Requirements engineer jobs in Plainfield, NJ - 2,698 jobs

This leading NYC construction & development firm have a 40-year history of delivering bespoke high-rise projects throughout the boroughs. They are currently looking for a Junior Preconstruction Manager / Project Engineer to provide preconstruction services across multiple concurrent multi-family projects valued between $50-200M. In this role, you will work closely with the VP and the existing team across the typical precon functions from estimating and buyouts through value engineering and project cost control. Whilst existing holistic preconstruction experience is preferred, they are also open to a project management professional with estimating experience who is looking to transition to the office/a preconstruction role. Either way, the role will require circa 2-5 years' experience, and a technical (engineering or architecture) degree. This is a great opportunity to grow your career with a leading developer-builder with a great reputation and a growing backlog of projects.

About the Role We are a stealth U.S. startup building a high-impact software platform that will redefine operations within our target industry. We are searching for a Founding Engineer who has previously built and shipped full software products, someone who can take ownership, work closely with the CEO, and help craft the product from the ground up. You will be building a platform that must be secure, fast, reliable, and scalable. Your work will shape the foundation of the company. Responsibilities Build the MVP quickly while maintaining clean, modern architecture Write production-level frontend, backend, and database code Implement platform security, authentication, and data protection Collaborate closely with the CEO on product decisions and sprint priorities Build internal tools, dashboards, and new features at startup speed Help shape engineering culture from day one Requirements Experience building software from end-to-end (solo or as a lead) Strong knowledge of React/Next.js, Typescript, Node.js, PostgreSQL or similar Ability to architect secure systems with best practices Entrepreneurial mindset, comfortable iterating quickly Open to equity-only compensation during initial phase Compensation Competitive founding-team equity Equity-only in the early phase Remote Path to salary after funding If this role resonates with you and you have built full products before, please apply. I review every application personally and would love to explore whether this could be a strong fit.

🚀 We're Hiring: Salesforce Engineer 📍 Hybrid to Yardley, PA OR Newark, NJ OR Boise, ID Professional Experience 3-5 years of hands-on Salesforce engineering/development experience. Proven success designing scalable Salesforce solutions for sales & commercial teams. Expertise in Apex, LWC, Visualforce, SOQL, APIs, and integration tools. Skills & Competencies Strong analytical and problem-solving abilities. Excellent communication skills - ability to clearly articulate work across teams is critical. Ability to excel both independently and collaboratively in a fast-paced environment.

Job Description: Distinguished Engineer, Enterprise AI About Scale AI Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. The Role We're seeking a Distinguished Engineer - a hands-on technical leader operating at the VP level - to shape the vision and technical roadmap of our core AI/ML infrastructure that powers enterprise AI applications. Reporting directly to the SVP of Engineering, Enterprise AI, this individual will drive long-term technical direction for our Scale GenerativeAI Platform (SGP), influence architectural decisions across the company, and partner closely with engineering and product leaders to bring advanced AI capabilities to enterprise customers. You'll serve as a cross-organizational thought leader - setting standards for technical excellence, mentoring senior engineers, and ensuring our systems and models meet the demands of global-scale deployment. This is a rare opportunity to influence both foundational AI infrastructure and the enterprise AI applications built on top of it. Responsibilities Define and drive the technical strategy for Scale's AI/ML infrastructure and SGP platform, balancing short and long-term investments. Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems. Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation. Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization. Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation. Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership. Drive technical execution and accountability for critical cross-functional initiatives that advance Scale's enterprise AI capabilities. Qualifications 15+ years of experience as a technical software engineering leader. Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments. Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems; experience with GenAI preferred. Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact. Experience influencing and mentoring engineering teams in complex, matrixed environments. Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality. Advanced degree in Computer Science, Engineering, or related field preferred but not required. Culture & Impact At Scale, we believe that AI should amplify human potential - and our engineering culture reflects that belief. Our teams operate at the intersection of innovation, rigor, and impact, solving some of the hardest problems in AI infrastructure and deployment. The Distinguished Engineer will play a key role in shaping how AI systems are built, deployed, and governed within enterprise environments. This role represents the highest bar of technical excellence at Scale - a trusted voice in setting direction, enabling innovation, and ensuring that our technology scales responsibly and effectively to meet the evolving needs of our customers. You'll have the opportunity to influence company-wide strategy, contribute to industry-leading work in generative AI infrastructure, and mentor the next generation of engineering talent pushing the boundaries of what's possible with AI. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$285,200-$356,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

