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Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. 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. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. * A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. * Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. * Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. * You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. * You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs * Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) * 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) * 8+ years of experience designing mission-critical machine learning platforms * 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Master's degree in Computer Science, Computer Engineering, or relevant technical field * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * Experience leading GenAI or LLM-Powered application architectures in production * Deep understanding of Responsible AI, data privacy and multi-tenant security patterns * K8s mastery (multi-region clusters, service mesh) * Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI 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).

Title: Cloud Engineer Location: New York City (Hybrid) 4 days onsite About Us \nOur client is building the AI platform for hedge funds and asset managers, helping firms become AI-native by connecting their data, encoding expertise into intelligent agents, and automating high-value workflows. They focus on building the systems that make AI actually useful in production—not just the models. Unlike many startups, they are cash-flow positive and client-funded, with a team drawn from top financial institutions and leading AI companies. Role Overview \nAs a Cloud Engineer, you will build and manage the cloud infrastructure powering client environments. This is a hands-on role at the intersection of cloud, platform engineering, and AI systems. You’ll work closely with engineering and client-facing teams to deliver secure, scalable, and high-performance environments. Requirements Experience: \n• 3+ years in cloud or platform engineering (Azure preferred) Cloud & Infrastructure: \n• Experience with scalable cloud environments and Terraform Networking & Security: \n• Strong understanding of networking, VPNs, and secure connectivity DevOps & Automation: \n• CI/CD pipelines, Docker, and scripting (Python, Bash) Backend & Data: \n• Experience with backend systems and database design (OLAP vs OLTP) General: \n• Strong problem-solving and communication skills \n• Experience with a statically typed language (Java, C#, or Go) Responsibilities Cloud Infrastructure: \n• Design and manage scalable cloud environments (Azure) \n• Optimize performance, cost, and reliability Networking & Security: \n• Build secure connectivity (VPNs, VPCs, private endpoints) \n• Implement authentication and security controls Automation & DevOps: \n• Develop CI/CD pipelines and automate infrastructure \n• Improve monitoring and system reliability Client Environments: \n• Provision secure, isolated environments \n• Support onboarding and standardize deployments Backend & Data: \n• Optimize systems for high-volume data workloads \n• Manage databases and caching strategies Collaboration: \n• Work with engineering and product teams on infrastructure decisions Compensation and Culture \nThis is a full-time, NYC-based hybrid role offering competitive compensation and strong ownership. You’ll join a high-performing, collaborative team working on real-world AI systems, with the opportunity to directly impact both client outcomes and product direction.

Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You’ll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You’ll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously 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 deliver GenAI models and components that solve complex business problems, while working in collaboration with the Product and Data Science teams. * Design and implement cloud-native ML Serving Platforms leveraging technologies like Docker, Kubernetes, KNative, and KServe to ensure optimized and scalable deployment of models. * Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment. * Implement advanced MLOps and GitOps practices for continuous integration and continuous deployment (CI/CD) using tools like ArgoCD to manage the entire lifecycle of models and applications. * Leverage service mesh architectures like Istio to manage traffic, enhance security, and ensure resilience for high-volume serving endpoints. * Retrain, maintain, and monitor models in production. * Construct optimized, scalable data pipelines to feed ML models. * 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, Go, Scala or Java Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, Go or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead 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).

NYSTEC is a nonprofit technology consulting company, advising agencies, organizations, institutions, and businesses since 1996. We're independent and vendor-neutral, so we have our clients' best interests at heart. At NYSTEC, we know that we succeed when individuals and teams flourish personally and professionally, so our benefits and perks support that mindset. As a business intelligence (BI) developer in the Business Intelligence department, you will collaborate with team members to create and refine datasets, dashboards, and reports that support decision-making across the organization. Serving as a BI developer, your day-to-day role will include managing data pipelines, validating data accuracy, and resolving issues that arise within the BI ecosystem. You will collaborate closely with analysts, finance, IT, and other teams to translate needs into technical solutions. • Develop, maintain, and optimize datasets, data models, and reports to support organizational decision-making., • Build and manage extract, transform, and load/extract, load, and transform (ETL/ELT) processes to ensure reliable data ingestion, transformation, and delivery across systems., • Validate data accuracy and troubleshoot issues with pipelines, models, and reports to maintain a high-quality BI environment., • Collaborate with stakeholders to gather requirements, translate business needs into technical solutions, and deliver user-friendly dashboards., • Monitor BI system performance, implement enhancements, and ensure adherence to data governance and security standards., • Document processes, data definitions, and system changes to support long-term sustainability and team knowledge sharing., • Provide ongoing support for existing reports and datasets, including maintenance, updates, and performance tuning., • Partner with analysts and other teams to enable consistent, accurate, and accessible reporting across the organization., • Expertise with reporting tools, software, and other applications., • Established experience as a BI developer, creating interactive reports, visualizations, and data modeling., • Advanced Query Languages: Structured Query Language (SQL), Data Analysis Expressions (DAX), and Power Query M., • Python Proficiency: Ability to write clean, efficient Python for data transformation, validation, and automation, including using libraries such as pandas, Python Apache Arrow (PyArrow), or Microsoft Fabric Lakehouse Application Programming Interfaces (APIs)., • Spark/Notebooks: Experience using Python Apache Spark (PySpark) and Microsoft Fabric/Spark notebooks to manipulate large datasets, create transformation pipelines, and support more scalable data engineering tasks., • Experience building and maintaining fabric data pipelines, dataflows Gen2, notebooks, and lakehouse tables., • Understanding of delta tables, medallion architecture, incremental refresh, and performance tuning., • Ability to troubleshoot data pipeline failures, refresh issues, schema changes, and data mismatches across multiple layers., • Excellent analytical reasoning skills to translate operational and financial processes into scalable, accurate data models., • Similar experience in Google, Amazon Web Services (AWS), or Microsoft Azure Cloud is qualified., • Advanced Microsoft Fabric experience., • Kusto Query Language (KQL) for fabric real-time intelligence and telemetry analysis., • Exposure to Microsoft Azure services, such as Azure Data Factory, Azure SQL, or Data Lake Storage., • Understanding of security models (role-based access control [RBAC]), data governance, and compliance frameworks., • Microsoft Fabric Analytics Engineer certification (in progress or completed)., • A bachelor's degree in computer science, information technology/systems, finance/accounting, math/statistics, or a similar discipline, and five years of related experience, including experience with writing reports and analyzing technical requirement modes. It is NYSTEC's policy to provide equal employment opportunity (EEO) to all individuals, regardless of actual or perceived race, color, creed, religion, sex, or gender (including pregnancy, childbirth, and related medical conditions), gender identity or gender expression (including transgender status), age, national origin, ancestry, citizenship status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, military service and veteran status, sexual orientation, marital status, or any other characteristic protected by local, state, or federal laws and ordinances. NYSTEC is strongly committed to this policy and believes in the concept and spirit of the law. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact ___ if you require a reasonable accommodation to apply for or to perform this job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. Learn more about NYSTEC by visiting ___. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is currently searching for a DevSecOps Engineer with deep expertise in AWS cloud infrastructure, containerization, and security automation. You will be responsible for architecting and implementing secure CI/CD pipelines, managing Kubernetes clusters, deploying infrastructure as code using Terraform/OpenTofu, and embedding security controls throughout the software development lifecycle. The ideal candidate is a proactive problem solver who balances security requirements with operational efficiency and development velocity. The candidate will have opportunities to expand their skill set by working with emerging security tools, implementing compliance-as-code frameworks, and collaborating across development, operations, and security teams to build resilient, secure systems Core DevOps Skills: 3+ years of experience in AWS cloud services (EC2, ECS/EKS, S3, Lambda, RDS, ALB, VPC, IAM) is required 3+ years of experience in Container technologies (Docker and/or Podman) is required 3+ years of experience in CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or similar) is required 3+ years of experience in Git version control and branching strategies is required 2+ years of experience in Infrastructure as Code (Terraform and/or OpenTofu) is required 2+ years of experience in Kubernetes orchestration (deployment, scaling, monitoring, troubleshooting) is required 2+ years of experience in Configuration management (Ansible, Chef, or Puppet) is preferred 2+ years of experience in Monitoring and observability (Prometheus, Grafana, ELK stack, CloudWatch) is preferred Security Tools & Practices: 3+ years of experience in DevSecOps practices (security automation, shift-left security) is required 2+ years of experience in Container security scanning (Trivy, Aqua, Twistlock, Anchore, or similar) is required 2+ years of experience in Static/Dynamic Application Security Testing (SAST/DAST tools like SonarQube, Checkmarx, OWASP ZAP) is required 2+ years of experience in Integrating security gates into CI/CD pipelines is required 2+ years of experience in Secrets management (Vault, AWS Secrets Manager, or similar) is required 2+ years of experience in Vulnerability management and remediation workflows is required 1+ years of experience in Software Composition Analysis for dependency scanning (Trivy, Snyk, or similar) is preferred Compliance & Hardening: 2+ years of experience in Security compliance frameworks (NIST, STIG, CIS benchmarks, FedRAMP) is required 2+ years of experience in Security hardening and baseline configuration is required 2+ years of experience in Audit logging and security event monitoring is required Security Architecture: 2+ years of experience in Identity and Access Management (IAM policies, RBAC) is required 2+ years of experience in Network security (security groups, NACLs, WAF, network segmentation) is required 1+ years of experience in Certificate management and PKI is required 2+ years of experience in Security code review practices is preferred 2+ years of experience in Container and Kubernetes security (Pod Security Standards, Network Policies, image signing) is preferred Integration & Data Tools: 2+ years of experience in API gateway management is preferred 1+ years of experience in ETL platforms (Talend and/or Apigee) is preferred Scripting & Programming: 3+ years of experience in Scripting languages (Python, Bash, or Go) is required 3+ years of experience in YAML/JSON configuration is required Soft Skills: Must have security mindset and risk assessment thinking Must have strong problem-solving and troubleshooting abilities Must be able to balance security requirements with development velocity Cross-functional collaboration with development and operations teams is required Documentation and knowledge sharing is required Communication of security risks to technical and non-technical stakeholders is required Incident response and on-call readiness is required Staying current with emerging security threats and vulnerabilities is required Education & Certifications: This position requires a minimum of a Bachelor's degree from an accredited college or university in Engineering, Information Technology, Computer Science or related field is preferred. Experience in lieu of education may be considered if the individual has 4 or more years of equivalent technical training or work/military experience. Relevant certifications to include AWS Certified Solutions Architect, CKA, Terraform Associate are preferred Security certifications to include Security+, CISSP, CEH, or similar are highly desired Cloud security certifications to include AWS Security Specialty, Azure Security Engineer) are preferred Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to able to communicate accurate information and ideas so others will understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, etc. Security Clearance: Applicants selected for employment will be subject to a federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active Secret clearance preferred; ability to obtain and maintain required clearance is mandatory. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $140,000 - $160,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant’s compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee’s start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color, physical or mental disability, gender identity or expression, genetic information (including family medical history), national origin or ancestry, race, religion, sex, pregnancy (including childbirth and related medical conditions), sexual orientation, citizenship status, veteran status, uniformed service member status, or any other characteristic protected by federal, state, or local law. IDS participates in E-Verify. To learn more about E-Verify, including your rights and responsibilities, please visit . A submission of a resume is an expression of interest and not considered an application. For more information, visit . Disclaimer: This job description is intended to provide an overview of job responsibilities that are subject to change. U.S. citizenship is required; H1-B visas and other visas are not being sponsored. Relocation expenses are NOT compensated. All jobs are employer paid; no fees to candidates. Third parties or agency inquiries are not being accepted at this time. #IDS

