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Our Client which is a large Payroll Firm is urgently looking for Sr. Full Stack Python Developer Sr. Full Stack Python Developer Location: Roseland, NJ Long Term Contract. Hybrid - 3 days at office Sr. FS Python – Python, Fast API, React, Django, Flask, Java Script, AWS. AI-ML Face to Face Interview is required. We are seeking an experienced Senior/Lead Software Developer to join our team and drive technical excellence across our full stack applications. This role requires a versatile engineer with minimum 5 to 6 years of experience who can architect solutions, mentor team members, and deliver high quality software across multiple technology stacks. About the Role This position offers the opportunity to work on challenging problems at the intersection of traditional software engineering and modern AI capabilities. You'll be instrumental in shaping our technical direction while building products that leverage the latest cloud and AI technologies. Required Technical Skills Backend Development Python: Advanced proficiency in Python development, including frameworks like Flask/FastAPI/Django Apache Airflow: Experience building and managing data pipelines and workflow orchestration API Design: RESTful APIs, GraphQL, microservices architecture Database: SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis) Frontend Development React: Advanced React.js development with modern hooks, state management (Redux/Context API) JavaScript/TypeScript: Strong ES6+ and TypeScript skills UI/UX: Responsive design, component libraries, modern CSS frameworks Cloud & AI AWS: Hands on experience with core AWS services: Compute: EC2, Lambda, ECS/EKS Storage: S3, RDS, DynamoDB Integration: API Gateway, EventBridge, SQS/SNS AI/ML Integration: Experience integrating AI models, LLMs, or ML services into applications Infrastructure as Code: CloudFormation, Terraform, or CDK Development • Build robust backend services using Python., • Develop responsive, user-friendly frontend applications with React, • Implement and maintain data pipelines using Apache Airflow, • Integrate AI/ML capabilities into applications - Nice to Have, • Deploy and manage applications on AWS infrastructure, • Write comprehensive unit, integration, and end-to-end tests Mentorship & Collaboration • Mentor junior and mid-level developers, • Collaborate with product managers, designers, and stakeholders, • Participate in agile ceremonies and sprint planning, • Document technical designs and system architecture, • Share knowledge through tech talks and documentation Qualifications Required • Lead professional software development experience, • Strong proficiency in Python and at least one other backend language (Java/.NET), • Proven experience with React and modern frontend development, • Hands on AWS cloud experience, • Experience with Airflow or similar workflow orchestration tools, • Understanding of AI/ML concepts and integration patterns, • Strong problem-solving and debugging skills, • Excellent communication and collaboration abilities, • Bachelor's degree in computer science or equivalent experience Preferred • Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), • Knowledge of containerization (Docker, Kubernetes), • Experience with monitoring and observability tools (CloudWatch, Datadog, New Relic), • Familiarity with LLM integration (OpenAI, Anthropic Claude, AWS Bedrock), • Agile/Scrum experience

Overview We're seeking talented Performance Engineers with deep expertise in low-level systems optimization — specifically C++, Python, and Rust — to bring hands-on technical excellence and elevate the quality of our AI training and inference infrastructure data. Key Responsibilities - Guide res

