Trabajos azure en San Francisco, CaliforniaCrear alertas

Job Description Apiphani is a technology-enabled managed services company dedicated to redefining what it means to support mission-critical enterprise workloads. We're a small but rapidly growing company, which means there's lots of room for growth and learning opportunities abound! Apiphani is dedicated to creating a diverse and inclusive work environment for all as a fundamental component of our business. Diversity and inclusion are the bedrock of creativity and innovation. Without diversity of experience and thought, we would fail to progress as a company and as a team. Apiphani strives to foster an environment of belonging, where every employee feels respected, valued, and empowered. We embrace the unique experiences, perspective, and cultural background, which only you can bring to the table. Position Summary The Territory Sales Executive is a quota-carrying, geographic-territory role responsible for driving new revenue across a defined regional territory of ICP-aligned target accounts within Apiphani's core vertical markets. This role owns the full account and opportunity lifecycle, from account planning through negotiation and close, across SAP consulting, migration, and Day 2/managed services engagements. The ideal candidate is a consultative, quota-proven seller who can efficiently cover a broad territory of accounts across multiple verticals and reposition legacy managed-services conversations as agentic AI-enabled transformation. Requirements • 5+ years of quota-carrying transformation and operations/Day 2/Managed Services sales experience, • Proven track record carrying a $3M quota, with demonstrated history of exceeding quota (top 10–20% of company) in prior roles, • Strong SAP domain expertise (both technical and relationships) in regulated industries such as Energy/Utilities, Oil & Gas, Transportation, Industrial Manufacturing, Aerospace & Defense, Telecommunications, Pharmaceuticals, • Demonstrated ability to target, engage, and manage a geographic territory of ICP-aligned targets focused on our core vertical markets, • Proven track record identifying, engaging, sustaining, and closing large, complex annuity-based deals in excess of $3M TCVKey Responsibilities Revenue & Pipeline Ownership • Drive new revenue at prospective and existing accounts within an assigned territory, selling across the SAP consulting, migration, and managed services marketplace, • Own the entire account and opportunity sales cycle end-to-end, for both short- and long-term engagements, • Build and execute a predictable closing plan; negotiate and close complex managed services engagements, • Maintain rigorous CRM hygiene and leverage automation for timely, accurate pipeline and sales-cycle management, • Qualify key clients and opportunities across the territory against a well-defined ICP Territory & Account Management • Develop and maintain account plans, Win Themes, relationship maps, and competitive landscaping across a portfolio of ICP-aligned accounts within the assigned territory, • Operate with an account-focused sales approach rather than a transactional/opportunity-driven one, • Balance efficient coverage of a broad territory with a longer-term account growth vision, while meeting near-term revenue and profitability targets Positioning & Storytelling • Act as a natural storyteller, translating a customer's critical business and technology issues into profitable migration and agentic-led managed services opportunities using a consultative/solution-selling methodology, • Creatively construct value propositions customized to each client's specific goals, objectives, and constraints, • Reposition traditional managed-services conversations as platform-led, agentic AI sales — articulating how Apiphani's proprietary AI engine, Luumen, captures existing ECC processes and carries institutional knowledge into the Day 2 S/4HANA environment, • Build business cases grounded in future-state efficiency and knowledge continuity, appropriate to selling an emerging solution category, rather than point-in-time cost comparisons, • Structure both combined migration-and-Day-2 engagements and standalone migration deals designed to convert into long-term managed-services relationships via an embedded AI-driven capability Cross-Functional Collaboration • Work closely with Apiphani Alliances and Marketing to align on current market differentiators, partner capabilities, and offerings, and to drive exponential revenue growth, • Leverage AI tools (Claude, Gemini, Perplexity, etc.) to accelerate internal and external sales processes, deliverables, and value propositions, • Use account intelligence platforms (Draup, ZoomInfo, etc.) to understand key account initiatives, constraints, and core strategies, and convert that intelligence into strategic account plansQualifications & Skills, • Working technical fluency in SAP ECC-to-S/4HANA migration concepts, Day 2 managed services, and applied AI/automation — sufficient to engage IT and business stakeholders as a credible technical counterpart, • Strong knowledge of SAP, Red Hat, AWS, Azure, Google Cloud, and ServiceNow, • Thrives with autonomy; operates with the highest level of integrity while thinking big and embracing ambiguity and challenges, • Strong territory-management discipline: ability to prioritize a volume of ICP-aligned accounts and manage a full, active pipeline across the regionRole Details / Logistics, • Location / Work Model: Remote, based within assigned regional territory, • Travel Expectation: ~50–70% travel within territory, • Reporting Structure: Reports to VP of Sales Base Salary $160,000—$180,000 USD Company Benefits*, • Medical/dental/vision - 100% paid for employees, 50% paid for dependents, • Life and disability - 100% paid for employees, • 401K - 3% contribution, no employee contribution necessary, • Education and tuition reimbursement, • Accident, critical illness, hospital indemnity benefits offered through our providers, • Employee Assistance Program, • Legal assistance, • Paid Time Off - up to 6 weeks per year, • Sick Leave - up to 2 weeks per year, • Parental Leave - up to 12 weeks *Benefits listed in the job description apply to employees working in the United States. For international employees, Apiphani partners with an Employer of Record, Deel, and provides all statutory benefits required under local law; certain U.S.-specific programs (such as EAP, legal assistance, etc.) may not be available outside the United States. The specific benefits package will be outlined in the local employment agreement issued through Deel.

Job DescriptionAbout the Company Our client is a fast-growing, Series A legal AI company building automation for plaintiff law firms, covering medical chronologies, demand letters, and medical record retrieval. The platform serves personal injury, medical malpractice, workers' compensation, and SSDI practices, with a roadmap extending into adjacent data-intensive sectors including eDiscovery, healthcare, and insurance. About the Role We are hiring AI Product Engineers to design, build, and iterate on the company's core AI-driven software. This is a high-ownership role at the intersection of engineering and product, where you will work directly with customers to translate real-world legal workflow problems into technical solutions that ship. The team is moving fast and needs engineers who can drive quality and innovation from day one without waiting for a playbook. What You'll Own • Build and enhance the company's AI-driven software, owning quality, scalability, and performance end-to-end, • Collaborate directly with sales and engineering to understand customer needs and translate them into shipped product, • Own product testing, debugging, and optimization to ensure seamless user experiences, • Support technical implementation and troubleshooting during customer onboarding and integration, • Maintain technical documentation of designs, processes, and systems as the product evolvesRequirements Must-Have • 2–4 years of software engineering experience, ideally with SaaS or AI-driven products, • Strong proficiency in Python, JavaScript, or other relevant programming languages, • Familiarity with AI frameworks, machine learning concepts, and cloud platforms such as AWS, Azure, or Google Cloud, • Proven ability to navigate ambiguity, proactively innovate, and deliver practical solutions in a fast-paced startup environment, • Strong communication and collaboration skills, with the ability to partner effectively across teams Nice-to-Have • Experience working at a legal tech, healthtech, or other document-intensive SaaS company, • Background building or iterating on AI pipelines for document processing or information extractionKey Details, • Location: San Francisco, CA (in-person), • Employment: Full-time, • Experience: 2–4 years, • Salary: $200,000 – $300,000 USD per year, plus equity, • Visa Sponsorship: Available (H-1B, OPT)Benefits & Perks, • Comprehensive medical, dental, and vision, • Competitive equity, • Significant career growth at a rapidly scaling AI startupInterview Process, • Intro call (30 min), • Technical interview with the hiring manager and a lead engineer (1.5 hours), • Paid in-office work trial (1–2 days), • Offer