As a Forward Deployed AI Engineer at Charta, you'll play a pivotal role in deploying, customizing, and optimizing cutting-edge generative AI healthcare solutions directly for our clients. At Charta, we're pioneering a transformative approach to healthcare billing through the power of generative AI. Our mission is to revolutionize this critical yet often cumbersome aspect of healthcare, empowering medical billers and coders with tools that elevate their efficiency by leaps and bounds. Our innovative AI technology enables these professionals to operate at an astounding 10x to 100x more efficiently, while significantly reducing operational costs to just 2% of the standard expense. In an industry where the focus should rightly be on patient care and clinical services, Charta steps in to ensure that healthcare providers are unburdened from the complexities of non-clinical operations. Our cutting-edge solutions are designed to handle the intricacies of the revenue cycle, freeing up healthcare professionals to concentrate on what they do best - caring for patients. Our vision at Charta is to create a seamless, efficient, and cost-effective billing process that is invisible yet indispensable. By entrusting us with the operational challenges, healthcare providers can redirect their resources and attention towards patient-centric services, secure in the knowledge that their billing needs are expertly managed. Join us in our journey to redefine healthcare billing, and be a part of a team that's making a tangible difference in the world of healthcare. About the Opportunity As a Forward Deployed AI Engineer at Charta Health, you will be at the forefront of deploying and customizing AI-powered solutions for our clients. You will work directly with healthcare providers to understand their unique challenges and translate them into practical, data-driven solutions using AI and machine learning. This role requires a blend of technical expertise, problem-solving skills, and a strong customer-centric mindset. You will thrive in a dynamic environment, rapidly deploying and iterating on solutions to deliver immediate value. What You'll Do: Collaborate closely with healthcare clients to understand their workflows and identify opportunities to leverage AI and machine learning. Customize and deploy Charta Health's AI-driven platforms to address specific client needs. Rapidly prototype and iterate on solutions, adapting to client feedback and evolving requirements. Break down complex projects into actionable steps and deliver results in ambiguous environments. Explore and integrate a wide range of AI/ML technologies, adapting to the diverse needs of our clients. Provide technical expertise and support to clients, ensuring successful deployment and adoption of our solutions. Work closely with our internal engineering team to provide feedback and contribute to product development. Stay up-to-date with the latest advancements in AI/ML and their applications in healthcare. You'd be a great fit if you have: Proficiency and practical coding skills, with a focus on delivering tangible results. Adaptability and the ability to quickly learn and master new technologies and concepts. A priority on delivering business value over solving purely theoretical challenges. A desire to explore a wide range of technologies and problems, rather than specializing in one area. The ability to thrive in ambiguous environments and rapidly produce results. The ability to excel at breaking down complex projects into actionable steps. Resilience and resourcefulness, allowing you to overcome obstacles and find creative solutions. Ambition and a desire for a high-growth opportunity. Strong emotional intelligence, excellent communication, and interpersonal skills. Excitement about working with external customers and building strong relationships. A genuine interest in the medical field and a passion for improving healthcare. Nice to Have: Experience and/or demonstrated interest in healthcare Proficiency in Python. Experience with Large Language Models (LLMs) and prompt engineering. Experience with neural networks and machine learning What We Offer: Competitive salary and comprehensive benefits package, including health, dental, and vision. Equity & growth opportunities in a fast-growing, innovative tech startup. Ongoing professional development and access to cutting-edge AI and healthcare tools. Lively, in-person work culture at our SF Headquarters or NYC office. $120,000 - $250,000 USD depending on experience + Equity + Benefits Join us in our mission to transform healthcare through innovation! Our Commitment to Diversity We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Principal Data Engineer - New York (Hybrid, 3 days on-site) Package: Competitive - Looking for experienced ICs, package will be based on interview performance. We are partnering with a fast-growing global Data and AI Consultancy to hire Principal Data Engineers. This is an exciting opportunity for someone who loves complex problem-solving, cutting-edge technology and working across multiple clients and industries (predominantly regulated spaces: finance, insurance and health care + more). The ideal candidate is passionate about data engineering and has a background in building robust pipelines, and helping businesses leverage their data for meaningful impact. Key Responsibilities Design, build, and maintain data pipelines to ingest, transform, and load data reliably. Implement and manage data lakes and warehouses for scalable and secure access. Ensure systems are reliable, secure, and cost-effective. Collaborate closely with analysts, ML engineers, and platform teams to deliver impactful solutions. Work with modern data tools and cloud platforms to optimise performance and scalability. Technical Skills & Experience Strong experience in Python, Spark, and Airflow. Hands-on knowledge of Snowflake, Databricks, BigQuery, or Neo4J. Familiarity with dbt, Fivetran, Terraform and other data engineering frameworks. Cloud experience with AWS, Azure, or GCP. Proven track record building scalable, reliable, and secure data solutions. Comfortable problem-solving across large, complex datasets and systems. STEM degree from a top university We're open to candidates with and without consulting backgrounds but you must be excited about working with leading global brands and directly with customers. If you're interested in hearing more about this opportunity, please include you most up to date CV.

