638 jobs found

Job Description Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For: Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models), Implements Artificial/Augmented Intelligence systems, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse "big data" sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. The Data Scientist Senior will be a member of a close-knit team of data analysts, data scientists, and software developers analyzing large, multidimensional datasets from internal and external sources. The Data Scientist Senior will develop and apply novel models on customer data in order to help identify areas to increase profits and reduce losses. Essential Duties and Responsibilities: Designs and implementation of Regression based predictive models incorporating diverse data types. Integrates state-of-the-art machine learning algorithms as well as the development of new methods. Partners with experimentalists to translate models into testable hypotheses. Develops tools to support analysis and visualization of large datasets. Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms. Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers. Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence and IoT space to help in making build/buy/partner recommendations Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering. Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction. Helps efficiently maintain cloud Infrastructure for research, staging and beta/pilot environment (from costs perspective for working with huge data sets) Mentors, guides, and indirectly leads less experienced Data Scientist peers Drives innovation by fostering open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conference for employees to attend, publish papers and patent disclosures Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models. Minimum Qualifications: Bachelor's in Computer Science, Machine learning, or related discipline. 5+ years experience required. Strong background in statistics, machine learning, deep learning and programming necessary, along with time series forecasting. Hands-on experience with the Azure cloud platform, particularly Azure Databricks. Proficient in large-scale data processing using PySpark and querying with Databricks SQL. Demonstrable experience building and deploying end-to-end ML solutions. Familiarity with CI/CD principles and tools like GitHub Actions, and experience with automated deployment frameworks such as Databricks Asset Bundles. Preferred Qualifications: Master's preferred. Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multidisciplinary teams. Knowledge of statistical programming techniques and languages (e.g., R, Python, Java, etc.). Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, pyclustering, pathways analysis, MLlib). Prior experience with Tensorflow. Prior experience in Natural Language Processing using NLTK. Retail industry experience desired. Experience using cloud compute (e.g. Google Cloud Platform, AWS, Azure). Familiarity with NoSQL databases, graphical analyses, and large-scale data processing frameworks (e.g. Apache Spark). Solid understanding of data structures, software design and architecture.Ability to work independently and take initiative, but also a cooperative team player. Equal Opportunity Employer: Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at . Know Your Rights: - 10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: -_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at . Pay Range: $108,960.00 - $163,440.00 Annual Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan. Zebra Total Rewards: Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. Benefits: We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success. Job Posting Statement: To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team . click apply for full job details

Job Description Company Description Alpus Consulting LLC is a technology consulting firm that supports organizations with custom software solutions and technical expertise. The company focuses on delivering reliable, scalable, and secure applications that help clients solve complex business challenges. Team members collaborate closely with clients to understand their goals and translate requirements into practical, high-quality software. Alpus Consulting LLC values flexibility, remote collaboration, and continuous learning to keep pace with evolving technologies. The organization encourages innovative thinking and ownership of work across all levels. Role Description This is a part-time, remote Senior Software Engineer role. The Senior Software Engineer will design, develop, and maintain back-end services and APIs that support web and enterprise applications. Day-to-day work includes writing clean, efficient, and testable code, reviewing code from other team members, and contributing to architectural decisions. The role involves collaborating with consultants, project managers, and clients to refine requirements, estimate effort, and propose technical solutions. The Senior Software Engineer will also troubleshoot production issues, improve performance, and help implement best practices for security, reliability, and maintainability. Mentoring less-experienced engineers and contributing to technical documentation and standards is also expected. Qualifications Strong foundation in Computer Science, including algorithms, data structures, and software architecture. Proficiency in Software Development and Programming, with experience building and maintaining production systems. Hands-on experience with Back-End Web Development, including APIs, databases, and server-side frameworks. Advanced skills in Object-Oriented Programming (OOP) and familiarity with design patterns and clean code principles. Experience with version control (e.g., Git) and collaborative development workflows. Ability to work independently in a remote environment, manage time effectively, and communicate clearly with distributed teams. Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and CI/CD pipelines is a plus. Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Job Description Department: Sales and Business Development Role Type: Full-time, Individual Contributor Territory: North America Travel: Ability and willingness to travel up to 50%, including travel to customer sites and occasional international travel. Job Summary Sapphire Stream Technology (SST) is seeking a Strategic Account Sales Lead to drive growth across strategic semiconductor, AI platform and technology-product accounts in North America. This is a senior individual-contributor role with no direct reports. The successful candidate will expand business with an existing global semiconductor customer while developing new opportunities with semiconductor, AI platform and technology-product companies. SST's delivery models include onsite engineering services and offshore development centres (ODCs). Both models are integral to the company's account-growth strategy. The Strategic Account Sales Lead will establish executive and working-level customer relationships; understand customer organizations, product roadmaps, engineering requirements and purchasing processes; and translate these insights into practical engineering-services opportunities. Relevant service areas include semiconductor software, embedded and platform software, AI/ML engineering, product validation, performance optimization and related product-engineering services. Key Responsibilities Achieve assigned revenue, sales and account-growth targets and report performance to senior management. Develop and maintain strategic account plans covering customer organizations, key stakeholders, product roadmaps, buying centres, opportunities, competitors, risks and action plans. Expand SST's existing strategic semiconductor account by growing onsite engineering and ODC services, developing new buying centres and strengthening customer relationships. Identify, qualify and develop new opportunities involving semiconductor software, embedded and platform software, AI/ML engineering, product validation, performance optimization and related product-engineering services. Develop new accounts across the semiconductor, AI platform and technology-product sectors. Establish and maintain relationships with customer stakeholders across engineering, product management, sourcing, procurement and vendor-management functions. Lead opportunity qualification, proposal development, pricing, commercial negotiations and deal closure in coordination with SST's delivery, technical and management teams. Maintain accurate opportunity-pipeline and revenue-forecast information, including deal value, probability, timelines, risks and next actions. Analyze customer businesses, product strategies, technical priorities and competitive