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Senior Technology Site Reliability Engineer Cooley is seeking a Senior Site Reliability Engineer to join the Infrastructure & Development Operationsteam. Position summary: The Senior Technology Site Reliability Engineer("SRE") is responsible for ensuring the reliability, scalability, and performance of the firm's critical infrastructure and applications. The SREblends software engineering with systems engineering to build and maintain automated, resilient, and observable systems that support high availability and operational excellence. In addition to being technically advanced, the SRE will have a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Monitor and maintain production systems to ensure high availability and performance, • Implement and manage service-level indicators (SLIs), objectives (SLO's), agreements (SLA's), and error budgets, • Participate in on-call rotations and incident response, including root cause analysis and postmortems, • Develop and maintain infrastructure as code (IaC) using Terraform, • Automate deployment, scaling, and recovery processes to reduce manual intervention, • Partner with DevOps to build and maintain CI/CD pipelines to support safe and efficient software delivery, • Implement observability solutions using metrics, logs, traces, and alerting systems (Prometheus, Grafana, DataDog, etc.), • Proactively identify and resolve system bottlenecks and reliability risks, • Work closely with Infrastructure, DevOps, Development, and security teams to embed reliability into the development lifecycle, • Contribute to a culture of blameless post-mortems and continuous improvement, • Document operational procedures and share knowledge across teams, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 6+ years direct applicable experience (e.g. site reliability engineering or related field), • Proficiency in Terraform and programming languages such as Python, Go, or Java, • Deep expertise in cloud platforms, particularly AWS, and container orchestration, • Strong background in distributed systems, performance tuning, and automation, • Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline, • Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow, • Experience with IaC deployment of AKS/EKS/GKE architecture, • Experience with enterprise Data Lake environments using technologies such as DataBricks or Snowflake Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, experience performing advanced troubleshooting and root cause analysis of complex technical issues, • Excellent organizational, planning, and time management skills and ability to work independently and in a team environment to manage competing priorities and meet deadlines, • Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely EOE. The expected annual pay range for this position with a full-time schedule is $140,000 - $205,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Job Description: Overview: We don't simply hire employees. We invest in them. When you work at Chatham, we empower you - offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day. Chatham Financial is looking for an AI Solutions Engineer to design, build, and deploy custom AI solutions that address high-value business workflows. This is a hybrid technologist and trusted advisor role.You'llwork closely with stakeholders to understand operational challenges and build AI-powered solutions that create measurable value.You'llown problems end-to-end-from discovery through production. This is a hybrid technologist and trusted advisor role.You'llembedwith client teams, understand their operational challenges, and build AI-powered solutions that create measurable value. Think startup CTO meets management consultant-you'llownproblems end-to-end. What You'll Do: Client Engagement * Work directly with private equity firms, real estate investors, and capital markets clients to understand their workflows andidentifyAI opportunities * Lead discovery conversations to uncover pain points and scope solutions * Present recommendations to both technical and executive stakeholders Solution Design & Architecture * Architect custom AI solutions including workflow automation, data extraction, intelligent reporting, and AI agents * Evaluate when to use LLMs vs. traditional ML vs. rule-based approaches * Design systems that integrate with existing client infrastructure Hands-On Building * Write production code-Python, modern web frameworks, LLM integrations (OpenAI, Anthropic, etc.) * Build RAG systems, agentic workflows, and custom AI applications * Own the full stack from data ingestion to user interface Rapid Prototyping * Build working prototypes in days/weeks, not months * Validate value quickly with real users and real data * Iterate based on feedback and measured outcomes Production Deployment * Take solutions from prototype to production * Ensure reliability, security, and maintainability * Support ongoing optimization and enhancement Contributors to your success: * 7+ years of software engineering experience, ideally with client-facing or consulting exposure * Strong programming skills in Python; experience with TypeScript/JavaScript a plus * Hands-on experience building with LLMs (GPT, Claude, etc.)-RAG, prompt engineering, fine-tuning, or agentic systems * Experience taking AI/ML projects from prototype to production * Excellent communication skills-can explain technical concepts to executives and collaborate with non-technical stakeholders * Comfortable with ambiguity-can scope problems, make decisions, and own outcomes end-to-end * Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent experience * Experience in financial services, private equity, or real estate * Background at a startup (especially as early engineer) or consulting firm * Experience with data pipelines, ETL, and working with messy enterprise data * Familiarity with cloud platforms (AWS, Azure, GCP) * Experience with vector databases, embeddings, and semantic search About Chatham Financial: Chatham Financial is the largest independent financial risk management advisory and technology firm. A leader in debt and derivative solutions, Chatham provides clients with access to in-depth knowledge, innovative tools, and an incomparable team of over 700 employees to help mitigate risks associated with interest rate, foreign currency, and commodity exposures. Founded in 1991, Chatham serves more than 3,500 companies across a wide range of industries - handling over $1 trillion in transaction volume annually and helping businesses maximize their value in the capital markets, every day. To learn more, visit___. Chatham Financial is an equal opportunity employer.

Title: AI Analytics Engineer Department: Analytics and Data Governance (ADG) Reports To: Director of Data Analytic Position Type: Staff Position Summary: The AI Analytics Engineer is responsible for the full lifecycle of data delivery, ranging from rapid-response (Level 1) data requests to deep data cleansing. In this role, you will convert raw institutional data into high-value "AI-ready" assets by engineering the semantic layers required for conversational interfaces and autonomous agents, ensuring these systems-whether purchased or built in-house-are accurately powered and correctly deployed. This role serves as a key technical advisor, making recommendations on whether to buy third-party tools or build custom solutions based on the specific requirements of the data and the desired AI interaction. As a central technical resource within a tiered data team, you will operationalize the data requirements designed by the Senior Data Scientist/AI Engineer while ensuring strict adherence to the institutional security frameworks and governance standards established by the Data Governance Lead. Essential Functions: -Works as a central technical resource within the Analytics and Data Governance team to ensure data integrity and model readiness. This includes: -Primary technical partner for the Senior Data Scientist and AI Engineer: Build and automate the data features and training sets required for predictive models, analytical tools, and AI models. Manage the technical relationship with AI vendors under the direction of the Director, ensuring appropriate deployment and integration of purchased tools. Actively evaluate and recommend "buy vs. build" strategies to ADG, identifying where purchased tools meet institutional needs and where unique data complexities require supplemental in-house engineering. -Operationalize governance standards established by the Data Governance Lead by applying approved data definitions, classification rules, access controls, and security requirements within transformation logic, semantic layers, and downstream data products. Maintain technical lineage and metadata needed to support compliant, governed, and reusable institutional data assets. -Serve as the primary technical liaison between the Office of Institutional Effectiveness, Business Intelligence, Integrations, and Digital Learning teams to ensure official reporting data and AI model outputs are seamlessly integrated into dashboards and applications, while documenting the transformation logic and technical dependencies required to maintain data integrity across all internal analytics use cases. -Manage the standardized intake process for Level 1 data requests by extracting, assembling, and delivering datasets from the data warehouse (Snowflake) in requested formats. -Develop practical tools, examples, and "how-to" documentation that help campus users access and use governed data correctly, supporting the transition from basic data requests to responsible self-service analytics and AI-assisted workflows. -Design and maintain governed semantic layers that provide a consistent, well-documented source of business meaning for both human-led BI and autonomous AI agent consumption. -Build and configure data interfaces (e.g., API endpoints or Model Context Protocols) that allow AI systems to reliably query institutional data. Manage the technical deployment and configuration of AI interaction layers to ensure appropriate integration with these interfaces. -Support lightweight Machine Learning Operations (MLOps) tasks including routine deployments, versioning, and API integration into application pipelines, ensuring complex architecture or infrastructure issues are escalated to the Senior Data Scientist/AI Engineer. -Perform extraction, transformation, cleansing, and documentation of datasets to ensure usability and clear lineage for downstream teams and AI use cases, coordinating with domain stewards to ensure all governed data meets institutional requirements. -Maintain all transformation logic and modeling code using version control (e.g., Git, Snowflake), ensuring a clearly documented and reproducible technical data catalog. -Implement automated testing, validation, and data quality checks to verify that data is accurate, consistent, secure, and reproducible across reports, semantic layers, and AI/ML data assets. Additional Functions: -Support data and AI literacy efforts by creating role-appropriate guidance, examples, and usage guardrails that help campus users interpret, access, and use governed data responsibly. -Keeps abreast of emerging technology trends in the modern data stack and the AI vendor landscape and takes an active interest in professional development to ensure skills stay current. -Identify recurring data definition conflicts, usage inconsistencies, and business-process issues encountered in technical implementation, and escalate them to the Data Governance Lead and domain stewards for resolution. Prerequisite Qualifications: -A Master's degree in Computer Science, Data Science, Software Engineering, Artificial Intelligence, or a related field. -Advanced proficiency in SQL and experience with cloud data warehouses (e.g., Snowflake). -Programming ability in Python or R for data manipulation and pipeline automation. -Experience with data manipulation libraries (e.g., NumPy, Pandas) and version control (e.g., Git, Snowflake). -Proficiency with data visualization tools (e.g., Strategy, Tableau). -Demonstrated ability to evaluate technical trade-offs and provide recommendations on software/tool selection. -Professional experience applying machine learning and statistical methods to real-world data, including the cleaning and preprocessing of large, complex datasets. -Demonstrated experience working with business domain stakeholders to interpret metrics and translate technical concepts into actionable business logic. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -At least three years of professional experience in data analytics, data engineering, or software engineering. -Working knowledge of data quality concepts, lineage, metadata management, and institutional governance processes. -Experience working with higher education ERP systems (e.g., Workday, Banner). -Experience in a higher education or research-intensive university setting. -Awareness of FERPA, GLBA, and responsible AI practices. -Familiarity with AI orchestration frameworks (e.g., LangChain). -Familiarity with project management frameworks in a technical environment. Bargaining Unit: PSA Range/Band: 26 Salary Information: In compliance with the NJ Pay Transparency Law, the negotiated annual salary range for this position is $73,502.29-$137,773.44 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Apply NowShare Save Job

• Perform delivery of projects and enhancements in support of the university's various enterprise systems and providing guidance to application developers including business analysis, high level design, detailed design, development, testing, implementation, and on-going maintenance of enterprise systems operations., • Assist with implementing reporting and analysis solutions., • Guide application developers on complex business systems analysis, software development, and information systems implementations and integrations to ensure successful delivery of planned projects., • Operate under firm deadlines managing multiple assignments concurrently and independently with minimal supervision., • Work closely with other teams within the Information Services & Technology division in solving ad-hoc information management issues using the most current information technologies available., • Assess the complexity of the solution, plan and manage the application delivery, guiding the work of other technical team members and managing task dependencies as applicable., • Lead the assessment, installation, configuration, integration, deployment, and ongoing support of the ERP and third party vendor applications, including cloud platforms., • Provide technical leadership and mentorship to application developers as well as perform hands-on technical tasks, collaborate and guide the team to identify, analyze and fix technical issues and challenges.___, • Respond to incidents, service outages and service requests in a timely manner as delegated by the Assistant CIO, CRM and Student Information Systems and the Associate CIO, Enterprise Applications, and collaborate with other technical team members, functional partners and vendors for problem resolutions., • Ensure application systems integrity by performing periodic software audits and maintain appropriate change control, test plans and code review documentation for audit purposes., • Collaborate with the Manager, Architecture and Integration to ensure new software integrations meet functional requirements, system compliance, and interface specifications., • Oversee the daily activities of project teams and liaison with team members, management, and campus partners to ensure the successful and timely delivery of project commitments., • Identify and mitigate risks and form appropriate contingency plans., • Research and propose systems enhancements, vendor solutions, process improvements and automations to address functionality gaps and meet new functionality demands and business needs and prepare documentation of rationale to share with team members and campus partners., • Participate in peer-reviews of solution designs and related code. Package and support deployment of releases. Work with team members in IST for migration of legacy applications., • Ensure quality of deliverables by establishing and following best practices and standards., • Perform other duties as assigned and as needed, including readiness to support after hours and weekends. Requires a Bachelor's degree in Electrical Engineering and 3 years of experience in job offered or 3 years of experience as a Software Engineer or any other job title performing the following job duties:, • Configuring and testing implementation of student information systems and/or patient vitals device capture equipment;, • Supporting the IT and enterprise information system needs of department heads;, • Developing workflows according to business requirements;, • Performing final user acceptance testing;, • Reviewing data quality issues;, • Analyzing and testing system solutions;, • Providing user support and troubleshooting with colleagues;, • Advising staff of system upgrades, releases and patches; and

The Senior Machine Learning Engineer serves as an individual contributor responsible for leading end-to-end development of machine learning solutions, from data and feature design through model deployment and monitoring. Certifications such as Google Professional Machine Learning Engineer, AWS Certi

Are you passionate about building AI systems that solve real operational challenges within the education sector? We're looking for a Senior Software Engineer to lead the vision setting for and deployment of AI solutions across Uncommon Schools—from intelligent agents that automate workflows to