Job Description Senior Identity and Microsoft 365 Systems Engineer Type: Contract, W2 (approximately 6 months) Location: San Jose, CA (Onsite) Salary: $85 – $105 per hour, DOE About the Role This Senior Identity and Microsoft 365 Systems Engineer role runs identity, access, and collaboration platforms for a regulated utility's enterprise IT team, onsite in San Jose, CA. We are partnered with California's largest regulated water utility to staff a senior engineer for an approximately six-month assignment. The focus is identity and access management across Active Directory, Microsoft Entra ID, and Okta, plus Microsoft 365 administration, with Azure, virtualization, storage, and backup as secondary scope. The ideal candidate has run enterprise identity and Microsoft 365 environments end to end, works well in an audit-conscious setting, and can mentor other administrators. This is a W2 contract position, placed on assignment with our client. Relocation required if not within commuting distance of San Jose. Key Responsibilities Identity and Access Management • Administer Active Directory, Microsoft Entra ID, and Okta Identity Cloud, including user lifecycle management, access controls, Single Sign-On (SSO), Multi-Factor Authentication (MFA), identity governance, privileged access management, and authentication policies., • Configure and maintain identity federation and directory integrations between Active Directory, Entra ID, Okta, and third-party applications using SAML, OAuth, OIDC, and SCIM., • Implement and maintain identity security controls aligned with Zero Trust Architecture, cybersecurity standards, regulatory requirements, and company policies., • Monitor identity, authentication, and access activity; investigate incidents and implement corrective actions., • Lead IAM initiatives, including application onboarding, access modernization, authentication enhancements, and identity lifecycle automation. Microsoft 365 Administration • Administer and support Exchange Online, SharePoint Online, Microsoft Teams, and related collaboration technologies., • Manage Microsoft 365 security, compliance, mail flow, collaboration, and governance configurations., • Integrate Microsoft 365 with Entra ID, Okta, and other enterprise applications, and optimize the environment for availability, performance, security, and user experience. Azure Cloud Infrastructure • Design, implement, and support Azure and hybrid cloud infrastructure, including networking, compute, storage, identity, security, and connectivity services., • Monitor and optimize cloud resources for performance, availability, security, and cost, and support cloud migrations, modernization, and infrastructure automation. Servers, Storage, and Backup • Administer and support VMware and virtual server environments, Storage Area Network (SAN) infrastructure, and backup and recovery systems., • Support business continuity and disaster recovery, including Azure Backup, Azure Site Recovery, recovery testing, and disaster recovery planning., • Install, maintain, troubleshoot, and optimize server, storage, virtualization, networking, and security infrastructure. General • Document identity, Microsoft 365, cloud, server, and infrastructure configurations and procedures., • Research emerging technologies, recommend enhancements, and lead infrastructure projects of moderate complexity and scope., • Support compliance with Sarbanes-Oxley (SOX), cybersecurity, and other regulatory requirements., • Provide technical leadership, mentoring, and operational guidance to Network Administrators and other IT staff, and participate in Continuous Improvement initiatives. Qualifications Required • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience., • Five years of experience administering enterprise identity management, Microsoft 365 services, and infrastructure platforms., • Strong experience with Active Directory, Microsoft Entra ID, Okta, IAM solutions, MFA, SSO, identity governance, and directory services., • Experience administering Microsoft 365 services, including Exchange Online, SharePoint Online, and Microsoft Teams., • Experience supporting Microsoft Azure and hybrid cloud environments., • Experience supporting virtual server, backup, storage, and disaster recovery technologies., • Excellent verbal and written communication skills., • Proficiency in Microsoft Office applications., • Valid California Driver's License. Preferred • Relevant Microsoft, Okta, Azure, and identity or security certifications; Azure Administrator (AZ-104), Network Engineer (AZ-700), or Security Engineer (AZ-500) Associate desired., • Networking and security certifications such as CCNP, CCIE, CISSP, or PCNSE., • Experience with network monitoring tools and software., • Knowledge of cloud networking and security. Compensation & Employment Employment Type: Contract, W2, placed on assignment with our client. Salary: $85 – $105 per hour, DOE Estimated Duration: Approximately 6 months Benefits: Medical, dental, vision, and 401(k) with employer match. Work Model: 100% onsite at our client's San Jose office; not eligible for remote or hybrid work. Innovation Consulting LLC is an equal opportunity employer and recruiter. We review candidates without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic.

Job Description SRE with AI Automation SFO, CA • Deep SRE Expertise. 6 years of hands-on SRE, DevOps, or Production Engineering experience in high-scale digital applications, with a strong understanding of reliability principles and operational excellence., • Cloud-Native Technical Skills. Strong exposure to Azure AKS, Kubernetes, Docker, Service Mesh, and API-driven architectures, with operational support experience for React front-end and Spring Boot microservices in production environments., • Observability and Automation Mastery. Hands-on experience with observability tools (Dynatrace, Splunk, Grafana, Prometheus) and strong scripting abilities (Python, Bash, PowerShell, YAML) to build automation that reduces toil and improves incident response., • Incident Management Excellence. Proven experience in incident management, root cause analysis, and implementing permanent corrective actions that drive long-term reliability improvements., • CI/CD and Platform Knowledge. Experience with SRE principles, CI/CD pipelines (Jenkins, GitHub Actions), and cloud platforms (Azure required; AWS/GCP/OCI a plus)., • Analytical Problem-Solver. Strong analytical and problem-solving abilities with clear communication skills under pressure, a collaborative mindset, and passion for reducing toil while improving developer and operator experiences