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.About the Role: CoreWeave is seeking a passionate and innovative Software Engineer of Network Services to lead the architecture, scaling, and operations of our network services. You'll be tackling the complex challenges of building and operating world-class network services for the most demanding AI workloads on the planet. You will be focusing on achieving the highest levels of service quality, scalability and performance. You will also build comprehensive monitoring and alerting into our network services. You will work closely with your team to execute our network service roadmap, drive innovation, and ensure the reliability, security, and scalability of the CoreWeave Cloud Platform. Key Responsibilities • Develop, and maintain the network services infrastructure for our GPU cloud services, including networking cloud services, host networking, smart NICs, and overlay/underlay networks., • Collaborate with cross-functional teams, including DevOps, System Administrators, and Cloud Services teams, to ensure seamless integration of network datapath solutions., • Optimize host network performance, latency, and throughput to meet the demanding requirements of GPU-based workloads., • Implement and maintain network security protocols and best practices to protect customer data and infrastructure., • Participate in an on-call rotation, troubleshoot and resolve network-related issues, and provide timely support to the operations team., • Stay up-to-date with the latest networking technologies, industry trends, and best practices to continually improve our networking infrastructure., • Participate in code reviews, design discussions, and architecture decisions to ensure high-quality software development practices.Qualifications, • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field., • Experience (2+ years) as a Software Engineer, with a focus on networking and cloud infrastructure., • Expertise in network protocols, routing, and security (TCP/IP, BGP, kernel networking, etc.)., • Proficiency in programming languages such as Golang, Python, or C++., • Familiarity with software-defined networking (SDN) and network virtualization technologies., • Experience building and deploying k8s networking and infrastructure, CNIs., • Experience with k8s operators and controllers is a plus., • Excellent problem-solving skills and a proactive attitude towards troubleshooting and issue resolution., • Strong communication skills and the ability to collaborate effectively with cross-functional teams., • A passion for staying updated on emerging technologies and a commitment to continuous learning. The base pay for this position range from $110,000 to $176,000 accordingly. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position includes a discretionary bonus, equity, and a comprehensive benefits package. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. At CoreWeave, we don't box people into rigid job titles—we look for exceptional engineers and match them to the work that excites them most. Instead of measuring you against a narrow checklist of qualifications, we hire based on broad technical domains and use our interview process to determine where you'll have the biggest impact. Tell us what interests you most, and throughout the hiring process, we'll get a sense of your strengths, expertise, and aspirations. If you join CoreWeave, you'll land on the team where you can do your best work—driving innovation, solving complex problems, and shaping the future of cloud computing. What You'll Do: At CoreWeave, infrastructure isn't just a foundation, it's a product. We build scalable, high-performance computing systems that power the largest AI workloads in the world. We're looking for Engineers that thrive at the intersection of software and systems, deploying and managing large scale bare metal compute. Within this domain, you'll design and build software that manages complex infrastructure across globally distributed datacenters. Working in Go, Python/Ansible, deep in Linux environments, observability/monitoring stacks, and leveraging technologies like gRPC and Kubernetes CRDs/Controllers/Operators. Whether you're automating bare metal, building fleet lifecycle management services, solving multi-layer integration challenges, or observing our globally distributed fleet, your work will be critical to the company's delivery of reliable and efficient infrastructure. You'll join a high-performing, communicative, and supportive team, solving complex problems at hyperscale, deploying purpose built AI across the world. About the role: • Design and implement solutions to problems of scale for multi-site deployment and management of CoreWeave's global server hardware fleet., • Build and maintain backend services and APIs (gRPC/REST) in Go or Python to interact with Kubernetes and other infrastructure systems., • Develop provisioning services, automation workflows, and fleet management tools that span from bare metal to container orchestration., • Write and maintain Kubernetes custom controllers and operators to automate infrastructure behavior., • Design and implement observability solutions for large-scale server monitoring to improve system stability and insight., • Adapt and extend open source tooling to enhance visibility into system metrics, performance, and health., • Create test plans, deployment automation, dashboards, alerts, and insights into our fleet operations., • Resolve integration challenges across the entire infrastructure stack, from data center hardware to orchestration platforms., • Participate in an on-call rotation. Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we've found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you're excited to work on next. Who You Are Minimum Qualifications • 5+ years of experience in software or infrastructure engineering., • Proficiency in Go and/or Python software development., • Familiarity with CI/CD tools like Argo, Flux, and GitHub Actions., • Strong understanding of Linux internals., • Bachelor's degree in Computer Science, Engineering, or related field. Preferred Qualifications • Experience designing, implementing, and monitoring Kubernetes operators for custom resource definitions., • Experience with infrastructure automation and configuration management tools like Ansible, Puppet, Chef, Salt., • Experience with distributed cloud computing principles, including testing strategies, observability, error budgets, and fault-tolerant design., • Experience implementing metrics pipelines, custom alerts, and monitoring strategies., • Ability to break down complex problems into achievable tasks and collaborate with teammates to execute them., • Willingness and ability to thrive in a fast-paced startup environment. Examples of teams you might join at CoreWeave Fleet Provisioning Automation: Automation is key to delivering reliable GPU compute to clients. On this team you'll write Go microservices and extend Kubernetes custom resources and operators to deliver and monitor cutting-edge computing platforms. Ensuring new compute hardware is ready to deploy, and monitor existing hardware across our growing datacenter footprint. Fleet Monitoring & Analysis: Our customers's AI workloads push our physical infrastructure to the limit. This team is solving our fleet monitoring, visibility and self-healing problems at scale. We develop, collect and correlate metrics to engineer observability solutions, utilizing technologies like Go, Prometheus, Grafana, and Kubernetes. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base pay for this position range from $139,000 to $242,000 accordingly. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position includes a discretionary bonus, equity, and a comprehensive benefits package. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do: The Security Production Engineering team at CoreWeave is responsible for building, scaling, and maintaining the secure infrastructure that underpins our AI cloud platform. This team ensures the reliability, performance, and resilience of security systems across a rapidly growing global footprint, enabling safe and efficient operations for enterprise and AI workloads at scale. About the Role: As a Production Engineer, Security at CoreWeave, you will design, build, and operate the systems that keep our platform secure, reliable, and highly performant. You'll work closely with infrastructure and engineering teams to improve system resilience, automate operational processes, and proactively mitigate risks. Your day to day will include developing scalable security infrastructure, enhancing observability, and responding to production incidents while continuously improving system reliability and performance. In this role, you will: • Design, implement, and maintain scalable, highly available security infrastructure using Kubernetes and cloud native technologies, • Build automation and monitoring solutions to proactively identify and mitigate reliability risks, • Collaborate with engineering teams to optimize system performance, reduce latency, and improve service uptime, • Participate in incident response, conduct root cause analysis, and implement preventative solutions, • Mentor team members and promote best practices in reliability, security engineering, and infrastructure managementWho You Are:, • 5+ years of experience in site reliability engineering, DevOps, security engineering, security operations, or related roles, • Strong proficiency with Kubernetes, container orchestration, and cloud native technologies, • Experience managing and operating Teleport for infrastructure access control, • Proficiency in automation and scripting languages such as Python, Bash, or Go, • Experience operating and maintaining large scale distributed systems with a focus on reliabilityPreferred:, • Familiarity with observability platforms such as Prometheus, Grafana, or Datadog, • Experience working with cloud providers such as AWS, Azure, or GCP Wondering if you're a good fit? We believe in investing in our people and value candidates who bring diverse experiences, even if they don't meet every requirement. If some of the below resonates with you, we'd love to connect. • You enjoy solving complex infrastructure and security challenges at scale, • You're curious about improving system reliability, automation, and observability, • You have a strong ownership mindset and take pride in building resilient systemsWhy CoreWeave? At CoreWeave, we work hard, have fun, and move fast. We are in an exciting stage of hyper growth and building the infrastructure powering the next wave of AI. Our team embraces continuous learning, collaboration, and innovation to solve complex challenges at scale. Our core values guide how we work together: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best in Class Client Experiences, • Achieve More TogetherWe foster an environment that encourages independent thinking, collaboration, and the development of innovative solutions. You will work alongside some of the best talent in the industry and have opportunities to grow as we continue to scale. We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $190,000 to $282,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionSenior AI Engineer – Google AI & Generative Intelligence Job Title: Senior AI Engineer – Google AI & Generative Intelligence Location: Paramus, New Jersey (Hybrid) Duration: 6 Months Employment Type: Contract-to-Hire Position Overview We are seeking a highly experienced Senior AI Engineer with strong expertise in Google AI technologies, Generative AI, and cloud-native AI application development. The ideal candidate will bring 10–15 years of software engineering experience, including 5+ years focused on Artificial Generative Intelligence, building scalable AI systems, LLM/SLM applications, RAG architectures, and multi-agent solutions in production environments. This role requires deep hands-on experience with the Google AI ecosystem including Gemini, Vertex AI, Google Agent Development Kit (ADK), Google AI Studio, and Google Workspace integrations. Key ResponsibilitiesLarge & Small Language Model Engineering • Design, develop, and deploy AI agents leveraging commercial LLMs including:, • Gemini (Google), • GPT (OpenAI), • Claude Sonnet (Anthropic), • Work with open-source and self-hosted LLMs such as:, • Mixtral (Mistral AI), • Build lightweight SLM-based solutions using:, • Phi-3, • Gemma, • Mistral, • Fine-tune and customize models using:, • Vertex AI Tuning, • Hugging Face Transformers, • PEFT methods including LoRA and QLoRA, • Utilize frameworks such as:, • PyTorch, • TensorFlow, • JAX, • Perform synthetic data generation and model evaluations using:, • HELM, • lm-evaluation-harness, • Custom benchmarking frameworksGoogle AI & Workspace Integration, • Design AI-powered workflows integrated with:, • Google Workspace, • Google Docs, • Sheets, • Drive, • Gmail, • Meet, • BigQuery, • Lakehouse platforms, • Develop intelligent AI agents using Google Agent Development Kit (ADK), • Utilize:, • Google AI Studio, • VS Code, • Work extensively with Google Cloud Platform (GCP) services:, • Vertex AI, • GKE (Google Kubernetes Engine), • Cloud Run, • Cloud Functions, • Vertex AI Vector DatabasesAI Solution Design & Planning, • Lead requirements gathering and technical documentation using Confluence, • Create AI workflows and system architecture diagrams using Lucidchart, • Design UI/UX prototypes using Figma, • Manage Agile sprint planning and delivery using Jira, • Prepare, clean, and organize enterprise datasets for AI/ML workflows, • Conduct data analysis using Jupyter Notebooks and pandas, • Utilize Hugging Face Model Hub for model research and selectionDevelopment Frameworks & AI Tooling, • Build orchestration pipelines using:, • LangChain, • LlamaIndex, • LangGraph, • Develop multi-agent AI systems using:, • Semantic Kernel, • LangGraph, • Manage prompt engineering and observability using:, • LangSmith, • PromptLayer, • Deploy models locally using Ollama and at scale using vLLM, • Track experiments using:, • MLflow, • Weights & Biases, • Manage source control with GitVector Databases & RAG Architecture, • Build Retrieval-Augmented Generation (RAG) systems using:, • Vertex AI Vector DB, • ChromaDB, • Design enterprise semantic search and knowledge retrieval architecturesBackend Development, • Develop scalable RESTful APIs using:, • FastAPI (Python), • Express.js (Node.js), • Manage APIs using:, • MuleSoft, • ApigeeFrontend Development, • Develop modern AI-driven user interfaces using:, • React, • Angular, • Material-UI, • Collaborate on UI/UX workflows and prototyping using FigmaTesting, Quality & Observability, • Perform LLM and RAG evaluations using:, • RAGAS, • DeepEval, • LangSmith Evaluators, • Create unit tests using pytest, • Monitor model performance and hallucination detection, • Track AI infrastructure costs using:, • OpenMeter, • Custom dashboardsDeployment & Infrastructure, • Deploy AI systems using:, • Kubernetes, • Google GKE, • Build CI/CD pipelines using:, • GitHub Actions, • GitLab CI, • Support:, • Cloud deployments, • Hybrid deployments, • Edge AI inference environmentsRequired Qualifications, • 10–15 years of overall software engineering experience, • 5+ years of hands-on Generative AI experience, • Strong expertise with:, • Gemini, • Vertex AI, • Google ADK, • Google AI Studio, • Google Workspace integrations, • Strong Python development experience, • Familiarity with Node.js, • Experience with:, • RAG systems, • Multi-agent AI architectures, • LLM/SLM fine-tuning, • LoRA / QLoRA / PEFT, • AI evaluation frameworks, • Strong cloud-native development experience on GCP, • Experience with MLOps and AI CI/CD pipelinesPreferred Qualifications, • Google Cloud certifications such as:, • Professional ML Engineer, • Professional Cloud Architect, • Experience contributing to open-source AI/ML projects, • Experience with edge AI and hybrid cloud deployments, • Experience building synthetic data generation pipelines, • Prior mentoring or leadership experience within AI/ML teams For more details reach at resumes@navitassols.com