Description About Us: NYSTEC is a nonprofit technology consulting company, advising agencies, organizations, institutions, and businesses since 1996. We're independent and vendor-neutral, so we have our clients' best interests at heart. At NYSTEC, we know that we succeed when individuals and teams flourish personally and professionally, so our benefits and perks support that mindset. About the Role: As a business intelligence (BI) developer in the Business Intelligence department, you will collaborate with team members to create and refine datasets, dashboards, and reports that support decision-making across the organization. Serving as a BI developer, your day-to-day role will include managing data pipelines, validating data accuracy, and resolving issues that arise within the BI ecosystem. You will collaborate closely with analysts, finance, IT, and other teams to translate needs into technical solutions. Key Responsibilities Develop, maintain, and optimize datasets, data models, and reports to support organizational decision-making. Build and manage extract, transform, and load/extract, load, and transform (ETL/ELT) processes to ensure reliable data ingestion, transformation, and delivery across systems. Validate data accuracy and troubleshoot issues with pipelines, models, and reports to maintain a high-quality BI environment. Collaborate with stakeholders to gather requirements, translate business needs into technical solutions, and deliver user-friendly dashboards. Monitor BI system performance, implement enhancements, and ensure adherence to data governance and security standards. Document processes, data definitions, and system changes to support long-term sustainability and team knowledge sharing. Provide ongoing support for existing reports and datasets, including maintenance, updates, and performance tuning. Partner with analysts and other teams to enable consistent, accurate, and accessible reporting across the organization. About you: Required Qualifications Expertise with reporting tools, software, and other applications. Established experience as a BI developer, creating interactive reports, visualizations, and data modeling. Advanced Query Languages: Structured Query Language (SQL), Data Analysis Expressions (DAX), and Power Query M. Python Proficiency: Ability to write clean, efficient Python for data transformation, validation, and automation, including using libraries such as pandas, Python Apache Arrow (PyArrow), or Microsoft Fabric Lakehouse Application Programming Interfaces (APIs). Spark/Notebooks: Experience using Python Apache Spark (PySpark) and Microsoft Fabric/Spark notebooks to manipulate large datasets, create transformation pipelines, and support more scalable data engineering tasks. Experience building and maintaining fabric data pipelines, dataflows Gen2, notebooks, and lakehouse tables. Understanding of delta tables, medallion architecture, incremental refresh, and performance tuning. Ability to troubleshoot data pipeline failures, refresh issues, schema changes, and data mismatches across multiple layers. Excellent analytical reasoning skills to translate operational and financial processes into scalable, accurate data models. Similar experience in Google, Amazon Web Services (AWS), or Microsoft Azure Cloud is qualified. Preferred/Desired Qualifications Advanced Microsoft Fabric experience. Kusto Query Language (KQL) for fabric real-time intelligence and telemetry analysis. Exposure to Microsoft Azure services, such as Azure Data Factory, Azure SQL, or Data Lake Storage. Understanding of security models (role-based access control [RBAC]), data governance, and compliance frameworks. Microsoft Fabric Analytics Engineer certification (in progress or completed). Education and Experience A bachelor's degree in computer science, information technology/systems, finance/accounting, math/statistics, or a similar discipline, and five years of related experience, including experience with writing reports and analyzing technical requirement modes. An equivalent combination of advanced education, training, and experience will be considered. The target base salary for this position is $84,497.00 to $120, 830.00 per year. When determining compensation, we analyze and carefully consider several factors, including skill set, experience, location, and job-related qualifications. It is NYSTEC's policy to provide equal employment opportunity (EEO) to all individuals, regardless of actual or perceived race, color, creed, religion, sex, or gender (including pregnancy, childbirth, and related medical conditions), gender identity or gender expression (including transgender status), age, national origin, ancestry, citizenship status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, military service and veteran status, sexual orientation, marital status, or any other characteristic protected by local, state, or federal laws and ordinances. NYSTEC is strongly committed to this policy and believes in the concept and spirit of the law. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact if you require a reasonable accommodation to apply for or to perform this job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future. Learn more about NYSTEC by visiting . Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

SailPoint is the leading, AI-driven security platform providing the autonomous governance that best solves the needs of the modern enterprise. By harnessing the power of AI and machine learning, SailPoint automates and streamlines the complexity of delivering the right access to the right identities and technology resources at the right time. Delivered at the scale our enterprise customers demand. We are proud of our team and the culture we have built, which has led to our employees voting us “best places to work” – 15 years in a row. The role: SailPoint is seeking an Advisory Solution Consultant (pre-sales Solution Engineer) to support the US Northeast sales regions for Strategic accounts. You will partner with our sales teams by applying your technical abilities and business acumen in support of SailPoint’s growth objectives. Responsibilities: • Actively participate in the sales process and work closely with the direct and channel sales teams, • Discover and understand customer requirements and align our solutions to those requirements, • Present SailPoint business functions, value, and competitive differences, • Provide product demonstrations to prospective customers, • Assist in developing RFP responses in coordination with our RFP response team, • Participate in onsite and remote Proof of Value (POV) evaluations, • Provide feedback to Product Management on product enhancements Requirements: • 5+ years of professional experience as a pre-sales technical resource in an enterprise software company (B2B), • Excellent written and verbal communication skills, • A working knowledge of technical infrastructure, including web services, application servers, databases, virtualization, and directories is required, • Conversant in modern SaaS architecture and familiarity with IaaS platforms such as Azure/AWS/GCP, • Experience with APIs and API tools such as Postman, Agentic AI technology such as Amazon Bedrock AgentCore, Google Vertex, Azure Foundry, Salesforce Agentforce, etc., LLMs, MCP, RAG, Java, XML, LDAP, SQL, and JSON is desirable, • 3+ years working with Identity, Governance, and Access Management solutions is preferred Path to Success: Within the first 4 months, you will: • Learn the Identity Security and Identity Management space, • Participate in demo best practices training, presentation skills training, negotiation,, • Handle initial demos and discussions in IGA, • Attend Revenue Onboarding for a deep dive into Challenger Sales training, • Hone technical discovery skills through SE Scrum groups, • Pitch to Account Executives (AEs) to master messaging and build relationships, • Navigate internal relationships with Customer Success Managers, Product Management, Professional Services, and Partners, • Coordinate with AEs before and after client calls, tying what is presented back to business value Within 6 months to 1 year, you will: • Contribute to building new technical collateral for organization-wide use, • Grow familiarity with IT audit functions, regulatory frameworks, SOX, HIPAA, NERC-CIP, GDPR, and CCPA, • Speak at national or regional conferences and meetups, • Proactively network and build your own personal brand, • Articulate the business value of SailPoint as a strategic sale, • Communicate at the business level with clients outside of IT, such as HR, Finance, risk management, counsel, and lines of business, • Be fluent in the language of Identity Security Location: • Residence in any Northeast state is required., • We anticipate 25% travel and flexibility to travel within the US (primarily in the Northeast states) will be necessary. Education: • BA/BS or global equivalent, • 8 years of related experience Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint. As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD): $116,900 - $197,083.60 Base salaries for employees based in other locations are competitive for the employee’s home location. Benefits Overview 1. Health and wellness coverage: Medical, dental, and vision insurance, 2. Disability coverage: Short-term and long-term disability, 3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D), 4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children, 5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account, 6. Financial security: 401(k) Savings and Investment Plan with company matching, 7. Time off benefits: Flexible vacation policy, 8. Holidays: 8 paid holidays annually, 9. Sick leave, 10. Parental support: Paid parental leave, 11. Employee Assistance Program (EAP) and Care Counselors, 12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options, 13. Health Savings Account (HSA) with employer contribution SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.

We are seeking a Senior Security Engineer with a specialty in Detection and Incident Response to join our Security Engineering team. This role sits at the intersection of security operations and software engineering - you won't just investigate incidents, you'll build the systems that detect, contain, and prevent them. You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert. You will structure investigations, analyze root causes, and clearly communicate the significance of security incidents, their impact, and recommended remediation steps - but you'll also turn those findings into durable engineering improvements: better detections, tighter schemas, and smarter automation. • Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance., • Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity., • Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity., • Perform digital incident investigations to identify and contain potential security breaches., • Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies., • Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows., • Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organization., • Utilize threat intelligence platforms to improve hunting, detection, and response workflows., • Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders., • 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation., • Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code - not just scripts., • Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments., • Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically., • Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs., • Familiarity with digital forensics tools and malware analysis techniques., • Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate., • Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows., • Strong communication skills, with the ability to translate complex security findings into clear business impact. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc., • Develop and maintain backend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI models and services., • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment., • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services., • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Document and communicate development processes, system designs, and architectural decisions., • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field., • Minimum 2 years of experience in industry with a strong focus on ML solutions development and production deployment., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Strong proficiency in Python in modern Python frameworks such as FastAPI and LangGraph., • Experience working with voice AI technologies and conversational AI., • Deepgram, PlayHT, ElevenLabs, • Telephony technologies, such as Twilio is a big plus, • Familiarity with cloud platforms such as AWS or Azure., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • Passion for customer, innovation, product quality, service excellence, and test engineering, • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment., • Experience working with microservices/an API-based application paradigm. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$128,000—$202,000 USDNew York, NY Salary Range$161,600—$202,000 USDDenver, CO Salary Range$148,400—$185,500 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Scale AI is seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments. You will: • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components., • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus., • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment., • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment., • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering., • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000—$259,440 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$165,600—$233,496 USDThe base salary range for this full-time position in the location of St. Louis is:$138,000—$194,580 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Posting Type Remote/Hybrid Job Overview As an Advanced Security Engineer focused on Endpoint Security, you will design, build, and operate security controls that protect Relativity's employee endpoints and the enterprise systems they access. You will help establish hardened, standardized, and measurable endpoint security foundations that reduce risk while preserving productivity, partnering closely with IT and Security teams to deliver securebydefault device experiences. This role blends handson software engineering with systemlevel security ownership in a modern cloud environment. Job Description and Requirements Role Responsibilities * Design, implement, andoperateendpoint security controls across laptops and mobile devices * Build automation and tooling to enforce secure configuration baselines and reduce manual effort * Partner with IT on device management, deployment, and lifecycle security * Reduce enterprise risk by hardening devices, limiting standing privilege, and improving visibility * Participate in incident response and endpointrelated investigations in partnership with Cyber teams * Continuously improve endpoint security posture using metrics, telemetry, and risk insights Minimum qualifications: * Bachelor's in Computer Science, Information Security, or equivalent experience. * 2+ years of commercial experience in software developmentand scripting(C#, Python,Javaor other general-purpose modern programming language) with a solid understanding of computer science fundamentals, including algorithms and data structures * Experience securing andoperatingmanaged endpoints at scale * Familiarity with modern device management and endpoint protection concepts * Ability to translate security policy into automated, enforceable controls * Comfort working across teams to deliver secure outcomes without friction * Experience with cloud technologies(preferably Azure),DevSecOpspractices, and automation tools (e.g., GitHub Actions). * Growth mindset and eagerness to learn across engineering and securitydomains. * Ability to take feedback and strive for continual improvement. Preferred qualifications: * Experience securing cloud-native applications / SaaS solutions and networks. * Familiarity with vulnerability scanning and threat protection. * Relevant certifications: * Microsoft Certified: Azure Security Engineer Associate (AZ-500). * Microsoft Certified: Identity and Access Administrator Associate (SC-300). * Knowledge of Zero Trustprinciplesand compliance standards (e.g., GDPR, HIPAA). * Exposure to other cloud platforms(AWS, GCP). Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $104,000 and $156,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Automation, Security Information, Security Information and Event Management (SIEM), Security Operations, Threat Modeling, Vulnerability Management