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor’s Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1 years of experience building, scaling, and optimizing ML systems 1 years of experience with data gathering and preparation for ML models 2 years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3 years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3 years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Technology Development Operations Engineer Cooley is seeking a Senior DevOps Engineer to join the Infrastructure & Development Operations team. Position summary: The Technology Development Operations (DevOps) Engineer is responsible for building, maintaining, and optimizing the infrastructure and automation pipelines that support Cooley's custom application delivery. Working under the guidance of the Development Operations Manager, this role focuses on improving the efficiency, security, and reliability of the firm's hybrid cloud environments and CI/CD workflows. The engineer will collaborate closely with development, data, and infrastructure teams to ensure seamless integration and deployment of applications. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Build, configure, and maintain DevOps infrastructure across hybrid cloud environments (AWS, Azure, on-prem), • Develop and maintain Infrastructure as Code (IaC) using Terraform and related tools, • Implement and manage CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins, • Automate provisioning, configuration, and deployment processes to support rapid and secure software delivery, • Monitor system performance, availability, and security using tools like Datadog, AppDynamics, or New Relic, • Participate in incident response, root cause analysis, and postmortem documentation, • Support release management processes across Dev/Test/Prod environments, • Work with development and data teams to integrate applications into the DevOps-managed environment, • Attend stand-ups and planning sessions to stay aligned with product and infrastructure roadmaps, • Provide documentation and knowledge sharing for operational processes and tooling, • Consult peer teams for feedback during the design, testing, and implementation stages, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 6+ years of experience in cloud infrastructure and DevOps, • Proficiency in AWS or Azure architecture, configuration, and security, • Experience designing CI/CD pipelines using Azure DevOps, Jenkins, or GitHub Actions, • Strong Terraform skills, including use of Terragrunt and advanced workflows, • Hands-on experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD), • Familiarity with microservices deployment and release automation, • Experience deploying .NET Core containers on Linux and scripting in Linux/Windows, • Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch), • Bachelor's degree in Computer Science, IT, Engineering, or associated discipline, • Experience with ETL workflows and tools such as AWS EMR, Azure Synapse, Data Factory, Hive, Spark, or Airflow, • Experience deploying AKS/EKS/GKE via IaC, • Familiarity with enterprise Data Lake environments (e.g., Databricks, Snowflake) Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues., • Excellent organizational, planning, and time management skills and ability to work either independently and in a team environment to manage competing priorities and meet deadlines, • Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely, • Experience working with all levels of business professionals, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacy Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $155,000 - $220,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Lead Machine Learning Engineer (Gen AI, Python, Go, AWS). Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment. Use programming languages like Python, Go

Position Summary What You’ll DoAs a Deloitte Tax, AI Engineer Manager, you will oversee the design, development, deployment, and support of custom AI applications and modules to address key business needs. You will lead a team of engineers, drive project execution, manage stakeholder commu

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We are seeking a highly consultative and deeply knowledgeable Sales Engineer to become a vital resource within our sales organization. Financial Services space, including roles such as FinTech deployment, sales engineering, solutions architecture, product experience, or financial platforms. Serve as

Job Description About Syllo Syllo is on a mission to transform litigation. Our product is an AI-powered litigation workspace that enables lawyers and paralegals to safely harness the power of language models throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. We're looking for a Back-End Engineer who's excited to build and scale systems that power intelligent data experiences. If you're passionate about clean architecture, reliable APIs, and high-performance infrastructure — and you love working in a dynamic startup environment — we'd love to meet you. The Responsibilities • Design, build, and maintain Syllo's backend systems and APIs to support our data platform., • Collaborate closely with front-end engineers, product managers, and data teams to deliver scalable, high-quality features., • Write clean, maintainable, and well-tested code., • Work on system design and architecture to improve performance, reliability, and scalability., • Integrate data sources and third-party tools as needed to enhance platform capabilities., • Participate in technical design discussions, peer code reviews, and continuous improvement initiatives. Qualifications • 6+ years of professional engineering experience., • Strong programming skills in Ruby or Python., • Experience developing APIs using frameworks such as Ruby on Rails, Flask, or Django., • Proficiency with relational databases, full-text search engines, and/or vector databases., • Familiarity with distributed systems and cloud technologies (e.g., GCP, Pub/Sub, Kafka)., • Excellent communication and organizational skills, with the ability to collaborate effectively across teams and functions. Nice-to-Have • Experience with Docker, Kubernetes, or other containerization tools., • Knowledge of CI/CD pipelines, testing frameworks, and deployment automation., • Understanding of authentication, security, and data privacy best practices., • Experience working in a fast-paced startup environment. United States - Remote Pay Range$160,000—$200,000 USD

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs an ML Engineer at Radical AI, you will be responsible for developing machine learning systems, data pipelines, and large-scale training infrastructure. You will orchestrate entire machine learning lifecycles, but also data ingestion, enrichment, model exporting and serving, and much more. Your work will directly impact the development of an end-to-end AI-driven approach to materials discovery and development. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Develop, train, and deploy machine learning models to solve complex problems in materials science and lab automation., • Experiment with cutting-edge ML algorithms and techniques to improve performance and scalability., • Collaborate with researchers on the pre- and post-training stages of model development., • Conduct production-level deployments of our machine learning models and infrastructure., • Continually evaluate model performance and maintain production integrity., • Ensure reproducibility and traceability of models by leveraging version control systems and orchestration tools., • Contribute to research initiatives and participate in knowledge-sharing across teams., • Document workflows, experiments, and deployment procedures for future reference., • Tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, Engineering or a closely related field, or equivalent practical experience., • Proven record of accomplishment in building machine learning systems, working with large generative and/or language models, • An excellent understanding of machine learning infrastructure and systems fundamentals., • Strong background in algorithms, data structures, and software engineering principles., • Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching., • Proficiency in Python and relevant ML libraries (e.g., PyTorch), as well as tools for deploying ML models (e.g., MLflow, K8s, Docker)., • Passion for staying current with the latest trends in AI/ML technologies., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Familiarity with distributed computing frameworks such as Ray, Spark, etc., • Strong fundamental knowledge and practical experience using Linux systems, including working with large-scale computing clusters., • Hands-on experience with MLOps tools (e.g., Kubeflow, Seldon, CI/CD pipelines for ML)., • Familiarity with serverless architecture and cost optimization for ML workflows., • Strong publication record in top-tier AI/ML conferences or journals.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description As a Forward Deployed Engineer (FDE), you’ll be the bridge between product/engineering and customers. You will embed deeply with users, translate real-world use cases into technical solutions, and ship production-grade systems powered by AI. You’ll own deployment complexity, influence product direction, and drive high-impact customer-facing work. Responsibilities • Partner with customers to scope, design, and deploy AI systems that address real business needs., • Build and integrate production-ready AI applications with customer infrastructure., • Develop and deliver compelling demos and prototypes that showcase the capabilities of our AI system., • Ensure reliability, safety, and performance of deployed AI agents in production environments., • Strong full-stack development skills (Python, JavaScript, or similar), • Customer-facing or client delivery experience, • Proven ability to thrive in startup-style, resource-constrained environments, • Fast learner who adapts quickly to new technologies and shifting requirements, • High ownership mindset; ability to work independently and drive projects to completion, • Excellent communication with both technical and non-technical stakeholdersPreferred, • Experience deploying LLMs or other generative AI systems, • Background in NLP, computer vision, or multi-agent systems, • Sales or pre-sales engineering experience in high-growth environments

Job Description Continua has launched an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. Funded by Google and Bessemer Venture Partners, Continua is developing the future of socially-intelligent AI. We've seen rapid growth over the last quarter, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level. This is a hybrid position in New York, NY. We are onsite 3+ days per week. What you’ll do: * Design, build, and scale backend services and APIs using Python (and preferably Go) to power our AI agent platform. * Partner with ML engineers to integrate large language models (LLMs) into production systems. * Own feature development from ideation to launch: gather requirements, implement, test, and iterate. * Improve system reliability and scalability by enhancing testing, removing performance bottlenecks, and refining infrastructure. * Collaborate closely across disciplines, including with our CEO, product manager, and designer, to translate product goals into technical solutions. * Participate in on-call rotations and production maintenance to ensure a great user experience. Who you are: You are a Systems Software Engineer with a strong grasp of both backend and frontend systems. You balance technical depth with product intuition, building reliable, user-focused applications that scale. You’re comfortable moving quickly in a startup environment, collaborating across disciplines, and owning features from concept through deployment. You thrive in ambiguity, enjoy working with emerging AI technologies, and are based in New York City for a hybrid schedule. * 4+ years of infra / backend engineering experience. * Good understanding of database technologies, like SQL, Postgres, etc. * Strong intuition for product balancing user needs with technical constraints. * Comfortable working across the stack, from frontend to backend systems and data pipelines. * Familiarity with cloud architecture and deploying to cloud, particularly Google Cloud Platform (GCP) or Terraform * Able to work independently and handle ambiguity in a fast-paced startup environment. * Excited about the opportunity to tackle impossible problems. Bonus points if you have: * Experience integrating or deploying AI/ML models into user-facing products. * Background in real-time or conversational applications. * Prior experience in high-growth startups or developing products from 0 to 1. A little about us: Our team is a fantastic bunch of accomplished engineers and researchers from Google, Slack, Disney, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people. Compensation & Benefits: We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history! To apply: To apply, please complete the application and answer the short questions that follow. The more you answer, the better. If something doesn’t apply to you, feel free to say “N/A.” We welcome referrals! If you know someone exceptional for this role, please email us at .

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do The Field Engineering team at Weights & Biases plays a vital role in ensuring customer success and adoption of our platform. As part of this team, we partner with Sales, Support, Product, and Engineering to lead technical success after the sales process. We work closely with some of the most advanced AI teams in the world, helping them build, optimize, and scale their ML and GenAI workflows across industries such as computer vision, robotics, natural language processing, and large language models (LLMs). About the Role We're hiring an AI Solutions Engineer, Post-Sales to help customers solve real-world problems by enabling them to implement and scale ML pipelines and agentic workflows using Weights & Biases. In this role, you'll collaborate with engineering teams to ensure smooth onboarding and adoption, act as a trusted advisor on best practices, and represent the voice of the customer internally. You will partner directly with leading AI teams to optimize workflows, share technical expertise, and influence our product roadmap based on real-world customer feedback. This is an ideal opportunity for ML practitioners who are customer-focused and eager to work with top AI companies globally. Who You Are • 3–5 years of relevant experience in a similar role, • Strong programming proficiency in Python, • Hands-on experience enabling production-grade ML systems, with a focus on training and inference pipelines, experiment tracking, deployment patterns, and observability using deep learning frameworks (TensorFlow/Keras, PyTorch/PyTorch Lightning) and MLOps tooling (e.g. Airflow, Kubeflow, Ray, TensorRT)., • Familiarity with cloud platforms (AWS, GCP, Azure), • Experience with GenAI/LLMs and related tools (e.g. LangChain/LangGraph, HuggingFace Transformers, Pinecone, Weaviate), • Strong experience with Linux/Unix, • Excellent communication and presentation skills, both written and verbal, • Ability to break down and solve complex problems through customer consultation and execution, • Background in robotics, • TypeScript experience, • Proficiency with Fastai, scikit-learn, XGBoost, or LightGBM, • Background in data engineering, MLOps, or LLMOps, with tools such as Docker and Kubernetes, • You love collaborating with top AI teams to solve real-world ML and GenAI challenges, • You're curious about how to optimize AI workflows at scale, • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, 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 Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As the Staff Machine Learning Engineer (VP) on the ML Engineering team, you will be responsible for designing, deploying, and scaling advanced ML systems that power core business functions across the enterprise. Reporting to the Executive Director of ML Engineering, you will play a critical role in building production-grade ML infrastructure, reusable frameworks, and scalable model pipelines that deliver measurable business outcomes—ranging from cost optimization to top-line growth. You will act as a technical thought leader and strategic partner, shaping the organization's machine learning engineering practices and fostering a culture of operational excellence, reliability, and responsible AI adoption. Key Responsibilities: • Architect and deploy ML systems and platforms that solve high-impact business problems across regulated enterprise environments., • Lead the development of production-ready pipelines, including feature stores, model registries, and scalable inference services., • Champion MLOps best practices (CI/CD for ML, model versioning, monitoring, observability) to ensure models are reliable, reproducible, and cost-efficient., • Partner with Data Scientists to operationalize experimental models, enabling scalability and generalizability across diverse business domains., • Integrate emerging ML engineering techniques (e.g., LLM deployment, fine-tuning pipelines, vector databases, RAG systems) into enterprise-ready solutions., • Own the design of foundational ML platforms and frameworks that serve as building blocks for downstream AI applications., • Embed controls, governance, and auditability into ML workflows, ensuring compliance with regulatory standards and responsible AI principles., • Collaborate with Engineering, Product, and Security teams to embed ML-driven decision-making into enterprise platforms and workflows., • Define and track engineering and model performance metrics (latency, scalability, cost, accuracy) to optimize systems in production. Qualifications: • 8+ years of experience building and deploying machine learning systems in production environments at enterprise or platform scale., • Proven track record of leading ML engineering projects from architecture to deployment, including ownership of production-grade systems., • Deep expertise in ML frameworks and engineering stacks (TensorFlow, PyTorch, JAX, Ray, MLflow, Kubeflow)., • Proficiency in Python and at least one backend language (e.g., Java, Scala, Go, C++)., • Strong understanding of cloud ML infrastructure (AWS SageMaker, GCP Vertex AI, Azure ML) and containerized deployments (Kubernetes, Docker)., • Hands-on experience with data and model pipelines (feature stores, registries, distributed training, inference scaling)., • Knowledge of observability and monitoring stacks (Prometheus, Grafana, ELK, Datadog) for ML system performance., • Experience collaborating with cross-functional teams in regulated industries (finance, insurance, health) with compliance and governance needs., • Exceptional communication and leadership skills, with the ability to translate complex engineering challenges into clear business outcomes., • Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing, deploying, and integrating ML solutions in enterprise ecosystems., • Exposure to LLM and GenAI engineering (fine-tuning, vector search, distributed inference)., • Experience optimizing GPU clusters, distributed training, or HPC environments., • Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services., • Drive AI transformation for some of the most sophisticated financial entities., • Competitive compensation, benefits, future equity options, and leadership opportunities. Position Location This is an onsite position based in Manhattan in New York City. Compensation The salary for this position is $290,000-$300,0000. A discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job DescriptionA major financial services company in NYC is growing its team rapidly, and they are looking for a Senior DevOps Engineer / Site Reliability Engineer who can join. If you’re passionate about high-availability, reliability, automation, we’d be excited to talk to you. Some technologies we are currently using: Linux, Docker, Terraform, Ansible, Java, Spring Boot, PostgreSQL, RabbitMQ, Keycloak, HAProxy, ELK Stack, InfluxDB, Telegraf, Grafana, Jenkins, Nexus, SonarQube, OpenVPN. Hope you’ll enjoy doing the following on a daily basis: • Documentation: Write specifications and documentation for the server-side features, • Development: Develop tools to help deploy and maintain our products., • Project planning: Share knowledge of possible configurations, risk, impact, and costs vs. benefits. Communicate operational requirements and development forecasts., • Testing: Test code, processes, and deployments to identify ways to streamline and minimize errors., • Deployment: Use configuration management software to automatically deploy updates and fixes into the production environment., • Maintenance and troubleshooting: Perform routine application maintenance to ensure the production environment runs smoothly. Develop maintenance requirements and procedures., • Performance management: Recommend performance enhancements by performing analysis, identifying alternative solutions, and assisting with modifications.Our team can get you up to speed if you have the fundamentals below:, • Have experience in Linux systems administration and understanding of how load balancers, web servers, databases, caching daemons, etc. work., • Have experience in shell scripting and one on more interpreted languages (ruby, python, Perl, etc), • Have excellent written and verbal communication skills., • Are pragmatic, iterative, and customer-driven., • Are organized, self-starting, and resourceful. You know how and when to ask for help., • Truly enjoy reduplicating work, automating processes, and improving the bus-factor whenever possible., • Are curious and desire to learn.