Job Description At Orchard, we’re securing America’s food supply by building the AI Farmer that automates our nation’s farms. We are the industry leader, growing rapidly, and backed by more than $25 million from leading investors, including Quiet Capital, Shine Capital, and General Catalyst. Every year, hundreds of billions of dollars in crop value are lost because critical farming decisions are made using incomplete and imprecise data. We’re building the technology to change that. Our AI-powered camera systems mount to tractors and scan millions of trees, vines, and plants, capturing precise data on yield estimates, fruit size, crop health, disease, and more. We train edge vision AI models that analyze every plant and determine exactly what interventions and treatments it needs. That intelligence flows into FruitScope OS, our farm-management platform, where growers can understand their crops, make better decisions, and direct operations in the field. Today, Orchard’s technology is trusted by some of our nation’s largest farms. They use our products to grow higher-quality crops while reducing chemical use and operating costs, helping them farm more profitably and sustainably than ever before. Our Culture: Unshakeable Resilience – Our customers feed millions of people, and our customers depend on us. We are ultra-hardworking, never give up, and we do whatever it takes. Always Keep Moving – We move fast, waste no time, and have an extreme bias towards action. Progress compounds every day, and our impact is measured in decades. Improve Everything – At 1% success, we save millions of pounds of food from going to waste. If we are 100% successful we will impact the lives of billions of people across the world. Farmers First – Every team member spends at least a few days in the fields with our farmers each month. No Job Beneath Us – We’re low ego, own every outcome, and are all working towards the same goal. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. We are looking for a Senior Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. About the role: Full-time, 5 days a week, in-person role at our San Francisco, CA office Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium We move fast, and sometimes this means staying late or working weekends Our team is close-knit & highly driven, you’ll work directly with our CEO and entire team We’re deeply motivated by the impact we’re making – every line of code written or new system built means less food that goes to waste, and more people who are fed. What you’ll do: Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms. Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems. Develop, deploy, and monitor infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices. Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance. Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems. Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features. Be a generalist, supporting different parts of our software stack as needed. What makes you a good fit: 5+ years of experience building production-grade data pipelines and ML infrastructure. Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch). Strong experience with data engineering tools (e.g., Pandas, SQL, Apache Airflow, Spark). Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Experience working with massive amounts of real-world training data. Familiarity with MLops software and data engineering to ensure consistent deployment of ML models. Ability to work independently, learn quickly, and operate in a dynamic environment Enthusiasm for taking on multiple roles and responsibilities as our company grows. Bonus Points: Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson Experience prototyping, evaluating, or deploying new ML/CV models on the edge. If you're looking to help make a positive impact in the world by building the future of farming, come join us! Compensation Range: $150K - $265K

Job Description Septerna is a biotechnology company based in South San Francisco, CA on a mission to develop life-changing medicines for patients with the vision to become the industry-leading G protein-coupled receptor (GPCR)-focused drug discovery company. The company's Native Complex Platform™ recapitulates GPCRs with their native structure, function, and dynamics outside of the cellular context. This approach enables novel access to modern structural and screening technologies used in industrial-scale drug discovery for the entire class of GPCRs. Septerna has an emerging pipeline of GPCR-targeted small molecule programs, many in the Endocrinology space, with potential for growth to target many GPCRs that have been undruggable and unexploited to date. We are excited to expand our multidisciplinary team of individuals focused on creating revolutionary medicines to address the unmet needs of patients. At Septerna we strive to embrace diversity of thought, expertise, and background through collaboration. To join our ambitious team, be prepared to bring your real self to work every day; grow and learn from a talented team of drug hunters, scientists, and business professionals; and contribute your passion, creativity, and energy to accomplish our mission. We share a fearless pursuit of ground-breaking innovations and cultivate an environment where our employees succeed by learning from each other and working as a team. We are committed to the development of meaningful therapeutics for patients with indications of high unmet need. This is a tremendous opportunity to work with talented individuals on the frontlines of therapeutic discovery and development. You will directly help move therapies through preclinical research, positioning them for success in the clinic. The successful candidate will add their passion, unique talents, and expertise to a dynamic team motivated to discover new disease-modifying therapeutics for patients in a fast-paced environment. For more information see: www.septerna.com. The Role: Septerna is seeking an experienced scientific leader with expertise in AI/ML to lead our Data Science function. The successful candidate will implement advanced machine learning and statistical approaches to leverage Septerna's proprietary GPCR structural and assay data in advancing our small-molecule drug discovery programs. This is a visionary, hands-on leadership role that requires a strong understanding of our internal data assets, modern drug discovery practices, and advanced computational methods. This leader will create and execute a strategy for fully leveraging Septerna's proprietary data, while collaborating closely with Computational Chemistry, Structural Biology, and other cross-functional research teams to accelerate hypothesis generation and advance scientific discovery. The ideal candidate brings technical depth in machine learning, practical expertise in statistics, a strong scientific foundation in drug discovery, and the leadership capability to build a high-impact function in a fast-moving environment. Key Responsibilities • Lead Septerna's Data Science team, providing technical direction, developing team capabilities, and integrating and prioritizing projects, with a primary focus on machine-learning applications., • Develop and execute a roadmap for implementing state-of-the-art AI/ML approaches that use Septerna's GPCR structural data to discover and refine novel chemical matter., • Identify productive emerging technologies; lead their integration into Septerna's computational stack through internal development, strategic partnerships, or a combination of both., • Oversee and extend analysis pipelines, including DNA-encoded library (DEL), high-throughput screening (HTS), and assay-data workflows, and identify opportunities to advance Data Science as part of the broader Platform development team., • Advance and support ML-QSAR models leveraging internal and external assay and ADMET data to impact the efficiency of DMTA cycles and as a basis for generative chemistry workflows., • Refine data-engineering and cloud-infrastructure requirements while establishing best practices for data curation and model validation. Required Qualifications • PhD in computational biology, computational chemistry, or a degree in computer science, applied mathematics or statistics that was focused on modeling biological systems., • Minimum of 10+ years of relevant industry experience including application of machine learning to diverse scientific problems., • Demonstrated leadership in machine learning for drug discovery, with a track record of building and applying predictive models to real-world, noisy, and multimodal scientific datasets., • Experience applying co-folding or hybrid models to enable productive ligand pose prediction ideally on membrane proteins and flexible protein classes., • Previous work transfer learning or fine-tuning foundation models and using appropriate metrics to demonstrate model performance improvements and characterize applicability domain., • Experience leading teams and serving as the senior technical lead of cross functional initiatives with track record of applying technical insight and scientific judgement to guide research strategy. Technical and Platform Requirements • Expertise in scientific machine-learning and drug discovery dependencies such as PyTorch, scikit-learn, numpy, pandas, pyarrow, and RDKit., • Deep knowledge of modern machine-learning and statistical methods, including gradient boosting decision trees (XGBoost, LGBM), graph neural networks (GNN/D-MPNN), transformers, generative modeling, active learning, and Bayesian optimization., • Extensive experience with cloud and distributed computing environments, including AWS, GCP, or Azure, as well as building and maintaining containerized machine-learning workflows., • A strong track record in MLOps and in partnering with software and platform engineering teams to define fit-for-purpose infrastructure for scientific applications. Preferred Qualifications • Experience with molecular property prediction, generative chemistry, graph neural networks, protein–ligand modeling, sequence modeling, or physics-informed machine learning., • Hands on structure-based drug discovery and experience collaborating closely with Computational Chemistry teams., • Publications, patents, or open-source contributions in relevant scientific or machine-learning domains. The anticipated salary range for candidates who will work in South San Francisco, CA is $240,000 - $300,000. Individual pay may vary based on additional factors, including, and without limitation, job-related skills, experience, work location and relevant education or training. Septerna's compensation package also includes benefits, stock options, and annual target bonus for full-time positions. We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. Note to Employment Agencies: Please do not forward any agency resumes. The company will not be responsible for any fees related to resumes that are unsolicited. Note to Employment Agencies: Please do not forward any agency resumes. The company will not be responsible for any fees related to resumes that are unsolicited. We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. Septerna participates in the E-Verify program. California Consumer Privacy Act Privacy Notice For Job Applicants. If you are a California resident, click here for our CCPA Notice.