Role Overview: CLOUD SECURITY ENGINEER (HYBRID) ALL US OFFICES - CHI, SF, LA, BOS, NYC, D.C.) The Cloud Security Engineer is responsible for deploying, managing, and securing cloud solutions across AWS, Azure, and Google Cloud platforms. This role involves close collaboration with IT, Cloud Engineering & Operations, Network Operations and Data Science Center teams, acting as a technical lead and primary contact for cloud security projects, migrations, and integrations. The Cloud Security Engineer is expected to have hands-on experience managing cloud services in a hybrid environment, with a strong focus on implementing and maintaining robust security controls. In addition to technical responsibilities, the Cloud Security Engineer will engage with both internal colleagues at all levels within the firm and external stakeholders, ensuring seamless communication and coordination on cloud security matters. The Cloud Security Engineer will stay informed on emerging cloud security technologies and will translate information security policies into operational processes, continuously enhancing the security posture of the organization. At Cornerstone Research, you will be part of a thriving, 1,000-strong team that spans nine offices, comprises more than 55 nationalities, and leads the industry in its commitment to develop team members across all levels. Inc. Magazine has recognized Cornerstone Research three times as a Best Workplace for its outstanding employee engagement, collaborative culture, and professional growth opportunities. You'll Love It Here If You: * Embrace learning and continuous improvement * Set and strive for a high bar of excellence * Believe that teamwork leads to success: ask us what it means to be #onefirmfirm! * Take pride in always doing your best work, even if it's harder or takes longer * Are passionate about what you do How You'll Help Our Team Succeed: • Designs and engineers secure cloud solutions leveraging Google Cloud, AWS and Azure IaaS, PaaS, and SaaS, with a focus on security best practices., • Researches, designs, and implements new cloud security technologies to enhance Cornerstone's cloud security posture., • Supports applications hosted in cloud environments, ensuring they meet stringent security standards., • Deploys and develops cloud cost management, budgeting, and expensing capabilities, with an emphasis on security aspects to control unauthorized access and expenditures., • Manages and reports on cloud costs, identifying and reporting unusual expenditures with a focus on security implications., • Conducts periodic audits of accounts, permissions, and access rights for cloud services in compliance with security policies., • Builds and maintains strong relationships across IT teams, fostering collaboration on cloud security issues., • Performs periodic gap analyses against current and future security requirements to improve cloud security measures; recommends relevant improvements., • Administers and supports secure connectivity to cloud services, ensuring encrypted and protected data transfers, using AWS Direct Connect and Azure Express Route., • Monitors daily maintenance event logs for cloud-based environments and addresses any noted issues., • Maintains security patches in alignment with industry best practices., • Creates and maintains cloud-related security policies and procedures in partnership with the Director, Information Security., • Creates and maintains cloud security operational documentation and training materials for use by IT staff. What You'll Need to Be Successful: • 8+ years of experience in cyber security roles required, with professional services experience preferred., • Extensive experience supporting and administering AWS, Azure, Google Cloud and O365 cloud environments., • Experience with cloud security implementations, migrations, and integrations within secure frameworks., • Familiarity with programmatic means of cloud security administration, such as cloud APIs and CloudFormation Templates on AWS, with a focus on secure configuration., • UNIX/Linux experience with a strong exposure to server administration., • Bachelor's degree in a relevant field or equivalent combination of education, skills and experience., • Cloud Professional Certification required (e.g., AWS Certified Security - Specialty and/or Microsoft Certified: Azure Security Engineer Associate or similar)., • Additional security related IT certifications (e.g., CISSP, CISM, CompTIA Security+) are a plus. Cornerstone Research is offering a competitive market base salary for this position. The base salary range represents the low and high end of the salary range for this position in all eligible locations. This range may differ based on your geographic location and cost of living considerations. At Cornerstone Research, we believe compensation is more than just a base salary. We offer a competitive total compensation package that includes an annual performance bonus and comprehensive benefits such as flexible options for healthcare, paid time off, and retirement savings. Relocation assistance is not offered for this position. Boston: $138,900 - $166,300 Chicago: $132,600 - $158,600 Los Angeles: $139,300 - 166,800 New York: $141,800 - $169,700 San Francisco: $152,200 - $182,000 Washington, D.C.: $136,100 - $162,900 We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. Who We Are: Cornerstone Research provides economic and financial analysis and expert testimony in all phases of commercial litigation and regulatory proceedings. We work with a broad network of testifying experts, including leaders from academia and industry, who are recognized for their depth of knowledge, accomplishments, and research. Our staff consultants contribute expertise in economics, finance, accounting, and marketing, as well as business acumen, familiarity with the litigation process, and a commitment to produce outstanding results. We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. The firm's uniquely collegial, supportive atmosphere makes Cornerstone Research a great place to work. We invest in our people in a host of ways, from providing meaningful learning and development opportunities to organizing memorable social events. To many, our culture and our people are the most exciting, enriching aspects of a Cornerstone Research career. Equal Employment Opportunity: Cornerstone Research provides Equal Employment Opportunities to all employees and applicants for employment without regard to legally protected categories, such as age, sex, gender, gender identity, race, color, creed/religious belief, medical condition, predisposing genetic characteristics or genetic information or testing, disability, marital status, pregnancy status, military status, veteran status, arrest or conviction record (except where permitted by law), sexual orientation, ethnic background, citizen status, ancestry, national origin, or any other consideration protected by federal, state or local law.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We are looking for a Mission Software Engineering Manager to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap., • Work directly with customers to understand their problems and translate those into features in Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Deploy and maintain Scale software at customer sites, • Develop customer requested features and work closely with them to ensure that they win customer love., • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • 5+ years of full-time engineering experience, post-graduation, • 2+ years of prior engineering management or equivalent experience and has managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Linux experience: Understanding of shell scripting, operating systems, etc, • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc), • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructureto join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing. You will: • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components, • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product., • You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus., • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment., • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment., • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering., • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000—$259,440 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$165,600—$233,496 USDThe base salary range for this full-time position in the location of St. Louis is:$138,000—$194,580 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and About the team Join our team as a Platform Engineer focused on network architecture and site reliability. In this role, you will own the design and implementation of our cloud network architecture, ensuring our platform is resilient, secure, and scales effectively across multiple AWS accounts, environments, and regions. You'll architect solutions for complex networking challenges like hierarchical CIDR allocation across accounts and integrations, implement disaster recovery and regional redundancy strategies, and establish the reliability practices that keep our healthcare platform running. Working closely with leadership and cross-functional teams, you'll build the foundational infrastructure that supports our rapidly growing platform while ensuring we can handle failures gracefully and recover quickly. Position Responsibilities: In this role, you'll own critical infrastructure that ensures platform reliability and scalability. You will: • Design network architecture: Architect and implement hierarchical CIDR allocation strategies across multiple AWS accounts, environments, and external integrations, ensuring proper subnet organization and IP address management., • Build multi-region capabilities: Design and implement regional redundancy and multi-region failover strategies to support disaster recovery requirements and improve platform availability., • Manage cloud networking: Own VPC design, subnets, routing tables, security groups, NACLs, VPC peering, Transit Gateway, and other AWS networking components across our infrastructure., • Implement disaster recovery: Establish and regularly test disaster recovery procedures, backup strategies, and failover mechanisms to ensure business continuity., • Evaluate multi-cloud solutions: Assess and prototype solutions across AWS, Azure, GCP, and Oracle Cloud to determine optimal approaches for specific use cases and integrations., • Monitor platform health: Define and implement platform health indicators, SLIs, SLOs, and monitoring that provide early warning of infrastructure issues and track reliability improvements., • Ensure security and compliance: Work with security teams to implement network security best practices, maintain compliance requirements (HIPAA, SOC2, FedRAMP), and conduct security reviews., • Drive infrastructure reliability: Participate in on-call rotations, lead incident response for infrastructure issues, conduct postmortems, and implement improvements to prevent recurrence., • Automate infrastructure management: Build infrastructure-as-code using Terraform to manage network resources, implement self-service capabilities, and ensure consistency across environments. Requirements: • 5+ years of infrastructure engineering, DevOps, or site reliability engineering experience., • Experience leading projects or teams: Demonstrated ability to lead technical initiatives, drive architectural decisions, or mentor other engineers., • Extensive AWS expertise: Deep production experience with VPC, subnets, routing, security groups, Transit Gateway, Direct Connect, Route 53, and other AWS networking services., • Network architecture experience: Proven track record designing and implementing complex network architectures including CIDR planning, subnet design, and multi-account strategies., • Disaster recovery expertise: Experience designing and testing disaster recovery procedures, backup strategies, and multi-region failover capabilities., • Infrastructure as code: Strong experience with Terraform for managing cloud infrastructure at scale., • Site reliability practices: Understanding of SLIs, SLOs, error budgets, incident management, and reliability engineering principles., • Strong development skills: Proficiency in Python or similar languages for automation and tooling., • Security mindset: Understanding of network security principles, encryption, IAM, and compliance requirements in regulated industries. Preferred Qualifications: • Multi-cloud experience: Hands-on experience with Azure, GCP, or Oracle Cloud networking and cross-cloud connectivity., • Rust development experience or interest in learning Rust for infrastructure tooling., • Advanced AWS certifications: AWS Solutions Architect Professional, AWS Advanced Networking, or similar certifications., • Container networking: Experience with ECS, EKS, or Kubernetes networking, service mesh, and load balancing., • Database networking: Understanding of database replication, Aurora Global Databases, and cross-region data synchronization., • CDN and edge networking: Experience with CloudFront, edge locations, and content delivery optimization., • Cost optimization: Track record of reducing infrastructure costs while maintaining or improving reliability., • Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$130,000—$160,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior or Staff Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you'll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers., • Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement., • Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers., • Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection., • Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs., • Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies., • Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response., • Proven experience in a senior role, with 5+ years of full-time software engineering experience., • Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana)., • Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)., • Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups., • Proficiency in Python or JavaScript/TypeScript, and SQL. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency. • Define technical strategy for agentic guardrails, explainability, and fleet orchestration., • Ensure system reliability and performance across multiple security classifications and network types., • Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance., • Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members., • Influence the long-term product strategy and technical roadmap for the Federal business unit., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We're looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You'll play a critical role in delivering technical solutions-all while helping your team grow and execute. You'll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You'll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Day to day: • 50% Field engineering - customer engagement, technical development and delivery, • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs., • Work directly with customers to understand their problems and translate those into custom workflows within Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation, • 5+ years of full-time engineering experience, post-graduation., • 2+ years of prior engineering management or equivalent experience and previously managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus., • Linux experience: Understanding of shell scripting, operating systems, etc., • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus., • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Understand unique DoD and USG constraints when it comes to technology. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,700—$341,550 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$238,050—$297,850 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is:$213,900—$267,950 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, ___-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! ABOUT THE ROLE This role sits within Anaplan's IT Customer Experience organization and is focused on transforming how Anaplanemployeeswork. You will design, build, and scale AI tools, agents, and capabilities that drive productivity, smarter decision-making, and operational efficiency across our global workforce. Anaplan is building its Enterprise AI Center of Excellence (COE) - a one-stop shop for all internal AI at Anaplan - and is looking for an AI Principal Architect to lead it from a technical standpoint. This is a senior, newly created role at the intersection of hands-on enterprise AI engineering, internal system architecture, technical leadership, and workforce enablement. The AI Principal Architect will own the technical vision for Anaplan's internal AI - designing the reference architecture for LLMs, agentic AI, and Gemini Enterprise; setting engineering standards; evaluating emerging platforms; and ensuring every employee-facing initiative is built with rigor, scalability, and responsible design. This role carries a hybrid profile: deep individual technical contribution combined with team leadership influence. You will mentor engineers, guide architectural decisions, serve as the primary technical escalation point, and contribute a forward-looking perspective to the 2-3 yearAI technology roadmap - without necessarily holding formal management authority over all contributors. You will report directly to the Director, IT Customer Experience, who co-leads the Enterprise AI COE alongside the Financial Flexibility Lead and a GTM Champion as a 3-in-a-box. You will collaborate closely with Technical/Engineering teams (dotted-line, foragent development and delivery) and the Transformation & Financial Flexibility team (toidentifyAI-driven cost-saving opportunities). KEY RESPONSIBILITIES Reference Architecture & Enterprise AI Engineering • Own and publish the reference architecture for Anaplan's internal AI - covering LLMs, agentic AI frameworks, Gemini Enterprise integrations, and data pipelines., • Architect end-to-end internal enterprise AI solutions designed for the scale, security, and reliability requirements of a global workforce., • Set and enforce AI engineering standards, coding practices, code review processes, and technical guardrails across all internal AI projects., • Lead hands-on technical design reviews and guide implementation decisions from intake through production deployment., • Evaluate, select, and onboard new enterprise AI platforms and tools - providing technical recommendations grounded in internal workforce needs., • Design the LLM abstraction layer and multi-model strategy tooptimizecost, performance, and flexibility., • Define andmaintaintechnical evaluation criteria for the AI intake process - assessing feasibility,buildcomplexity, security risk, and integration requirements for employee-facing tools., • Ensure all internal AI initiativespassengineering, security, compliance, and responsible AI review before development begins., • Maintain enterprise AI technical policies, engineering standards, and responsible AI guardrails in partnership with Security and Compliance., • Translate approved internal use cases into clear technical specifications and hand off to engineering teams with full architectural context., • Define enterprise AI data layer and integration architecture across core systems (Salesforce, ServiceNow, Gainsight, Workday)., • Integrate with ServiceNow AI Control Tower to track all AI use cases, agents, and realized business value., • Implement human-in-the-loop, explainability, and auditability frameworks for all decision-impacting AI systems., • Partner with Finance to define and measure AI-driven ROI, ensuring alignment with enterprise value targets., • Provide technical direction, coaching, and mentorship to engineers across the AI Governance & Enablement and AI Operations & Insights teams., • Serve as the primary technical escalation point for complex internal AI delivery challenges and architecture decisions., • Partner with Technical/Engineering teams (dotted-line) on agent architecture, build quality, and delivery timelines., • Help define the technical bar for AI team hiring and contribute to onboarding and skills development programs., • Oversee the technical deployment and operationalization of AI agents and solutions, ensuring production readiness and stability for Anaplan employees., • Drive Gemini Enterprise adoption and lead AI Friday sessions with genuine technical depth., • Build andmaintainengineering dashboards tracking internal AI system performance, adoption rates, and ROI metrics., • Research and prototype emerging AI/ML techniques, large language models, agent frameworks, and enterprise tooling toidentifyinternal productivity and cost-saving opportunities., • Design and lead proof-of-concept pilots thatvalidatenovel internal use cases beforecommitting tofull engineering investment., • Build andmaintainthe AI innovation pipeline - a living backlog of high-potential experiments., • Work hand in hand with the Transformation & Financial Flexibility team toidentifyand technicallyvalidateAI-driven cost-saving opportunities in Anaplan's internal operations., • Act as technical advisor and AI subject matter expert to business unitsidentifyinginternal AI use cases., • Support the 3-in-a-box COE co-leadership (IT, Finance, GTM) with technical analysis, architecture reviews, and feasibility assessments., • 7+ years of software or AI/ML engineering experience, with at least 3 years in a technical lead, staff engineer, or principal-level role - ideally with exposure to enterprise IT or internal tooling environments., • Deep hands-onexpertiseacross the AI/ML stack: LLMs, retrieval-augmented generation (RAG), agent frameworks, orMLOpspipelines - with experience in enterprise or workforce deployment contexts., • Proven experience architecting and deploying enterprise-scale internal AI systems from design through production, including reliability, observability, and performance engineering., • Proficiencyin Python and enterprise cloud AI platforms (GCP Vertex AI, Azure AI, or AWS SageMaker) and AI orchestration tooling., • Hands-on experience with Google Workspace AI and Gemini Enterprise, or equivalent enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise)., • Demonstrated ability toprovidetechnical leadership, mentorship, and architectural guidance to engineering teams without formal management authority., • Ability to manage competing priorities, dependencies, and delivery timelines across multiple workstreams., • Strong business acumen and communication skills - able to translate complex enterprise AI/ML concepts into business value narratives for C-level audiences., • Experience with AI governance frameworks, responsible AI principles, or enterprise AI policy and risk management for internal deployments., • Familiarity with ServiceNow or similar ITSM platforms and integration patterns., • Background in enterprise change management, internal AI enablement, or large-scale digital transformation programs., • Experience working with cross-functional finance or business transformation teams on AI-driven cost optimization., • Prior experience in an internal IT or enterprise technology function at a high-growth SaaS company. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.

