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Job Description We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications. Responsibilities • Study and transform data science prototypes, • Design machine learning systems, • Research and implement appropriate ML algorithms and tools, • Develop machine learning applications according to requirements, • Select appropriate datasets and data representation methods, • Run machine learning tests and experiments, • Perform statistical analysis and fine-tuning using test results, • Train and retrain systems when necessary, • Extend existing ML libraries and frameworks, • Keep abreast of developments in the field Requirements • Proven experience as a Machine Learning Engineer or similar role, • Understanding of data structures, data modelling and software architecture, • Deep knowledge of math, probability, statistics and algorithms, • Ability to write robust code in Python, Java and R, • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn), • Excellent communication skills, • Ability to work in a team, • Outstanding analytical and problem-solving skills, • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus

Job Description About the Role We are seeking a highly experienced Senior QA Engineer to lead our quality assurance initiatives and help orchestrate quality code coverage. This is a senior leadership role that combines deep technical testing expertise with team management responsibilities, ensuring comprehensive quality coverage and robust testing practices across our entire application ecosystem. The ideal candidate brings extensive QA engineering experience with a strong background in test automation, code coverage analysis, and behavior-driven development (BDD). You will be responsible for establishing testing standards across all environments, mentoring QA team members, and working closely with development teams to integrate quality practices throughout the software development lifecycle. Key Responsibilities QA Leadership: Lead and mentor a growing QA team, establishing testing standards and best practices across all product development initiatives. Writing Code: You are well adversed in writing code mainly with Python and Typescript. Utilizing testing libraries in FastAPI, Nestjs. Test Strategy & Design: Develop comprehensive testing strategies that ensure maximum code coverage, including unit, integration, end-to-end, and performance testing frameworks. BDD Implementation: Design and lead behavior-driven development practices, creating clear acceptance criteria and automated test scenarios that align with business requirements. Code Coverage Excellence: Implement and maintain robust code coverage metrics, ensuring critical application paths are thoroughly tested and monitored. Cross-Team Collaboration: Partner closely with software engineering, product, and DevOps teams to integrate quality assurance seamlessly into CI/CD pipelines. Test Automation: Build and maintain scalable test automation frameworks, reducing manual testing overhead while improving release velocity and confidence. Quality Metrics & Reporting: Establish key quality metrics, defect tracking processes, and regular reporting to stakeholders on testing coverage and application health. Requirements Must be located in USA. 7+ years of professional QA engineering experience with at least 2 years in a leadership or senior individual contributor role. Proven experience leading QA teams and establishing testing processes in fast-paced development environments. Strong technical background in test automation frameworks, code coverage tools, and modern testing methodologies. Extensive BDD experience with tools like Cucumber, SpecFlow, or similar frameworks for behavior-driven testing. Programming proficiency in at least one major language (Python, JavaScript, Java, or C#) for test automation development. Deep understanding of software testing principles, including unit testing, integration testing, API testing, and performance testing. Experience with CI/CD integration and automated testing within deployment pipelines. Excellent communication skills with ability to collaborate effectively across technical and non-technical stakeholders. Nice to Have Experience with cloud-based testing environments and containerized test execution. Background in performance testing and load testing methodologies. Familiarity with accessibility testing and security testing practices. Previous experience in agile/scrum development environments. Knowledge of modern web technologies and mobile application testing. Certification in testing methodologies (ISTQB, Agile Testing, etc.). Company DescriptionWe are a dynamic, innovative company operating at the forefront of digital media and technology. Our work spans multiple platforms and engages with high-profile clients across various industries.We are a dynamic, innovative company operating at the forefront of digital media and technology. Our work spans multiple platforms and engages with high-profile clients across various industries.

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022) You will work closely with cross-functional teams to ensure the delivery of high-quality, well-governed datasets and data products that empower data-driven decision-making across the business and product landscape, ultimately driving Maven's growth and customer success. You will also collaborate with product and leadership teams to help shape the strategic roadmap for Maven's data functions. As a Senior Data Engineer at Maven, you will: • Lead the design, development, and maintenance of high-performance, cost-efficient data pipelines - both batch and streaming., • Build and maintain robust data ingestion and export workflows that ensure end-to-end data quality, observability, and reliability in production environments., • Collaborate with data platform and backend engineering teams to evolve a scalable, secure, and fault-tolerant data architecture., • Drive technical design reviews and provide mentorship on engineering best practices, data architecture principles, and high coding standards., • Partner with product and service engineering teams to shape and model source datasets, ensuring alignment with a unified data vision across systems., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience., • 6+ years of experience in data engineering or backend systems development, with a track record of building scalable, performant, and reliable data solutions., • Highly proficient in SQL or similar languages for data transformation / ETL and analysis., • Deep experience in data modeling for large-scale distributed data warehouses (e.g., BigQuery, Redshift, Snowflake), with a strong understanding of design trade-offs and best practices., • Demonstrated ability to collaborate effectively with cross-functional partners, particularly product, analytics, and operations teams., • Working proficiency in one of the programming languages (Java, Python, Go, etc.), and hand-on experience with one of the workflow orchestration tools (eg. Apache Airflow), • Product-oriented mindset with a strong focus on scalable, maintainable engineering solutions that meet real business needs., • Experience leading design reviews and setting engineering standards and architecture direction. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job DescriptionCompany Description Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. Curinos operates in a hybrid/remote model, and this position is hybrid in the Greater New York, Boston or Chicago metropolitan areas. Job Description We are seeking and experienced Staff Engineer – Data Platform and Lakehouse to lead the design and implementation of our cloud-native Data Platform that support AI, advanced analytics, and machine learning applications in our ecosystem of B2B SaaS applications in the FinTech vertical You’ll work with a diverse team of talented engineers, AI and ML scientists, and product managers to build our next generation data and AI platforms, support migration of products from legacy infrastructure, and help product engineering teams leverage the Data platform and Lakehouse to launch new products and build new genAI applications. As a company that specializes in data-driven insights, the reliability, scalability, and effectiveness of our data & AI platforms are integral to our product offerings. This role requires deep technical expertise, strategic thinking, and strong collaboration across engineering, data science, and product teams. Responsibilities: • Design and implement scalable, secure, and maintainable data platforms on Databricks and AWS cloud infrastructure., • Provide architectural leadership across engineering domains, ensuring consistency, scalability, and resilience, • Architect distributed data processing systems using Apache Spark and optimize for performance and scalability., • Lead development of reusable data pipelines and workflows using Databricks Workflows., • Translate business objectives into platform capabilities in collaboration with Product Managers and cross-functional teams., • Support AI/ML initiatives through robust data engineering, including feature engineering, model deployment., • Champion best practices in ETL/ELT, data quality, monitoring, observability, and Agile development., • Drive adoption of data governance standards: access control, metadata management, lineage, and compliance., • Establish and maintain CI/CD pipelines and DevOps automation for data infrastructure. Desired Skills and Expertise: • 15+ years of experience in software development, covering the full SDLC: ideation, design, development, testing, deployment, and support., • Strategic mindset, capable of aligning technical decisions with business goals and driving architectural vision., • Excellent collaboration and communication skills across functions, including data scientists, MLOps engineers, and product managers., • Advanced proficiency in Python and SQL, with a strong foundation in software engineering principles., • Extensive experience with distributed computing frameworks, particularly Apache Spark, including performance tuning and scalability., • Required hands-on experience with Databricks, including Unity Catalog, Feature Store, and Delta Live Tables., • Proficiency in data pipeline orchestration tools using Databricks Workflows, Airflow, or AWS Glue; Databricks required., • Strong command of data engineering best practices and tools, including ETL/ELT design, data quality validation, monitoring, and observability. Experience with Monte Carlo preferred., • Proven ability to build scalable, cloud-native data architectures on Databricks, AWS, Azure, or GCP; Databricks required., • Experience enabling AI/ML workloads including feature engineering, model deployment, and real-time processing., • Strong understanding of data governance and security, including access control, data lineage, compliance, and metadata management. Additional Information Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we’ll do everything we can to help. Inclusivity at Curinos: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

Job DescriptionCompany Description Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. Curinos operates in a hybrid/remote model, and this position is hybrid in the Greater New York, Boston or Chicago metropolitan areas. Job Description Curinos is hiring a Senior Data Engineer to join our Data Platform team. This team owns the shared data ecosystem upon which our B2B SaaS applications are built. You’ll work with a diverse team of talented engineers, AI and ML scientists, and product managers to build our next generation data and AI platforms, support migration of products from legacy infrastructure, and help product engineering teams leverage the platforms to launch new products and build new genAI applications. As a company that specializes in data-driven insights, the reliability, scalability, and effectiveness of our data & AI platforms are integral to our product offerings. Responsibilities: You'll work with product and engineering teams to: • Design, build, and maintain scalable and reliable data and AI platforms, including ingestion, storage, validation, governance, monitoring, and ELT patterns., • Implement data monitoring and pipeline observability., • Proactively identify opportunities and implement solutions to optimize pipeline operations and reduce manual work., • Develop and maintain ETL data pipelines for large volumes of data, writing clean, maintainable, and efficient code., • Maintain and evangelize high standards in software and data engineering best practices (SDLC, testing, scaling, performance)., • Proactively identify and implement new technologies and tools., • Conduct code reviews and provide feedback., • Support adoption of data platform tools and frameworks across teams., • Participate in agile ceremonies. Desired Skills and Expertise: • Advanced proficiency in Python and SQL., • Required experience with Spark, including distributed computing and optimization., • Experience with Databricks (Unity Catalog, Feature Store, Delta Live Tables)., • Extensive experience with data pipeline and workflow management tools (e.g., Airflow, Databricks, Glue)., • Strong understanding of data engineering best practices (ETL/ELT, monitoring, observability, validations)., • Experience with big data, scaling data processing, and distributed computing., • Production support experience., • Minimum 3+ years of professional experience (5+ years preferred)., • Self-discipline and eagerness to learn new skills, tools, and technologies., • Solid verbal and written communication skills. Additional Information Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we’ll do everything we can to help. Inclusivity at Curinos: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

Job Description We are a global commodity trading firm headquartered in NYC, seeking a Junior IT Security Specialist to join our cybersecurity and infrastructure team. This is a hands-on role supporting day-to-day security operations, cloud infrastructure, and incident response workflows. The ideal candidate will have a strong foundation in IT operations, a working knowledge of Microsoft Azure, and a passion for cybersecurity in a fast-paced financial environment. Key Responsibilities: • Monitor and respond to alerts within the Security Operations Center (SOC), • Assist in the investigation and documentation of security incidents, • Support the implementation and maintenance of security controls across on-prem and Azure cloud environments, • Perform vulnerability scans, track remediation efforts, and assist with patch management, • Help manage endpoint protection, identity access management, and secure configurations, • Collaborate with IT operations to ensure systems and networks are hardened and compliant, • Contribute to internal audits, compliance reviews, and policy development Stay informed on emerging threats, attack vectors, and best practices in cloud security Qualifications: • Bachelor’s degree in Information Security, Computer Science, or related field (or equivalent experience), • 1–3 years of experience in IT support, cybersecurity, or SOC operations, • Familiarity with Microsoft Azure security tools (Defender, Sentinel, Conditional Access, etc.), • Basic understanding of SIEM platforms, firewalls, and endpoint protection, • Strong troubleshooting skills across Windows and cloud environments, • Excellent communication and documentation abilities Preferred Certifications: • CompTIA Security+, • CISA (Certified Information Systems Auditor, • Microsoft Certified: Azure Security Engineer Associate (AZ-500), • Microsoft Certified: Security, Compliance, and Identity Fundamentals (SC-900) Preferred Experience: • Exposure to commodity trading or financial services environments, • Experience with scripting or automation (PowerShell, Python), • Familiarity with regulatory frameworks (FINRA, SEC, GDPR) What We Offer: • Competitive compensation and performance-based bonuses, • Exposure to cutting-edge security technologies and trading infrastructure, • A collaborative, high-performance culture with mentorship from senior engineers, • Opportunities for professional development and certification support #ZR

Job DescriptionCompany Description With over 7,000 experts in 20 countries, Talan is a global consulting and technology group dedicated to accelerating our clients' transformation through technology, data, and innovation. We’re proud to be a Certified Great Place to Work and are on track to reach €1 billion in revenue by 2025. At Talan, our philosophy is simple yet powerful: Positive Innovation—leveraging technology to benefit people and society. Job Description Location: Jersey City, NJ (Hybrid – at least 4 days onsite/week) Visa Sponsorship: We offer sponsorship under specific treaty-based U.S. work visas, including TN and E-2 (for eligible Canadian, Mexican, and French citizens). We do not support or transfer other visa types (e.g., H-1B). We are seeking a talented Senior Software Engineer (Python/PySpark) to contribute to the design and development of our client's software solutions supporting Finance and Risk functions. The ideal candidate will bring strong expertise in Python, large-scale data processing, and database management, with the ability to deliver high-quality and scalable solutions. Role and responsibilities • Design, develop, and enhance software solutions in line with best practices (maintainable, secure, scalable, testable)., • Build and optimize data processing pipelines using Python, PySpark, and SQL., • Support the full application lifecycle: development, testing, deployment, and production support., • Analyze requirements, propose solutions, and ensure timely delivery of high-quality applications., • Maintain and improve existing applications, resolving issues across environments as needed., • Work with stakeholders to clarify business needs and translate them into technical solutions., • Collaborate with peers across locations to deliver projects to defined standards., • Contribute to documentation, QA processes, and continuous improvement initiatives. #LI-ASD Qualifications • Bachelor’s or master’s degree in computer science, engineering, or related field, • 6+ years of professional experience in software engineering, • Strong expertise in Python with hands-on experience using Pandas, NumPy, • Proficiency with PySpark for large-scale data processing, • Solid experience with SQL (Oracle, PostgreSQL or similar), • Skilled in building and consuming APIs and working with JSON/CSV data, • Familiarity with modern SDLC practices, version control, and collaboration tools, • Exposure to data visualization tools (e.g., Matplotlib, Plotly), • Experience with cloud platforms or ETL frameworks (Databricks, Dataiku, etc.), • Knowledge of financial/risk systems or regulatory frameworks (e.g., CCAR, stress testing) Company’s Benefits At Talan, we invest in our employees' well-being and empower them with benefits, including: • Competitive salary, • 401(k) retirement plan with company matching, • 15 days of paid vacation per year at hire and up to 27 according to seniority (annual untaken vacation days are cashed out), • 8 paid holidays + 5 sick days + 2 personal days per year, • ❤️️‍Company health, dental, and vision insurance plans + FSA, • Voluntary STD and LTD

