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Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? • Competitive Base Salary, • Company paid health plan for employees, • Flexible Hours, • Very generous PTO, • Dental and Vision, FSA, HSA, • Small team, autonomy, • Many more great perks! Job Details Responsibilities: • Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)., • Ensure the robustness, scalability, and enterprise-level security of solutions., • Collaborate with the data science team to transform prototypes into new products, services, and features., • Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation., • Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity., • Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data., • Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices., • Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus., • Minimum of 6 years of experience as a Machine Learning Engineer or similar role., • Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting., • Proven experience in designing and implementing machine learning solutions at scale on AWS., • Solid experience in software development with a focus on quality, performance, and scalability., • Proven ability to design and implement robust data pipelines., • Strong experience with data modeling, data access, and data storage techniques., • Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders., • Strong problem-solving skills, attention to detail, and ability to think creatively., • Ability to work independently and as part of a team in a fast-paced, dynamic environment., • Strong passion for learning and adapting to new technologies., • AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. 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This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: Diversified global enterprise operating at the intersection of media, information services, and technology. With a long-standing history of innovation and reinvention, we support a broad portfolio of businesses spanning digital media, financial services, healthcare, data analytics, and software-driven platforms. Why join us? This is a chance to build the future of automation at enterprise scale. You won’t be maintaining legacy processes—you’ll be designing how systems integrate, how data flows in real time, and how AI-driven automation transforms IT operations. You’ll have the autonomy to shape the roadmap, deliver visible wins quickly, and influence how a large organization modernizes asset management and governance. If you’re a hands-on engineer ready to step into automation and AI leadership, this role offers real ownership, meaningful impact, and the opportunity to leave behind systems that are smarter, faster, and built to last. Job Details Director, Asset Automation & Systems Integration Job Description About the Role We are seeking a forward-thinking and highly technical Director of Asset Automation & Systems Integration to lead the transformation of enterprise asset management capabilities. This role goes far beyond traditional IT asset management. It is focused on building the foundation for a fully automated, AI-enabled future where disparate systems integrate seamlessly, data flows automatically, and manual reconciliations are eliminated. The ideal candidate is a hands-on technologist with proven experience in systems integration, automation, and modern infrastructure engineering. This role manages a small, established asset management team, but the primary focus is on designing and delivering next-generation solutions: connecting critical data sources to the CMDB, developing live integrations, enabling AI-driven automation, and shaping the long-term roadmap for automation and digital workforce capabilities. This is a rare opportunity to build the future of IT operations at scale and is well suited for an engineer with an identity, cloud, or network background who is ready to expand into AI and automation leadership. Key Responsibilities Systems Integration & Automation Design, build, and maintain integrations between CMDB platforms, identity systems, security tools, cloud services, and network portals. Evaluate failed or inefficient integrations, conduct retrospectives, and recommend scalable, sustainable solutions. Create and execute a technical roadmap to achieve live, automated data flows across the enterprise. AI & Automation Roadmap Drive adoption of AI tools and autonomous agents to enhance IT operations. Partner with automation teams to leverage shared toolkits and establish best practices. Position the asset management function for a future where governance and operations are highly automated. Leadership & Stakeholder Management Manage and mentor a team of asset management professionals, guiding them toward higher-value, automation- and AI-driven work. Collaborate closely with infrastructure, identity, cloud, network, and security engineering leaders. Engage senior leadership, providing clear updates, recommendations, and strategic guidance on automation initiatives. Strategic Delivery Deliver near-term automation wins while building toward long-term AI-enabled capabilities. Collect, analyze, and synthesize input from engineering and security teams to ensure the CMDB contains meaningful, actionable, and trusted data. Own retrospectives on unsuccessful initiatives and propose cost-effective, technically sound alternatives. Qualifications Technical Expertise (any of the following) Identity Engineering: Experience with modern identity platforms such as SailPoint, Okta, or equivalent. Cloud Engineering: Azure, AWS, or Google Cloud with hands-on experience in integrations and automation. Network Engineering: Strong experience with network portals, device integrations, and providers (e.g., Cisco, Meraki, Palo Alto). Required Skills Proven experience designing and implementing integrations across enterprise systems. Deep technical understanding of automation concepts, APIs, and system interoperability. Strong knowledge of data normalization, deduplication, and synchronization. Ability to create and execute a technical roadmap. Curiosity and demonstrated aptitude for AI and emerging automation technologies. Preferred Qualifications Prior leadership or small-team management experience. Experience with ServiceNow CMDB or equivalent platforms. Strong business acumen, with the ability to balance cost, efficiency, and risk in technical decision-making. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

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.