Microsoft Certified: Azure DevOps Engineer Expert (AZ-400). Microsoft Certified: Azure Security Engineer Associate (AZ-500). Platform Engineering Design and Architecture.

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens. Teladoc Health Inc. seeks Senior Software Engineer (Multiple Openings) at its facility located at 155 E 44th Street, 17th Floor, New York, NY 10017. Summary of Position Lead the design, development, and deployment of scalable software solutions for Teladoc's enterprise-level telehealth SaaS platform. (30%) Manage and mentor a team of software engineers, ensuring efficient project execution and timely delivery of features. (15%) Architect and implement microservices using PHP/Symfony, including specialized solutions like patient matching algorithms. (20%) Oversee containerized application management in Kubernetes across multi-cloud environments (AWS and Azure). (10%) Provide technical direction for core platform components and ensure adherence to engineering best practices. (15%) Drive the adoption of emerging technologies and contribute to company-wide standards in microservices architecture, CI/CD, and cloud infrastructure. (10%). Telecommuting: 100% Telecommuting, Will supervise 3 Software Engineers. Required Qualifications This position requires a bachelor's degree or foreign equivalent in Electronic Engineering, Computer Science, Information Science or a related field plus 7 years of experience as a Software Engineer, Full Stack Developer, or occupation involving software deliverables through the full development lifecycle for SaaS platforms. Additionally, the applicant must have employment experience with: (1) Developing and maintaining SaaS platforms and deployments utilizing PHP, Symfony, PostgreSQL, React, Redux, TypeScript, and Node.js; (2) Designing and implementing custom role-based authorization (RBAC) systems and comprehensive document management capabilities (APIs and front-end) within large-scale telehealth applications; (3) Deploying, monitoring, and maintaining applications within Kubernetes environments using Docker, Helm, CI/CD pipelines, and observability tools (Elasticsearch, Kibana, Grafana, and Prometheus): (4) Developing and enhancing software solutions within the healthcare industry by building backend APIs and microservices using PHP/Symfony, Node/Express, and frontend UI components using React.js, integrated with database systems (PostgreSQL and SQL Server); and (5) Migrating Kubernetes-deployed applications and services between cloud platforms from AWS to Microsoft Azure, to support international market infrastructure. Alternatively, the employer will accept a master's degree, or foreign equivalent, in Electronic Engineering, Computer Science, Information Science or a related field plus 5 years of experience as a Software Engineer, Full Stack Developer or occupation involving software deliverables through the full development lifecycle for SaaS platforms. Additionally, the applicant must have employment experience with: (1) Developing and maintaining SaaS platforms and deployments utilizing PHP, Symfony, PostgreSQL, React, Redux, TypeScript, and Node.js; (2) Designing and implementing custom role-based authorization (RBAC) systems and comprehensive document management capabilities (APIs and front-end) within large-scale telehealth applications; (3) Deploying, monitoring, and maintaining applications within Kubernetes environments using Docker, Helm, CI/CD pipelines, and observability tools (Elasticsearch, Kibana, Grafana, and Prometheus): (4) Developing and enhancing software solutions within the healthcare industry by building backend APIs and microservices using PHP/Symfony, Node/Express, and frontend UI components using React.js, integrated with database systems (PostgreSQL and SQL Server); and (5) Migrating Kubernetes-deployed applications and services between cloud platforms from AWS to Microsoft Azure, to support international market infrastructure. RATE OF PAY: $189,592.00 -$189,592.00 per year Applicants who are interested in this position should apply by emailing resume to ___. Reference Job Code: 9522990_2026 or via ___ and search for Senior Software Engineer. We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details. As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified. Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Why join Teladoc Health? * Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our ___. * Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference. * Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day. * Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways. * Enjoy an inclusive ___ centered around you and your family, with tailored programs that address your unique needs. * Explore ___ with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on ___. As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind. Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available ___.

DevOps Manager – Lead Databricks, AWS & Azure Cloud Strategy for a High-Growth Data-Driven Organization (Hybrid TX) This Jobot Job is hosted by: Alex Millan Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $130,000 - $140,000 per year A bit about us: Our client is a fast-growing technology company advancing the way data, cloud, and AI infrastructure power enterprise operations. With over a decade of innovation and a strong culture rooted in servant leadership, collaboration, and performance, the company is scaling its data and DevOps capabilities to support next-generation analytics and machine learning platforms. They are seeking a DevOps Manager (Data & Cloud Engineering) to lead the team responsible for modernizing and expanding their cloud and data infrastructure across AWS and Azure. This is a strategic, hands-on leadership role focused on Databricks, CI/CD automation, infrastructure-as-code, and AI-driven data modeling. You’ll lead a cross-functional group of DevOps engineers, data engineers, and cloud architects — driving reliability, scalability, and performance across a high-impact environment. Why join us? Lead and scale a multidisciplinary team integrating DevOps, Data Engineering, and Machine Learning Operations at enterprise scale. Drive the evolution of a robust Databricks ecosystem, enabling advanced analytics, AI pipelines, and real-time data workflows. Architect and automate cloud infrastructure across AWS and Azure to ensure performance, security, and cost efficiency. Join a culture that prioritizes servant leadership, collaboration, and innovation in a high-growth environment. Competitive compensation package including base salary, annual bonus, and equity, plus comprehensive family benefits and career advancement opportunities. Job Details Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 7+ years of experience in DevOps, Cloud Infrastructure, or Data Engineering roles, with 3+ years in management or team leadership. Deep hands-on experience with Databricks for large-scale data and ML workflows, including model orchestration, pipeline management, and optimization. Experience fine-tuning or deploying Large Language Models (LLMs) using Databricks or similar frameworks. Proven expertise in AWS and Azure cloud environments. Strong proficiency in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps). Expertise with Infrastructure-as-Code (Terraform, CloudFormation, or ARM templates). Skilled in Python, Bash, or PowerShell for automation and deployment scripting. Familiarity with Docker, Kubernetes, and container orchestration in production environments. Experience managing data-centric environments supporting data lakes, machine learning, and real-time analytics. Strong understanding of security, compliance, and governance frameworks (SOC 2, HIPAA, GDPR). Preferred: Certifications such as AWS Certified DevOps Engineer or Azure DevOps Engineer Expert. Experience with MLOps, streaming data, and cloud cost optimization. Background in Agile/Scrum methodologies with tools like Jira or Asana. 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. 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Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: * Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. * Develop and maintain backend services using Python, focusing on AI-driven applications. * Design and implement APIs for seamless integration with AI models and services. * Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning. * Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. * Participate in code reviews, testing, and quality assurance processes. * Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. * Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. * Document and communicate development processes, system designs, and architectural decisions. * Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 6+ years of experience in industry with a strong focus on ML solutions development and production deployment. * Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. * Strong proficiency in Python and familiarity with ML libraries such as PyTorch. * Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies * Familiarity with cloud platforms such as AWS or Azure. * Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services * Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. * Passion for customer, innovation, product quality, service excellence, and test engineering * The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. * Experience working with microservices/an API-based application paradigm. * Good written communication skills that enable collaboration in a remote environment. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$142,800—$225,000 USDNew York, NY Salary Range$180,400—$225,000 USDDenver, CO Salary Range$165,600—$207,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Microsoft Azure certifications (Azure Administrator Azure DevOps Engineer or Azure Solutions Architect preferred). Ensure security and compliance across cloud resources by implementing Azure Security Center recommendations configuring identity and access management and ensuring compliance with. Desi