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization. Requirements • 8+ years of overall industry experience specifically in data engineering, • Strong knowledge of data engineering principles, data integration, and data warehousing concepts., • Strong understanding of the pharmaceutical/ Life Science domain, including knowledge of patient data, Commercial data, drug development processes, and healthcare data., • Proficiency in data engineering technologies and tools, such as SQL, Python, ETL frameworks, data integration platforms, and data warehousing solutions., • Experience with data modeling, database design, and data architecture principles., • Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms - AWS, Azure, • Strong analytical and problem-solving skills, with the ability to work with large and complex datasets., • Strong communication and collaboration abilities. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Job DescriptionAbout the role We are looking for a remote generalist senior backend engineer with experience in Java (and preferably Kotlin) to join our early team to build our product from zero to one. The role is based in downtown Manhattan, New York City. Your role will include projects working with other team members including building integrations into enterprise systems, scraping, contributing to systems to allows users to use LLMs to generate sales insights at scale, and scrape, processing & deriving insights from millions of public documents. You might be a fit if you: * Are a senior developer with Enterprise B2B SaaS experience or Big data processing experience in the JVM ecosystem and ideally Kotlin. * Are excited to roll up your sleeves and work in all parts of the backend and have experience working in small teams & startups. Ideally have experience working in a fast-growing startup. * Ideally experience with the following stack: * Kotlin (BE) * GCP * Google Cloud SQL for PostgreSQL * Firebase * Python * Have experience with some of the following (not required): * Natural Language Generation * Enterprise API integrations * Prompt Engineering * Large Scale Web Scraping & Parsing Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 30-minute phone interview during which a member of our team will make sure you're a good fit for the role. You will have the opportunity ask questions and learn more about the role as well. If you clear the initial phone interview, you will enter the main process, which consists of three interviews: * System design exercise hands-on. * Live coding in Java/Kotlin. * Product thinking and past work. Our goal is to finish the process within one week. We don’t rely on recruiters for assessments. Every application is reviewed by a member of our technical team. All interviews will be conducted via Zoom. Compensation Range: $145K - $220K

Job DescriptionPlease note: This role is Hybrid, with 3-4 days in office per weekThe Opportunity We are hiring a Senior Data Engineer to build and operate the pipelines that turn real world financial information into reliable, queryable data. You will process unstructured documents like tax codes and white papers, semi structured documents like tax forms and insurance policies, and structured datasets like user information and asset values. Your work will support retrieval, knowledge graphs, agents, analytics, and machine learning. You will also own ingestion jobs from APIs to scheduled downloads, and maintain multiple collections in a vector database. As Monstro's first dedicated Data Engineer, you will shape the foundation of our data platform at a company where data is the product. We are a data-intensive fintech handling the most sensitive consumer and institutional financial data at global scale, which means your standards for consistency, security, and reliability will directly impact our ability to deliver trust and value to our users. You'll set the tone for how data is ingested, transformed, secured, and served across the company, with clear ownership and a seat at the table in defining the future of Monstro's architecture. If you like clear ownership, high standards, and shipping, this role is for you. About Monstro Monstro, headquartered in New York, is an innovative AI-enhanced fintech company redefining personal finance management through a global financial platform. Our platform offers individuals a comprehensive view of their entire financial, legal, and tax life, delivering actionable insights, tailored recommendations, and the ability to take direct action. For financial institutions, Monstro unlocks unparalleled access to personalized customer data and insights. Leveraging Monstro's data-driven approach allows institutions to maximize revenue, boost customer retention, and attract new clients while lowering acquisition costs. By efficiently servicing clients across all wealth tiers and providing direct, actionable solutions, Monstro is transforming the financial services landscape. We are democratizing access to high-quality financial advice, enabling institutions to optimize operations, empower their clients, and achieve measurable growth in an evolving digital economy. Responsibilities * Document and data processing * Build and own scalable pipelines that parse and normalize unstructured sources for retrieval, knowledge graphs, and agents. * Conceive and implement novel processes for processing thousands of types of unstructured documents with accuracy and consistency * Process semi structured sources into consistent, validated schemas. * Transform structured datasets for analytics, features, and retrieval workloads. * Vector database and retrieval * Create, version, and maintain multiple collections in a vector database. * Manage embeddings, metadata, and lifecycle, and tune chunking and filters for relevance and latency. * Ingestion, orchestration, and infrastructure • Design and implement robust multi-modal document processing systems that handle heterogeneous file formats (PDFs, images, HTML, XML) with automatic schema inference, content extraction validation, and graceful degradation for malformed inputs, maintaining 99.9% pipeline uptime SLA. Own ingestion from APIs, file drops, partner feeds, and scheduled jobs with monitoring, retries, and alerting. * Implement data quality checks for schema, ranges, and nulls, and document lineage and SLAs. * Own and harden the infrastructure that supports ETL pipelines, storage systems, and serving services. * Data platform engineering * Stand up and harden object, relational, document, and vector stores with the right indexing and partitioning. * Build reusable libraries and services for parsing, enrichment, and embedding generation. • "Design and implement robust multi-modal document processing systems that handle heterogeneous file formats (PDFs, images, HTML, XML) with automatic schema inference, content extraction validation, and graceful degradation for malformed inputs, maintaining 99.9% pipeline uptime SLA. Security, compliance, and governance * Handle sensitive financial and personal data with access controls, auditing, and retention policies. * Collaboration and impact * Partner with product and engineering to ship features that depend on reliable data. * Document standards, coach teammates, and contribute to future hiring. * Bonus * Create and maintain Model Context Protocol endpoints or similar interfaces for controlled database access. Qualifications • Experience, • Minimum 2 years in a dedicated Data Engineering role at an AI-native startup or 4+ years of experience in traditional Data Engineering, with ~8+ years of experience in Tech overall., • Proven ownership of end-to-end pipelines (ingestion → transformation → serving), including scalable sourcing processes, ETL pipelines, and serving services., • Experience owning and operating infrastructure in production environments., • Technical skills, • Strong Python and SQL., • Hands on document parsing and ETL across PDFs, HTML, JSON, and XML., • Experience operating vector databases such as pgvector, Pinecone, or Weaviate, with multiple collections., • Building and scheduling ingestion via APIs, web downloads, and cron or an orchestrator, plus cloud storage and queues., • Understanding of embeddings, chunking strategies, metadata design, and retrieval evaluation., • Solid data modeling, schema design, indexing, and performance tuning across storage types., • Quality and security, • History of implementing data quality checks, observability, and access controls for sensitive data., • Track record of delivering high-consistency systems for mission-critical data pipelines., • Soft skills, • Ownership mindset, clear written communication, and effective collaboration with product and engineering.Why Monstro?, • Ownership and Impact: As our first Data Engineer, you'll own the foundation of Monstro's data platform and set the standards for how we ingest, transform, and serve data at scale., • Data-First Mission: Join a company where data is the product, handling the most sensitive consumer and institutional financial information with precision and trust., • Collaborate with Experts: Work closely with an accomplished executive team that has a proven history of scaling successful startups to significant exits., • Scalability and Growth: Be part of a high-growth startup, with the chance to grow into a leadership position as the company scales., • Mission-Driven: Join a company focused on democratizing access to financial management and education for individuals and institutions globally.

Job DescriptionJob Title: DevOps Engineer – Trading Infrastructure Position Type: FTE Location: NYC, USA Salary Range / Rate (Currency): $120,000 - $180,000 (USD) Job ID#: 156408 Job Description As a DevOps Engineer on the Trading Infrastructure team, you will play a critical role in supporting and maintaining high-performance trading systems. You’ll ensure system reliability, deploy trading applications, and contribute to the development of DevOps tools that enhance operational efficiency. Responsibilities: • Monitor and troubleshoot live trading infrastructure, • Maintain daily trading pipelines and system health, • Execute deployments of trading systems, • Build and improve internal DevOps tools, • Manage operational risk during change control in production environments, • Handle other assigned duties as neededRequirements:, • Bachelor’s degree in Computer Science, Engineering, or a related technical field, • Solid experience with Linux systems and scripting (e.g., Bash, Python), • Familiarity with CI/CD pipelines, version control (e.g., Git), and containerization tools (e.g., Docker, Kubernetes), • Experience with monitoring tools (e.g., Prometheus, Grafana) and log management (e.g., ELK, Splunk), • Strong troubleshooting skills and ability to respond quickly to incidents in a production environment, • Understanding of networking, system security, and automation best practices Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility. Contact: Candice- Recruiter, Financial Services & Fintech email: Phone: 781-690-9641 Wechat: xzhcandice Powered by JazzHR j2BHVcM5Zn

Job DescriptionKey Responsibilities: * Develop, integrate, and support GenAI-powered solutions using Python and .NET frameworks. * Collaborate with engineering teams to address real-world challenges using LLMs (as consumers, not model creators). * Apply deep problem-solving skills to engineer solutions — not just propose architectures. * Scale AI models for enterprise-level performance, considering optimization, tokenization, and cost efficiency. * Justify and implement tokenizer strategies and other AI engineering techniques for better model utility. * Work cross-functionally with product owners, data scientists, and cloud engineers to deliver impactful GenAI solutions. * Remain current with industry best practices and GenAI trends, adapting solutions accordingly. Required Skills Qualifications: * 5+ years of software engineering experience with a strong focus on Python development. * Solid working knowledge of .NET framework (C# or ASP.NET). * Demonstrated experience in delivering solution-oriented AI implementations (not just model development). * Hands-on experience with LLMs (e.g., OpenAI, Azure OpenAI, HuggingFace) in real-world applications. * Strong understanding of tokenization, inference strategies, and model scaling principles. * Ability to explain and justify engineering decisions to both technical and non-technical stakeholders. * Comfortable working in agile, cross-functional environments with high accountability. Nice to Have: * Familiarity with cloud-based AI/ML environments (Azure preferred). * Exposure to MLOps practices and deployment pipelines. * Experience with prompt engineering, embedding models, or retrieval-augmented generation (RAG)

Job DescriptionStrength in Trust OneTrust's mission is to enable organizations to use data and AI responsibly. Our platform simplifies the collection of data with consent and preferences, automates the governance of data with integrated risk management across privacy, security, IT/tech, third-party, and AI risk, and activates the responsible use of data by applying and enforcing data policies across the entire data estate and lifecycle. OneTrust supports seamless collaboration between data teams and risk teams to drive rapid and trusted innovation. Recognized as a market pioneer and leader, OneTrust boasts over 300 patents and serves more than 14,000 customers globally, ranging from industry giants to small businesses. Strength in TrustOneTrust's mission is to enable organizations to use data and AI responsibly. Our platform simplifies the collection of data with consent and preferences, automates the governance of data with integrated risk management across privacy, security, IT/tech, third-party, and AI risk, and activates the responsible use of data by applying and enforcing data policies across the entire data estate and lifecycle. OneTrust supports seamless collaboration between data teams and risk teams to drive rapid and trusted innovation. Recognized as a market pioneer and leader, OneTrust boasts over 300 patents and serves more than 14,000 customers globally, ranging from industry giants to small businesses.The ChallengeWe're looking for a skilled and motivated Senior IT Operations Engineer to join our IT Operations Team. Reporting to the IT Director, this role focuses on delivering extraordinary IT services while ensuring the stability, security, and scalability of our IT systems. You'll lead IT projects, troubleshoot and resolve technical issues, drive process improvements through automation and integration, and implement solutions that enhance business operations and user experience.Your MissionIT Services Delivery & Support • Analyze and address requests regarding IT systems issues and enhancements, leveraging analytical skills to diagnose root causes, implement timely and effective solutions, and drive continuous improvements through system modifications and process enhancements., • Diagnose and resolve Windows and macOS hardware, software, and network issues through user consultation and system analysis., • Administer, enhance, and support IT systems and applications (e.g., Entra ID, MDM) to ensure seamless integration and usability for all users., • Configure, install, and monitor IT systems, maintain precise inventory and asset records, and document best practices, ensuring all incidents, service requests, and changes are logged appropriately.Technology Solutions & Projects, • Lead IT projects from inception to completion, ensuring alignment with business goals, efficient execution, and successful delivery., • Design, build, and implement technology solutions that enhance system performance, user experience, and organizational scalability using innovative tools and techniques., • Develop and deploy custom solutions for SaaS productivity and collaboration tools to streamline workflows and enhance productivity., • Configure and maintain on-site office technologies such as meeting spaces, security systems, and enterprise networks., • Ensure secure and efficient deployments, system configurations, and policy enforcements by actively planning, testing, and executing solutions while making key decisions on best practices and strategic implementation., • Collaborate with and mentor IT team members, fostering a culture of innovation, knowledge-sharing, and continuous improvement.You AreYou're a tech-savvy, effective problem-solver with a passion for delivering remarkable IT services. Your curiosity drives you to learn and creatively apply new concepts, while your communication and interpersonal skills ensure that user needs are addressed with professionalism and empathy. The ideal candidate is self-motivated and initiative-taking, thriving in a dynamic environment where they can lead initiatives such as developing IT systems, delivering IT services, and creating sustainable practices and processes.Your Experience Includes, • 5+ years of experience in IT Support, IT Operations, or a similar technical role in a global company., • Proven track record of autonomously leading and executing IT projects, making strategic technical decisions, and ensuring successful stakeholder alignment and project outcomes., • Deep expertise in configuring, deploying, and supporting Windows and macOS endpoints and their MDM platforms., • Extensive experience managing Microsoft Entra ID, Microsoft 365, and SaaS solutions such as Jira, Confluence, and Zoom., • Proven experience configuring and managing SaaS automation and integration solutions, guiding operational efficiency and optimizing workflows., • Experience deploying and maintaining physical office technologies such as Teams rooms, enterprise networks (e.g. Meraki), and physical security systems., • Proficiency with ITSM and Agile project management platforms such as Jira., • Experience providing support for iPhone and Android devices., • Ability to mentor and share information with team members in a collaborative environment spanning both in-person and remote settings., • This is a hybrid role with 3-4 days in the New York office.Extra Awesome, • Technical certifications such as Microsoft Azure Administrator, ITIL, and CompTIA (A+, Network+, etc.)., • Experience advancing IT service improvements through automation and scripting (e.g., PowerShell, Python, or Bash). Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview. Benefits As an employee at OneTrust, you will be part of the OneTeam. That means you'll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers. Resources Check out the following to learn more about OneTrust and its people: • OneTrust Careers on YouTube Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to . Our Commitment to You When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career. OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are one of the highest-rated employers on Glassdoor. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you. • Mentorship and solution support to client-facing Data Engineers across key accounts, • Review data engineer work and proactively establish the adoption of best practices and frameworks that improve productivity and client satisfaction, • Work with the DevOps, MLE team to onboard and productionize Data Science models at scale., • Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points., • Coordinate between onsite and offshore leadership for regular updates, • Engage key client stakeholders to, • Review and provide the best solutions on the existing or new architecture requirements., • Recommend strategies to improve resiliency, security, and optimize costs., • Analyse, architect, design, and actively develop analytics frameworks, data lakes, and other cloud-based data solutions., • Bachelor’s degree in Computer Science/or any relevant experience in Information systems., • 10 years of experience in the IT field with hands-on experience in system administration and automation, • 3-5 years of strong hands-on experience with AWS(or another cloud) in building a Data and Analytics platform on the cloud., • 1+ years of experience with deploying services on Kubernetes on-prem or on-cloud, • 3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala)., • 1-2 yrs experience with Cloud data warehouse (Redshift, Snowflake, BigQuery), • Solid understanding of building Data Lakes on Cloud environments - Data Integration, Data Pipeline, Data compute, ML Models and Storage, etc., • Solid knowledge of and experience with Big data and Stream processing frameworks - Spark, Flink, or other, • Knowledge of delta lake or similar technology, • Exposure to operationalizing ML models @ scale on Cloud, • Solid understanding of DevSecOps and cloud security concepts and how to mitigate security risks in the cloud, • Must understand the Scrum Agile methodology and have worked on a Scrum team., • Knowledge of SQL, non-relational (NoSQL) databases, and Object Stores, • Good experience working on an onsite/offshore model, • Knowledge of networking, firewalls, load balancers, etc., • AWS Professional Architect Certification is preferred Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Job DescriptionSenior Systems Engineer /Core Infrastructure, VMware *US Citizens or GC Holders *On-site daily in Jersey City, NJ Position Overview We are seeking a highly skilled and experienced Senior Systems Engineer to join our IT Infrastructure team. This role focuses on the design, implementation, management, and optimization of core infrastructure systems with a specialization in VMware and related technologies. The Senior Systems Engineer will play a key role in ensuring the stability, scalability, and security of the organization’s IT infrastructure. Key Responsibilities • Core Infrastructure Management, • Design, deploy, and manage enterprise infrastructure, including servers, storage, and networking components., • Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability., • Lead infrastructure-related projects, including upgrades, migrations, and system integrations., • VMware Administration, • Architect, implement, and maintain VMware vSphere environments, including ESXi hosts and vCenter servers., • Optimize virtual infrastructure for performance, scalability, and cost-effectiveness., • Manage virtual machine provisioning, snapshots, and backups., • Configuration Management, • Develop and maintain scripts (PowerShell, PowerCLI, Python, etc.) for system automation and process improvements., • Automate repetitive tasks, enhance monitoring capabilities, and ensure system configurations adhere to best practices., • Implement and maintain security measures to protect core infrastructure systems., • Ensure compliance with organizational policies, industry standards, and regulatory requirements., • Collaboration and Leadership, • Work closely with cross-functional teams, including network engineers, database administrators, and application developers., • Mentor junior team members and provide technical leadership. Core Systems and Infrastructure: • Windows Servers: Configuration, management, and performance tuning, • Active Directory (AD): Management of users, groups, and roles, • Group Policy (GPO): Administration and customization, • DNS and DHCP: Configuration and troubleshooting, • Public Key Infrastructure (PKI): Implementation and management, • VMware vSphere, ESXi, and vCenter, • Backup and replication tools: Veeam, Rubrik, Zerto, CommVault, • High-availability design, clustering, and disaster recovery (D.R.) solutions, • SAN, NAS, and Storage Spaces Direct, • Familiarity with NetApp, Dell EMC, and HPE storage solutions, • Tools: SolarWinds, SCOM, PRTG, • Synthetic transactions and real-time alerting, • Performance tuning for Windows servers and virtual environments, • Root cause analysis for recurring performance issues Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Experience: Minimum of 7 years of experience in IT infrastructure engineering, with at least 5 years focused on VMware technologies., • Certifications:, • VMware certifications (e.g., VCP, VCAP, or VCDX) are strongly preferred., • Excellent problem-solving and analytical abilities., • Strong communication skills, both written and verbal., • Ability to work independently and collaboratively in a fast-paced environment., • Commitment to continuous learning and professional development.