Job Description We are seeking an experienced AI / GPU Infrastructure Operations Architect with one of our client to support deployment, operations, troubleshooting, and reliability of enterprise AI infrastructure. The role will focus on Linux-based infrastructure, Kubernetes and container platforms, networking, automation, monitoring, and operational support of AI/GPU environments. The engineer will work closely with infrastructure, network, DevOps, cloud, security, and engineering teams to maintain platform availability, resolve complex infrastructure issues, perform root cause analysis, and improve operational reliability. Job Description: Key Responsibilities AI / GPU Infrastructure Operations Support day-to-day operations of AI infrastructure and GPU-based platforms. Perform infrastructure health checks, validation, troubleshooting, and operational readiness activities. Troubleshoot infrastructure issues across compute, operating system, network, container, and platform layers. Support workload onboarding and platform configuration. Participate in incident resolution and infrastructure remediation. The existing AI Factory JD specifically identifies exposure to AI Infrastructure or GPU-based platforms as a preferred capability. Linux Administration Administer enterprise Linux environments including RHEL, Rocky Linux and Ubuntu. Troubleshoot OS, kernel, storage, networking, services, and application-related issues. Perform patching, upgrades, security hardening, and vulnerability remediation. Monitor system performance, capacity, and availability. Perform log analysis and troubleshoot recurring infrastructure issues. Manage system services, access, file systems, LVM, and packages. Kubernetes & Container Platform Administer and support Kubernetes environments. Support cluster deployment, upgrade, scaling, and maintenance activities. Troubleshoot Pods, Deployments, StatefulSets, Services, Ingress, Storage Classes, Persistent Volumes, and Namespaces. Investigate container runtime and orchestration issues. Maintain platform availability through proactive monitoring and health validation. Networking Troubleshoot infrastructure and Kubernetes network issues. Analyze TCP/IP connectivity, routing, DNS, load balancing, firewall, and ingress issues. Perform network validation and performance testing. Work with network teams on complex connectivity incidents. Perform packet-level troubleshooting when required. Internal AI Factory discussions also call out TCP/IP, VLANs, routing, link health, MTU, DNS/NTP, packet troubleshooting, fabric/GPU/host correlation, latency, throughput, packet loss, congestion, and configuration drift. Automation & Scripting Develop Shell/Bash scripts for infrastructure and operational automation. Automate health checks, monitoring, reporting, log collection, and remediation activities. Support CI/CD and Infrastructure-as-Code initiatives. Identify opportunities to eliminate repetitive manual activities. Python scripting knowledge is desirable. Incident / Problem / Change Management Provide advanced technical support for infrastructure incidents. Resolve service disruptions within defined SLAs. Perform detailed Root Cause Analysis and implement preventive measures. Support production changes, validation, maintenance, and rollback activities. Act as an escalation point for operational issues. Monitoring & Reliability Support monitoring dashboards, alerts, and operational reporting. Analyze platform trends and identify reliability improvements. Reduce recurring incidents through automation and platform optimization. Support observability and proactive monitoring initiatives. Skill Requirements: Strong Linux administration: RHEL / Rocky Linux / Ubuntu Kubernetes administration and troubleshooting Docker / container runtime knowledge TCP/IP, DNS, routing, switching and load-balancing fundamentals Shell/Bash scripting Linux performance and log analysis Incident management and RCA Git/version control Infrastructure monitoring and troubleshooting The existing JD specifically calls for production Kubernetes experience including architecture, networking, storage, RBAC, pod lifecycle and cluster upgrades. Other Requirements: AI Infrastructure / GPU platform exposure NVIDIA/GPU infrastructure concepts Prometheus / Grafana / Splunk / Datadog / Dynatrace Ansible / Terraform AWS / Azure / GCP CI/CD and DevOps practices Infrastructure-as-Code Experience working in large-scale production environments

Job Description Blue Matter is a rapidly growing management consultancy focused on the biopharmaceutical industry. We partner with clients to help them achieve commercial success across the lifecycle of their products, portfolios, and organizations. Blue Matter is hiring for the Technology and Operations Practice within the Blue Matter Insights Team. Our Technology & Operations practice integrates strategy, data, and AI to deliver scalable, technology-enabled solutions for BioPharma Clients. The practice has developed a category-defining platform called Twine™— an AI-first customer intelligence platform purpose-built for life sciences that is already seeing strong traction in the market. The successful candidate will play a direct role in shaping, enhancing, and scaling Twine as a core capability within our portfolio. As an AI Engineer / Senior AI Engineer, you will work across Blue Matter as a technical expert in AI and emerging technologies, playing a key role in designing, building, and deploying AI-powered solutions for both internal teams and clients. You will be at the forefront of integrating APIs, building proof-of-concepts (POCs), developing internal applications, and creating client-facing tools and services. This role is ideal for someone who is passionate about staying current with the rapidly evolving AI landscape and eager to apply cutting-edge techniques to solve real-world problems in life sciences. Primary Responsibilities As a key member of cross-functional client-facing teams, develop and execute project plans to support initiatives that include, but are not limited to: • Design, develop, and deploy AI/ML solutions and Generative AI applications to support commercial data and analytics for life sciences companies, • Integrate third-party AI APIs into internal and client-facing applications to deliver intelligent, scalable solutions, • Build proof-of-concepts (POCs) and rapid prototypes to demonstrate the value of AI-driven approaches for product launch analytics, drug discovery, patient analytics, and data operations, • Develop and maintain internal tools and applications that streamline workflows, automate operational processes, and enhance team productivity using AI, • Build client-facing tools and services that leverage AI to deliver actionable insights, interactive dashboards, and intelligent recommendations, • Utilize cloud-service providers (e.g., AWS, Azure, or GCP) to build and deploy scalable AI solutions, • Collaborate with onshore/offshore teams to ensure timely, high-quality deliverables, providing technical guidance and code reviews, • Design and implement data pipelines and ETL processes to support AI model training, fine-tuning, and inference workflows, • Investigate and evaluate emerging AI frameworks, tools, and models to continuously improve the team’s AI capabilities and stay ahead of industry developments, • Contribute to Blue Matter’s Internal platform rollout and other AI-powered product initiatives in client environments, • Address client questions, gather requirements, and deliver AI-powered solutions aligned with business goals, • Ensure project success through effective collaboration and meeting deadlines using agile delivery model, • Stay current with the latest advancements in AI/ML, LLMs, prompt engineering, RAG, agents, and related technologies, and evangelize best practices across the organization Desired Experience and Skills • Hands-on experience building AI/ML applications, including working with LLMs, Generative AI, and NLP frameworks, • Strong proficiency in Python and experience with AI/ML libraries and frameworks, • Proven experience integrating AI APIs into production-grade applications, • Experience building and deploying internal tools and applications, • Ability to build client-facing tools and services that are reliable, user-friendly, and production-ready, • Expertise in building proof-of-concepts (POCs) and rapid prototypes to validate AI-driven solutions, • Experienced with cloud platforms (AWS, Azure, GCP) and services, • Proficient in API development and version control, • Expertise in SQL, Python, and databases, • Familiar with data pipeline tools and data warehouse technologies, • Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and AI agent frameworks, • Strong knowledge of AI safety, responsible AI practices, and model evaluation techniques, • Knowledge of US pharma datasets and healthcare concepts is a plus, • Strong problem-solving, communication, and client-facing skills, • Proficient in Agile/Scrum and project management tools, • Genuine passion and curiosity for ongoing AI development, with a demonstrated habit of learning and experimenting with new AI tools, models, and techniques, • Excellent communication and presentation skills (internal and client facing) Preferred Qualifications: • Advanced degree(s) (PhD, MD, MBA, or MS) in Computer Science, AI/ML, Data Science, or a related field, • 4+ years of AI/ML engineering experience (AI Engineer) or 6+ years (Senior AI Engineer), including client-facing roles experience, • Demonstrated ability to integrate business and industry knowledge in developing creative AI solutions, • Active contributions to open-source AI projects, personal AI projects, or published research in AI/ML, • Passion for Generative AI and its applications in life sciences and healthcare Compensation: Base salary range: $120,000 - $170,000 per year. Generous incentive compensation structure. Benefits Package: • 401k - generous employer match with immediate vesting and financial planning resources, • Comprehensive medical, dental and vision coverage options effective day 1 of employment, • Flexible spending account (FSA) or Health Savings Account (HSA), • Company paid insurances including Short- and Long-Term Disability and Life insurance as well as additional voluntary options, • Paid parental leave for all new parents, • Health & Wellness Benefit (e.g., gym memberships; $1000 reimbursement annually), • Employee Assistance Program, • Generous paid time off including vacation, sick days, floating and company holidays Blue Matter is an equal opportunity employer and does not discriminate against otherwise qualified applicants on the basis of race, color, religion, ancestry, age (40 and over), sex (including gender identity, sexual orientation and pregnancy), national origin, disability, marital status, parental status, genetic information, political affiliation, protected veteran status, or any other characteristic protected by law. Please note: we only email from @bluematterconsulting.com or our JazzHR applicant system. Every open role is listed at bluematterconsulting.applytojob.com, and we never ask for payment, banking details, or equipment purchases. Powered by JazzHR YFln9UxC3u