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.About the Role: SysEng HAVOCK (Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kernel) CoreWeave is looking for a Senior Systems Engineer who is ready to evolve beyond traditional DevOps. You will start by stabilizing and scaling our Linux OS and Kernel build pipelines. Once the foundation is set, you will lead the transition to AI-native infrastructure, building "smart" workflows that don't just report errors, but understand and fix them. You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale. Our Team's Stack: • Languages: Python, Go, bash/sh, • Observability: Prometheus, Victoria Metrics, Grafana, • OS & Kernel: Linux Kernel (custom build), Ubuntu, • Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs, • Containerization: Docker, Kubernetes (k8s), KubeVirt, containerd, kubelet Responsibilities: • Pipeline Architecture: Design, maintain, and automate reproducible OS image build pipelines for our massive fleet of GPU-accelerated servers., • Kernel Distribution: Collaborate with kernel engineers to package, validate, and distribute custom Linux builds across Intel, AMD, and ARM architectures., • Dependency Management: Build tooling to manage dependencies, versioning, and release workflows, ensuring hermetic builds., • Telemetry & Metrics: Standardize the collection of build metrics to create a baseline for future AI modeling., • "Smart" CI/CD & Auto-Remediation: Architect AI agents that ingest and analyze build logs in real-time. Develop systems that auto-triage errors, categorize failure patterns, and generate context-aware fix suggestions for engineering teams., • Predictive Regression Modeling: Design ML workflows that utilize historical performance data to detect kernel and OS regressions (latency, throughput, stability) in staging environments before they impact production., • Dynamic Kernel Tuning: Implement closed-loop feedback systems that analyze real-time system metrics and automatically suggest or apply sysctl parameter optimizations for specific customer workloads., • Next-Gen ChatOps: Engineer LLM-driven interfaces for Slack/internal tools, enabling stakeholders to query build statuses, request log summaries, or provision resources using natural language commands. Requirements: • 4+ years of professional experience in Linux Systems Engineering, Release Engineering, or DevOps., • Deep knowledge of Linux internals (boot process, kernel modules, networking stack)., • Experience with package management (Debian/Ubuntu) and build systems., • Strong proficiency in Python (essential for the AI integration aspects of this role)., • Demonstrable experience integrating API-based AI models (OpenAI, Anthropic, or local open-source models) into software workflows., • Understanding of RAG (Retrieval-Augmented Generation) architectures for querying technical documentation or logs., • Experience building event-driven automation (e.g., using webhooks to trigger analysis agents)., • Familiarity with data structures required for vector search or time-series analysis., • Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Nice-to-haves: • Experience with Kubeflow or MLFlow., • Background in High-Performance Computing (HPC)., • Experience fine-tuning small language models (SLMs) for code or log analysis tasks. The base salary range for this role is $153,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description AWS DevOps Engineer Locals only Min experience should be 10 years We are seeking a DevOps / SRE Engineer to design, build, and operate scalable AWS infrastructure with a strong emphasis on deployments, automation, and CI/CD. This role prioritizes enabling fast, reliable software delivery while maintaining high system availability and performance. You will work closely with development teams to streamline deployment pipelines, improve release velocity, and enforce infrastructure best practices. Responsibilities • Design, build, and manage AWS-based Linux infrastructure for scalable application deployments, • Own and optimize CI/CD pipelines to enable reliable, repeatable, and fast deployments, • Manage application releases, deployments, and rollback strategies across environments, • Automate infrastructure provisioning and application delivery using Infrastructure as Code, • Collaborate with development teams to improve build, test, and deployment workflows, • Troubleshoot deployment failures, pipeline issues, and production incidents, • Implement blue/green, canary, and rolling deployment strategies, • Maintain system reliability, monitoring, and alerting for production services, • Optimize performance, scalability, and cost of cloud infrastructure, • Enforce security best practices across infrastructure and deployment pipelines, • Maintain runbooks, deployment documentation, and operational procedures, • Participate in on-call rotation supporting production systems Required Skills • 5+ years of Linux system administration (RHEL, Ubuntu, Amazon Linux, Rocky/CentOS), • 3+ years of AWS experience (EC2, VPC, IAM, S3, EKS, ALB/NLB, CloudWatch), • Strong experience building and managing CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), • Hands-on experience with application deployments in cloud environments, • Proficiency in Bash and Python for automation, • Strong experience with Infrastructure as Code (Terraform preferred, CloudFormation acceptable), • Experience with containerization (Docker) and orchestration (Kubernetes/EKS), • Solid understanding of networking (TCP/IP, DNS, load balancing, firewalls), • Familiarity with observability tools (Prometheus, Grafana, ELK/OpenSearch, Datadog), • Experience implementing deployment strategies (blue/green, canary, rolling updates), • Strong troubleshooting skills across pipelines, infrastructure, and applications Nice to Have • Limited exposure to Windows environments Profile • Strong focus on automation, deployment efficiency, and developer enablement, • Comfortable working in fast-paced environments with frequent releases, • Collaborative mindset with strong communication across DevOps and engineering teams, • Ownership-driven with a focus on continuous improvement and operational excellence Other Details about the Job • Benefits are offered such as medical/dental/vision insurance and vacation time. 401k will be obtained as a benefit after 1 full year of service., • You will be placed at our Fair Lawn, NJ office, Please do not apply if you are not local or are not willing to relocate., • Compensation for Cloud System Admin will range from $90,000 to $120,000 based on experience, if your experience falls outside required ranges compensation may be based on other open roles. Powered by JazzHR Yc2tqWKrFD