Job DescriptionPosition Title: Junior SCADA Engineer Salary: $90,000 - $110,000 Employment: Full-time Benefits: Full and comprehensive benefits package Location: 1 of 4 Locations (Dependent on where you live) 1 North River Wastewater Treatment Plant W 135th St, New York, NY 10031 2 Red Hook Wastewater Treatment Plant 63 Flushing Ave #300, Brooklyn, NY 11205 3 Port Richmond Water Pollution Control Plant 1800 Richmond Ter, Staten Island, NY 10310 4 Jamaica Wastewater Treatment Plant 50-20 134TH ST JAMAICA, NY 11430 • Staff at Red Hook will also work at Port Richmond and Vice Versa, • Staff at North River and Jamaica will be isolated to those Locations Job DescriptionScope The SCADA Engineer is responsible for the design, development, and maintenance of Supervisory Control & Data Acquisition (SCADA) systems that monitor and control critical industrial processes. A key focus for this role is supporting municipal water and wastewater-treatment facilities, so prior experience with water/wastewater process control is highly desired. The engineer will collaborate with cross-functional teams to optimize plant operations, ensure regulatory compliance, and introduce new technologies that boost reliability, cybersecurity, and overall system performance. Duties & Responsibilities Area Key Tasks System Design & Development • Design, configure, and maintain SCADA architectures for water & wastewater plants (lift stations, pump stations, clarifiers, digesters, dechlorination skids, etc.)., • Develop HMI/GUI screens that clearly represent process equipment such as influent pumps, aeration blowers, UV disinfection banks, sludge press lines, and chemical-feed skids., • Integrate SCADA platforms with Allen-Bradley PLCs/RTUs Installation & Commissioning • Oversee field installation, I/O check-out, loop calibration, and full functional testing at treatment plants and remote sites., • Validate process-control logic for flow pacing, PID aeration control, pump VFD ramping, and wet-well level sequencing. Maintenance & Troubleshooting • Perform routine firmware upgrades, tag database modifications, and network-switch patching in accordance with AWWA and ISA/IEC 62443 guidance., • Diagnose sensor issues (e.g., pH, DO, ORP, turbidity), telemetry faults (cellular, fiber, licensed radio), and PLC/RTU failures, restoring systems to minimize plant downtime. Documentation & Reporting • Produce P&IDs, network topologies, and control narratives; maintain redlines/as-builts., • Generate regulatory and operational reports (flow totals, chemical-feed rates, SCADA alarm histories) to support DEC/EPA compliance. Collaboration & Support • Coordinate with process, mechanical, and electrical engineers, integrators, and plant operators to ensure seamless system performance., • Train plant staff on alarm management, trending, and basic HMI navigation. Compliance & Standards • Ensure all designs adhere to NYC DEP, NYS DEC, and EPA wastewater regulations, NFPA 820 electrical safety, and ISA 101 HMI, ISA 18.2 alarm-management standards., • Implement defense-in-depth cybersecurity measures (network segmentation, firewall rule-sets, VPN, multifactor authentication). RequirementsEducation • Bachelor’s degree in Electrical Engineering, Computer Science, Control Systems, or related field (Master’s preferred).Required Experience, • 1-3 years designing and supporting SCADA systems for water or wastewater-treatment plants or other continuous-process utilities., • Hands-on work with AVEVA System Platform, • Allen-Bradley programming experience, • Field startup/commissioning of process instrumentation (flow meters, level transmitters, AUMA/SIPOS valve actuators, VFDs).Technical Skills, • Strong understanding of biological nutrient removal (BNR), aeration control, pump-station automation, and distributed telemetry networks., • Proficiency in SCADA-related programming/scripting (C#, VB.NET, Python, SQL, JavaScript for web HMIs)., • Solid grasp of industrial protocols: Modbus TCP/RTU, DNP3, EtherNet/IP, Profibus/Profinet, OPC UA/DA, MQTT/Sparkplug-B., • Networking fundamentals: managed Ethernet switches, VLANs, cellular/fiber backhaul, virtual private networks, and fail-over redundancy., • Cyber-secure architecture design per ISA/IEC 62443 and AWWA G430/G200 guidelines.Soft Skills, • Excellent analytical and troubleshooting ability; comfortable working in live plant environments., • Clear, concise communication with operators, consultants, and municipal stakeholders., • Ability to balance multiple projects, travel to facilities across the NYC metro area, and respond to off-hours emergencies when required.Certifications (preferred), • ISA / IEC 62443 Cybersecurity Certificate, Certified SCADA Security Architect (CSSA), PE (Control Systems) licensure, or NICET Industrial Instrumentation. Additional Information • Frequent travel to water and wastewater facilities, pump stations, and remote telemetry sites within the NYC region., • Must be able to climb stairs and ladders, work in confined-space or elevated areas, and adhere to site PPE requirements. m1oYKp5A0f

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022) As a staff level software engineer at Maven Clinic, you will be responsible for driving the technical vision and roadmap for our Platform and Product Teams. You will lead the design, development, and maintenance of highly scalable, performant, and reliable systems that support the growing opportunities in our product and platform systems. You will work closely with cross-functional teams to ensure the delivery of high-quality products and features that meet the needs of our customers and adhere to Maven's quality standards. As a Staff Software Engineer at Maven, you will: • Lead the design, development, and maintenance of highly scalable, performant, and reliable systems that support the growing needs of Maven's platform and backend teams., • Propose, design, develop and implement cloud-based solutions that ensure the agility, flexibility, and scalability of our systems., • Drive technical design discussions and provide guidance to team members on best practices, coding standards, and architecture principles., • Collaborate with and lead cross-functional teams to drive the development of new features and products, ensuring they meet the needs of our customers and adhere to Maven's quality standards., • Mentor and guide and mid-level engineers, helping to develop their technical skills and cultivate a culture of continuous learning and improvement., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience., • Minimum of 8 years of experience in backend development and platform architecture, with a proven track record of building highly scalable, performant, and reliable systems., • Experience designing and implementing complex distributed systems, including microservices architecture, containerization, and orchestration., • Strong expertise in developing cloud-based solutions, with hands-on experience in one or more cloud platforms (AWS, Google Cloud, Azure, etc.), including infrastructure as code and serverless architectures., • Proficiency in multiple programming languages (Java, Python, Go, etc.), • Experience building distributed systems with microservices and relational and nosql databases., • Experience leading technical design discussions and providing guidance on best practices, coding standards, and architecture principles., • Strong problem-solving and analytical skills, with a proven ability to deliver high-quality code in a fast-paced environment. The salary range for this role is $225,000 - $300,000 per year. You may also be entitled to receive a bonus, stock options, and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job Description CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. What You'll Do As a Senior Engineer in Compute Services, you will be responsible for building fault-tolerant and reliable infrastructure to support both our internal processes and our customer platform. If you're passionate about GitOps, KubeOps, DevOps—really, all the ops—this role could be a great fit for you! • Design, develop, and maintain automated tooling to provision Kubernetes control planes on bare-metal, • Use Python, Golang, and Bash to create tooling and go operators, • Perform day 2 lifecycle tasks and maintenance on running clusters, • Identify gaps and implement fault-tolerant architectures, • Optimize reliability using the Grafana ecosystem, • Design automated testing to validate build quality and stability, • Proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, Kubeception, Kubespray, or similar, • Demonstrated ability debugging complex kubernetes cluster issues and carrying out upgrades, • Proficiency in Golang, Bash, and Python, • Advanced Linux OS troubleshooting skills, • Extensive experience with Ansible, • Advanced DevOps experience (e.g., GitLab CI, GitHub Actions), • Demonstrated ability to collaborate effectively on shared codebases, • Excellent documentation skills and high attention to detail, • Strong analytical and problem-solving abilities, • Bare-metal OS provisioning experience, • Kubernetes operator coding experience, • Advanced Linux networking expertise What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionDescription: We are currently seeking a NYC-based System Engineer to join our MIS/IT team! This is a hybrid position and would require you to reliably commute to our NYC locations. Why Join ADAPT? It's more than a job; it's a calling. It's where passion meets purpose. ADAPT Community Network, formerly United Cerebral Palsy (UCP) of NYC provides a multitude of services to people with developmental disabilities. At ADAPT, we are 3,000 strong, and it takes every one of us to empower the lives of the people we support. With caring and great resources at hand, we know what it takes to help people live fuller, happier, healthier lives. Our employees show their commitment to the people we support every day, and we all deliver on our promise to provide innovative and comprehensive services to individuals with developmental disabilities. For your next career move, apply with us at ADAPT Community Network! Wherever you work among our many locations around New York City, ADAPT offers paid training, competitive benefits, and we foster a team culture of learning, support, collaboration and career growth. SUMMARY Under direction of the Vice President of Information Technology, the System Engineer is responsible for ensuring the stability, security, and performance of ADAPT’s infrastructure and business applications. This role supports both network and application environments, including servers, databases, cloud platforms, and enterprise software solutions. The System Engineer will manage day-to-day operations, design and implement improvements, and collaborate across departments to deliver technology solutions that align with ADAPT’s mission. ESSENTIAL DUTIES AND RESPONSIBILITIES The duties and responsibilities of the System Engineer will include, but are not limited to, the following: Infrastructure & Systems Management • Deploy, configure, and maintain physical and virtual servers, operating systems, and enterprise applications., • Manage Active Directory, Exchange, DNS, group policy, Microsoft 365, and Azure Active Directory., • Monitor and optimize network performance (LAN, WAN, wireless, firewalls, and cloud services)., • Ensure consistent connectivity of servers, workstations, telephony, and video systems., • Oversee system backups, disaster recovery testing, and business continuity planning., • Analyze user requirements and translate them into functional and technical specifications., • Design, develop, test, and deploy applications to meet organizational and departmental needs., • Integrate new applications with existing systems, ensuring compatibility, security, and scalability., • Monitor application performance, implement system patches, and troubleshoot technical issues., • Develop and maintain technical documentation, user guides, and training materials., • Collaborate with IT teams and business units to deliver effective, mission-driven technology solutions., • Provide training and support to end-users to promote adoption and effective use of applications., • Deploy and manage security tools, including firewalls, intrusion detection/prevention, and antivirus., • Evaluate and recommend technologies to enhance security and system performance., • Ensure compliance with HIPAA, accessibility standards, and organizational security requirements., • Conduct periodic audits of systems, applications, and data integrity., • All other related duties as assigned. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. REQUIRED SKILLS • Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field., • 3–5 years of progressive experience in systems engineering, application development, or related technical role., • Strong experience with Microsoft technologies (Windows Server, AD, Exchange, Microsoft 365, Azure)., • Proficiency in at least one programming language (Java, Python, JavaScript)., • Experience with database systems (SQL, MySQL, Oracle)., • Knowledge of networking fundamentals, firewalls, and virtualization (VMware)., • Strong problem-solving, organizational, and communication skills., • Ability to manage multiple projects and meet deadlines., • Experience with nonprofit platforms (e.g., Blackbaud FE NXT, Medisked, Paylocity)., • Familiarity with EMR/EHR platforms and HRIS systems., • Experience with application integration tools, APIs, and middleware., • Knowledge of cybersecurity best practices and compliance standards. At ADAPT, we value diversity, equity, inclusion, accessibility, and belonging. We strive to ensure that our employees are comfortable bringing their whole, authentic self to work and that the people we support can also be their authentic selves. We value diverse backgrounds, opinions, ideas, and ways of thinking. We aim to build an inclusive and diverse workforce that is empowered and supported with leaders who create diverse and inclusive teams. We continuously seek opportunities for the organization to foster a more positive, respected, united, and collaborative culture. ADAPT Community Network is proud to be an equal opportunity employer and is committed to creating an inclusive environment for all employees. Qualified candidates of diverse ethnic and racial backgrounds and status are encouraged to apply for vacant positions at all levels. Requirements:

Job Description Microsoft Fabric Data Engineer needs 7+ years of experience in Microsoft Azure Microsoft Fabric Data Engineer requires: • 5+ of experience in building data and analytics platform focused on Azure data and analytics solutions., • Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Proficiency in:, • Software development and scripting languages, • ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow)., • Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse)., • Knowledge of data modeling and data warehousing concepts., • Excellent problem-solving and troubleshooting abilities., • Attention to detail and commitment to data accuracy., • Experience with cloud-based data migration., • Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions., • Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver., • 3+ years of programming experience in Python/Pyspark., • 7+ years of experience in Microsoft Azure., • Knowledge of Jira, Confluence, SAFe development methodology & DevOps., • Skills: Microsoft Fabric Data Engineer, Microsoft Azure, Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, ETL Tools, Database management, Cloud-based data migration, Python, PySpark