Job DescriptionPosition Summary The AI/Cloud Security Engineer is responsible for testing, installing, configuring, and maintaining cloud security solutions/tools. Additionally, AI/Cloud Security Engineer communicates findings, incidents, and concerns to security team members and leadership in a timely manner. The AI/Cloud Security Engineer should possess a strong background in AI usage to secure MedReview’s Cloud and AI Infrastructure. This role is onsite Monday - Thursday and remote on Fridays. Job Responsibilities: • Standardizing Azure Security best practices, processes, and procedures., • Experience using AI/ML-driven security tools for anomaly detection, behavioral analysis, bias testing, and threat intelligence correlation., • Ability to design, deploy, and tune AI-based security models to identify malicious traffic, lateral movement, and zero-day threats., • Proficiency in integrating AI-powered SIEM, SOAR, NDR, and XDR platforms to automate incident detection and response., • Knowledge of adversarial AI risks, including model poisoning, evasion attacks, and data integrity threats, and how to mitigate them., • Experience using AI to reduce false positives, prioritize alerts, and improve mean time to detect (MTTD) and respond (MTTR)., • Extensive Knowledge of utilizing and implementing Microsoft Purview and all its features. DLP, Auditing, etc., • Microsoft Entra Internet Access, Microsoft Entra Private Access, and Global Secure Access, • M365 Compliance and Security Centers, • Collaborating with team members to develop and document security standards and policies that align with industry’s best practices., • Finding gaps with the current security posture and assisting with finding new security products, installation, configuration, and policies & procedures., • Monitoring cloud infrastructure for security breaches. Security incident response and forensic investigation., • Investigations into how incidents and/or breaches occur and Root Cause Analyses (RCA) as a member of the incident response team., • Participation in security tabletop exercises.Required Experience:, • Very strong hands on 5-10 years' experience in Cloud Information Security and AI Security Engineering., • Must demonstrate hands-on experience levering AI and machine learning technologies to enhance overall security., • Strong Identity and Access Management (IAM), Role-Based access Control (RBAC) experience, • Strong Purview Environment Experience, • Experience monitoring Cloud Infrastructure and systems for security breaches or intrusions and working with SOC team to remediate., • Experience in some specific vertical industry (Healthcare) preferred., • Documentation of security tools, deployment configuration, incident reports, etc., • CISSP, CISM, CISA, CCSP, ITIL, IaaS, PaaS, SaaS, Azure Security Engineer Associate, or other related certification preferred., • Ability to communicate technical information in a clear manner, both written and verbally, to end users, • Experience with HIPAA, HITRUST, ISO 42001 ISO 27001, ISO 27002, URAC regulations and awareness and/or experience with CMS, NIST and other healthcare related regulations preferred., • Availability to work nights and weekends during (un)planned outages and other special circumstances, with 24/7 accountability., • Availability to enter on call rotation. FZS0onPR06

Job Description At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune’s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role At Commure, our engineering team is at the forefront of revolutionizing healthcare technology by building and scaling the systems powering our suite of healthcare products. We are looking for a talented Staff Backend Engineer to help us craft user-friendly, responsive, and secure interfaces that operate reliably at scale and enhance the healthcare experience for both providers and patients. If you are a builder and love working on important, exciting problems in healthcare and love shipping quickly, come join us! What You’ll Do * Influence and craft the roadmap for teams, ensuring technical excellence and an engineering organization that scale reliably with the business * Be a part of a tremendously fast-paced team that celebrates large ambition and making decisions quickly * Work across the entire technology stack, including but not limited to Python, Go, FastAPI, Flask, and other frameworks * Lead technical planning and execution for new features, balancing technical feasibility, usability, and business impact * Design and refine systems to enforce best practices for code quality, testing, and deployment * Collaborate with product managers, designers, and clinical experts to translate requirements into intuitive and efficient UI solutions * Work directly with customers to solve their issues daily What You Have * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experience * 8+ years of professional experience in software development industry experience * Strong Backend Programming Skills (We use Python and Go) * General Understanding of Containers and Cloud (Docker, Kubernetes) * Strong debugging and problem-solving skills and a history of demonstrated resourcefulness * Track record of making successful architectural decisions to deliver multi-month, high-impact projects * Strong communication skills and the ability to interface with both technical and non-technical stakeholders * Experience in environments where you have to ship quickly. We move fast and deploy daily. * Excitement to work in a high-impact field with a builder attitude! * Attention to detail around user experience and customer needs * Growth mindset and a motivation to grow Commure is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $200K - $250K

Job DescriptionAbout Us: Versana is an industry-backed data and technology company on a mission to transform the syndicated loan market. By digitally capturing agent banks’ data on a real-time basis, Versana provides unprecedented transparency into loan level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our centralized platform, participants can rest assured they are accessing the loan market’s most credible source of deal information. With the support of our investors, Versana is fast becoming the technology of choice to usher in the modernization of the syndicated loan market. About You: Versana is looking for a motivated Full Stack Software Engineer to join our Application Development squad. The squad’s goal is to create, enhance and maintain Versana’s real-time syndicated loan platform. The application front-end presents a streamlined interface which provides clients access to real-time loan data and positions. The Full Stack Software Engineer will work closely with seasoned technology leaders and colleagues with broad and varied backgrounds in a dynamic, agile environment. You must have a passion for building intuitive applications and a strong understanding of front-end technologies and best practices. You must also have experience in designing, developing, and deploying secure, performant, and scalable backend services in a cloud environment. You will play a key role in all stages of Versana’s data platform development, from ideation through deployment and support.Responsibilities: • Develop and own front and back-end applications for our platform., • Work with Product and UX to address client needs with high-impact and high-visibility solutions., • Write clean, maintainable and well-documented code., • Build test automation across the full stack of our software., • Optimize the applications for performance and scalability., • Develop and maintain our design system., • Help setup the technical foundation and culture for the Application Development squad., • Help onboard and mentor new team members.Must Have:, • BS or BA in Computer Science or related field., • 5+ years of full stack development experience (backend with Java/Spring Boot, front-end with React/Angular (TypeScript/JavaScript)., • Good understanding of application architecture and performance optimization., • Adeptness at using build and development tools (Git, Maven/Gradle, Artifactory)., • Experience with REST APIs and GraphQL., • Experience working with Databases (SQL and NoSQL)., • Ability to partner with multi-functional teams and pivot quickly., • Curiosity and willingness to learn new things., • Strong communication, analytical and problem-solving skills. Nice to Have:, • Knowledge of Docker, Kubernetes and CI/CD pipelines., • End-to-end testing knowledge (Cypress/Selenium/Cucumber etc.)., • Exposure to third-party libraries (AG grid, D3 etc.)., • Familiarity with design systems (UI components, animations/transitions, accessibility)., • Experience with public cloud computing., • Knowledge of Syndicated Loans or Leveraged Finance.

Job DescriptionAbout Clarion The hardest part of healthcare shouldn’t be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn’t a failure of care - it’s a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. We’ve raised $5.5M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We’re an in-person team based in New York City, moving quickly to ensure every patient gets the care they need. Why Join Us? * Solving a real-world challenge: We’re addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients. * Early-stage with strong market validation: We’ve seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company. * Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. * Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture. What You'll Be Working On * Serving as the CEO's right hand to drive priority initiatives, track progress against goals, and identify operational bottlenecks * Managing our AI agent deployment pipeline from initial customer onboarding through ongoing optimization * Building and documenting scalable processes for customer implementation, quality assurance, and ongoing support * Creating dashboards to track key metrics across customer success, AI agent performance, and business operations * Managing vendor relationships and evaluating new tools to support our growing operations Requirements * 2-4 years of experience in consulting, investment banking, business operations, or high-growth startups * Clear communicator who builds trust easily with healthcare customers and team members * Experience managing projects from start to finish and coordinating across different areas * Good with numbers and able to spot trends that help guide business decisions * Excited to work in-person at our NYC office You are a good fit if * You're highly organized and can balance multiple strategic initiatives while maintaining a clear view of company priorities * You're proactive about identifying both risks and growth opportunities across the business * You're comfortable working in a fast-paced environment and can adapt your approach as company needs evolve * You're naturally curious about healthcare workflows and passionate about improving them with technology * You take ownership of outcomes and measure your success by company and customer metrics What we offer * Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches * Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team * Impact at scale: Work that builds the infrastructure to help millions of patients access care Interview Process At each stage, we decide within 24hrs and update you shortly after: * First Chat (15min) [Virtual]: A casual conversation about the role and your experience to see if there's a good initial fit. * Experience Deep Dive (45min) [Virtual]: We'll explore your operational experience, how you've managed complex projects, and your approach to building scalable processes. * Team Day (Half-day) [In-Person]: Visit our New York office to meet with co-founders, team members, and potential collaborators. You'll work through operational scenarios, discuss strategy, and get a sense of our company culture and working environment. If you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you. Compensation Range: $100K - $150K

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Site Reliability Engineer - this is a fully remote role for US or Europe based candidates (as long as they can work EST hours) We are a fast-growing software company supporting and developing Hedera, an open-source, proof-of-stake, EVM-compatible public ledger built for enterprise and Web3 use cases. Hedera is governed by a global council of industry-leading organizations across multiple sectors and regions, ensuring long-term stability, decentralization, and sustainability. About the Role We are hiring a Senior Site Reliability Engineer to join the HashSphere engineering team. HashSphere is a greenfield, enterprise-focused distributed ledger platform built on Hiero, designed for private and consortium deployments with a strong emphasis on security, privacy, and scalability. This role is hands-on and high impact. You will own the design, deployment, and reliability of mission-critical, multi-region infrastructure used by large organizations across financial services, supply chain, and healthcare. You will partner closely with product, security, and platform leadership to shape architecture, reliability strategy, and operational standards from the ground up. This is not a support role. We are looking for someone who has operated real systems at scale, measured outcomes, and taken end-to-end ownership. What You’ll Do * Design, build, and operate highly available, multi-region distributed systems with clear recovery strategies and tested RTO/RPO. * Partner with the Head of SRE to define the reliability roadmap, platform architecture, and operational standards. * Own large-scale Infrastructure as Code using Terraform, including reusable modules, multi-account patterns, and policy guardrails. * Operate and scale Kubernetes environments (EKS, GKE, or AKS) using GitOps practices (ArgoCD), Helm, and strong RBAC and network policies. * Build and maintain secure CI/CD pipelines, including blue/green and canary deployments, promotion and rollback strategies, and artifact integrity (SBOM, signing). * Define and improve SRE practices, including SLOs, error budgets, observability, and measurable reductions in MTTR/MTTA. * Work closely with product and engineering teams to translate customer and business requirements into reliable, secure platform services. * Contribute to the operational support and continuous improvement of customer-facing HashSphere deployments. Required Qualifications * 7+ years of experience in SRE, platform engineering, or infrastructure engineering operating production distributed systems. * Strong multi-cloud experience (AWS, GCP, or Azure), with SME-level depth in AWS or GCP. * Proven experience running multi-region production systems, including disaster recovery testing, runbooks, and real incident ownership. * Deep, hands-on experience with Kubernetes at scale (EKS/GKE/AKS), including GitOps workflows and production-grade security controls. * Extensive experience with Terraform-first Infrastructure as Code in large, real-world environments (not POCs). * Strong security and compliance mindset, including Zero Trust principles, secrets management (Vault or cloud-native equivalents), and exposure to regulated environments (PCI, SOC 2, HIPAA, NIST). * Comfortable owning systems end to end, with clear metrics and outcomes to show impact. Nice to Have * Experience with distributed ledger or blockchain systems, particularly private or consortium deployments. * Familiarity with Hedera services such as HCS, HTS, Hedera SDKs, or the Smart Contract Service. * Understanding of EVM-based systems and smart contract tooling (Solidity, Hardhat). * Experience operating active-active, globally distributed architectures. * Prior experience supporting financial services or other highly regulated industries. Compensation & Package Equity & Tokens Performance Bonuses Health insurance & 401k for US employees only.

