona-by-function the standing operating system across every surface - email campaigns, landing pages, in-product, decks, content Operate AI-forward by default. Claude and other AI workflows aren't tools you reach for occasionally. You use them to run tasks at scale, mine PostHog for activation signal, parse customer call transcripts and support tickets for what's landing, and fine-tune positioning and messaging on what the data tells you. Own how every claim earns its way into the market - every external promise, every dashboard screenshot, every customer outcome number, every "we do X" gets verified against engineering before it ships. Our credibility with data is the whole product Own launch strategy and execution for every new product, agent, and workflow. Own content and thought leadership - case studies, customer stories, executive POV, whitepapers, launch content, industry insights. Turn outcomes we have with existing customers into durable, shareable proof that drives the next ten similar deals Own sales enablement and competitive intelligence - battlecards, objection-handling, persona guides, competitive positioning, sales narratives. Help strengthen Loop’s presence across the restaurant and hospitality ecosystem. Support conference strategy, customer engagement, executive visibility, and post-event follow-through with a strong commercial mindset. Partner with the founders on executive messaging, fundraising decks, board content, and Loop's public POV - you'll be in the room where the company's narrative gets shaped Eligibility / Fit You are most likely a strong candidate for this role if you: Have extensive experience in product marketing inside high-growth B2B SaaS, AI, or vertical software companies - with at least one stint where you stood the PMM function up from zero rather than inheriting an already-running engine Have personally written the launch, recorded the battlecard, sat in on the customer interview, and shipped the case study - not just managed people who did. The early hundred miles of this role belong to the person who can do the work Think persona-first and have written for multiple buyer types in one company - a CFO and an operator do not read the same email. You hold the line between altitude-of-message and altitude-of-buyer without losing one for the other Hold a sharpened point of view on claim discipline. You've held the line against "marketing says this" when "product can't do that". You can tell the story of a moment where you refused to ship a claim until it was verified - and what happened next Think in metrics, funnels and dashboards - you have, at some point, made the case to a product team that messaging is a leading indicator of revenue, not a downstream cost center Have the ability to break complex AI, financial, or operational concepts into language a busy operator understands - without losing the substance that wins a CFO/CMO's trust Demonstrate Loop's cultural defaults: radical ownership, customer obsession, the ability to lose no time, and the discipline to ship Are comfortable with the player-coach reality of an early function for the first 12-18 months Have a strong hunger for the kind of category-defining work that comes once a decade - the chance to write the spine narrative of how the next $1T market gets explained Preferred Spikes Having one or more of the following makes you a preferred candidate, in addition to the above: You've done senior PMM work at a vertical SaaS company where the buyer is a restaurant operator/GM - and understand why marketing to an operator is structurally different from marketing to a buyer of horizontal software You've shaped a category-creating narrative at a company where the category didn't exist before - and can speak to how that narrative was built and tested You've marketed AI to non-AI audiences and understand that the language of "agents", "RAG", and "fine-tuning" does not land with everyone in a restaurant back-office You were a founder or founding marketer at a company that reached real scale, and built the narrative architecture from before the first deal through the first hundred You went through the rigor of clearing high-pedigree programs like IIT, IIM, BITS, or Ivy League universities - or cleared some of the most competitive hiring processes in Management Consulting, Investment Banking, Venture Capital / Private Equity, Big Tech, or top CPG brands You have proficiency with the modern PMM stack - Salesforce, Notion, modern CMS, PostHog, segmentation tooling - and the AI-assisted writing and research workflow that makes a one-person PMM org operate like a four-person one Equal Opportunity Loop AI is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, disability, veteran status, or any other basis protected by applicable federal, state, or local law. We are committed to providing an inclusive and accessible hiring process. If you require any reasonable accommodations or additional support at any stage of the application or interview process, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Our Team's Mission: We're hiring a Senior Campaign Manager to run some of our largest and most complex managed-service campaigns, end to end, across CTV, OLV, display, audio and YouTube. You'll execute on Equativ's own platform and on the major external DSPs. This is more than trafficking. You'll be the trusted ops partner to our top agencies, the go-to expert on our audio and streaming products (including Spotify), and a builder of new platform partnerships. You'll report to the Director of Traffic Management and work daily with Sales, Account Management, Product and Finance. Key Responsibilities:Own complex campaigns end to end • Manage end-to-end live campaigns, including setup, pacing, delivery, revenue optimization, and KPIs to drive repeat business, • Turn IOs and media plans into clean builds: flights, budgets, targeting, frequency, audience and inclusion lists, deals/PMPs, creative and tracking (CM360, DoubleVerify, IAS), • Manage recurring monthly and flighted programs for top accounts, including multi-language and multicultural campaigns, • Monitor delivery and KPIs daily (VCR, CTR, viewability, reach, CPA) and fix under-delivery or performance issues before the client notices, • Collaborate cross functionally with sales, support, and