🚀 Junior Data Engineer 📝 E-Verified | Visa Sponsorship Available 🔍 About Us: BeaconFire, based in Central NJ, is a fast-growing company specializing in Software Development, Web Development, and Business Intelligence. We're looking for self-motivated and strong communicators to join our team as a Junior Data Engineer! If you're passionate about data and eager to learn, this is your opportunity to grow in a collaborative and innovative environment. 🌟 🎓 Qualifications We're Looking For: Passion for data and a strong desire to learn and grow. Master's Degree in Computer Science, Information Technology, Data Analytics, Data Science, or a related field. Intermediate Python skills (Experience with NumPy, Pandas, etc. is a plus!) Experience with relational databases like SQL Server, Oracle, or MySQL. Strong written and verbal communication skills. Ability to work independently and collaboratively within a team. 🛠️ Your Responsibilities: Collaborate with analytics teams to deliver reliable, scalable data solutions. Design and implement ETL/ELT processes to meet business data demands. Perform data extraction, manipulation, and production from database tables. Build utilities, user-defined functions, and frameworks to optimize data flows. Create automated unit tests and participate in integration testing. Troubleshoot and resolve operational and performance-related issues. Work with architecture and engineering teams to implement high-quality solutions and follow best practices. 🌟 Why Join BeaconFire? ✅ E-Verified employer 🌍 Work Visa Sponsorship Available 📈 Career growth in data engineering and BI 🤝 Supportive and collaborative work culture 💻 Exposure to real-world, enterprise-level projects 📩 Ready to launch your career in Data Engineering? Apply now and let's build something amazing together! 🚀

About Beauty by Imagination: Beauty by Imagination is a global haircare company dedicated to boosting self-confidence with imaginative solutions for every hair moment. We are a platform company of diverse, market-leading brands, including Wet Brush, Goody, Bio Ionic, and Ouidad - all of which are driven to be the most trusted choice for happy, healthy hair. Our talented team is passionate about delivering high-performing products for consumers and salon professionals alike. Position Overview: We are looking for a skilled Data Engineer to design, build, and maintain our enterprise Data Warehouse (DWH) and analytics ecosystem - with a growing focus on enabling AI-driven insights, automation, and enterprise-grade AI usage. In this role, you will architect scalable pipelines, improve data quality and reliability, and help lay the foundational data structures that power tools like Microsoft Copilot, Copilot for Power BI, and AI-assisted analytics across the business. You'll collaborate with business stakeholders, analysts, and IT teams to modernize our data environment, integrate complex data sources, and support advanced analytics initiatives. Your work will directly influence decision-making, enterprise reporting, and next-generation AI capabilities built on top of our Data Warehouse. Key Responsibilities Design, develop, and maintain Data Warehouse architecture, including ETL/ELT pipelines, staging layers, and data marts. Build and manage ETL workflows using SQL Server Integration Services (SSIS) and other data integration tools. Integrate and transform data from multiple systems, including ERP platforms such as NetSuite. Develop and optimize SQL scripts, stored procedures, and data transformations for performance and scalability. Support and enhance Power BI dashboards and other BI/reporting systems. Implement data quality checks, automation, and process monitoring. Collaborate with business and analytics teams to translate requirements into scalable data solutions. Contribute to data governance, standardization, and documentation practices. Support emerging AI initiatives by ensuring model-ready data quality, accessibility, and semantic alignment with Copilot and other AI tools. Required Qualifications Proven experience with Data Warehouse design and development (ETL/ELT, star schema, SCD, staging, data marts). Hands-on experience with SSIS (SQL Server Integration Services) for building and managing ETL workflows. Strong SQL skills and experience with Microsoft SQL Server. Proficiency in Power BI or other BI tools (Tableau, Looker, Qlik). Understanding of data modeling, performance optimization, and relational database design. Familiarity with Python, Airflow, or Azure Data Factory for data orchestration and automation. Excellent analytical and communication skills. Preferred Qualifications Experience with cloud data platforms (Azure, AWS, or GCP). Understanding of data security, governance, and compliance (GDPR, SOC2). Experience with API integrations and real-time data ingestion. Background in finance, supply chain, or e-commerce analytics. Experience with NetSuite ERP or other ERP systems (SAP, Oracle, Dynamics, etc.). AI Focused Preferred Skills: Experience implementing AI-driven analytics or automation inside Data Warehouses. Hands-on experience using Microsoft Copilot, Copilot for Power BI, or Copilot Studio to accelerate SQL, DAX, data modeling, documentation, or insights. Familiarity with building RAG (Retrieval-Augmented Generation) or AI-assisted query patterns using SQL Server, Synapse, or Azure SQL. Understanding of how LLMs interact with enterprise data, including grounding, semantic models, and data security considerations (Purview, RBAC). Experience using AI tools to optimize ETL/ELT workflows, generate SQL scripts, or streamline data mapping/design. Exposure to AI-driven data quality monitoring, anomaly detection, or pipeline validation tools. Experience with Microsoft Fabric, semantic models, or ML-integrated analytics environments. Soft Skills Strong analytical and problem-solving mindset. Ability to communicate complex technical concepts to business stakeholders. Detail-oriented, organized, and self-motivated. Collaborative team player with a growth mindset. Impact You will play a key role in shaping the company's modern data infrastructure - building scalable pipelines, enabling advanced analytics, and empowering the organization to safely and effectively adopt AI-powered insights across all business functions. Our Tech Stack SQL Server, SSIS, Azure Synapse Python, Airflow, Azure Data Factory Power BI, NetSuite ERP, REST APIs CI/CD (Azure DevOps, GitHub) What We Offer Location: New York, NY (Hybrid work model) Employment Type: Full-time Compensation: Competitive salary based on experience Benefits: Health insurance, 401(k), paid time off Opportunities for professional growth and participation in enterprise AI modernization initiatives