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens. Teladoc Health Inc. seeks Manager, DevOps Engineering (Multiple Openings) at its facility located at 155 E 44th Street, 17th Floor, New York, NY 10017. JOB DESCRIPTION: Work with engineering development leadership to build shared cloud infrastructure and application services that meet the requirements and needs of the commercial platform and application teams. Ensure services are designed with 24/7 availability and operational maturity. Lead, manage and inspire a team of DevOps engineers. Build and maintain a highly effective release management system. Assign and monitor the work of technical personnel, ensuring that application infrastructure development and deployment is done in the best possible way, and implement quality control and review systems throughout the development and deployment processes. Conduct periodic reviews with key stakeholders. Identify, evaluate, and execute preventive measures to minimize/avoid impact to the customer's experience. Analyze and review application performance against the Technical Operations SLA. Work with cross-functional business teams to understand requirements and other performance SLAs. Collaborate with Product and Customer Support teams to plan and deploy product releases. Implement proactive monitoring, alerting, trend analysis and self-healing systems. Initiate and drive service improvement plans, collaborating with our SRE and NOC teams. Manage analysis and approval of new code through security and performance gates that the position will design and develop for feature-complete software. Be an advocate for security and performance standards in the organization. Manage operational aspect of production and development servers including developing, training in, and validating compliance with procedures and checklists related to disk space usage, monitoring solutions, deployment, conventions, access to the production and development sources, source control access and usage, performance monitoring, code modifications validation, scheduling, and more. Responsible for the team's adherence to ITIL and other audited regulatory compliance (HiTrust, FedRAMP) programs. Update management in case of critical incidents and act as a point of contact for other related communications. Work within IT and Technical Operations, business stakeholders and with vendors, to successfully identify, prioritize, and resolve issues and provide subject matter expertise for enhancements, developments, operational improvements to the website applications that Teladoc Health relies on. Ensure system technical specifications, process, procedures, runbooks, SOPs, and infrastructure requirements definitions based on conceptual design are maintained and high-quality for all technical and non-technical deliverables to a wider organizational audience and for T3-4 level support of production workloads. Ensure the development of our SaaS public and private cloud infrastructure is conducted in cost conscious ways, using "infrastructure as code" and automated environment provisioning tools and techniques. Participate in the full software and infrastructure development life cycle process including requirements analysis and design implementation. Consult with the Product Management team to prototype, refine, test, and ship products to meet business needs. Consult and participate in implementation of new customer features, products, and utilities. Identify and evaluate new technologies for implementation. Analyze user needs to determine technical requirements. Collaborate with the Operational, Development and Architectural teams to ensure operational maturity requirements (reliability, availability, scalability, observability, performance, capacity etc.) are met, and recommend operational improvements to them. Ensure internally developed and externally acquired custom off the shelf solutions are appropriately instrumented and monitored via the Teladoc monitoring standards. Perform managerial work to accomplish tasks and projects within defined timelines and in a professional manner in alignment with active standards. 100% Telecommuting. The role supervises 9 individuals. REQUIREMENTS: This position requires a bachelor's degree, or foreign equivalent in Computer Engineering, Electrical Engineering or a related field. Plus 8 years of experience as a Technology Lead, Azure Infrastructure Consultant, Microsoft Build Master, Lead Engineer, or other occupation involving Software within the Service (SaaS) industry. Additionally, the applicant must have professional experience with: (1) Version management and ticketing systems such as Git and Jira; (2) Deploying, operating and troubleshooting web application software on Unix/Linux systems; (3) Continuous integration, testing and deployment with tools such as Jenkins, Azure DevOps, Bamboo CI, etc.; (4) Working with large scale infrastructure in AWS or Azure public cloud; (5) Designing systems with high availability and disaster recovery; (6) Monitoring, metrics and visualization tools such as New Relic, Sensu, Nagios, etc.; and (7) Unix/Linux system administration and troubleshooting. Alternatively, the employer will accept a Master's degree, or foreign equivalent in Computer Engineering, Electrical Engineering or a related field. Plus 6 years of experience as a Technology Lead, Azure Infrastructure Consultant, Microsoft Build Master, Lead Engineer, or other occupation involving Software within the Service (SaaS) industry. Additionally, the applicant must have professional experience with: (1) Version management and ticketing systems such as Git and Jira; (2) Deploying, operating and troubleshooting web application software on Unix/Linux systems; (3) Continuous integration, testing and deployment with tools such as Jenkins, Azure DevOps, Bamboo CI, etc.; (4) Working with large scale infrastructure in AWS or Azure public cloud; (5) Designing systems with high availability and disaster recovery; (6) Monitoring, metrics and visualization tools such as New Relic, Sensu, Nagios, etc.; and (7) Unix/Linux system administration and troubleshooting. RATE OF PAY: $261,248.00 - $261,248.00 per year Applicants who are interested in this position should apply by emailing resume to ___. Reference Job Code: 9647745_2026 or via ___ and search for Manager, DevOps Engineering. We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details. As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified. Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Why join Teladoc Health? * Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our ___. * Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference. * Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day. * Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways. * Enjoy an inclusive ___ centered around you and your family, with tailored programs that address your unique needs. * Explore ___ with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on ___. As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind. Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available ___.

Senior AI/ML Engineer Cooley is seeking a Senior AI/ML Engineer to join the Practice Engineering team. Position summary: As a leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence, and all members of the department are expected to advance this mission. To that end, the Artificial Intelligence/ Machine Learning Engineer will play a key role in building, deploying, and operating enterprise scale Artificial Intelligence (AI) and Machine Learning (ML) solutions across Azure, AWS, and other cloud and hybrid platforms. This role is highly hands on and execution focused, combining strong software engineering practices with applied AI and ML expertise to deliver secure, scalable, and high performing solutions that support the firm's business and technology objectives. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Design, build, and maintain production grade AI and ML solutions across Azure, AWS, and other cloud platforms, • Implement end to end AI application pipelines including data ingestion, prompt engineering, evaluation, deployment, and monitoring, • Collaborate closely with engineering, data, and business teams to translate requirements into practical AI and ML implementations, • Write high quality, scalable, and maintainable code for AI and ML workloads, • Optimize performance, reliability, and cost efficiency of cloud based AI and ML services, • Integrate AI and ML solutions with enterprise data platforms such as data lakes, data warehouses, APIs, and streaming systems, • Support AI solution lifecycle management including versioning, prompt iteration, evaluation, and production support, • Apply security, compliance, and data privacy best practices in all AI and ML implementations, • Contribute to technical design discussions and provide guidance on AI and ML implementation patterns, • Stay current with advancements in AI, ML, and cloud technologies and apply them pragmatically, • 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, • 5+ years directly applicable experience (e.g., building and deploying AI and ML solutions), • Hands on experience developing AI and ML solutions on Azure and or AWS, • Strong proficiency in Python for building and operating LLM-powered applications and agentic workflows, • Experience integrating LLM applications with enterprise data sources, APIs, and retrieval systems (RAG), • Hands on experience building agentic and LLM-powered applications using frameworks such as LangChain, LangSmith, Pydantic AI, or similar orchestration and observability tooling, • Bachelor's degree in Computer Science, Engineering, Information Systems or related discipline Competencies: • Excellent oral and written communications skills, including technical and user documentation writing, • Strong analytical, problem solving, critical thinking and implementation skills, • Professional demeanor, • Excellent attention to detail, follow-up, organizational and communications skills, • Ability to work independently and under pressure, • Ability to solve problems independently and simultaneously, • Entrepreneurial by nature, • Ability to organize, prioritize and coordinate multiple activities often under tight timelines, • Ability to drive projects to completion and achieve goals, • Strong judgment, • Team-player with collaborative spirit, • Unwavering ability to handle and maintain confidentiality regarding firm information, projects,, • client data, • High level of professionalism at all times, • Effective presentation skills 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 $145,000 - $210,000. 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.

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

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: • Work directly with customers to understand their problems and translate those into features in Scale's platform., • Be open to >50% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Deploy and maintain Scale software at customer sites, • Develop customer requested features and work closely with them to ensure that they win customer love., • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you have: • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Linux experience: Understanding of shell scripting, operating systems, etc, • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc), • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Senior Datacenter and Cloud Engineer Cooley is seeking a Senior Technology Datacenter and Cloud Engineer to join the DevOps team. Position summary: The Senior Data Center and Cloud Engineer ("DCE") is responsible for the firm's Datacenters and local office server rooms and is a technical expert who executes effectively on server infrastructure projects. This position will have a thorough understanding of firm technologies and systems and will be able to understand both the business and technical requirements for new products that will be engineered and implemented by the group. Position responsibilities: • Analyze system performance, modify parameters to improve throughput and effectively utilize system resources. Monitor resource usage, making required adjustments, • Participate in on-call production support activities, • Work closely with the Architecture and Engineering group as well as the Network Engineering group to provision complex infrastructure designs, for example, the design, implementation and support of VMware server infrastructure, • Monitor, maintain and ensure the regular execution of backup routines by responding to system alerts and maintaining data replication between datacenters and DR locations, • Participate in the planning, testing and execution of DR/BC procedures including failover and failback between datacenters and across the Firm's network, • Proactively create and implement procedures to prevent and reduce the severity of outages. Implement automation wherever possible, • Responsible for implementation of required hardware and/or software for all tier and affinity infrastructure, • Responsible for all aspects of the datacenternetwork including racking, cabling and power related to the infrastructure including those involving services from providers such as co-location management and carrier services, • Maintain the integrity of the servers (physical and virtual), storage systems, network and security devices and overall network infrastructure for the business unit via actively monitoring, troubleshooting, and participating in regular monthly systems patching and upgrade activities, • Responsible for identifying problem areas in a proactive way and developing solutions to meet the challenges in theDatacenter environment, • Responsible for troubleshooting and issuemanagementthroughout the datacenter and cloud systems, • Analyze business needs and the external environment to develop, scope, and enable implementation of enterprise infrastructure, • Communicate ideas through presentations, reports, and documentation, • Work with stakeholders, management, and subject matter experts to develop and implement technology strategies, • Collaborate with technology leadership in developing and maintaining a roadmap for assigned areas, • Coordinate with and participate in activities with vendors, as required, • Provide clear and grammatically correct documentation, emails, procedures, and status (both verbal and written), • Comply with all department policies, standards and procedures, • Participate in change control and change managementprocesses, • Respond to administrative requests and responsibilities in a timely manner, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 6+ years' direct applicable experience (e.g., system administration with advanced systems engineering), • Enterprise architecture expertise for both collocated and cloud datacenters, • Experience with Hyperscalers, specifically Azure and AWS, • Bachelor's or master's degree in computer science or related discipline, • Current certifications in AWS or Azure or VMware, • Experience working in a law firm or professional services environment, • NetApp storage and enterprise storage protocols to include CIFS, NFS, iSCSI, and FC, • Experience with backup software Cohesity or Veeam and AWS Backup, • Experience with:, • Enterprise server technology, specifically Cisco UCS, • Scripting with PowerShell and/or Python, • Enterprise backup technologies, • Enterprise DR Methodologies and technologies, • DevOps technologies and methods Competencies: • Professional demeanor at all times, including during project engagement, • Excellent communication (verbal and written) skills, • Strong project management skills, and the ability to translate complex technical concepts into simple language, • Strong team player who can successfully interact with all levels of business professionals and effectively work with diverse personalities, • Strong analytical and project management skills. Capable of interpreting and applying complex technical information, • Ability to work independently and to make sound judgments regarding the best course of action to resolve problems; ability to determine when further expertise is necessary and contact the proper individuals, as required, • Ability to work effectively under pressure, set priorities, handle a number of matters concurrently and in a timely manner, all within a fast-paced environment, • High level of organizational skills required to adequately manage projects, monitor numerous live systems simultaneously, ascertain trends which may indicate problems and keep accurate up-to-date records 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 $130,000 - $195,000. 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.

