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Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines 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. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply! You will: • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Work closely with our customer's engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas, • Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success, • Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer, • Be accountable for the customer's technical experience throughout their time with Scale, • Work with AEs and PMs to identify customer-specific feature requests, • Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations, • Evangelize Scale and interact with customers at major events, • Have an active TS/SCI clearance Ideally you'd have: • Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way, • Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals, • Prior experience developing with Python and JavaScript, or other modern software languages, • Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields, • Strong project management and interpersonal skills, • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers, • High level of comfort communicating effectively across internal and external organizations, • Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: • Experience in AI, • Experience working in classified environments, • Previous experience as a technical go-to-market resource, • Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment, • Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment, • Experience automating infrastructure and configuration management using Ansible or similar tools 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:$190,000—$290,000 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$170,000—$260,000 USDThe base salary range for this full-time position in the location of St. Louis is:$140,000—$220,000 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 ___. 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.

Forward Deployed Engineer (AI / Healthcare) Location: New York, NY (Hybrid) Compensation: $150,000 – $190,000 base + variable + equity Type: Full-time About the Role We’re hiring a Forward Deployed Engineer to sit at the intersection of AI, product, and real-world healthcare delivery. This is a high-impact, customer-facing engineering role where you’ll deploy AI-powered solutions into complex healthcare environments, build custom integrations, and directly influence product direction. You won’t just ship code—you’ll own outcomes. If you’re someone who thrives in fast-moving environments, enjoys working directly with customers, and is deeply hands-on with modern AI tools, this is the kind of role where you can accelerate quickly. What You’ll Do • Partner directly with enterprise healthcare clients to deploy AI-driven solutions and ensure successful adoption, • Build and ship custom code (approx. 70% hands-on engineering) to support unique customer implementations, • Design and implement integrations, workflows, and AI agents (including voice or automation tools), • Act as the technical bridge between customers and internal product/engineering teams, • Translate real-world usage into product feedback and help shape the roadmap, • Support project coordination, timelines, and stakeholder communication, • Travel occasionally (1–2 weeks per quarter) for on-site implementations What We’re Looking For • 1–5 years of experience in a hands-on engineering or technical implementation role, • Strong experience working with modern AI tools (LLMs, agents, automation platforms, etc.), • Proven ability to build and deploy real-world AI-powered solutions (bonus for voice agents or similar systems), • Experience in customer-facing technical roles (solutions engineering, forward deployed, implementation, etc.), • Healthcare implementation experience strongly preferred (or other regulated industries like fintech/legaltech), • Strong communication skills—you can translate technical concepts to non-technical stakeholders, • High ownership mindset; comfortable operating in ambiguous, fast-paced environments Nice to Have • Startup or early-stage experience (founder or founding engineer mindset is a plus), • Experience working across distributed or global teams, • Background deploying software into complex operational environments What Makes This Role Different • Direct exposure to real-world AI deployment—not just internal tooling, • High autonomy and ownership from day one, • Tight feedback loop between customer usage and product development, • Opportunity to shape how AI is applied in healthcare at scale Additional Details • Hybrid role based in New York City (in-office presence expected most days) Interview Process • Intro conversation with leadership, • Technical exercise, • Panel interview, • Final interview (in-person for NYC-based candidates)

The Senior Engineer in Production Management, will be responsible for the development and overall implementation of software in a complex, critical and large cross-departmental and multi-disciplinary area. The role is part of a multi-year transformation journey that will require a successful candidate to establish best practices, motivate and promote a cultural shift that will ensure a successful adoption of Engineering Principles and Practices within Production Management. The role requires a comprehensive understanding of multiple areas within a function and how they interact to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Accountable for delivery of a full range of end-to-end projects. Excellent communication skills required to negotiate internally. Involved in short- to medium-term planning of actions and resources for own area. Comapensation level for NYC is 140000-160000 USD Gross based on the interview results. Responsibilities: • Demonstrates an in-depth understanding of Software Development Lifecycle and how it integrates within the overall technology landscape to deliver scalable, reliable and resilient applications., • Ability to operate in a global environment with on-/near-/off-shore matrix reporting structures., • Operates into a highly regulated environment that requires in-depth understanding of the regulatory requirements and the industry implications for our technologies., • Improve the service level the team provides to our end users, which includes maximizing operational efficiencies, strengthening incident management, problem management and knowledge sharing practices., • Drives Continuous Delivery and Automation efforts across the supported applications by means of Root Cause Analysis reviews, Knowledge management, Performance tuning, and user training., • Fosters a culture that promotes transparency and innovation for increased team productivity., • Coaching members of the team and outside the immediate reporting line about the best practices and recognises anti-patterns that are quickly addressed., • Implements the Agile Framework through one of its implementations like SCRUM or Kanban and ensures it integrates with overall organisation processes., • Avidly communicates progress and project status across the organisation and ensures that stakeholders are managed appropriately throughout the execution period. Mandatory Skills Description: • 6+ years of hands‑on Java development, • Experience with React, • Kubernetes and Containerisation knowledge, • Relevant experience in a critical software development role with high business impact, ability to understand how software delivers business value, • Excellent engineering skills and senior architecture, • Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.), • Polyglot full-stack developer mentality and ability to pick up new languages and skills, • Excellent understanding of Software Engineering concepts like Software Development Life Cycle and GitOps, • Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application and database stacks, • Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh, like Istio, is highly desirable, • Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, Cloud Formation, etc.) is a highly desirable, • Experience of delivering software using Agile delivery methodologies is a must (SCRUM/Kanban), • Operational experience of using middleware technologies (MQ, Apache Kafka, etc.) to run services at scale is desirable, • Strong experience with end-to-end observability stacks (Datadog, AppDynamics, Dynatrace, etc.) is desirable, • Degree in computer science/mathematics/physics or related technical subject is desirable, • Experience of senior stakeholder management, • Consistently demonstrates clear and concise written and verbal communication skills. Nice-to-Have Skills Description: • Capital Markets experience

Job Title: Security Engineer Duration: 6 months Location: Hybrid (Newark, NJ) Responsibilities • Configure and build applications ensuring that the solution follows latest practices and industry standards for SSPM using modern design patterns and architectural principles; remove technical impediments, • Be responsible for administration of the platform (User/Role management, security configuration, integrations, etc), • Onboard and maintain out of the box integrations to other SaaS tools, • Develop and maintain custom integrations using the AppOmni developer platform (python based) which run in our container environment, • Leverage the AppOmni API to automate functionality, • Partner with stakeholders across the Information Security Office on AppOmni capabilities and support, • Develop high quality, well documented and efficient code adhering to all applicable Prudential standards?that stay aligned with platform vendor roadmap and direction, • Design the business logic and integration patterns with Prudential Ecosystem, using modern integration, data, and security patterns, • Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems??, • Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day??, • Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables. The Skills & Expertise You Bring • Bachelor of Computer Science or Engineering or experience in related fields, • Previous technical experience working with SaaS platforms (development/administration), • Experience working with/implementing security controls offered by SaaS tools, • Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization??, • Experience with agile development methodologies and Test-Driven Development (TDD), • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business, • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges, • Excellent problem solving, communication and collaboration skills Preferred qualifications: o A strong security focused mindset with relevant experience o A strong understanding of CI/CD principles and running jobs in AWS (Ex. Containers) o Collaboration skills to work with business partners and agile teams o Knowledge of GitHub, DevOps automation tools & practices o Experience with agile development methodologies and Test Driven Development (TDD) o Testing tools such as SOAPUI, Postman, Selenium o Financial/Insurance industry experience is a plus, not a must

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 Location: Remote Position Summary: OurScalability team as a Senior Scalability Engineer focused on observability platform development and engineering productivity.In this role, you will define, own, and build Judi Health's organization-wide observability strategy, tooling, and platform products. Beyondmaintaininginfrastructure,you'llarchitect and develop a custom observability platform that gives engineering teams powerful, fast, and cost-effective visibility into every layer of our infrastructure-from application logs and metrics to distributed traces.You'llbuild production-grade internal products using React/TypeScript frontends with Python and Rust backends, creating tools that fundamentally improve how engineers at Judi Health debug, monitor, andoptimizetheir systems. Working closely with leadership and cross-functional teams, your work will be foundational to platform stability, performance optimization, and developer productivity across our rapidly growing healthcare platform. Position Responsibilities: In this role,you'llown the observability infrastructure that powers our engineering organization. You will: • Architect observability platform: Design, implement, andmaintainthe LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus) as the primary observability platform across all engineering teams, making architectural decisions that balance cost, performance, and developer experience., • Build internal observability products: Design and develop production-grade internal platform products with React/TypeScript frontends and Python/Rust backends that provide engineers with powerful log search, metrics visualization, and trace analysis capabilities., • Develop custom log indexing systems: Architect and build high-performance log indexing solutions using Rust that process logs and provide sub-second search across billions of log lines at a fraction of the cost., • Integrate SQL analytics for logs: Design and implement solutions leveraging AWS Athena or similar SQL query engines (DuckDB, ClickHouse) for ad-hoc log analysis and historical queries, enabling engineers to run complex SQL queries over S3-based log data for deep investigations and trend analysis., • Create advanced query interfaces: Build sophisticated web interfaces that allow engineers to query logs, metrics, and traces with features like saved queries, query templates, correlation analysis, and pattern detection, supporting both full-text search and SQL-based analytics., • Balance cloud-native and open-source: Architect solutions that thoughtfullyleverageboth AWS-managed services (CloudWatch, Athena, Kinesis) and open-source tooling (LGTM stack,Quickwit) tooptimizefor cost, performance, and operational flexibility based on use case requirements., • Integrate AWS observability: Design seamless integration between AWS CloudWatch Logs/Metrics and our custom observability platform, providing unified visibility across managed and self-hosted infrastructure., • Build intelligent alerting: Develop smart dashboards, monitors, and alerting systems that reduce noise, detect anomalies, and help teams respond to incidents quickly., • Partner with engineering teams: Work directly with product teams to integrate observability into their services,establishlogging and metrics standards, and instrument code effectively, serving as the observability subject matter expert., • Enable performance optimization: Provide the observability foundation that allows the Scalability team toidentifyperformance bottlenecks, track optimization impact, and measure platform stability with data-driven insights., • Establish observability standards: Define and document comprehensive observability standards including structured logging patterns, metric naming conventions, trace instrumentation, dashboard design principles, and query best practices., • Drive platform adoption: Lead workshops, create documentation, and build self-service tooling that democratizes observability across engineering, making it easy for teams to adopt best practices., • Demonstrate technical leadership: Mentor engineers on observability practices, lead architecture reviews for instrumentation approaches, and represent the Scalability team in cross-functional planning., • Work in an Agile/Scrum environment to continually deliver value to stakeholders and clients., • 10+ years of software engineering or infrastructure engineering experience withdemonstratedprogression into technical leadership roles., • Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure., • Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services., • LGTM stackexpertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale., • AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns., • SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena,DuckDB, or similar query engines for analyzing structured and semi-structured data at scale., • Cloud-native and open-source balance:Demonstratedability to architect solutionsleveragingboth managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in., • Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines., • Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics)., • Systems thinking: Deep understanding of distributed systems,microservicesarchitectures, and the complex observability challenges they present., • Data at scale: Proventrack recordhandling high-volume structured and unstructured logging data,identifyingpatterns, and building efficient search/query solutions that perform well under load., • Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go., • Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources., • Additionalobservability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms., • Advanced query languages: DeepexpertisewithPromQL,LogQL, SQL optimization, and query optimization for high-cardinality data., • Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3., • Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements., • Cost optimization: Track record of reducing observability costs whilemaintainingor improving capabilities (e.g., CloudWatch S3/custom indexing migration)., • Data pipelines:Experience withstreaming data pipelines, ETL processes, or real-time data processing., • Distributed tracing: Deep knowledge ofOpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures., • Gitexpertiseand experience working in a mono repository., • PreviousPharmacy Benefits Manager (PBM) or healthcare technology experience. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Salary Range$160,000—$220,000 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___.