The Senior IAM Engineer will play a key role in designing, implementing, and operating enterprise identity and access management capabilities across Microsoft Entra ID and the organization's credential management systems to include PKI. This role requires deep technical expertise, hands-on engineering experience, and the ability to translate business and security requirements into secure, automated identity controls. 1. Microsoft Entra Identity Services • Design, implement, and maintain secure SSO integrations for SaaS and on-prem applications using SAML, OIDC, and OAuth2., • Lead the automation of user provisioning and deprovisioning workflows via Entra ID and SCIM-based integrations., • Develop and manage access reviews, entitlement management, and least-privilege policies using Microsoft Entra and Azure AD Identity Governance., • Implement and maintain conditional access policies, MFA configurations, and group-based access controls., • Collaborate with application owners and security teams to ensure consistent identity lifecycle management across hybrid cloud environments. 2. PKI and Credential Management • Design, implement, and operationalize enterprise PKI infrastructure, including certificate authorities, registration authorities, and certificate templates., • Enhance and automate certificate enrollment, renewal, and revocation workflows across servers, applications, and end-user devices., • Integrate certificate-based authentication (CBA) with identity platforms and endpoint management systems., • Develop policies and processes for credential issuance, rotation, and lifecycle management., • Bachelor's degree in Computer Science, Cybersecurity, or related field (or equivalent experience)., • 5-8 years of experience in IAM engineering or related security infrastructure roles., • Deep knowledge of Microsoft Entra ID (Azure AD), identity protocols (SAML, OIDC, OAuth2), and lifecycle management best practices., • Experience implementing Entra ID Identity Governance features (access reviews, entitlement management, PIM)., • Strong expertise with PKI technologies (Microsoft ADCS, cloud-based CAs, HSM integration, CRLs, and certificate automation)., • Familiarity with modern credential management tools (e.g., Venafi, Keyfactor, HashiCorp Vault, or Azure Key Vault)., • Hands-on scripting experience (PowerShell, Python, or similar) for automation and API integrations., • Experience with identity federation and hybrid cloud IAM architectures., • Prior experience integrating EntraID (or other IDP) with SAP GRC Access Management and/or SAP IAS., • Knowledge of device identity, machine certificates, and code-signing processes., • Strong troubleshooting and documentation skills., • Strong Microsoft based skills as it relates to IAM., • Streamlined identity lifecycles with measurable improvements in provisioning efficiency and access compliance., • Automated certificate management processes reducing human intervention and outages. Chobani uses food as a force for good in the world - putting humanity first in everything it does. The company's philanthropic efforts prioritize giving back to its communities and beyond. Chobani manufactures its products inNew York,Idaho,MichiganandAustralia, and its products are available throughoutNorth Americaand distributed inAustraliaand other select markets. For more information, please visit___ or follow us on Facebook, Twitter, Instagram and LinkedIn. Chobani is an equal opportunity employer. Chobani will not discriminate against any applicant for employment on any basis including, but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, military and/or veteran status, marital status, predisposing genetic characteristics and genetic information, or any other classification protected by federal, state, and local laws. The salary range for this full-time position is $105,500.00 - $151,000.00, + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Chobani provides a comprehensive benefits package, including medical, dental, vision coverage, disability insurance, health savings account, flexible spending accounts, and tuition reimbursement. To help save for the future, all employees are eligible for a 401k match of 100% on up to 5% of eligible pay. To support growing families, we provide fertility and childcare assistance, and 12 weeks of parental leave at full pay after six months of continuous employment. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, a wellness reimbursement, on-site gym access (certain locations) and a monthly wellness newsletter to connect you with resources and timely information. We offer various types of paid time of including: 120 hours of paid time off, 11 holidays, and paid volunteer time off.

Computer Science or a related technical discipline, or equivalent experience7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on

Computer Science or a related technical discipline, or equivalent experience7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on s

Computer Science or a related technical discipline, or equivalent experience7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on s

Pre-Sales Engineer, CybersecurityThis role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. Job Description:Hewlett Packard Enterprise (HPE) is redefining secure connectivity from edge to cloud, and we are looking for a Cybersecurity Pre-Sales Engineer t

Industry-recognized cloud certifications (AWS Certified Developer, Azure Developer Associate, GCP Professional Developer, or equivalent). Position Summary Engineering Foundry/Software Engineering Development - Full-stack Developer/Consultant/Software Engineer - II Join our AI & Engineering te

About the RoleProduction Engineering ensures CoreWeave’s cloud runs with world-class reliability, performance, and operational excellence. As a Production Engineer on Herd, you’ll define and build the systems that power a scalable agentic ecosystem. You’ll design distributed services and data

Division: New York Main Project Location(s): New York, NY 10001 USA Minimum Years Experience: Travel Involved: 10-20% Job Type: Regular Job Classification: Experienced Education:Bachelors Degree Job Family:Construction Compensation:Salaried Exempt Job Title: Project Engineer City: New York State: NY JOB DESCRIPTION: • Lead, mentor, and support development of project engineering staff; participate in recruiting and onboarding efforts, deliver timely performance feedback, contribute to annual performance reviews, utilize talent development tools, and identify training opportunities aligned with project and individual development goals., • Establish and manage project communication protocols using platforms using Procore and Autodesk Construction Cloud to ensure efficient flow of information and approvals between the design team, consultants, owners, and trade partners. Lead coordination of OAC and internal meetings with clear documentation and follow-up., • Collaborate closely with Preconstruction and Procurement teams by providing detailed engineering insight during trade package development, focusing on scope clarity, constructability challenges, and site logistics. Leverage hands-on estimating experience across trades-including painting, specialties, demolition, and finishes-to support accurate scoping and buyout strategies, particularly on complex projects like active hospital renovations and occupied office fit-outs that require phasing, infection control planning, and coordination with ongoing operations., • Conduct constructability and quality control reviews of design and construction documents, proactively identifying gaps, coordination conflicts, or code compliance issues. Collaborate with the design team to resolve discrepancies while contributing to logistics planning, value engineering studies, and material or method recommendations-drawing on practical field experience in engineering and superintending to ensure buildable, cost-effective solutions., • Assist in development and review of trade partner Scope of Work (SOW) documents, ensuring clarity and completeness for bidding and contracting, incorporating lessons learned from field coordination and estimating roles., • Leverage BuildingConnected for estimating and budgeting efforts by soliciting trade partner bids, performing detailed bid leveling, and maintaining bid coverage across multiple packages to support cost certainty and informed procurement decisions., • Create and maintain procurement schedules for trade partners, major equipment, and long-lead materials in coordination with the project schedule using tools including Microsoft Excel, Touchplan and P6, ensuring alignment with construction milestones., • Prepare and track detailed project status updates and financial reports, collaborating with the project controls team to monitor budgets, forecasts, and cash flow projections, utilizing knowledge from estimating and cost tracking experience., • Schedule, facilitate, and document project meetings including internal coordination, subcontractor meetings, and Owner-Architect-Contractor (OAC) sessions, ensuring all action items are recorded and addressed using Procore., • Utilize SAP for comprehensive change order management, including tracking of trade partner proposals, internal cost exposure, owner-directed changes, and contract revisions. Facilitate owner negotiations by clearly presenting scope changes, supporting cost breakdowns, and providing backup documentation to justify changes. Ensure accurate documentation and timely approvals throughout the lifecycle of the project by maintaining detailed change order logs, collaborating with internal teams and owners for thorough reviews, and aligning all changes with project budget forecasts and contractual requirements., • Conduct data analysis and project cost reporting using Microsoft Excel to track estimate-to-actual trends, analyze buyout savings, monitor trade partner productivity, and prepare visual dashboards that support project reviews and executive reporting., • Lead project close-out efforts, including punch list coordination, turnover documentation, O&M manual compilation, warranty submissions, trade close-out tracking, and archival of records for future reference using Procore. EDUCATION AND EXPERIENCE REQUIREMENT: Requires a Bachelor's degree in Architecture and 3 years of experience in job offered or 3 years of experience in the Related Occupation. RELATED OCCUPATION: Assistant Estimator or any other job title performing the following job duties: • Assisting with project document management by reviewing drawings, specifications, reports, and stakeholder inputs; maintaining organized records and distributing information to relevant parties., • Performing quantity take-offs and preliminary assessments from architectural plans and field conditions to support estimating, progress tracking, and feasibility studies., • Supporting preparation of cost estimates and budgets by analyzing scope requirements, evaluating proposals, and conducting variance analyses to inform project decisions., • Drafting and processing project communications including RFIs, clarifications, assumptions, and narratives to resolve design or scope ambiguities and mitigate risk., • Serving as a liaison with stakeholders (trade partners, architects, engineers, consultants, clients, and government bodies) to coordinate technical inputs, scope clarifications, and project deliverables., • Evaluating trade partner or consultant proposals for scope, compliance, and cost, and documenting findings for project leads or client review., • Supporting change management and scope alignment by reviewing field progress, identifying scope gaps or overlaps, and assisting with change order preparation and tracking., • Participating in value management efforts by analyzing design alternatives, constructability issues, and site or regulatory constraints to recommend cost-efficient and effective solutions., • Contributing to bid and proposal development by compiling technical documentation, organizing supporting data, and coordinating with project teams to meet submission requirements., • Assisting in project planning and scheduling efforts by supporting site logistics, mobilization planning, and sequencing of work to align execution with project requirements., • Monitoring and analyzing productivity and progress trends against budgets, estimates, or feasibility benchmarks, and reporting variances to support informed decision-making. Turner is an Equal Opportunity Employer - race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other characteristics protected by applicable law. Apply NowShare Save Job