A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

AI is only as powerful as the tools it can access. Model Context Protocol (MCP) is emerging as the standard for connecting AI to tools & systems-but enterprises can't adopt it safely without security, observability, and control. That's where we come in. At Runlayer, we're building the AI enablement layer for modern enterprises. Our platform enables organizations to safely connect agents to their systems through MCP, with the security, auditability, and management enterprises demand. We're a well-funded early-stage team that built Zapier's AI platform. We're hiring a Senior Forward Deployed Engineer (US-EU time zones) to work directly with our top enterprise customers, building custom MCP solutions and solving ad-hoc problems with code and AI. Why You'll Thrive Here Impact: Build and deploy custom MCP servers that directly enable AI capabilities for the world's best companies, seeing immediate impact on their operations. Excellence: Work alongside top-tier engineers and directly with enterprise customers, learning from both technical challenges and business needs. Ownership: Take full ownership of customer relationships and technical solutions, from initial problem discovery through deployment and iteration. What You'll Do Build bespoke MCP servers for enterprise customers. You'll architect, develop, and deploy custom MCP servers tailored to each customer's specific systems, APIs, and workflows. Work directly with customers to understand their needs. You'll conduct discovery sessions, technical deep-dives, and ongoing collaboration to ensure solutions meet their exact requirements. Solve ad-hoc problems with code and AI. You'll tackle unique integration challenges, data transformation needs, and custom workflow requirements using both traditional coding and AI-assisted development. Iterate rapidly based on customer feedback. You'll continuously improve and extend MCP servers based on real-world usage patterns and customer requests. Bridge technical and business requirements. You'll translate business needs into technical specifications and communicate technical constraints to business stakeholders. Contribute to our MCP platform and tooling. You'll help improve our core platform based on insights gained from customer deployments and common patterns you identify. What We're Looking For Senior engineering expertise. 4+ years of software engineering experience with proficiency in Python, TypeScript/JavaScript, and modern development practices. Customer-facing experience. Proven track record of working directly with enterprise customers, understanding their needs, and delivering technical solutions that meet business requirements. API and integration experience. Deep experience building integrations with various APIs, databases, and enterprise systems. Understanding of authentication, data transformation, and error handling patterns. AI and LLM familiarity. Experience working with AI/ML systems, understanding of LLM capabilities and limitations, and comfort with AI-assisted development workflows. Problem-solving mindset. Ability to quickly understand complex business problems, break them down into technical components, and build pragmatic solutions. Communication skills. Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. Rapid prototyping abilities. Comfort with building quick prototypes and MVPs to validate approaches before full implementation. Bonus qualifications MCP or agent framework experience. Direct experience with Model Context Protocol, FastMCP, Vercel AI sdk, Agents SDK, LangGraph, or similar AI agent frameworks. Enterprise software experience. Background working with enterprise systems like Salesforce, ServiceNow, Jira, Slack, or similar platforms. DevOps and deployment experience. Experience with containerization, cloud deployments, and CI/CD pipelines for customer-facing solutions. Security and compliance knowledge. Understanding of enterprise security requirements, data privacy, and compliance frameworks. What We Offer We provide a competitive package designed to attract and retain top talent who can work effectively with enterprise customers. Competitive salary and equity - compensation that reflects your expertise and customer-facing responsibilities. Paid time off - 4 weeks paid vacation, paid sick leave, and paid parental leave. Professional development - budget for conferences, courses, and certifications in AI, enterprise software, and customer success. Top-tier equipment - your choice of laptop and accessories to create your ideal work environment. Health benefits - comprehensive health, dental, and vision coverage. Customer interaction opportunities - work directly with innovative companies and see the immediate impact of your work. Not quite the right fit? Reach out to ******************** with details about your experience and interests. #J-18808-Ljbffr