Job Description Cloud System Admin We are seeking a DevOps / SRE Engineer to design, build, and operate scalable AWS infrastructure with a strong emphasis on deployments, automation, and CI/CD. This role prioritizes enabling fast, reliable software delivery while maintaining high system availability and performance. You will work closely with development teams to streamline deployment pipelines, improve release velocity, and enforce infrastructure best practices. Responsibilities • Design, build, and manage AWS-based Linux infrastructure for scalable application deployments, • Own and optimize CI/CD pipelines to enable reliable, repeatable, and fast deployments, • Manage application releases, deployments, and rollback strategies across environments, • Automate infrastructure provisioning and application delivery using Infrastructure as Code, • Collaborate with development teams to improve build, test, and deployment workflows, • Troubleshoot deployment failures, pipeline issues, and production incidents, • Implement blue/green, canary, and rolling deployment strategies, • Maintain system reliability, monitoring, and alerting for production services, • Optimize performance, scalability, and cost of cloud infrastructure, • Enforce security best practices across infrastructure and deployment pipelines, • Maintain runbooks, deployment documentation, and operational procedures, • Participate in on-call rotation supporting production systems Required Skills • 5+ years of Linux system administration (RHEL, Ubuntu, Amazon Linux, Rocky/CentOS), • 3+ years of AWS experience (EC2, VPC, IAM, S3, EKS, ALB/NLB, CloudWatch), • Strong experience building and managing CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), • Hands-on experience with application deployments in cloud environments, • Proficiency in Bash and Python for automation, • Strong experience with Infrastructure as Code (Terraform preferred, CloudFormation acceptable), • Experience with containerization (Docker) and orchestration (Kubernetes/EKS), • Solid understanding of networking (TCP/IP, DNS, load balancing, firewalls), • Familiarity with observability tools (Prometheus, Grafana, ELK/OpenSearch, Datadog), • Experience implementing deployment strategies (blue/green, canary, rolling updates), • Strong troubleshooting skills across pipelines, infrastructure, and applications Nice to Have • Limited exposure to Windows environments Profile • Strong focus on automation, deployment efficiency, and developer enablement, • Comfortable working in fast-paced environments with frequent releases, • Collaborative mindset with strong communication across DevOps and engineering teams, • Ownership-driven with a focus on continuous improvement and operational excellence Other Details about the Job • Benefits are offered such as medical/dental/vision insurance and vacation time. 401k will be obtained as a benefit after 1 full year of service., • You will be placed at our Fair Lawn, NJ office, Please do not apply if you are not local or are not willing to relocate., • Compensation for Cloud System Admin will range from $90,000 to $120,000 based on experience, if your experience falls outside required ranges compensation may be based on other open roles. Powered by JazzHR I1Diud668z

Job Description We are seeking a DevOps / SRE Engineer to design, build, and operate scalable AWS infrastructure with a strong emphasis on deployments, automation, and CI/CD. This role prioritizes enabling fast, reliable software delivery while maintaining high system availability and performance. You will work closely with development teams to streamline deployment pipelines, improve release velocity, and enforce infrastructure best practices. Responsibilities • Design, build, and manage AWS-based Linux infrastructure for scalable application deployments, • Own and optimize CI/CD pipelines to enable reliable, repeatable, and fast deployments, • Manage application releases, deployments, and rollback strategies across environments, • Automate infrastructure provisioning and application delivery using Infrastructure as Code, • Collaborate with development teams to improve build, test, and deployment workflows, • Troubleshoot deployment failures, pipeline issues, and production incidents, • Implement blue/green, canary, and rolling deployment strategies, • Maintain system reliability, monitoring, and alerting for production services, • Optimize performance, scalability, and cost of cloud infrastructure, • Enforce security best practices across infrastructure and deployment pipelines, • Maintain runbooks, deployment documentation, and operational procedures, • Participate in on-call rotation supporting production systems Required Skills • 5+ years of Linux system administration (RHEL, Ubuntu, Amazon Linux, Rocky/CentOS), • 3+ years of AWS experience (EC2, VPC, IAM, S3, EKS, ALB/NLB, CloudWatch), • Strong experience building and managing CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), • Hands-on experience with application deployments in cloud environments, • Proficiency in Bash and Python for automation, • Strong experience with Infrastructure as Code (Terraform preferred, CloudFormation acceptable), • Experience with containerization (Docker) and orchestration (Kubernetes/EKS), • Solid understanding of networking (TCP/IP, DNS, load balancing, firewalls), • Familiarity with observability tools (Prometheus, Grafana, ELK/OpenSearch, Datadog), • Experience implementing deployment strategies (blue/green, canary, rolling updates), • Strong troubleshooting skills across pipelines, infrastructure, and applications Nice to Have • Limited exposure to Windows environments Profile • Strong focus on automation, deployment efficiency, and developer enablement, • Comfortable working in fast-paced environments with frequent releases, • Collaborative mindset with strong communication across DevOps and engineering teams, • Ownership-driven with a focus on continuous improvement and operational excellence