Job DescriptionSenior Network & Security Engineer Location: New York Tri-State Area (NYC / Northern NJ / Fairfield–Westchester CT) Work Model: Hybrid — 3 days on-site at primary data-center campus in Midtown Manhattan or Secaucus, NJ; 2 days WFH. Clearance: None required, but ability to pass a Tier 2 public-trust background check is a must. Travel: < 10 % (regional PoP / DR-site visits)About Us AITHERAS, LLC is a customer-focused IT consulting firm delivering cost-effective, mission-critical solutions since 2002. We specialize in Data Analytics, Cloud Computing, IT Engineering, Application Development, and Cyber Security. Based in Rockville, MD, we’re ISO 9001:2015 certified, an SBA-designated Small Business, and an MBE-certified firm by MDOT. We partner with over 100 clients to create scalable, innovative solutions that drive success.What You’ll Do% TimeResponsibility40 %Design & Implementation – Build and migrate segmentation zones, VRFs, and BGP/OSPF fabrics across Cisco Nexus 9K, Juniper QFX/MX, and Palo Alto PA-Series.25 %Security & Visibility – Stand up TACACS+/Cisco ISE for AAA, integrate flow telemetry into Cisco Secure Network Analytics (StealthWatch), deploy taps/SPANs/Gigamon, and tune IDS/IPS policies for OT & IT.15 %Automation – Write and maintain Python/Ansible/Terraform pipelines (pyATS, Nornir, Jinja2) for golden-config generation, compliance drift detection, and CI/CD-based push-button rollouts.10 %Operations & Incident Response – Serve as L3 escalation and join a 1-week-per-6 on-call rotation; own post-mortems and MTTR metrics.10 %Documentation & Mentoring – Produce HLDs/LLDs, MOPs, and runbooks; coach junior engineers toward CCNP/PCNSE.Must-Have Qualifications • 8+ years progressive experience in enterprise or service-provider networking., • Deep expertise configuring and troubleshooting BGP, OSPF, static routing, VRFs, VXLAN-EVPN., • Hands-on with Cisco Catalyst/Nexus & ASA/FTD, Juniper EX / QFX / MX, and Palo Alto NGFWs (Pan-OS 9/10)., • Solid command of AAA (TACACS+, RADIUS) and production deployments of Cisco ISE or equivalent., • Practical experience deploying or operating flow-analytics / tap infrastructure (StealthWatch, Gigamon, NetFlow/IPFIX, SPANs)., • Comfort writing Python and Ansible playbooks; git-based workflows (GitLab/GitHub, CI pipelines)., • Familiarity with network IDS/IPS (Snort, Zeek, Palo Alto Threat Prevention) and SIEM workflows (Splunk, QRadar)., • Ability to create HLD/LLD diagrams in Visio or draw.io and present them to technical & business leadership., • U.S. work authorization and ability to commute to NYC area 3× week.Nice to Have, • CCNP Enterprise/Security, PCNSE, JNCIS-ENT/Sec, or CCIE (R&S / Enterprise)., • Cisco Secure Network Analytics design experience (flow collector sizing, policy tuning)., • Prior exposure to industrial / OT networks (NIST 800-82, Purdue Model, SCADA segmentation)., • AWS or Azure Advanced Networking certification; Transit Gateway design experience., • Experience with F5 LTM/GTM or Citrix ADC in low-latency trading or fintech environments., • Source-of-truth & intent platforms (NetBox, Nautobot), RESTful API development, or Go/Rust scripting.What We Offer, • Base Salary: FTE: 135K-140K or $90-$100 C2C/1099, • FTE Benefits: 100 % employer-paid medical / dental / vision, 401(k) 5 % match, ESPP, • FTE Training: $3 k annual cert stipend, paid time for labs & conferences (Cisco Live, Palo Alto Ignite) Powered by JazzHR yiMixFkdvZ

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. About the Opportunity We're seeking an accomplished Staff Machine Learning Infrastructure Engineer to join StubHub's Data Engineering & Analytics team as a high-impact individual contributor focused on machine learning infrastructure and real-time inference systems. You'll architect and build the foundational ML platforms that power recommendation systems, pricing optimization, and personalization across StubHub's product. As a Staff-level IC, you'll operate as a technical force multiplier, setting technical direction for ML infrastructure across the organization. You'll lead through influence rather than management, advocating for long-term technical progress while balancing organizational needs. Your work will span strategic initiatives measured in months and years, focusing on high-leverage technical decisions that enable entire teams to be more effective. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Los Angeles, CA Strategic NeedWe have increasing needs to scale our machine learning capabilities to power personalized experiences, dynamic pricing, and intelligent recommendations across our platform. Our current ML infrastructure requires modernization to support real-time inference at scale, improve feature engineering workflows, and enable faster model deployment and iteration cycles. Additionally, we need to create the foundational data model along with the corresponding data pipelines, and build shared tooling to ease the process of developing and operating high quality trustworthy data assets. What You'll Do As a Staff Enginner focused on ML Infrastructure, you'll work across four key dimensions: Setting Technical Direction • Architect ML infrastructure strategy that aligns technical approaches across Data Science, ML Engineering, and Platform teams, • Drive consensus on technical vision for feature stores, inference services, and model lifecycle management, • Advocate for long-term technical progress while balancing immediate organizational needs, • Prototype and investigate ambiguous, high-impact ML infrastructure problems, • Build production-grade inference services with sub-100ms latency, intelligent caching, and 99.9% uptime SLAs, • Design model lifecycle management systems including versioning, A/B testing, rollback capabilities, and performance monitoring, • Modernize recommendation systems from legacy SQS-based architecture to scalable, real-time streaming solutions, • Provide engineering perspective in high-level organizational discussions about ML strategy, • Mentor engineers across the platform, actively sponsoring promising team members, • Inject technical context into critical decision-making processes, • Connect different team efforts to ensure ML infrastructure initiatives succeed, • Handle behind-the-scenes work that keeps critical ML projects moving forward, • Expedite high-priority ML infrastructure needs across the organization, • Ensure important strategic work gets completed even when it spans team boundaries What You've Done • 8+ years of relevant software or data engineering development experience in a fast-paced, high growth environment, • 3+ years of experience with machine learning infrastructure, MLOps, or ML platform engineering, • Proven track record of setting technical direction and leading complex, multi-team initiatives, • Strong programming and analytical ability with expertise in Python, Scala, or Java, and infrastructure-as-code, • Experience with feature store services and how they interoperate between batch and live inference systems, • Experience with live inference services including caching, SLAs, and performance optimization for production ML workloads, • Experience with model lifecycle management including versioning, A/B testing, and rollback capabilities, • Experience with streaming systems (Spark, Kafka) and how they relate to overarching ML platform architecture, • Experience with cloud-based ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML, • Technical leadership through influence rather than formal management authority, • Strategic thinking with ability to balance long-term technical vision with immediate organizational needs, • Cross-functional collaboration skills to work effectively with Data Science, Product, and Engineering teams, • Communication skills to inject technical context into high-level organizational discussions, • Problem-solving approach for ambiguous, high-impact technical challenges, • Experience with real-time recommendation systems and personalization platforms at scale, • Knowledge of ML model serving frameworks (TensorFlow Serving, TorchServe, Seldon, etc.), • Experience with A/B testing frameworks and experimentation platforms, • Experience with distributed computing frameworks (Ray, Dask, etc.), • Knowledge of ML security and privacy considerations, • Track record of technical writing or speaking at conferences about ML infrastructure What We Offer:, • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job Description Microsoft Fabric Data Engineer - 6 month Hybrid full-time role. Our client is seeking a highly experienced Microsoft Fabric Data Engineer to design, build, and optimize our enterprise data and analytics platform. The ideal candidate will be an expert in the Microsoft Azure ecosystem, with deep hands-on experience in data management, ETL/ELT processes, and big data technologies. You will be instrumental in migrating and modernizing our data infrastructure, ensuring it is scalable, performant, and cost-effective to support advanced analytics and business intelligence. Key Responsibilities: • Architect & Implement Data Solutions: Design, implement, and manage scalable data storage and processing systems using Azure services including Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database., • Develop Data Pipelines: Build, maintain, and orchestrate efficient, scalable, and reliable ETL/ELT processes using Azure Data Factory and Apache Spark (PySpark) to integrate data from diverse sources., • Drive Platform Migration: Lead and contribute to the build-out of new applications and the migration of existing ones to a modern cloud-based data architecture within an Agile (SAFe) framework., • Optimize Performance: Proactively monitor, troubleshoot, and optimize data pipelines and database systems for maximum performance, efficiency, and cost-management., • Collaborate in Agile Teams: Work closely with Scrum Masters, Product Owners, and cross-functional teams to deliver high-value features and meet sprint objectives., • Ensure Best Practices: Document data models, engineering processes, and pipelines to ensure clarity, transparency, and long-term maintainability., • Location: Must be local to Newark, New Jersey or the surrounding area., • Azure Expertise: 7+ years of hands-on experience designing and implementing solutions within Microsoft Azure., • Data Platform Focus: 5+ years of proven experience specifically building and optimizing data and analytics platforms on Azure., • Certification: Must possess either the DP-600 (Microsoft Fabric Analytics Engineer) or DP-203 (Azure Data Engineer Associate) certification. Direct hands-on experience with Microsoft Fabric is also highly valued., • Technical Proficiency:, • Expert-level knowledge of Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Azure Data Lake Storage (Gen2)., • 3+ years of strong programming experience with Python and PySpark for data processing and automation. Education: Bachelors degree in Computer Science, Information Technology, or a related field. Preferred Skills: • Proficiency with project management and collaboration tools such as Jira and Confluence., • In-depth understanding of SAFe (Scaled Agile Framework) principles and DevOps practices., • Strong knowledge of data modeling, data warehousing concepts, and best practices., • Excellent problem-solving and analytical skills, with a proven ability to perform root cause analysis and implement effective solutions., • Meticulous attention to detail and an unwavering commitment to data accuracy and quality. What's on Offer: • A competitive salary and comprehensive benefits package., • The opportunity to work on a high-impact, large-scale migration project with modern technologies., • A collaborative and innovative work environment that fosters professional growth. If you are a local New Jersey candidate who meets all the "Must-Have" qualifications and is excited to take on this challenge, please apply with your updated resume detailing your relevant experience. Equal Opportunity Employer Fortis Hayes is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. What You'll Do: The Cloud Platform team is a high-visibility team responsible for the interfaces to our customer-facing products. We own our cloud developer experience, providing our customers observability into their cloud resources and enabling effective, cohesive interfaces to manage them via our Console UI, REST/gRPC API, Infrastructure-as-code, CLI and SDKs. We also own our billing platform and administrative tools for internal and external customers. We're looking to grow our team across multiple experience levels to meet the growing demand for CoreWeave services. As a Backend Software Engineer on the Cloud Platform team, you will play a key role in designing, building, scaling, and maintaining the backend systems described above. You'll be working at the intersection of design, developer experience, and platform architecture to help scale CoreWeave's Cloud Platform. Some of what you'll work on: • Collaborate closely with cross-functional teams across CoreWeave, including frontend engineers, product managers and designers to shape the team's strategy and roadmap., • Design, develop, and maintain scalable, secure and performant backend services, APIs, and databases for our next-generation systems., • Participate in design discussions and architectural decisions to drive technical solutions that align with our business goals., • Contribute to software development best-practices, including writing maintainable and testable code and participating in thorough code reviews., • Debug and resolve production issues in a timely manner, providing high-level support when necessary., • Professional experience building and maintaining production-grade backend services., • Strong proficiency in one or more of Go, Python, or TypeScript., • Experience with authentication, authorization and security best practices., • Familiarity with observability practices including metrics and logging., • Solid understanding of CI/CD and software testing best-practices., • Solid understanding of database design and experience with SQL, • Excellent communication skills, with the ability to work effectively with both technical and non-technical team members., • Demonstrated ownership of code quality, performance, and maintainability from development through production., • Experience with Kubernetes and a conceptual understanding of its major components., • Prior experience building reliable and scalable platform services that process large amounts of data., • Proven experience with Prometheus/PromQL, including optimizing time series queries, and/or integrating Prometheus with large-scale systems for monitoring and analytics., • Experience with managing cloud infrastructure (AWS, GCP, etc.) The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionSr. Azure DevSecOps Engg. Location - NJ Need 2-3 days onsite ( Hybrid ) . Need candidates only with 12 + years experience . No H1B Transfer Candidates OR OPT/CPT This is a DevSecOps Role and not DevOps. Strong Azure Services, SAST/DAST , GitHub, Kubernetes, AKS , Terraform and Python Scripting experience is required. Our client is seeking a highly skilled DevSecOps Engineer to design, build, and maintain secure and scalable CI/CD pipelines for application and database deployments. Key Responsibilities: Design and maintain CI/CD pipelines for applications and databases using tools such as Azure DevOps, Jenkins, Smart City, GitLab CI, or GitHub Actions. Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or Helm. Integrate automated testing frameworks (junit, Slenium etc) and code coverage tools (e.g., SonarQube etc). Embed static and dynamic security scanning tools (SAST/DAST) into pipelines. Implement and monitor database CI/CD workflows for version-controlled schema migrations. Ensure secure secrets management using Azure Key Vault. Continuously monitor pipeline performance and enforce compliance, code quality, and security policies. Collaborate with application and database developers to optimize release strategies and rollback mechanisms. Conduct incident response drills, threat modeling, and vulnerability assessments within CI/CD contexts. Document DevSecOps processes and provide training to development teams on security and best practices. Required Skills & Experience: Proven experience with DevSecOps practices and tools. Proficiency in CI/CD platforms like Azure DevOps, Smart City, GitHub Actions, GitLab CI, or Jenkins. Solid understanding of cloud platforms (Azure, ). Experience with IaC tools like Terraform, CloudFormation. Strong background in code testing frameworks and code quality tooling (JUnit, SonarQube, etc.). Hands-on with database CI/CD, schema versioning, and database migration practices. Experience with containerization (Docker) and orchestration (Kubernetes, AKS). Familiarity with secure coding principles and compliance standards. Strong scripting skills in Python, Bash. Preferred Qualifications: Certifications: Azure DevOps Engineer. Experience with monitoring and observability tools. Experience in multi-cloud or hybrid-cloud DevSecOps pipelines. Familiarity with data masking, auditing, and encryption in the database CI/CD context. Flexible work from home options available.

Job Description Only local candidates can apply. MUST HAVE: • 7+ years of experience in Machine Learning., • Extensive software engineering experience with strong working experience as a Machine Learning Engineer., • Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred., • Advanced proficiency with Python, Java, and Scala., • Strong computer science fundamentals such as algorithms, data structures, multithreading., • Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG., • Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch, • In-depth experience building solutions using public clouds such as AWS, GCP., • Experience using ML platforms like SageMaker, H2O, DataRobot, etc., • Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc., • Experience managing relationships in a cross-functional environment with multiple stakeholders., • Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud., • Experience working in Agile/ Scrum development process. Job Description: As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value. Key responsibilities: • Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams., • Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models., • Partner with data scientists to understand, implement, train, and design machine learning models., • Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform., • Construct optimized data pipelines to feed machine learning models., • Extend existing machine learning libraries and frameworks., • Develop processes, model monitoring, and governance framework for successful ML model operationalization., • Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results., • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations., • 7+ years of experience in Machine Learning., • Extensive software engineering experience with strong working experience as a Machine Learning Engineer., • Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred., • Advanced proficiency with Python, Java, and Scala., • Strong computer science fundamentals such as algorithms, data structures, multithreading., • Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG., • Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch, • In-depth experience building solutions using public clouds such as AWS, GCP., • Experience using ML platforms like SageMaker, H2O, DataRobot, etc., • Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc., • Experience managing relationships in a cross-functional environment with multiple stakeholders., • Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud., • Experience working in Agile/ Scrum development process., • Thought leadership and innovative thinking., • Excellent communication and collaboration skills.