Are you ready to join Connecticut Innovation’s vibrant community of innovators? Connecticut Innovations (“CI”) is Connecticut’s strategic venture capital arm, and we are passionate about serving our portfolio of 220+ companies across various industries, with strengths in life sciences, technology, and climate tech. Come join ___, a Connecticut Innovations portfolio company! ABOUT JONA Every aspect of our health has been shown to be affected by the gut microbiome. However, the complexity of the gut microbiome and the complexity of microbiome science requires advanced AI technology to truly analyze and harness personal gut microbiome data for health. At Jona, we envision a world where microbiome testing is more common than bloodwork. Our mission is to create that world by using AI to reveal the relationship between the microbiome and health to guide individuals, clinicians and innovators toward discovery and action. ABOUT THE ROLE We’re looking for a Senior Software Engineer to join our growing team and play a key role in building reliable, performant, and scalable systems across our product. You’ll work across the stack—from TypeScript APIs to modern React frontends—helping define architecture, improve developer experience, and drive code quality across the team. In this role, you’ll be expected to work closely with product, design, and fellow engineers to deliver user-facing features, refine our internal APIs, and evolve our platform architecture as we scale. You will see projects through from conception to production and everything in between. This is a remote role with the opportunity for monthly meetups with the team in New York City. ROLE OUTLINE Drive Technical Decisions • Propose, architect, and implement projects from the ground up., • Design, implement, and maintain scalable systems and APIs., • Work directly with other engineers, designers, and product management to efficiently deliver high-quality features for both external and internal audiences., • Build, test, and deploy new features across frontend and backend systems., • Don’t simply write code, own it all the way to production., • Continually improve our software delivery process., • Stay current with emerging technologies and frameworks, evaluating their fit for the organization., • Propose and lead initiatives that improve developer experience, CI/CD pipelines, and internal tooling., • Identify and resolve performance bottlenecks across frontend and backend services. WHAT YOU’LL BRING • 5+ years of professional experience building modern TypeScript web applications, • Deep understanding of React and Node.js, • Experience designing and integrating with RESTful and RPC-style APIs, • Strong knowledge of SQL (PostgreSQL preferred) and data modeling best practices, • Understand relational and non-relational databases, • Familiarity with modern CI/CD pipelines (GitHub Actions preferred), • Experience building and deploying production workloads on AWS, • Experience improving codebases through testing, observability, and refactoring, • Strong communication and collaboration skills, with a product-minded approach, • An understanding of security issues and responsibilities NICE TO HAVES • Experience working in a regulated environment (HIPAA), • Experience with any of the following:, • Next.js, Nest.js, Effect, Drizzle, Pulumi WHY JOIN JONA • Make a Mark: Help define customer success at a mission-driven, science-backed startup., • Grow with Us: Build relationships with leading physicians and health-conscious consumers., • Competitive Compensation: Includes salary and meaningful equity., • Full Benefits: Medical, dental, vision and more. Connecticut Innovations and its portfolio companies are equal opportunity employers. All employment decisions are based on qualifications, merit, and business needs, without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or age.

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

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. 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___.

What success looks like in this role: Key Responsibilities • Define and own the target-state AWS infrastructure architecture and operational standards for production environments, ensuring scalability, resilience, security, and alignment to business objectives., • Act as the technical authority for Linux and Windows OS engineering on AWS, driving platform stability through proactive improvements, advanced troubleshooting, and performance tuning across complex environments., • Establish enterprise-grade Infrastructure as Code (IaC) frameworks, reusable patterns, and governance using Terraform and/or CloudFormation; review and approve infrastructure changes for quality and risk., • Lead security architecture and compliance implementation across IAM strategy, network segmentation, encryption/KMS, centralized logging/auditing, and continuous control validation in partnership with security and risk teams., • Drive performance engineering and cost optimization strategy across AWS workloads, including right-sizing, scaling design, storage optimization, lifecycle policies, and standard optimization playbooks., • Own DR/BCP architecture and readiness, including RTO/RPO definition support, recovery designs, runbooks, testing cadence, and continuous improvements based on lessons learned., • Enable mature CI/CD and deployment practices by integrating infrastructure and platform controls with pipelines (CodePipeline/CodeDeploy and/or Jenkins/GitLab), including guardrails, policy-as-code, and release governance., • Lead major incident and problem management for cloud infrastructure, providing deep technical leadership during outages, ensuring high-quality RCAs, and driving corrective/preventive actions and reliability improvements., • Provide technical leadership across teams: mentor L1-L3 engineers, conduct design reviews, contribute to hiring/upskilling, and promote best practices and standardization., • Maintain high-quality documentation and reference architectures, including standards, blueprints, operational procedures, and knowledge base articles. Skills (Must-haves) • 8+ years of infrastructure engineering/operations experience, with 5+ years delivering and operating AWS production environments at scale., • Expert-level understanding of AWS services and architecture patterns, including EC2, EBS, S3, VPC, IAM, CloudWatch, CloudTrail, load balancing, and scaling strategies., • Deep Linux and Windows engineering expertise in cloud environments (hardening standards, patching strategy, automation, performance tuning, troubleshooting at scale)., • Expert-level IaC capability using Terraform and/or CloudFormation, including reusable frameworks, module design, version control, CI validation, and drift/compliance management., • Advanced AWS networking design expertise: VPC architecture, routing, segmentation, NACL/security posture, VPN/Direct Connect, DNS fundamentals, and traffic management patterns., • Security engineering depth: IAM design patterns, KMS/encryption strategy, audit logging, secure baselines, threat detection integration, and compliance control implementation., • Strong observability and reliability engineering skills: monitoring strategy, alert design, log/metric correlation, SLO/SLA awareness, and operational readiness practices., • Advanced automation/scripting proficiency (Python/Bash/PowerShell), with ability to build operational tooling and integrate automation into pipelines and runbooks., • Ability to influence and communicate effectively with senior stakeholders, including translating complex technical risk/decisions into clear options and recommendations. You will be successful in this role if you have: Qualifications • Bachelor's degree in Computer Science / IT / Engineering (or equivalent practical experience)., • AWS Professional-level certification required: AWS Certified Solutions Architect - Professional and/or AWS Certified DevOps Engineer - Professional (or equivalent expertise) Good to Have / Desirable Skills • Enterprise AWS connectivity and multi-account design: Transit Gateway, Direct Connect, VPC endpoints/PrivateLink, landing zones, cross-account IAM and governance., • Strong AWS Systems Manager expertise (Automation, Patch Manager, Session Manager, Run Command, Inventory, Parameter Store) and standard runbook automation., • Security services experience: GuardDuty, Security Hub, AWS Config, AWS Shield; familiarity with vulnerability management and compliance reporting., • Experience operating regulated environments and implementing policy-as-code / guardrails at scale., • Experience with AWS-managed databases (RDS/Aurora/DynamoDB) including availability, monitoring, backups, and performance troubleshooting., • Strong CI/CD and GitOps maturity, including pipeline guardrails, change governance, and promotion strategies across environments., • FinOps maturity exposure: chargeback/showback inputs, cost governance, savings tracking, and continuous optimization operating model. Unisys offers an outstanding benefits package, featuring unlimited paid time off, a 401(k) plan, comprehensive healthcare, HSA matching, ongoing learning opportunities, and more! We're committed to supporting work-life balance and investing in your future success. At Unisys, we incorporate video interviews as a key part of our hiring process. This allows us to get to know you better and provide a more engaging and convenient interview experience. We appreciate your understanding and look forward to connecting with you virtually! #LI-AC1 This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government. Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys' ___.