environments to develop relevant and differentiated proposals. Coordinate with delivery and technical teams to validate scope, staffing, pricing, delivery models and timelines before making customer commitments. Support the development of statements of work, commercial proposals, master service agreements and related customer documentation. Maintain appropriate records of customer communications, opportunities, proposals and approvals in SST's designated systems. Protect SST and customer confidential information throughout the sales and contracting process. Follow applicable company requirements relating to pricing approvals, contracting, information security, anti-bribery, competition, export controls and customer procurement. Represent SST professionally at customer meetings, industry events and other business-development activities. Required Qualifications At least five years of strategic account sales or business-development experience in product-engineering services, engineering R&D, outsourced software engineering, technical staffing or related professional services. Demonstrated record of meeting or exceeding sales, revenue or account-growth targets. Relevant sales experience in one or more of the following areas: Semiconductor software Embedded or platform software AI/ML engineering Product validation Performance engineering Related product-engineering services Demonstrated success identifying new opportunities, expanding strategic accounts, negotiating contracts and closing deals. Ability to understand customer product roadmaps and technical requirements and translate them into practical engineering-service proposals. Strong account-planning, business-development, communication, presentation, negotiation, analytical and problem-solving capabilities. Professional English communication skills sufficient to negotiate contracts, deliver presentations, prepare proposals and communicate with executive and technical stakeholders. Ability to work independently and collaborate effectively across organizations, cultures and time zones. Ability and willingness to travel approximately insert percentage , including travel to customer sites and occasional international travel. Bachelor's degree in business, engineering, computer science or a related field, or an equivalent combination of relevant education and experience. Authorization to work in Canada/the United States/applicable jurisdiction without violating applicable immigration or employment requirements. Preferred Qualifications Experience developing or expanding global delivery models that combine client-facing teams with offshore or ODC engineering delivery. Experience working with global engineering or IT services organizations and coordinating with India-based or other international offshore delivery teams. Established professional relationships within major semiconductor, AI platform or technology-product organizations. Working knowledge of AI computing platforms, embedded systems, developer tools, semiconductor ecosystems or related engineering technologies. Experience working with customer engineering, sourcing, procurement and vendor-management organizations. Experience selling services involving both onsite engineering resources and offshore delivery teams. Performance Expectations Performance will be assessed using factors such as: Achievement of assigned revenue and growth targets Strategic-account expansion Development of qualified opportunities and new accounts Pipeline accuracy and forecast reliability Quality and timeliness of account plans Successful contract negotiation and deal closure Customer-relationship development Collaboration with technical and delivery teams Compliance with SST's commercial approval, contracting and information-security requirements Equal Employment Opportunity and Accommodation SST is committed to providing equal employment opportunities and maintaining an inclusive recruitment process. Employment decisions are based on job-related qualifications and legitimate business requirements without discrimination prohibited by applicable law. Reasonable accommodations are available during the recruitment and selection process upon request. Applicants requiring accommodation may contact the HR team.

Job Description Staff Full Stack Engineer AI Healthtech NYC Up to $240k + Equity The Company I'm working with a fast-growing Series B healthcare technology company in New York that is building software to solve some of the most complex problems in US healthcare. Their platform combines large-scale backend systems, data-heavy workflows and AI to help healthcare organisations improve accuracy, reduce waste and automate difficult processes. They're scaling their engineering team and looking for an experienced Staff Full Stack Engineer who can take genuine ownership of major technical challenges across the platform. This isn't an architecture-only position. They want someone who can set technical direction, influence engineering decisions and remain genuinely hands-on. The Role You'll play a key role in building and scaling the applications that sit at the centre of the company's AI-powered healthcare platform. This includes sophisticated React applications, complex operational workflows, backend services and data-intensive systems where performance, accuracy and reliability are critical. You'll have significant autonomy to make architectural decisions, improve engineering standards and influence how the wider team builds software. Key responsibilities: Own the architecture and delivery of complex full-stack systems, from frontend applications through to backend services. Build and scale production React and TypeScript applications, focusing on performance, component architecture, state management and user experience. Design robust APIs, backend services and relational data models supporting complex operational workflows. Make important system design decisions and establish engineering patterns across multiple teams. Work closely with product, design, backend and AI engineers to deliver intuitive applications powered by sophisticated backend systems. Champion modern engineering practices, including AI-assisted development, automated testing, observability and CI/CD. Mentor senior engineers, lead technical discussions and raise engineering standards while continuing to write production code. What They're Looking For 10+ years of software engineering experience , including genuine Staff-level technical ownership. Deep hands-on experience with React, TypeScript and modern JavaScript . Strong frontend architectural judgement, including reusable components, state management and application performance. Solid backend engineering experience with Python, Node.js or TypeScript , including APIs, databases and distributed systems. Experience architecting and delivering complex production applications end-to-end. Strong system design and cloud infrastructure knowledge, ideally AWS, Docker, Kubernetes and CI/CD. Proven experience mentoring engineers, influencing technical decisions and working effectively across teams. A strong product engineering background, ideally within high-growth technology companies or engineering-led startups. Someone who communicates clearly, makes thoughtful technical trade-offs and still enjoys getting into the code. Additional experience that would stand out: Building AI-powered applications, LLM integrations, agentic workflows or conversational interfaces. Healthcare, fintech or other regulated, data-intensive environments. B2B SaaS products involving complex operational workflows. GraphQL, PostgreSQL, Kafka or distributed data processing. Using AI coding tools such as Claude Code to improve engineering productivity. The Opportunity This is an opportunity to join a well-funded, growing engineering organisation at a point where individual engineers can still have a significant influence over the product and technical direction. You'll work on difficult engineering problems, help shape architecture across the stack and have the autonomy to build systems properly. It's particularly well suited to someone who wants the influence and ownership of a Staff Engineer while remaining closely involved in writing and shipping code. Location: New York City - 3 days per week onsite. Salary: Up to $240,000 base + equity. Level: Staff Engineer - Individual Contributor. If you're an experienced Staff Full Stack Engineer in New York who enjoys solving difficult problems, owning major systems and influencing how engineering teams build software, drop me a message. Happy to share more information about the company, the engineering team and the challenges they're tackling. If you're a Staff, Principal, Lead or exceptionally strong Senior Fullstack Engineer looking for serious technical ownership without moving away from coding, drop me a message.