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do We're seeking a talented and experienced Senior Engineer for Network Observability to join our Network Observability team. In this role, you will be a key player in designing, developing, and maintaining the monitoring, telemetry, and observability systems that keep CoreWeave's GPU cloud network operating reliably and at scale. You'll focus on building solutions that provide real-time insights into network performance, ensuring that issues are detected proactively and resolved quickly. Your mission? To empower CoreWeave's network with advanced observability: robust metrics, powerful analytics, and automated alerting—so well-tuned that any anomalies become clear before they ever impact our customers. • Develop, optimize, and maintain network observability platforms. Use your skills in Python and Golang to create and automate collectors, exporters, and dashboards that provide deep visibility into network health and performance., • Collaborate with Network Engineering and Platform teams to ingest and unify logs, metrics, and events from a variety of platforms (Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, SR Linux, etc.) into a single observability pipeline., • Design and implement scalable telemetry solutions using protocols like gNMI, SNMP, and streaming analytics. Ensure advanced alerting and anomaly detection with tools such as Prometheus, Grafana, and Alertmanager., • Work closely with network developers, site reliability engineers, and security teams to integrate observability solutions across the broader infrastructure. Participate in design discussions, RFCs, and architectural decisions., • Join a rotating on-call schedule to troubleshoot and resolve observability-related issues. Provide timely support to operations teams, quickly isolating and fixing problems when they arise., • Guide junior team members, share best practices, and foster a culture of continuous learning and improvement within the observability domain. Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we've found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you're excited to work on next. Who You Are Minimum Qualifications • Deep familiarity with Prometheus, Grafana, Alertmanager, gNMI, and SNMP. Experience writing or extending custom metric collectors/exporters is a plus., • Experience as a Network Engineer, SRE, Software Developer, or Systems Administrator in large-scale environments. A track record of building and operating robust telemetry and monitoring solutions is a plus., • Passion for automating tasks and processes. You find satisfaction in creating workflows that handle repetitive tasks and reduce human error to near zero., • Comfortable containerizing solutions in Kubernetes, designing, building, and deploying container-based workloads efficiently., • Proficient with Python, Go, and Bash, plus familiarity with configuration management and templating tools (e.g., Ansible, Jinja2). ., • Strong knowledge of Linux systems and IP networking concepts, with hands-on experience in routing, switching, and network troubleshooting., • Practical knowledge with a variety of platforms, including Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, and SR Linux., • Collaborative, humble, and always ready to help others while staying open to learning from more senior colleagues. Preferred Qualifications • College Education: Bachelor's degree in Computer Science or a related field., • Machine Learning for Anomaly Detection: Hands-on experience applying ML techniques or tools (e.g., TensorFlow, scikit-learn) to proactively detect performance or security anomalies in network traffic., • Network Certifications: Certifications like CCNA, CCNP, or similar., • Advanced Metrics & Analytics: Hands-on experience with data pipelines, event correlation, or anomaly detection in large-scale environments., • Distributed Tracing: Familiarity with OpenTelemetry, Jaeger, or Zipkin for end-to-end tracing across microservices and network components.Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY’s solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies. Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today’s data-rich world. ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy. Job Description: We are looking for an Application Site Reliability Engineer (SRE) with strong DevOps experience to improve the reliability, scalability, and performance of our applications. The Application Site Reliability Engineer will serve as a technical contact responsible for driving the reliability, performance, and operational maturity of our application ecosystem. This role works across multiple teams to support scalable systems, establish reliability standards, improve observability, and implement automation that reduces operational effort. The SRE will lead complex incident responses, work with engineering teams in best practices, and influence architectural decisions to ensure resilient, high-quality software delivery. You will help define reliability standards, reduce operational toil, and ensure smooth production operations while enabling faster and safer releases. Essential Duties & Responsibilities: • Own application reliability, availability, performance, and scalability in production and non-production environments, • Design, build, and maintain CI/CD pipelines for application deployments, • Automate infrastructure provisioning and configuration using Infrastructure as Code, • Monitor application health using metrics, logs, and traces; define SLIs, SLOs, and error budgets, • Lead incident response, root-cause analysis (RCA), ensuring corrective and preventive actions are completed and communicated., • Improve system resilience through capacity planning, system tuning, and fault tolerance, • Partner with development teams to ensure services meet reliability, performance, and scalability objectives., • Reduce manual operational effort through automation and self-healing solutions, • Serve as a point of contact for critical Sev1/Sev2 incidents, leading incident command when required. Qualifications: • Strong experience as an SRE, DevOps Engineer, or Production Support Engineer, • Solid understanding of Windows, Linux/Unix systems and networking fundamentals, • 7 years of experience as an SRE, • Hands-on experience with cloud platforms such as AWS, Azure, or GCP, • Experience with containerization and orchestration tools like Docker and Kubernetes, • Proficiency in CI/CD tools such as Jenkins, GitHub Actions, , or similar, • Experience with Infrastructure as Code tools like Terraform, CloudFormation, or ARM, • Strong scripting skills in Python, Bash, or similar languages, • Experience with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog, etc.), • Understanding of reliability concepts such as SLAs, SLOs, and incident management Preferred Qualifications • Experience supporting microservices-based architectures, • Knowledge of security best practices in cloud and DevOps environments, • Experience with configuration management tools (Ansible, Chef, or Puppet), • Exposure to chaos engineering or resilience testing practices Soft Skills • Strong problem-solving and troubleshooting skills, • Ability to work calmly during incidents and high-pressure situations, • Clear communication and collaboration with cross-functional teams, • Ownership mindset with a focus on continuous improvement What We Offer • Opportunity to work on highly available, business-critical applications, • Collaborative engineering culture with strong DevOps and SRE practices, • Competitive compensation and benefits, • Learning and growth opportunities in cloud, automation, and reliability engineering Benefits: ELLKAY offers a comprehensive and competitive benefit package that starts day one! Including: • Medical, Dental, and Vision benefits, • Employer-paid Life and LTD, • 401k w/ matching – once eligibility is met, • Work/life balance, • Paid Volunteer Program, • Flexible working hours, • Generous FTO, • Remote work options, • Employee Discounts, • Parental Leave Our awesome culture includes: • Working with talented, collaborative, and friendly people who love what they do, • Professional growth within, • Innovation environment, • On site in HQ Free daily lunches Additional information At ELLKAY, we are committed to operating as a hybrid workplace, offering employees flexibility in how they structure their time between in-office and remote work. We recognize the significance of fostering connections, collaboration, and creativity within our office culture and its positive impact on our business. Our philosophy of operating as a hybrid workplace underscores our dedication to enabling employees to tailor work-life balance to their individual preferences. For those who do not live within 40 miles of one of our offices, we are open to considering remote work for candidates whose skills and experience strongly align with the role. While we prioritize a hybrid work environment for most roles, we understand the importance of flexibility and are open to remote work for specific positions and specialized skill sets. For more information on our company, visit www.ELLKAY.com. ELLKAY LLC is a Smoke-Free Workplace. ELLKAY, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job Description Position Title: Sr AI Engineer Location: Paramus, NJ Duration: 06 Month Contract Status: Hybrid Employment Type: Contract role on W-2 through Above and Beyond Talent Acquisition, Inc. (A&B Talent) Pay Range: USD $135 an hour W2 Client Info / Who they are: Above and Beyond Talent Acquisition proudly represents our Client, a global leader in water, waste, and energy management. The client offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting, and resource recovery. The client helps commercial, industrial, healthcare, higher education, and municipality customers throughout North America. The client has approximately 10,000 employees working at over 350 locations across the continent. Requirements / Who we are looking for: • 10–15 years of overall software engineering experience., • 5+ years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems., • Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations., • Proficiency in Python (primary) and familiarity with Node.js., • Strong background in cloud-native development on GCP., • Demonstrated experience with model fine-tuning (LoRA, QLoRA, PEFT) and model evaluation frameworks., • Solid understanding of MLOps, CI/CD for AI systems, and production deployment best practices., • Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph., • Preferred Qualifications, • Google Cloud Professional certifications ( Professional ML Engineer, Professional Cloud Architect), • Contributions to open-source AI/ML projects., • Experience with edge AI deployments and hybrid cloud-edge inference., • Familiarity with synthetic data generation pipelines., • Prior experience mentoring junior engineers or interns in AI/ML domains. Performance Objectives / What you'll be doing: 1. Large & Small Language Model Engineering • Design, develop, and deploy Agents leveraging commercial LLMs such as Gemini (Google), GPT (OpenAI), and Claude Sonnet (Anthropic) for high-performance, large-context, and multimodal tasks., • Work with open-source/self-hosted LLMs including Mixtral (Mistral AI)., • Architect and implement SLM-based solutions using lightweight models such as Phi-3 (Microsoft), Gemma (Google), and Mistral for resource-constrained environments., • Lead fine-tuning and customization of models using Vertex AI Tuning, Hugging Face Transformers, and parameter-efficient fine-tuning (PEFT) methods including LoRA and QLoRA., • Apply training frameworks such as PyTorch, TensorFlow, or JAX for model experimentation and development., • Generate synthetic data and evaluate models using HELM, lm-evaluation-harness, and custom benchmarks. 1. Google AI & Workspace Integration • Lead the design and implementation of AI-powered solutions deeply integrated with Google Workspace (Docs, Sheets, Drive, Gmail, Meet), Big Query and Lakehouse., • Architect and build intelligent agents and workflows using Google Agent Development Kit (ADK)., • Leverage Google AI Studio as the primary IDE, VSCode for AI application development and prototyping., • Utilize Google Cloud Platform (GCP) services including:, • Vertex AI for ML model training, tuning, and deployment, • GKE (Google Kubernetes Engine) for container orchestration, • Cloud Run for serverless deployment, • Cloud Functions for event-driven AI tasks, • Vertex AI Vector DBs for semantic search and retrieval 1. Design & Planning • Lead requirements gathering using Confluence for documentation and team collaboration., • Create detailed system architecture diagrams and AI workflows using Lucidchart., • Design UI/UX prototypes in Figma for AI-powered application interfaces., • Manage project delivery and sprint planning using Jira., • Oversee data preparation and management: cleaning, transforming, and organizing data for AI/ML workflows., • Conduct data analysis using Jupyter Notebooks and pandas for exploration and preprocessing., • Leverage Hugging Face Model Hub for model comparison, selection, and download. 1. Development Frameworks & Tools • Orchestrate LLM/SLM applications using LangChain, LlamaIndex, and LangGraph., • Build multi-agent systems with Semantic Kernel, and LangGraph., • Manage and optimize prompts using LangSmith and PromptLayer., • Deploy models locally with Ollama or at scale with vLLM for efficient inference., • Track experiments, metrics, and results with MLflow or Weights & Biases., • Manage code and data versioning with Git. 1. Vector Databases & Semantic Search • Implement semantic search and Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Vector DBs and ChromaDB., • Design and optimize end-to-end RAG architectures for enterprise-grade knowledge retrieval. 1. Backend Development • Develop robust RESTful APIs using FastAPI (Python) or Express.js (Node.js)., • Manage and secure APIs using Mulesoft, Apigee. 1. Frontend Development • Build modern user interfaces using React or Angular., • Utilize Material-UI for consistent, accessible, and modern UI components., • Prototype and plan UI/UX workflows using Figma. 1. Development Tools & Code Quality • Write and debug code in VS Code with Python and GitHub Copilot extensions., • Leverage GitHub Copilot for AI-assisted code suggestions and productivity., • Manage source code with GitHub or GitLab., • Enforce code quality and standards using SonarQube, ESLint, and Pylint. 1. Testing & Quality Assurance • Conduct LLM-specific testing using RAGAS and DeepEval for LLM/RAG pipeline evaluation., • Use LangSmith Evaluators for prompt testing and hallucination detection., • Write and execute unit tests using pytest., • Ensure output quality and reliability using LangChain Evaluators and custom metrics. 1. Deployment & Infrastructure • Orchestrate containers at scale with Kubernetes (K8s), and Google GKE., • Automate CI/CD pipelines using GitHub Actions or GitLab CI., • Support on-premise, cloud (GCP/Vertex AI), and hybrid infrastructure deployments including edge devices for local inference. 1. LLM Monitoring & Observability • Monitor LLM performance and usage with LangSmith and Weights & Biases., • Track and optimize AI infrastructure costs using OpenMeter and custom dashboards., • Set up continuous evaluation pipelines to ensure ongoing model quality and reliability., • Monitor application and model performance end-to-end with LangSmith observability tools. Perks of working with US / What We offer: • Competitive Salary., • Health, dental, and vision insurance., • Company 401K plan The salary, other compensation, and benefits information are accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law. “Above and Beyond Talent is an equal opportunity employer and staffing firm.”