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 ___. 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.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will redefine how engineers develop, build, test, and deploy software at Scale using AI development tools in addition to traditional practices. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: • Define next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions., • Drive the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements., • Directly mentor software engineers ranging from new grads to experienced engineers., • Proactively identify opportunities and drive improvements to software development practices, processes, tools, and languages., • 8+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems., • Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others., • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)., • Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems., • Show a track record of independent ownership of successful engineering projects., • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc., • Experience with modern web frameworks like NodeJS, NextJS, etc., • Experience scaling products at hyper-growth startups. 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 ___. 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 Relativity is aprivate equity-backed, legal data intelligence Software as a Service leadertrusted by legal teams, governments, and enterprises around the world. Our platform powers investigations, litigation, and compliance for some of the most complex data challenges. By combining advanced AI, powerful analytics, and cloud-based technology, we help teams make sense of massive volumes of information and move critical work forward faster and more accurately. With a culture that values curiosity, collaboration, and continuous learning, this is your chance to join a company that combines thestability of an established leaderwith theenergy of a startup. Job Description and Requirements What We Do At Relativity, engineersdon'tjust write code-they shape how industries uncover critical insights, ensure compliance, advance access to justice and continuously evolve our platform using the latest technologies, including cloud-native architectures, AI capabilities, and modern developer tooling. Our AI powers privacy programs,identifiesconfidential information, and detects languageindicatingmisconduct.We'rereimagining how legal professionals uncover truth at scale, and engineering is at the heart of that transformation. We are looking for a Principal Engineer to help define and build our next generation of cloud-native platform systems.This person willhelp shape our strategy for how we support internal and external customers'integration needs in a cloud-native, multi-tenant environment. Ifyou'repassionate about solving hard problems, designing for scale, and building tools that matter-while working in a culture that values transparency, innovation, and shared success- Relativity offers the opportunity to make a measurable difference in the marketplace. WhatYou'llDo * Deliver critical business value by solving complex problems that span teams and organizations. * Design and build architecture that is flexible, performant, and efficient to the needs of the business. * Prioritize capabilities over features, plan for change and abstract complexity away from dependent teams. * Partner with fellow leaders toidentifyproblems and align on their nature; solve these problems withelegant,scalablesolutions. * Be respected as a technical leader of your domain,demonstratingdeepexpertise,collaboration,andstrong business acumenwhileembodyingengineering excellence. * Set enterprise standards for system flexibility, maintainability, security, testability,andreliability;work with teams to implement them. * Influence and align engineering execution with company-level strategywhile shapingexecutive-level product and platform decisions. * Collaborate daily with a diverse group of teammates and product partners to solve problems & deliver value. Mentor engineers,leaders,and executives. * Be an awesome teammate whodemonstratescuriosity and continuous learningwhileshapingeengineering culture atscale. WhatWe'reLooking For Required * 12+ years of experienceowning,buildingandshaping large-scale, cloud-native platforms. * Experience defining organization-wide technical standards. * Deep involvement in security, compliance, and reliability strategy. * Ability to align technical vision with company-level strategy. * Proven influence at senior and executive levels. * Exceptional mentorship, communication, and strategic thinking skills. Nice to Have * Background in legal tech, AI-enabled platforms, or regulated domains. * External thought leadership or industry contribution. * Familiarity with AI development tools like GitHub Copilot, Cursor or Claude Code. * Experience working in global or highly distributed organizations. WhyWe'reAGreatFit forYou * Impactful Mission:Organize Data, Discover theTruthand Act on It -Our customers include Fortune 500 enterprises and leading law firms managing high-stakes matters on our platform. * Growth Path:Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, accelerating career growth. * Engineering Culture:Continuous delivery, strong observability, and end-to-end ownership. * Inclusive Environment: Diverse backgrounds and perspectives make us stronger. * Community Impact:Volunteer opportunities and company-sponsored charitable programs. * Compensation & Benefits:Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annualcompany breaks,home office stipend, and an equity program. When you join Relativity,you'renot just taking a job-you'recontributing to a mission that matters.You'llwork alongside talented professionals across the globe, tackle complex challenges at scale, and 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: $210,000 and $314,000 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: Agile Methodology, Algorithms, Automation, Distributed Systems, Mentorship, Problem Solving, Software Architectures, Strategic Planning, System Designs, Technical Leadership

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: We are seeking a highly motivated and talented Data Engineer I (Analytics Engineering) to help build and scale Capital Rx's analytics foundation. This role focuses on developing high-quality, analytics-ready datasets and a consistent metrics/semantic layer that power reporting, self-service BI, and operational insights. You will work heavily in dbt and Snowflake to design durable data models, define trusted business metrics, and ensure data quality through testing, documentation, and observability-partnering closely with operational, product, and analytics stakeholders to translate business questions into reusable data products that drive measurable outcomes. Position Responsibilities: • Partner closely with operational and analytics teams to translate business needs into analytics-ready data models, curated data marts, and reusable datasets., • Build and maintain dbt projects (staging intermediate marts), including model layering, macros, exposures, packages, and source freshness to accelerate delivery and improve reliability., • Design and evolve dimensional models (facts/dimensions, grain, SCD patterns) and analytics patterns aligned with key business domains., • Own metrics definitions end-to-end: establish KPI logic, naming standards, calculation rules, and governance; maintain a metrics/semantic layer so stakeholders use consistent definitions across tools and teams., • Implement robust data quality practices (dbt tests, constraints, anomaly checks/monitoring) to ensure reliable downstream reporting and decision-making., • Produce clear documentation and enablement assets (dbt docs, lineage, data dictionaries, metric definitions, onboarding guides) to support self-service analytics., • Optimize warehouse performance and cost in Snowflake through SQL tuning, incremental models, appropriate materializations, and efficient data design., • Use disciplined software engineering practices (Git-based workflows, peer review, CI checks, versioning, environment promotion) to deploy changes safely and repeatably., • Proactively identify and resolve data-related issues, ensuring system reliability and data integrity., • Provide ongoing support for critical analytics data products and participate in an on-call rotation as needed., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience)., • Strong SQL skills and experience building analytics datasets in a modern cloud data warehouse (Snowflake preferred)., • Hands-on experience with dbt core (model development, tests, documentation, macros, deployments)., • Solid foundation in data modeling (dimensional/Kimball concepts, facts/dimensions, grain, slowly changing dimensions)., • Experience defining and managing metrics: translating business logic into consistent KPI definitions, documenting edge cases, and maintaining metric governance over time., • 1+ years of experience delivering production-grade analytics models/marts or BI-ready datasets (internships/co-ops may be considered depending on leveling)., • Ability to collaborate effectively with both technical and non-technical stakeholders; strong communication and documentation skills., • A self-motivated, detail-oriented individual with the ability to tackle and solve intricate technical challenges and deliver high-quality work. Preferred Qualifications: • Experience in healthcare, PBM, insurance, or other regulated data environments., • Deep familiarity with Snowflake and experience supporting multiple warehouses or databases as environments evolve (e.g., Redshift and/or Postgres)., • Familiarity with semantic/metrics layer patterns and practices (e.g., consistent metric definitions, metric governance, semantic modeling approaches) and enabling KPI consumption across BI tools., • Experience with CI/CD for analytics (automated tests, PR checks, environment promotion) and data observability/monitoring practices., • Working knowledge of Python for data tooling or analytics enablement (e.g., automation, validation checks), and comfort collaborating with orchestration/workflow tools when needed. This range represents the low and high end of the anticipated base salary range for the NY-based position. The actual base salary will depend on several factors such as experience, knowledge, and skills, and if the location of the job changes. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx 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. Salary Range$100,000—$120,000 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___.

Job Title: Senior Software Engineer Duration: 6+ months (CTH) Location: hybrid (Newark, NJ) Summary As a Senior Software Engineer on the Retirement Strategies Technology team, you will partner with product owners, tech leads, designers, engineers and delivery professionals to deliver quality platforms and products with speed.? You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. Here is What You Can Expect on a Typical Day Build applications ensuring that the code follows latest coding practices and industry standards, using modern design patterns and architectural principles; remove technical impediments?? Develop high quality, well documented and efficient code adhering to all applicable Prudential standards?? Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact? Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems?? Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day?? Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables. Use programming languages including but not limited to Java, JavaScript, Springboot, Node.js frameworks? The Skills & Expertise You Bring: Bachelor of Computer Science or Engineering or experience in related fields Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization?? Experience with agile development methodologies and Test-Driven Development (TDD) Knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the company's business Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges Excellent problem solving, communication and collaboration skills Advanced experience and/or expertise with several of the following: Programming Languages:? Java, Java Script; working in distributed systems, object oriented programming, design patterns and design methodology; JAVA services using Spring,, Microservices, multi-threading, Concurrency and parallel processing Frameworks:?Springboot, Node.js Data Store:?NoSQL or Relational Data structures; Data Streaming:?SQS, SNA Application Programming Interfaces (API): Consumption & Development; implementing service oriented architecture (SOA) patterns; Web service technologies such as APIs, REST, JSON, SQL API Management & Integration : Kong, Apigee Unit, interface and end user testing?concepts and tooling (functional & non-functional) Automated testing Accessibility awareness Software security skills?including?secure coding, web application security and ; Solid grasp of security concepts (authentication, authorization, encryption, digital signature, JWT), SSL, web service proxies, firewall, SAML 2.0, OpenID Connect, OAuth 2.0) Dev Ops Tools & Practices: Branching techniques and usage of GitHub; DevOps Software Development Life Cycle (SDLC): Monitoring and logging techniques AWS Core Services across compute, storage, DB, IAM Preferred Qualifications: Strong experience with Domain Driven Development (DDD) AWS cloud native solution development Architecture Patterns Design and critical Thinking Financial/Insurance industry experience is a must, not a plus People Leadership Experience is a plus. Experience with agentic frameworks and AI driven development tools is a major plus [Claude Code, GitHub Copilot etc]