Job Description Senior Software Engineer Fort Meade, MD, US - Senior Level - Full-time Estimated Salary: The estimated salary range for this position is between $187,000 and $243,000 DOE About our client: Our client delivers high quality solutions and services to IC, DoD, Federal, and commercial customers. Their security, software, and systems engineers and architects work at the forefront of national challenges, solving some of the most complex problems in cyber analytics and data science. Our Client's Values Professionalism and a mission centric mindset are core to how they operate, shaping both their work and the way they conduct themselves. They take pride in fostering a culture of learning, growth, and excellence - for their employees, their partners, and the customers they serve. Description We are a cutting-edge technology company that is dedicated to developing innovative software solutions for our clients. We are currently seeking a talented and experienced Software Engineer to join our team. As a Software Engineer, you will be responsible for designing, developing, and implementing complex software capabilities for computer-based systems. Will work closely with other talented engineers to create software solutions that meet the needs of our clients. In this role, you will have the opportunity to work with modern tools and technologies, and you will be encouraged to stay up-to-date with the latest developments in the field. You will be part of a dynamic and collaborative team that is committed to delivering high-quality software solutions to our clients. If you are a self-motivated, creative, and detail-oriented software engineer who is passionate about developing innovative software solutions, we would love to hear from you. Requirements Essential Job Responsibilities Must have a strong working knowledge and experience developing Java based software capabilities. Should have an inquisitive nature, responsiveness, and excellent testing skills. Must also possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines. Keep up-to-date with emerging trends and technologies in software development. Experience with Next-Gen Coding Agents: Proven track record of integrating advanced AI agents, specifically Claude Code or Google's Antigravity / Gemini agentic workflows, into your daily software engineering routine. Agentic Feature & Test Development: Experience using autonomous agents to handle multi-file feature implementations, complex codebase refactoring, and the automated generation of robust unit/integration tests. Context & Workflow Management: Ability to guide AI agents through complex, multi-repository application architectures, managing context efficiently and critically auditing agent-generated code for security, performance, and architectural alignment. Seamlessly transition between hands-on execution and team guidance, treating mentorship and team leadership as inherent components of senior-level impact. Will work in a fast-paced, small business environment with our talented team. Additional duties as assigned. Minimum Qualifications Clearance Requirement: Must obtain and maintain a U.S. Government Security Clearance, but not required on day one; U.S. Citizenship required. 9 years experience in Software Engineering, Modern Java Frameworks and Libraries (e.g. Spring, Guava) Bachelors in related field; 7 years relevant experience with Masters in related field; or High School Diploma or equivalent and 13 years relevant experience. Experience in designing enterprise APIs. Experience in RESTful web services. Experience in Microservices architecture. Experience in Object Oriented Programming (OOP) paradigms. Experience with the agile software lifecycle. Demonstrated experience serving as a tech lead, mentor, or manager for engineering teams. Has a proven ability to learn quickly and works well both independently as well as in a team setting. Experience with the Linux operating system. Experience with configuration management tools (e.g. Git, Nexus, Maven). Must be able to work in a hybrid environment, spending an average of 1-2 days per week on customer site in Fort Meade, MD. Will also be visits to our headquarters in Columbia, MD. Flexibility is essential to adapt to schedule changes as needed. Preferred Requirements Current Clearances: Active Secret clearance is a strong plus. Next-Gen Coding Agents: Proven use of AI tools (Claude Code, Gemini) in daily engineering workflows. Agentic Feature Delivery: Using autonomous agents for multi-file implementation, refactoring, and automated testing. Experience in cloud based technologies (AWS, Azure) Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr) Scripting experience is a huge plus. Prior experience or familiarity with Data Lakes or Warehouses is a huge plus. Understanding of AGILE software development methodologies and use of standard software development tool suites. (e.g., JIRA, Confluence, Github Enterprise, etc.) Compensation Our client is building a team of like minded individuals who aren't afraid to work hard and support one another to achieve exceptional results. Fostering an environment where high calibre employees can shine means offering meaningful benefits and support both in the office and beyond. The benefits include health insurance, life insurance, disability insurance, financial and retirement plans, paid leave, professional development, tuition assistance, and dependent care. Salary varies based on location, education, skills, experience, as well as contract-specific affordability. The estimated salary range for this position is between $187,000 and $243,000. This estimate is one part of our client's overall compensation package.

Job Description About Carpe & the Role Carpe is an AI-native company building platforms and data products that help P&C insurance carriers make better decisions. At Carpe, we don't hand-write code anymore. We build with AI. As a Senior AI Software Engineer, you will turn business needs and prototypes into reliable production systems by directing frontier models and coding agents, shaping the environments they work in, and verifying what they deliver. AI is your primary way of building-not an autocomplete tool added to a traditional coding workflow. You bring extensive hands-on experience with frontier models, agents, and agent harnesses, plus the engineering judgment to take their work all the way through AWS deployment and production operation. You'll have a say in how we build. Our design and architecture patterns give you a solid starting point, not a set of limits. If a new approach or technology will better serve our customers, make the case. We care far more about how you think through tradeoffs than whether you've used every tool we use. Responsibilities Turn business needs into executable work. Partner with Product to define the problem, constraints, acceptance criteria, and customer outcome. Give agents the specifications, repository context, examples, and verification steps they need to deliver the right solution; resolve ambiguity before it becomes working software that solves the wrong problem. Architect systems and direct AI delivery. Break complex work into bounded tasks, choose interfaces and data flows, and direct agents through implementation, integration, and debugging. Use our approved patterns to address scale, latency, reliability, and data correctness across products. You own the architecture and outcome, even when AI produces the code. Build effective agent workflows and harnesses. Scope and steer bots through our team workflow, including Slack and Linear. Configure the context, tools, permissions, execution environments, and feedback loops around agents; manage handoffs, checkpoints, and recovery when they stall or go off course. Run a tight build-and-verify loop: the agent builds, you exercise the result in a live test environment, feed back precise findings, and repeat until the acceptance criteria are met. Choose models and approaches deliberately. Evaluate frontier models and coding agents on real engineering tasks, comparing output quality, reliability, context handling, latency, and cost. Match the model and harness to the work, and adapt as capabilities change. Let customer outcomes, not tool loyalty, guide decisions. Prove the result, not the agent's claim. Review architecture and generated changes at the level the risk demands; personally inspect sensitive changes. Use independent checks, representative data, automated tests, regression checks, and end-to-end behavior to catch plausible-but-wrong output. Where systems use models at runtime, evaluate their behavior and failure modes too. Ship and operate in AWS. Take AI-built software through cloud deployment and production support with QA and DevOps. Direct and verify infrastructure-as-code and CI/CD changes; understand access controls, secrets, networking, data storage, rollout, and rollback. Use logs, metrics, and traces to diagnose failures, verify recovery, and own incident follow-through-including failures introduced by agents. Make the next AI build better. Turn successful approaches and failures into reusable agent instructions, repository guidance, harness improvements, and verification routines. Keep architecture and operational context current so both people and agents can build on it. What we are looking for 7+ years of professional software engineering, delivering and supporting production systems (overall experience, not five years with today's AI tools). Extensive frontier-model experience. Substantial use of frontier models across multiple model families-for example, OpenAI, Anthropic Claude, and Google Gemini-in real software delivery. You can explain which models you choose for planning, implementation, debugging, and review; where they fail; and how you evaluate a new release. You actively experiment and clearly prefer building with AI over a hand-coding-first workflow. Extensive agent and harness experience . You have shipped meaningful work with coding agents and agent harnesses-not just chat prompts or autocomplete. Examples may include Claude Code, Codex, other agentic development environments, or custom harnesses. Extra credit for OpenClaw. You can configure repository instructions, context and tool access, isolated execution, task decomposition, verification, and recovery, and explain when orchestration helps versus adding overhead. End-to-end systems ownership. You have personally designed a complete system through professional or substantial independent work, with relevant professional experience around similar systems. Show how you directed AI from an initial specification through a working, deployed result, what you personally decided, and how you established that it worked. You don't need to have led a large-system initiative. Engineering depth behind the agents. Strong programming, debugging, architecture, and systems reasoning. You can read and interrogate generated code, trace data flows and service interactions, identify flawed assumptions, and steer a correction. We value your ability to make AI-built systems correct and maintainable-not the volume of code you type. AWS and cloud deployment experience. You have deployed and supported production software in AWS and understand the path from repository to running service: infrastructure as code, CI/CD, compute or containers, storage, networking, IAM, secrets, observability, and rollback. Explain a deployment or incident you owned and how you verified the outcome. Roll-up-your-sleeves, low-ego collaboration . Comfortable steering agents, investigating failures, explaining tradeoffs, and influencing without direct authority in a small. Share work and blockers openly, move across products, and help teammates improve their AI workflows while staying accountable for the customer outcome. Why Carpe? Your work shows up fast. At our size, what you build reaches customers quickly, and you quickly make an impact Growth: We have a clear growth framework with defined levels and competencies, so you always know what's expected and what "next" looks like. Collaboration: Work with teams in sales, marketing, engineering, product, and customer success. We Live our Values: Be Bold, Be Creative - Lead with Empathy - Act Like an Owner Flexible working hours and flexible vacation policy 100% Carpe-paid health, dental, and life insurance (Additional benefits at Employee cost) Full-time permanent positions are eligible for the Carpe Data Bonus Plan. 401k with company matching Location We are headquartered in Santa Barbara, CA. We work on a hybrid schedule: Tuesday/Wednesday/Thursday in the office. Salary Range $155,000 - 180,000. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity.