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 looking for a Google Management Engineer to join our team. The ideal candidate will have experience in managing and optimizing Google Cloud Platform (GCP) services for our educational projects. Proven experience as a Google Cloud Platform Engineer or similar role.

Our client, a leading organization in enterprise infrastructure and cloud solutions, is seeking an Infrastructure Engineer to join their team.As an Infrastructure Engineer, you will be part of the LEANQG - SOFTWARE-DEFINED NETWORK team supporting critical infrastructure projects.The ideal candidate

Bloomberg's Network Production Engineering - Public Cloud (NPE-PC) team builds and evolves the hybrid cloud networking platform that enables Bloomberg applications to run reliably, securely, and at scale across multiple public cloud providers. You'll join a team building the next generation of Bloom

As a Practice Customer Engineer (CE) with a specialty in Cloud AI, you will partner with technical sales teams to differentiate Google Cloud to our customers. When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. You liaise with the product

As a Customer Engineer (CE) with a specialty in Cloud AI, Healthcare and Life Sciences (HCLS), you will partner with technical sales teams to differentiate Google Cloud to our customers. Customer Engineer I, Cloud AI, HCLS, Google Cloud. When leading companies choose Google Cloud, it's a huge win fo

CTG's client is seeking a Cloud & Platform Security Engineer to design, implement, and maintain secure cloud and platform solutions, ensuring alignment with security policies, compliance standards, and best practices. Experience with IaC tools (Terraform, CloudFormation), container security, microse

A Cloud Security & Networking Engineer with strong experience in Azure and hybrid cloud environments, and deep understanding of secure connectivity patterns including interconnects, FastConnect, ExpressRoute, and BGP-based routing. Design and implement secure cloud networking architectures across Az

Proven experience with Google Cloud and/or Google enterprise platforms; exposure to AI/agent platforms or automation tools is preferred. KPMG is currently seeking an Associate Director, Technology Innovation - Google Engineer to join our Digital Nexus technology organization. Partner with Google and

Senior Lead AI Engineer (GenAI Platform). Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. AI solutions on cloud platforms (e.

AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus. In data engineering at PwC, you will focus on designing and

Zero Trust, Networking, Network Security, SaaS Security or SSE/SASE. You evangelize our industry leadership in on-prem, cloud, and security services that establish Palo Alto Networks as a customer's cybersecurity partner. As a Channel Systems Engineer, you provide technical expertise and guidance in

Insight Global is looking for a Google Cloud Engineer to join one of our largest financial clients in Jersey City, NJ or Pittsburgh, PA. This role involves designing, developing, and deploying cloud solutions with a focus on infrastructure as code, cloud migrations, and integration with security fra

Join our dynamic technology team as a Site Reliability Engineer (SRE) or Platform Engineer, where you'll play a central role in building, automating, and maintaining our modern infrastructure across both on-premise and cloud environments.Bachelor's degree in Computer Science, Engineering, or a relat

As a high performing Sales Engineer or Senior Sales Engineer, you will work with our prospects and clients to craft enterprise-wide cloud data security and data risk management solutions. Sales Engineer Or Senior Sales Engineer. Previous Cloud, TDR, CASB, DLP or data security experience in a Sales E

Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI). Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. AI solutions on cloud platforms (e.

CTG is seeking a Senior Cloud Desktop Engineer to support the global migration from legacy VDI to modern cloud desktop environments.Manhattan, NY (onsite 3 days/week).Design, implement, and optimize cloud desktop solutions (Azure Virtual Desktop, Citrix, or similar).Collaborate with global teams on

You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. Customer Engineer II, Platform, Google Cloud, BioPharma. Experience with cloud engineering, on-premise engineering, virtualization, or containeri

Microsoft certifications such as Azure Solutions Architect or M365 Certified: Modern Desktop Administrator Associate are preferred.

Hands-On coding in Java , Micro Services, Spring Boot , Kubernetes , Cloud Computing , Oracle , Kafka. Hands-On coding in Java , Micro Services, Spring Boot , Kubernetes , Cloud Computing , Oracle , Kafka.