Job Title: QA Engineer Location: Hybrid- Newark, NJ Duration: 12 months Overview The Engineering team is seeking a candidate to lead the design and development of AI-powered test automation capabilities across client. This role will leverage AI and LLM technologies to fundamentally transform how functional, regression, and integration testing is created, maintained, and executed. We are looking for someone who combines strong quality engineering fundamentals with a passion for AI-driven development. The successful candidate will define the strategy for AI-powered test automation, build frameworks that use AI to generate and maintain test suites, and establish standards that ensure consistent quality across applications. Key Responsibilities Test Automation & AI Integration • Design and build AI-powered test automation frameworks that leverage LLMs to generate, execute, and maintain test cases for functional, regression, and integration testing, • Develop AI-driven approaches to analyze application code and automatically generate meaningful test coverage, • Build and maintain reusable automation components that integrate AI capabilities into existing test pipelines, • Create self-healing test suites that use AI to adapt to application changes and reduce maintenance overhead Strategy & Standards • Define the overall strategy and roadmap for AI-powered quality engineering across the organization, • Establish standards for test automation quality, coverage thresholds, and AI-generated test validation, • Evaluate and integrate AI/LLM tools into the testing lifecycle, assessing their reliability and enterprise fit, • Define best practices for prompt engineering in the context of test generation and validation, • Track and report on the effectiveness of AI-driven testing compared to traditional approaches Collaboration • Partner with agentic code development and AI tooling teams to ensure quality is embedded throughout the AI-powered SDLC, • Work with development teams to integrate AI-driven testing into their CI/CD pipelines, • Collaborate with InfoSec and compliance teams to ensure AI-generated tests meet enterprise requirements, • Share knowledge and best practices across teams, building organizational capability in AI-powered testing Qualifications Required Experience • Extensive experience in quality engineering, test automation, or software development in an enterprise environment, • Demonstrated experience building and maintaining test automation frameworks, • Strong programming background in multiple languages (Python, JavaScript/TypeScript, Java, etc.), • Experience with AI/LLM tools and platforms (Claude, ChatGPT, Copilot, or similar), • Fluency with Agile delivery methodologies and Test-Driven Development (TDD), • Experience integrating test automation into CI/CD pipelines Technical Skills • Deep knowledge of test automation frameworks and tools (Selenium, Playwright, Cypress, or similar), • Understanding of prompt engineering principles applied to test generation and validation, • Experience with API testing, contract testing, and integration testing patterns, • Familiarity with AI agent frameworks and how they can be applied to testing workflows, • Knowledge of DevOps practices and CI/CD tooling, • Strong technical troubleshooting and problem-solving skills Preferred • Hands-on experience with Claude Code or similar AI development tools, • Experience with MCP (Model Context Protocol) integrations Soft Skills • Ability to define and communicate a technical vision for AI-powered quality engineering, • Strong analytical mindset - able to evaluate AI-generated outputs critically, • Self-directed with ability to work independently while collaborating across teams, • Ability to learn quickly in the fast-moving AI space, • Strong written and verbal communication skills Education - Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will redefine how engineers develop, build, test, and deploy software at Scale using AI development tools in addition to traditional practices. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: • Define next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions., • Drive the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements., • Directly mentor software engineers ranging from new grads to experienced engineers., • Proactively identify opportunities and drive improvements to software development practices, processes, tools, and languages., • 4+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems., • Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others., • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)., • Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems., • Show a track record of independent ownership of successful engineering projects., • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc., • Experience with modern web frameworks like NodeJS, NextJS, etc., • Experience scaling products at hyper-growth startups. 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 ___. 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 GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack-from React/TypeScript frontends to Python-based backends-while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. • Own major full-stack product areas, driving features from design through production deployment., • Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness., • Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components., • Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences., • Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers., • Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP., • Adapt quickly-learning new technologies, frameworks, and tools as needed across the stack., • 5+ years of full-time engineering experience, post-graduation., • Strong experience developing full-stack applications using React, TypeScript, and Python., • Experience scaling or shipping products at high-growth startups., • Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome)., • Proficiency with SQL and modern API development., • Experience with Kubernetes, containerization, and microservice architectures. 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 ___. 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 Technology Development Operations Engineer Cooley is seeking a Senior DevOps Engineer to join the Infrastructure & Development Operations team. Position summary: The Technology Development Operations (DevOps) Engineer is responsible for building, maintaining, and optimizing the infrastructure and automation pipelines that support Cooley's custom application delivery. Working under the guidance of the Development Operations Manager, this role focuses on improving the efficiency, security, and reliability of the firm's hybrid cloud environments and CI/CD workflows. The engineer will collaborate closely with development, data, and infrastructure teams to ensure seamless integration and deployment of applications. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Build, configure, and maintain DevOps infrastructure across hybrid cloud environments (AWS, Azure, on-prem), • Develop and maintain Infrastructure as Code (IaC) using Terraform and related tools, • Implement and manage CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins, • Automate provisioning, configuration, and deployment processes to support rapid and secure software delivery, • Monitor system performance, availability, and security using tools like Datadog, AppDynamics, or New Relic, • Participate in incident response, root cause analysis, and postmortem documentation, • Support release management processes across Dev/Test/Prod environments, • Work with development and data teams to integrate applications into the DevOps-managed environment, • Attend stand-ups and planning sessions to stay aligned with product and infrastructure roadmaps, • Provide documentation and knowledge sharing for operational processes and tooling, • Consult peer teams for feedback during the design, testing, and implementation stages, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 6+ years of experience in cloud infrastructure and DevOps, • Proficiency in AWS or Azure architecture, configuration, and security, • Experience designing CI/CD pipelines using Azure DevOps, Jenkins, or GitHub Actions, • Strong Terraform skills, including use of Terragrunt and advanced workflows, • Hands-on experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD), • Familiarity with microservices deployment and release automation, • Experience deploying .NET Core containers on Linux and scripting in Linux/Windows, • Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch), • Bachelor's degree in Computer Science, IT, Engineering, or associated discipline, • Experience with ETL workflows and tools such as AWS EMR, Azure Synapse, Data Factory, Hive, Spark, or Airflow, • Experience deploying AKS/EKS/GKE via IaC, • Familiarity with enterprise Data Lake environments (e.g., Databricks, Snowflake) Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues., • Excellent organizational, planning, and time management skills and ability to work either independently and in a team environment to manage competing priorities and meet deadlines, • Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely, • Experience working with all levels of business professionals, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacy Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $155,000 - $220,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

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 Location: Hybrid (Local to NYC area) About the team The Platform team at Capital Rx is made up of a set of passionate, motivated, and driven individuals who are not only experts in technologies but are great problems solvers and brings high energy and inspiration every day. The team always works a sense of ownership and urgency delivering highest quality of work ensuring seamless operations and fostering collaboration across the software engineering department. We own the architecture, framework & standards, infrastructure and CI/CD pipelines which development teams utilize to deliver code to Captial Rx's Judi platform. The team is also responsible for the production environment which requires knowledge with monitoring, alerting and on-call practices. The Platform team performs many functions whether that is tactical operations, providing general solutions for the enterprise or giving guidance or recommendations for individual product teams. Position Summary: We are a rapidly growing late-stage health tech company helping millions of lives through our innovative product Judi. We're seeking a highly skilled and experiencedSenior Platform DeveloperIIto join our platform team. This pivotal role will be instrumental in building, scaling, and maintain the robust and secure infrastructure that powers our mission-critical platform. You will be a force multiplier, enabling our development teams to deliver features faster and more reliably. You will champion infrastructure-as-code principles, contribute code to platform scalability, drive automation across the entire software development lifecycle, and ensure our platform meets the highest standards of scalability, performance, and security. Position Responsibilities: • Architect, implement, and maintain highly available, scalable, and secure platform & infrastructure, • Develop and maintain robust automation pipelines for continuous delivery (CI/CD), and infrastructure provisioning tools like GoCD, Harness, and Terraform, • Write clean, efficient, and well-tested Python code for automation, tooling and service development., • Manage and optimize relational or in-memory databases, including PostgreSQL, Redshift and Redis, ensuring high performance, reliability, and data integrity., • Administer and finetune container orchestration platforms such EKS and ECS., • Implement and manage serverless architectures leveraging AWS Lambda for various platform functionalities., • Collaborate closely with development teams to ensure infrastructure aligns with application requirements and best practices., • Lead efforts in defining and enforcing security best practices across the platform, including adherence to HIPAA standards, FISMA, SOC II, and FedRAMP compliance standards., • Monitor systems performance, identify bottlenecks, and implement proactive solutions to ensure optimal operation and scalability., • Participate in on-call rotations to provide operational support and incident response., • Champion Agile/Scrum methodologies, actively participating in sprint planning, stand-ups, and retrospectives., • Mentor junior developers and contribute to a culture of technical excellence and continuous improvement., • Evaluate and recommend new technologies and tools to enhance platform capabilities and efficiency., • Develop internal tooling and automation scripts using Python and work with SQL to support operational workflows., • Implement observability (monitoring/logging/alerting) best practices for highly available SaaS services., • 8+ years of experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer., • Deep expertise inAWSinfrastructure and services including but not limited to EC2, Lambda, ECS, EKS, RDS, S3, VPC, CloudWatch, SQS, SNS, IAM, Kinesis, • Excellent proficiency withTerraform,Python,SQL, and automation tooling., • Extensive experience withDockerand container orchestration (Kubernetes/EKS)., • Solid understanding and hands-on experience with SQL, database administration (PostgreSQLpreferred), and performance tuning, • Experience withCI/CDsystems (e.g., GoCD, GitHub Actions, Harness)., • Proven experience in automatingObservability & Monitoring (Grafana, Kibana, Prometheus),standardizing incident response for alerts to maintain SLAs and SLOs, • Hands-on experience in environments compliant withFISMA,SOC 2, and/orFedRAMP., • Background in buildinghighly scalable, performant SaaSplatforms., • Excellent communication, collaboration and problem-solving skills., • Ability to work effectively with cross-functional teams, including developers, IT security & compliance, product manager, and scrum masters., • Strong experience inproduction on callrotations and responding to alerts. 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. Salary Range$160,000—$200,000 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___.