tech teams to ensure campaign delivery, • Demonstrate strong technical expertise in ad operations systems, DSPs, SSPs, and ad serversExecute across external DSPs and platforms, • Build, launch and optimize campaigns directly in The Trade Desk, StackAdapt, DV360, Walmart DSP and Nexxen, alongside our internal platform, • Set up and manage seats, advertisers, pixels, audiences and deals in each DSP, and keep access and billing clean, • Traffic on premium and partner environments such as Spotify, Amazon, Netflix, Disney/Hulu, YouTube and Twitch, • Reconcile delivery across platforms and third-party ad servers, and resolve discrepancies with partnersWhat you bring:, • 4+ years in programmatic campaign management, ad operations or trading at an agency, DSP or SSP, • Hands-on any of the following platforms platforms:, • The Trade Desk, • StackAdapt, • DV360 (Display & Video 360), • Walmart DSP (Walmart Connect), • Nexxen, • Amazon DSP, • A track record of managing high-budget, multi-channel campaigns at the same time, with strong pacing and budget control, • Deep CTV/OTT and online video knowledge: VAST/VPAID, app and channel targeting, deal IDs and PMPs, • Working knowledge of ad serving and verification: CM360 tags, macros and cache-busters, DoubleVerify, IAS, impression and click tracking, • Strong Excel/Google Sheets skills; comfort pulling and reconciling data across platforms, • Clear, calm, solutions oriented communication with agencies and internal teams \uD83D\uDC4B About us Equativ, a leading independent ad platform, brings scale and simplicity to digital advertising. Following its recent merger with Sharethrough and the acquisition of Kamino Retail, advertisers, media owners, and technology partners rely on Equativ’s advanced SSP, curation, and retail media services and technology to achieve maximum business outcomes. With a focus on privacy-first programmatic video, CTV, and data-driven solutions, Equativ enables clients to activate across the digital ecosystem while protecting consumer privacy. The company’s global expertise is also backed by a team of over 750 employees across 19 countries. As a proud recipient of the HappyIndex@Work label, Equativ is committed to providing a dynamic, flexible workplace where employees thrive, grow, and excel in both their professional and personal lives. Come and lead the charge with us in building a transparent ecosystem based on quality! ---------------------- Equativ is an equal opportunity employer. Equal access to employment, services, and programs are available to everyone, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you require reasonable accommodation throughout the application and/or interview process, please contact the recruitment team at ta-team@equativ.com We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Location: New York, NY | Hybrid – 3 days in office About the Role We're looking for a highly creative, social-first Designer and Content Creator to join an in-house creative team supporting two distinct beauty brands. This is a hands-on role for someone with an exceptional design eye, advanced retouching skills, and extensive experience developing, creating, and managing TikTok content for beauty or lifestyle brands. The ideal candidate understands TikTok culture, trends, storytelling, and what makes content resonate with audiences. You'll combine sophisticated graphic design skills with the ability to conceptualize, shoot, edit, and produce engaging, platform-native content. While TikTok will be a major focus, you'll also develop compelling creative assets for Instagram, YouTube, and other digital platforms, ensuring each brand maintains its own distinct visual identity. Requirements Key Responsibilities • Take an active role in the creative development and day-to-day content management of branded TikTok accounts, including ideation, production, editing, publishing, and performance analysis., • Conceptualize, shoot, edit, and produce original TikTok content for two beauty brands, from initial idea through final delivery., • Develop engaging short-form videos, including product demonstrations, tutorials, trend-driven concepts, and beauty storytelling., • Design sophisticated, visually compelling social assets for TikTok, Instagram, YouTube, and other digital platforms., • Provide high-quality retouching, image editing, typography, and graphic design across social and digital creative., • Translate larger brand campaigns and product launches into engaging, platform-native social content., • Independently film and edit content using smartphones, cameras, and professional editing software., • Collaborate with the Art Director, photographers, videographers, and marketing partners to develop and execute creative concepts., • Monitor TikTok trends, creator culture, emerging platform features, and content performance to inform creative decisions., • Balance planned campaigns with reactive, quick-turn content while maintaining a consistently high standard of creative execution., • Ensure all content reflects the individual visual identity, tone, and creative direction of each brand.Qualifications, • 6+ years of professional experience in social design, digital content creation, or a related creative discipline, ideally within beauty, skincare, cosmetics, fashion, or lifestyle., • Proven experience creating content for and managing branded TikTok accounts, with a strong understanding of platform strategy, audience engagement, and content performance., • Demonstrated professional graphic design experience, with advanced Photoshop and retouching skills, alongside a proven track record of creating successful social-first video content., • A strong portfolio showcasing sophisticated graphic design, beauty or product retouching, and original short-form video content., • Excellent understanding of TikTok storytelling, editing styles, trends, and platform-specific creative best practices., • Advanced proficiency in Adobe Creative Suite, particularly Photoshop, Illustrator, Premiere Pro, and After Effects., • Experience with CapCut or similar social-first editing tools., • Ability to independently conceptualize, film, edit, and deliver high-quality social content., • Experience developing content for Instagram Reels, Stories, YouTube Shorts, and other digital