Pay Range: $55.00hr - $60.00hr Job Description: Experience in developing Android apps on the Play Store, Jetpack Compose, Compose UI, and experience with location/map. Experience with Gradle, Android Studio, Java, Kotlin, Retrofit, and Room. Knowledge of MVI and MVVM, OOP, OOD, DDD, through SOLID principles and development best practices. Strong analytical and debugging skills. Consumer mobile application development experience. A background in building mobile applications that utilize web services (either REST-based, JSON, Thrift, or other services). Good knowledge of Material Design and experience and thorough understanding of Agile Software Development. Proficiency in the use of JIRA/Confluence in product development. Experience in source control tools like Git. Good knowledge of the continuous deployment and integration process. Experience with Platform APIs to control OS/Device, custom launchers. Experience with Android Management API, Device Policy Manager, Profile management, etc. Expert knowledge of Kotlin, modern Jetpack libraries, system-level Android permissions, and custom AOSP (Android Open Source Project) builds or privileged system app development. Job Responsibilities: Develop applications for the Android platform. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Help maintain code quality. Develop solutions to address complex problems. Ability to share technical solutions and product ideas with the broader team through design review, code review, and show and tell. Participate in brainstorming sessions and contribute ideas to technology, algorithms, and products. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Pay Range: $75.00hr - $80.00hr Job Overview: The candidate will serve as a senior-level PowerBuilder developer to support, maintain, and modernize legacy systems and develop key application interfaces, working collaboratively within an Agile team environment. Project Overview: Backfill support to maintain legacy systems for the modernization project. Scope of Work: Serve as the technical architect responsible for designing and overseeing the development and implementation of interfaces between core enterprise systems, as well as annual legislative changes throughout the modernization period to support all project rollouts. This role works collaboratively within a team environment. The candidate will provide analysis, support, and maintenance for the legacy system, as well as development and implementation of system interfaces under the direction of management. Required Skills: Technical knowledge in designing, developing, and maintaining IRMS - CACSG Collections System. Product knowledge of IRMS CACSG system. Experience developing PowerBuilder applications using PowerBuilder 12.5 or higher. Hands-on experience using Relational Databases, such as Oracle 19C or higher, MySQL, or similar. Experience developing interfaces to FileNet applications. Experience developing interfaces to REST APIs. Ability to design and develop clear and maintainable code. Experience using software project tracking tools such as Azure DevOps. Strong written and verbal communication skills. Self-motivated with the ability to work effectively in a team. Ability to interact with a multi-disciplined team to clarify, analyze, and assess requirements. Ability to work independently and collaboratively on a multi-disciplined project team in an Agile development environment. Ability to contribute to detailed design and architectural discussions as well as customer requirements sessions to support the implementation of PowerBuilder applications. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Description Job Overview: You'll be engineer . We're a small team, so you'll have a real say in what we build and how we build it. Your work will ship to the people who use our platform every day, and you'll help shape our engineering practices as we grow. There's also room to grow from a senior role into a staff-level role as the team expands. You'll help shape our frontend. Our platform has a Rails API and two React applications: a customer-facing storefront and an admin app. React already makes up most of our codebase, and we expect that to keep growing. We're looking for someone who knows modern React well and can help guide the architecture and evolution of both applications. AI agents are part of how we build. We provide a generous monthly budget so you can use the AI tools that work best for you. We're less concerned with which tools you choose and more interested in how you use agents to plan, build, test and debug as part of your everyday workflow. Quality still matters. We ship often and take pride in doing things well. AI helps us move faster, but we're still responsible for understanding, testing and standing behind what we ship. - What You'll Do: Frontend Architecture & Development Own the architecture of our two React apps, including component structure, state management, data fetching, routing and performance. Build and maintain a shared design system that keeps our interfaces consistent and makes them easier to develop. Bring modern React practices to both codebases and help them evolve with the ecosystem. Improve older workflows and interfaces our internal teams use every day. Build and ship features for the storefront and admin, from scoping through deployment and monitoring. Write and maintain tests, including end-to-end tests with Playwright, to keep the frontend reliable. Full-Stack Product Engineering Work across the stack when needed, including our Rails API, Postgres database and AWS infrastructure managed with Terraform. We're a small team, so everyone pitches in where the work needs to be done. Help make system design decisions across the platform, beyond the frontend. Work on different parts of the platform, including storefronts, punchouts, program stores, fulfillment and reporting. AI-Assisted Development Use AI agents throughout your workflow, from planning and implementation to testing, code review and debugging. Break work into manageable pieces that agents can help with and you can verify. Review AI-generated code as carefully as any other code and take responsibility for what ships. Know when an agent can help you move faster and when it makes more sense to work through a problem by hand. Share what's working and help the team improve how we build. Collaboration Spend time with teams across the company, including fulfillment and account teams, to understand their workflows and where they need help. Work directly with department leads and customers to turn their feedback into product improvements. Work with leadership on priorities and product direction. Explain technical decisions and tradeoffs in a way non-technical teammates can understand. - What You Bring 5+ years of professional software development experience, with a strong frontend focus and experience working across the stack. Deep experience with modern React , including hooks, component architecture, state management, data fetching and performance. Strong TypeScript skills. Experience making frontend architecture decisions in production and explaining the tradeoffs behind them. Experience building or maintaining a design system, ideally with Tailwind. Strong system design skills and a willingness to work on backend code when needed. Experience building frontends that work with REST or GraphQL APIs. A habit of writing automated tests, including end-to-end tests. Playwright is a plus. Experience using AI agents in your daily development work. You can walk us through your workflow, the tools you use and how you verify what they produce. Strong communication skills and an interest in working with people outside engineering. A self-directed approach and comfort working through ambiguity in a startup environment. Nice-to-Haves Experience with Next.js , especially App Router and server components. This is strongly preferred. Experience with Ruby on Rails. Experience with Postgres, AWS or Terraform. Experience coordinating multiple agents or sub-agents in your development workflow. Experience with LLM integrations, prompt engineering, RAG or Model Context Protocol (MCP). Experience in e-commerce or B2B commerce, including punchout integrations (cXML/OCI). Familiarity with the promotional products industry. Experience at an early-stage startup. What Sets You Apart You have ideas about frontend architecture, but you're open to changing your mind. You think about the systems and workflows around the code, not just the code itself. You're always finding ways to improve how you work with AI agents. You know when to move quickly and when a problem needs more care. You'd rather talk to the people using the software than guess what they need. You enjoy helping the people around you do their best work.