Job Description * Candidates with fake experience are advised not to apply. To avoid fake experiences, if the client decides to interview you, they will validate all previous experiences for all projects as well as work documents (h1B, EAD, GC). Please be prepared to provide these. Any fraudulent document will be forwarded to USCIS fraud division by default. This job is hybrid in Newark NJ This position will be hybrid in NJ Transit HQ, 283-299 Market St. Newark, NJ 07102 Our direct client has an opening for Cloud Infrastructure Engineer (759097) This position is for 6 months, with the option of extension, and is the client is located in Trenton, NJ WE CAN WORK CORP TO CORP OR W2. If you are interested, please submit the following: YOUR CURRENT RESUME YOUR HOURLY RATE Experience planning and executing migration of on-premises to cloud based server environments Required 6 Years Azure, AWS, Microsoft Required 6 Years Linux server environments and OS installation & management. Required 6 Years Microsoft Active Directory, Microsoft Exchange, Microsoft Office 365, Windows Severs, Linux Servers, AWS SysOps, VMware vSphere Required 6 Years DevOps toolsets, such as GitHub, Terraform and Ansible. Required 6 Years

Job DescriptionWe are looking for a skilled Forward Deployed Engineer to join our dynamic team in New York, New York. In this role, you will leverage your expertise in software engineering to deliver innovative solutions that align with client needs and business objectives. You will play a pivotal role in developing, deploying, and maintaining features while fostering strong relationships with both internal and external stakeholders. Responsibilities: • Write and review code daily, contributing to integrations, enhancing platform functionality, and resolving technical challenges., • Manage the development lifecycle of features from gathering requirements to testing, deployment, and monitoring., • Collaborate with engineering teams to refine and improve the platform using insights from client interactions., • Design and implement scalable solutions that meet client needs while supporting broader platform objectives., • Act as a technical advisor for client teams, building trust and ensuring clear communication., • Oversee all technical aspects of onboarding, from contract initiation to successful product launch., • Identify and implement improvements to streamline onboarding processes, focusing on self-service capabilities., • Coordinate with internal teams, clients, and external vendors to ensure seamless delivery., • Work with Operations and Customer Success teams to prioritize and deliver impactful product enhancements.• Extensive experience with React and Node.js, with a proven ability to write and review code effectively., • Strong communication skills to translate technical concepts into business-focused language., • Demonstrated success in leading technical projects, including implementation and decision-making responsibilities., • Ability to transform client requirements into production-ready, scalable solutions., • Proven track record of managing relationships across diverse stakeholders, including clients and partners., • Experience identifying gaps in technical processes and implementing effective improvements., • Proficiency in JavaScript, serverless computing, and cloud technologies., • Familiarity with Express.js and NoSQL databases.

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Backend Engineer - DeFi - this is a fully remote role for US based candidates. We are a stablecoin platform for builders. With us, developers can create their stablecoins in minutes by extending $M - our superior digital-dollar building block, and customize attributes such as branding, compliance behaviors, and yield distribution mechanics. By extending $M into their own stablecoin, businesses can monetize their digital dollar use cases and maintain control over their money tech stack, while not being burdened by operational heavy-lifting. We are seeking an experienced Protocol Backend Engineer to join our growing team. In this role, you will enhance the growing set of $M Extensions projects, support partners' technical teams, improve existing products, and create and maintain comprehensive documentation. Key Responsibilities: * Design and develop automated onchain minting and cross-chain stablecoin liquidity management solutions. * Deploy modern web applications using best practices to ensure security, compliance, security, and high availability. * Implement monitoring and alerting systems to deliver high-uptime, low-latency user experiences. * Mentor mid-level engineers, conduct code reviews, and foster a culture of knowledge sharing and best practices. * Promote engineering excellence and agile practices to deliver projects on schedule and within budget. Qualifications: * 7+ years of professional experience in software engineering, with strong proficiency in TypeScript and/or Rust. * Basic understanding of smart contract development for EVM-compatible chains, and optionally for non-EVM chains such as Solana, Sui, and others. * Advanced backend experience with proven history of building scalable RESTful and GraphQL APIs. * Prior experience with the Fireblocks API is a plus. * Direct experience with DeFi applications, including lending, derivatives, AMMs, and stablecoins, with the ability to design and implement complex on-chain financial logic. * Practical experience deploying and managing applications across multi-region cloud platforms. * Proficient with CI/CD processes and containerization tools (Docker, Kubernetes). * Excellent written and verbal communication skills. Skills & Attributes: * Proactive problem solver: You have a forward-thinking mindset, actively identifies opportunities for improvement, and takes decisive action to resolve issues efficiently and effectively. * Collaborative communicator: You foster relationships with finance experts, blockchain specialists, back-end developers and designers. * Team-oriented mindset: You are always ready to help colleagues within and outside your team and seek assistance when needed * Delivery-focused: You have a clear understanding of the objectives and goals and direct your efforts towards achieving them. * High level of autonomy. Compensation: * Competitive compensation (base salary with equity/ token grant) commensurate with experience. Benefits: * Global team and flexibility: Join a truly global team with the flexibility to work remotely or from one of our hubs in NYC or Berlin. * Health and wellness: Enjoy comprehensive healthcare insurance coverage as well as a wellbeing allowance and gym membership to support your physical and mental health. * Customizable IT setup: Tailor your workspace with access to top-notch IT equipment. * Professional development: Benefit from an annual development budget to enhance your skills and grow professionally, including opportunities to participate in conferences and on-site company events worldwide. Compensation & Package Base Salary + Equity/Tokens

Job Description Our client is a funded Fintech Startup software company located in Manhattan, NY and they are currently looking for a Senior SDET to join their team. This role is hybrid on-site in their NYC office 3-4 days / week. Qualified candidates should have 7-10+ years of professional experience working as a Software Engineer or SDET. The tech stack is Golang, React.js, and cloud services and candidates must demonstrate the ability to write quality code, create custom automation frameworks and tools. You must be a self-starter with an interest and/or experience working in a fast-paced, nimble startup environment. BSCS or equivalent is desired. This role features competitive compensation, equity, comprehensive benefits including medical, dental, vision and 401(k). Please apply to for immediate consideration.