Job Description JD Responsibilities: Develops strategy to execute Azure Cloud Engineering. Develops and implements standards and best practices as it relates to cloud solutions. Leads efforts to provision infrastructure using infrastructure as code tooling ( using Terraform, ARM etc) Leverages automation to monitor and orchestrate client environments. Implements Cloud standards, DevOps / CICD tool chain and Standard Operating Environment (SOE). Supports business requirements by conducting business needs assessments and analysis. Keeps up with patches and updates to enable new functionality and address vulnerabilities. Conducts research on emerging technologies in support of cloud and infrastructure development efforts and recommends technologies that will increase cost effectiveness and infrastructure flexibility. Works with Kubernetes, Docker, and other container technologies. Deploys all Azure PaaS services (APIM, AKS, AppService, FrontDoor etc.). Qualifications: 5 years professional experience with Bachelors degree 5 years experience as an Azure cloud engineers supporting higher level PaaS services, network, and surrounding technology Strong written and verbal communication skills. Azure cloud engineer focusing on IaC and PaaS Services (AKS, AppService etc.) - Terraform experience is a must-have. Interview process will have coding review and code sample creation. Focused experience and knowledge on Kubernetes and Azure Kubernetes services is a huge plus as this position will be primarily dealing with Kubernetes every day Azure certification is highly desired AKS certification (CKAD) and HCI (Azure stack) experience preferred Strong communications / interpersonal skills. Excellent troubleshooting skills. Solid understanding of Azure public cloud platform. Knowledge of software development life cycle. Knowledge of programming languages and web- based technologies. Strong analytical and critical thinking skills. Broad knowledge of cloud computing concepts and solutions. Knowledge of infrastructure management within a cloud environment. Knowledge of cloud delivery models. Knowledge of Web services, API Gateway, Elastic/Network Load Balancers, ACA, policy framework, cache services, security framework etc Proficiency in modern software architecture using CI/CD, DevOps, Scalability, API first strategy and etc. required.

Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the Scientific Decision Engine for enterprise R&D. Powered by Mithrl-1, a biomedical world model grounded in validated biology, it turns raw reads into defensible, auditable decisions, accelerating R&D cycles by 32X on average. By combining experimental data with Mithrl’s knowledge graphs, it identifies novel drug targets, uncovers clinically meaningful biomarkers, decodes mechanism of action, and interprets results in the context of pathways, known biology, and published literature. Our traction speaks for itself: 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring Forward Deployed Engineers to partner directly with our customers and help them deploy, integrate, and operationalize the Mithrl platform inside their private cloud environments. FDEs sit at the intersection of engineering, customer success, and solutions architecture. You will work hands-on with customer IT, security, data, and R&D teams to set up secure cloud environments, configure integrations, troubleshoot technical challenges, and ensure Mithrl becomes a seamless part of their discovery workflow. This role requires strong software engineering fundamentals, deep comfort with cloud infrastructure, and excellent problem solving skills. You will work very closely with customer teams to design deployment architectures, automate provisioning steps, validate platform functionality in their environments, and ensure that their scientific teams can begin using Mithrl without friction. If you enjoy solving hard and novel problems in real customer environments, working across cloud infrastructure and product engineering, and being part of the customer’s journey from day one, this role is an ideal match. WHAT YOU WILL DO Deploy Mithrl into customer private clouds including AWS, Azure, or GCP Work directly with customer IT and security teams to configure networking, IAM, private subnets, secure VPCs, and data access patterns Build integrations between customer systems and Mithrl APIs for data ingestion or workflow automation Validate deployed environments through functional, performance, and scientific smoke tests Troubleshoot infrastructure, deployment, and connectivity issues in real customer environments Implement automation and internal tools that make deployments faster, more reliable, and more repeatable Serve as a technical advisor to customers during onboarding and through early product adoption Document deployment guidelines, architecture templates, and integration playbooks Collaborate with Mithrl platform engineering, DevOps, and ML teams to resolve issues and drive improvements Ensure that deployments meet customer security standards and internal best practices WHAT YOU BRING Required Qualifications Strong experience with cloud environments such as AWS, Azure, or GCP Experience configuring VPCs, IAM, networking, private endpoints, and secure infrastructure setups Software engineering fundamentals and proficiency in Python or a similar language Experience with container technologies and orchestrators such as Docker, ECS, EKS, or Kubernetes Ability to diagnose and resolve issues involving networking, storage, compute, and configuration Experience working directly with external stakeholders in highly technical environments Excellent problem solving skills and the ability to adapt quickly in complex customer deployments Strong communication skills and ability to build trust with customer teams Nice to Have Experience integrating ML or data heavy platforms into enterprise environments Experience with Terraform or CloudFormation Experience with secure data environments, regulated R&D teams, or biotech customers Familiarity with scientific computing or R&D workflow tools Experience writing internal tools, automation scripts, or lightweight backend services WHAT YOU WILL LOVE AT MITHRL High ownership and impact: You will work directly with leading pharma and biotech organizations on real deployments. You will solve complex problems across cloud, networking, security, and systems engineering. You will have enormous ownership over how Mithrl operates in customer environments Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast and improve continuously based on real user feedback Location: Beautiful SF office with a high-energy, in-person (5 days/week) culture Benefits: Comprehensive health coverage (medical, dental, and vision) + 401(k) with top-tier plans HOW WE HIRE Our process is designed to give you a real feel for working at Mithrl, and to give us the same for working with you: Intro call with our recruiting team Technical interview focused on practical coding and problem solving Onsite with the team: a deep dive on past work and a collaborative system design session Conversation with our CEO about the product and the problems we’re solving We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $180K - $220K