channels., • Strong creative judgment, organizational skills, and the ability to manage multiple projects across two distinct brands., • Experience working with independent, emerging, or digitally native beauty brands is highly desirable.Portfolio & TikTok Experience As part of your application, please provide: • Links to branded TikTok accounts you have personally worked on or managed, preferably within beauty, skincare, fashion, or lifestyle., • Two to three examples of TikTok videos you personally conceptualized, filmed, and/or edited, clearly identifying your specific contributions., • A link to your creative portfolio, demonstrating graphic design, retouching, and social content capabilities., • A brief description of your experience managing branded TikTok accounts, including measurable results, audience growth, engagement, or successful campaigns where available. We are particularly interested in seeing original work you have created and executed directly, rather than campaigns you have only supervised or coordinated. What We're Looking For We're looking for someone who genuinely understands TikTok, not simply how to edit videos for it. You should be an accomplished designer with a sophisticated visual aesthetic, excellent retouching skills, and the ability to create content that feels authentic and engaging across social platforms. Equally important is your experience working directly on branded TikTok accounts. You understand how to develop ideas, execute content, respond to trends, and use performance insights to continually improve creative output. You'll be comfortable working independently, collaborating with a broader creative team, and moving seamlessly between polished design work and spontaneous, social-first content creation. Work Arrangement: This is a hybrid position based in New York City, requiring three days per week in the office. Benefits The anticipated salary range for this role is $100,000 - $125,000 annually. Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience, and skills relative to the defined job requirements. This is a hybrid role requiring flexibility to work in-office and remotely. Evening or weekend work may occasionally be required during major projects. We offer a competitive benefits package including major medical, dental and vision insurance, FSA, HSA, and employee discounts. Industrial Color is a division of CoCreativ, a family of integrated creative production companies. Industrial Color partners with top brands, agencies, and creative professionals providing a full range of essential production services. For over 30 years, we've led the industry through a culture of innovation, bringing state-of-the-art digital production and post-production solutions to our clients. Our headquarters is based in Tribeca, NY, with offices in Los Angeles and studios in Brooklyn and Los Angeles. Our clients include: L'Oreal, Publicis, Procter & Gamble, Tommy Hilfiger, Absolut Vodka, Nike, Estee Lauder, Amazon...

Job Description Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. We built a leading performance-driven network of 100+ sites across the US, Europe, India, and Australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need. Today, Iterative Health is headquartered in Cambridge, Massachusetts, and New York City with 250+ employees world-wide. The Data Manager at Iterative Health will play a critical role in building and managing the data and dashboards that supports how we operate, make decisions, and scale the business. This role will ensure our data is accurate, accessible, secure, well-governed, and effectively managed across our growing technology ecosystem. Reporting to the Director of IT and working directly with Finance and other G&A leaders, the Data Manager will own and drive data management, governance, and quality practices across the organization. This includes establishing scalable standards and processes, improving data integrity across systems, supporting data integrations and migrations, and creating greater visibility into how data is captured, managed, and used across the business. This is an opportunity to build foundational data capabilities from the ground up, bring greater consistency and structure to our data environment, and help ensure Iterative Health has trusted data to support both day-to-day operations and long-term growth. Where You'll Drive Impact • Build, maintain, and improve dashboards, reports, and analytics tools in Amazon QuickSight, Metabase, PowerBI and other BI platforms using data stored across our AWS environment., • Partner with business teams to understand reporting and analytics needs, translate those needs into clear data requirements, and develop dashboards that make important business metrics easy to understand and act on., • Write and optimize SQL queries to analyze data, create reporting datasets, troubleshoot issues, and support scalable dashboarding and analytics., • Develop a strong understanding of our underlying data models and business processes to ensure dashboards and metrics accurately reflect how the organization operates., • Define and maintain consistent business metrics, calculations, data definitions, and reporting logic across dashboards and teams., • Validate dashboard outputs against source systems, identify data quality issues, and work with engineering, IT, and system owners to resolve discrepancies., • Design dashboards that are intuitive, performant, and useful to both operational teams and leadership., • Identify opportunities to automate recurring reporting and replace manual Excel- or spreadsheet-based processes with scalable dashboards and data products., • Partner with data and engineering teams to improve reporting datasets, data models, and pipelines as new analytics needs emerge., • Help establish standards and documentation for dashboards, metrics, data sources, and reporting logic so that analytics remain accurate and maintainable as Iterative Health grows., • Support ad hoc analysis and other data and reporting priorities across the organization as needed.What You'll Bring, • 4+ years of experience in business intelligence, analytics, data analysis, reporting, or a related field., • Strong communication skills and business sense. Able to communicate technical concepts to non-technical audiences