Pay Range: $60.65hr - $65.65hr Job Overview: The principal duties of this position are to serve as a systems analyst for the MMIS team under general supervision by the Bureau Chief of Business Systems Management. The systems analyst is responsible for supporting MMIS operational activities including reporting and analytics, systems support, and testing. Objectives to be Fulfilled by Candidate: Serve as a systems analyst for the MMIS team under general supervision by the Bureau Chief of Business Systems Management, taking responsibility for activities supporting MMIS operational activities including reporting, analytics, systems support, and testing. Serve as a liaison between the business programs and the IT organization to provide technical solutions to meet user needs. Develop, retrieve, and distribute reports and datasets to multiple internal and external stakeholders for purposes of monitoring, reconciliation, and operational processing. Perform operational support activities for the legacy MMIS and subsystems, receive and respond to requests and inquiries from business stakeholders, monitor vendor requests, coordinate between business and technical staff, identify trending issues to escalate to program management as needed, translate business requests into system requirements, and serve as a subject matter expert associated with content, processes, and procedures. Perform complex analysis, design, and testing to meet the needs of the users of MMIS and its subsystems. Review and verify QA and UA results as assigned, and document issues and defects for triage and resolution. Proactively identify risks, issues, and action items leading to possible solutions. Interact with internal and external organizations including vendors, state and federal government agencies, state providers, and other stakeholders. Work collaboratively with the MMIS vendor teams to support SDLC processes as well as client-specific code library changes to COBOL and JCL programs. Follow standard SDLC processes and contribute to ongoing process improvement. Demonstrate strong verbal and written communication skills. Required Skills: 5+ years of Medicaid or healthcare experience, including experience working with Medicaid claims and provider operations concepts. Proficiency in COBOL programming language. 5+ years of experience operating healthcare Mainframe systems for payers as a technical analyst or performing related duties. 3+ years of experience with EDI transactions, including managing companion guides. Experience working with a Medicaid eligibility or enrollment information system in an operations capacity. Understanding of MMIS mainframe capabilities and intricacies. Experience with MVS COBOL, JCL, IDMS/NETWORK, CA-ADS, CHANGEMAN, and SAS. Preferred Skills: Subject Matter Expertise as it relates to MMIS Operations. Proficiency in data analysis tools and techniques, such as SAS, Excel, data visualization tools, and statistical analysis software. Experience providing status reports and other technical or operational reports in a clear and concise manner. Required Education: Bachelor's degree in a technical, business, or healthcare field. 7+ years of equivalent experience in systems analysis or computer systems development/modification may be substituted. Additional Skills/Duties: Self-motivated and able to learn on the job with little guidance. Ability to review job schedules and logs to troubleshoot issues. Experience working in a cross-functional team environment. Superb written and oral communication skills, including the ability to relay complex technical instructions and requests. Ability to communicate effectively with team members, technical teams, key stakeholders, and vendors. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Pay Range: $60.00hr - $65.00hr Job Overview: As an Engineer, the candidate is responsible for building, designing, and deploying modern web applications. The candidate will leverage technical skills to architect scalable and robust solutions, tackle dependencies, and shape the team's technical strategy. Our client is looking for a Senior AI Engineer with Java Full Stack Experience to join a learner-centered team committed to delivering a next-generation transformative AI-powered learning infrastructure. In this role, the candidate will influence the future of learning experiences by developing integrated and scalable solutions from the ground up within a supportive and collaborative environment. Responsibilities: Collaborate closely with subject matter experts to understand challenges and translate them into effective solution designs, partnering with Product, UX, and other engineering teams. Drive AI efforts including Gemini integrations, ML model fine-tuning, evaluation, and performance optimization to create user-facing solutions that are both scalable and high-performant. Drive cross-functional collaboration to prototype web solutions, gather feedback, and iteratively refine requirements. Develop, test, and monitor robust, scalable, and reliable web solutions that meet business needs. Leverage cloud solutions and tools to create seamlessly integrated, reusable, and extensible systems. Write and review technical documents (product, technical design, developer documentation) and code in Angular, TypeScript, Java, Kotlin, Python, or SQL. Build the organization's agentic future by implementing Gemini integrations, assisting with ML model fine-tuning, and executing AI performance evaluations to help develop intelligent, user-facing learning solutions. Design, build, and deploy full-stack web solutions that are reliable, scalable, and high-performant, using advanced technologies to build AI-powered learning flows. Minimum qualifications: Bachelor's degree or equivalent practical experience. 10+ years of experience with Software Development in Java Fullstack (Java, Angular). 2+ years of experience in AI Technologies. Generative AI & LLMs: Demonstrated track record of deploying Gemini models in production using Vertex AI and the Agent Development Kit (ADK). RAG Architecture: Proven expertise in designing RAG systems. Backend & Cloud Infrastructure: Strong proficiency in Python (FastAPI), Cloud Run, and large-scale data retrieval strategies. Data Structures & Storage: Experience with relational database architecture and enterprise data schema management. Experience working with one or more of the following: web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing software systems, or security. Strong verbal and written communication skills with stakeholder management capabilities. Preferred qualifications: Demonstrated experience with service architecture, domain-driven design, and the development of scalable, distributed services. Demonstrated experience in the end-to-end design, scaling, and performance tuning of AI-integrated web applications within dynamic environments. Demonstrated experience running Kanban boards and sprints while forecasting effort for complex engineering projects. Demonstrated experience with ADK, MCP, and integrating Gemini AI APIs into production web applications. Demonstrated experience with ML model fine-tuning, evaluation, and performance optimization for user-facing systems. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

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