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We're working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we're looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We're working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people's lives. Responsibilities: • Build data processing and exploration pipelines along with ML infrastructure to power our intelligence, • Deploy a range of cloud-based technologies for critical projects, • Write, test, instrument, and deploy code to our Kubernetes environment, • Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: • 5+ years of professional software development experience with a focus on Python and big data technologies, • Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies, • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms, • Experience with containerization technologies like Docker and/or Kubernetes Preferred Qualifications: • 8+ years of professional software development experience, with a focus on Python and big data technologies, • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience, • Experience with data integration tools like Apache Kafka, Flume, and NiFi, • Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB, • Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks As part of our team you'll enjoy: • Competitive compensation, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan The US base salary range for this full-time position is $170,000-$240,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. #LI-Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: As the Principal Systems Software Architect, you will serve as the visionary lead for Crusoe’s next-generation AI infrastructure. This is a role for an industry-recognized expert who has already "seen the movie" at hyperscale and is ready to redefine the I/O path for the age of generative AI. You aren't just building a cloud; you are designing the fluid fabric that unifies Bare-Metal-as-a-Service (BMaaS), Intelligent IaaS, and Elastic CaaS into a single, high-performance pool of intelligence. In this position, you will bridge the gap between silicon and software, advising executive leadership on critical hardware/software co-design pivots while remaining hands-on enough to lead elite R&D teams in shipping production-grade kernel and orchestration code. We are looking for a master of the I/O path who can push massive-scale training workloads to the theoretical limits of hardware. This is a full-time position. What You’ll Be Working On: Unifying Infrastructure Pillars: Bare-Metal-as-a-Service (BMaaS): Architect systems that deliver raw GPU throughput via zero-latency InfiniBand/RDMA fabrics for massive-scale training. Intelligent IaaS: Design highly optimized, thin virtualization layers using KVM or custom micro-VMs to provide enterprise-grade isolation without the "virtualization tax." Elastic CaaS: Build a high-performance container substrate (utilizing Kubernetes or Slurm) that allows AI workloads to burst and scale across heterogeneous GPU nodes. Mastering the I/O Path: Lead the architectural design of our internal cloud fabric, drawing on experience from top-tier hyperscalers to drive the technical roadmap for SR-IOV, RDMA, and virtualized GPU scheduling. Advanced R&D Leadership: Lead elite workstreams to prototype and productionize novel methods for managing memory, networking, and compute that don't yet exist in standard cloud distributions. Technical Strategy & Documentation: Draft white papers and RFCs that define the next two years of Crusoe’s compute and networking stack. High-Level Debugging: Work alongside Staff and Senior engineers to resolve complex race conditions in the I/O path and optimize kernel-level memory pinning for GPU clusters. Industry Influence: Represent Crusoe in open-source communities and industry forums to influence the global direction of cloud-native AI infrastructure. What You’ll Bring to the Team: Hyperscale Provenance: 12+ years of experience designing and shipping core infrastructure at a major hyperscaler (e.g., OCI, AWS, Azure, GCP) or a specialized HPC cloud. Deep Systems Authority: Authoritative knowledge of the Linux kernel, virtualization internals (KVM, QEMU, Firecracker), and high-performance networking (RoCE v2, InfiniBand). Hardware-Software Co-Design: Proven ability to design software that maximizes the performance of NVIDIA/AMD GPUs and high-speed NICs. R&D Leadership: Experience leading cross-functional teams through high-ambiguity projects and delivering production-ready, mission-critical systems. Industry Contributions: A portfolio of significant contributions to the field, which may include patents, major open-source contributions, or published research in distributed systems. Communication Mastery: The rare ability to explain the nuances of memory-mapped I/O to an engineer and the business value of a new fabric architecture to the Board. Mandatory Education: A Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related analytical field (or equivalent professional experience). Bonus Points: Patent Holder: Possession of patents related to network virtualization, GPU scheduling, or distributed file systems. Open Source Leadership: Maintainer status or significant contributions to the Linux Kernel, Kubernetes, or specialized HPC projects. AI/ML Workload Expertise: Direct experience optimizing infrastructure for Large Language Model (LLM) training and inference at scale. Peer-reviewed publications at top systems venues (OSDI, SOSP, NSDI, SC), patents, IETF RFCs Significant open-source contributions, or industry white papers on distributed systems, high-performance networking, or AI infrastructure Benefits Competitive compensation Restricted Stock Units Paid time off & paid holidays Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Compensation Range $260,000 - $340,000 + Significant Equity & Bonus. Compensation is determined by the applicant's depth of expertise, previous impact at scale, and alignment with our architectural goals. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Primary Skills: AWS (advanced), Azure (advanced), Program Management (advanced), Cloud Infrastructure (advanced), Infrastructure as Code (intermediate) Contract Type: W2 Duration: 12 Months Location: Oakland, CA Pay Range: $80 to $90/hour on W2 This role will spearhead strategic cloud transformation programs across multi-cloud and hybrid environments, focusing on critical areas like image factory management and automated patching. The individual will lead complex initiatives from inception to deployment, collaborating with various technical and business teams to achieve objectives. Success will be driven through agile practices, automation, and continuous improvement. Key Responsibilities: • Lead enterprise cloud transformation programs., • Define program strategy, roadmap, and success metrics., • Ensure end-to-end execution of cloud initiatives., • Drive implementation of image lifecycle solutions., • Oversee automated patching across cloud platforms. Must-Have Skills: • Cloud Program and Portfolio Management expertise., • Strong understanding of AWS, Azure, and hybrid cloud., • Experience leading large-scale cloud transformation programs., • Experience in managing enterprise-scale cloud programs spanning AWS, Azure, and hybrid environments is required. ABOUT AKRAYA Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)! Industry Leaders in Tech Staffing As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