Senior Cyber Security Engineer Cooley is seeking a Senior Cyber Security Engineer to join the Security team. Position summary: Cooley Technology embraces a culture of customer service excellence and all members of the department are expected to move this agenda forward. To that end, the Cyber Security Engineer is expected to recognize that the Cooley Technology department is a service organization first and foremost and will be evaluated on this requirement equal in importance to the technical or operational responsibilities outlined later in this document. The Cyber Security Engineer will work to maintain and monitor the security practices and systems implemented by the Firm. The Cyber Security Engineer will implement and manage security systems and tools as directed by Firm policies, procedures, and management. Specific duties include, but are not limited to, the following: Position responsibilities • Review, analyze and monitor security system reports and logs for suspicious activities, trends and patterns. This includes but is not limited to web filters, mail gateways, firewalls, encryption systems, anti-malware systems, IDS/IPS, • Configure, maintain, and administer security products and solutions used within the Firm, • Configure, maintain and administer firewalls, VPN, privileged access management (PAM), data loss prevention, EDR, and security information event monitoring (SIEM) systems, • As a member of the Incident Response team respond to alerts, warnings, incidents, and help desk tickets to ensure minimum exposure of Firm assets under the direction of the Cyber Security Manager, • Participate in troubleshooting efforts on all cyber security related problems to include the establishment, management, and use of TAM arrangements with specified security vendors, • Participate as a technician/engineer on Technology and Innovation projects, • Conduct risk and security reviews on products as directed by the Cyber Security Manager or Technology management, • Recommend controls to ensure the appropriate level of protection and adherence to the goals of the overall information security strategy, • Monitor Technology security metrics and measures to include monitoring security system logs, Windows server logs, and network monitoring systems, • Provide consultation and conduct internal investigations that may require forensic analysis under the direction of the Cyber Security Manager and/or Technology management, • Respond to audit findings as directed by the Cyber Security Manager and/or Technology Management, • Evaluate and recommend commercial security vendors and products, • 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, • 5+ years of experience in information security with the proven ability to operate at an elevated level in terms of scope of responsibility, judgement and autonomy., • Proven practical experience in information security and well-rounded knowledge of Technology, • Experience working with:, • Active Directory, • Firewalls, • Intrusion Detection and Prevention Systems, • Endpoint Detection and Response (EDR) and management console, • Web filter/proxy technologies, • Encryption technologies - whole disk, e-mail, and data at rest, • Vulnerability scanners, • Data loss prevention, • Email gateways and anti-spam services, • Privileged account management systems, • Security information and event management systems, • AWS and Azure Cloud Services, • Bachelor's Degree in Information Technology or Computer Information Systems, • CISSP or equivalent certifications and/or experience, • Experience working with the following products:, • Palo Alto Network's Firewalls and Prisma Access, • Tenable Vulnerability Scanner, • VMWare, • Cyberhaven Data Loss Prevention, • Proofpoint Email Gateway and Anti-Spam, • Forensic Tools, • S/MIME email encryption, • Delina Secret Server, • Crowdstrike, • Google SecOps SIEM, • Two factor authentication technologies, • Penetration testing tools, • Patch management systems Competencies: • Exceptional customer service skills, • Excellent analytical, problem-solving, customer service, project management and communication skills, • Goal-oriented, • Excellent decision making, integrity and working with IT management, business users and staff, • Excellent oral and written communication skills, including technical and user documentation, • Strong organizational skills, • Ability to work independently and under high pressure with tight schedules and deadlines, • Ability to interact well with all levels of business professionals, • Excellent active listening skills, • Flexible and patient with process development/execution and adherence to instruct project management practices, • Capable of grasping new concepts quickly and without prior experience, • Detail-oriented, • Ability to multi-task and work in fast-paced environment, • Ability to interact and coordinate with several teams to achieve objectives, • Ability to solve problems independently and simultaneously, effectively managing multiple tasks, • Professional demeanor at all times 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 $145,000 - $210,000. 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 Cloud Systems Engineer is an integral part of the Chobani IT Infrastructure team, supporting both cloud and on-premise environments for the business. The role emphasizes expertise in IaaS platforms and Microsoft 365. This position will focus on ensuring system performance, security, and reliability, while collaborating with cross-functional teams to align systems with business requirements. • Design, implement, and manage scalable cloud infrastructure in Microsoft Azure, including Virtual Machines, App Services, and Azure Kubernetes Service (AKS)., • Develop and manage API integrations, enabling seamless communication between cloud service an applications., • Administer and optimize Microsoft 365 services, including Exchange Online, SharePoint Online, OneDrive, Teams, and the Power Platform., • Managing identities: Azure Entra ID user/group provisioning, hybrid identity setups with Azure AD Connect, and single sign-on (SSO)., • Ensure robust security and compliance in Azure through proper configuration of Azure AD, Key Vault, NSGs, and Azure Security Center., • Configure and maintain cloud-based disaster recovery and backup solutions, such as Azure Backup and Site Recovery., • Monitor, troubleshoot, and optimize cloud performance using tools like Azure Monitor, Log Analytics, and Application Insights., • Manage and maintain VMware environments, including ESXi hosts, vCenter, and virtualized workloads., • Administer and support Windows Server environments, including Active Directory, DNS, DHCP, and file/print services., • Oversee backup and recovery operations for on-premises infrastructure using tools such as Veeam, Commvault, or similar., • Monitor and manage storage systems, including SAN, NAS, and direct-attached storage., • Perform routine server maintenance, patching, and hardware troubleshooting., • Configure and monitor email security protocols (SPF, DKIM, DMARC) and email gateway solutions to protect against phishing and spam., • Collaborate with security teams to maintain a Zero Trust Architecture across all systems., • Automate repetitive tasks and deployments using PowerShell, Python or other scripting languages., • Leverage Infrastructure as Code (IaC) tools such as Terraform, Bicep, or ARM templates for cloud deployments., • Collaborate with cross-functional teams to ensure systems meet business requirements., • Provide Tier 3 support for escalated incidents related to cloud or on-premises infrastructure., • 5 + years maintaining and operating Microsoft Azure or AWS and Microsoft 365 environments, including administration, automation, and optimization., • 5 + years of Windows Server administration, including Active Directory, DNS, DHCP, and Group Policy., • Proficiency in managing and troubleshooting VMware infrastructure., • Experience with backup and recovery tools like Veeam, Commvault, or similar., • Solid understanding of networking fundamentals, including VPNs, DNS, and firewalls., • Advanced scripting and automation skills using PowerShell or Python, • Experience configuring and managing email security protocols (SPF, DKIM, DMARC) and hybrid mail flow., • Familiarity with containerization and AKS (or other Kubernetes solutions)., • Familiarity with SQL database architectures., • Knowledge of storage systems (SAN, NAS) and performance optimization. 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 $94,000.00 - $147,950.00, + 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.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The Associate Applied AI Engineer supports the development, deployment, and maintenance of artificial intelligence applications for the Columbia University Irving Medical Center (CUIMC). This role contributes to the design and implementation of AI-enabled solutions that support administrative, research, clinical, and educational operations across the institution. Working closely with senior engineers and cross-functional teams, the Junior Engineer assists in building applications that leverage large language models (LLMs), retrieval-augmented generation (RAG), automation frameworks, and machine learning techniques. This role focuses on implementing AI solutions, supporting application deployment, and ensuring systems operate securely, efficiently, and in alignment with institutional policies and governance standards. Responsibilities Essential Duties: AI Development and Implementation • Design, develop, and maintain AI-enabled applications utilizing retrieval-augmented generation (RAG) techniques to enhance knowledge discovery, automate workflows, and support decision-making across CUIMC operations., • Build scalable AI tools and services that integrate with ___CUIMC administrative, clinical, research, and educational systems., • Develop rapid proof-of-concept prototypes to evaluate ___new technologies and demonstrate solution feasibility to stakeholders., • Troubleshoot AI applications and assist with diagnosing and resolving technical or performance issues in development or production environments., • Monitor emerging developments in artificial intelligence, machine learning frameworks, and generative AI technologies relevant to healthcare and higher education., • Prototype solutions using open-source tools and AI platforms present demonstrations or findings to internal stakeholders., • Support the design and deployment of AI solutions that prioritize privacy, transparency, security, and ethical use of data., • Adhere to CUIMC policies related to data governance, compliance, and institutional review requirements., • Partner with engineers, analysts, data scientists, and institutional stakeholders to design and implement AI-enabled solutions., • Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Statistics, or equivalent combination of education and experience., • Minimum 4 years of professional experience in software engineering, artificial intelligence, machine learning, data engineering, or ___a related technical field., • Experience with at least one programming language commonly used for AI or application development (e.g., Python, JavaScript, TypeScript, Java, or C#)., • Experience developing, testing, and maintaining software applications, data pipelines, or AI-enabled solutions., • Strong analytical and problem-solving skills with the ability to translate technical concepts into practical solutions., • Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Statistics, or ___a related discipline., • Experience developing applications that leverage large language models (LLMs), generative AI tools, or retrieval-augmented generation (RAG)., • Familiarity with AI development frameworks or orchestration tools such as LangChain, LlamaIndex, or similar technologies., • Experience deploying applications or machine learning workflows in cloud environments such as AWS, Google Cloud Platform, or Microsoft Azure., • Exposure to AI platforms such as Amazon Bedrock, Google Vertex AI, or Azure AI Studio., • Experience working with natural language processing (NLP), data extraction, or analytics involving structured and unstructured data. Columbia University is committed to the hiring of qualified local residents.

Job Description This is a remote position. Junior DevSecOps Engineer Overview We are seeking a Junior DevSecOps Engineer to support the development, security, and deployment of AI-driven applications and data platforms. This role will help integrate security best practices into DevOps processes, ensuring safe, reliable, and scalable solutions across AWS, Azure, Tableau, Power BI, and DealCloud CRM integrations. This is an excellent opportunity for someone early in their career to gain hands-on experience in cloud engineering, DevOps, and security within an AI-focused environment. Key Responsibilities • Assist in building and maintaining CI/CD pipelines for applications and data platforms, • Support implementation of DevSecOps practices, embedding security into development and deployment workflows, • Help manage and maintain cloud environments (AWS and/or Azure), • Assist with infrastructure as code (IaC) using tools such as Terraform, CloudFormation, or Bicep, • Support security scanning and vulnerability management (e.g., SAST, DAST, dependency scanning), • Monitor systems and assist with incident response and remediation, • Collaborate with engineering, QA, and security teams to ensure secure and efficient deployments, • Assist in managing identity and access controls (IAM, Azure AD), • Support logging, monitoring, and observability tools, • Document processes, configurations, and runbooks RequirementsRequired Qualifications • 1–3 years of experience in DevOps, Cloud Engineering, IT Security, or related roles, • Basic understanding of cloud platforms (AWS and/or Azure), • Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins, Azure DevOps), • Exposure to infrastructure as code concepts (Terraform, CloudFormation, or similar), • Basic knowledge of security principles (e.g., authentication, encryption, vulnerability management), • Experience with version control systems (e.g., Git), • Eagerness to learn and grow in DevOps and security practices, • Strong attention to detail and security mindset, • Collaborative team player, • Ability to adapt in a fast-paced, evolving environment, • Proactive approach to problem-solving

Job DescriptionSalary: $60K-$200K Depending on Experience Pathway Partners LLC is looking for talented Network Engineers at both Junior and Senior levels to join our ranks for future projects. You would play key roles in designing, operating, and maintaining customer LAN, WAN, and WLAN networks. Junior Network Engineer Types of skills and experience we are looking for: • At least 2 years of experience in network engineering, • Cisco CCNA certification (or equivalent), • Basic understanding of LAN, WAN, and WLAN technologies, • Familiarity with network protocols (TCP/IP, DHCP, DNS, etc.), • Basic knowledge of network security principles, • Assist in designing and implementing network solutions, • Perform basic network troubleshooting and maintenance, • Help with network documentation and inventory management, • Participate in network monitoring and basic issue resolution, • Support senior engineers in larger projects and deployments, • Learn and apply network management tools for anomaly detection Senior Network Engineer Types of skills and experience we are looking for: • 5+ years of experience in network engineering, • Cisco CCIE certification (or equivalent advanced certification), • Extensive experience with LAN, WAN, and WLAN technologies, • In-depth knowledge of routing and switching protocols, • Strong background in network security and best practices, • Experience with cloud networking (AWS, Azure, or GCP), • Design, develop, test, and deploy complex data communication networks, • Lead network architecture planning and implementation, • Perform advanced troubleshooting and optimize network performance, • Implement and manage network security measures, • Mentor junior engineers and oversee their work, • Evaluate and recommend new networking technologies, • Implement advanced network management systems to detect anomalies, mitigate failures, and prevent unauthorized access Junior and Senior Network Engineers Traits we are looking for across Network Engineer candidates: • Experience in designing, developing, testing, and deploying data communication networks, • Familiarity with network management tools for monitoring, alerting, and anomaly detection, • Strong analytical and problem-solving skills, • Excellent communication skills, both written and verbal, • Ability to work effectively in a team environment, • Willingness to participate in on-call rotations for network support If you have experience building and maintaining robust, secure, and efficient networks, we want to hear from you. Share your resume for potential network engineering projects. Depending on the project, roles may short- or long-term, as well as part-time consultancy or full-time employment. Full-time employees of Pathway receive competitive benefits.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated IT Systems Support Engineer to be based at our New Jersey headquarters. As our second IT hire, you will be a key bridge between hands-on user support and deep-tier systems engineering, reporting directly to and collaborating closely with Thea Energy’s Director - IT across all things infrastructure, security, and support. This is a high-impact, high-ownership role for someone who enjoys building robust systems from the ground up. You'll ensure our scientists, engineers, and executives have a frictionless path to the tools they need - with a leading role in shaping how the Company’s digital foundation is built.Key Responsibility Areas:This role spans both strategic and operational IT, from supporting our scientists and engineers day-to-day to building the systems and automation that scale with the Company. • Own day-to-day IT operations as a primary point of contact for user support, while continuously building and improving the underlying infrastructure., • Design and deploy automated workflows to ensure smooth employee onboarding, offboarding, and lifecycle transitions., • Manage physical and virtual server environments, ensuring high availability, consistent patching, and strong security practices., • Optimize cloud environments, manage identity and access, and maintain a strong security posture across the organization., • Maintain office and lab network infrastructure - including VPNs, firewalls, switches, and Wi-Fi - ensuring reliable, low-latency connectivity., • Build and maintain a thorough knowledge base: clear documentation and infrastructure diagrams that the whole team can rely on., • Manage hardware and software lifecycles, including inventory, procurement, and vendor relationships., • Administer and maintain our MDM environment: managing device enrollment, compliance policies, and configuration profiles across Windows and macOS., • Implement and uphold security best practices to protect mission-critical intellectual property and research data., • Proactively identify and reduce technical debt through automation and process improvement.Ideal Experience & Skillsets:, • 5+ years of experience in systems engineering and desktop support across Windows and macOS., • Proficiency in PowerShell, Python, or similar scripting/automation tools., • Experience managing network infrastructure, including firewalls, switches, and access points., • Hands-on experience with at least one major cloud platform (Azure, GCP, AWS, or Google Workspace/O365)., • Experience with modern IT ticketing systems (e.g., ServiceNow, Zendesk, Freshdesk) and structured support workflows., • Strong documentation skills - able to translate complex systems into clear diagrams and written guides., • Excellent communication skills - comfortable explaining technical issues to both engineers and non-technical stakeholders., • A collaborative, low-ego approach: equally comfortable supporting a user with a hardware issue and leading a server migration., • Ability to thrive in a fast-moving, high-growth environment where priorities can shift quickly., • Experience across multiple cloud platforms (Azure, GCP, AWS, Google Workspace/O365)., • Background working in a startup, research, or scientific/engineering environment., • Familiarity with compliance frameworks or security standards (SOC 2, NIST, etc.)., • Experience with email security platforms (e.g. Barracuda, Proofpoint, Mimecast)., • Familiarity with Security Awareness Training tools (e.g. NINJIO, KnowBe4, Proofpoint).Company Benefits:, • Salary range $85,000-$145,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description Seeking a highly skilled Azure Hybrid Desktop Support Engineer to join our IT team. This role sits at the intersection of end-user support, modern endpoint management, and cloud infrastructure, supporting a hybrid environment spanning on-prem Active Directory and Microsoft Azure (Entra ID). The ideal candidate combines hands-on desktop support experience with modern management tools (Intune, Autopilot) and thrives in a fast-paced, high-performance environment supporting demanding users. Key Responsibilities End-User Support & Operations • Provide white-glove desktop support for executives, traders, and business users, • Troubleshoot Windows 10/11, Microsoft 365, and line-of-business applications, • Support conference rooms, AV systems, and collaboration tools (Teams, Zoom), • Support and maintain hybrid identity environments (on-prem AD + Microsoft Entra ID), • Administer Azure AD Connect, synchronization, and identity troubleshooting, • Manage devices via Microsoft Intune / Endpoint Manager, • Deploy and maintain Windows Autopilot for zero-touch provisioning, • Automate repetitive tasks using PowerShell, • Assist with desktop engineering initiatives (image management, patching, policy deployment), • Support endpoint security tools (Defender for Endpoint, AV/EDR platforms), • Assist with access control, MFA, and device compliance policies, • Participate in audits, remediation, and security hardening initiatives Required Qualifications • 3–5+ years of experience in desktop support / end-user computing, • Strong experience with:, • Windows 10/11 administration, • Microsoft 365 (Outlook, Teams, OneDrive, SharePoint), • Active Directory (users, groups, GPOs), • Hands-on experience with:, • Microsoft Intune / Endpoint Manager, • Azure AD (Entra ID) in a hybrid environment, • Solid troubleshooting skills across:, • OS, applications, networking basics, and hardware, • Experience with:, • Azure AD Connect / hybrid identity sync, • Windows Autopilot deployments, • Defender for Endpoint or similar EDR tools, • Exposure to:, • VDI environments (Citrix, VMware Horizon, Azure Virtual Desktop), • Patch management tools (WSUS, Intune Update Rings), • Background in financial services, hedge funds, or high-performance environments