Job Description Senior Data Engineer - AWS Charlotte, NC - Onsite 6 Months+ Required Skills & Qualifications • Data engineering, backend development, or software engineering, with demonstrated hands-on development experience. • Strong hands-on experience with AWS data and cloud services, including services such as S3, Glue, EMR, Lambda, and Redshift. • Proven experience developing and maintaining production-grade APIs and backend services using Java, with a strong understanding of RESTful API design, integration patterns, and error handling. • Strong programming skills in Python, with hands-on experience building reusable modules, backend components, or API integrations. • Hands-on experience with PySpark and distributed data processing, including developing scalable data transformations and optimising data pipelines. • Proficiency in SQL, including complex queries, data transformations, and query performance optimisation. • Strong understanding of object-oriented programming, software design principles, data structures, and maintainable application architecture. • Practical exposure to MCP, LLMs, generative AI, or AI application integration, with an understanding of how AI capabilities can be integrated into APIs and enterprise workflows. • Experience with API testing, debugging, authentication and authorisation, and application integration. • Familiarity with Git, CI/CD pipelines, automated testing, and Agile development practices. • Strong problem-solving, communication, and collaboration skills, with the ability to work independently on complex technical requirements. Preferred Qualifications (Nice to Have) • Experience building AI-enabled applications, LLM-powered workflows, or MCP-based integrations. • Exposure to LLM orchestration frameworks, tool calling, retrieval-augmented generation (RAG), or enterprise AI integration patterns. • Experience with AWS-native AI services and deployment of AI-enabled applications in cloud environments. • Familiarity with API gateways, containerisation, microservices architecture, and application observability. • Experience with data warehousing, distributed computing, Spark performance tuning, and data quality frameworks. Job Responsibilities Key Responsibilities • Design, develop, and optimise scalable data pipelines and data processing workflows using Python, PySpark, and SQL. • Develop, enhance, and maintain production-grade APIs and backend services using Java and Python, with a strong focus on API design, integration, performance, and reliability. • Build and integrate RESTful APIs and microservices to support data-driven applications and enterprise integrations. • Leverage AWS services such as S3, Glue, EMR, Lambda, Redshift, and other relevant cloud-native services to build and manage scalable data engineering solutions. • Work with Model Context Protocol (MCP), Large Language Models (LLMs), and generative AI technologies to develop or integrate AI-enabled applications and workflows. • Implement reusable, maintainable, and scalable code using object-oriented programming principles, design patterns, and established engineering best practices. • Write and optimise complex SQL queries and implement efficient ETL/ELT processes for large-scale data transformations. • Collaborate with data engineers, application developers, architects, data scientists, and business stakeholders to translate requirements into robust technical solutions. • Troubleshoot and resolve issues across APIs, data pipelines, integrations, and cloud-based applications. • Participate in code reviews, automated testing, CI/CD implementation, performance tuning, and production support while adhering to engineering standards.

Pay Range: $57.00hr - $62.00hr Job Overview: We are seeking a highly experienced and technically proficient Senior Backend Developer specializing in Java Spring Boot and Microservices Architecture. The ideal candidate will have a strong background in the retail domain, proven leadership capabilities, and a passion for implementing best development practices across onsite-offshore teams. The candidate will participate in all aspects of the SDLC lifecycle including solution design, implementation, and deployment from offshore. This hands-on technical role requires strong object-oriented and system design skills, Web application architecture, Web services, and XML/JSON transformation. The candidate must have excellent communication skills to successfully interact with stakeholders, other software developers, application and data architects, business analysts, and other related teams. Responsibilities: Lead backend development efforts using Java Spring Boot and Microservices. Architect scalable, secure, and high-performance backend systems. Collaborate with cross-functional teams across onsite and offshore locations. Mentor junior developers and enforce coding standards and best practices. Drive continuous integration and deployment (CI/CD) pipelines. Ensure code quality through automated testing and code reviews. Optimize application performance and troubleshoot production issues. Work closely with product owners and business analysts to translate requirements into technical solutions. Required Skills & Qualifications: 10+ years of hands-on experience in backend development using Java and Spring Boot. Strong expertise in Microservices architecture, RESTful APIs, and service orchestration. Experience with retail systems such as POS, inventory, order management, or customer engagement platforms. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes. Experience with cloud platforms (AWS, Azure, or GCP), with GCP preferred. Strong understanding of DevOps practices and CI/CD pipelines (Jenkins, GitHub Actions). Knowledge of monitoring tools (Prometheus, Grafana, ELK stack). Excellent communication and leadership skills. Experience working in Agile/Scrum environments. Preferred Tools & Technologies: Development: IntelliJ IDEA, Eclipse, VS Code. Version Control: Git, Bitbucket. Build Tools: Maven, Gradle. CI/CD: Jenkins, GitHub Actions, GitLab CI. Testing: JUnit, Mockito, Postman, REST Assured. Monitoring: ELK Stack, Prometheus, Grafana. Cloud & Containerization: AWS, Azure, Docker, Kubernetes. Collaboration: Jira, Confluence, Slack, Microsoft Teams. Nice to Have: Experience with event-driven architecture (Kafka, RabbitMQ). Exposure to retail analytics and data pipelines. Certifications in Java, Spring, or cloud technologies. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Pay Range: $77.00hr - $82.00hr Job Overview: The Project Manager independently leads delivery for software product initiatives in an AI-enabled SDLC. This role combines strong execution ownership with growing breadth across product thinking, engineering operations, Agile coaching, stakeholder management, data-driven reporting, and AI-assisted workflow adoption. The role owns project-level planning, risk management, backlog quality, delivery metrics, scope control, and stakeholder coordination, while contributing meaningfully to capacity planning, product Client support, release coordination, and continuous improvement. This is an experienced PM role with full project ownership and growing influence across teams. Responsibilities: Build and manage project plans independently, including dependencies, buffers, sequencing, and critical path considerations. Lead day-to-day delivery execution across one or more Agile teams, ensuring work progresses predictably and transparently. Partner with Development Managers and team leads to adapt plans as scope, delivery context, or business priorities evolve. Support implementation roadmaps and maintain delivery accuracy across Jira and related tooling. Proactively identify, assess, score, and mitigate delivery risks; facilitate project-level risk reviews and determine when escalation is needed. Own project-level scope and change management by maintaining change logs, communicating impacts, and facilitating scope trade-off decisions. Plan resource allocation at the project level, forecast capacity gaps, and coordinate shared resources across teams. Coordinate releases, dependencies, and change impacts across one or more workstreams. Maintain a well-prioritized, estimable backlog and facilitate effective refinement sessions to keep work sprint-ready. Lead requirements workshops and translate business needs into clear, testable user stories and delivery-ready specifications. Build project dashboards and reporting views tailored to stakeholder needs, surfacing insights rather than only status. Use metrics such as velocity, throughput, risk trends, and delivery health indicators to guide execution decisions. Manage a diverse stakeholder group independently and tailor communication to technical, product, and business audiences. Navigate conflicting priorities and facilitate alignment across teams and functions. Provide clear, timely updates on progress, risks, delivery health, and decisions. Facilitate cross-team discussions and drive action-oriented follow-through. Apply Agile practices consistently and adapt ceremonies to team context and maturity. Facilitate retrospectives, planning workshops, Client sessions, and other working forums that improve clarity and execution. Organize learning sessions, office hours, and improvement activities that strengthen delivery discipline and collaboration. Coach teams on iterative delivery, continuous improvement, and effective team practices. Use approved AI tools for risk summaries, retrospective outputs, stakeholder communication, and first-pass delivery planning. Critically assess AI-generated outputs and identify when results are incomplete, unreliable, or require refinement. Proactively adopt AI tools to improve personal and team productivity and share effective use cases with the team. Contribute to roadmap and Client conversations by surfacing delivery insights, customer context, and business trade-offs. Participate in design reviews and Client activities, advocating for user needs and product quality in delivery decisions. Qualifications: Bachelor's degree or equivalent practical experience. 