Job Description Changing Healthcare For Good At Angle Health, we believe the healthcare system should be accessible, transparent, and easy to navigate. As an AI-native, integrated healthcare company, we are replacing legacy systems with modern infrastructure to deliver members and patients the care they need when they need it. If you want to build the future of healthcare, we'd love for you to join us. The Role As an early fullstack engineer at Angle, you'll be at the forefront of building and launching products that directly impact both our members and internal teams. This role offers the opportunity to work across the stack—developing seamless user experiences, designing scalable APIs, and optimizing performance for mission-critical applications. You’ll own full product lifecycles, from ideation and system design to implementation and iteration. Working closely with customers, designers, and non-technical stakeholders, you'll help shape intuitive solutions that solve complex challenges. Whether it's refining frontend interactions, optimizing backend logic, or architecting new features from scratch, your contributions will be instrumental in driving Angle’s success. This is an ideal opportunity for engineers who love working on both frontend and backend, thrive in fast-paced environments, and want to see their work make a real-world impact. If you’re excited to build at scale and move quickly while maintaining high-quality engineering, we’d love to meet you. This position is based in our NYC office. Core Responsibilities * Build high-performing customer facing and internal products * Design and build delightful and innovative products that will be used by a wide variety of users * Write quality, performant, well-tested code in Python (Django), React, and Typescript * Drive technical projects from conception to launch, including architecture, design, implementation, testing, and deployment Additionally, you * Will work directly with the Head of R&D to set the standard of high quality products * Are an independent working and self-starter * Seek to understand the business strategy and needs of our users * Are product minded – Willing to participate in product and engineering discussions What We Value * 4+ years of fullstack engineering experience * Strong experience with React JS and TypeScript * Experience with Figma or similar design tools * Experience writing automated tests (unit tests, integration tests) * Strong Python experience * Experience in deploying and maintaining enterprise-scale applications in production * Familiar with building user-facing UIs * Excellent communication skills across teams * Strong foundation in designing and building web applications The salary range for this job opportunity is $100,000 to $240,000 per year, which is the amount Angle Health anticipates paying for this position at the time of this job posting. The actual base salary offered may differ and will depend on various factors such as geographic location, skills, qualifications, and experience, as well as internal equity. * Competitive compensation and stock options * 100% company-paid health, vision, and dental insurance — for you and your dependents * Supplemental Life, AD&D, and Short-Term Disability coverage options * Discretionary time off — take the time you need, when you need it * Opportunity for rapid career progression * 3 months of paid parental leave, plus a flexible return-to-work policy (after 12 months of employment) * Equinox membership, Monthly MetroCard, and Annual Citi Bike coverage for NYC office employees * 401(k) retirement savings plan * Company-provided lunch and dinner for in-office employees * More exciting benefits coming soon! About Us Backed by a team of world class investors, we are a healthcare startup on a mission to make our health system more effective, accessible, and affordable to everyone. From running large hospitals and health plans to serving on federal healthcare advisory boards to solving the world's hardest problems at Palantir, our team has done it all. As part of this core group at Angle Health, you will have the right balance of support and autonomy to grow both personally and professionally and the opportunity to own large parts of the business and scale with the company. Angle Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Angle Health is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. ⚠️ A Note on Recruiting Outreach We’ve been made aware of individuals falsely claiming to represent Angle Health using lookalike email addresses (like @anglehealthcareers.com). Please note that all legitimate emails from our team come from @anglehealth.com. We will never ask for sensitive information or conduct interviews via messaging apps. Compensation Range: $100K - $240K

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at the role: CoreWeave is seeking a Principal Product Manager for Developer Experience to define and drive the roadmap for our internal developer platforms and delivery tooling. You will work closely with engineering leaders in Common Services (Dev X Delivery, Dev X IDP, Cloud Experience, Observability, Data Services) and partner orgs to understand where engineers are losing time, translate those pain points into clear problem statements, and deliver opinionated solutions that scale. Your focus will be on measurable improvements to developer productivity and software delivery outcomes, not feature checklists. You will spend your time deeply embedded with engineering teams: mapping workflows from code to production, identifying friction, defining metrics, and collaborating on designs that make the "right way" the easy way. You'll own prioritization across competing stakeholders, communicating tradeoffs and long-term bets while still delivering incremental value along the way. In this role, you will: • Own the product vision, strategy, and roadmap for internal developer experience platforms (e.g., CI/CD, internal developer platform, delivery tooling, golden paths)., • Partner with the broader Product team on product prioritizations, broad product strategy, and shared goals., • Partner with engineering leads in Common Services, IaaS, Security, and Customer Experience to identify and prioritize high-value problems across the software delivery lifecycle., • Run structured discovery with internal "customers" (engineers, managers, SREs, TPMs) to understand workflows, constraints, and recurring pain points., • Define clear problem statements, success metrics, and hypotheses for DevX initiatives (e.g., lead time for change, deployment frequency, MTTR, onboarding time)., • Write concise, technically rigorous PRDs and collaborate on design docs that align DevX, platform, and security requirements., • Manage and prioritize backlogs across multiple teams, balancing foundational platform investments with near-term developer pain and compliance/operational needs., • Partner with engineering to plan increments, sequence rollout, and ensure we ship changes that are observable, operable, and reversible., • Drive adoption of DevX tooling through documentation, enablement sessions, and feedback loops; treat communication and change management as part of the product., • Instrument and review usage analytics, satisfaction surveys, and delivery metrics to assess impact and guide iteration., • Champion a "platform as a product" mindset: opinionated defaults, self-service where possible, and strong API / UX contracts for internal customers.Who You Are:, • 5+ years of experience in product management for developer platforms, internal tooling, infrastructure, or closely related technical products or equivalent experience as an engineering manager / tech lead / staff+ engineer working deeply with CI/CD, internal platforms, and developer productivity., • Proven ability to translate ambiguous engineering pain into structured problem statements, requirements, and prioritized roadmaps., • Demonstrated experience owning roadmaps for internal developer or platform products and delivering measurable improvements to developer workflows (e.g., reduced lead time, increased deployment frequency, improved onboarding time)., • Strong technical fluency with modern software delivery stacks (CI/CD pipelines, version control, artifact management, observability, configuration management, infrastructure-as-code)., • Experience working with and designing APIs and backend services (REST/gRPC), and an understanding of how developer interfaces (CLI, SDKs, IaC, consoles) fit together., • Hands-on experience collaborating with engineering teams that use Kubernetes or other orchestrators, microservices, and cloud-native architectures., • Comfort using data and metrics to prioritize work, make tradeoffs, and evaluate outcomes., • Experience leading cross-functional initiatives across multiple teams or orgs, including driving alignment, decision-making, and follow-through in a fast-paced environment., • You love making other engineers' lives better and can point to specific systems or tools you've improved for them., • You're curious about how code really gets to production—tooling, process, and culture—and enjoy untangling that complexity., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, 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 DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs a Software Engineer in the Robotics and Automation group at Radical AI, you will design and deploy systems to automate our material science research and discovery laboratory. You will specialize in robotics, automation, and perception software development. Your experience and vision will shape both the physical and systematic implementation of lab automation. You will collaborate closely with Mechatronics, Mechanical Engineering and Material Scientists to meet rigorous and sometimes dynamic design requirements at a profound deployment speed. Mission • Architect and develop software systems that control and orchestrate robotic workcells for autonomous materials experimentation, • Design scalable control frameworks for flexible automation involving robots, motion systems, sensors, and lab instruments, • Collaborate with hardware, mechatronics, and science teams to translate experimental workflows into reliable automated processes, • Build and maintain APIs and services for scheduling, execution, monitoring, and data capture, • Develop simulation, testing, and validation tools to accelerate development and ensure system reliability, • Integrate 2D and 3D vision systems (cameras, lighting, depth sensors) with robotic manipulation, motion planning, and execution, • Optimize system performance, robustness, and throughput under rapid iteration cycles, • Contribute to technical direction, architecture decisions, and best practices across the robotics, perception, and automation software stack, • Mentor junior engineers and help establish engineering standards in a fast-growing organization, • Bring an attitude of collaboration and open-mindedness, to facilitate fearless and creative problem solving skills that empowers our team to ship world class technology at an unprecedented speed.About you, • Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field, • Four+ years of professional software engineering experience, with significant work in robotics or automation systems, • Strong proficiency in modern programming languages such as Python and C++, • Experience with robotic control frameworks (e.g., ROS/ROS2 or equivalent custom systems), • Experience with physical simulation environments (e.g. MuJoCo, IsaacSim), and hardware-in-the-loop testing, • Solid understanding of motion planning, state machines, real-time or near-real-time control systems, • Experience integrating hardware systems including robots, sensors, vision systems, and industrial equipment, • Ability to work independently in a hands-on, development-oriented environment., • Strong communication skills and ability to collaborate across engineering and scientific disciplines.Pluses, • Experience deploying autonomous systems in laboratory, manufacturing, or industrial environments, • Experience deploying autonomous mobile robots and working with simultaneous localization and mapping (SLAM), • Experience with reinforcement learning and computer vision applied to robotics, • Familiarity with machine learning applied to robotics, experimentation, or optimization, • Prior startup experience or ownership of systems from early prototype through productionWhat we offer, • A competitive compensation package also includes the best in benefits., • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job DescriptionJob Title: Sr. Security EngineerDuration: 6 months Contract To HireLocation: Looking for someone near our physical NY office (NYC) and datacenter (Weehawken, NJ) who could support on-site physical equipment (powering off a firewall, checking cable connectivity, shipping equipment, configuring equipment that is not remotely accessible). About the PositionClient X is seeking an exceptional Senior Security Engineer to join its IT Security Team in our New York office. This person will join a distributed, highly collaborative team that is responsible for the setup and maintenance of security equipment for a global network. The successful candidate will demonstrate strong technical skills and will have the technical credibility to be a lead participant in the architecture, design, and implementation of complex security solutions including interconnectivity with third party partners and market data providers and DMZ configuration and hardening. In addition to exceptional technical skills, the ideal candidate will demonstrate an ability to provide the highest level of support for troubleshooting incidents. Experience with updating problem records in an incident tracking system is needed and he or she must be comfortable interacting with various individuals or in an ever-changing environment. This person will help to lead projects where close coordination and communication is required with other areas such as the networks, database management, system services, and application development organizations. The ideal candidate will have at least eight years of hands on technical experience with firewall design and implementation with physical and\or virtual Next Generation firewalls and will have at least three years of experience in working with cloud implementations. Experience with automation technologies such as Ansible Tower would also be helpful. Specific Responsibilities Include • Operational management of security platforms including, but not limited to, firewalls, load balancers, web proxies, endpoint security technologies., • Documentation and implementation of firewall policy and rule changes., • Manage physical equipment such as the rack, stack and installation of security equipment in any company location including enterprise data centers, • Assist in supporting the security platforms protecting our enterprise systems and environment, • Assist and train team members in the use of cloud security tools and the resolution of security issues, • Provide technical support for complex, medium to high risk systems problems, • Instill cooperation and/or resolve problems on security related activities that span other areas such as network, database management, applications development, and other systems related areas, • Implement automated approach to delivering key security management processes, • Communicate security risks and solutions to business partners, platform & product teams, • Partner with Security Architecture to evaluate cloud security technologies, provide feedback on designs, and implement processes and integrations of highly complex solutions., • Develop procedures for automating security tasks during build and deployment Skills & Experience Required:, • Bachelor’s degree with a degree in Computer Science, Computer Engineering, EE or comparable discipline preferred, • Eight plus years of hands on firewall design, implementation, and change management experience with physical and\or virtual Next Generation firewalls., • Three plus years of hands on experience working with cloud implementations, • Extensive knowledge with relevant experience in at least five of the following categories:, • Serve as a project lead or a project member on projects of varying size and complexity and risk., • Third party and VPN connectivity architecture and design, • DMZ network segmentation design best practices, • Intrusion Detection/Prevention System tuning, • Security hardening and configuration techniques, • Application firewall design, • Antivirus / Endpoint protection design and implementation, • Patching and vulnerability remediation management, • Web Proxy architecture / design, • Cloud (IaaS, PaaS, and SaaS) hosted security solutions, • PKI and certificate management concepts, • Preferred security certifications:, • PCNSA, • Microsoft Azure security Engineer Associate, • CISSP, • GSEC, • GCIH, • GMON, • Sufficient level of knowledge in other technical areas such as database management and networking so incumbent can represent his/her area on major cross functional problems that span other areas, • Broad knowledge of monitoring tools, • Diagramming using Visio or equivalent tools, • Excellent organizational skills and superior troubleshooting / problem solving ability

Job Description Full Stack Developer - Generative AI SaaS - NYC - Series A Startup We are seeking a hands-on, experienced Python/Full-Stack Engineer to drive the technical vision and execution of multiple high-impact projects while growing into a leadership role within their dynamic and expanding team. About the Role As a senior engineer, developer, you will spearhead the development of cutting-edge SaaS solutions. You’ll collaborate closely with cross-functional teams, guide technical strategies, and ensure the delivery of scalable, high-quality systems. This role offers the opportunity to either start on Day 1 or quickly transition into people management, mentoring and leading a talented team of engineers. Key Responsibilities • Design, develop, and maintain robust web applications using Python and modern frameworks., • Architect scalable, cloud-native solutions on AWS, ensuring reliability and performance., • Collaborate with product, design, and engineering teams to deliver innovative SaaS products., • Monitor and support production systems, ensuring operational excellence., • ~7 years of professional Python development experience., • Proven track record as a Tech Lead or equivalent, successfully delivering projects., • Deep understanding of modern web application architectures, • 2-3 years of people leadership/management experience with direct reports., • Hands-on experience with AWS and Terraform for infrastructure management., • Comfort with SQL and relational database design/optimization., • Operational experience supporting and monitoring production systems., • Expertise in async programming (e.g., asyncio, FastAPI). #LI-Hybrid #LI-JW1