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 DescriptionScope of RoleDesign, integrate, and operate LLM-powered and agentic workflows for claims data. Build and maintain HIPAA-compliant systems for sensitive healthcare data. Lead decisions around security, compliance, cost, performance, and scaling of AI workloads. Implement robust monitoring, alerting, and observability systems for AI pipelines and production modules. Collaborate cross-functionally with engineering, product, and operations teams to integrate AI capabilities into Torch’s platform. Mentor and guide other engineers on best practices on both backend engineering and agentic workflows.MUST HAVE SKILLS5+ years of experience in software engineering. Strong experience with cloud platforms (AWS, GCP, Azure) and deploying secure, compliant workloads. Demonstrated record of building scalable, secure, and reliable systems. Comfortable collaborating with non-engineers, including product managers, designers, and business stakeholders. Bonus: 1+ year of experience designing AI workflows end-to-end Experience leading AI infrastructure projects end-to-end in a startup environment Contributed to architecture or coding standards for engineering teams. Experience in early-stage product ideation and design for AI-enabled features. Hands-on experience with containerization/orchestration (Docker, Kubernetes) and infrastructure-as-code tooling (Terraform, Pulumi) for provisioning and managing cloud resources.

Job Description Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automates the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow. High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance. Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI. About the role You’ll be the first Data Engineer at Tabs, building the core data infrastructure that powers our internal KPIs, customer insights, and our AI systems. Your initial mandate is to design and implement the foundational data platform around our core metrics, and set us up for long-term analytical scalability. This role is ideal for an engineer who has built a data platform end to end and wants ownership of the full data stack. You’re comfortable operating in ambiguity and focused on driving real business impact. What you’ll do * Design and implement our first scalable data warehouse/lakehouse to support KPIs. * Build and maintain reliable data pipelines (batch and/or streaming) from application databases and third-party tools. * Work with leadership to translate business metrics into concrete data models and schemas. * Define and own data modeling standards and best practices. * Implement monitoring, data quality checks, and observability around pipelines and core tables. * Enable BI and data analysts through well structured models and self-serve friendly datasets. * Document the data platform (lineage, definitions, contracts) and help establish a shared source of truth for metrics. Experience * 3–5+ years of experience as a Data Engineer, ideally in a mid-stage startup. * Solid programming skills in Python. * Strong SQL skills and experience designing/data modeling for analytics * Hands-on experience with a modern cloud data stack, such as: * Warehouses: Snowflake, BigQuery, Redshift, Databricks, etc. * Orchestration/transformation: dbt, Airflow, Dagster, or similar. * Ingestion: Fivetran, Stitch, custom ingestion pipelines, etc. * Experience building and operating production-grade data pipelines (performance, reliability, cost-awareness). * Strong understanding of data quality, testing, and monitoring practices. * Comfort starting from a relatively greenfield environment and making pragmatic build vs. buy decisions. Nice to have * Experience supporting BI tools (Looker, Mode, Tableau, Metabase, etc) and designing semantic layers. * Experience in B2B SaaS, especially around revenue, usage, and customer health metrics. * Prior experience as an early data hire or working in a small or medium, fast-growing startup. Perks and Benefits (Full-time Employees) * Competitive compensation and equity * Unlimited PTO * Up to 100% employer covered monthly healthcare premium (medical, dental, vision) * Lunch provided via Sharebite, plus dinner for any later office days. * Parental leave up to 12 weeks * Tax free commuter and parking benefits * Voluntary insurances (Life, Hospital, Critical Illness, Accident) * Employee Assistance Program (Rightway) * 401k Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We’re committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves. Compensation Range: $140K - $195K

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 the Role A fast‑scaling, AI‑native healthcare platform is seeking a Full‑Stack Engineer with strong Python and React experience. This is a high‑impact opportunity to build foundational systems that directly improve patient access to specialty medications. You'll work in a startup environment where ownership, speed, and collaboration matter. What You'll Do • Design, build, and maintain full‑stack features using Python (backend) and React (frontend), • Develop APIs and backend services that power core workflows in specialty medication access, • Build intuitive, high‑performance interfaces for providers, care teams, and operations staff, • Translate complex healthcare workflows into scalable, elegant software solutions, • Write clean, maintainable, well‑tested code, • Participate in architectural discussions and influence core technical decisions, • Contribute to performance, reliability, and security best practicesWhat You Bring, • 2+ years of professional full‑stack engineering experience in a startup environment, • Strong proficiency in Python (Django, FastAPI, Flask, or similar), • Strong proficiency in React (hooks, state management, modern frontend patterns), • Experience building and consuming RESTful APIs, • Familiarity with relational databases (PostgreSQL, MySQL, etc.), • Ability to thrive in fast‑moving, ambiguous environments, • Strong communication skills and cross‑functional collaborationNice to Have, • Experience in healthcare, health tech, or regulated environments, • Familiarity with cloud infrastructure (AWS, GCP, Azure), • Experience with CI/CD pipelines and Docker, • Interest in AI‑driven systems, intelligent automation, or agentic workflowsWho Thrives Here, • Engineers who want meaningful ownership, • Builders who enjoy solving complex, real‑world healthcare problems, • Candidates with stable, growth‑oriented career paths (not freelance/contract heavy), • Those who want to help define the technical foundation of an AI‑native platformAdditional Details, • Full‑time role, • Partial benefits, • Bachelor's degree required

Job DescriptionAbout the Role A growing technology startup is hiring a Senior Full Stack Software Engineer to help build and scale its core product. This engineer will work across the frontend and backend, contributing directly to customer-facing features as well as internal systems. The role offers a high level of ownership and influence over technical decisions in a fast-paced environment. This position is well-suited for an engineer who enjoys working closely with product and design, shipping quickly, and improving systems over time. What You’ll Do * Build and maintain full stack web applications used by customers and internal teams * Develop scalable backend services and APIs to support product features * Implement modern, responsive frontend interfaces with a focus on usability and performance * Collaborate with product managers and designers to define requirements and deliver solutions * Contribute to architectural decisions and technical roadmap planning * Write high-quality, well-tested code and participate in code reviews * Help improve engineering processes, tooling, and system reliability * Mentor junior engineers and contribute to a strong engineering culture Tech Environment The engineering team works with a modern startup stack, including: * Frontend: React, TypeScript, Next.js * Backend: Node.js (Express or NestJS) and/or Python (Django or FastAPI) * Databases: PostgreSQL, Redis * Cloud & Infrastructure: AWS or GCP, Docker, CI/CD * APIs: REST and GraphQL * Tools: Git, GitHub, modern monitoring and logging tools What We’re Looking For * 5+ years of professional software engineering experience * Strong full stack experience with modern JavaScript/TypeScript * Proven experience building and maintaining backend services and APIs * Solid understanding of relational databases and data modeling * Experience deploying and operating applications in cloud environments * Ability to work independently and take ownership of projects * Prior experience in a startup or fast-moving product team is a plus Compensation & Benefits * Base Salary: $160,000 – $210,000 (San Francisco senior-level range) * Equity: Competitive equity package * Benefits: Medical, dental, vision coverage; flexible PTO; standard startup benefits * Work Model: Hybrid or remote-friendly depending on location and team needs Equal Opportunity This role is with an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, gender, sexual orientation, gender identity, age, disability, or veteran status.