The Senior Staff Data Engineer is responsible for leading data infrastructure initiatives and driving operational excellence across the data engineering function. This role ensures reliable data ingestion, orchestration, and application delivery while supporting organizational analytics goals and fostering a culture of technical excellence and collaboration. The Senior Staff Data Engineer will serve as a strategic partner to analytics, engineering, and business intelligence teams. • Designing, implementing, and maintaining scalable data pipelines and orchestration workflows using Airflow and modern data stack technologies, • Building and optimizing data ingestion processes from diverse sources to support analytics and business applications, • Developing and maintaining analytics engineering workflows using dbt, SQL, and Python to transform raw data into analytics-ready models, • Leading code reviews, establishing best practices, and mentoring junior engineers on data DevOps principles and tooling, • Collaborating with analytics and BI teams to understand requirements and deliver robust data solutions, • Monitoring pipeline performance, data quality metrics, and system health while implementing proactive improvements, • Managing data infrastructure as code, CI/CD pipelines, and deployment automation for data applications, • Documenting technical specifications, architectural decisions, to ensure knowledge sharing and maintainability, • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience, • 7+ years of experience in data engineering, analytics engineering, or DevOps roles with demonstrated progression in technical complexity, • Advanced proficiency in Python for data processing, automation, and application development, • Expert-level SQL skills and hands-on experience with dbt for analytics engineering, • Experience with workflow orchestration tools, preferably Apache Airflow, for managing complex data pipelines, • Strong understanding of data warehousing concepts, ETL/ELT patterns, and modern data stack technologies, • Proven ability to work collaboratively with cross-functional teams and translate business requirements into technical solutions, • Excellent problem-solving skills with a track record of troubleshooting complex data issues and implementing scalable solutions 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 $140,000.00 - $260,000.00, + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Chobani provides a comprehensive benefits package, including medical, dental, vision coverage, disability insurance, health savings account, flexible spending accounts, and tuition reimbursement. To help save for the future, all employees are eligible for a 401k match of 100% on up to 5% of eligible pay. To support growing families, we provide fertility and childcare assistance, and 12 weeks of parental leave at full pay after six months of continuous employment. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, a wellness reimbursement, on-site gym access (certain locations) and a monthly wellness newsletter to connect you with resources and timely information. We offer various types of paid time of including: 120 hours of paid time off, 11 holidays, and paid volunteer time off.

Identity and Access Management ("IAM") Engineer Cooley is seeking an IAM 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 Technology Identity and Access Management ("IAM") Engineer works independently and serves as a key contributor in designing, implementing, and operating secure, compliant, and scalable identity services. This role supports the firm's IAM program across Entra ID (Azure AD), Privileged Access Management, Active Directory, SSO/MFA/Conditional Access, Identity Governance processes, Cloud Identity (AWS), and Certificate Lifecycle Management. The position partners closely with Cybersecurity, Innovation and Technology teams, HR, as well as business stakeholders to deliver reliable identity capabilities that protect firm data and enable business operations. Specific duties include, but are not limited to, the following: Position responsibilities: • Deliver and operate IAM capabilities across provisioning, authentication, authorization, and identity lifecycle processes, • Administer and improve Microsoft Entra ID (Azure AD) and on-prem Active Directory including account lifecycle management, group/role administration, delegations, and directory hygiene, • Implement and support Single Sign-on (SSO), Multi Factor Authentication (MFA), and Conditional Access controls, ensuring authentication standards are applied consistently and exceptions are documented and governed, • Engineer and maintain identity integrations for SaaS and on-prem applications, including federation and enterprise application configurations, • Support the Privileged Access Management (PAM) program by onboarding privileged identities, implementing credential protection and rotation workflows, supporting access approvals and break-glass procedures, • Execute identity governance workflows such as joiner/mover/leaver workflows, access requests, access reviews, exception handling, and remediation activities in coordination with IAM leadership and HR/Technology stakeholders, • Implement cloud identity solutions using secure access patterns for human and workload identities, aligned to firm standards and least privilege, • Contribute to certificate lifecycle management efforts, including inventory support, ownership mapping, issuance/renewal processes, and automation initiatives, • Implement, manage and maintain internal and external certificate platforms, • Automate and standardize IAM operations through scripting or other automation workflows to improve efficiency, consistency, and reliability, • Monitor IAM systems and access posture for issues or anomalies and partner with Cyber Security and other Technology teams to resolve findings, • Develop and maintain clear documentation, procedures, and runbooks for IAM systems and integrations, • Participate in on-call rotation and after-hours support, as required, • All other duties as assigned or required Skills & 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, • 4+ years of progressive IAM/directory/authentication or relevant experience in an enterprise environment. Senior level candidates must have 5+ years' directly applicable experience., • Hands-on experience with Entra ID (Azure AD) and Active Directory administration, including identity lifecycle management and enterprise account administration, • Hands-on experience implementing and supporting SSO/MFA/Conditional Access controls, • Experience with identity and access protocols such as SAML, OAuth, OpenID Connect, LDAP, and SCIM, • Experience supporting or engineering Privileged Access Management (PAM) workflows, • Experience working with cloud identity services, including roles, policies, and federation for human and workload identities, • Bachelor's degree in computer science, Information Systems, or related field, • Experience with PAM tooling and privileged identity workflows and/or identity governance, • Familiarity with AWS IAM and broader cloud IAM patterns, • PowerShell scripting (or equivalent) to support automation and operational consistency, • Experience with CrowdStrike Identity Protection, • Experience with Tenable Identity Exposure, • Experience with SIEM solutions, • Prior law firm or professional services experience, • Relevant certifications such as CISSP, Azure, AWS or other IAM-focused certifications Competencies: • Entrepreneurial by nature, • Strong analytical and problem-solving skills, with the ability to design, implement and troubleshoot identity and access solutions, • Demonstrates sound technical judgement when implementing authentication, access controls, and security integrations, • Works independently while effectively prioritizing tasks and managing multiple workstreams, • Communicates clearly and professionally with both technical and non-technical stakeholders, • Maintains a high level of accuracy, documentation, and attention to detail in operational work, • Adapts quickly to changing requirements, technologies, and priorities, • 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 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. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Job Title: Security Operations (SecOps) Engineer.Duration: 12+ Months (Possible extension).Seeking a hands-on Security Operations (SecOps) Engineer to build, operate, and continuously improve the security posture of a FedRAMP-compliant Azure environment, using native Microsoft tooling end-to-end.Wil

Position – Senior Site Reliability Engineer Experience:10-12+ years Role :- Contract to Hire Location: Remote JOB DESCRIPTION Reliability & Performance •⁠ ⁠Design and implement monitoring, alerting, and reliability tooling using CloudWatch, Grafana, Prometheus, Datadog, or ELK. Champion DevO

This Jobot Job is hosted by: Ryan Weingardt Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $85,000 - $115,000 per year A bit about us: A century-old, privately held contract manufacturer specializing in medical device components and assemblies. Headquartered in Butler, Wisconsin, it operates additional facilities in Hudson, New Hampshire, and Largo, Florida. The company is renowned for its expertise in silicone molding, thermoplastics, and multi-material molding, serving some of the world's largest medical device companies. Their capabilities encompass design assistance, development, manufacturing, and finished device assembly, all conducted within ISO-certified cleanroom environments Why join us? The company offers a competitive compensation package, including health, dental, and vision insurance, life and disability benefits, a 401(k) plan, and quarterly profit-sharing bonuses. They emphasize employee development through mentoring, continuing education, and exposure to the latest technological advances in the medical device field. Job Details Position Summary: The Process Engineer will play a critical role in supporting and optimizing the company’s molding operations. Based at the Brookfield, WI headquarters, this position will focus on a variety of molding technologies including injection molding, compression/transfer molding, liquid silicone rubber (LSR), thermoplastics, and high-consistency rubber (HCR). The ideal candidate will apply scientific molding principles to improve process reliability and performance, support mold qualifications, and lead continuous improvement initiatives. Key Responsibilities: • Develop, implement, and optimize molding processes using scientific molding techniques., • Perform initial mold setups and troubleshoot tooling and process issues., • Collaborate with cross-functional teams to support new product introductions and mold validations., • Analyze process data to identify trends and implement corrective actions., • Train and mentor process technicians and production staff on best practices and process controls., • Minimum of 5 years of hands-on experience in molding process engineering, preferably in a medical device manufacturing environment., • In-depth knowledge of injection molding, LSR, thermoplastics, and HCR processes., • Experience with scientific molding methodologies and DOE (Design of Experiments) is strongly preferred., • Technical degree in engineering or a related discipline is preferred., • Strong problem-solving skills, attention to detail, and a commitment to continuous improvement. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

About the roleThe Senior Production Engineering team sits at the heart of CoreWeave’s reliability efforts. What you’ve worked on (Minimum qualifications)4+ years of software or infrastructure engineering experience building and operating production services.

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

As a Full Stack Engineer, you'll work across our entire stack, from real-time voice interactions to operational tooling and backend logic. Build and maintain full-stack features across our TypeScript monorepo. Engineers here talk to users, design features, and ship fast.

Department/Group Overview: Media Tooling. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business global

This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. As a Seni

A leading mental health technology company is seeking a Security Engineer to ensure the secure design and development of applications. The role involves partnering with product and engineering teams, conducting security reviews, and enhancing automated tooling.

Job Description We are seeking a Junior Engineer with a strong interest in improving the way engineers build, test, deploy and maintain software. You will work closely with our engineering and platform teams to design, implement, and refine tooling, automation, and processes that enhance productivity and reduce friction across the development lifecycle. The ideal candidate has: • Strong passion for engineering and developer experience, • Proactive mindset with a focus on continuous improvement, • Solid problem-solving and communication skills, • Curiosity and eagerness to learn new technologies What will you be doing? • Contributing to the design, implementation, and improvement of developer tooling, CI/CD pipelines, and internal platforms, • Maintaining and enhancing developer workflows, documentation, and internal systems, • Building automation that improves build, test, and deployment efficiency, • Identifying pain points in the developer journey and proposing practical, scalable solutions, • Collaborating with engineers across teams to improve onboarding and day-to-day development experience, • Participating in code reviews and helping shape best engineering practices, • Meaningful hands-on engineering experience with real-world systems, • Mentorship and guidance from experienced engineers and platform specialists, • Opportunity to deliver impactful improvements from early on, • Exposure to modern engineering practices, tools, and infrastructure, • Clear development pathways as part of a growing engineering organization, • A recent bachelor's degree in Computer Science, Software Engineering or related field, • Foundational knowledge of TypeScript, • Familiarity with Java and the Java ecosystem, • Experience with Git and version control workflows, • Interest in DevOps, CI/CD and platform engineering, • A real desire to learn, take initiative and grow in a dynamic start-up environment Valstro offers an excellent benefits package, including pension or 401 (k) plans, unlimited PTO and highly competitive compensation. Our leadership team brings a wealth of experience and deep industry knowledge, and despite being a young company, we believe we have carefully dialed in our product-market fit.