Job DescriptionAI Systems Engineer Title: AI Systems Engineer Location: FULLY remote! Salary: $175k-$250k base + RSUs + Full Benefits Requirements: 3+ years of Systems Engineering/DevOps/AI Infrastructure, AI, Python/Golang/Rust, and HPC experience Our HPC infrastructure goes beyond just the GPU - allowing companies to train, iterate, and deploy AI & ML projects faster than ever! We specialize in high-performance GPU cloud solutions tailored for AI & ML projects and cutting-edge infrastructure (including GPU clusters, high-speed networking, and scalable storage) to support demanding workloads. Our services are designed to optimize performance, reliability, and affordability for AI researchers, ML engineers, and enterprises. We're currently experiencing MASSIVE GROWTH... Our revenue grew over 95% in the last YEAR! We have made several acquisitions and formed several partnerships during this period of growth, and we need YOUR HELP to keep it going... We're currently seeking a talented and highly motivated AI Systems Engineer to design, build, and optimize the infrastructure that powers AI-driven applications. You'll work at the intersection of hardware, software, and data - enabling efficient deployment of AI models and solutions at scale. The ideal candidates have a strong background in systems engineering, high-performance computing, software defined networking, and general software development, with some experience in machine learning and deploying/maintaining AI systems in production. What You'll be Doing • AI Infrastructure Design and Development:, • Design and implement scalable AI/ML infrastructure., • Optimize AI pipelines for performance and reliability., • Integrate AI models using CI/CD best practices., • Model Deployment and Optimization:, • Deploy AI models in various environments (cloud, edge, on-premises)., • Optimize inference performance for latency, throughput, and energy efficiency., • Use tools like TensorRT and ONNX to accelerate models., • Systems Engineering:, • Maintain HPC clusters, GPUs, and distributed systems., • Develop tools for system monitoring and troubleshooting., • Ensure AI system reliability through proactive maintenance., • Collaboration and Cross-Functional Work:, • Align AI systems with overall product architecture., • Support AI researchers with efficient data pipelines and computing environments., • Security and Compliance:, • Ensure compliance with security standards and data privacy regulations., • Secure sensitive data and models in production., • Emerging Technology Integration:, • Stay updated with AI and machine learning advancements., • 5+ years of Systems Engineering, DevOps, or AI/ML Infrastructure experience, • 2+ years of experience in High Performance Computing, • Experience building cloud computing platforms (from scratch is a huge plus), • Hands-on experience with AI frameworks (TensorFlow, PyTorch, etc.), • Experience deploying AI/ML models in production environments, • Strong knowledge of distributed systems & HPC for AI workloads, • Experience with containerization & orchestration tools (Docker, Kubernetes, etc.), • Programming skills in Golang, Python, or Rust, • Familiarity with AI platform tools (Mosaic AI, Run.AI, SageMaker, Vetex AI, etc.), • Familiarity with Infiniband and/or RoCEv2 networking, & NCCL, • Proficiency in using AI hardware accelerators (GPUs, TPUs, etc), • $175k - $250k/year DOE, • RSU's, • 5 weeks PTO, • 401k w/ match, • Comprehensive Benefit Plan - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 08/05/2025 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job Description Pontera is a fintech company on a mission to help people retire better. Our software platform enables retirement savers to get the help they need managing their 401(k) and other retirement plan accounts as part of a personalized strategy by their trusted financial advisor. Pontera is used by financial advisors across the nation– from SMB to Fortune 500 RIA firms, independent broker-dealers, plan custodians, and plan advisors. Backed by leading venture capital firms including ICONIQ Growth and Lightspeed Venture Partners, Pontera is built by talented individuals who share a dedication to helping people retire with greater security. Our team is fast-growing and driven to become one of the largest fintech companies in the world. Our culture is built on a people-first principle: in a complex and numbers-driven industry, we never lose sight of the people we serve and work alongside. That's where you come in. DESCRIPTION We are seeking a highly skilled Senior Data Engineer to join our growing team. As a Senior Data Engineer, you will own the design, build, and optimization of Pontera's data platform - powering analytics, and data-driven product features. At Pontera, the Data Engineer plays a crucial role in designing and overseeing all BI and analytics solutions. They collaborate closely with various departments such as Product, R&D, BizDev, and Executive teams to address their data analysis requirements. Additionally, they hold responsibility for essential financial and operational metrics. This role offers the opportunity to make a significant impact in a fast-paced, high-growth environment while working on meaningful challenges that directly advance our mission. At Pontera, we leverage a modern data stack that includes Snowflake, DBT, Python and Fivetran, with infrastructure-as-code and CI/CD best practices. RESPONSIBILITIES • Design and maintain scalable data models and schemas in DBT/Snowflake to support analytical and operational workloads., • Build, optimize, and document robust ELT pipelines in SQL, Python, dbt for batch and near-real-time data ingestion., • Implement automated data-quality testing, monitoring, and alerting to guarantee trustworthy and timely data., • Collaborate with Product and Engineering teams on event instrumentation, schema design, and data governance standards., • Tune warehouse performance and manage cost efficiency through partitioning, clustering, and workload management., • Partner with Analytics and Data Science to translate business questions into engineered data solutions., • Mentor junior engineers and analysts, championing best practices in coding, documentation, and peer review.REQUIREMENTS Experience: 5+ years in a data-engineering role in the tech industry, with a proven track record of scaling data platforms in cloud environments (AWS, GCP, or Azure). * Technical Skills: Expert SQL and Python; hands-on with Snowflake (or Redshift/BigQuery) and DBT. An advantage- Orchestration tools such as Airflow; familiarity with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform), Familiarity with BI tools (Looker, Tableau) from a data-engineering perspective • Data Architecture: Deep understanding of dimensional modeling, CDC, and ELT best practices; experience integrating third-party APIs and event streams., • Quality & Reliability: Demonstrated success implementing data-quality frameworks and building highly reliable pipelines., • Business Acumen: Experience in FinTech, SaaS, or high-growth startup environments is a plus., • Communication: Excellent written and verbal communication skills, able to explain complex data concepts to both technical and non-technical audiences., • Collaboration: Strong interpersonal skills and the ability to work cross-functionally across Product, Engineering, and Analytics teams.Nice to Have, • Experience with streaming platforms (Kafka, Kinesis, Pub/Sub)., • Background in ML feature-store design or real-time data serving., • Familiarity with BI tools (Looker, Tableau) from a data-engineering perspective.WHAT WE OFFER, • Compensation: $160,000 to $200,000 annually, • Opportunity: Have a major impact at a fast-growing startup that is revolutionizing the FinTech industry, • Team Culture: A collegial, collaborative, fun work environment with frequent team events, • Equity: All new hires are eligible for equity grant participation, • Healthcare: Comprehensive & affordable insurance benefits with a variety of plan options, • Retirement: 401(k) with employer match & employer-sponsored access to a retirement advisor, • Family Benefits: Paid parental leave & reimbursement program for family planning services (such as fertility treatments, adoption, or surrogacy, • Professional Development: Sponsored learning & development program (to cover classes, certifications, and more!), • Food Perks: Fully stocked kitchen & lunch reimbursement program

Job Description Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. What We're Looking For Join our Data Platforms organization on the Data Engineering team. We're a horizontal team whose mission is to use our data to drive maximum value across the business we are today and the business we'll be in the future. You'll operate across a diverse range of technologies in every layer of our "data stack" to make that mission a reality. What You Will Do • Deliver a world-class data platform, converging disparate sources into a singular analytics solution, • Own and evolve the architecture of data models, pipelines, and platform components supporting business needs and future scalability, • Plan and delegate complex projects with broad scope, • Mentor and grow early career developers or engineers transitioning into Data Engineering from other domains, • Facilitate technical discussions, guiding the team toward the most effective approaches to problem solving, • Partner with BI Analysts and engage with internal stakeholders across the business to cultivate data products that align with current and future needs, • Write performant, readable, reusable, and tested code, • 6+ years experience as a data engineer, analytics engineer, ETL developer, or software engineer with deep data focus, • 3+ years experience building and maintaining an enterprise-scale data lake and/or data warehouse, • 2+ years experience building and maintaining data transformation projects in dbt, • Expert in data modeling, version-controlled dbt development, automated testing, and CI/CD, • Strong collaborative and communication skills to work with a variety of stakeholders, • Mastery of ANSI SQL and data modeling best practices, • Deep experience with modern cloud data warehousing and orchestration systems, • Strong experience working with cloud based data infrastructure, primarily in AWS, • Direct experience with Snowflake, Apache Airflow, AWS, Terraform, • Experience migrating to Snowflake from other data warehouses, • Demonstrated experience designing and implementing modern data architectures, design patterns, and data management including medallion architecture, data lakehouse, and data mesh, • Some experience with one or more BI Analytics tools, especially, Sigma and/or PowerBI, • Effective use of AI assistive tooling and agents to optimize productivity and accuracy At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is:$160,000—$200,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.

Job Description Stuut uses AI agents to accelerate cash collection by automating the accounts receivable process, from invoice generation to payment application. This results in faster decision-making, reduced Days Sales Outstanding (DSO) and lower transaction costs to optimize working capital. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. About the Role We're seeking a Forward Deployed Engineer to bridge the gap between our AI platform and customer success. You'll build integrations, help close high-stakes deals, and actively shape our AI implementation and customer success playbook. This is a high-impact role for someone who thrives on solving real-world problems and wants to help shape how we scale our platform and processes. This position requires deep technical expertise combined with the ability to translate complex AI capabilities into measurable business outcomes for CFOs and finance teams. What You’ll Do * Work directly with customers to understand their technical needs and goals * Lead onboarding and implementation for new customers, from setup to integration to launch * Write scripts, build automations, or develop custom solutions when needed * Own integrations with Netsuite, SAP, Salesforce, and other ERP platforms. * Collaborate with Sales and CS to shape the technical side of the customer journey * Identify gaps or inefficiencies in our process and proactively drive improvements * Provide product feedback and influence roadmap decisions based on real-world usage * Help create technical documentation and internal tools to support customer scale * Travel to client sites to meet clients and deploy Stuut What You Need * 3+ years of experience in a technical customer-facing role (e.g. Solutions Engineer, Implementations Engineer, FDE, or similar) * Strong programming skills in Python with extensive experience in modern integration technologies (APIs, ETL/ELT, enterprise auth) * Strong ownership mentality with a bias toward building and improving * Experience working with sales teams and supporting the pre and post sales process * Startup or high-growth experience preferred Nice to have * Experience with AI/ML-powered data processing and automation * Experience with financial technology or financial data integration * Track record of building developer tools and internal automation systems * Experience with cloud platforms (AWS, GCP, Azure) and containerization Compensation * Competitive salary and equity package * Health, dental, and vision insurance * 401(k) with employer match * Flexible PTO policy * Parental leave * Professional development budget * Opportunity to shape the future of financial AI * Work with cutting-edge AI technologies * Collaborative and innovation-focused culture Stuut is an equal opportunity employer. No applicant will face discrimination based on race, ethnicity, national origin, religion, age, gender, sexual orientation, gender identity, disability status, parental status, veteran status or any other characteristic protected by law. Compensation Range: $150K - $200K

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022) As a Senior Analytics Engineer at Maven, you will: • Design and develop data structures from both internal and 3rd party sources for use in analysis and reporting (primarily using SQL and Python), • Partner with stakeholders across Finance, Sales, Client Success, and Engineering teams to build dedicated data models and reporting that support critical business processes and goals, • Drive operational efficiency by identifying areas for process improvement and recommending highly scalable solutions, • Promote and exemplify development best practices, coding standards, and design principles, • Effectively communicate insights and results from analysis to stakeholders across Maven teams, highlighting opportunities to better serve our business, • 5-7 years of relevant analytics or data science experience, • Fluency in SQL and a strong background in data visualization, • Hands-on experience with Python or R, • An ability to juggle both long-term, strategic projects and ad hoc, urgent requests as needed, • Experience working with Financial and Sales data Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job Description About the Job The Lifetime Value Co. is looking for a Data Engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. At LTV, we all work closely together across teams, and there’s no red tape or bureaucracy. We get things done! This is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. You’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. What You Will Get to Do • Join an established and collaborative data team as an individual contributor., • Help build and maintain scalable, reusable pipelines to process large genealogy data sets., • Analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements., • Design, build, and maintain RESTful APIs to expose data and services to other teams and systems., • Write production-ready code and follow good engineering practices (testing, peer reviews, CI/CD)., • Troubleshoot issues and provide support to internal teams that depend on our data services., • Contribute to the design and continuous improvement of our tools, workflows, and infrastructure. Must-Haves: • MUST HAVE prior experience working in the genealogy industry (e.g., ancestry research, family history services, or historical records platforms), • 4-5 years of experience using Python in a production environment., • Hands-on experience or familiarity with Airflow (DAGs, operators, scheduling)., • Experience working with Docker (or other OCI-compatible container framework)., • Proficiency in Git and standard version control workflows (branches, pull requests, etc.)., • Experience building and consuming RESTful APIs., • Comfort working with data formats like CSV, JSON, and understanding how data flows across systems., • Experience with AWS services such as S3, IAM, and other core cloud infrastructure concepts., • Understanding of Kubernetes or interest in container orchestration., • Experience using GitHub Actions or similar CI/CD tools., • Familiarity with AWS OpenSearch or other search/indexing tools., • 100% remote work culture that supports flexibility and work-life balance., • Competitive base salary, • Competitive Annual Performance Bonus, • Home Utility Bonus, • Great health insurance including medical, dental, and vision, • Life insurance and personal accident insurance are fully paid by LTV, • Voluntary Life and AD&D insurance, • Pet Insurance via Fetch for those who have furry family members, offering coverage for veterinary expenses and peace of mind., • 401 (k) plan with fully vested company matching up to 6% - Eligible Day 1!, • Competitive Paid Time Off and Sick Time provided, • Day of Personal Significance, • Birthday Holiday, • Paid holidays throughout the year, • Early dismissal before a paid company holiday, • 5 additional days off for the End of the Year break!, • Meal delivery twice a week through Seamless/DoorDash, • Anniversary Appreciation Gifts and Milestones Bonuses, • Free ClassPass On-Demand workouts to Monthly ClassPass Subsidy, • Tax Preparation Bonus, • Home Office Reimbursement Perk up to $500 for your perfect work from home setup, • Student loan repayment & financial wellness resources via Peanut Butter, • Travel Expense Reimbursement for Qualifying Medical Care, • Flexible Savings Account/Health Savings Account, • Password Management with 1Password, • Professional Development Budget, training, and opportunities for professional growth - as we grow, you grow! If you have ambitions to be a part of a high-growth, results-driven, industry-leading organization, LTV is the place to be. LTV builds exciting data products and then we market them with passion. We’re a remote-first, fast-growing company with headquarters in New York City that balances the culture of a startup with the stability of being an established, profitable company. We want to work with people who strive to be in the top .01% of their field. We understand that getting to the top takes hard work, constant improvement, and by making data-driven decisions. It’s a thrilling time to join the team, as we’re expanding our product offerings in exciting new ways, driving innovation through data, marketing, and web & app development. We believe in diversity and hiring people from all backgrounds and walks of life. You must be energetic, inventive, a team player, and looking to help build and grow the company every day. You must have an inner desire to win and the idea of losing is a non-starter. If you are looking for a position that allows you to work with a group of smart and dedicated people who will support you but still provide the autonomy you need to execute your strategy, then you should probably apply as soon as you’re done reading this! About Us LTV was founded in New York by Josh Levy and Ross Cohen in 2007. At the time their mission was to provide easy and affordable access to public records. Something that in 2007, was only really accessible to corporations. Since then their mission has expanded to developing products and services that grant access to information and data across a number of verticals. In service of this mission, LTV has 10 consumer brands including BeenVerified, NumberGuru, PeopleLooker, NeighborWho, Ownerly, PeopleSmart, Bumper, ReversePhone, MoneyBot5000, and Wingmate. Our mission is to develop a diverse portfolio of technologies, products, and services, that give all people equal access to unbiased data and information. We believe that through this access people can empower and protect themselves in today’s ever-changing world, filled with fake news, deception, and a lack of transparency. Powered by JazzHR ninCf5T3vU