Job Description We are looking for a System Engineer with DevOps experience to join our team. The ideal candidate will have 2–3 years of experience in system administration, automation, cloud infrastructure, and deployment support, with hands-on experience in Kubernetes, Python, Helm, and Terraform. Key Responsibilities • Manage and support system infrastructure, servers, and environments., • Build and maintain CI/CD pipelines and deployment automation., • Work with Kubernetes to deploy and manage applications., • Develop automation scripts using Python., • Create and maintain Helm charts for application packaging and deployment., • Use Terraform to provision and manage infrastructure., • Troubleshoot system, application, and deployment issues., • Monitor performance, availability, and reliability of systems., • Collaborate with development, QA, and operations teams. Requirements Required Skills • 2–3 years of experience in system engineering, DevOps, or infrastructure support., • Strong hands-on experience with Kubernetes., • Proficiency in Python scripting., • Experience with Helm and Terraform., • Good knowledge of Linux systems and networking fundamentals., • Familiarity with Docker and cloud environments., • Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps., • Strong analytical and troubleshooting skills. Preferred Skills • Exposure to Azure, AWS or GCP., • Experience with monitoring tools like Prometheus, Grafana, Datadog, or ELK., • Understanding of infrastructure automation, containerization, and release management. Knowledge of security and access management best practices. Benefits • Comprehensive health coverage, including dental and vision, • 401(k) retirement plan, • Eligibility for annual performance bonuses

Job Description Role Overview: • Lead the design, development, and optimization of large-scale, reliable, and secure data pipelines and data lake architecture on AWS., • Architect and implement end-to-end data solutions, including data ingestion, storage, transformation, and analytics using AWS services (Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, RDS, etc.)., • Mentor and guide a team of data engineers, conducting code reviews and fostering best practices in data engineering and cloud architecture., • Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable and maintainable solutions., • Oversee migration of data from legacy systems to AWS-based data lakes and data warehouses., • Develop and enforce standards for data quality, security, and governance., • Drive the adoption of DevOps, CI/CD, and infrastructure-as-code practices within the data engineering team., • Ensure solutions are cost-effective, performant, and aligned with enterprise data strategy., • Stay current with advancements in AWS technologies and data engineering trends and evaluate new tools and frameworks for potential adoption., • Troubleshoot complex data issues and provide technical leadership in problem resolution. Key Responsibilities & Skillsets: • Common Skillsets:, • Superior analytical and problem solving skills, • Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision, • Good communication skill for client interaction Application development Skillsets: • Strong ability to debug complex data workflows, optimize application and ETL code, and automate data transformation processes, • Systematic, analytical problem‑solving approach with strong ownership over data quality, performance, and delivery, • Ability to quickly evaluate new AWS data and analytics services and determine fit for data pipelines or application architecture, • Hands‑on experience developing data workflows and infrastructure using IaC frameworks such as CloudFormation or Terraform (as needed), • Working knowledge of CI/CD pipelines primarily to support data application deployments (Jenkins, CodePipeline, etc.), • Proficient with Git for versioning data processing code, libraries, and application components, • Skilled in writing production‑grade code in Python, Bash, PowerShell, or similar languages, focusing on data processing and backend development, • Experience using Docker for packaging applications and data-processing workloads, with exposure to containerized data services (ECS, EKS, etc.), • Comfortable developing and troubleshooting in Linux environments, • Solid understanding of key AWS data services and application primitives such as S3, EC2, Glue, EMR, Lambda, RDS, DynamoDB, CloudWatch, and VPC networking concepts, • Strong knowledge of AWS security and IAM as it relates to data pipelines, encryption (KMS), secure data access (IAM roles/policies), and audit controls, • Hands‑on experience with ETL, distributed compute, and big data frameworks such as Spark, Glue, Hadoop/EMR, Impala, or similar tooling, • Deep understanding of relational databases, SQL optimization, and application‑to‑database interaction patterns, • Familiarity with log analytics and observability platforms (Splunk, ELK, Prometheus, Grafana) as they relate to monitoring data pipelines and applications Candidate Profile: • Bachelor's or Master's degree in Computer Science, Engineering, or a related field., • 10+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role., • Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.)., • Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus., • Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS., • Proven experience with ETL/ELT processes, data modeling, and big data frameworks., • Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment., • Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., CloudFormation, Terraform)., • Excellent problem-solving, communication, and organizational skills.