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 DescriptionAbout the Company At Flow, we’re reimagining what it means to live, work, and connect. More than just a real estate company, Flow is a brand, a technology platform, and an operations ecosystem spanning condominiums, hotels, multifamily residences, and office spaces. We’re building a new kind of living experience: one that’s flexible, connected, and designed to create genuine community and real value for the people who call Flow home. Our mission is oneness: prioritizing our residents and their experiences, and fostering connection with ourselves, their neighbors, and the natural world. By putting people at the center of everything we do, we’re creating vibrant, human-centered communities where life, work, creativity, and play all come together in one place. About the Role As an early member of our engineering team, you will significantly influence the technical direction of Flow. We are in search of a Senior Platform Engineer who is not only enthusiastic about designing, developing, and deploying robust platform solutions but also committed to ensuring the reliability, scalability, and security of our system. Your contributions will be foundational in driving Flow towards achieving its goals and making a huge impact on the productivity of our product engineering team. At Flow, our mission is to utilize cutting-edge technology to enhance decision-making processes across the organization. As innovators in our domain, we aim to not only keep pace with the rapidly changing landscape of platform engineering but to be at the forefront of its evolution. Responsibilities: • Collaborate with product and engineering teams to define clear requirements and translate them into software solutions, • Core contributor to implementing foundational infrastructure, tooling and automation that is scalable, reliable, and secure, • Elevate site reliability engineering best practices while collaborating with back-end developers, • Develop service-level tooling to enhance productionization, data migrations, system hardening, and related initiatives, • Manage and optimize a multi-region environment, • Be available for on-call activities for infrastructure and servicesIdeal Background:, • A minimum 10 years in software engineering, site reliability engineering, or platform engineering, • Ability to design, implement and maintain the tools and systems that support service reliability, monitoring, and alerting, • Deep understanding of the principles of ensuring high availability, fault tolerance, and efficiency in distributed systems, • Experience with Infrastructure as Code (IaC): Proficiency with Terraform, • Experience with Kubernetes, • Experience administering cloud-based infrastructure (GCP preferred), • Experience troubleshooting production issues related to cloud infrastructure, configuration, monitoring, deployments, continuous integration and delivery, • A keen ability to balance elegant design with pragmatic tradeoffs, prioritizing continuous delivery of business value, • Ability to quickly learn and adapt to new skillsets, • Experience building software in fast-moving startup environments

Job DescriptionRole: Senior Quality Engineer with BDDLocation: New York/Fort Mill SC Mode: Hybrid Duration: Full time Job DescriptionWe are seeking a skilled Quality Engineer with hands-on experience in Behavior-Driven Development (BDD) to ensure the quality and reliability of our data ingestion and pipeline solutions. The ideal candidate will collaborate with cross-functional teams to define, implement, and automate BDD test scenarios for complex data workflows.Responsibilities • Collaborate with product owners, data engineers, and business analysts to define acceptance criteria and BDD scenarios for data ingestion and pipeline processes., • Design, develop, and maintain automated BDD test suites using frameworks such as Behave, Cucumber, pytest-bdd and Playwright for Ui validations., • Validate data integrity, transformation logic, and end-to-end data flow from source to target systems., • Identify, document, and track defects; work with development teams to resolve issues., • Integrate automated tests into CI/CD pipelines for continuous quality assurance., • Analyze test results, generate reports, and communicate findings to stakeholders., • Contribute to test data management and environment setup for data pipeline testing., • Stay current with industry best practices in data quality, test automation, and BDD methodologies.Required Skills & Qualifications, • Bachelor’s degree in Computer Science, Engineering, or related field., • 5+ years of experience in software quality assurance or test automation, preferably in data engineering environments., • Strong experience with BDD frameworks (Behave, Cucumber, pytest-bdd, Playwright) and Gherkin syntax., • Experience with Implementing Test Runners such as TestNG, Selenium WebDriver to run tests and document reporting and results., • Proficiency in Python, Java or another programming language used for test automation., • Solid understanding of ETL/ELT processes, data ingestion, and data pipeline architectures., • Experience testing data transformations, data quality, and data integrity., • Familiarity with relational databases (SQL), data warehouses, and cloud data platforms (e.g., AWS Glue) and Snowflake., • Experience with CI/CD tools (e.g., Jenkins, GitHub Actions)., • Knowledge of data governance and data privacy best practices., • Exposure to containerization (Docker, Kubernetes) and infrastructure as code.