Champion modern backend practices — including observability, scalability, and fault tolerance — within the Tooling ecosystem. Kiddom’s Tooling team builds and maintains the core systems that empower all engineering teams to deliver reliable, scalable, and efficient software. Design, build, and

Principal Software Engineer (Mobile). You will be a core part of leading Gemini’s mobile client development practices, both by contributing to and adopting modern tooling for the mobile client from both a client architecture and CI process standpoint, working cross-functionally across Gemini’s e

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

Job DescriptionCareer Renew is recruiting for one of its clients a Senior/Staff Backend Engineer - Crypto - this is a fully onsite role in NYC. We are the development company that builds and operates the entire technology stack behind the largest memecoin launchpad in production today. ~$1B daily volume. Low latency, high throughput, constant load. What You’ll Do * Own the most critical and complex backend systems, directly writing and shipping production code across core services * Lead the design and implementation of high-scale distributed systems that power real-time, high-throughput workloads * Set technical direction for foundational backend architecture while remaining deeply involved in execution * Make principled architectural decisions that balance iteration speed with long-term scalability, resilience, and maintainability * Drive multi-service initiatives that cut across storage, compute, APIs, and blockchain infrastructure * Anticipate scaling constraints and correctness risks before they surface, proactively designing durable solutions * Establish patterns and standards for observability, reliability, performance tuning, and operational excellence * Raise the engineering bar through design reviews, RFCs, and direct mentorship, influencing through technical depth and clarity of thinking * Act as a technical anchor during high-pressure incidents, ensuring systems remain stable under load * Improve internal developer velocity by evolving tooling, CI/CD pipelines, and service abstractions Who You Are * 10+ years of backend engineering experience, with multiple cycles of building, scaling, and operating distributed systems in production * Proven track record of owning foundational backend architecture in high-growth or high-scale environments * Deep expertise in Rust, Go, or TypeScript, with strong systems-level intuition * Strong understanding of distributed systems design: consensus, failure modes, replication, consistency models, and performance tradeoffs * Extensive experience with database design and data modelling, including complex tradeoffs around consistency, latency, and durability * Comfortable owning ambiguous, cross-cutting problems that span multiple services and teams * Recognised as a go-to technical authority by senior engineers and peers * High-agency and execution-focused. You shape direction by building * Crypto experience is a plus What it's like to work here * We work in person * Hours can be long and unconventional * The pace is intense * Expectations are high, and impact is immediate * Working at Baton is not for everyone Why Join Us? * Unmatched ownership and autonomy * Exposure to systems operating at the edge of crypto scale * The ability to ship fast and see real-world impact immediately If you’re motivated by responsibility, speed, and building products used by massive audiences, you’ll feel at home here. Compensation & Package $500K – $1.5M • $75K – $500K Equity • Offers Bonus

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

Job Description About Our Client Our client is redefining the infrastructure behind one of the largest and most complex markets in the world: OTC derivatives. This market moves trillions of dollars daily, yet much of the underlying technology has remained largely unchanged for decades. Our client is building a modern, AI-native platform designed to power the next evolution of financial services—combining deep financial engineering with a modern cloud stack and world-class developer experience. The founding team comes from tier-one banks, hedge funds, and trading firms, where they previously built and operated some of the most sophisticated systems in the industry. Today, they are applying that expertise to create infrastructure capable of processing the most complex transactions across global financial markets—at scale, with precision, and with a focus on long-term impact. Their clients include some of the most sophisticated banks, hedge funds, and asset managers in the world. The problems are technically challenging, the data is dense, and the systems being built will influence how this market operates for decades. Technology Environment This is a modern, cloud-native engineering organization: * Serverless, cloud-native architecture by design * Infrastructure as Code (IaC) * Backend services written primarily in Python and Java * Frontend built with TypeScript and React * Heavy use of modern AI tooling and foundation models * Fully automated SDLC with rapid, intraday deployments * Strong emphasis on reliability, observability, and developer velocity About the Role As a Financial Engineer, you will play a hands-on role in building and scaling analytics and models for OTC derivatives across asset classes. You'll focus on translating complex financial instruments into robust, production-grade systems—owning everything from pricing logic to trade lifecycle workflows. This role sits at the intersection of financial engineering, software engineering, and modern AI-enabled infrastructure. You'll collaborate closely with platform engineers, AI engineers, and domain experts to integrate models into a broader capital markets platform used by institutional clients. This role is onsite in New York City. What You'll Be Working On * Modeling OTC derivatives from vanilla to exotic products across asset classes * Implementing trade lifecycle logic, including: * Cash flow calculations * Position management * Trade state transitions * Designing and validating pricing and analytics workflows * Integrating financial models into scalable backend services * Collaborating cross-functionally with engineering, product, and domain specialists * Ensuring accuracy, transparency, and robustness in financial calculations Required Qualifications * Bachelor's degree in Financial Engineering, Computer Science, Mathematics, Physics, or a related field * Practical experience with: * Quantitative modeling * Statistics and linear algebra * Financial data analysis * Strong understanding of derivatives and financial engineering concepts * Proficiency in Python * Strong problem-solving and communication skills * Ability to work effectively with cross-functional engineering teams * Willingness to work onsite in NYC Bonus Qualifications (Nice to Have) * Deep expertise in OTC derivative pricing and modeling across multiple asset classes * Familiarity with ISDA concepts and data models (e.g., CDM, FpML) * Strong understanding of: * Trade lifecycle management * Position and exposure management * Experience implementing or validating pricing models in production * Knowledge of collateral management, margining, and settlement processes * Experience with electronic trading and protocols (e.g., FIX, clearing workflows) * Exposure to Generative AI applications in finance (e.g., OpenAI, Anthropic, Gemini) Why This Role Stands Out * Work on foundational infrastructure, not surface-level features * Solve genuinely hard problems at the intersection of finance and technology * Join a team with deep domain credibility and long-term vision * Build systems that will shape how institutional markets operate in the future About Nxt Level Recruiting Nxt Level Recruiting partners with high-growth, venture-backed companies to help them build world-class engineering and leadership teams. We specialize in identifying top-tier talent for technically demanding roles where precision, ownership, and impact matter.

Job Description Rumble is a high-growth video platform and cloud services provider that is creating an independent infrastructure. Our mission is to restore the internet to its roots by making it free and open once again. About the Role Rumble Cloud is seeking a Kubernetes Engineer to support our team in rolling out and operating our next-generation Kubernetes platform. This role will focus on our new CAPI/CAPO-based Kubernetes solution, which is designed to be compatible with our existing OpenStack Magnum API and will be deployed across our public cloud. You will help run the day-to-day operations of the Kubernetes service, assist with migrations and onboarding from our current Magnum-based offering, and act as an escalation point for complex customer issues that go beyond front-line support. This is a hands-on engineering role for someone who enjoys debugging difficult problems, improving reliability, and working closely with both platform engineers and customer-facing teams. Key Responsibilities * Operate and maintain Rumble Cloud's Kubernetes platform, including our new CAPI/CAPO-based installation and its integration with the OpenStack Magnum API. * Assist in the rollout, migration, and upgrade processes as customers transition from the existing Magnum-based solution to the new platform. * Serve as an escalation point for customer support, troubleshooting complex Kubernetes and cluster lifecycle issues. * Monitor the health, performance, and capacity of Kubernetes clusters and underlying infrastructure; assist in incident response and root cause analysis. * Implement and maintain day-2 operations processes, including backup/restore, scaling, patching, and cluster upgrades. * Collaborate with the Kubernetes Architect to implement standards, best practices, and reference patterns for cluster configuration and operations. * Help manage and integrate container registries, identity, networking, and storage components required for the Kubernetes platform. * Automate repetitive operational tasks using scripting and infrastructure-as-code tools. * Contribute to and maintain runbooks, documentation, and knowledge base articles for both internal teams and customer-facing support. * Provide feedback from operations and customer interactions to influence platform improvements and product roadmap. Required Skills & Experience * Extensive experience in Linux systems engineering, cloud engineering, or platform/SRE roles, including hands-on work with Kubernetes in production environments. * Practical experience with installing, operating, and troubleshooting Kubernetes in production environments. * Experience working with Kubernetes on OpenStack or other cloud providers. * Familiarity with Cluster API (CAPI) and/or Cluster API Provider OpenStack (CAPO), or strong willingness to ramp up quickly. * Strong understanding of Linux, containers, and container runtimes (e.g., Docker, containerd). * Experience with Kubernetes networking, storage, and ingress concepts (CNI, CSI, load balancers, ingress controllers). * Hands-on experience with scripting and automation (e.g., Bash, Python, or Go) for operational tasks. * Familiarity with configuration management and IaC tools such as Ansible and Terraform. * Experience with monitoring and logging in Kubernetes environments (e.g., Prometheus, Grafana, ELK/Graylog, or similar). * Strong troubleshooting skills, clear written documentation, and effective communication with both technical and non-technical stakeholders. Nice to Have (Preferred Skills) * Experience with OpenStack Magnum and its Kubernetes integrations. * Experience operating Kubernetes on other public cloud platforms (EKS, AKS, GKE). * Knowledge of Ceph, S3-compatible storage, and their use with Kubernetes. * Understanding of application architectures on Kubernetes, including microservices and 12-factor applications. * Exposure to CI/CD toolchains (e.g., Git, GitLab/Jenkins, Artifactory, etc.) for containerized workloads. * Experience with security hardening and best practices for Kubernetes (RBAC, PodSecurity, network policies, image scanning). Qualifications * Demonstrated experience operating production Kubernetes clusters and working as part of a cross-functional cloud/platform team. * Ability to work effectively under pressure, handle escalations, and maintain a strong customer-focused mindset. * Passion for continuous learning in Kubernetes, cloud-native tooling, and automation. Annual Compensation Range: $175,000 - $220,000 USD base + benefits + equity (If based in the United States) Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization. Why Our Team Loves Working Here: • We are making a significant financial impact for our video creator community; we're proud of their success stories, • We enjoy challenging the status quo and going head-to-head against Big Tech, • We aren't afraid to try new things; we act fast and want to win Physical demands of the position: While performing the duties of this job, the employee is regularly required to sit for prolonged periods of time while using a computer and/or keyboard. The employee is required to communicate verbally and hear. The employee may be required to walk, reach with hands and arms, balance, and stoop or kneel. The employee may occasionally be required to lift and/or move up to 15 pounds. Specific vision abilities required by this job include clarity of vision at approximately 20 inches or less (i.e., working with small objects or reading small print), including the use of computers.