About Judi Health Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers, Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Judi, the industry's leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we're rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit **************** Location: Remote (For Non-Local) or Hybrid (Local to NYC area or Denver, CO) Position Summary: We are seeking a highly motivated and talented Data Engineer to join our team and play a critical role in shaping the future of healthcare data management. This individual will be a key contributor in building robust, scalable, and accurate data systems that empower operational and analytics teams to make informed decisions and drive positive outcomes. Position Responsibilities: Lead relationship with operational and analytics teams to translate business needs into effective data solutions Architect and implement ETL workflows leveraging CapitalRx platforms and technologies such as Python, dbt, SQLAlchemy, Terraform, Airflow, Snowflake, and Redshift Conduct rigorous testing to ensure the flawless execution of data pipelines before production deployment Identify, recommend, and implement process improvement initiatives. Proactively identify and resolve data-related issues, ensuring system reliability and data integrity Lead moderately complex projects. Provide ongoing maintenance and support for critical data infrastructure, including 24x7 on-call availability Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field 2+ experience working with Airflow, dbt, and Snowflake Expertise in data warehousing architecture techniques and familiarity with Kimball methodology Minimum 3+ years experience with a proven track record as a Data Engineer, displaying the ability to design, implement, and maintain complex data pipelines 1+ year experience in Python, SQL Capacity to analyze the company's broader data landscape and architect scalable data solutions that support growth Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders A self-motivated and detail-oriented individual with the ability to tackle and solve intricate technical challenges Preferred Qualifications: 1-3 years of experience as a Data Engineer, ideally in the healthcare or PBM sector Advanced proficiency with Airflow, dbt, and Snowflake, coupled with 3+ years of SQL development and Python experience This range represents the low and high end of the anticipated base salary range for the NY-based position. The actual base salary will depend on several factors such as experience, knowledge, and skills, and if the location of the job changes. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Salary Range$120,000-$140,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at*********************************************

Mini-Circuits designs, manufactures and distributes integrated circuits, modules, and sub-systems for high-performance radio frequency (RF) and microwave applications. With design, sales, and manufacturing locations in over 30 countries, Mini-Circuits' products are used in a range of wired and wireless communications applications. Our products are also used in detection, measurement, and imaging applications, including military communication, guidance, and electronic countermeasure systems, commercial, scientific, military land, sea, and aircraft; automotive systems, medical systems, and industrial test equipment. Mini-Circuits sells its products to over 20,000 customers globally through our direct sales force, applications engineering staff, and sales representatives, as well as through our extensive website. Position Summary Design, validate, and scale automated production test systems and robotic device handlers for RF and Microwave components. This role is responsible for enabling standardized architectures, throughput improvement, global alignment, and long-term scalability of automated test processes. Salary Range $100,000 - $125,000 per year Job Function Define, design, and validate standardized robotic test handlers, adaptable across multiple RF product lines. Drive new handler integrations and improvements, document FPY, OEE, and operator experience metrics. Collaborate with global teams (Brooklyn, Florida, India, Malaysia) to ensure alignment, backup-site readiness, and standardized deployment. System Design & Development Analyze test and assembly processes to identify candidates for automation based on capacity, efficiency, and process control needs. Develop scalable, modular designs for automated handlers, including mechanical, electrical, vision, and control systems. Specify and integrate sensors (vision, position, presence), robotic arms, conveyors, and fixturing for precision RF component handling. Incorporate RF test-specific requirements (grounding, thermal, high-frequency probing, shielding). Prepare proposals, resource/budget estimates, and project plans for new automation initiatives. Lead cross-functional reviews and maintain stakeholder communication from concept to qualification. Manage vendor engagement, procurement, build, and qualification of handler systems. Documentation & Training Create system specifications, qualification/buy-off plans, operation and maintenance procedures. Train users and support personnel on deployed automation platforms. Drive continuous improvement in throughput, FPY, reliability, and maintainability. Track and implement engineering changes and upgrades into future designs. Stay current with emerging automation technologies (vision, robotics, motion systems, AI-driven inspection) and evaluate for Mini-Circuits applications. Qualifications BS/MS degree in Mechanical, Electrical, Mechatronics, or Control Systems Engineering. Minimum 5 years of relevant experience. Experience with robotic systems, automated handlers, or precision motion/vision-based automation. Familiarity with high-mix/low-to-medium volume manufacturing environments. Controls programming experience (PLC, microcontrollers in C/C++, or equivalent). Data collection and analysis skills (Excel, JMP, Python). Preferred Knowledge Experience with automated inspection systems (AOI, Keyence, Cognex vision). Knowledge of RF test process requirements and challenges. Conveyor/robot integration, pneumatic actuators, precision fixturing. Understanding of Lean Manufacturing, OEE analysis, and ROI calculations. Exposure to manufacturing ERP and PLM systems (SAP, Arena PLM, etc.). Skills Strong communication and documentation skills. Ability to lead cross-functional teams and vendor collaborations. Capable of balancing hands‑on design/build/debug with strategic project leadership. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Additional Requirements/Skills Must be a US citizen or US permanent resident Ability and willingness to abide by Company's Code of Conduct Occasional travel, some overnight, as required Benefits Comprehensive Medical, Dental, and Vision plans 401(K) and Profit‑Sharing Programs Disability Insurance Life Insurance Employer‑Sponsored Wellness Plans Hospital & Accident Indemnity Insurance Employee Benefit Advocate & Employee Assistance Program ul> Disclaimer: The listed qualifications and requirements for each position are intended as guidelines. Mini-Circuits reserves the right to hire outside of these guidelines at Management's discretion. Mini-Circuits is an Equal Opportunity Employer and does not discriminate on the basis of actual or perceived age, race, creed, color, national origin, sexual orientation, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, gender identity, gender dysphoria, pregnancy‑related condition, and domestic violence victim status or protected class characteristic, or any other protected characteristic as established by federal or state law. #J-18808-Ljbffr