Job DescriptionRezolve Ai (NASDAQ: RZLV) is an industry leader in AI-powered solutions, specializing in enhancing customer engagement, operational efficiency, and revenue growth. The Brain Suite delivers advanced tools that harness artificial intelligence to optimize processes, improve decision-making, and enable seamless digital experiences As a leader in Product Discovery, we empower retailers and brands with AI-driven search, conversational commerce, geofencing, and one-touch instant payments. With recent acquisitions of ViSenze, GroupBy and Bluedot, Rezolve is accelerating innovation at the intersection of AI, commerce, and customer engagement To help us build upon our success, we are seeking a Full Stack Software Engineer to contribute in improving our search system performance and scalability. The position reports to the Software Development Manager and will work in close conjunction with the Product, Algorithm/Data Science, and various Engineering teams · Design and implement robust and scalable web applications, covering both frontend and backend development· Collaborate with cross-functional teams to define, design, and ship new features· Ensure the technical feasibility of UI/UX designs and implement them accordingly· Develop responsive and user-friendly web interfaces using modern frontend technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js)· Develop and maintain databases (SQL and/or NoSQL) to support the application· Design, implement, and maintain RESTful APIs for seamless communication between the front end and backend· Ensure API security, performance, and documentation· Implement automated testing strategies to guarantee the reliability and scalability of the application· Work closely with product managers, designers, and other stakeholders to understand project requirements and objectives· Collaborate with other engineers and contribute to a positive team environment· Identify and resolve performance bottlenecks, bugs, and technical issues· Conduct root cause analysis for issues and implement effective solutions Qualifications· Bachelor's degree in Computer Science or related field with a solid foundation in Computer Science· At least 4 years of proven experience as a Fullstack engineer or a similar role· Experience in scripting languages, such as Python for build automation and data processing· Experience in engineering pipeline tools such as airflow· Experience with database systems, both SQL and/or NoSQL· Experience in at least 1 front end framework, such as Angular or React· Solid understanding of data structure and algorithm· Experience in writing clean, reusable codes with great testability· A strong passion for learning and adapting to new technologies· Strong problem-solving skills and attention to detail· Excellent communication and collaboration skills Must HavesStrong interpersonal and communication skillsExperience in JAVA and JAVA SpringExperience in developing UI libraries by modern front-end javascript framework (preferably Angular)Familiarity with CI/CD pipelines and deployment processesKnowledge of HTTP and REST API design and implementation Rezolve is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Rezolve are based on business needs, job requirements, and individual qualifications, without attention to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, veteran or disability status, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Rezolve will not tolerate discrimination or harassment based on any of these characteristics. Rezolve encourages applicants of all ages We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Test Automation Engineer II As a ‘Test Automation Engineer II’ you will be an integral member of our client's software development team, testing best-in-class advancements to our products. This position is expected to analyze, requirements for client's suite of products to design and develop automation scripts and to validate functionality. You will have the freedom to experiment with state of the art technologies. Job Responsibilities Job Duties: You will have the opportunity to: • Collaborate with the development team including but not limited to Product Owner, Quality Engineers, Software Engineers, Development DBA and Scrum Master to Analyze the given business requirements, identify all possible scenarios, • Review the deploy requests and facilitate the deployment of APP Code/ DB Scripts in the test and other lower environments, • Validate the product features deeply by designing a test strategy, conduct Test Design and review with the team, and craft test data, conducting Manual Test Execution, prepare Test Automation Scripts, Add/Update Regression tests using the Test Framework, identify defects, log them in a Defect Management System and track to close them., • Participate in all the Agile Ceremonies that contribute towards overall quality of the product, conduct demos and presentations, and perform peer to peer Code Reviews on the Test Automation check-ins by their Team, • Add/Update Regression tests and develop common Test Classes and Methods for reusability, and update the regression test suites to reduce the execution time

Job DescriptionSalary: $80,000 $90,000 Field Engineer Level 2 FLSA Classification: Exempt Computer Professional Reports To: Pod Lead Position Summary The Level 2 Field Engineer is a client-facing technical professional responsible for advanced troubleshooting, systems administration, and onsite technology solution delivery within Chelsea Techs Managed Services (MSP) pod structure. This role serves as an escalation point for complex technical issues and acts as the primary onsite technical presence for assigned clients. The position requires independent judgment, strong analytical capability, and the ability to manage multiple client environments. The Engineer is expected to exercise discretion in diagnosing, resolving, and preventing technical issues while maintaining high standards of client service and documentation. Essential Duties and Responsibilities • Serve as escalation point for complex Level 2 technical issues across multiple client environments., • Diagnose and resolve advanced hardware, software, networking, and endpoint issues., • Configure and support Microsoft 365, Azure, Azure Virtual Desktop, and endpoint management systems., • Perform systems troubleshooting including DNS, DHCP, LAN/WAN, wireless, and remote access environments., • Deploy, configure, and manage laptops, desktops, and peripheral devices., • Maintain accurate technical documentation, SOPs, and ticketing records in accordance with SLA standards., • Collaborate within pod structure to ensure client satisfaction and service continuity., • Windows 10/11 and macOS administration, • Microsoft 365 (E3/E5), Office 365, Azure, Azure Virtual Desktop, • Microsoft Intune and Mobile Device Management (MDM), • Jamf device management, • DNS, DHCP, and general networking troubleshooting (LAN/WAN/Wireless), • Remote Desktop Services, • Network printers, scanners, and workstation peripherals, • Video conferencing platforms (Teams, Zoom) and A/V systems, • ConnectWise, HaloITSM, and IT Glue (preferred), • Endpoint deployment and lifecycle management, • Asset inventory tracking and documentation, • 35+ years of progressive Service Desk or MSP experience, including escalation-level support., • Strong knowledge of Microsoft 365, Azure, networking, and endpoint management tools., • Demonstrated ability to exercise independent technical judgment. This role may require onsite client visits and the ability to lift equipment up to 25 pounds. Prolonged computer use and the ability to sit or stand for extended periods are required. Compensation The base salary range for this position is $80,000 $90,000 annually. Final compensation will be determined based on experience, skills, and internal equity. Employment Statement Chelsea Tech is an at-will employer. This job description is intended to describe the general nature and level of work being performed and is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Chelsea Tech is an equal opportunity employer and complies with all applicable federal, state, and local employment laws.

Job Description Job Title: Security Engineer/Architect - IAM Duration: 12+ Months (Possible extension) Location: New York, NY 10286 Onsite Role (4 days a week) Responsibilities: • Seeking a hands-on Security Engineer/Architect to design, implement, and govern identity and access management for a FedRAMP-compliant Azure environment using native Microsoft security tooling., • Will own the IAM architecture and control lifecycle—policy design, privileged access, identity threat protection, lifecycle governance, and evidence generation—ensuring NIST SP 800-53 control coverage and audit readiness., • Define and maintain Azure IAM architecture and guardrails: tenant segmentation, RBAC strategy, least privilege, managed identities, Conditional Access, and Just-In-Time access via PIM., • Establish standardized access patterns for workloads, service principals, Managed Identities, and human identities across multi-tenant/multi-subscription Azure footprints., • Design and enforce secure key/secret management using Azure Key Vault (FIPS 140-2 validated modules), including rotation, access policies, and monitoring., • Integrate identity threat protection signals (Entra ID Protection, Defender for Identity) into detection and response workflows; ensure coverage for high-risk scenarios (privilege escalation, token theft, MFA fatigue, legacy protocols). Implementation and Control Enforcement, • Build and maintain Azure Policy/Blueprints to enforce IAM baselines (e.g., MFA requirements, disallow legacy auth, privileged role constraints, Key Vault access policies, managed identity usage)., • Configure Conditional Access, Authentication Strengths, and token controls; manage role assignments, custom roles, and privileged workflows consistent with FedRAMP requirements., • Partner with SecOps to ensure logging/telemetry completeness (Audit logs, Sign-In logs, Entra ID Risk events, Azure Activity logs) and Sentinel ingestion; author KQL-based detections/playbooks for IAM threats., • Maintain IAM control narratives, SSP sections, and evidence packages; support POA&M lifecycle for IAM-related findings and corrective actions., • Lead periodic access certification campaigns for privileged roles and sensitive applications; implement automated recertification workflows and exception governance., • Quantify residual risk and document compensating controls; partner with risk/compliance and 3PAOs on assessments, interviews, and artifact reviews., • Identity & Access: Microsoft Entra ID (Azure AD), PIM, Conditional Access, Authentication Strengths, RBAC, Managed Identities, • Threat Protection: Entra ID Protection, Microsoft Defender for Identity, Microsoft Defender XDR signals, • SIEM/SOAR: Microsoft Sentinel (Log Analytics, Workbooks, Playbooks/Logic Apps), • Posture & Policy: Azure Policy, Azure Blueprints, Azure Automation, • Secrets & Crypto: Azure Key Vault (FIPS 140-2), Key Vault HSM (as applicable), • Bachelor’s degree in Information Security, Computer Science, Information Systems, or related field; equivalent experience considered., • 7+ years in security engineering/architecture, with 3+ years focused on IAM in Azure using native tooling., • Deep hands-on experience with Entra ID (Azure AD), RBAC, PIM, Conditional Access, Managed Identities, and Key Vault—including policy design and enforcement at scale., • Practical knowledge of FedRAMP baselines (Moderate/High), NIST SP 800-53 control families, and audit/assessment processes; experience contributing to SSP/ConMon evidence., • Strong proficiency in Azure Policy/Blueprints and policy-as-code approaches; experience embedding controls into CI/CD., • Ability to design high-fidelity detections and automate incident response for identity threats using Sentinel and Logic Apps., • Experience operating in Azure Government or GCC High tenants and understanding telemetry/control nuances in those environments., • Background in Zero Trust principles, privileged identity strategy, and secure service-to-service authentication patterns., • Familiarity with Microsoft Purview and data access governance for sensitive workloads., • Scripting/automation skills (KQL, PowerShell, Bicep/Terraform basics) to manage identities, enforce policies, and generate evidence., • Certifications: AZ-500 (Azure Security Engineer Associate), SC-300 (Identity and Access Administrator), SC-200 (Security Operations Analyst), CISSP/CCSP, or equivalent.

Job Description TITLE: Senior Intune Mobility EngineerLOCATION: Hybrid - New York or ChicagoDURATION: 6 monthsPosition SummaryCompany X is seeking a highly motivated Senior Intune Mobility Engineer to join the Desktop Engineering Team. The candidate will be responsible for the 3rd party application lifecycle, automating workflows, documentation, enterprise workstation management, project management and level 3 support.This person will be required to use exceptional communication skills to interact with geographically distributed teams of varying knowledge levels, while collaborating on incidents and projects. This position can be in Chicago or NY.Essential Job FunctionsThe Senior Intune Mobility Engineer’s primary responsibilities include: • Lead the design, implementation, and management of Microsoft Endpoint management/Intune solutions., • Lead architecture and design sessions for Mobile applications, planning for both business and technical requirements and assist with product roadmap development., • Implement system security requirements defined under Information Security standards., • Work on projects that include multi-tier application review, onboarding, and maintenance., • Develop and execute test plans to check infrastructure and system performance., • Maintain SME level knowledge on various mobile and desktop products., • Work with application vendors regarding application compatibility for upgrades and migration projects, including being a liaison between vendors and IT staff., • Schedule upgrades and migrations with users, maintain change management data, complete the upgrades in deployment system, facilitate and track feedback from the users - post-rollout., • Create end user documentation and training material for IT Staff., • Incident & service management; logging of requests, support calls and escalating where appropriate into the Service Management tool., • Share a rotation / on-call nights and weekend support.Preferred Qualifications, • Expert level troubleshooting skills, able to quickly identify client issues, and be able to conduct in-depth diagnostics on Microsoft Intune products and services., • Experience with troubleshooting and configuring device connectivity., • Strong understanding of generally accepted system administration methodologies, tools, and techniques, and desire to instill these practices in both individual and teammates’ work., • Knowledge in MAM (Mobile Application Management), Apple Business Manager (ABM), VPP / DEP, and Android Zero Touch., • Active Directory concepts such as Kerberos, LDAP, Certificates and Security Groups., • Understanding of networking, firewalls, and common datacenter infrastructure., • Understanding of Industry best practices for mobile security and separation of corporate and personal priorities., • Good written documentation skills and demonstrable experience of documenting systems and procedures., • Passion for providing outstanding support for inbound incident tickets, as well as foresight to assess risk and scale., • Ability to maintain skillset up to date as the product evolves continually., • Excellent interpersonal and communication skills, including an ability to interact with users of varying technical skill levels., • Strong project management skill with some experience leading projects., • Ability to work independently and without the need for supervision, as well as collaboratively within the team and across various IT groups and business units., • Knowledge of Cloud Identity (Azure Active Directory, AAD Sync, Role-based access control)., • Knowledge of BlackBerry UEM., • Knowledge of Certificate and Certificate Chain Authority., • Knowledge of SQL queries and ability to create ad-hoc custom reports., • Experience in Financial sector preferred.Basic Qualifications, • Bachelor’s degree in Computer Science or Management Information Systems., • Minimum of 5 years of experience working in a large implementation of 1000 or more mobile devices., • Minimum of 2 years with Microsoft Intune mobile device management., • Minimum of 3 years of technical experience supporting an industry-leading MDM solution (Intune, AirWatch, Blackberry, MobileIron).