Job DescriptionAbout LILT AI is changing how the world communicates — and LILT is leading that transformation. We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality. At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI. About Engineering at LILT Lilt is a high-performance, large-scale language translation system. We invest in and prioritize workflow (i.e., usability and interface design) and backend AI systems. Since the translation workforce is distributed worldwide, there are interesting cloud engineering problems to solve. We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas. Where You’ll Work This position can be based out of our Indianapolis, IN or Berlin, Germany office and will be expected to work in the office in a hybrid capacity. Additional locations include the Boston, New York, Washington DC metropolitan areas where you will start as fully remote and then transition to hybrid once offices are opened in those locations. Authorization to work in the US and/or Berlin is a precondition of employment. What You’ll Do As a Staff Full Stack Software Engineering - Connect, you will work with a group of talented, mission-driven colleagues to define, drive, and execute projects on Lilt’s Connect API and connectors platform–the front door to our machine translation services. You will enable customers to deliver multilingual journeys and to provide truly localized experiences. Connect is at the forefront of the company strategy, therefore this is a high-visibility, high-impact role with enormous growth opportunities. You must be curious, have attention to detail, be energized by a challenging entrepreneurial environment, be comfortable thinking big while also diving deep, and be open to experimenting and iterating on processes as the company grows. Skills & Experience * Bachelor of Science or Masters of Science in Computer Science (Masters preferred) * 7+ years of professional experience as a Fullstack engineer * Experience leading an engineering team in a technical capacity (e.g. not a manager of people) * Experience working on large-scale, distributed software systems * Proficient with backend technologies such as Python and Java * Experience with React or other associated libraries, JavaScript, CSS, and HTML * Solid relational database knowledge and significant experience with very large MySQL installations are highly valued * Basic knowledge of NLP and machine learning techniques is highly valued * Professional fluency in English Benefits: * Compensation: At market salary, meaningful equity, 401(k) matching, and flexible time off plus company holidays * Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability * Paid parental leave is provided after 6 months. * Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle Our Story Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born. LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI. With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning. Our Tech What sets our platform apart: * Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent * Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing * 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation * Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review LILT in the News * Featured in The Software Report’s Top 100 Software Companies! * LILT makes it onto the Inc. 5000 List. * LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry. * Check out all our news on our website. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at . At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at . LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices. Compensation Range: $136K - $180K

Job Description We are looking for a Junior Software Engineer (Backend) who is experienced and brings deep expertise in backend development. You will join a small, talented team and lead efforts to architect scalable solutions, drive technical excellence, and support our vision for a future where client plays a critical role in shaping the internet's evolution. Requirements • BS or MS degree in a STEM major or equivalent job experience required, • 2+ years of experience in software development and writing very high-quality code that is robust and easy to maintain, • Knowledge on how to build large scalable systems, • Knowledge and experience in identifying and solving issues with intricate, live software systems, as well as in-depth familiarity with contemporary software development processes such as continuous integration and continuous deployment., • Strong analytical and problem-solving skills, with an ability to troubleshoot and resolve data flow issues, • Develop new features and software improvements, • Test, deploy and debug backend API services, • Designing, building, and optimizing scalable data pipelines to process and integrate data from various sources in real-time or batch modes, • Write clear, tested, documented code, • Create and review technical design, code, and documentation, • Golang, Python, Redis Clusters, Kubernetes

Job DescriptionBenefits: • 401(k), • Competitive salary, • Opportunity for advancement, • Training & development Job Type: W2 Contract Role, Full Time, On Site. Role is tied to a multi-year project contract. Industry: Information Technology / Data Engineering About Us At Red Hill Consulting LLC, we are more than just consultantswe are problem solvers, innovators, and strategic partners. With expertise in IT, governance, risk management, compliance, and business transformation, we help organizations navigate complexity and drive meaningful change. Our team specializes in delivering tailored, high-impact solutions that empower businesses to optimize processes, enhance security, and leverage data-driven insights. Whether it's implementing cutting-edge technology, refining operational strategies, or ensuring regulatory compliance, we take a proactive, hands-on approach to solving challenges. Rooted in our core values of Integrity, Innovation, and Excellence, we foster a collaborative environment where expertise meets execution. Our clients span industries such as finance, healthcare, government, and technology, and we pride ourselves on delivering measurable results that drive sustainable success. About the Role We are seeking a highly skilled Cloud Data Engineer to join a leading clients enterprise data engineering team. In this role, you will be responsible for designing, building, and maintaining large-scale data platforms, pipelines, and analytics systems that enable data-driven decision-making across the organization. This is a multi-year consulting engagement focused on modernizing enterprise data infrastructure by leveraging advanced Azure cloud services, data warehouse solutions, and DevOps practices. You will collaborate with architects, engineers, and business stakeholders to design and implement scalable data solutions that support analytics, reporting, and cloud transformation initiatives. This position is ideal for a senior-level engineer who thrives in hands-on cloud engineering, enjoys solving complex data challenges, and has a proven track record with Azure Data Factory, Azure Synapse, and enterprise-scale cloud data ecosystems. Key Responsibilities • Data Pipeline Development: Design and build scalable, high-performing data pipelines using Azure Data Factory, Synapse, and Azure Data Lake, supporting both batch and streaming data ingestion., • Cloud Platform Engineering: Develop and maintain enterprise-scale data platforms leveraging Azure IaaS/PaaS services, ensuring performance, scalability, and security., • Data Warehousing Solutions: Architect and optimize SQL Server-based and cloud-based data warehouses, implementing best practices in data modeling and integration., • DevOps & Automation: Implement CI/CD processes, infrastructure as code, and automation for seamless deployments and environment management., • Cross-Platform Expertise: Integrate solutions across Azure, AWS, and hybrid environments, providing architectural input for data movement and transformation strategies., • Advanced Analytics Enablement: Support downstream analytics platforms (Power BI, Azure Databricks, Spark, HDInsight) by designing efficient data structures., • Security & Compliance: Develop robust data security models and enforce governance across data pipelines and storage systems., • System Troubleshooting: Monitor and optimize pipelines, resolve performance bottlenecks, and troubleshoot complex data engineering issues., • Collaboration & Mentorship: Partner with stakeholders, guide junior engineers, and provide technical leadership throughout the project lifecycle., • Documentation & Training: Maintain comprehensive system documentation and deliver training for engineering teams and business users. Qualifications & Skills Education & Experience: • Bachelors degree in Computer Science, Engineering, or a related field., • 12+ years of experience in designing and developing enterprise-scale data warehouses and analytics systems in both cloud and on-premises environments., • Proven expertise in Azure cloud data services: Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, Azure Pipelines, and related IaaS/PaaS offerings., • Strong background in data modeling (Kimball and Inmon), ETL/ELT development, and pipeline orchestration., • Experience developing NoSQL solutions with Azure Cosmos DB and integrating with streaming data sources., • Proficiency in SQL Server (SSIS, SSAS, SSRS), T-SQL development, and query optimization., • Experience with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC) practices., • Knowledge of Azure Databricks, Spark, IoT, and HDInsight is highly desirable., • Hands-on experience with C#, PowerShell scripting, and Python., • Strong understanding of data security models and compliance standards., • Excellent communication and stakeholder engagement skills, capable of working with both technical and business teams., • Strong analytical and problem-solving mindset with attention to detail., • Ability to mentor and lead junior engineers while delivering hands-on solutions., • Be part of a dynamic, mission-driven team that values innovation and strategic thinking., • Work on diverse, high-impact projects across multiple industries., • Opportunities for professional development and career growth., • Competitive salary and benefits package.

Job Description Owl.co empowers insurers to combat illegitimate claims on a large scale while eliminating human bias from the process. Our clients are top insurance companies across North America, achieving remarkable results through our AI-powered, evidence-based platform. We are well-funded and have engineering offices in New York City, Toronto, and Vancouver. We are looking for an experienced Software Engineer to design, implement, and maintain our infrastructure solutions. The ideal candidate will have a strong background in software engineering with a focus on infrastructure, and be proficient with Amazon Web Services (AWS). This role involves collaborating with other engineers to ensure our infrastructure is robust, scalable, and secure. This role is 5 days per week onsite in our New York office located in Chelsea. Key Responsibilities: • Design, develop, and maintain scalable infrastructure solutions using AWS services., • Implement infrastructure as code (IaC) using tools such as Terraform, CloudFormation, or similar., • Automate deployment, monitoring, and management of infrastructure., • Collaborate with software development teams to ensure seamless integration and deployment of applications., • Monitor and optimize infrastructure performance, scalability, and security., • Troubleshoot and resolve infrastructure-related issues., • Implement best practices for security and compliance., • 3-6 years of experience as a Software Engineer with a focus on infrastructure., • Strong proficiency in AWS services such as EC2, S3, RDS, Lambda, and VPC., • Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation, • Proficiency in scripting languages such as Python, Bash, or similar., • Familiarity with CI/CD tools and practices. Why join Owl? • Industry Leaders: Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team., • Market Leadership: We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate, with renewals consistently doubling their previous terms., • Lean & Impact Driven Team: Our small, nimble team makes swift decisions and encourages direct communication and innovation through a flat organizational structure. You’ll make real, meaningful contributions right from the start., • Established Product-Market Fit: AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada., • Healthcare benefits: we cover 100% of the premiums for you and your family (medical, dental & vision)

Job Description Overview CTG is seeking an Infrastructure Security Engineer / Systems Engineer to work onsite in NYC. Must have proper work authorization, and this position does not allow for C2C or 1099. Location: Onsite in NYC 5 days per week (Must have a valid drivers license) Duration: Long term contract that could be a contract to hire Key Responsibilities: Operating Systems & Servers: • Proficiency with Windows Server/Desktop operating systems, including user administration, file systems, software, and services., • Experience managing Linux operating systems, Workstations, and Application Servers., • Understanding of servers and various storage RAID configurations., • Experience with Nutanix clusters, including design and implementation of Nutanix environments., • Management of Active Directory, including backup and recovery of domains and Group Policy Object (GPO) setups., • Strong understanding of fundamental networking concepts and troubleshooting (DHCP, DNS, routing, firewalls)., • Experience with network security tools such as NIDS/NIPS, proxies, secure web gateways, and firewalls., • Fundamental understanding of security principles, ACLs, encryption, and intrusion detection/prevention systems., • Proficiency in scripting languages such as PowerShell, Bash, Ksh, Perl, or Python for automating routine tasks., • Ability to actively monitor the entire infrastructure and troubleshoot servers., • Bachelor's degree in Computer Science, Information Technology, Information Security, or related field (or equivalent experience)., • Minimum of 8 years of experience in IT support, including 3-5 years of hands-on experience in cybersecurity, system administration, or a related role., • Strong technical knowledge of various computing platforms, including servers, networks, and storage., • Well-organized, detail-oriented, and flexible to handle multiple assignments and meet deadlines with a safety mindset., • Ability to exercise good judgment, integrity, and make sound business decisions., • Versatility, adaptability, and a willingness to learn new technologies., • Willingness to provide off-hour, on-call support for workstations, servers, and other system-related issues, including travel to various supported sites., • Flexibility to work overtime and adjust work hours for emergencies or scheduled work outside normal business hours., • 2nd and 3rd-level technical support, • Ability to intrepid, modify and write scripts and SQL queries, • Analysis of cyber activity / threats, • Experience with Splunk, • Failover Manager administration with clustering VMware To Apply: To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Tana Stilloe at . Kindly forward this to any other interested parties. Thank you!