Job DescriptionTitle- Senior Microservices Developer Location- Oakland, CA Job InformationJob Taxonomy:Senior Software Engineer - 03460Job Title:Senior Microservices DeveloperJob Category:EngineerJob Description:The Software Engineer will help support and build the Modernized Microservices Applications Suite. Along with writing effective code, the position will be responsible for designing, building, delivering and maintaining a highly scalable set of products and applications. The incumbent will use industry best practices and work collaboratively with cross-functional team of product managers, architects, principal engineers, software engineers, test automation team and DevOPS engineers Responsibilities: • Design, develop, test and maintain microservices to support our consumer facing applications., • Write highest quality code with utmost attention to scalability, security and performance. Use TDD and participate in code-reviews with other software engineers., • Collaborate with DevOps team to setup the build and delivery pipeline. Add instrumentation and monitoring to support production environments. Build Docker containers and container management., • Accurately scope effort, identify risks and clearly communicate trade-offs with team members and other stakeholders., • Ship high quality products and features with an end-to-end mindset from conception to delivery and production support; owning specifications, quality, release deployments and monitoring of production health.Skills/Experience:Minimum Qualifications, • 4 w/Bachelors degree Additional Experience • Experience designing and developing highly scalable and secure Applications and Products, • BS in computer science or equivalent technical field or equivalent work experience., • MS is a plus., • Experience with developing and deploying applications on Azure or similar cloud platform Knowledge, Skills, Abilities · • Ability to understand business plans and apply that information into the development of an IT business case, • Anticipates problems, resistance or likely objections and takes action to resolve them, • Ability to guide, train and mentor associate engineers, • Highly skilled in developing quantitative cost/benefit analysis to measure improvements, • Proficient in organizational processes as well as capable of assessing and initiating change of such processes, • Demonstrates an in-depth knowledge and application of competency and can consult as well as lead others in its application, • Strong communication (written and verbal) and presentation skills, • Knowledge of agile development methodologies, • Ability to develop and maintain key vendor relationships with a focus on technology currency and best practices, • Life-long learner, process improver

Job DescriptionAbout the Company Our client is a fast-growing, venture-backed enterprise AI company headquartered in Silicon Valley. Its platform turns enterprise use cases into tailored, production-ready AI solutions in days rather than months. It partners with large global enterprises through an outcome-based commercial model and is now building senior sales leadership across the US to drive its next phase of growth. About the Role We are looking for an Executive GM, West to build and lead the company's western US enterprise sales organization. You will lead a team of Regional GMs selling to technology, media, and manufacturing customers, driving revenue through consultative, outcome-driven enterprise sales. This is a high-impact, greenfield leadership role with direct access to the founding team. Key Responsibilities • Build, manage, and develop a team of Regional GMs, setting a high bar for discovery, multi-threaded engagement, and enterprise deal management., • Define regional priorities and prospecting motions across large enterprise accounts., • Coach the team to engage C-suite, product, and innovation leaders in parallel., • Establish the company's presence in key West Coast enterprise communities and partner ecosystems., • Share regional market insights to shape pricing, product positioning, and industry narratives., • Partner with Revenue Operations to set targets for the wider team., • Travel regularly (30–40%) for customer meetings, executive sessions, QBRs, and industry events.Minimum Qualifications, • 10+ years as an enterprise sales leader at B2B SaaS or AI companies., • Proven experience selling complex B2B SaaS and AI solutions to C-suite and technology-driven enterprise buyers., • Track record of closing enterprise deals of $1M+ ACV., • Experience coaching and developing a team of around 5 sellers on the West Coast, including joining client visits., • Experience working with RevOps to set targets for a wider team., • Ability to travel 30–40%., • Authorized to work in the US without sponsorship.Preferred Qualifications, • Experience at a high-growth startup (up to Series C), or early tenure at a leading AI, data, or enterprise software company., • A career path that progressed from quota-carrying enterprise AE to sales leader., • Experience building a region or sales team from scratch., • Background selling into technology, media, or manufacturing enterprises., • Experience working with SI, consulting, or hyperscaler partners (AWS, Azure, GCP)., • An established network within West Coast enterprise communities.Why Join, • Greenfield opportunity: Build the West region and shape its go-to-market from the ground up., • Founder access: Work directly with the founding team in a fast-moving environment., • Outcome-based model: A commercial approach designed to make enterprise deals easier to close., • Strong momentum: Solid investor backing and fast commercial traction., • Rewarding compensation: $450K–$500K OTE with uncapped accelerators, plus equity.

Job Description The Role: As a Machine Learning Systems Administrator / DevOps Engineer, you will maintain and build the core infrastructure behind both our model training and our inference cloud. You’ll split your time between our large-scale training clusters and the deployments and services that run our models in production on heterogeneous compute, which spans multiple accelerator types and vendors. You’ll work closely with our training, inference, and product teams to keep these systems reliable, secure, and fast. You’ll also lay the groundwork for workflows that can scale with us. You’ll Work Across: Training clusters Administration and automation of our Linux-based cluster environments User onboarding/offboarding, access control, and security auditing Monitoring system resources, job scheduling, and cluster health Bring-up and validation of new hardware (compute, networking, storage) Supporting and improving developer workflows (e.g., VSCode remote development, Docker) Enabling and supporting large-scale training jobs Inference cloud Deploying, operating, and scaling inference services across heterogeneous accelerators Managing container orchestration, CI/CD, and rollout pipelines for model deployments Building observability for production services, including metrics, logging, alerting, and dashboards Owning service reliability: uptime, incident response, and postmortems Capacity planning, autoscaling, and utilization/cost tracking across hardware types Securing production systems through secrets management, network policy, and tenant isolation You’ll own critical systems end to end. Your work will directly affect developer productivity, training throughput, and the performance and reliability of our inference platform. What We’re Looking For / Requirements: Experience with Linux system administration, user and access management, and automation Demonstrated expertise in scripting languages for system tooling and automation (bash, Python, etc.) Experience with containers (Docker) and scheduling/orchestration systems (Slurm, Kubernetes) Experience running production services, including monitoring and alerting (e.g., Prometheus, Grafana), deployment pipelines, and incident response Experience building tooling for cluster validation and reliability (accelerator, networking, and storage health checks) Experience setting up and managing developer tools and third-party services (e.g., cloud storage providers, Docker Hub, Slack, Gmail, Telegraf, experiment trackers) Excellent debugging and troubleshooting skills across compute, storage, and networking Strong communication skills and ability to collaborate across technical and non-technical teams Qualifications / Additional Skills: Experience with infrastructure as code (e.g., Ansible, Terraform) Prior work supporting ML/AI infrastructure, including GPU management and workload optimization Experience deploying and operating LLM serving stacks (e.g., vLLM, SGLang, Ray) Experience with multiple accelerator platforms (e.g., NVIDIA CUDA, AMD ROCm, TPUs) Experience with high-performance networking (InfiniBand, RoCE) and distributed storage Experience working with cloud platforms such as AWS, Azure, or GCP Familiarity with Apptainer and with integrating containers into Slurm and Kubernetes Why Work at Zyphra: Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued We strongly value new and crazy ideas and are very willing to bet big on new ideas We move as quickly as we can; we aim to minimize the bar to impact as low as possible We all enjoy what we do and love discussing AI Benefits and Perks: Comprehensive medical, dental, vision, and FSA plans Competitive compensation and 401(k) plan Relocation and immigration support on a case-by-case basis In-office snacks and meals provided Unlimited PTO and company holidays In-person team in San Francisco with a collaborative, high-energy environment