Job DescriptionAbout Us CurbWaste is a venture-backed, early-stage vertical SaaS company on a mission to modernize the waste and recycling industry — one of the most critical and underserved sectors in the world. Our customers are hard-working, no-frills operators running complex businesses with limited tools. We’re here to change that. With $50M raised and the backing of top-tier investors, we serve over 150 customers who rely on CurbWaste’s all-in-one solution to power their operations. But we’re just getting started. Our ambition is to become the system of record for the waste industry and support the people who keep our cities running. At CurbWaste, we hold a high bar. We believe in trust, ownership, and a relentless focus on delivering value. We challenge each other to grow every day and live by values that shape how we show up: • Serve our customers, serve our industry, • Be infinitely curious, • Resourcefulness over resources, • Win as a team, learn as a team You'll work closely with engineering to shape our data infrastructure (Snowflake, Sigma, and beyond), partner with business teams to deliver the metrics and dashboards they need, and play a key role in preparing data for AI-powered features on our 2026 roadmap. This isn't a role where you wait for tickets — you'll identify what matters, build it, and own it. If you're someone who thrives with autonomy, thinks end-to-end, and wants to shape how a growing company uses data, this is for you. Requirements What You'll Do • Build and own dashboards, reports, and self-serve analytics that drive decisions across the company, • Partner with engineering to design and implement our data warehouse and BI stack, • Define key metrics and data models for operational and financial performance, • Prepare and structure datasets that power AI and machine learning initiatives, • Work cross-functionally with product, ops, finance, and engineering to understand needs and deliver insights, • Establish data quality standards and documentation as the foundation for a future data teamAbout The Ideal Candidate, • Bachelor's or Master's degree in a quantitative field (Computer Science, Statistics, Economics, Engineering, or similar), with strong academic performance, • Deep SQL expertise — you can write complex queries, optimize performance, and model data cleanly, • Hands-on experience with modern BI tools; Sigma experience is a strong plus, • Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift, or similar), • Demonstrated grit and resourcefulness; thrives in high-growth, fast-moving, and often ambiguous environments, • Strong communicator who can translate data into clear recommendations for non-technical stakeholders, • Self-directed and proactive — you don't wait to be told what to build, • Mission-driven attitude — you care about helping customers win and making a real impactNice to Have, • Some programming ability (Python, Javascript) for data manipulation or automation, • Exposure to the waste, logistics, or industrial sectors, • Experience preparing data for machine learning or analytics-driven product features, • Join a high-performing, mission-driven team transforming a critical industry., • Competitive salary ($120k–$150k), flexible time off, and ample opportunities for learning and development., • Company-paid medical, dental, and vision coverage, plus 401k. At CurbWaste, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.

Job Description Maxana is seeking an experienced Backend Engineer for a confidential client — a well-funded AI platform company used by ML teams globally. In this role you will own features end to end across APIs, CLI tooling, billing systems, and platform integrations. The team is small and senior, the engineering bar is high, and you will work directly with product and engineering leaders. Key Responsibilities • Write clean, efficient, production-grade code in Go (Golang), • Build and scale APIs, CLI tools, billing systems, and security integrations, • Set technical direction for large projects alongside engineering and product leadership, • Evaluate and strengthen technical architecture, tooling, and processes, • Champion software quality, drive continuous delivery, and proactively reduce technical debt, • Mentor engineers on system design and operating in high-uncertainty environments Requirements • 5+ years of production Go experience in a SaaS environment, • Broad knowledge of backend and frontend systems — APIs, CLIs, billing, security protocols, • Experience with cloud platforms: AWS, GCP, or Azure, • Familiarity with containerization — Docker and Kubernetes a strong plus, • Prior startup or high-growth company experience required, • Competitive base salary + equity ($110,000–$270,000 range), • Medical, dental, and vision, • Flexible paid time off, • Learning and development stipend, • Working for a globally recognized company

Job Description THE ORGANIZATION The Center for Justice Innovation is a nonprofit organization dedicated to advancing community safety and racial justice. Since 1996, we’ve worked alongside communities, courts, and those most directly affected by the justice system to build stronger, healthier, and more equitable neighborhoods. With a team of over 900 staff and an annual budget of $130 million, the Center carries out its mission through three core strategies: • Operating Programs that pilot new ideas and address local challenges;, • Conducting original research to evaluate what works—and what doesn’t; and THE OPPORTUNITY The Technology Department is seeking a skilled and proactive Infrastructure and Cloud Engineer with expertise in Microsoft 365, Azure Cloud services, automation, and API integrations. This role is pivotal in designing, implementing, and optimizing hybrid and cloud-first solutions that enhance performance, strengthen security, and drive automation across the organization. Reporting to the Infrastructure and Cloud Manager, this engineer will collaborate with cross-functional teams to deliver scalable, secure, and efficient technology solutions that align with the Center’s mission and strategic goals. Responsibilities include but are not limited to: Cloud Strategy & Architecture: • Develop and execute comprehensive infrastructure and cloud strategies aligned with the Center’s goals;, • Design, implement, and optimize hybrid and multi-cloud solutions, including Azure services, and Microsoft 365 environments, to enhance operational efficiency, scalability, and cost-effectiveness;, • Develop and execute comprehensive cloud and infrastructure strategies aligned with organizational objectives; and, • Evaluate and adopt emerging cloud technologies to enhance operational efficiency and cost-effectiveness. Infrastructure & Platform Management:, • Manage and optimize the technology infrastructure, including Microsoft 365, Microsoft Entra ID, Intune, and Azure resources to ensure optimal performance and resource utilization;, • Implement and maintain robust backup and recovery procedures to safeguard critical data; and, • Enforce robust security and access controls across Microsoft 365, Azure, and on-premises systems;, • Monitor and respond to security incidents while ensuring compliance with relevant standards; and, • Automate compliance reporting and auditing workflows to improve visibility and governance. User Support and Management:, • Manage user identities, access provisioning, and entitlements to ensure secure and appropriate permission levels across systems;, • Support and enhance collaboration platforms such as Microsoft Teams, SharePoint, and OneDrive; and, • Collaborate with departments to identify opportunities for automation and Azure-backed solutions that improve productivity and workflow efficiency. Automation, Scripting & Integration:, • Develop and maintain automation workflows using Power Automate, Azure Logic Apps, and PowerShell;, • Build and manage API integrations between Microsoft 365, Azure, and third-party applications; and, • Streamline routine infrastructure tasks such as provisioning, access management, and compliance tracking. Collaboration & Support:, • Support and enhance collaboration platforms such as Microsoft Teams, SharePoint, and OneDrive; and, • Collaborate with departments to identify opportunities for automation and Azure-backed solutions that improve productivity and workflow efficiency. Project Management and Collaboration:, • Contribute to infrastructure and cloud projects from inception to completion, ensuring timely delivery and adherence to project goals;, • Collaborate effectively with team members to achieve shared objectives and provide support as needed;, • Participate in ongoing learning, process improvement, and knowledge sharing to strengthen team capability; and, • Bachelor's degree in Computer Science, Information Technology, or a related field and 3-5 years of progressive experience in information technology, including a minimum of 3 years managing infrastructure and cloud services within Microsoft 365 required. Candidates with equivalent experience will be considered;, • Strong understanding of hybrid IT environments, with hands-on experience managing both on-premises and cloud platforms (e.g., Microsoft Azure, AWS);, • Advanced proficiency in Microsoft 365 administration, Entra ID, and Intune;, • Strong knowledge of Azure Cloud services, including compute, storage, networking, security, and monitoring;, • Proven ability to troubleshoot and resolve complex technical issues related to Microsoft 365 services;, • Experience with Microsoft Power Automate, and PowerShell scripting for automation;, • Strong problem-solving and analytical skills; and, • Excellent communication and documentation skills. Preferred Qualifications:, • Industry-recognized certifications in Microsoft 365 Administration, Azure, and Security Compliance;, • Experience with Google Workspace administration, user management, security, and policy enforcement;, • Proficiency in Python and Kusto Query Language (KQL); and Position Location: Midtown, Manhattan, 2-3 days a week in person required. Compensation: The compensation range for this position is $95,500 - $123,600 and is commensurate with experience. Benefits: The Center for Justice Innovation offers an excellent benefits package including comprehensive healthcare with a national network, free basic dental coverage, vision insurance, short-term and long-term disability, life insurance, and flexible spending accounts including commuter FSA. We prioritize mental health care for our staff and offer services like Talkspace and Ginger through our healthcare plans. We offer a 403(b) retirement plan with a two-to-one employer contribution up to 5%. The Center for Justice Innovation is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, gender identity, gender expression, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. We strongly encourage and welcome applications from women, people of color, members of the LGBTQ+ community, and individuals with prior contact with the criminal justice system. Our goal is to create a supportive and respectful environment where everyone, regardless of background or identity, feels valued and included. At this time, the Center is unable to sponsor or take over sponsorship of an employment visa. All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment. Candidates are expected to provide accurate and truthful information throughout the hiring process. Any misrepresentation, falsification, or omission of material facts may result in disqualification from consideration, withdrawal of an offer, or termination of employment, regardless of when discovered. In compliance with federal law, all hires must verify their identity and eligibility to work in the United States and complete the required employment verification form upon hire. Please refer to the job posting for relevant contact information. If contact details are not provided, we kindly ask that you refrain from inquiries via phone or email, as only shortlisted candidates will be contacted. Powered by JazzHR AjQRNqBFde