As a Founding Engineer, you'll build core platform components that unify fragmented wealth management tools into one AI-native solution. You'll own major technical domains from the ground up, working directly with our founder to establish the technical foundations of the platform. What You'll Do Design and build end-to-end AI-powered workflows that automate complex financial advisor processes Design multi-agent AI workflows that automate complex financial processes and deliver intelligent insights Architect scalable systems handling real-time financial data orchestration across multiple third-party integrations Craft intuitive interfaces that make sophisticated AI capabilities accessible to financial professionals Make critical technical decisions with significant autonomy, shaping both product direction and engineering culture Qualifications 5+ years of experience as a full-stack engineer with Tier 1 venture-backed start-ups (Series B or earlier only) and Applied AI exposure Tech stack Python, Django, TypeScript, Vercel, AWS ECS, RDS/Postgres, Redis, Terraform, AI tools (e.g., ChatGPT, Claude Code, Cursor) Job Information Salary: $180k - $250k Equity: Incredibly competitive equity package available Visa: Sponsorship available On-site: In-person 5 days per week in NYC Position: Full-time position Location: New York City, NY

Join our IT team, advance your career, and seize the opportunity as a Digital Employee Experience Google CES Engineer. We foster a culture of knowledge sharing and actively seek innovative thinkers who aim to shape the future. In this role, you will gain valuable experience into our business operations and have the opportunity to be an integral part of something big!The Google Engineer for Customer Engagement Suite (CES) is a visionary and hands-on technical leader responsible for designing, implementing, and optimizing enterprise-scale solutions using Google's Contact Center as a Service (CCaaS) and Contact Center Artificial Intelligence (CCAI) platforms. This individual will define technical standards, ensure architectural integrity, and guide customers through their digital transformation journeys, leveraging the latest advancements in Google Cloud technologies. Required Education/Experience * Master's Degree Information Technology, Computer Science, or Engineering and A minimum of 3 years of IT experience or * Bachelor's Degree Information Technology, Computer Science, or Engineering and A minimum of 5 years of IT experience or * Associate's Degree Information Technology, Computer Science, or Engineering and A minimum of 7 years of IT experience or * High School Diploma/GED and A minimum of 10 years of IT experience Relevant Work Experience * Solid understanding of core GCP concepts, including setting up projects, understanding billing, and IAM (Identity & Access Management), with hands-on experience in roles, service accounts, and least-privilege design, required. * Familiarity with Infrastructure as Code (IaC) using tools such as Terraform or Deployment Manager to enable scalable and automated deployments, required. * Experience with Monitoring and Logging, including configuring dashboards, alerts, and incident response processes to ensure system reliability, required. * Proven expertise in implementing Google CCaaS and CCAI platforms, with hands-on experience in configuring, deploying and optimizing these technologies, required. * Familiarity with the Google Cloud platform ecosystem, including Compute Engine, Cloud Functions, Pub/Sub, Cloud Storage, and apply cyber security best practices, required. * Strong understanding of call routing, IVR, speech recognition, agent assist, analytics, reporting, and omnichannel capabilities, required. * Experienced in integrating cloud-based contact center platforms with CRM, ticketing systems, and custom enterprise applications, required. * Experienced in designing RESTful APIs and integrating with third-party services using modern architectures (microservices, event-driven design, etc.), required. * Practical knowledge of privacy frameworks and implementation of role-based access control, encryption, and data governance, required. * Demonstrated ability to lead cross-functional teams on complex technical projects from concept through delivery, required. * Ability to explain technical concepts to stakeholders and translate business needs into successful technical outcomes, required. * Experience with AI/ML frameworks and natural language processing platforms is preferred. Skills and Abilities * Ability to build strong customer relationships * Excellent collaboration and team building skills * Well organized, detail oriented and flexible to handle multiple assignments Licenses and Certifications * Driver's License Required * Other: Google Cloud certifications such as Professional Cloud Architect, Professional Collaboration Engineer, or relevant specializations. Preferred Physical Demands * Ability to push, pull, and lift up to 40 pounds * Sit or stand to use