Description We are seeking a results-driven DevOps / DevSecOps Engineer to design, automate, and secure cloud infrastructure across Azure environments. Select how often (in days) to receive an alert: DevOps / DevSecOps Engineer - Azure | IaC | Security | Automation Location: Virtual, US Requisitio

Senior Software Engineer Cooley is seeking a Senior Software Engineer to join the Practice Engineering team. About Cooley: Cooley is a global law firm with an expansive practice and more than 3,000 employees and partners worldwide. We value and celebrate diverse perspectives and strive to create a workplace where every individual can thrive. At the core of Cooley's success is the exceptional talent and unwavering spirit of our people. We embrace individuality while fostering a 'one-firm' culture where collaboration and creativity thrive. Our people are the foundation of our success and the driving force behind everything we do. Hybrid Schedule Philosophy: As part of the Cooley culture, we recognize and appreciate the value of being together, in person, to build comradery with others in the office and to be a contributing member of the Cooley office. However, we also appreciate the benefits and flexibility that come from remote working. As such, the default assumption for employees and partners is a hybrid schedule: some in-office presence and some work from home days absent certain essential in-office roles that require five (5) days/week in-office. Position summary: As a leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence and all members of the department are expected to move this agenda forward. To that end, under the supervision of the Senior Manager of Software Engineering and working in conjunction with a development team, the Senior Software Engineer will create user information solutions by developing, implementing, and maintaining internet/intranet applications, leading a team of developers. Specific duties include, but are not limited to, the following: Position responsibilities: • Determine design methodologies and tool sets; compile programming using languages and software projects including designing and conducting tests, • Design and develop user interfaces to internet/intranet applications by setting expectations and features priorities throughout development life cycle, • Integrate applications by designing database architecture and server scripting in addition to studying and establishing connectivity with network systems, search engines, and information servers, • Define site objectives by analyzing user requirements; envisioning system features and functionality, • Support and develop application developers by providing advice, coaching and educational opportunities, • Assist with Q&A and user acceptance testing to ensure applications can be used easily, quickly and accurately, • Consult manuals, periodicals and technical reports to learn new ways to develop programs and maintain existing skills and knowledge, • Serve as a member of on-call rotation team in support of production applications, Web services, and workflow process, • 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, • 5+ years of modern web development experience, with a proven ability to work independently and delivery high-quality solutions across the full SDLC, • Extensive experience with SQL Server, including database design, table creation, stored procedures, functions, and query optimization, • Expertise in building RESTful APIs and microservices using ASP.NET Core, .NET 6+, and C#, with a strong focus on scalability, performance, and security, • Proficient with Visual Studio 2019+/VS Code, • Strong experience with modern front-end frameworks, including Angular (v12+), TypeScript, JavaScript (ES6+), HTML5, and CSS3/SASS, • Committed to maintaining high code quality by implementing unit and integration tests, • Hands-on experience with both AWS and Azure, including services such as App Services, Lambda, API Gateway, Azure Functions, Key Vault, • Experience integrating AI-powered solutions using Azure Cognitive Services, OpenAI on Azure, AWS SageMaker, • Bachelor's degree, • Law firm or other professional services organization experience Competencies: • Exceptional customer service skills, • Excellent analytical, problem-solving and project management skills, • Ability to balance best practices with business objectives, • Proven track record of excellent decision-making, integrity and working with IS management, business users and staff, • Excellent oral and written communication skills, including technical and user documentation, • Strong organizational skills and detail oriented, • Ability to work independently and under high pressure with tight schedules and deadlines, • Ability to interact well with all levels of staff, • Excellent active listening skills, • Ambitious and motivated team player, • Capable of grasping new concepts quickly and without prior experience, • Ability to multi-task and work in fast-paced environment, • Ability to interact and coordinate with several teams to achieve objectives, • Ability to solve problems independently and simultaneously, effectively managing multiple tasks, • Professional demeanor 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 - $210,000. 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.

This role involves developing end-to-end data ingestion processes using Azure Data Factory and Databricks, ensuring data governance, quality, and security. A leading financial management service provider is seeking an experienced Azure Data Engineer to design and optimize scalable data pipelines wit

In this role, you will design scalable data engineering pipelines, collaborate with trading analysts, and ensure data security and compliance. Harvey Nash is looking for a Senior Azure Data Engineer in New York.

Job Description WHY WE EXIST Money should move as easily as data. It doesn't today. Technology is finally catching up to the need — customers expect instant, global, programmable money. HIFI exists to fix that. Our mission is to make money programmable by default, and to give developers and businesses the tools to move value at software speed. We're rebuilding the financial plumbing of the internet from the ground up. THE ROLE As a Senior Backend Engineer at HIFI, you'll own critical components of our payments infrastructure — from API design and data modeling to event-driven pipelines and financial-grade reliability. You'll work across the full lifecycle of modern money movement: account creation, fiat and stablecoin settlement, global payouts, and onchain connectivity. This is not a maintenance role. You'll solve hard, novel problems at the edge of what's possible in financial infrastructure, move fast, own your systems end-to-end, and directly shape how billions of dollars flow through the internet. If you touch it, you own it. That's how we work. WHAT YOU'LL BUILD * API Development: Design, implement, and optimize APIs that connect businesses to HIFI’s financial infrastructure platform, with a focus on performance, reliability, and developer experience. * Core Infrastructure: Build and scale backend systems that process transactions, ensure correctness, and provide strong guarantees around scalability, reliability, and fault tolerance. * System Performance: Continuously improve throughput, efficiency, and resilience across distributed services. * Collaboration: Work closely with product, compliance, and business teams to deliver end-to-end solutions. * Ownership: Participate in technical roadmap planning and carry projects from design through production. * User Focus: Engage with customers to understand their needs and translate them into effective solutions. WHAT WE'RE LOOKING FOR * Bachelor’s degree in Computer Science, Engineering, Math, or related STEM field, or equivalent practical experience. * 2+ years of professional software development experience. * Proficiency in one or more programming languages (JavaScript/TypeScript with Node.js, Go, Python, etc.). * Experience working with RESTful APIs. * Experience with PostgreSQL or other relational databases. * Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes). * Working knowledge of version control (Git), CI/CD pipelines, testing, and monitoring/observability tools. * Strong communication and collaboration skills with both technical and non-technical teams. NICE TO HAVE * Knowledge of query optimization and database performance tuning. * Familiarity with concurrency control, distributed systems, and database transactions. * Experience working on distributed systems and optimizing them for scalability and performance. * Familiarity with event-driven architectures and messaging patterns (e.g., pub/sub, queues, streaming). * Exposure to job queues, caching services, and data pipelines. * Understanding of security best practices and a commitment to correctness in financial systems. * Experience building and launching a product from zero to one. * Background or interest in financial systems, payments, or blockchain/crypto technologies is a plus. THE HIFI CODE This is how we operate. Not aspirational — actual. Ownership If you touch it, you own it. Speed We bias toward motion. Clarity Confusion is a signal to act. Standards Quality matters always. Truth We value directness without drama. COMPENSATION & BENEFITS The expected salary range for this role is $135,000 - $160,000 USD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. We offer full health coverage (medical, dental and vision) and unlimited PTO. We're changing how modern business moves value. If that sounds like the problem you want to spend the next chapter of your career on, we'd love to meet you. EQUAL OPPORTUNITY STATEMENT HIFI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. We also provide reasonable accommodations during the hiring process. By submitting your application, you acknowledge that HiFi will process your personal information in accordance with our Applicant Privacy Policy. Compensation Range: $135K - $160K

Job DescriptionAbout Us:Versana is an industry-backed fintech on a mission to make the syndicated loan market better. 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 platform, participants can rest assured they are accessing the loan market’s most credible source of deal information. About You:Versana is looking for a Security Engineer to join our InfoSec squad. You will play an essential role in safeguarding our organization's information systems and data from potential threats and vulnerabilities. You will work collaboratively with senior engineers and cross-functional teams to enhance our security posture using cutting-edge technologies.Key Responsibilities: • Perform and validate application & API security testing (OWASP & API Top 10, business logic abuse, auth/authorization flaws, data exposure)., • Assist with vulnerability lifecycle management by gathering and normalizing findings (scanners, manual assessments, etc.), validating impact, setting priority, and assigning remediation tickets., • Integrate and maintain security tooling in CI/CD (SAST, SCA, DAST, SBOM, container and secrets scanning) and collaborate with developers to tune signal vs noise., • Assist with configuration and lifecycle management of AppSec tooling (e.g., CNAPP, WAF, secret management), • Contribute to threat modeling & secure design reviews (data flows, trust boundaries, abuse cases, cloud IAM, entitlement surfaces), • Partner with engineering, DevOps, product, and QA to embed secure patterns early (“shift left”) and provide code-level remediation guidance., • Automate repetitive security tasks and reporting where possible (scripts, pipeline jobs, policy-as-code), • Participate in incident response activities, including containment, eradication, and recovery efforts., • Support the implementation of security policies, procedures, and standards., • Stay up-to-date with the latest security trends, threats, and technology advancements.Must Haves:, • +5 years combined experience in software development and/or application security engineering., • Ability to read and develop secure code in at least one of: Python, Java, JavaScript/TypeScript, Go, or C#., • Understanding of Application Security principles and web application vulnerabilities such as OWASP Top 10, their risk and remediations, • Basic understanding of cloud computing principles and services (e.g., AWS, Azure, Google Cloud)., • Exposure to security tools such as vulnerability scanners., • Strong communication and teamwork skills., • Detail-oriented with a proactive approach to identifying and mitigating security risks.Nice to Haves:, • Pentest experience, • CompTIA Security+, CEH, GWAPT, OSCP or similar certifications., • Infrastructure-as-Code knowledge such as Terraform.