with ease., • Strong SQL skills and experience querying relational databases and working with large datasets., • Experience building production dashboards and reports in BI tools such as Amazon QuickSight, Metabase, Tableau, Power BI, Looker, or similar platforms., • Experience translating business questions into metrics, analyses, datasets, and dashboards., • Strong understanding of data visualization and dashboard design, including how to present complex information clearly and effectively., • Ability to understand data models, relationships between datasets, and how data flows from source systems into reporting environments., • Strong analytical and problem-solving skills, including the ability to investigate unexpected results and identify the root cause of data discrepancies., • Strong attention to detail and a high level of ownership over the accuracy and reliability of reporting., • Ability to communicate technical and analytical concepts clearly to non-technical stakeholders., • Experience working cross-functionally with business, technology, and data teams., • Ability to manage multiple reporting and analytics priorities in a fast-moving environment., • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or a related field preferred.Nice to Have, • Hands-on experience with Amazon QuickSight and/or Metabase., • Experience working with data and databases hosted in AWS., • Familiarity with AWS data services such as RDS, Redshift, Athena, S3, or related technologies., • Experience creating reporting-ready datasets or semantic layers for use across multiple dashboards., • Experience with data modeling, ETL/ELT pipelines, or modern data warehouses., • Experience working with healthcare, life sciences, clinical research, or other regulated data., • Experience building executive-level and operational dashboards used to manage business performance., • Experience automating reporting processes or migrating reporting from Excel and other manual workflows into BI platforms., • Familiarity with Python or other scripting languages for data analysis and automation What You Bring to the Team • Bachelor's degree in Information Systems, Computer Science, Data Management, Business Analytics, or a related field, or equivalent experience., • 5+ years of experience in data management, data governance, business systems, data operations, or a related field., • Experience developing and implementing data governance and data quality processes., • Strong understanding of data structures, data lifecycle management, data integration, and data architecture concepts., • Experience working across multiple business systems and understanding how data moves between systems., • Strong analytical and problem-solving skills with the ability to identify root causes and develop practical solutions., • Excellent communication and stakeholder management skills, with the ability to work effectively with both technical and non-technical audiences., • Strong organizational skills and attention to detail, particularly when managing complex datasets and cross-functional initiatives., • Experience with data management, reporting, BI, or data governance tools.Preferred Qualifications, • Experience in healthcare, clinical research, health technology, or another highly regulated environment., • Experience with HIPAA, SOC 2, or other data privacy and security frameworks., • Experience with enterprise applications such as HRIS, ERP, CRM, ATS, or clinical systems., • Experience with SQL, data visualization tools, or modern data platforms., • Experience supporting data migrations, system implementations, or M&A integrations., • Experience establishing data governance programs in a growing organization. How We Work • Collaborative and low-ego team environment, • High ownership and accountability culture, • Fast-paced and highly iterative growth environment, • Open communication and continuous learning mindset, • Mission-driven organization focused on improving patient outcomes, • Comfortable navigating evolving business priorities and opportunities Benefits That Support You We believe great teams do their best work when they feel supported — professionally and personally. • Hybrid work environment with in-office collaboration two days per week in either our NYC , Southlake or Boston office, • Comprehensive medical, dental, and vision coverage, with up to 80% of premiums covered by Iterative Health, • Mental health and wellness support through Spring Health, • Health HSA or FSA options, and commuter FSA contributions supported by Iterative Health, • Unlimited PTO, 12 company holidays, and a company-wide shutdown between Christmas and New Years, • 401(k) program with a company match of up to 3% (up to $3,000 annually), • Weekly in-office lunch benefit every Tuesday New York pay range $125,000—$160,000 USD At Iterative Health, we're actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.

Job DescriptionDescription: Hybrid 4 days onsite in New York, NY Our client seeks a Senior Manager, Ad Sales Marketing to lead marketing and messaging for programmatic advertising capabilities. The role serves as a subject matter expert for the sales organization, enabling teams to position, communicate, and sell programmatic offerings. The position is cross-functional, partnering with Programmatic Sales, Ad Operations, Sales Enablement, and external DSP partners to develop sales materials, drive strategic messaging, support co-marketing initiatives, and create resources that contribute to revenue growth. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $50.00 to $60.00/hr. w2 JN -092026-108719 Responsibilities: • Serve as the internal subject matter expert on programmatic business., • Develop and refine strategic messaging, positioning, and go-to-market narratives., • Translate complex advertising and programmatic concepts into compelling sales stories., • Enable sales teams to communicate programmatic capabilities effectively., • Create, update, and maintain sales collateral, presentations, one-pagers, and pitch materials., • Ensure materials align with overall programmatic positioning and messaging., • Develop visual, client-facing materials that simplify complex concepts., • Support improvements to internal sales resources and knowledge repositories., • Partner with Programmatic Sales, Ad Operations, Sales Enablement, and Marketing teams., • Coordinate information gathering and resource development across stakeholders., • Drive projects from concept through execution., • Collaborate with leadership to support strategic initiatives., • Support co-marketing initiatives with major DSP partners., • Coordinate industry events, conferences, meetings, panels, and presentations., • Strengthen relationships with key advertising and technology partners., • Build compelling narratives around programmatic solutions., • Create presentations and materials that communicate clear value propositions., • Simplify technical information for technical and non-technical audiences. Experience Requirements:, • 7+ years of experience in programmatic advertising or related ad tech environments., • Strong understanding of programmatic advertising within streaming and digital media ecosystems., • Knowledge of the ad sales and streaming landscape., • Experience creating sales materials, presentations, and marketing resources., • Ability to manage multiple projects and priorities simultaneously., • Experience influencing and collaborating across multiple teams., • Strong written and verbal communication skills., • Proficiency with Word, Excel, Outlook, PowerPoint, and Keynote., • Nice to have: experience with Google, Amazon, The Trade Desk, or similar companies., • Nice to have: programmatic product marketing and DSP partner marketing experience., • Nice to have: streaming advertising and enterprise-level sales enablement experience., • Nice to have: large media company experience., • Success profile: deep understanding of the programmatic ecosystem, ability to simplify complex concepts, strong storytelling, strong presentation development, organizational and project management abilities, ability to influence without direct authority, and experience supporting revenue-generating sales organizations.Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact fraud@eliassen.com. About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job Description Job Description: Java AWS DeveloperJob Title Java AWS Developer Location [City, State] / Remote / Hybrid Employment Type Full-time Job Summary We are seeking an experienced Java AWS Developer to design, develop, and deploy scalable cloud-native applications using Java, Spring Boot, and Amazon Web Services (AWS). The ideal candidate will have strong expertise in Java development, microservices architecture, cloud services, RESTful APIs, and CI/CD practices. You will collaborate with cross-functional teams to build secure, high-performance, and highly available enterprise applications. Key Responsibilities Design, develop, and maintain cloud-native applications using Java and Spring Boot. Build and deploy microservices on AWS. Develop scalable RESTful APIs and integrate third-party services. Design and implement event-driven architectures using AWS services. Develop serverless applications using AWS Lambda where applicable. Optimize application performance, scalability, and availability. Integrate applications with relational and NoSQL databases. Implement security best practices using AWS IAM, Secrets Manager, and encryption. Build and maintain CI/CD pipelines for automated deployments. Monitor application health and troubleshoot production issues. Participate in code reviews, architecture discussions, and Agile ceremonies. Create and maintain technical documentation. Required Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 3 years of experience in Java development. Strong proficiency in Java (Java 8/11/17). Experience with Spring Boot, Spring MVC, and Spring Data JPA. Hands-on experience with AWS cloud services. Experience developing RESTful APIs and microservices. Strong SQL and database knowledge. Experience with Git and version control. Knowledge of Docker and containerization. Familiarity with Agile/Scrum methodologies. Preferred Qualifications AWS Certified Developer – Associate or AWS Certified Solutions Architect. Experience with Kubernetes or Amazon EKS. Knowledge of event-driven architecture. Experience with Apache Kafka or Amazon SQS. Familiarity with Infrastructure as Code (Terraform or CloudFormation). Experience with Redis or Amazon ElastiCache. Knowledge of monitoring and logging tools. Experience with CI/CD pipelines. Technical SkillsProgramming Languages Java 8/11/17 SQL Python (Preferred) JavaScript (Nice to Have) Java Technologies Spring Boot Spring MVC Spring Security Spring Data JPA Hibernate REST APIs Microservices AWS Services Amazon EC2 AWS Lambda Amazon S3 Amazon RDS Amazon DynamoDB Amazon ECS Amazon EKS AWS API Gateway Amazon SQS Amazon SNS Amazon CloudWatch AWS IAM AWS CloudFormation AWS Secrets Manager AWS Systems Manager (SSM) AWS Elastic Beanstalk AWS CodeBuild AWS CodeDeploy AWS CodePipeline Amazon ElastiCache Amazon EventBridge Database MySQL PostgreSQL Oracle SQL Server Amazon RDS DynamoDB MongoDB Messaging & Integration Apache Kafka RabbitMQ Amazon SQS Amazon SNS DevOps & CI/CD Docker Kubernetes Jenkins GitHub Actions AWS CodePipeline Azure DevOps Infrastructure as Code Terraform AWS CloudFormation Monitoring & Logging Amazon CloudWatch ELK Stack Grafana Prometheus Splunk Version Control Git GitHub GitLab Bitbucket Testing JUnit Mockito Postman Rest Assured Selenium or Playwright (Preferred) IDEs IntelliJ IDEA Eclipse Visual Studio Code Soft Skills Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and collaboratively. Strong attention to detail. Effective time management and organizational skills. Adaptability and eagerness to learn new cloud technologies. Preferred Experience Experience building enterprise cloud-native applications. Experience designing and implementing microservices architecture. Knowledge of serverless application development. Experience deploying applications using CI/CD pipelines. Experience working with distributed systems. Familiarity with security best practices for cloud applications. Experience in Agile software development environments. Nice to Have AWS Certified Developer – Associate AWS Certified Solutions Architect Spring Cloud Spring Cloud Gateway Spring Cloud Config Apache Kafka Redis / Amazon ElastiCache Elasticsearch / OpenSearch OAuth 2.0 / JWT Authentication SonarQube Terraform Helm OpenTelemetry Grafana & Prometheus Event-Driven Architecture Domain-Driven Design (DDD) Experience: 3–8 Years Notice Period: Immediate to 30 Days Preferred