Job Description About Child Mind Institute We’re dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We’ve become the leading independent nonprofit in children’s mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow’s breakthrough treatments. Position Details: The Senior Full Stack Engineer is an experienced full stack engineer who supports the product development efforts for a software platform that provides evidence-based tools for scientific discovery and better health outcomes. The application is written in React, React Native, Python, leverages Postgres, and is hosted on AWS. The architecture heavily leans toward its web and mobile clients and you will be well versed in those technologies and their respective ecosystems. Reporting to the Engineer Director, this is a full time, exempt position. Candidates located within commuting distance are expected to work on-site at least 4 days per week. For candidates outside of commuting range, remote work may be considered. You Will: • Implement and improve features across frontend and backend systems within MindLogger, CMI’s software platform that provides evidence-based tools for scientific discovery and better health outcomes, • Perform code reviews of other engineers’ code ensuring adherence to best practices, security requirements, and coding standards, • Collaborate with product, design, and the Lead Engineer to develop and refine the technical portion of user stories, • Participate in Agile ceremonies - standups, planning, refinement, and retrospectives, • 5+ years of web and/or mobile application development experience across at least two domain areas (e.g., web & backend, mobile & backend)., • 2+ years experience in at least three of relevant domain areas (e.g. mobile & web, web &backend, etc) in the specific technologies we use; with reasonable substitutions accepted (e.g. Ruby/Node for Python, Django/Express/Rails for FastAPI, etc), • Mobile Frontend / Typescript & React Native, • Web Frontend / Typescript & React, • Backend API development / Python & FastAPI, • Infrastructure Automation / Terrafrom & AWS, • CI/CD Automation / Jenkins & Github Actions, • Proficiency in cloud based development, • Proficiency working in Linux like environments, • Proficiency in a modern distributed version control system (we use Git & GitHub) #LI-hybrid Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website. Pay Range Remote compensation range: $112,542.55 - $125,519.50 NYC Metro Area compensation range: $132,403 - $147,670 The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Job Description Job Title: Technical Operations Engineer Location: Remote, US (PST preferred for customer coverage) Department: Engineering Type: Full-Time, Exempt Experience: 3+ Years Salary Range: $95,000 - $115,000 / year (+equity, benefits) Core Hours: 9 AM - 1 PM PST / 12 - 4 PM EST About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. Role Summary We're looking for a Technical Operations Engineer to help scale and execute our technical operations processes. This role is ideal for someone who's customer-obsessed, energized by solving technical challenges, and eager to grow their career in a fast-paced startup environment. You'll report to the Manager of Technical Operations and work closely with cross-functional teams across Engineering, Product, and Customer Success. Our team is looking for someone based in the Pacific time zone to provide coverage to West Coast customers. What You'll Do Client Solutions • Serve as a technical advisor for customers, helping design and develop complex integration solutions, • Build strong relationships and troubleshoot customer issues throughout onboarding, launch, and beyond, • Partner with Product and Engineering to develop specs for new features and integrations, • Lead and contribute to cross-functional projects that span infrastructure, delivery, and support, • Automate and optimize internal workflows and technical operations processes, • Translate business needs into actionable reports and dashboards, • Collaborate across teams to prepare and deliver data-driven insights, • Write and debug advanced SQL queries for internal and external reporting, • Investigate data issues and provide clear recommendations or resolutions, • Lead external partner integration projects, from gathering requirements to coordinating with external engineering teams, • Act as a subject matter expert across Engineering, Sales, and Customer Success, • Improve internal and customer-facing documentation to reduce friction and ticket volume, • Communicate technical concepts clearly to both technical and non-technical audiences You'll Be Successful in This Role if You Have/Are • Strong technical problem-solving skills and ability to adapt quickly to new technologies, • Ability to turn business needs into functional and scalable solutions, • Proven experience with relational databases and query engines (e.g., AWS Athena), • Advanced SQL skills; ability to write complex queries for analysis and reporting, • Experience working with programming languages (e.g., Python, JavaScript), • Hands-on experience with AWS infrastructure and tools (e.g., S3, Athena, Quicksight), • Experience with BI/reporting tools (e.g., Looker, Snowflake, GCP), • Strong communication skills—especially in a remote, cross-functional environment, • Comfortable presenting technical insights to internal teams and external clients Culture and Benefits At tvScientific we believe people do their best work when they feel challenged and engaged by their day to day responsibilities, when they're surrounded by smart, hard working people, and when they have a healthy work life balance. Our company culture and benefits package reflects these beliefs. • Full health, dental, and vision insurance - up to 95% funded by the company for employees., • Employee stock option program., • Company-sponsored retirement plan with a matching contribution program through Fidelity Investments., • 12 annual paid holidays (including 2 flexible days)., • Generous PTO policy (get your work done and take the time you need)., • Big Thinkers: We believe in setting audacious goals and envisioning transformative change., • Radically Transparent: We value transparency in all aspects of our business. We foster a culture of open communication, honesty, and accountability., • Performance-obsessed: We are passionate about achieving exceptional results. We strive for excellence in everything we do and set high standards for ourselves., • Data-driven: We embrace the power of data, science, and technology as crucial drivers of our success., • Trust Builders: We prioritize building and nurturing trust with our stakeholders. We understand that trust is the foundation of successful relationships and business partnerships. Through our actions, integrity, and commitment to delivering on promises., • Forever Students: Challenge assumptions to look for solutions. We create a safe environment for experiments and risk-taking by our customers and employees. tvScientific is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. tvScientific is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.

Job Description Senior LogicMonitor Engineer Remote (U.S.-based) | Hybrid optional (Tri-State Area preferred) JSOC IT is a high-performance cybersecurity and IT managed service provider supporting clients in highly regulated industries like financial services and fintech. We offer comprehensive services from security architecture to 24/7 support, specializing in modern, cloud-first environments with zero trust and automation at our core. What We're Looking For: We’re looking for a full-time engineer to join our team with strong LogicMonitor architecture and administration expertise and a proven ability to design monitoring strategies for complex, regulated environments. You’ll help drive observability, performance, and reliability across a diverse client base by building advanced monitoring frameworks, optimizing integrations, and enabling automation at scale. What We're Looking For: We’re looking for a full-time engineer to join our team with strong LogicMonitor architecture and administration expertise and a proven ability to design monitoring strategies for complex, regulated environments. You’ll help drive observability, performance, and reliability across a diverse client base by building advanced monitoring frameworks, optimizing integrations, and enabling automation at scale. What You’ll Do: Own and manage LogicMonitor configurations, dashboards, alert policies, and integrations. Administer and optimize monitoring tooling including: • LogicMonitor (infrastructure & SaaS monitoring), • Custom LogicModules and data sources, • Cloud monitoring connectors (AWS, Azure, GCP), • Integrations with ITSM platforms (Autotask, Jira Service Management, ServiceNow), • Oversee monitoring coverage across infrastructure, cloud, endpoints, and SaaS applications, • Design and implement automation workflows for alerting, escalations, and event management, • Collaborate with the DevSecOps and Cybersecurity Ops teams to drive observability into resilience and compliance initiatives, • Provide frontline escalation support for monitoring-related incidents and performance tuning across diverse environments, • Assist with compliance-driven reporting, operational maturity projects, and client audit deliverables, • 4+ years of experience with LogicMonitor engineering and administration in enterprise or MSP environments, • Deep expertise building LogicModules, SNMP/WMI integrations, and cloud connectors (AWS, Azure, GCP), • Strong proficiency with automation and scripting (Python, PowerShell, Bash, REST APIs), • Comprehensive knowledge of infrastructure monitoring fundamentals across servers, networks, virtualization, SaaS, and cloud platforms, • Familiarity with ITSM/ITAM integrations (Autotask, Jira Service Management, ServiceNow, etc.), • Experience designing monitoring strategies in regulated industries (financial services, fintech, healthcare preferred), • LogicMonitor Certified Professional (or higher), • MSP/MSSP background with multi-tenant monitoring experience, • Familiarity with complementary platforms (Liongard, Saaslio, Datadog, PagerDuty, etc.), • Exposure to governance frameworks such as NIST CSF or CIS Controls, • Work in a high-growth, high-performance cybersecurity environment, • Flexible, remote-friendly culture with opportunities for hybrid collaboration, • Direct impact on security posture for critical, highly regulated industries, • Be part of a small, elite team driving innovation and client trustCompany DescriptionAt JSOC IT, we're not just securing businesses – we're revolutionizing the cybersecurity industry. Our team is comprised of passionate experts who thrive on solving complex challenges and pushing the boundaries of what's possible in information security. We're always on the lookout for talented individuals who share our vision and want to make a real impact in the field of cybersecurity.At JSOC IT, we're not just securing businesses – we're revolutionizing the cybersecurity industry. Our team is comprised of passionate experts who thrive on solving complex challenges and pushing the boundaries of what's possible in information security. We're always on the lookout for talented individuals who share our vision and want to make a real impact in the field of cybersecurity.

Job Description Data Storage Engineer Location: New York, NY Duration: Long Term Summary: The Data Storage Engineer will be responsible for managing and maintaining the organization's data storage infrastructure. This includes ensuring that data is securely stored, reliably accessible, and efficiently maintained. The engineer will lead the design and implementation of robust storage and backup solutions, and will optimize performance through effective load balancing, clustering, data replication, and configuration management practices. Key Responsibilities: Design, implement, and maintain storage architecture to meet the agency's data and application availability, performance, and retention needs. Manage and maintain enterprise SAN/NAS storage systems, including provisioning, monitoring, performance tuning, and lifecycle management. Implement and oversee backup and recovery strategies (e.g., Veeam, Commvault, NetBackup), ensuring business continuity and compliance with data retention policies. Configure and support data replication, load balancing, and server clustering solutions to enhance system resiliency and disaster recovery readiness. Manage storage-related automation and configuration management through tools such as Ansible, Puppet, or PowerShell scripting. Monitor storage health and usage patterns; proactively respond to performance bottlenecks or capacity thresholds. Collaborate with infrastructure, cloud, and database teams to ensure integrated system performance. Maintain accurate technical documentation, SOPs, inventory records, and data diagrams for infrastructure components. Enforce data security, access control, and encryption policies across storage environments. Stay current with emerging storage technologies and best practices; propose and implement system upgrades and optimizations. Participate in audits, security reviews, and compliance reporting. Minimum Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent combination of education and experience). 3–5 years of experience in enterprise data storage engineering, administration, or architecture. Hands-on experience with SAN, NAS, iSCSI, and Fibre Channel technologies from vendors such as Dell EMC, NetApp, Hitachi, or Pure Storage. Proficiency with storage-related protocols and technologies (NFS, SMB, CIFS, RAID, ZFS, Ceph, etc.). Experience implementing and managing data backup, disaster recovery, and high availability solutions. Familiarity with scripting and automation (e.g., Bash, PowerShell, Python) for storage provisioning and reporting. Understanding of networking principles (TCP/IP, VLANs, firewalls) as they relate to storage access and replication. Preferred Qualifications: Certifications such as NetApp Certified Data Administrator (NCDA), Dell EMC Storage Administrator, or AWS Certified Storage – Specialty. Experience with hybrid or cloud-based storage solutions (e.g., AWS S3/Glacier, Azure Blob, Google Cloud Storage). Knowledge of ITIL processes, change management, and enterprise ticketing systems (e.g., ServiceNow). Government or public sector experience managing mission-critical storage infrastructure. Exposure to regulatory standards (e.g., HIPAA, CJIS, FISMA) affecting data storage, security, and access.

Job DescriptionGTM Engineer (Full-Stack) | naptha.ai About this role Naptha AI is seeking a talented Go-to-Market Engineer with full-stack development skills to join our innovative AI startup. In this role, you'll design and build technical experiments that showcase our cutting-edge AI technology to developers. Working directly with our founding team, you'll create demo applications, integrations, interactive landing pages, and developer onboarding experiences. This position is perfect for engineers who combine strong technical abilities with growth mindset and want to make an immediate impact in a fast-paced environment. * Design and build technical GTM experiments including demo apps, integrations, and interactive landing pages * Work directly with the founders on small bet initiatives from idea to shipped product * Integrate our AI technology into real-world use cases and showcase its value to developers * Spin up mini tools, plugins, or prototypes to test positioning, features, or distribution channels * Implement lightweight analytics to measure outcomes and iterate quickly * Collaborate with backend engineers and product to ensure velocity and alignment * Engage with early adopters (mostly developers) to gather feedback, unblock them, and learn what sticks Why Join Us * Shape how our product gets into the hands of developers and how it evolves with them * Work directly with the founding team in a no-red-tape environment * Own projects end-to-end, from idea to implementation to impact * Be one of the first hires in a company built on technical excellence and fast iteration In this role, you’re a good fit if you have: * 3–6 years of experience as a full-stack engineer, ideally in early-stage startups * Strong front-end skills (React, Next.js or similar) and backend familiarity (Node, Python, etc.) * Experience working with APIs, SDKs, or developer tooling is a big plus * Ability to build and ship fast — even if it's scrappy, prioritizing learnings over perfect code * Comfort jumping on calls with users, writing docs, or implementing quick fixes in production * Bonus: Experience with AI/ML APIs, SDKs, or infrastructure tools * Bonus: Experience in growth engineering, developer advocacy, or building for developers * Bonus: Experience working in an environment driven by experimentation and iteration About the hiring process * Video interview with hiring manager * Take-home project * Presentation of take-home project to panel * Interview with co-founders Compensation & Benefits * Highly competitive salary and significant equity stake * Role and compensation scaled to your experience * Remote-first work environment * Full medical, dental, and vision coverage * Flexible PTO policy * Learning and conference budget We're looking for software engineers with a product and growth mindset who are excited about rapidly testing ideas, gathering feedback, and iterating on product experiences. If you thrive in fast-paced startup environments, enjoy full-stack development with React and Node.js, and are passionate about creating developer tools and AI applications, we want to talk to you. Keywords: Full-Stack Engineer, Frontend Developer, React Developer, Next.js, Node.js, Python, JavaScript, Growth Engineer, Developer Experience, AI, Machine Learning, Startup, GTM, Go-to-Market, Developer Tools, SDK, API Integration, Product Development

Job Description Sr. Software Engineer, Front End New York City, NY Our Mission: Hospital-Quality Care, Everywhere. The healthcare industry still relies on faxes and phone tag to coordinate critical care for patients at home. We think patients and the clinicians who serve them deserve better than a system stuck in 1995. Verse Medical is building the modern software infrastructure to make it happen. We're a well-funded Series C company (backed by General Catalyst, SignalFire, and Sapphire Ventures) on a mission to heal a fragmented system. Our platform connects the dots between providers, payors, and patients, ensuring people get the high-quality care they need, reliably and right where they live. We’re growing fast and looking for people who are driven by this mission to join us! Our Values: The Principles That Guide Us We're building more than a product; we're building a culture. Our values are the operating system for how we work together and with our partners. They aren't just words on a wall; they are the principles we bring to every decision, every day. * We are transparent, upfront and direct. We operate with honesty and clarity. We share information openly, the good and the bad, and believe that direct, respectful feedback is the foundation of trust and progress. * We value speed of iteration. We are building something new, which means we learn by doing. We prioritize rapid iteration and getting solutions into the hands of users, believing that progress is more valuable than perfection. * We give 110% effort, 30% of the time. We are passionate about our mission, and there are moments that require us to go the extra mile. We believe in focused intensity when it counts, balanced by a sustainable pace that keeps our team energized for the long run. * We empathize with customers to a fault. When our users face a problem, we own it. Instead of asking them to change, we ask ourselves, "How can we make this better?" We believe true innovation comes from deep empathy and a relentless focus on solving the real-world challenges of healthcare. Your Impact: How You'll Help Us Heal a Broken System This isn't just a job; it's a chance to build something that matters. As a Sr. Front End Engineer, you'll be shaping the future of at-home care. You'll be a key part of the team, working to architect and build meaningful experiences for our patients and providers alike. What You'll Achieve: A Glimpse into Your Contributions Within your first year, you will have the opportunity to: * Take ownership of our front-end architecture, establishing best practices and setting the technical direction for all future development. * Lead the design and implementation of highly complex and interactive features, such as our intricate order forms, ensuring a seamless and intuitive experience for our clinical users. * Develop a deep understanding of our users' workflows and translate their needs into robust, scalable, and opinionated front-end solutions. * Serve as the technical leader and mentor for front-end engineering, shaping the culture of the team and leveling up our approach to user interface development. * Drive the evolution of our state management strategy in React, ensuring our applications can handle intensive logical states and real-time data with grace and performance. What You'll Bring: Skills and Experience Required We believe that diverse experiences and backgrounds lead to better solutions. While we have an idea of what will help someone succeed in this role, we are open to being convinced by your unique story and skills. If you believe you can achieve the outcomes above, we encourage you to apply. Core Skills & Experience: * Expertise in React is a mandatory requirement. You have extensive experience building, deploying, and maintaining complex applications with it. * At least 5 years experience building, shipping, and maintaining complex front end applications in a production environment. * Proven experience in a technical leadership capacity, with a demonstrated ability to guide engineering decisions and mentor other developers. * Deep knowledge of modern state management libraries and patterns within the React ecosystem. * Excellent communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences. * An opinionated and thoughtful approach to front-end development, with a passion for creating high-quality user experiences. Our Team & Our Tools You'll be joining the Engineering team, a group of talented innovators who value pragmatism, simplicity, and speed of execution. We collaborate closely and believe the best ideas can come from anywhere. The tools and technologies you'll use include: * Languages: Typescript, Python * Frameworks: React, GraphQL * Infrastructure: AWS, Postgres The Rewards & Reality: Compensation, Benefits & Logistics We believe in taking care of our team, both professionally and personally. Here’s what we offer: * Meaningful Compensation: $150,000-$205,000 base salary + equity * Comprehensive Health & Wellness: We cover 100% of your health insurance premium and provide access to high-quality dental and vision insurance plans for you and your dependents. * Plan for the Future: We offer a 401(k) plan to help you save for your future. At this time, the company does not offer a 401(k) match. * Career Growth: You'll have opportunities for rapid career advancement in a company that's at a major inflection point. We want you to grow with us. Work Environment & Location: * For NYC Roles: This role is based in our New York City office in Chelsea. We have a hybrid model, with a requirement of 4 days per week in the office to foster collaboration and innovation. * For SF Roles: This is a unique opportunity to be a founding member of our new San Francisco hub. This role will begin as remote for candidates based in the Bay Area. As we finalize our downtown SF office (expected in the coming months), this role will transition to a hybrid model, with a requirement of 4 days per week in the office. You will play a critical role in shaping the engineering culture and team structure of our West Coast presence. Please note that at this time, we are not able to provide visa sponsorship for this position. All candidates must be authorized to work in the United States. Our Pledge for an Equitable Future At Verse Medical, our mission is to deliver equitable, hospital-quality care to everyone, regardless of their background or where they live. We can only achieve this if our own team reflects the diversity of the patients we serve. We are committed to building a workplace where everyone feels a sense of belonging, where their contributions are valued, and where they can do their best work. We embrace diversity of all kinds—race, gender, age, religion, identity, experience—and are actively working to build a more inclusive and equitable world, starting from within our own walls. We are an equal opportunity employer. We are also committed to providing a positive and accessible interview experience. If you require any accommodations to participate in our process, please contact us at . Compensation Range: $160K - $205K