Job DescriptionDescription Who We Are: APC is a dynamic, growing international delivery and technology solutions provider. Established in 2001, APC has been simplifying international delivery for over 20 years, helping U.S. businesses build brands abroad, expand their consumer base, increase revenue, and their global reach. Our extensive, reliable worldwide delivery network and proprietary technology empower our brands to succeed. We are committed to expanding our footprint and continuously investing in innovative delivery and technology solutions as we aim to be the leading resource for cross-border solutions. About the Role: Reporting to the Head of Technology, the Data Architect / Lead Data Engineer will own the design, implementation, scalability, and business impact of APC’s data platform supporting a high‑volume, complex logistics operation. This is a hands‑on, senior technical role responsible for shaping how data flows from raw operational systems through trusted analytics and into production‑grade models that drive decision‑making across the business. You will lead the evolution of the data stack end‑to‑end, balancing architectural rigor with real‑world constraints such as imperfect data, operational urgency, and cost efficiency. Partnering closely with engineering, product, operations, finance, and leadership, you will translate complex business questions into durable data solutions that directly impact shipment performance, customer experience, pricing, and profitability. This role is well‑suited for someone who enjoys deep technical ownership, cross‑functional collaboration, and building systems that operate at scale in production environments. About the Candidate:You are a hands‑on, systems‑oriented data leader who enjoys working close to the business and taking ownership of complex, real‑world data challenges. You are comfortable operating at the intersection of architecture, engineering, analytics, and applied data science, and you thrive in environments where data is imperfect, scale is real, and impact is tangible. You bring a strong sense of accountability and technical judgment, with the ability to make thoughtful tradeoffs and move initiatives forward. You communicate clearly with both technical and non‑technical partners, build trust through reliability and transparency, and enjoy mentoring others while setting a high bar for data quality and engineering discipline. Key ResponsibilitiesData Platform & Warehouse Leadership • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts.Analytics Engineering & Business Enablement, • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust.Applied Data Science & Advanced Analytics, • Develop and product-ionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Mentor engineers and analysts, lead design reviews, and set pragmatic standards balancing speed, reliability, and cost. Key Responsibilities:Data Platform & Warehouse Leadership • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts., • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust., • Develop and productionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Mentor engineers and analysts, lead design reviews, and set pragmatic standards balancing speed, reliability, and cost. Skills, Knowledge and Expertise • 8+ years of experience in data engineering, analytics engineering, or applied data science roles, with demonstrated ownership of production data systems., • Proven experience designing and operating a scalable data warehouse or analytics platform in a production environment., • Advanced SQL expertise, including query optimization, indexing and partitioning strategies, dimensional modeling, and slowly changing dimensions., • Strong experience building and maintaining data pipelines using modern data tooling and orchestration frameworks., • Proficiency in Python or a similar language for data processing, modeling, and automation., • Experience working with large‑scale, high‑volume operational datasets and managing data quality in real‑world conditions., • Strong systems thinking and the ability to design for reliability, performance, and cost control., • Demonstrated ability to translate business problems into effective technical solutions., • Experience in logistics, e‑commerce, supply chain, fulfillment, or adjacent domains is strongly preferred. Core Competencies Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiencesManages Complexity: Making sense of complex, high quantity, and sometimes contradictory informationBusiness Insight: Applying knowledge of business goals and the marketplace to advance the organization’s goalsFinancial Acumen: Interpreting and applying understanding of key financial indicators to make better business decisions

Job Description Role Overview: • Designing, building and maintaining efficient, reusable, and reliable architecture and code., • Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS ,etc.), • Ensure the best possible performance and quality of high scale data engineering project, • Participate in the architecture and system design discussions, • Independently perform hands on development and unit testing of the applications., • Collaborate with the development team and build individual components into complex enterprise web systems., • Work in a team environment with product, production operation, QE/QA and cross functional teams to deliver a project throughout the whole software development cycle., • Responsible to identify and resolve any performance issues, • Keep up to date with new technology development and implementation, • Participate in code review to make sure standards and best practices are met. Key Responsibilities & Skillsets: • Common Skillsets:, • Superior analytical and problem solving skills, • Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision, • Good communication skill for client interaction Application development Skillsets: • Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience., • Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises., • Programming experience with Python, Shell scripting and SQL., • Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc., • Solid experience implementing solutions on AWS based data lakes., • Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, Elasticsearch., • Serverless application development using AWS Lambda., • Experience in AWS data lake/data warehouse/business analytics., • Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS., • Knowledge of ETL/ELT., • End-to-end data solutions (ingest, storage, integration, processing, access) on AWS., • Architect and implement CI/CD strategy for EDP., • Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)., • Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift., • Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift., • Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case., • AWS Solutions Architect or AWS Developer Certification preferred., • Good understanding of Lakehouse/data cloud architecture. Candidate Profile: • Bachelor's or Master's degree in Computer Science, Engineering, or a related field., • 7+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role., • Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.)., • Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus., • Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS., • Proven experience with ETL/ELT processes, data modeling, and big data frameworks., • Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment. Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., CloudFormation, Terraform). Excellent problem-solving, communication, and organizational skills.