Job Description Summary Vertical Relevance is looking for an AWS Cloud Security Engineer to join our team as a full-time employee in New York Metro area and be available for Hybrid work. This person is responsible for the end-to-end planning, building, and deploying of software systems. He/she will be able to drive the programming of well-constructed, testable code. As an AWS Cloud Security Engineer, you will implement technical solutions as part of a team for customer engagements. This role requires strong teamwork, communication, patience and organization skills needed to drive customer success. We are seeking experienced AWS Cloud Security Engineers to support a large-scale AWS governance and security transformation initiative. This role focuses on SCP and RCP implementation across AWS Organizations using Terraform and Control Tower AFT. Professional experience architecting/operating automated Security & Compliance / DevSecOps solutions built on AWS. We are seeking experienced AWS Cloud Security Engineers to support a large-scale AWS governance and security transformation initiative. This role focuses on SCP and RCP implementation across AWS Organizations using Terraform and Control Tower AFT. At Vertical Relevance we deliver with excellence through teamwork, automating everything, constantly learning and taking ownership for the outcomes our customers experience. Are you ready to join the team? Responsibilities Help customers shape their journey to adopting the cloud and provide our customers with technical and strategic guidance on their “cloud journey”. Consult, plan, design, and implement security solutions on the cloud customers Design and automate security and compliance solutions Become a deep technical resource that earns our customer's trust Develop high-quality technical content such as automation tools, reference architectures, and white papers to help our customers build on the cloud Innovate on behalf of customers and translate your thoughts into action yielding measurable results. Support solution development by conveying customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend expansion of capabilities through enhanced and new offerings. Assist with technical briefs that document solutions Assist with reference architecture implementations Support internal and external brand development through thought leadership: Work with Marketing/Alliances to write blog posts Work with Marketing/Alliances to develop internal case studies Qualifications Author SCP and RCP policy rule sets in Terraform. Implement and deploy policies through Control Tower AFT pipelines. Execute policy testing and blast radius analysis in sandbox environments. Deploy policies from Sandbox OU to NCZ and DPZ/Critical Zone. Build VPC endpoint, S3, and KMS resource-based policies. Develop runbooks and conduct knowledge transfer. Hands-on AWS SCP and RCP authoring experience Terraform and Infrastructure-as-Code expertise AWS Organizations and multi-account governance experience IAM Access Analyzer and IAM policy evaluation VPC Endpoint, Amazon S3, and AWS KMS policy experience AWS Certified Security - Specialty AWS Control Tower AFT experience Runbook authoring and knowledge transfer experience. Experience in software/technology customer facing experience. Must be able to code with Python. Sample Activities You’ll Do Creating a Self-Service Account Framework Assist Customer with organizational hierarchy design and configuration templates. Assist Customer in the development of referenceable playbooks, supported by relevant code examples. Assist Customer in the development of sample runbooks to automate the implementation of AWS account setup and configuration. Account Framework - Developing an automated Continuous Delivery Pipeline framework that will be used to establish AWS Accounts to configured, tested infrastructure on AWS in a repeatable, reliable and secure manner eliminating the need for manual intervention. Security Control Policies - Development of the Service Control Policies and account baselines associated with the Customer’s security and compliance requirements. Assist Customer with the development of a report and supporting sample code addressing the controls as part of the playbook. U.S. work authorization required. Candidates must be legally authorized to work in the United States without current or future employer sponsorship. Creating Security Threat Analytics and Dashboard Solutions Creating a framework to automatically gather, transform and interpret security event data in AWS. Selecting, defining, identifying security requirements and determine where: Macie can be leveraged. GuardDuty can be leveraged. Inspector can be leveraged. Security Hub can be leveraged. Alternative security products can be leveraged. Codify the provisioning of security analytics and reporting workflow: Implement Security Hub with in a central account with inputs from all accounts. Implement GuardDuty for global security events. Implement Macie for detection of sensitive data in 23 buckets. Develop AWS Config rules to enforce security configurations in CIS AWS Foundations standard. Implementing Inspector to gather findings from EC2 instances. Enable CloudTrail for monitoring API activity. Enable FlowLogs for VPC traffic Creating a Self-Service Compliance Framework Selecting tools for building Policy-as-Code controls (preventative, detective, and responsive) Development of referenceable playbooks, supported by relevant code examples for controls Development of sample runbooks to automate the implementation of controls: Policy Definition – Identification and documentation of Customer Policy in the form of specific statements that must be true about configuration of AWS resources Policy-as-Code Development – Development of the logical tests associated with each of the policies established to be used to assert the configuration state of infrastructure on AWS in order to block a build in the pipeline, take automated reactive action, or alert on violations to the policy Framework Development – A design allowing for the execution of logical tests against infrastructure code or running AWS infrastructure in