Job Description Position Description A client of AlphaStaffHCM is seeking a Senior Software Engineer to lead frontend development initiatives across both our core product suite and digital customer experiences. This role requires a versatile engineer capable of building management consoles for our cloud and on-premise quantum devices while simultaneously delivering high-impact, interactive visualizations for market engagement. You will collaborate with backend engineers to integrate microservices for the core hardware control platform, while also working with UI/UX and Product teams to develop web-based demonstrations of our technology to a global audience. Responsibilities Product UI Engineering ● Develop a unified Next.js, React, and TypeScript codebase that functions as the central management interface for user access, system administration, and system auditing, which will be deployed in both cloud environments and on-premise hardware appliances. ● Integrate distributed backend microservices via RESTful APIs to visualize real-time hardware telemetry, job scheduling, and system status. ● Implement high-performance client-side data visualizations to visualize complex quantum phenomena. ● Manage runtime configuration strategies to ensure the application connects to the correct service endpoints regardless of the deployment environment. ● Implement Role-Based Access Control (RBAC) logic in the UI to enforce permissions and view-level security across complex application suites. Digital Experience & Interactive Applications ● Engineer interactive, web-based simulations that enable prospective customers to engage with quantum computing concepts in a browser environment. ● Implement advanced visualizations using Framer Motion, GSAP, Three.js or similar to represent complex physics logic intuitively. ● Maintain and optimize corporate web properties, ensuring compliance with Core Web Vitals, SEO standards, and mobile responsiveness. ● Oversee the technical integration of Content Management Systems to facilitate content updates by non-technical stakeholders. Required Qualifications ● 5+ years of professional experience in software engineering with a focus on frontend development. ● Strong knowledge of web security best practices, including the OWASP Top 10 (specifically XSS and CSRF mitigation), and experience implementing secure authentication flows (OAuth2/OIDC) and session management. ● Demonstrated ability to implement high-fidelity UI/UX designs with precision, strictly adhering to design specifications. ● Deep understanding of modern CSS layout models (Grid/Flexbox) and browser rendering engines. ● Experience integrating frontend applications with complex backend architectures, RESTful APIs, and microservices. ● Experience working with Content Management Systems or Headless CMS architectures (e.g., Next.js, Gatsby, Contentful). ● Knowledge of best practices for CI/CD. Preferred Qualifications ● Experience with WebGL, Three.js, D3.js, or similar for scientific data visualization. ● Knowledge of containerization workflows (Docker) for deploying frontend assets in on-premise environments. ● Familiarity with marketing technology stacks, including analytics implementation, A/B testing, and SEO best practices. Skills React, TypeScript, Next.js, CSS3, SCSS, Framer Motion, GSAP, REST APIs, Headless CMS, SEO, Responsive Design, Docker, CI/CD, OWASP, OAuth2

Job Description Technical Account Executive - Infrastructure Platform - 27772826 Join a fast-growing startup building the future of infrastructure management Are you ready to be the first quota-carrying Account Executive at a cutting-edge infrastructure company? We're looking for a technical sales professional to own the full sales cycle and help scale our go-to-market motion from the ground up. ???? Compensation & Benefits Base Salary: $138K - $175K OTE: $275K - $350K Equity: Competitive equity package Location: In-office in Chelsea, New York (full-time on-site) Hiring: Looking for 1-2 exceptional candidates Note: Visa sponsorship not available What You'll Do Own the Complete Sales Cycle • Drive end-to-end sales from outbound sourcing through negotiation and close, • Run technical discovery with engineering teams (SRE, Platform, Infrastructure), • Lead technical evaluations, coordinate pilots, and navigate security/compliance reviews, • Develop talk tracks, objection handling frameworks, and ROI narratives, • Create scalable playbooks and operating rhythms for future team growth, • Partner directly with founders and product teams to influence roadmap Core Requirements • 2-4 years B2B SaaS sales experience with proven deal sourcing and closing track record, • Experience selling technical products (dev tools, infrastructure, security, data) to engineering buyers, • Demonstrated ability to run structured discovery and turn technical pilots into wins, • Strong outbound pipeline creation skills and comfort with limited inbound volume, • High ownership mindset and excitement for building processes while selling, • Excellent written/verbal communication with both engineers and executives Bonus Points • Prior experience as Solutions Engineer, SRE, or Software Engineer, • Background selling observability, monitoring, incident response, or reliability tools, • Enterprise deal experience with complex security/compliance requirements, • Network in the NYC engineering ecosystem ???? Founding Team Opportunity • Be the founding Technical AE at a company with strong momentum and $20M in funding, • Join a unique technical team including engineers who've won Jeopardy and were top college debaters, • Team Size: 18 employees in a tight-knit, high-performing environment, • Industry: DevTools, Software Development, B2B, • Mission: Automate everything after deployment so teams spend less time on maintenance and more time building, • Competitive compensation with $275K-$350K OTE potential, • Generous equity in a fast-growing, well-funded startup, • Full benefits coverage - health, dental, vision, plus retirement, • Unlimited PTO and flexible work environment, • Perks that matter - late night dinners, fitness stipend, top-tier equipment, • NYC benefits - Citi Bike and transit support If you wish to be part of this successful and vibrant organization, please email a MS Word version of your resume to . Cube Management is a leading recruiting and consulting partner to emerging growth, mid-market and global companies in the technology, manufacturing, healthcare, consumer package goods and business service sectors. We work across the spectrum of Operations, Sales, Marketing, Safety, Engineering, Accounting and Business Development, providing holistic solutions that drive revenue and profit success. Cube Management combines Strategy, Process and People, to produce great results. For a complete listing of our current job listings please visit

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As a Senior Associate, Machine Learning Engineer, you'll work alongside experienced ML engineers and data scientists to design, build, and scale machine learning systems that deliver real business value. Reporting to the Executive Director of ML Engineering, you'll gain hands-on experience developing production-grade pipelines, monitoring frameworks, and scalable ML applications that support mission-critical business functions. This is a high-growth opportunity for someone with early industry experience (or strong academic grounding) in machine learning engineering, eager to deepen their expertise in production systems and MLOps while growing within a dynamic AI team operating at the frontier of applied ML. Key Responsibilities: • Contribute to the design, development, and deployment of ML models and pipelines across business-critical domains such as financial services and insurance., • Support production efforts, including model packaging, integration, CI/CD deployment, and monitoring for performance, drift, and reliability., • Collaborate with senior engineers to build internal ML engineering tools and infrastructure that improve training, testing, and observability workflows., • Partner with Data Scientists to operationalize prototype models, ensuring they are scalable, robust, and cost-efficient in production., • Work with large-scale datasets to enable feature engineering, transformation, and quality assurance within ML pipelines., • Implement monitoring dashboards, alerts, and diagnostics for model health and system performance. Qualifications: • 5+ years of experience building and deploying machine learning models in production environments, with exposure to monitoring and diagnostics., • Solid understanding of machine learning engineering fundamentals (pipelines, deployment, monitoring) and familiarity with data science workflows., • Experience with MLOps tools such as MLflow, Weights & Biases, or equivalent. Exposure to observability/monitoring systems (Prometheus, Grafana, ELK, Datadog) is a plus., • Proficiency in Python and familiarity with ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch)., • Strong experience with data manipulation and pipelines using Pandas, NumPy, and SQL., • Knowledge of containerized deployments (Docker, Kubernetes) and cloud ML services (AWS SageMaker, GCP Vertex AI, or Azure ML) preferred., • Excellent problem-solving skills, eagerness to learn, and ability to thrive in a fast-paced, evolving environment., • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field., • Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including deploying and integrating ML solutions in enterprise ecosystems., • Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM engineering workflows., • Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services., • Drive AI transformation for some of the most sophisticated financial entities., • Competitive compensation, benefits, future equity options, and leadership opportunities. Position Location This is an on-site position based in Manhattan in New York City. Compensation The base salary for this position is $190,000-$200,000. A discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description About the Field Service Team The Field Service Team ensures Aniai builds lifelong customers across the globe. With the rapid deployment of our flagship product, Alpha Grill, our Field Service Engineers (FSEs) are out at customer sites training kitchen teams, leading installations and solving the unpredictable issues that happen in the startup environment. The Field Service Team has 8 members right now, 7 in Korea and 1 in our NYC HQ. We’re looking for another rock star to join our team in the early stages within the US market. About the Field Service Manager (FSM) Role We are looking for a rock-star FSM to build the field engineering team from the ground up. You will come in with some ready-to-go playbooks from our team in Korea, but we’re expecting you to bring rich experience in leading installations and maintenance for high tech machines, training and managing external service technicians, and building processes and infrastructure for how the team operates. You will manage our FSE from day one, and you will become the go-to expert for our customers and internal teams, lending your knowledge and skillset to optimize performance, provide technical support and education, and deliver exceptional customer service. Here’s the fine print: Customers • Deployments: Install Alpha Grill in customer sites, ensuring proper configuration and calibration for optimal performance., • User Training: Provide comprehensive training and guidance to customers on how to use Alpha Grill and what common issues they can self-resolve., • Maintenance: Monitor Alpha Grill performance KPIs, identify areas of improvement, and promptly address customer concerns or issues. Troubleshoot issues remotely or conduct site inspections as needed. Carry out repairs, ensuring we meet standard service level agreements set. Service Providers & Technicians • Trainings: Develop and lead training programs for onboarding 3rd party service technicians., • Service Network Dispatch: Manage nationwide service network and dispatching service calls to appropriate technicians., • SLA Management: Ensure service technicians meet SLAs and provide escalation training and response support when technicians do not achieve desired targets. Team Infrastructure • Field Service Playbook: Build the team playbook, creating and managing KPIs against standard installation processes, site visits and general service calls., • Service Manual: Build our first service manual, creating a comprehensive document which serves as the technical resource for all technicians. Miscellaneous • Demo Unit Maintenance: Support our test kitchens and tradeshows with technical deployment setup and assistance., • Product Recipe Testing: Support sales team by testing recipes coming from potential and existing customers on the Alpha Grill. We ask Everyone at Aniai to: • Have a bachelor's degree., • Be excited to work at our NYC HQ 5 days per week. We pride ourselves in building community through our in-person culture., • Love burgers. What is your favorite burger? We want to know!, • Communicate effectively and love cross-collaborative efforts. Our teams span across the US and Korea, which takes patience, kindness and communication to make it work., • Have a hustle mentality, solve problems and act quickly. We’re a rapidly growing startup, we don’t have time to waste., • (Bonus) Have experience in early-stage startups., • (Bonus) Have experience in robotics, kitchen equipment manufacturing, or restaurants. We ask FSMs at Aniai to: • Have an educational background in mechanical or electrical engineering., • Have made incredible impacts in their prior experience. We think this takes the equivalent of roughly 5+ years in Field Service to do. You will be the most accomplished field engineer on our team and your prior experience should show this., • Have trained and led field service teams, including managing external technician networks nationwide., • Deep experience building 0-1 processes and playbooks. Assume nothing exists today, we need you to build it., • Have some experience or general awarenss of managing P&L for the field service team. You may not have had direct control of the P&L in your prior experience but you’ve had exposure to it and understand how to reduce team costs., • Be top tier communicators. You not only possess a deep understanding of technical concepts, but you also know how to communicate these to non-technical audiences with ease., • Travel at least 50% to customer locations across the United States. We require a valid US Driver's License with a clean record., • Solve problems every day. You most likely love puzzles and have a knack for finding creative solutions to the toughest issues., • Be organized in their approach to customer deployments and maintenance. Startups are chaos so we aim to find someone methodical and logical in everything they do., • (Bonus) Have experience in deploying and servicing robotic products! Don’t meet all our requirements? Don’t worry! We still want to meet you even if you find yourself only nailing 50%. So, if this feels like an incredible opportunity, apply anyways. Benefits We’re focused on one thing and one thing only – growth. Our benefits reflect our ability as an early-stage startup to give our employees the space and resources they need to focus on growth and be successful here at Aniai. We hope to continue expanding our benefits as we expand our business, but today we offer the following: • Compensation at $80-100k based on prior experience, • Meaningful Equity, • 100% Covered Top-Tier Medical, Dental & Vision insurance, • 15 Days PTO + 5 Paid-Sick Days + 8 Company Holidays, • NYC HQ Loft with free coffee, snacks, drinks and more!, • Apple Macbook + other equipment necessary to do the job, • Team bonding activities, • Access to Alpha Grill, and we guarantee plenty of food!