Job DescriptionOur client, a highly respected A-rated insurance carrier, is seeking a seasoned Senior Software Engineer (.NET / Azure) to join their growing IT department. This is a unique opportunity to play a key role in driving cutting-edge digital transformation initiatives within a leading organization in the Property & Casualty Insurance industry. The ideal candidate will bring deep technical expertise, innovative problem-solving skills, and the ability to collaborate effectively across teams. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Design, develop, and deploy enterprise-level applications using Microsoft development tools and frameworks., • Participate in full lifecycle development efforts, ensuring scalability, performance, and security best practices are followed throughout., • Leverage Microsoft Power Platform tools to streamline and optimize business processes., • Collaborate closely with business stakeholders, IT leadership, and cross-functional teams to align software solutions with organizational goals., • Contribute to architectural decisions, conduct code reviews, and provide technical guidance to peers., • Research and evaluate emerging technologies, recommending strategic solutions that advance the company’s digital initiatives., • Maintain high standards of software quality, reliability, and maintainability through consistent best practices and documentation.Qualifications/Requirements:, • 5- 10+ years of practical, hands-on development experience with C#, .NET, and Azure., • Hands-on experience designing and delivering cloud-based solutions within the Microsoft Azure ecosystem, including services such as App Services, Functions, Azure DevOps, Azure SQL, and other platform or infrastructure offerings., • Current Microsoft Azure certification is a plus., • Strong development background using C# and SQL, with practical experience working in SQL Server environments and management tools., • Advanced, in-depth expertise with Microsoft Power Platform tools, including Power Apps, Power Automate, and Dataverse. Background working with applications in the property and casualty insurance sector highly preferred., • Demonstrated success building scalable back-end services, including the design and implementation of RESTful APIs and layered API architectures (process- and experience-level APIs)., • Bachelor’s degree in Computer Science, Software Engineering, Information Science, or a related technical field from an accredited U.S. institution.Salary/Benefits:, • $175,000 - $200,000+ annual base salary plus 10-20% bonus, • Ability to work remotely, • Extremely competitive Medical, Dental, Vision, and Life plans, • Employer-matching 401(k) plan, • Lucrative PTO plan, • Succession Planning and tremendous Advancement Potential

Job DescriptionFounding Engineer Location: New York, NY On-site | Full-time Compensation: $150K - $350K Our client is a high-growth, venture-backed startup on a mission to reinvent technical interviewing and transform the global $600B+ staffing industry. By moving beyond traditional "LeetCode" style evaluations, our client has developed a fundamentally better way for companies to identify talent, combat fraud, and market top-tier candidates to Fortune 500 organizations. The organization is currently at an ideal inflection point: they have moved past product-market fit and are entering a rapid scaling phase. Backed by a $3.1M seed round from premier investors—including GSV Ventures, BoxGroup, and angels from OpenAI, SpaceX, and Retool—the company has already surpassed seven figures in revenue. Their customer base includes dozens of enterprise staffing firms, including the largest staffing firm in the world. Our client is seeking a Founding Engineer to join a talent-dense team of seven hailing from institutions and companies such as Stanford, Penn, Waterloo, Retool, and MongoDB. This is a high-impact role for a builder who wants to own critical systems and define the technical standards for an entire industry. Key Responsibilities • Innovation in Evaluation: Define and build the new standard for technical interviewing, creating systems that retire outdated evaluation methods and provide high-fidelity talent assessments., • AI Implementation: Utilize AI and machine learning to detect fraud, identify complex patterns in candidate performance, and significantly accelerate the hiring lifecycle., • System Architecture: Design, develop, and maintain critical full-stack systems from the ground up, ensuring high performance and scalability., • End-to-End Ownership: Manage features and systems through the entire lifecycle—from initial concept and architectural design to deployment and monitoring., • Technical Proficiency: 4+ years of experience in modern full-stack development. Advanced proficiency in React, Node.js, and Python (or similar frameworks) is expected., • Infrastructure Knowledge: Experience managing cloud-native infrastructure within AWS, GCP, or Azure., • Startup Mindset: Demonstrated ability to thrive in a fast-moving, high-performance startup environment where ambiguity is common., • Coding Fundamentals: Highly technical with a strong bias toward code quality, security, and performance., • Founding Mentality: A desire to solve problems end-to-end and a willingness to take radical ownership over outcomes rather than just tickets., • Location: Ability to work on-site five days a week in the New York City office to foster high-bandwidth collaboration., • Build the Future: Join at the ground floor and play a pivotal role in shaping both the product and the company culture while solving complex, industry-wide problems., • Competitive Pay & Equity: Competitive compensation packages including significant equity ownership to ensure early hires benefit from the company's growth., • Comprehensive Health Insurance: Health insurance coverage provided for both the employee and their dependents., • Financial Wellness: A 401(k) plan is provided to help the team invest in their long-term financial future., • Onsite Benefits: Work from a Midtown Manhattan office with daily team lunches, dinners, and a fully stocked selection of snacks and beverages., • Quarterly Offsites: Opportunities to travel together every quarter to bond, brainstorm, and recharge as a team., • Early Impact: Join at a critical inflection point—past product-market fit, but before scaling takes over. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . 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Job DescriptionSalary: $80,000 $90,000 Field Engineer Level 2 FLSA Classification: Exempt Computer Professional Reports To: Pod Lead Position Summary The Level 2 Field Engineer is a client-facing technical professional responsible for advanced troubleshooting, systems administration, and onsite technology solution delivery within Chelsea Techs Managed Services (MSP) pod structure. This role serves as an escalation point for complex technical issues and acts as the primary onsite technical presence for assigned clients. The position requires independent judgment, strong analytical capability, and the ability to manage multiple client environments. The Engineer is expected to exercise discretion in diagnosing, resolving, and preventing technical issues while maintaining high standards of client service and documentation. Essential Duties and Responsibilities • Serve as escalation point for complex Level 2 technical issues across multiple client environments., • Diagnose and resolve advanced hardware, software, networking, and endpoint issues., • Configure and support Microsoft 365, Azure, Azure Virtual Desktop, and endpoint management systems., • Perform systems troubleshooting including DNS, DHCP, LAN/WAN, wireless, and remote access environments., • Deploy, configure, and manage laptops, desktops, and peripheral devices., • Maintain accurate technical documentation, SOPs, and ticketing records in accordance with SLA standards., • Collaborate within pod structure to ensure client satisfaction and service continuity., • Windows 10/11 and macOS administration, • Microsoft 365 (E3/E5), Office 365, Azure, Azure Virtual Desktop, • Microsoft Intune and Mobile Device Management (MDM), • Jamf device management, • DNS, DHCP, and general networking troubleshooting (LAN/WAN/Wireless), • Remote Desktop Services, • Network printers, scanners, and workstation peripherals, • Video conferencing platforms (Teams, Zoom) and A/V systems, • ConnectWise, HaloITSM, and IT Glue (preferred), • Endpoint deployment and lifecycle management, • Asset inventory tracking and documentation, • 35+ years of progressive Service Desk or MSP experience, including escalation-level support., • Strong knowledge of Microsoft 365, Azure, networking, and endpoint management tools., • Demonstrated ability to exercise independent technical judgment. This role may require onsite client visits and the ability to lift equipment up to 25 pounds. Prolonged computer use and the ability to sit or stand for extended periods are required. Compensation The base salary range for this position is $80,000 $90,000 annually. Final compensation will be determined based on experience, skills, and internal equity. Employment Statement Chelsea Tech is an at-will employer. This job description is intended to describe the general nature and level of work being performed and is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Chelsea Tech is an equal opportunity employer and complies with all applicable federal, state, and local employment laws.

Job Description Full Stack Cloud Engineer (AI Security Platform) Remote [within the US]- strong preference for Eastern Time Zone hours ABOUT THE ROLE: In your first 6–12 months, you'll help us: • Ship end-to-end platform features (UI → API → cloud services) that customers rely on daily., • Improve performance and reliability of low-latency, distributed services running in Kubernetes., • Increase deployment confidence and velocity through strong automated test coverage and CI/CD. HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely. Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up. WHAT YOU'LL DO: • Design and implement microservices in Go and/or Python, with clear API contracts and interoperability., • Build and operate cloud-native services on AWS or Azure, deployed as containerized workloads on Kubernetes., • Build and evolve customer-facing product experiences using TypeScript + React., • Own performance: profile, troubleshoot, and optimize p95/p99 latency, throughput, and resource efficiency., • Strengthen delivery: maintain test strategies (unit/integration/e2e) that enable continuous deployment., • Improve operational excellence: logging/metrics/tracing, alerting, on-call readiness, runbooks, and incident follow-ups., • Partner closely with Product, Security, and Engineering peers, communicate early, document decisions, and seek alignment., • Strong full-stack experience shipping and operating production software., • Proficiency with Go and/or Python (service development in production)., • Proficiency with TypeScript + React., • Hands-on experience with AWS or Azure., • Strong experience with Kubernetes + Docker / containers., • Experience designing or working in microservices / distributed systems, ideally with low-latency requirements., • Experience in Agile delivery environments (iterative planning, continuous improvement)., • Track record of building automated test coverage that supports safe continuous deployment., • Strong communication skills; you proactively align stakeholders and surface tradeoffs., • Exposure to ML/AI concepts or building adjacent to ML workflows., • Experience building security products, cloud security tooling, or security ecosystem integrations., • Familiarity with observability (OpenTelemetry, metrics/logs/traces) and defining SLOs/SLIs., • Experience with API gateways, service mesh, event-driven systems, or contract testing. We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures. Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including: • Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses., • Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person's needs. We also offer vision, dental, and 401k offerings., • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays., • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events. HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.

Job Description Neota is a revolutionary no-code automation platform empowering insurance, compliance and legal professionals to build and deploy workflow automation solutions without writing a single line of code. Our platform is trusted by top corporations, law firms and educational institutions worldwide. The DevOps Engineer is responsible for maintaining secure, high-performing cloud infrastructure across AWS and Microsoft Azure, including managing and patching Linux servers. The role focuses on optimising system reliability and performance, supporting development teams with production troubleshooting, and maintaining in-house deployment tools built with Django. It also involves managing backups, databases, and source control systems like Git, while ensuring strong security practices and clear documentation of architecture and networks. The position Requirements Responsibilities • Managing and maintaining the Amazon Web Services (AWS) and Microsoft Azure, • infrastructure supporting Neota Logic and its customers., • Managing, updating and patching our fleet of Linux application servers., • Tuning our cloud-based delivery systems to achieve excellent availability, responsiveness and performance., • Supporting software development in troubleshooting production problems., • Maintaining, updating and extending our in-house developed Django-based, • build/deployment/infrastructure management tool., • Ensuring that our networks and applications are secure., • Managing backups, databases and SCM (like git)., • Helping to document architecture, networking and security - both internally and externally., • Ability to work 4 hours one weekend per month Qualifications Required Skills: AWS (EC2/RDS), Azure, Scripting (Bash, Python), Network Management, RDBMS/SQL Administration, Linux, Security. Microsoft 365 Google workspace administration will be considered a plus. Education: BSCS (MSCS preferred) Professional Experience: 3+ years • 2+ years of Linux Systems Administration experience. You must be comfortable and proficient working from the UNIX command line, • 2+ years of professional experience administering public cloud systems, in particular AWS, • (EC2, RDS, Guard Duty, WAR etc.) and Azure, • Demonstrated proficiency in Python, • Hands-on experience administering SQL relational databases (PostgreSQL preferred), • The ability to come up to speed quickly and thrive in an environment rich in complexity, • Excellent communication skills, with the ability to present ideas and solutions in a clear and organized manner, • The ability to work independently and achieve established goals with minimal supervision, • Strong attention to detail, but with a solid grasp of the bigger picture, • A security-first mindset We value our employees’ time and efforts. We work to maintain the best possible environment for our employees, with flexible working conditions and an encouraging environment where people can learn and grow with the company. We strive to provide a collaborative, creative environment where each person feels encouraged to contribute to our processes, decisions, planning and culture.