order to assert the configuration state of infrastructure resources on AWS and block a build in the pipeline, take automated reactive action, or alert on violations to the policy Development of a report and supporting sample code addressing the controls as part of the playbook U.S. work authorization required. Candidates must be legally authorized to work in the United States without current or future employer sponsorship. Relevant Technical Tools Primary Languages – Python, Java, Bash Tooling, Services & Libraries – Jenkins, Gitlab, Terraform, Vault, Git, Splunk, OWASP, Trend Micro, Palo Alto, Fortify, Twistlock, Aqua Security Relevant AWS Services AWS Infrastructure Scripting – CloudFormation, AWS CLI, AWS CDK AWS Storage Services – S3 AWS Compute Services – Lambda, EC2, EKS, ECS, ECR AWS Networking Services – VPC, Route53, API Gateway, Direct Connect AWS Developer Services – CodePipeline, CodeBuild, CodeCommit, CodeDeploy AWS Management and Governance Services – Control Tower, Organizations, CloudWatch, Auto Scaling, Config, CloudTrail, Service Catalog, Systems Manager AWS Security, Identity, Compliance Services – IAM, Inspector, KMS, Secrets Manager, Security Hub, Detective, GuardDuty, Macie, HSM, Certificate Manager, WAF & Shield, Firewall Manager, Detective AWS Frameworks – Landing Zone The Company Vertical Relevance was founded to help business leaders drive value through the design and delivery of effective transformation programs across people, processes, and systems. Our mission is to help firms at any stage of their journey develop custom solutions for success and growth. We provide a full range of services from strategy and design through to implementation and training. Our collective industry expertise is our greatest asset - our professionals have an average of 20+ years’ experience within Financial Services, across Wealth Management, Asset Management, Insurance, and Banking. Within our Customer Experience practice, we add complementary industry expertise (technology and media) synergizing the most relevant and successful customer trends. We focus wholly on your success by first rigorously assessing your business and technology challenges, and then right-sizing solutions that provide a meaningful ROI. With our industry experts hitting the ground running and focusing on nimble, quality delivery, we can see rapid, tangible improvements with our clients in productivity and effectiveness. When it makes sense for your company, we leverage our product partnerships in the areas of CRM, Sales Acceleration, Predictive Analytics, Digital Knowledge Management, and Cloud Transformation. We are committed to a fair and transparent hiring process. Any application containing false information, misrepresented experience, fabricated credentials, AI-generated content presented as personal work, or applications submitted on behalf of another individual without disclosure may be disqualified. Verification of employment history, education, certifications, and identity may be conducted during the recruitment process. Vertical Relevance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Powered by JazzHR GpxQuRGrBs

Job Description Job Title: Sourcing Program Professional Job Description We are seeking a highly organized sourcing and program professional to support vendor onboarding and contracting execution. You will play a crucial role in connecting sourcing managers, business partners, and vendors, moving engagements from selection to signed contracts and live programs. Additionally, you will support ongoing supplier management and compliance once the program is active. Responsibilities • Partner with stakeholders to execute sourcing and vendor management for GenAI data annotation and collection., • Lead contract negotiations that optimize value to the company., • Manage vendor performance and governance in collaboration with the business., • Provide market intelligence and sourcing updates to leadership. Essential Skills • BS/BA degree., • 4+ years of outsourcing or strategic sourcing experience, ideally in tech or AI domains., • Demonstrated success in negotiating complex contracts and managing vendor relationships., • Strong commercial negotiation skills across multiple levers beyond rates., • Program management experience with business stakeholders, cross-functional groups, and third parties., • Highly organized and able to synthesize complex information into executive-ready summaries., • Proficiency in running RFIs and RFPs., • Expertise in pricing analysis and benchmarking using Google Sheets and Excel. Additional Skills & Qualifications • Experience sourcing annotations for ML/AI or large language model development., • Experience managing high-volume data annotation sourcing programs., • Experience working with BPOs, crowdsource/freelance platforms, and boutique data vendors., • Ability to break down vendor cost models and ROI drivers., • Prior experience at major tech companies such as Google, Amazon, Open AI, and Apple. Work Environment The position requires working onsite three days per week in NYC. The work environment is dynamic, involving collaboration with various technologies and equipment to support AI research and product development. Job Type & Location This is a Contract position based out of New York, NY. Pay and Benefits The pay range for this position is $90.00 - $95.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Job Type & Location This is a Contract position based out of New York, NY. Application Deadline This position is anticipated to close on Nov 24, 2026. Workplace Type This is a fully onsite position in New York,NY. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Job DescriptionOur client, a 3rd-generation management consulting firm. They are now looking to add to their team and are hiring a AWS GenAI Consultant. New York or New Jersey office or work remotely Summary The client is looking for an AWS GenAI Consultant to join our team as a full-time employee in our New York or New Jersey office or work remotely. This person is responsible for the end-to-end discovery, architecture, development, deployment, and optimization of secure generative AI and agentic solutions on AWS. They will drive the delivery of well-constructed, testable code that produces measurable customer outcomes. As an AWS GenAI Consultant, you will implement technical solutions as part of a team for customer engagements. This role requires strong teamwork, communication, patience, and organization skills needed to drive customer success. Responsibilities • Help customers shape their journey to adopting generative AI and provide technical and strategic guidance from use-case discovery through production., • Consult, plan, design, and implement secure generative AI and agentic solutions with customers, • Architect and build production applications using Amazon Bedrock and Amazon Bedrock AgentCore, • Become a deep technical resource that earns our customer's trust, • Develop high-quality technical content such as reusable code, evaluation suites, reference architectures, and white papers to help our customers build on AWS, • Innovate on behalf of customers and translate your thoughts into action yielding measurable results., • Support solution development by conveying customer needs and feedback as input to technology roadmaps. Share real-world implementation challenges and recommend expansion of capabilities through enhanced and new offerings., • Assist with technical briefs and decision records that document use cases, model selection, architecture, controls, and operating models, • Assist with reference architecture implementations and reusable accelerators, • Support internal and external brand development through thought leadership:, • Work with Marketing/Alliances to write blog posts, • Work with Marketing/Alliances to develop internal case studies and demonstrations Qualifications • Professional experience architecting and operating production generative AI solutions on AWS, with hands-on expertise in Amazon Bedrock and Amazon Bedrock AgentCore, • Experience in customer-facing technology delivery involving agentic systems, retrieval- augmented generation, evaluation, guardrails, security, observability, and modern software engineering, • You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Sample Activities You'll Do Creating an Enterprise RAG Framework • Assist Customer with use-case prioritization, source-system analysis, data classification, and quality, latency, and cost requirements, • Assist Customer in the development of referenceable playbooks, supported by code examples for ingestion, parsing, chunking, embedding, and retrieval, • Assist Customer in the development of sample runbooks to implement Amazon Bedrock Knowledge Bases and managed or customer-managed data sources, • Retrieval Architecture - Designing semantic and hybrid search, metadata and access- control filtering, reranking, citations, and evaluation with fit-for-purpose vector stores., • Responsible AI Controls - Applying Amazon Bedrock Guardrails for prompt attacks, harmful content, denied topics, sensitive data, grounding, and Automated Reasoning checks.• Assist Customer with the development of a report and supporting sample code documenting the architecture, evaluation results, controls, and rollout plan Creating a Production Agent Framework • Assist in selecting an agent approach and framework based on business outcomes and constraints, • Assist Customer in the development of referenceable playbooks, supported by code examples for agent tools, memory, identity, policy, and observability, • Assist Customer in the development of sample runbooks to implement a secure, scalable agent platform:, • Agent Runtime - Building agents on AgentCore Runtime or with the AgentCore harness, including streaming, session handling, and failure recovery., • Tool Integration - Connecting APIs, AWS Lambda functions, and enterprise systems through AgentCore Gateway using MCP, OpenAPI, or Smithy., • Identity and Memory - Applying AgentCore Identity and Memory for authorization, session context, long-term preferences, and tenant isolation., • Action Governance - Using Policy in AgentCore and least-privilege permissions to enforce deterministic tool access and auditable actions., • Assist Customer with the development of a report and supporting sample code addressing agent security, operations, and governance as part of the playbook Creating a GenAI Evaluation and Delivery Framework • Assist Customers in defining GenAI capabilities, success metrics, and acceptance thresholds based on identified business outcomes, • Assist Customer with reviewing the GenAI architecture against identified business outcomes and the AWS Well-Architected Generative AI Lens, recommending actions to close observed gaps, • Provide Customer with AWS best practices for quality, security, privacy, resilience, cost, and operational excellence, • Assist Customer with defining the first iteration of a minimum viable product (MVP):, • Build a multi-turn assistant with Amazon Bedrock Converse APIs, streaming, and grounded citations, • Implement an enterprise knowledge assistant with Amazon Bedrock Knowledge Bases, • Deploy an agent to AgentCore Runtime and connect governed tools through AgentCore Gateway, • Enable AgentCore Browser or AgentCore Code Interpreter when isolated web interaction or sandboxed code execution is required, • Apply Amazon Bedrock Guardrails, IAM, AWS KMS, AWS Secrets Manager, and private connectivity controls, • Provision AgentCore Observability and Evaluations, Amazon CloudWatch dashboards, OpenTelemetry traces, alerts, and quality gates, • Assist Customer in developing and implementing the first MVP in a non-production environment, under Customer's direction and using AWS best practices, • Assist Customer with identifying next steps and proposing activities for a future follow-on engagement, • Provide knowledge transfer to Customer's stakeholders on the GenAI and agent frameworks Relevant Technical Tools • Primary Languages – Python, TypeScript/JavaScript, SQL, • Tooling, Services & Libraries – Boto3, AgentCore SDK, Strands Agents, LangGraph, LangChain, LlamaIndex, FastAPI, MCP, OpenTelemetry, Git, Docker, Terraform, pytest Core AWS Services • Generative AI – Amazon Bedrock, including Knowledge Bases, Guardrails, and evaluations, • Agentic AI – Amazon Bedrock AgentCore, • Data and Retrieval – Amazon S3, Amazon OpenSearch Serverless, Amazon Aurora PostgreSQL, • Application Operations and Security – AWS Lambda, Amazon API Gateway, AWS IAM, AWS KMS, AWS Secrets Manager, Amazon CloudWatch