Job Description COMPANY: Canoe Intelligence WEBSITE: TITLE: Sr. Software Engineer, Full Stack LOCATION: New York City (hybrid) or Fully Remote in the United States SALARY: $110,000 - $140,000 (based on NYC, will be adjusted for geo) The Role: Canoe is seeking a senior software engineer to join our Application Development team. This team is responsible for the technical vision, support and development of Canoe’s next-generation web applications. In this role you will design and develop high quality code, participate in cross functional and project leadership, and ship mission-critical products and features powering Canoe’s continued growth and leadership in the alternative investments industry. What You’ll Do: * Develop and Support high quality and modern software using Vue, Typescript, Kafka, PHP, Laravel, MySQL and PostgreSQL. * Own features end-to-end, from technical design through deployment and production support, ensuring timely delivery and high quality. * Translate business requirements for new products and features into technical designs that enable efficient implementation by you and your teammates. * Seamlessly integrate new solutions into Canoe’s distributed, event-driven architecture through careful design of Kafka events, payloads and consumers. * Review and provide constructive feedback on technical designs and code produced by your teammates. * Lead and provide support for cross-functional, dynamic project teams responsible for delivering high quality products on time and within project scope. * Contribute to the continuous improvement of Canoe engineering through proactive brainstorming, presentation of ideas and mentoring. What We’re Looking For: * You are a full stack software engineer with 6+ years of experience designing and implementing robust applications at scale using a modern PHP framework. * You have experience building responsive, modern user interfaces with Vue.js, React, or a similar front-end framework. * You have proven experience leading others in a technical leadership or senior engineering role to efficiently deliver business value. * You have excellent verbal and written communication skills and are able to effectively work with technical and non-technical audiences. * You have experience with event-driven, data-centric architectures built on relational databases, microservices and, preferably, Kafka (or another similar event driven architecture). * You can normalize a data schema as easily as you can design an event payload, while steering the team away from common pitfalls. * You apply clean code standards and SOLID principles in your day-to-day work, and provide constructive feedback guiding others to do the same. * You are as comfortable working in a highly collaborative environment, as you are individually contributing value to the organization. * You embrace AI-assisted development tools as part of your workflow while applying sound engineering judgment to the code you ship. Preferred: * Experience shipping SaaS products in a fast pace environment. * Hands-on experience with the Laravel Framework. * Familiarity with AWS. * Background in fintech and/or alternative investment industry. 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 * Parental Leave Our Values: * 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 * Win Together —> 1 + 1 = 3 Who We Are: 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 DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role We’re looking for a Senior iOS Engineer to join our Growth product group, where you’ll build user-facing features that help more people discover, engage with, and return to Hinge. This team focuses on key moments in the user journey—from onboarding and activation to encouraging deeper usage and long-term retention. As a Senior iOS Engineer, you’ll work on projects aimed at helping new users get started successfully, re-engaging those who’ve taken a break, and showcasing the value of premium features. Your work will directly shape how people experience Hinge and contribute to both user satisfaction and product growth. You’ll collaborate closely with engineers across platforms, product managers, designers, data scientists, and backend teams to identify high-impact opportunities, run experiments, and ship high-quality, performant mobile experiences.If you’re excited by the challenge of helping millions of people connect meaningfully—and you love crafting intuitive, elegant apps—we’d love to hear from you.Responsibilities • Team Leadership & Best Practices: Champion best practices and team principles that enhance collaboration and elevate the success of the iOS team., • Feature Development: Design, develop, and refine features that enhance the functionality and user experience of our iOS application., • Cross-Functional Collaboration: Partner with product managers, designers, and engineers to deliver seamless user experiences., • Apple Ecosystem Expertise: Stay current with the latest Apple platform updates, leveraging new capabilities to drive innovation within the app., • Reliability & Issue Resolution: Monitor, diagnose, and address production crashes and customer-reported issues to ensure a smooth user experience., • Architecture & Scalability: Maintain and evolve a scalable, extensible, and efficient application architecture to support future growth.What We're Looking For, • Proficiency in Swift & UIKit: In-depth knowledge of Swift, UIKit, and iOS app development, • App Architecture: Familiarity with client application and systems architecture patterns like VIPER, MVVM, and MVP., • Feature Development: Experience building and maintaining apps with comprehensive feature sets and rich user interfaces., • Production Support: Prior experience operating and troubleshooting production apps., • Problem-Solving & Organization: A structured thinker with strong attention to detail and the ability to see the big picture., • SwiftUI & Concurrency: Experience with SwiftUI and Swift Concurrency is a plus., • CI/CD & Deployment: Familiarity with Github Actions, CircleCI, Fastlane, and TestFlight is a plus. #Hinge We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Us At Fun.xyz, we believe a tokenized future is a beneficial inevitability, granting financial emancipation to everyone with an internet connection. For a blockchain-first global economy to exist, value exchange must become intuitive, secure, and seamless. Enter Checkout - the highest converting payment solution in web3. By integrating Checkout, dApps enable users to complete any on-chain action using crypto from a wallet, centralized exchange, or on-ramped fiat from a card or bank account. With access to market-leading routing and their asset portfolio at the point of sale, users are faster, stickier, and more engaged. We built Checkout because we envision a world where anyone, anywhere, can purchase anything with any asset. If that sounds like a vision you can get behind, we want to hear from you. Role Overview We're looking for a Backend Engineering Manager to lead and scale our backend infrastructure team. This high-impact role reports to the CTO with significant opportunity to shape our technical architecture and engineering culture as we scale. You will be drive technical excellence while building a high-performing team - ensuring we deliver robust, scalable backend systems that power seamless Web3 payments. This role is perfect for a crypto-native engineering leader who excels at balancing technical depth with people management.Responsibilities • Own the overall output of the backend engineering team - deliver reliable, scalable infrastructure that supports our growing Web3 payments platform, • Lead, mentor, and grow a team of backend engineers while fostering a culture of technical excellence and continuous learning, • Collaborate with product and protocol teams to translate business requirements into robust technical solutions, • Establish engineering best practices, code quality standards, and deployment processes, • Lead incident response and post-mortem processes to continuously improve system reliabilityRequirements, • Experience as an IC engineer with staff level output, • Strong technical background in distributed systems, APIs, and database design, • Opinions on a modern cloud stack, • Leadership experience in high-performing engineering teams, • Experience with payment systems, financial infrastructure, or fintech applications, • Exceptional communicator who can translate technical concepts to cross-functional stakeholders, • Data-driven approach to decision making with focus on system performance and team productivityNice to Have, • Previously worked at crypto startup or Web3 infrastructure company, • Experience with blockchain integrations, smart contracts, or DeFi protocols, • Background with high-scale payment processing or financial compliance systems

Job DescriptionTired of the inefficiencies and complexities of traditional finance? We are too. At Superstate, we create investment products that benefit from the speed, programmability, and compliance advantages of blockchain tokenization. As a Staff DevOps Engineer at Superstate, you'll be responsible for building and maintaining highly reliable, scalable infrastructure that powers our financial products. You'll architect robust systems that ensure our platforms deliver exceptional performance, availability, and security at scale. You’ll be wearing many hats across general devops, security, observability, and reliability and help lead these initiatives.What you'll do • Design and implement scalable, fault-tolerant infrastructure for our web applications and blockchain systems, • Build and maintain CI/CD pipelines, deployment automation, and infrastructure as code, • Develop comprehensive monitoring, alerting, and observability systems to ensure system reliabilityLead incident response efforts and conduct post-incident reviews to improve system resilience, • Implement security best practices across all infrastructure and deployment processes, • Collaborate with engineering teams to optimize application performance and reliability, • Establish SLIs, SLOs, and error budgets to measure and improve service reliability, • Automate operational tasks and reduce manual toil through tooling and process improvements, • Manage capacity planning and cost optimization for cloud resourcesWhat you'll bring to the team, • Bachelor's degree in Computer Science, Engineering, or related technical field, • 8+ years of professional software engineering or infrastructure experience, • Extensive experience with AWS cloud services and infrastructure management, • Extensive experience with infrastructure as code (Terraform, Pulumi), • Strong background in systems engineering, networking, and distributed systems, • Expertise in containerization and orchestration (ECS, EKS)Proficiency in languages (Java, Go, Rust, or similar) for automation and tooling, • Deep understanding of security principles and secure infrastructure practices, • Experience with high-availability systems and disaster recovery planning, • Exceptional problem-solving skills with a reliability and security focused mindsetBonus points if you have experience with these technologies, • Microservices architecture and service decomposition strategies, • Observability tools (Prometheus, Grafana, Sentry, etc.), • Database administration and optimization (PostgreSQL, Redis, AWS RDS), • AWS security services (GuardDuty, Security Hub, WAF, Shield, Config), • Cloudflare optimization and security configurations, • Github Actions workflows and deployment strategies, • Compliance automation for financial services (SOC2, ISO, PCI DSS), • Chaos engineering/resilience testing and reliability best practicesBenefits & Perks, • Competitive compensation, • Equity ownership, • Flexible vacation policy, • Paid parental leave, • Full medical, dental, and vision insurance

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Infrastructure Engineer - this is a fully remote role for US based candidates, they need to work EST schedule. Salary range: 170-220K USD yearly plus benefits. Our mission is to transform how money moves. We believe stablecoins will underpin a new financial fabric, one that is faster, more global, and more efficient than today's siloed systems. That is why we are building AUSD and the stack, a full service platform that makes issuing, managing, and integrating stablecoins seamless, whether you're a developer, fintech, or institution. With AUSD, stablecoins become programmable, composable, and ubiquitous by default. We believe digital dollars should be a public good: trusted, accessible, and built for real-world utility. Our mission is to drive adoption through customizable, user-friendly on-ramps that make stable, dollar-based value available on-chain. We're backed by world-class investors including Paradigm and Dragonfly, and we're growing a team to reimagine how value moves online. We're intentional about who we bring on. If you're passionate about stablecoins and want to help create more open, intuitive ways for people to engage with money, let's talk. ABOUT THE TEAM We bring the discipline of high-performance finance teams and the creativity of a fast-moving crypto-native startup. We're a small, mission-driven group of builders who move fast, sweat the details, and hold a high bar for excellence, in product, code, and culture. You'll be joining a tight-knit team that values clear thinking, extreme ownership, and high-velocity decision making. We operate in short feedback loops, support one another without ego, and are deeply motivated by the opportunity to build foundational infrastructure for the future of money. JOB SUMMARY We're looking for a Senior Infrastructure Engineer to design and build our internal platform that empowers product teams to ship software with confidence, reliability, and speed. This role brings a Software Engineering mindset to infrastructure: building reusable abstractions, internal services, developer tooling, and infrastructure primitives that reduce cognitive load for application teams and the Infrastructure team itself. You will own core platform components such as our TypeScript Pulumi codebase, Kubernetes-based runtime environments, and monitoring stack. The work centers on architecting scalable systems, enforcing engineering standards through code, and continuously improving developer experience through well-engineered platform capabilities. We value real-time collaboration and prefer candidates located close to Eastern Time, while welcoming exceptional engineers across Pacific Time through GMT. Regardless of where you are located, your working hours will need to have a majority overlap with ET business hours. BASIC QUALIFICATIONS * 5+ years of professional Software Engineering experience, including substantial work in Infrastructure and Cloud domains * Strong programming skills in TypeScript or another strictly typed language * Strong understanding of distributed systems fundamentals (availability, consistency, observability, fault tolerance) * Experience designing and maintaining infrastructure-as-code systems * Deep understanding of AWS architecture * Experience designing, operating, and scaling Kubernetes workloads * Proven ability to build reusable systems and abstractions rather than one-off scripts PREFERRED QUALIFICATIONS * Experience defining SLI’s/SLO’s, error budgets, and building incident tooling * Experience improving Observability practices, defining alerts, operational dashboards and business metrics * Familiarity with GitOps patterns and deployment automation technologies * Expertise in DevEx or Developer Productivity * Experience building Internal Development Platforms with focus on self-service and golden paths * Experience in maintenance and operations of production-grade systems and on-call rotations

Job DescriptionAbout Us Globaledit, a division of CoCreativ, is the leading SaaS platform for creative production workflow management. Our platform empowers top brands, retailers, and entertainment companies to collaborate more efficiently and bring content to market faster. We are expanding our product team to build new features, improve platform usability, and integrate emerging technologies that drive creative productivity. About the Role We’re looking for a Senior DevOps Engineer to take ownership of our cloud infrastructure, deployment pipelines, and system monitoring. This role is ideal for someone who is highly autonomous, thrives in complex problem-solving, and is passionate about building resilient, scalable serverless systems. You’ll play a critical role in ensuring our engineering teams can deploy code safely and efficiently, while continuously improving our AWS environment and DevOps processes. This role requires someone who’s just as comfortable rolling up their sleeves to debug a critical incident as they are stepping back to identify long-term architectural improvements or cost optimization opportunities. What You’ll Do • Own our AWS serverless infrastructure, including Lambda, API Gateway, Step Functions, S3, ECS, EFS, Route 53, and CloudFront., • Design, build, and maintain CI/CD pipelines, primarily in Azure DevOps (or comparable tools like TeamCity, GitHub Actions, etc.)., • Debug and resolve infrastructure issues end-to-end, understanding how data flows through our system and proactively identifying points of failure., • Implement and lead best practices for monitoring, alerting, and incident response using Datadog., • Establish and manage DevOps backlogs, priorities, and tasks independently, without needing constant direction., • Champion operational excellence by driving initiatives that reduce incidents, improve observability, and increase deployment confidence., • Collaborate closely with backend and frontend engineering teams to support deployment, configuration, and production readiness of new services., • Identify opportunities for cost savings and infrastructure right-sizing and drive those initiatives through to completion., • Contribute to documentation, process improvement, and DevOps tooling—leveraging automation wherever possible. Who You Are • 7+ years of DevOps or SRE experience, with at least 5 years in a Senior or Lead role., • Deep knowledge of AWS services, particularly in serverless architectures., • Strong understanding of how data flows through cloud-based systems, and where failures are likely to occur., • Proficient with CI/CD pipelines—experience with Azure DevOps is preferred, but equivalent tools are acceptable., • Skilled in debugging, root cause analysis, and proactive infrastructure monitoring, ideally using Datadog., • Comfortable with coding and scripting (C#, NodeJS, Bash, etc.) and able to build infrastructure solutions hands-on., • Self-starter—you take initiative, organize your work, prioritize effectively, and don’t require micromanagement., • Calm under pressure during incidents, but focused on preventing them through automation and systems design., • Excellent communicator who can explain technical problems and solutions to various stakeholders. Nice to Have • Advanced AWS knowledge and certifications, • Experience with SRE practices, SLOs, SLIs, and service monitoring, • Cost optimization experience in AWS environments, • Previous experience building observability systems with Datadog from the ground up, • Hands-on development experience from ideation to production deployment, • Comfortable coding solutions without over-reliance on AI coding tools, but savvy in using them for productivity when appropriate Benefits The anticipated salary range for this role is $150,000 - $175,000 annually. Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience, and skills relative to the defined job requirements. This is a hybrid role with several days per week onsite in our studios in Tribeca and requires flexibility to work in-office and remotely. We offer a competitive benefits package including major medical, dental and vision insurance, FSA, HSA, and employee discounts. Industrial Color is a division of CoCreativ, a family of integrated creative production companies. Industrial Color partners with top brands, agencies, and creative professionals providing a full range of essential production services. For over 30 years, we've led the industry through a culture of innovation, bringing state-of-the-art digital production and post-production solutions to our clients. Our headquarters is based in Tribeca, NY, with offices in Los Angeles and studios in Brooklyn and Los Angeles. Our clients include: L'Oreal, Publicis, Procter & Gamble, Tommy Hilfiger, Absolut Vodka, Nike, Estee Lauder, Amazon.