a keyboard, mouse, and computer for the duration of the workday * Possess manual dexterity and the ability to use hands for the duration of the workday * Ability to stoop, bend, reach, and kneel throughout the workday * Ability to read small print and symbols Additional Physical Demands * The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays. * The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays. Core Responsibilities * Architect, design, and implement contact center solutions that leverage Google CCaaS and CCAI, ensuring they meet enterprise-grade performance, security, and scalability requirements. * Collaborate with stakeholders, engineers, and product teams to gather requirements, analyze business processes, and translate them into solid technical solutions. * Lead end-to-end deployment and integration of Google CCaaS and CCAI, including conversational AI, virtual agents, agent assist, and speech analytics modules. * Act as the Subject Matter Expert to stakeholders, demonstrating thought leadership in CCaaS/CCAI technology and cloud transformation initiatives. * Mentor and guide engineering teams, fostering innovation and excellence in solution delivery. * Design and oversee integrations with legacy systems, CRM platforms, and third-party applications via APIs and microservices. * Monitor system performance, recommend enhancements, and adopt emerging Google Cloud technologies to drive continuous improvement. * Ensure solutions align with enterprise governance, compliance, risk management and cyber security frameworks. * Provide high-level support for critical incidents, troubleshoot architectural issues, and lead root cause analysis efforts. * Must be flexible and able to work off-hours as required to support deployments, resolve issues and respond to corporate emergencies.

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world's leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies. Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions. End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure. Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation. Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design. Leadership Growth: This role offers a unique opportunity to lead critical projects, shape our engineering culture, and accelerate your career growth in the rapidly evolving field of Generative AI. You'll be positioned to become a future leader in a company defining the next era of technology. Requirements: At least 2 years of relevant experience is preferred Proven track record of shipping high-quality products and features at scale. Strong problem-solving skills and the ability to work independently or as part of a collaborative team. Desire to thrive in a fast-paced, dynamic environment. Ability to turn business and product ideas into engineering solutions. Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Ability to adapt quickly to the ever-changing world of generative AI. Excited to join a dynamic, hybrid team in either San Francisco or New York City. Preferred Qualifications: Experience with large-scale data processing and distributed systems. Familiarity with machine learning and AI concepts. Experience working directly with enterprise customers. Experience with cloud-based infrastructure. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$179,400-$224,250 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; we are looking for candidates with a strong background in Software Engineering or Computer Science for a Java/Software Developer position. Responsibilities: ● Develop software and web applications using Java 8/J2EE/Java EE (and higher), React.js,Angular2+, SQL, Spring, HTML5, CSS, JavaScript and TypeScript among other tools; ● Write scalable, secure, maintainable code that powers our clients' platforms; ● Create, deploy, and maintain automated system tests; ● Work with Testers to understand defects opened and resolves them in a timely manner; ● Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review; ● Collaborate effectively with other team members to accomplish shared user story and sprint goals; Basic Qualifications: ● Experience in programming language JavaScript or similar (e.g. Java, Python, C, C++, C#, etc.) an understanding of the software development life cycle; ● Basic programming skills using object-oriented programming (OOP) languages with in-depth knowledge of common APIs and data structures like Collections, Maps, lists, Sets etc. ● Knowledge of relational databases (e.g. SQL Server, Oracle) basic SQL query language skills Preferred Qualifications: ● Master's Degree in Computer Science (CS) ● 0-1 year of practical experience in Java coding ● Experience using Spring, Maven and Angular frameworks, HTML, CSS ● Knowledge with other contemporary Java technologies (e.g. Weblogic, RabbitMQ, Tomcat, etc.) · Knowledge of JSP, J2EE, and JDBC · Compensation: $65,000.00 to $80,000.00 /year BeaconFire is an e-verified company. Work visa sponsorship is available.