5 7 years of experience in project management, Agile delivery, product delivery, or related software development roles. Proven ability to independently manage project plans, RAID processes, backlog health, and delivery reporting. Experience working directly with engineering, product, and cross-functional stakeholders in software product environments. Strong facilitation, communication, and prioritization skills. Hands-on experience with Jira and related delivery/reporting tools. Preferred Qualifications: Experience with release coordination, capacity planning, and backlog ownership. Familiarity with engineering metrics, delivery dashboards, and basic product metrics. Experience with AI-assisted project delivery workflows in an approved enterprise environment. Agile, Scrum, SAFe, or product-related certification is a plus. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Description About the Role: Blooio is a fast-growing SaaS company building the next generation of business messaging infrastructure. Our platform enables businesses to communicate with customers through Apple Messages for Business and other modern messaging channels using powerful APIs, integrations, and automation tools. We're looking for an exceptional Senior Software Engineer to work directly with our founding team to build and scale Blooio's core platform. This is a highly technical, hands-on engineering position with significant ownership. You'll work across backend infrastructure, APIs, databases, customer-facing applications, and internal systems. We're looking for someone who can independently solve complex technical problems, write clean and scalable code, and turn ideas into reliable, production-ready software. You'll have a direct impact on our architecture, product development, and engineering decisions. Why join Blooio: build technology that directly powers our core product and customer experiences; take responsibility for meaningful features and infrastructure, not isolated tickets; work closely with the founding team and influence technical architecture and product direction; solve complex problems in real-time communication, scalability, integrations, and automation; and help shape the engineering foundation of a rapidly evolving company. To apply, submit your resume, GitHub profile if you have one, and examples of relevant projects or production systems you've built. We're particularly interested in engineers who have designed and shipped complex backend systems, built scalable APIs, and taken significant ownership of production software. Responsibilities: Design, build, and maintain scalable backend services, APIs, and core messaging infrastructure. Develop features across the customer dashboard, internal tools, and web applications. Build REST APIs, webhooks, third-party integrations, and automated workflows. Improve system reliability, performance, security, and scalability as messaging volume grows. Help design robust, maintainable systems capable of handling real-time messaging and high-throughput workloads. Work directly with the founders to turn product requirements into fully functional features. Write maintainable, well-tested code, conduct code reviews, troubleshoot production issues, and continuously improve engineering practices. Independently lead projects from initial design through development, deployment, and ongoing maintenance. Qualifications: 5+ years of professional software engineering experience, ideally building SaaS platforms or developer-focused products. Strong backend engineering experience with modern languages such as JavaScript, TypeScript/Node.js, Python, Postgres, and more.Experience with modern frontend frameworks such as Next.js and React. Strong understanding of REST APIs, webhooks, asynchronous processing, and distributed systems. Experience working with relational databases, caching systems, and message queues. Familiarity with cloud infrastructure, CI/CD pipelines, Docker, and production deployments. Experience designing, building, and maintaining production-grade systems. Strong debugging skills, engineering judgment, and attention to performance and security. Ability to independently own projects and deliver high-quality work in a fast-moving startup environment. Comfortable collaborating directly with founders and taking responsibility for technical outcomes. Nice to Have: Experience with real-time high-volume event processing, AI integrations, or database architecture. Intelligent use of AI for developing. About Blooio: Blooio is a business messaging platform for sending and receiving Apple Messages for Business, iMessage, RCS, and SMS from CRMs, automations, APIs, and AI agents. We're a small team building the most powerful messaging platform for businesses. Compensation: $160K-$180K/yr Healthcare 401(k) Equity

Pay Range: $47.00hr - $52.00hr Job Overview: The Automation Analyst is responsible for supporting the end-to-end lifecycle of enterprise automation initiatives as a subject matter expert for the automation solution, from initial project intake and business process Client through requirements definition, development coordination, testing, implementation, and operational handoff. The Automation Analyst is responsible for understanding business processes and objectives, translating stakeholder needs into clear and actionable requirements, identifying process and data dependencies, and ensuring development teams have the information necessary to design and deliver effective automation solutions. The role also serves as the primary liaison between business stakeholders, automation development teams, technical teams, project leadership, and support organizations by becoming a subject matter expert of the automation's capabilities and value to the business. The Automation Analyst will manage multiple automation initiatives concurrently and is expected to proactively drive requirements, stakeholder decisions, documentation, testing readiness, and delivery dependencies rather than functioning solely as a documentation resource. The successful candidate will demonstrate strong business analysis, process improvement, stakeholder management, facilitation, data analysis, testing, and delivery coordination capabilities. Automation Intake & Opportunity Assessment: Coordinate intake of new automation opportunities with business and technology stakeholders. Facilitate Client sessions to understand the business problem, current process, expected outcomes, scope, stakeholders, and dependencies. Evaluate business processes to determine automation readiness and identify process gaps requiring clarification or redesign. Document current-state and future-state processes, including but not limited to workflow diagrams, data flow diagrams, and step-by-step procedure documentation. Identify process volumes, transaction characteristics, exception scenarios, manual effort, error rates, and other information required to support automation evaluation. Assist with quantifying expected automation benefits, including efficiency, capacity, quality, accuracy, risk reduction, and other measurable business outcomes. Identify systems, applications, data sources, interfaces, access requirements, and technology dependencies during intake. Identify assumptions, constraints, risks, and unresolved questions early in the lifecycle. Support estimation activities by ensuring technical teams receive complete business and process information. Requirements Gathering & Process Documentation: Lead requirements elicitation sessions with business stakeholders, subject matter experts, developers, architects, and other technical teams. Elicit, analyze, document, and validate business, user, functional, and non-functional requirements. Develop detailed Process Definition Documents (PDDs) and other required business/process documentation. Document