Job Description CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview As a Senior Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted analytics, cloud infrastructure, and data ingestion pipelines that power our customer-facing applications and internal modeling platforms. This role is well-suited for an engineer who enjoys working close to the data and infrastructure layers, has strong architectural judgment, and is excited to operate across AI systems, databases, and distributed backend services. You will take ownership of complex systems, drive major technical migrations, and help shape how intelligence is embedded into industrial energy workflows. You will collaborate closely with product, modeling, and frontend engineers, and you will have significant influence over platform direction, reliability, and long-term scalability. Key Responsibilities As a Senior Software Engineer, you will contribute across several interconnected areas: Intelligent Systems • Map customer domains and operational workflows into effective prompts and AI system interfaces, • Design, execute, and iterate on evals for AI outputs, • Incorporate customer feedback and reinforcement signals to improve system behavior, • Refine context selection, retrieval, and trace collection to improve output quality, • Fine-tune smaller models using collected traces to reduce latency while preserving performance, • Evaluate and integrate new AI platforms and models as they become available, • Support training and deployment of large, time-series-focused modelsBackend Platform & Data Infrastructure, • Lead migrations and upgrades of our time-series data schemas and storage engines, • Upgrade and maintain PostgreSQL and related database infrastructure, • Develop and maintain data connectors for industrial and third-party systems, • Lead MQTT-based data ingestion pipeline improvements, • Transition PostgREST to GraphQL-based framework and evolve our API architecture, • Improve TigerData to next-gen time series design and simplify multi-tenant provisioning workflowsDatabase & Analytics Systems, • Optimize performance and reliability of high-volume time-series data stores, • Design and execute architecture plans for TigerData, • Augment analytical workloads using Parquet and/or Iceberg-based storage formats, • Balance real-time and historical query performance across operational and analytical use casesModeling Platform Support, • Improve and consolidate internal machine learning systems, • Enable parallelized and distributed model training workflows, • Implement message brokers and orchestration mechanisms for multi-stage learning pipelines, • Improve reproducibility, traceability, and coordination across modeling stagesReliability & Developer Experience, • Strengthen cloud infrastructure uptime, observability, and deployment reliability, • Standardize build, test, and release processes across services, • Improve developer tooling and internal platform ergonomics, • Port backend services from bun to Node.js where appropriate, • Track and improve DORA metrics (deployment frequency, lead time, change failure rate, recovery time) Our current technology stack includes Python, TypeScript, Supabase, PostgreSQL, MQTT, TigerData, InfluxDB, AWS, and GitHub-based CI/CD workflows. A strong candidate will bring: • A relevant engineering degree or equivalent professional experience with a strong computer science foundation, • 5+ years experience building and operating production backend systems, • Strong proficiency in Python and/or TypeScript for backend development, • Experience with databases, especially PostgreSQL and time-series or analytical data stores, • Familiarity with event-driven systems, streaming data, or message brokers, • Experience designing or supporting AI/ML systems in production is a strong plus, • Comfort working on infrastructure, data pipelines, and evolving system architectures, • Strong communication skills and the ability to collaborate in a high-ownership environment, • Experience working in a startup or fast-moving product organization, • Willingness to travel occasionally to customer sites to understand real-world constraints CVector provides team members with: • A competitive compensation package with meaningful equity upside, • A robust selection of health, dental, and vision insurance options, • Optional Health Flexible Spending Account (FSA), • Unlimited PTO with a three week minimum per year, plus additional sick days, • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack, • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better, • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable The anticipated base salary range for this role is $125,000 to $150,000. Why This Role Matters at CVector This role sits at the intersection of AI systems, time-series data, and real-world energy infrastructure. Your work will directly impact system reliability, customer trust, and CVector’s ability to scale intelligent energy management across industries. If you enjoy solving deep backend problems, shaping platform foundations, and embedding intelligence into physical systems, this role offers both technical challenge and real-world impact.

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

Job Description Northern Architectural Systems (“NAS”) is a growth-minded, locally owned and operated company which is dedicated to servicing our customers. We offer high quality, energy-efficient fenestration and building facade solutions to meet the requirements of a demanding market, while remaining environmentally-friendly. Northern Architectural Systems has been recognized by INC Magazine on the list of the top 5000 Fastest Growing Private Companies in America and as one of the top 50 Fastest Growing Companies in New Jersey by NJBIZ Magazine. Overview: We are looking to fulfill our need for a Manufacturing Engineer at our Teterboro, NJ facility. This role will be responsible for assisting our production staff with product design, fabrication, assembly, tooling and materials as well as assisting with scheduling, planning and forecasting. This individual will be accountable for assuring project accuracy and quality from conception to completion. The Manufacturing Engineer must possess exceptional organizational, problem-solving, and communication skills while being results-driven with a keen attention to detail. Requirements Essential Duties and Responsibilities (additional duties may be assigned): • Familiar with work orders, shop drawings, pick tickets, routings, schedules, material labels, part drawings and inspection data records., • Develop a working knowledge of the capabilities for aluminum, plastics, gaskets, glazing and other materials associated with the business, • Assist in the design and development of new products, • Generate a bill of materials (BOM) for the Purchasing and Production departments., • Offer suggestions for changes to documentation, specifications, and/or anything related with the BOM, orders and confirmations, • Participate in group discussions and meetings with management, • Provide assistance in resolving manufacturing challenges, • Enter and maintain operational data such as part numbers, batches, sizes and revision levels in NAS’s systems., • Responsible for developing production documents, managing revisions and communicating changes across various formats and departments., • Assist in maintaining folders and records related to order confirmations, material allocation and order production with the factory., • Ensure all orders are completed in production, according to all quality and technical specifications., • Associate's Degree in Engineering or Bachelor of Engineering degree, • Mechanical engineering knowledge a plus, • 1+ years’ experience (after completed degree) as a Mechanical or Manufacturing Engineer or similar position, • Must have basic knowledge of AutoCAD, • Able to read fabrication drawings and knowledgeable in basic measurement methods, • Familiarity with manufacturing operations, • Strong organizational and problem-solving skills, • Able to work under pressure, • Ability to plan and prioritize activities, • Fluency in English, both written and verbal, displaying strong written and oral communications Full-time position Salary Range: $60,000 - $70,000 (commensurate with relevant work experience) Medical, Dental and Vision benefits offered 401(k) PTO (Paid Time Off) Employee Training

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

Job DescriptionSenior iOS SDK Engineer Job title: Senior iOS SDK Engineer Location: 100% REMOTE Salary: $130-170k/year + EQUITY! Requirements: SDKs/ frameworks, Apple platform knowledge, APIs, debugging Founded by one of the Scopely founders (~$5B exit in 2023 with 8 #1 games including MonopolyGo, Scrabble, Yahtzee, and Star Trek), we are a growth-stage Series B startup that's modernizing full-stack observability. We're backed by NEA, YCombinator, Greycroft, the founders of Testflight, Parse, and PagerDuty, and executives from AppDynamics, MoPub, Doordash, and Uber. We are the evolution of real-user monitoring (RUM) built on OpenTelemetry. Teams choose us because NO OTHER observability platforms are purpose built for frontend mobile and web teams while providing devops with the vital information they need to drive proactive & confident decisions. As we continue to grow, we need your help! We're currently looking for a Senior iOS SDK Engineer to join our Mobile Observability team. This role focuses on building and maintaining a high-performance, open-source Swift SDK used across all Apple platforms. You'll work close to the OS to create instrumentation libraries for performance monitoring, telemetry, hang detection, and crash reporting, while collaborating with other platform teams and contributing to standards like OpenTelemetry. What you'll be doing: • Design, build, and maintain a modular Swift SDK used across all Apple platforms., • Implement core instrumentation features including crash reporting, hang detection, performance monitoring, and telemetry capture., • Build resilient data pipelines for offline storage, batching, retries, and efficient delivery under strict mobile runtime constraints., • Shape SDK architecture and API design, ensuring clarity, stability, and long-term backward compatibility., • Debug complex platform issues involving threading, memory, lifecycle behavior, and OS/device fragmentation., • Develop capture services for networking, user interactions, and system events using frameworks like MetricKit., • Optimize performance across startup time, binary size, memory usage, and thread safety., • Collaborate with cross-platform SDK teams (React Native, Flutter, Unity) to prevent downstream breaking changes., • Contribute to OpenTelemetry alignment and upstream standards work., • Partner with Product and Customer Success to incorporate developer feedback into the SDK roadmap. What you need for this position: • Hands-on SDK or framework experience, building libraries used by other developers., • Deep knowledge of Apple runtime behavior - memory, threading, lifecycle, and startup performance., • Strong production debugging skills across diverse devices and OS versions., • API design experience, including versioning and long-term evolution., • Understanding of binary compatibility and ABI stability., • Comfort with Git and modern CI/CD pipelines., • Familiarity with Swift macros or Swift Syntax tooling., • Knowledge of OpenTelemetry or observability concepts (traces, spans, logs)., • Experience supporting multiple Apple platforms from a shared codebase.Exposure to system frameworks like MetricKit or MXDiagnostic., • Ability to work in a multi-SDK ecosystem (React Native, Flutter, Unity)., • Open-source contributions., • $140k-170k/year + EQUITY!, • Unlimited PTO, • Medical, Dental, & Vision Insurance, • Parental leave for BOTH parents, • Annual company trip :-), • Internet stipend, • $500 desk allowance to set up your home office • For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 03/27/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job Description About Fin Fin is a next-generation payments platform built for high-value, global, and instant transactions. We are a Series A-stage company backed by Sequoia, Circle, and other notable investors. Powered by stablecoins, Fin enables users and businesses to move millions of dollars in seconds - whether to other Fin users, directly into bank accounts, or across crypto rails. By combining the speed of crypto with the reliability and trust of traditional finance, Fin reimagines how money moves worldwide. If banks and payment products were reinvented today, they would look like Fin. About the role We are looking for a Senior Full Stack Engineer to join the early team and help define how money moves on Fin. You will work closely with the CEO, CTO, and a small group of senior engineers to design and ship core product experiences, integrate with payment partners (Stripe, PayPal, on and off ramps, banks), and build the systems that let Fin handle millions of transactions safely and reliably. This is a highly autonomous role where you own projects end to end, from shaping the spec to deployment, and see your work in the hands of real users quickly. If you care about building simple products on top of complex systems and are excited about fixing how global payments work, we would love to talk. We value your time: our process focuses on practical system design and architectural discussions, not LeetCode grinding or unpaid take-home assignments. What you will do * Design, build, and ship full stack features across our web and mobile surfaces, from APIs and services to polished user interfaces. * Own projects end to end: work with product and leadership to scope requirements, design systems, implement, test, and ship to production. * Integrate third party payment and financial APIs, including processors, on and off ramps, compliance tooling, and identity providers. * Build scalable, high performance services that handle real money movement with strong reliability and observability. * Maintain a high bar for code quality through clean abstractions, tests, and thoughtful code review. * Collaborate closely with product, design, and operations so that what we ship feels simple for users even when the underlying system is complex. What you need to be successful * Deep experience with TypeScript and Node.js. We are mostly a TS shop with some pockets of Rust. * Production experience with React Native. Bonus points if you are familiar with the Expo ecosystem and modern mobile build pipelines. * Experience owning complex product changes from idea through launch, not just implementing narrow tickets. * Deep comfort debugging across the stack, from database and infrastructure issues to front end performance problems. * Solid understanding of security best practices, particularly around authentication, authorization, and handling sensitive data. * A strong sense of code quality, including testing, readability, and maintainability in a fast moving environment. * Clear written and verbal communication, and an ability to work closely with non engineering partners. * High tolerance for ambiguity and the necessary shifting targets that exist in an early stage start up environment. Bonus points * Experience in EITHER traditional fintech integrations (Stripe, Plaid, ACH rails) OR blockchain infrastructure (especially Solana in a production environment). * Prior startup experience where you were an early engineer and had meaningful product ownership. Compensation Range: $125K - $250K