Job Description WHO WE ARE Parse Biosciences is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, our pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system. Founded based on a transformative technology invented at the University of Washington, Seattle-based Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis. THE PRODUCT We've built the most popular, freely available cloud-based platform for single cell RNA sequencing data analysis - Trailmaker. Trailmaker allows anyone to easily turn their single cell datasets into meaningful biology. With >1200 monthly active users from top tier research institutions across the world, we're offering a rare opportunity to join our team and change the world by building tools that help to improve human health. The user requirements for Trailmaker dictate a unique set of technical challenges. Handling big data files, running custom data processing pipelines, on-the-fly computation, and providing interactive data visualisations with millions of data points are just some of the challenges our team is busy with! THE POSITION As a Bioinformatics Engineer II within the Trailmaker development team, you will play a key role in guiding the technical direction of the platform while contributing hands-on across the full stack. You'll collaborate closely with other engineers to architect and build new features that drive user engagement. This is a highly collaborative environment with no division between backend, frontend or testing roles - each engineer contributes to any part of the codebase and is responsible for the entire development process from work planning, through implementation and writing tests to completing the feature. YOU CAN EXPECT • An agile, diverse and multidisciplinary team., • A supportive, inclusive and transparent working environment where teammates learn from and help each other all the time., • A place to look at things differently, challenge and offer solutions., • A small team environment where you will have the opportunity to make a significant impact by actively driving change in technology, processes and culture., • A fast-paced environment of continuous improvement, optimised for impact. IN THIS POSITION, YOU WILL This position is for full time, 100% remote work. We would expect you to: • Always put the user first., • Design, prototype, develop, and test new computational pipelines and visualizations for single cell data analysis in Trailmaker., • Continuously iterate and improve existing single cell pipelines and features., • Receive and incorporate feedback from customers and colleagues., • Perform troubleshooting of customer analyses., • Keep up-to-date on the rapidly evolving field of single cell genomics and relay observations of new methods, benchmarking studies, etc. to the team., • Experiment, test, try, fail and learn continuously., • Think like an owner, and take pride in your work., • Help and mentor teammates. FOR THIS POSITION, WE LOOK FOR • Someone excited about building tools that will be used by thousands of single cell researchers., • A track record of designing, building and improving data analysis software that solves user problems., • A degree in bioinformatics (or similar) and 3+ total years of experience working in bioinformatics engineer roles. Additional experience (5+ years) is necessary to be appointed at Bioinformatics Engineer II level., • Fluent in Python and R., • Practical experience of working with open source single cell data analysis tools and packages, including Scanpy and Seurat., • Competency working with container-based cloud applications, ideally on AWS., • Strong data visualization skills., • Significant experience in conducting code reviews and providing feedback to others., • Experience and desire to work as part of a close-knit team., • Experience using version control systems such as Git/GitHub is preferred., • Proficiency building pipelines with Nextflow or similar frameworks is preferred., • Experience of integrating AI tools into development workflows is preferred., • Knowledge of and/or interest in web development is preferred., • Experience working with Bash is preferred. JOB CONDITIONS • This position is home office based and will require a reliable internet connection and suitable workspace to fulfill job duties effectively. Laptop and any other essential technical/home office equipment will be provided., • Regular communication and collaboration with team members will occur virtually through Zoom meetings, Slack instant messaging/huddles, and email. Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law. As part of our commitment to fairness and inclusion, we do not use artificial intelligence or automated systems to screen job applications. Every application is reviewed by a member of our hiring team to ensure that hiring decisions are made thoughtfully and equitably. To meet the health and wellness needs of our team, Parse offers a comprehensive benefits package for all full time employees, including: • Medical, dental, vision, and Rx (prescription) coverage beginning on the 1st day of the month following your start date. Parse covers 90% of the monthly premiums for employees, and 60% for dependents., • A 401(k) program with no waiting period to participate, • Basic life insurance and short and long-term disability coverage. Monthly premiums for both are covered at 100% by Parse., • Flexible spending account (FSA) options for medical, dependent care, and commuter expenses, • A transportation program (Seattle only), • 12 paid holidays annually and a winter holiday break, • A generous time off policyMarket Pay Range - Exact compensation offered will be determined based on the candidate's education, experience, skills, and geographic location, and may vary for candidates in regions with significantly different market conditions.$100,000—$135,000 USD

This includes curating code examples, providing precise solutions, and making corrections across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node. What Does a Typical Day Look Like?Work on AI model training initiatives by curating code examples, building solutio

A leading blockchain technology company is seeking a Senior Site Reliability Engineer to build and maintain an observability platform.The ideal candidate will have over 7 years of relevant experience, a strong DevOps mindset, and proficiency in programming languages such as Python, Go, or C++.Respon

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below. What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the Role As a Bare Metal Support Engineer, you will be responsible for supporting, operating, and maintaining CoreWeave's extensive GPU fleet across our growing data centers in the U.S., Europe, and beyond. You will work closely with customers, data center technicians, and engineering teams to ensure the reliability, performance, and scalability of our infrastructure. In this role, you will: • Provide high-level support for customers utilizing bare-metal GPU fleets on CoreWeave Cloud., • Diagnose, triage, and investigate reported customer issues and high-priority incidents, identifying root causes and escalating when necessary., • Develop a deep understanding of customer workloads and use cases to provide tailored technical support., • Coordinate remote troubleshooting and hardware interventions with Data Center Technicians., • Create and maintain internal documentation, including troubleshooting guides, best practices, and knowledge base articles., • Participate in an on-call rotation to support production clusters and ensure operational reliability., • Collaborate with engineering teams to improve hardware reliability, software stability, and system performance., • Implement automation and scripting to streamline support workflows and reduce manual interventions., • Perform in-depth log analysis and debugging across multiple layers of the stack (firmware, drivers, hardware)., • Provide feedback to internal teams on common support issues to drive continuous improvements., • Work with networking teams to troubleshoot connectivity issues affecting customer workloads., • Support supercomputing infrastructure running GPU workloads at scale., • Drive operational excellence by refining internal processes and support methodologies. Who You Are: • Experience in data centers, GPU clusters, server deployments, system administration, or hardware troubleshooting., • Demonstrated experience driving resolutions and continuous improvements across cross-functional environments and teams within a data center environment., • Intermediate knowledge of Linux (Ubuntu, CentOS, or similar), including command-line proficiency., • Experience with NVIDIA GPUs, SuperMicro systems, Dell systems, high-performance computing (HPC), and large-scale data center environments., • Experience in networking fundamentals (TCP/IP, VLANs, DNS, DHCP) and troubleshooting tools., • Hands-on experience with firmware updates, BIOS configurations, and driver management., • Experience analyzing system logs and debugging issues across firmware, drivers, and hardware layers., • Experience working with Jira, Confluence, Notion, or other issue-tracking and documentation platforms., • Experience in scripting and automation (Python, Bash, Ansible, or similar). Wondering if you're a good fit? We believe in investing in our people and value candidates who bring unique backgrounds—even if you don't check every box. Here are a few qualities we've found make someone successful on our team. If some of this describes you, we'd love to talk. • You're curious about Kubernetes, Docker, and containerized infrastructure, • You have strong problem-solving skills with a proactive and analytical mindset., • You have excellent communication skills and a demonstrated ability to work collaboratively in a fast-paced environment. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $83,000 to $132,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Background in mentoring or leading small engineering teams. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Design, implement, and maintain scalable back-end and full-stack applications using Python, Rust, GoLan

Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling.

Learn more at About the Role As a Senior Software Engineer within our Compute Architecture organization, you will help build the software control plane for hardware lifecycle management across large-scale GPU data centers. This is a software-first role at the intersection of distributed systems, pro

Responsibilities - Manage client relationships and drive operational improvements - Work with cross-functional teams to improve service delivery - Uphold standards of quality and integrity in every deliverable What You Must Have - Bachelor's Degree - 6 years of experience in data science/machine lea

Demonstrated ability to lead engineers, make architectural decisions, and communicate design concepts clearly — in writing, design reviews, and real-time discussions with engineers at all levels. Paramount is looking for a Lead Software Engineer to join our Web Engineering organization. You'll spe

Python / Golang and Kubernetes. We’re looking for a Software Engineer to join our Airflow Infra team, part of Astro, our flagship cloud platform. Engineer backend services with high quality, maintainable and well tested code.

FS Python – Python, Fast API, React, Django, Flask, Java Script, AWS. Python: Advanced proficiency in Python development, including frameworks like Flask/FastAPI/Django. Strong proficiency in Python and at least one other backend language (Java/.

Engineers, Economists, Computer Scientists, Mathematicians, Physicists,. Write production-level code and partner with machine learning engineers to push. Partner with machine learning engineers to productionized machine learning.

Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Partner with machine learning engineers to productionize AI solutions. Partner with software engineers to integrate solutions with business platforms.