current-state and future-state workflows, business rules, decision points, process exceptions, data inputs and outputs, system interactions, user roles, volumes and frequency, dependencies, error and exception handling, and acceptance criteria. Develop process maps, workflow diagrams, use cases, user stories, and supporting documentation as appropriate. Establish and enforce traceability between business requirements, solution functionality, testing, and acceptance criteria. Obtain and document stakeholder validation and approval of requirements before development proceeds. Maintain requirements and process documentation as scope or business processes change. Stakeholder Management & Facilitation: Serve as a primary point of coordination between business stakeholders and automation delivery teams. Establish productive working relationships with business, operational, technical, and project stakeholders. Facilitate requirements workshops, process walkthroughs, solution reviews, testing discussions, and stakeholder decision sessions. Proactively follow up on open requirements, decisions, dependencies, and action items via messaging and meetings. Communicate project status, requirements gaps, risks, dependencies, and decisions clearly to stakeholders. Manage stakeholder expectations regarding scope, requirements, timelines, and delivery dependencies. Identify conflicting stakeholder requirements and facilitate resolution. Escalate unresolved decisions or dependencies that could affect delivery commitments. Ensure appropriate stakeholders remain engaged throughout the automation lifecycle. Development Team Coordination: Serve as the functional bridge between business stakeholders and automation developers. Conduct requirements and process walkthroughs with development teams. Lead backlog refinement sessions with developers to ensure they have sufficient business context and detailed requirements before development begins. Respond to functional questions and coordinate business clarification during development. Work with developers and solution architects to identify requirement gaps, technical constraints, and solution dependencies. Coordinate stakeholder decisions when technical findings require changes to requirements or process design. Participate in sprint planning, solution design sessions, and other delivery activities as required. Identify and communicate scope changes that could affect estimates, timelines, resources, or solution design using a standardized change management template. QA Testing & Business Validation: Review QA test scenarios to ensure alignment to approved requirements and acceptance criteria, including but not limited to business rules, exceptions, negative scenarios, and critical edge cases. Review QA execution results, including defects for accuracy against the requirements. Support development and QA teams with functional validation during system and integration testing. Coordinate User Acceptance Testing (UAT) with business stakeholders. Ensure appropriate test data, environments, access, and stakeholder participation are available for testing. Track defects, questions from QA testers, and required requirements corrections through resolution. Coordinate business approval/sign-off prior to production implementation. Document and publish evidence of testing and business acceptance to technical and business stakeholders. Implementation & Operational Handoff: Support implementation planning and production-readiness activities. Ensure requirements, testing, stakeholder approvals, and documentation are complete before implementation. Develop or coordinate operational documentation required for production support. Facilitate knowledge-transfer sessions with operational/support teams. Ensure operations support teams understand automation purpose and business process, expected processing, business and system dependencies, common exceptions, escalation paths, business contacts, and known limitations. Support post-production validation and stabilization activities. Ensure open issues are documented and transitioned appropriately before project closure. Facilitate formal handoff from project delivery to the appropriate operational support organization. Data Analysis & Reporting: Analyze operational and process data to support automation opportunity assessment and requirements development. Define detailed data dictionary, data mapping, data relationship diagram or similar artifacts to support requirement elicitation and approval. Establish baseline measures before automation implementation where appropriate. Analyze process volumes, cycle times, exception rates, error rates, and other relevant metrics. Use data to identify process variations and automation opportunities. Discover and recommend measurable success criteria and KPIs for automation initiatives as appropriate. Compare post-implementation results against expected business outcomes when requested. Elicit reporting dashboard requirements that communicates KPIs to business and technology stakeholders. Required Qualifications: 5+ years of experience in business analysis, systems analysis, automation analysis, process analysis, technology delivery, or a related role. Demonstrated experience leading requirements gathering for complex technology or automation initiatives. Strong experience documenting business, functional, and non-functional requirements. Experience developing process maps, workflow documentation, business rules, user stories, use cases, and acceptance criteria. Experience coordinating requirements between business stakeholders and software development or automation engineering teams. Experience with software development lifecycle (SDLC) and Agile delivery methodologies. Experience developing and executing functional/UAT testing processes. Experience coordinating production implementation and operational handoff. Strong analytical and problem-solving capabilities. Demonstrated ability to manage multiple projects, stakeholders, priorities, and deadlines concurrently. Excellent communication and presentation skills. Ability to work independently and proactively drive activities to completion. Preferred Qualifications: Experience supporting enterprise automation, workflow automation, RPA, AI-enabled automation, or process transformation initiatives. Experience working within healthcare or another highly regulated environment. Experience supporting clinical, operational, financial, or enterprise healthcare processes. Experience with process improvement or Lean/Six Sigma methodologies. Experience using Agile delivery and work-management tools such as Azure DevOps, Jira, or equivalent. Experience with data analysis and reporting tools. SQL, Power BI and GCP BigQuery preferred. Understanding of enterprise systems, APIs, integrations, databases . click apply for full job details

Pay Range: $55.00hr - $60.00hr Job Overview: The Technical Architect is responsible for overseeing the technical architecture, design, and development of Spring Boot, DevOps solutions, and full-stack Java solutions. This role involves leading a team of developers to ensure the successful implementation of architecture best practices and delivering high-quality technical solutions. Responsibilities: Develop and maintain technical architecture blueprints for Spring Boot, DevOps solutions, and full-stack Java projects. Provide technical guidance and mentorship to development teams to ensure adherence to best practices. Collaborate with stakeholders to gather requirements and design technical solutions that meet business needs. Evaluate and recommend tools, technologies, and frameworks to enhance development processes. Lead the implementation of DevOps practices to improve efficiency and quality in the software development lifecycle. Requirements: Proficiency in the Spring Boot framework for developing robust and scalable applications. Expertise in DevOps solutions, including CI/CD pipelines, automated testing, and Infrastructure as Code. Strong full-stack development skills in Java, JavaScript, HTML, and CSS. Knowledge of cloud platforms such as AWS, Azure, or GCP for deploying and managing applications. Excellent problem-solving abilities and communication skills to effectively interact with cross-functional teams. Ability to prioritize tasks, meet deadlines, and adapt to changing project requirements. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.