Job DescriptionMid-Level Manufacturing Engineer (Windows & Doors) Location: Queens, NY (on-site) Department: Engineering / Operations Reports To: VP Operations Type: Full-time Role Summary We’re looking for a hands-on Manufacturing Engineer (3+ years) to drive throughput, quality, and cost reduction across our window manufacturing lines (vinyl/aluminum). You’ll own process improvement, tooling/fixtures, new equipment integration, and production support—partnering closely with Production, Quality, Maintenance, and Sales to keep jobs moving and customers happy. Key Responsibilities • Process Optimization: Map current state, remove bottlenecks, and improve takt/OEE, scrap, and first-pass yield using lean/5S/Kaizen., • Equipment & Tooling: Specify and commission machinery (e.g., double-miter saws, 4-head welders, corner cleaners, hardware stations, IGU line); design jigs/fixtures; create preventive maintenance plans with Maintenance. Assist the mechanic with troubleshooting equipment and minimizing downtime., • Standard Work & Documentation: Build/maintain SOPs, WI’s, control plans, PFMEA; train operators and line leads., • Quality Engineering: Analyze defects/returns; implement corrective actions aligned to AAMA/NFRC and relevant ASTM performance standards (air/water/structural/thermal)., • New Product Introduction: Industrialize new profiles/assemblies—BOM/routing setup, pilot runs, capability studies, and ramp-to-rate., • Data & Cost: Track line metrics (OEE, downtime, changeover, scrap); partner with Supply Chain on yield, alternative materials, and vendor qualifications., • Safety & Compliance: Engineer guards/ergonomics; support OSHA and electrical/mechanical safety on the floor.Qualifications, • 3–5+ years in manufacturing/industrial engineering (windows/fenestration, building products, or discrete fabrication strongly preferred)., • BS in Mechanical, Industrial, or Manufacturing Engineering (or equivalent experience)., • Ability to read and write in Chinese, • Proficiency with CAD (SolidWorks/AutoCAD) and MS Office., • Demonstrated lean toolkit (5S, SMED, value-stream mapping, root cause/8D)., • Comfortable on the floor—diagnosing issues at machines, with operators, and vendors.Nice to Have, • Experience with IGU processes (spacer/butyl/hot-melt, gas fill), vinyl welding parameters, aluminum fabrication, and hardware installation cells., • Basic statistics/DOE; gauge R familiarity with AAMA/NFRC audits., • Exposure to PLC/HMI basics and machine safety.What Success Looks Like (First 90–180 Days), • Launch 5S + Standard Work in one of the three production lines (vinyl production); OEE +10% and scrap −15%., • Improve QC satisfactory results by 30%., • Implement PM checklists on priority machines; unplanned downtime −20%.Compensation & Benefits, • Monday–Friday, primarily day shift; occasional off-shift support for trials/startups., • Office adjacent to production; frequent time on the floor with PPE.Equal Opportunity Employer. We value diversity and provide equal employment opportunities to all employees and applicants.

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization. You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution. What Youll Do • Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring., • Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters., • Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows)., • Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost)., • Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models., • Collaborate with researchers to productionize models and accelerate training/inference pipelines., • Establish ML Ops best practices, internal standards, and cross-team tooling., • Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected)., • Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure)., • Proficiency with Python and familiarity with TypeScript or Go for platform integration., • Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding), • Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling)., • Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries., • Experience deploying and operating LLMs and generative models in production at enterprise scale., • Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code., • Experience optimizing GPU clusters, scheduling, and distributed training frameworks., • Prior startup experience or comfort operating with ambiguity and high ownership., • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions., • Customer impact: Deploy AI solutions powering Fortune 500 clients., • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding in 2026., • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale., • Culture & autonomy: Own critical systems while collaborating with world-class engineers., • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision

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

Job DescriptionAs a Senior Backend Software Engineer at Regard, you’ll play a leading role in building our products. You’ll be responsible for designing and developing critical backend services and driving them end-to-end through the full product lifecycle: ideation, planning, design, execution, deployment, and iteration. We expect our senior engineers to be true technical leaders by driving architectural decisions, mentoring teammates, and leading major projects that help set the bar for engineering excellence. You'll collaborate closely with product, design, and fellow engineers to ship high-quality solutions that empower physicians and improve patient care. About Regard Our mission is to bring world-class healthcare to everyone. Regard is the world’s first comprehensive, automated diagnosis tool. Regard streamlines clinical and revenue cycle efforts to dramatically improve hospital finances, patient safety, and physician happiness. We are excited by challenges, mission-oriented work, and meaningful relationships. We work closely with some of the top health systems in the country and are leading the change that healthcare - one of the largest and most inefficient industries in the world - needs. We want you to join us.Our Tech Stack: • Frontend: TypeScript, React, Tiptap, • Backend: Python (FastAPI, Flask), PostgreSQL, Redis, Celery, • Infrastructure & DevOps: Docker, Kubernetes, AWS (SQS, SNS), GitLab CI/CD, • APIs & AI: OpenAPI, OpenAI (GPT models)Responsibilities:, • Collaborate with product and design team members to best design medium to large projects balancing speed to market, user experience, business goals, and technical architecture quality, • Own medium to large backend services and drive improvements across system design, observability, testing, performance, and support., • Drive backend development practices, patterns, and processes along with the other Regard backend experts, • Mentor and review code from less experienced developers in our backend services across backend job processing, API, and other services, • Maintain and improve the quality of the codebase and tooling in your area of responsibility by proactive fixes and improvements and through identifying and proposing projects to improve the overall backend codebase, • Participate in operational activities supporting product areas you own including on-call, monitoring, and production support, • Contribute as necessary across the stack (front end, infrastructure, AWS, etc) in order to unblock projectsMinimum Qualifications:, • BS in Computer Science, • 6+ years of experience with software development in one or more programming languages, • Proficient in Python with demonstrated ability to write and maintain production-quality code, • Able to participate in on-call operational support for their areas of responsibility, • Able to travel up to 4 weeks a year for company co-working and/or retreat weeks, • Practical experience leveraging AI coding tools in day-to-day software development (e.g., Cursor, Claude Code, Codex)Preferred Qualifications:, • Experience with k8s, AWS services (serverless, etc), OpenAI services, • Experience working on a mature enterprise SaaS technology product, • Exposure to startup and/or high growth environments, • Experience working with health technology, • Strong verbal and written communication skillsHybrid Work \u007C Location \u007C Work Authorization, • For this role, Regard is currently only considering candidates who are authorized to work in the US without visa sponsorship, and are within the New York City metro area, San Francisco Bay Area, or Los Angeles, • We expect our Engineers to be in the office on Tuesdays and Thursdays. We may request more frequent in-office work during the onboarding period, • We will provide relocation assistance to anyone who does not already reside in the NYC metro area, • We prefer hiring people within commuting distance of our offices because we value getting together in person regularly, • For those who enjoy working from the office on a more regular basis, we offer catered lunches and other fun perks, • Additionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per yearComp \u007C Perks \u007C Benefits, • Eligible for equity, • 99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription, • 18 PTO days/yr + 1 week holiday break, • Monthly health & wellness budget, • Company-sponsored team retreat + social events, • A sabbatical programAt Regard, we carefully consider a wide range of factors when determining compensation, including your skills, qualifications, location, and experience. We expect the base salary range for this position to be $165,000 to $220,000. This is subject to change and may be modified in the future. We encourage all interested candidates to apply. Our goal at Regard is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. Regard is proud to be an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws. We celebrate diversity and are proud of our supportive, inclusive workplace. All candidates must successfully complete a background check as part of the hiring process.