Job Description About Synchron Synchron’s vision is to build non-surgical brain–computer interfaces at global scale that protect the fundamental human rights of freedom of expression and autonomy. Our first mission is to develop motor decoders that restore the ability of 15 million people with paralysis to interact with the digital world. Our second mission is to develop whole-brain cognitive decoders that enable hundreds of millions of people with cognitive decline to preserve and expand their agency as cognition changes over time. In pursuing these goals, we aim not only to help humans flourish, but also to drive fundamental discoveries in human intelligence. Our team operates at the intersection of healthcare and technology, translating breakthrough research into real-world, safety-critical systems. Cloud/Backend Engineer (AWS) Location: Brooklyn, New York Work Arrangement: 3–4 days onsite Type: Full-time About the Role Synchron is seeking a Backend / Cloud Engineer to help build and scale the backend systems supporting our brain-computer interface platform. This role focuses on developing services and data systems that power clinical applications, neuroscience workflows, and internal tools used in research and production environments. You will work across backend services, cloud infrastructure, and data pipelines to improve system reliability, enable new features, and support collaboration between engineering and data science teams. This is an opportunity to work on systems that directly support real-world clinical applications while helping bridge the gap between research and production software. Key ResponsibilitiesBackend Development • Design and build backend services and APIs supporting internal applications and tools, • Develop systems that connect desktop applications, device workflows, neuroscience analysis tooling, and cloud infrastructure, • Improve system performance, reliability, and maintainabilityCloud Engineering (AWS), • Develop and maintain services running on AWS, • Improve scalability, robustness, and performance of backend systems, • Support integration between backend services and cloud-based infrastructureData Systems & Pipelines, • Build and maintain pipelines supporting neuroscience data and analytics workflows, • Improve data flow between device systems, backend services, and data science environments, • Support data processing and analysis systems used by research teamsCross-Functional Collaboration, • Work closely with Data Science to support model deployment and analysis pipelines, • Collaborate with DevOps on deployment workflows and infrastructure improvements, • Partner with Software and Clinical teams to support feature development and system reliabilitySystem Improvement & Scaling, • Identify and address technical debt in backend systems, • Contribute to improving system architecture as the platform evolves, • Support scaling efforts as patient usage and system complexity increaseRequired Qualifications, • 5-8+ years of experience in backend or cloud engineering, • Strong experience with Python (or similar backend language), • Experience building and maintaining APIs and backend services, • Experience working with AWS cloud services, • Experience working with data pipelines or data processing systems, • Experience debugging systems across multiple services or environments, • Experience using Git-based development workflows, • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)Preferred Qualifications, • Experience working with data science or research teams, • Experience with distributed systems or event-driven architectures, • Experience with message queues or streaming systems (Kafka, MQTT, etc.), • Experience with Infrastructure-as-Code tools (CDK, Terraform), • Experience with containers (Docker) In addition to base salary, this role may be eligible for discretionary bonuses and/or equity grants, subject to board approval and company policy. Visa Sponsorship We are unable to offer visa sponsorship for this position at this time. Benefits (for W-2, full-time, exempt employees in the US only) ***Intern positions not eligible • Subsidized medical and dental insurance coverage for you and your dependent(s), • Life insurance, short-term disability, long-term disability, • 401k, • Discretionary unlimited PTO, • Flexible Spending Account for you and your dependent(s), with eligible plan elections, • Commuter benefits for NY employees Equal Employment Opportunity (EEO) Synchron is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants and provide equal employment opportunities without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable law. If you need a reasonable accommodation during the application or interview process, please let us know. Join Us At Synchron, you will be part of a transformative mission and you will work alongside driven people who believe in the power of collaboration and innovation to make a lasting impact. If you are excited to stretch your skills and contribute to something meaningful, apply and now and build the future with us.