Join our IT team, advance your career, and seize the opportunity as a Digital Employee Experience Google CES Engineer. We foster a culture of knowledge sharing and actively seek innovative thinkers who aim to shape the future. In this role, you will gain valuable experience into our business operations and have the opportunity to be an integral part of something big!The Google Engineer for Customer Engagement Suite (CES) is a visionary and hands-on technical leader responsible for designing, implementing, and optimizing enterprise-scale solutions using Google's Contact Center as a Service (CCaaS) and Contact Center Artificial Intelligence (CCAI) platforms. This individual will define technical standards, ensure architectural integrity, and guide customers through their digital transformation journeys, leveraging the latest advancements in Google Cloud technologies. Required Education/Experience Master's Degree Information Technology, Computer Science, or Engineering and A minimum of 3 years of IT experience or Bachelor's Degree Information Technology, Computer Science, or Engineering and A minimum of 5 years of IT experience or Associate's Degree Information Technology, Computer Science, or Engineering and A minimum of 7 years of IT experience or High School Diploma/GED and A minimum of 10 years of IT experience Relevant Work Experience Solid understanding of core GCP concepts, including setting up projects, understanding billing, and IAM (Identity & Access Management), with hands-on experience in roles, service accounts, and least-privilege design, required. Familiarity with Infrastructure as Code (IaC) using tools such as Terraform or Deployment Manager to enable scalable and automated deployments, required. Experience with Monitoring and Logging, including configuring dashboards, alerts, and incident response processes to ensure system reliability, required. Proven expertise in implementing Google CCaaS and CCAI platforms, with hands-on experience in configuring, deploying and optimizing these technologies, required. Familiarity with the Google Cloud platform ecosystem, including Compute Engine, Cloud Functions, Pub/Sub, Cloud Storage, and apply cyber security best practices, required. Strong understanding of call routing, IVR, speech recognition, agent assist, analytics, reporting, and omnichannel capabilities, required. Experienced in integrating cloud-based contact center platforms with CRM, ticketing systems, and custom enterprise applications, required. Experienced in designing RESTful APIs and integrating with third-party services using modern architectures (microservices, event-driven design, etc.), required. Practical knowledge of privacy frameworks and implementation of role-based access control, encryption, and data governance, required. Demonstrated ability to lead cross-functional teams on complex technical projects from concept through delivery, required. Ability to explain technical concepts to stakeholders and translate business needs into successful technical outcomes, required. Experience with AI/ML frameworks and natural language processing platforms is preferred. Skills and Abilities Ability to build strong customer relationships Excellent collaboration and team building skills Well organized, detail oriented and flexible to handle multiple assignments Licenses and Certifications Driver's License Required Other: Google Cloud certifications such as Professional Cloud Architect, Professional Collaboration Engineer, or relevant specializations. Preferred Physical Demands Ability to push, pull, and lift up to 40 pounds Sit or stand to use a keyboard, mouse, and computer for the duration of the workday Possess manual dexterity and the ability to use hands for the duration of the workday Ability to stoop, bend, reach, and kneel throughout the workday Ability to read small print and symbols Additional Physical Demands The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays. The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays. Core Responsibilities Architect, design, and implement contact center solutions that leverage Google CCaaS and CCAI, ensuring they meet enterprise-grade performance, security, and scalability requirements. Collaborate with stakeholders, engineers, and product teams to gather requirements, analyze business processes, and translate them into solid technical solutions. Lead end-to-end deployment and integration of Google CCaaS and CCAI, including conversational AI, virtual agents, agent assist, and speech analytics modules. Act as the Subject Matter Expert to stakeholders, demonstrating thought leadership in CCaaS/CCAI technology and cloud transformation initiatives. Mentor and guide engineering teams, fostering innovation and excellence in solution delivery. Design and oversee integrations with legacy systems, CRM platforms, and third-party applications via APIs and microservices. Monitor system performance, recommend enhancements, and adopt emerging Google Cloud technologies to drive continuous improvement. Ensure solutions align with enterprise governance, compliance, risk management and cyber security frameworks. Provide high-level support for critical incidents, troubleshoot architectural issues, and lead root cause analysis efforts. Must be flexible and able to work off-hours as required to support deployments, resolve issues and respond to corporate emergencies.