Job DescriptionREMOTE- Sr. Backend Engineer (Python) • Job Title: Sr. Backend Engineer (Python), • Location: REMOTE, • Salary: $150,000 - 200,000 + Equity, • Requirements: Python with FastAPI framework, MongoDB for data storage, Google Cloud Platform, Docker, RESTful API, CI/CD, AI/ML services Position Overview We are seeking a skilled Sr. Backend Engineer with expertise in Python to join our remote team. The ideal candidate will be responsible for designing and implementing robust backend systems, ensuring high performance and responsiveness to requests from the front-end. You will work closely with cross-functional teams to build scalable microservices and maintain our database systems, contributing to our agile development process. We are a new social media app backed by Silicon Valleys biggest VCs. Our app has been downloaded over 1 million times! Key Responsibilities • Design, develop, and maintain backend systems using Python., • Implement RESTful APIs and microservices architecture., • Manage database systems, including SQL and NoSQL databases like MongoDB., • Collaborate with front-end developers to integrate user-facing elements with server-side logic., • Participate in agile development processes, including sprint planning and code reviews., • Utilize Docker and Kubernetes for containerization and orchestration of applications., • Implement version control practices using GIT., • Write and maintain unit tests to ensure code quality., • Establish CI/CD pipelines to automate testing and deployment processes., • Bachelor's degree in Computer Science or a related field., • 5+ years of experience in backend development with Python., • Strong experience with RESTful APIs and microservices., • Proficiency in database management, both SQL and NoSQL (MongoDB preferred)., • Familiarity with Agile methodologies and software development life cycle., • Experience with Docker and Kubernetes for container management., • Solid understanding of version control systems (GIT)., • Proficient in unit testing and CI/CD practices., • Experience with cloud services, particularly Google Cloud and cloud storage solutions., • Competitive salary, • Equity upside, • Individual Health Insurance, • Unlimited PTO, • Exciting start up culture - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 06/12/2025 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job DescriptionFounded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! This position is based in New York, NY and open to candidates in Boston, MA; and the Washington, D.C. area. What You Will Do • Deliver data science and/or machine learning professional services to the customers. This will entail working closely with cross-functional teams to gather requirements, preprocess, and analyze data to develop data-driven solutions., • Support customers by helping to build custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with H2O Driverless AI and help improve training performance for the customer use cases/domains., • Ability to design and run training sessions for our customers in data science concepts as well as using H2O products. Training will need to be able to be delivered to audiences with varying data science skills and abilities., • Help customers understand the nuances of data science, expert settings of H2O Driverless AI and H2O open source, and the strategies of experiment tuning that you would use to incrementally improve model performance. This also includes explaining model performance, model interpretability, and post deployment model monitoring concepts so as to ensure the business is making the right decisions on the model predictions., • Participate in the development of ML solutions and AI applications for internal use, contributing to the advancement of our technology stack.What We Are Looking For, • Proven experience in software engineering, data science, machine learning, and AI with a minimum of 2 years of professional hands-on experience., • Knowledge and experience of using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques., • Knowledge and experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) for practical applications., • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc., • Solid understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines, • Interest in Generative AI and Large Language Models (Prompt Engineering, Retrieval Augmented Generation, LLMOps, Making custom LLM models, fine tuning etc, Guardrails), • Strong problem-solving skills and the ability to work independently and as part of a team., • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.How To Stand Out from the Crowd, • Experience with solving machine learning problems using H2O products , Python, R., • Experience of visualizing and presenting (EDA) to stakeholders using H2O Wave, or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi., • Understanding and experience with post production model monitoring concepts and tools like H2O ML Ops MLFlow etc.Why H2O.ai?, • Market Leader in Total Rewards, • Remote-Friendly Culture, • Flexible working environment, • Be part of a world-class team, • Career Growth, • Salary range: $150,000 - 200,000 +H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR fxUNqxPx8q

Job Description Captions is the leading AI video company—our mission is to empower anyone, anywhere to tell their stories through video. Over 10 million creators and businesses have used Captions to simplify video creation with truly novel and groundbreaking AI capabilities. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Technology Mirage Announcement our proprietary omni-modal foundation model Seeing Voices (technical paper) generating A-roll video from audio with Mirage Mirage Studio for generating expressive videos at scale "Captions: For Talking Videos” available in the iOS app store Press Coverage Lenny’s Podcast: Interview with Gaurav Misra (CEO) Latest Fundraise: Series C Announcement The Information: 50 Most Promising Startups Fast Company: Next Big Things in Tech Business Insider: 34 most promising AI startups TIME: The Best Inventions of 2024 Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role: Captions is seeking a Machine Learning Engineer to partner closely with our Researchers and bring large-scale multimodal video diffusion models into production. You’ll be responsible for optimizing and deploying state-of-the-art generative models (tens to hundreds of billions of parameters) to deliver low-latency, high-throughput inference at scale. This is a unique opportunity to work on cutting-edge AI—spanning audio-video generation, diffusion architectures, and temporal modeling—and ensure these innovations reach millions of creators worldwide. Responsibilities: * Inference & Deployment * Develop high-performance GPU-based inference pipelines for large multimodal diffusion models. * Build, optimize, and maintain serving infrastructure to deliver low-latency predictions at large scale. * Collaborate with DevOps teams to containerize models, manage autoscaling, and ensure uptime SLAs. * Model Optimization & Fine-Tuning * Leverage techniques like quantization, pruning, and distillation to reduce latency and memory footprint without compromising quality. * Implement continuous fine-tuning workflows to adapt models based on real-world data and feedback. * Production MLOps * Design and maintain automated CI/CD pipelines for model deployment, versioning, and rollback. * Implement robust monitoring (latency, throughput, concept drift) and alerting for critical production systems. * Performance & Scaling * Explore cutting-edge GPU acceleration frameworks (e.g., TensorRT, Triton, TorchServe) to continuously improve throughput and reduce costs. Requirements: * Technical Expertise * Proven experience deploying deep learning models on GPU-based infrastructure (NVIDIA GPUs, CUDA, TensorRT, etc.). * Strong knowledge of containerization (Docker, Kubernetes) and microservice architectures for ML model serving. * Proficiency with Python and at least one deep learning framework (PyTorch, TensorFlow). * Model Optimization * Familiarity with compression techniques (quantization, pruning, distillation) for large-scale models. * Experience profiling and optimizing model inference (batching, concurrency, hardware utilization). * Infrastructure * Hands-on experience with ML pipeline orchestration (Airflow, Kubeflow, Argo) and automated CI/CD for ML. * Strong grasp of logging, monitoring, and alerting tools (Prometheus, Grafana, etc.) in distributed systems. * Domain Experience * Exposure to diffusion models, multimodal video generation, or large-scale generative architectures. * Experience with distributed training frameworks (FSDP, DeepSpeed, Megatron-LM) or HPC environments. Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Doordash DashPass subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $175K - $275K

Job Description COMPANY: Canoe Intelligence WEBSITE: TITLE: Senior DevOps Engineer LOCATION: New York City (hybrid) or Fully Remote in the United States SALARY: $140,000 - $165,000 (based on NYC, will be adjusted for geo) The Role: As a Senior DevOps Engineer you will be a part of our internal platform team, working alongside other DevOps and Software Engineers to build and maintain the underlying AWS infrastructure and tools that power Canoe’s suite of applications and services. A successful candidate for this role is someone who enjoys creating tools to empower the broader engineering team to write reliable, robust, scalable, and maintainable code. As a Senior DevOps Engineer you recognize that communicating with people is as important as writing code. What You’ll Do: • Take ownership of Terraform repositories to expand existing AWS infrastructure and implement new modules., • Design and build CI/CD pipeline enhancements using industry leading tools and development standards., • Operationalize our observability tools like Datadog and our alerting process to enable engineers, product, and support staff to identify and triage issues quickly., • Collaborate with the engineering team to encourage scalable and fault-tolerant engineering practices using the tools that you’ve built and the shift left mindset., • 5+ years of experience in DevOps, Infrastructure Engineering, or SRE., • Experience with AWS services such as Route 53, ELB, API Gateway, VPC, EC2, S3, RDS, ECS Fargate., • Experience with CI/CD pipelines, infrastructure automation, application and infrastructure security, and site reliability engineering., • Experience with Git version control best practices, networking, Linux, and Bash scripting, • Hands-on experience Terraform, Infrastructure as Code concepts., • Proficient in one or more programming languages (Python, TypeScript, etc.)., • Understanding of the design process and SDLC as it pertains to automated testing., • Familiarity with monitoring tools such as Datadog, CloudWatch etc., • Strong project management and communication skills combined with strong attention to detail., • Ability to easily adapt to changing priorities and anticipate team needs., • Ability to lead mission critical long term initiatives across multiple cross-functional teams., • Willingness to work with and improve code you did not originally write., • Contribute to a collaborative environment by mentoring and learning from other engineers. Preferred: • Familiarity with Python, TypeScript., • Familiar with SQL and non-relational databases like DynamoDB., • Familiar with OOP, MVC, and other commonly used design patterns., • Prior experience with supporting engineering teams in a fast-paced product centric environment is a plus. What You’ll Get: • Medical, dental, vision benefits, • Flexible PTO, • 401(k), • Flexible work from home policy, • Home office stipend, • Employee Assistance Program, • Gym/Wifi reimbursement, • Education assistance, • Client First —> Listen, and deliver client-centric solutions, • Be An Owner —> Take initiative, improve situations, drive positive outcomes, • Excellence —> Always set the highest standard for yourself and others Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Job DescriptionDevOps / Site Reliability Engineer (Remote) Location: Remote (US-based) Reports to: CTO, SportsRecruits About SportsRecruits SportsRecruits is the leading sports recruiting network, connecting athletes, clubs, events, and college coaches in the recruiting process. The company’s network and tools are trusted by sports organizations such as the IWLCA, IMLCA, NFHCA, and Junior Volleyball Association. Every year, millions of connections are made on the network, resulting in commitments to the best academic and athletic institutions. SportsRecruits is part of IMG Academy, the world's leading sports education brand. IMG Academy provides a holistic education model that empowers student-athletes to win their future, preparing them for college and for life. IMG Academy provides growth opportunities for all student-athletes through an innovative suite of on-campus and online experiences: • Boarding school and camps, via a state-of-the-art campus in Bradenton, Fla., • Online coaching via IMG Academy+, with a focus on personal development through the lens of sport and performance We’re looking for a DevOps / Site Reliability Engineer to join our team. You will play a key role in ensuring that our systems are efficient, reliable, and scalable, while helping us improve developer productivity and application performance. You’ll collaborate closely with developers, QA, product, and our cloud security engineer to streamline builds and deployments, maintain application infrastructure, and proactively solve issues before they impact our users. Our stack includes: • Laravel + PHP8 backend APIs, • Vue.js (v2 and v3) + Inertia.js + Tailwind frontend, • React Native mobile applications, • Python for internal tools and ML/LLM-based features, • Infrastructure as code managed by Terraform, • AWS ECS Fargate, AWS RDS, AWS ECS, SQS, MediaConvert, and more, • CI/CD & Deployments, • Configure, manage, and improve Bitbucket pipelines for deploying our applications to staging and production., • Improve CI pipeline speed, reliability, and security in collaboration with our Cloud Security Engineer., • Assist developers and QA teams with deployments., • Work with Docker and AWS ECR for container builds and deployment workflows., • Monitoring & Incident Response, • Review and investigate system issues flagged by Sentry, NewRelic, and CloudWatch., • Monitor application performance, identify bottlenecks, and propose solutions., • Respond to production and staging issues, including database latency, unresponsive resources, or failed jobs., • Environment & Infrastructure Management, • Maintain and support non-production environments used by developers and QA., • Maintain and improve AWS infrastructure and Terraform resources., • Perform updates and upgrades to AWS services as needed to ensure reliability and ability to scale., • Collaboration & Continuous Improvement, • Partner with engineers to design systems that are scalable, observable, and resilient., • Work closely with our cloud security engineer to ensure secure configurations in CI/CD, AWS, and containerized workloads., • Contribute ideas and improvements to workflows, automation, and monitoring strategies. About YouMust-Haves:, • 3+ years of experience in DevOps, SRE, or related engineering roles., • Strong experience configuring CI/CD pipelines (Bitbucket Pipelines, GitHub Actions, or similar)., • Experience configuring, debugging and deploying PHP applications, • Hands-on experience with Docker and AWS ECR for container builds and deployments., • Strong experience with AWS services (EC2, RDS, ECS, Lambda, etc.) and Terraform for infrastructure as code., • Familiarity with monitoring and observability tools such as New Relic, Sentry, CloudWatch, or similar., • Strong troubleshooting skills for debugging performance issues in databases, applications, and distributed systems., • Experience with modern software development workflows (agile teams, code reviews, branching strategies)., • Strong scripting and automation skills (Bash, Python, or similar)., • Experience with ECS orchestration., • Familiarity with PHP/Laravel or JavaScript/React/Vue applications., • Previous experience supporting high-traffic SaaS platforms., • Laravel, Vue, or TailwindCSS experience, • Familiarity with containerized deployments (Docker, ECS, etc.), • Experience working with 3rd-party APIs and async job queues (SQS, Redis), • Knowledge of AI tooling, LLM integration, or computer visionWhy Join Us?, • Meaningful Work: Help shape a platform that impacts thousands of student-athletes’ futures., • Modern Stack: Work with Laravel, Vue, React Native, Python, and AWS, backed by great tooling and infrastructure., • Growth-Oriented Culture: We prioritize learning, experimentation, and continuous improvement., • Competitive salary: $100,000 – $145,000 per year, • Remote-first team culture, • Health, dental, and vision coverage, • 401(k) with company match kxmgntuxQ2