Job Description Machine Learning Engineer / AI Engineer Newark, NJ Salary: $120,000 – $180,000 Description / Position Overview This role owns the design, deployment, and long-term performance of production machine learning systems that power data-driven products and operational intelligence. The Machine Learning Engineer is responsible for translating business problems into scalable AI solutions. This includes building end-to-end pipelines, deploying models into production environments, and continuously improving model performance. This is an engineering execution role, not a research-only position. Success requires the ability to move models from experimentation to reliable production systems that drive measurable product and operational impact. Requirements • Experience building and deploying machine learning models in real-world production environments, • Strong Python programming capability and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Understanding of statistics, probability, and optimization techniques used in machine learning systems, • Experience working with large-scale structured and unstructured datasets, • Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure, • Ability to build and manage scalable data pipelines supporting ML workflows, • Strong collaboration skills working with product, engineering, and data teams Responsibilities Machine Learning Development • Design, train, and optimize machine learning models for real-world business applications, • Build end-to-end ML pipelines including data ingestion, preprocessing, training, and evaluation, • Select appropriate algorithms and modeling approaches based on problem context, • Continuously improve model performance through experimentation and iteration Production Deployment & Infrastructure • Deploy machine learning models into scalable production environments, • Build APIs and services that operationalize machine learning capabilities inside products and systems, • Manage the full model lifecycle including monitoring, retraining, and drift detection, • Ensure reliability, scalability, and maintainability of ML infrastructure Data & Engineering Execution • Work with structured and unstructured data sources to support model development, • Implement feature engineering strategies that improve model accuracy and reliability, • Collaborate with data engineering teams to maintain clean and scalable data infrastructure, • Optimize model performance and resource efficiency in production systems Cross-Functional Collaboration • Partner with product and engineering teams to translate business needs into machine learning solutions, • Communicate technical insights and model behavior to non-technical stakeholders, • Contribute to AI roadmap planning and prioritization of ML initiatives Must-Haves • Proven experience deploying machine learning models into production environments, • Strong Python and ML framework expertise (TensorFlow, PyTorch, or Scikit-learn), • Experience building scalable ML pipelines and APIs, • Experience working with cloud infrastructure (AWS, GCP, or Azure), • Strong understanding of statistical modeling and machine learning fundamentals Final Invitation to Apply If you are a hands-on machine learning engineer who thrives on building real-world AI systems and taking models from concept to production impact, this is an opportunity to own meaningful technology that drives product innovation and operational performance. Contact Email Resume: Apply Online: Refer a friend, get up to $1000!

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at the Role: We are looking for a Business Systems Engineer with deep exposure to supply chain and operations workflows. This role will focus on designing, building, and supporting ERP customizations that power procurement, inventory, manufacturing, and fulfillment processes. The ideal candidate partners closely with business stakeholders to translate supply chain requirements into scalable NetSuite ( or Tier 1 ERP) solutions. Responsibilities: • Build and support supply chain related workflows including procurement, inventory management, demand and Supply planning, and manufacturing., • Support Assembly Builds, Work Orders, BOMs, and site consumables processes., • Develop custom records, scripts, workflows, saved searches, and SuiteFlow automations, • Design, develop, and maintain customizations using SuiteScript 1.0 and 2.x and SuiteFlow, • Integrate NetSuite with external systems such as WMS, TMS, planning tools, and vendors using REST, SOAP, EDI and/or middleware platforms, • Develop NetSuite enhancements related to direct procurement and MRP, system configurations for Direct procurement flows like item setup, PO creation, Blanket POs, vendor assignment, receiving, and inventory., • Support NetSuite upgrades, testing cycles, and deployment activities, create technical documentation and support knowledge transfer to admins and users., • Collaborate with the business to prioritize enhancements, bug fixes, and automation, handle user roles and permissions, and workflow configurations., • Experience Implement and execute IT Controls for SOX. Requirements:, • Bachelor's degree in Information Systems, Computer Science or Supply chain related engineering field., • 5+ years experience in a technical role with deep experience in Supply chain areas with procurement, MRP and inventory in capital-heavy business like manufacturing or Data centers., • Familiar with inventory costing principles and 3-way match processes, knowledge of multi location inventory and warehouse transfers., • Excellent cross-functional collaboration skills building and building customizations using SuiteFlow, Suitescript and supporting integrations with NetSuite., • Experience integrating with 3PLs over EDI, using platforms like Workato/ Orderful, • Experience with NetSuite modules such as Advanced Inventory, Manufacturing, Supply Planning, MRP and SCM, • Strong communication skills and ability to work with both technical and non technical stakeholders, troubleshooting production issues and provide root cause analysis and long term fixes, • Ability to balance tactical support with strategic system improvements, comfortable working in fast paced, evolving environments, • Knowledge of Procurement Automation tools like Squareworks is a big plus. 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 DescriptionABOUT US: Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always available, and ready to take action. Power better support, sales, and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene, helped build Angi (Angie’s List, HomeAdvisor, and Handy) to over $1.5B in revenue. Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew, and Emergence Capital. Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings! We’re moving fast, and the numbers speak for themselves:- Partnered with enterprise brands like Google, AAA, Ro, Coursera- Raised $82M (top tier investors including Emergence & Homebrew)- Completed 250MM+ calls- Driven $7B revenue for customers- Scaled to $## ARR- Built amazing NYC (Midtown) in office culture ABOUT THE ROLE:We are looking for a Senior DevOps / Platform Engineer to design and operate the internal platform that enables engineers to ship quickly, safely, and reliably. This role goes beyond infrastructure management; you will build systems that make deployment, observability, scaling, and incident response increasingly automated and self-service for product teams. A key part of this role is supporting our AI-native engineering strategy: enabling the tools, environments, and workflows that allow our engineers to work effectively with AI coding assistants and agentic workflows at scale. OUR STACK: • Cloud: AWS, • Compute: ECS Fargate, Lambda, Event-Driven Services, • Infrastructure as Code: Terraform, • Languages: Python, TypeScript, Bash, • Datastores: Aurora Postgres, DynamoDB, Redis (Elasticache), OpenSearch, • Streaming & Queues: Kinesis, SQS, BullMQ, • CI/CD: GitHub Actions (Enterprise), • Observability: Datadog, AWS CloudWatch, • Architecture: Containerized APIs, Serverless Processing, Distributed Systems, • Designing and maintaining Infrastructure as Code using Terraform to provision and manage AWS infrastructure., • Building and evolving internal developer platforms (IDPs) that establish a golden path. These are opinionated, self-service workflows for deployment, environment provisioning, and operational tooling, so engineers spend less time on undifferentiated infrastructure decisions., • Supporting self-serve developer environments that enable engineers and AI agents to iterate quickly and independently., • Enabling and scaling AI-assisted engineering operations, including access management, adoption visibility, and developer productivity measurement across the team’s AI tooling., • Improving system reliability, scalability, and performance across distributed services and real-time workloads., • Optimizing CI/CD systems to reduce deployment friction and accelerate engineering feedback loops., • Operating production systems with strong ownership of uptime, incident response, and recovery automation., • Partnering with engineering teams to improve service architecture, resiliency, and operational maturity., • Improving cost efficiency and infrastructure utilization across AWS and other infrastructure., • Supporting secure and compliant cloud infrastructure aligned with SOC2 and enterprise security practices., • Participating in on-call rotations. ABOUT YOU: • 5+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure roles., • Deep experience operating production workloads on AWS., • Strong hands-on experience with Terraform or comparable IaC tooling., • Experience running containerized and serverless systems at scale., • Strong understanding of distributed systems reliability and failure modes., • Experience building CI/CD pipelines and developer automation tooling., • Experience with observability platforms such as Datadog, Prometheus, or OpenTelemetry., • Familiarity with incident response, on-call operations, and production debugging., • Working knowledge of networking, IAM, and cloud security best practices., • Comfortable collaborating across engineering teams and influencing technical direction.NICE TO HAVE:, • Experience building or operating Internal Developer Platforms (IDPs) with golden path tooling., • Experience building or managing self-serve developer environments at scale., • Exposure to AI coding tools (e.g., code assistants, agentic coding workflows) and the infrastructure required to support them., • Experience supporting AI/ML or real-time workloads., • Cost optimization and cloud efficiency initiatives., • Exposure to compliance frameworks (SOC2, HIPAA, PCI).BENEFITS/PERKS:, • We care about your health!, • Medical, Dental, and Vision plans - 80% covered by the company, • Flexible PTO & 11 paid holidays/year, • We care about future you!, • 401k Plan, • Paid parental leave, • Pre-tax commuter benefits, • We care about connection!, • In-office breakfast and snacks daily, • Happy hours, team outings, & annual off-sites, • Complete laptop workstation

Job DescriptionSalary: We are looking for aSolutions Engineer, specialising in Search, or GenAI, or DevOps with strong Python skills, and with relevant work experience in a software product company. You'll be helping to deploy, customize and support the Squirro platform onUnix systems. Squirros Insight Engine platform uses state-of-the-art machine learning algorithms and natural-language processing tools to analyseunstructured data.We offer a flexible work environment. This position, within the global delivery team, will implement Squirros Search and Insights applications which also integrate Large Language Models (e.g. chatGPT) using real-world client data. About the role We are looking for someone who wants to use their affinity for technology in a business context where AI solutions bring massive business value. In this role, you might facecorporate bankers who are sourcing the next big M&A opportunity, or business stakeholderswho translate business requirements into technological products. We need someone who brings the enthusiasm and interest to grow into this role. Responsibilities: * Work with partners and customers on an operational level throughout the stages of solution qualification, implementation, and support. • Implement innovative digital transformation projects, primarily in the Finance & Public Sectors., • Collaborate with Business and Engineering team members on customer use cases to deliver the solution design with the aim of meeting or exceeding the business expectations., • Provide technical expertise and run tests on the requirements and suitability of Squirros modules and features with regards to the solution scopes from customers and partners., • Engage with technical users of all levels from Squirros ecosystem of partners and customers to provide technical guidance on the development, implementation and support of solution using Squirros modules., • Extending Squirros platform with custom backend components in Python and Bash within the platforms operational sphere., • Collaborate with Engineering team members on product features required by the market and contribute towards product development., • Deploying solutions on hybrid infrastructure within Linux environment, using infrastructure code tools such as Ansible., • Advocate the adoption of our Frontend BI dashboards and execute potential custom extensions to meet users strategic objectives for Insights from Squirros platform., • Drive the generation and maintenance of documentations throughout a Waterfall or Agile project lifecycle as part of Squirros knowledge sharing policies and culture., • Drive or support project management tasks in projects that are delivered by Squirro or our partners., • Ensure high-quality delivery of Squirros solutions and proactively manage risk and dependencies. Preferred experience: • Minimum 5 years intechnical consulting,software engineering, and/or DevOps engineering roles., • Minimum 3 years in aclient-facingrole as a point-of-contact for technical and non-technical users., • Experience in implementing a full project lifecycle based on Waterfall and Agile methodologies. Projectmanagement would be an advantage., • Experienced in working with Elasticsearch in production deployments. This involves things like relevancy-tuning Elasticsearch, efficient data modelling, optimizing search and indexing performance., • Experience in writing server-side web application logic and implementingREST APIs., • Experience testing code, debugging programs and integrating applications with third- party web services., • Experience inRedisand/orPostgres/MySQL/MariaDBdatabase management., • Experience performing system administration tasks onLinuxand shell scripting., • Experience working with application development usingmicroservices architecture., • End-to-end project delivery, including the setup and deployment of IT solutions for clients, data loading, data enrichment and analysis, data visualisation, and integration. Ideally, you also have: • Unstructured data on a previous project or role., • Natural Language ProcessingandMachine Learningknowledge., • Ability to communicate and coach complex technical concepts to various levels of external technical users such as from customers and partners., • Experience in building and maintaining project documentations to support implementations executed internally or by partners., • Experience in managing and communicating product documentations to an external ecosystem would be an advantage. Who you are: • You are a smart, open-minded and curious person., • You can deal with challenges and are able to find the best technical solution., • You can identify the root cause of a problem and name it., • Strong programming experience in Python., • Experience with using Linux, • Proven track record in software systems design, implementation and coaching., • Good communication skills and an easily adaptable team player. Our tools: • Core software: Python, JavaScript, GNU/Linux, • Data storage: Elasticsearch, Postgres/MySQL/MariaDB, Redis, • Web components: Flask, FastAPI, NGINX, • Frontend components: React, • Other: Atlassian (Jira, Confluence), Git What we offer: * A start-up like environment and culture, fast-paced and agile with quick decision-making. • An environment where team members at all levels can make a difference., • Opportunity to work on search and AI projects using cutting edge technologies., • Ongoing feedback as part of our working culture to grow and develop., • We believe in life-long learning and supporting the development of our staff. About Squirro Businesses capitalize on new opportunities, improve client relations, and optimize decision-making capabilities using Squirros vertical-specific Augmented Intelligence solutions, which combine human intelligence with powerful AI. An Insight Engine at its core, we deliver contextualized insights from your most relevant data sources and displays them directly, via workbench integrations, or through self-service applications. Squirro works with global organizations, primarily in the Financial Services, Insurance, Telecommunications, and Manufacturing industries. Customers include Bank of England, Standard Chartered Bank, the European Central Bank, Henkel, and Candriam (A New York Life company). Founded in 2012, Squirro is currently present in Zrich, London, Munich, New York, and Singapore. Further information about AI-driven business insights can be found at