Job Description Expert Enterprise AI Engineer AI Platform / Solution Lead Location: Remote, but Oakland, CA, Rancho Cordova, CA or Alpharetta, GA locations are preferred for occasional in-person activities Duration: 6 months CTH Job Summary We are seeking an Expert Enterprise AI Engineer to help define, architect, build, and implement foundational AI platform capabilities while remaining hands-on in the design and delivery of enterprise AI solutions. This role combines AI platform engineering, solution architecture, machine learning, generative AI, and end-to-end technical delivery. The ideal candidate will have strong experience building scalable AI/ML platforms and production-grade AI solutions, with the ability to translate business requirements into robust technical architectures. The role will work closely with data scientists, ML engineers, software engineers, cloud/platform teams, product leaders, and business stakeholders to establish reusable AI capabilities and accelerate enterprise AI adoption. Key Responsibilities AI Platform & Architecture • Define and implement foundational capabilities for an enterprise AI/ML platform, including reusable services, frameworks, APIs, tooling, and deployment patterns., • Design scalable, secure, reliable, and cost-effective architectures for AI and ML workloads., • Establish standards and best practices for AI development, model deployment, monitoring, governance, security, and lifecycle management., • Evaluate and integrate AI/ML technologies, frameworks, cloud services, and third-party platforms., • Develop reusable components and patterns that enable teams to rapidly build and deploy AI solutions., • Partner with cloud and infrastructure teams to establish AI-ready environments across AWS, Azure, GCP, or hybrid cloud environments. Hands-on AI Solution Delivery • Lead the design and hands-on implementation of enterprise AI and machine learning solutions., • Develop and productionize machine learning, deep learning, Generative AI, LLM, NLP, and AI-agent solutions where appropriate., • Design solutions using LLMs, RAG, vector databases, embeddings, prompt engineering, model orchestration, and AI agents., • Build proof-of-concepts and rapidly convert successful prototypes into scalable production solutions., • Develop APIs, services, pipelines, and integrations required to operationalize AI capabilities., • Work with engineering teams to integrate AI solutions into existing enterprise applications and business processes. MLOps / LLMOps • Establish and implement MLOps/LLMOps practices for model training, validation, deployment, monitoring, and continuous improvement., • Build automated CI/CD pipelines for AI/ML applications and models., • Implement model performance, quality, drift, latency, cost, and reliability monitoring., • Establish processes for model versioning, experimentation, evaluation, and lifecycle management., • Develop automated evaluation frameworks for Generative AI and LLM-based applications. Enterprise AI Governance & Security • Help establish responsible AI practices covering security, privacy, governance, compliance, explainability, and responsible use of AI., • Implement appropriate controls for data protection, model access, prompt security, and AI application security., • Collaborate with enterprise architecture, cybersecurity, data governance, and risk teams., • Help define standards for selecting, developing, deploying, and managing enterprise AI solutions. Technical Leadership • Serve as a technical subject matter expert for enterprise AI initiatives., • Provide technical guidance and mentorship to AI/ML engineers, developers, and data scientists., • Collaborate with product and business stakeholders to translate business problems into AI-enabled solutions., • Drive technical decisions around architecture, technology selection, scalability, and integration., • Communicate complex AI concepts and architectural decisions effectively to both technical and non-technical stakeholders. Required Qualifications • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field., • 8 years of experience in software engineering, data engineering, machine learning, AI engineering, or related technical disciplines., • Strong hands-on experience designing and delivering enterprise AI/ML solutions., • Experience architecting or implementing AI/ML platforms and reusable AI capabilities., • Strong programming experience with Python and familiarity with APIs, microservices, and distributed systems., • Experience with one or more major cloud platforms: AWS, Azure, or GCP., • Strong understanding of machine learning lifecycle, MLOps, model deployment, monitoring, and productionization., • Hands-on experience with Generative AI and LLM technologies., • Experience with RAG, vector databases, embeddings, prompt engineering, LLM evaluation, and AI agents., • Experience with containerization and orchestration technologies such as Docker and Kubernetes., • Strong understanding of data pipelines, databases, APIs, and enterprise application integration., • Strong architecture, problem-solving, and technical communication skills. Preferred Qualifications • Experience building enterprise AI platforms or AI Centers of Excellence., • Experience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks., • Experience with ML platforms such as Databricks, SageMaker, Azure ML, Vertex AI, or similar technologies., • Experience with vector databases such as Pinecone, Weaviate, Milvus, pgvector, or OpenSearch., • Experience with AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face., • Experience with agentic AI, multi-agent systems, tool calling, and workflow orchestration., • Knowledge of AI security, responsible AI, model governance, and enterprise compliance., • Experience integrating AI solutions with enterprise systems, data platforms, and APIs. Metasys Technologies/NVISH is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.

Job DescriptionCompany Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. Job Description Generative AI is profoundly transforming organizations, but there’s often a gap between the prototype and real-world impact. The Forward Deployed Engineer is the person who closes that gap. At Sia, the FDE is both a field engineer and a genuine champion of AI adoption: they don’t just deliver a technical solution, they make sure it becomes embedded in how teams actually work, that it’s understood and adopted, and that it creates measurable value. Sitting at the intersection of engineering and change management, the FDE quickly grasps a client’s operational challenges, designs a tailored response, deploys it, and brings teams along through the transformation. Core Responsibilities • Analyze clients’ business needs and translate them into concrete, deployable AI solutions., • Design and implement LLM-based systems: autonomous agents, RAG pipelines, workflow automation, conversational interfaces., • Integrate these solutions into clients’ existing environments (APIs, databases, business tools)., • Support teams in adopting the deployed tools through evangelization, training, and continuous iteration., • Iterate quickly with stakeholders to refine solutions in production and maximize their impact., • Act as the bridge between technical teams and business decision-makers, translating complexity into perceived value. Internal Contributions As part of the firm’s internal activities, you will: • Contribute to research efforts on generative AI, agents, and automation., • Help develop the firm’s offerings: training, working groups, internal and external materials., • Contribute to the publication strategy: sector blogs, studies, press engagements. Support business development by helping define client needs and participating in commercial activities. Qualifications • Hold an engineering degree or equivalent high-level training in computer science, information processing, or a related field., • Have hands-on experience with LLMs in production: advanced prompting, RAG, fine-tuning, agent orchestration., • Are proficient in Python and applied AI frameworks (LangChain, LlamaIndex, OpenAI SDK, Anthropic SDK, etc.)., • Are comfortable with API integration and connecting heterogeneous systems., • Can deploy and operate solutions in a cloud environment (AWS, Azure, or GCP)., • Have a strong sense of client context — identifying what’s truly useful, prioritizing, and delivering value quickly., • Can bring non-technical teams along on a transformation through teaching ability, active listening, and the ability to simplify without oversimplifying., • Want to take on high-value responsibilities quickly, within a dynamic, fast-growing AI practice. Additional Information Compensation & Benefits Sia invests in total rewards that support how our people work, live, and grow. Compensation • Base Salary: $136,000-155,000. Actual compensation within this range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by applicable law., • Annual Performance Bonus Benefits • Medical, dental, and vision; company-paid life and AD voluntary supplemental insurance and EAP, • 401(k) with company match and immediate vesting; HSA and FSA options, • College savings and student loan repayment programs, • Paid parental leave; generous PTO, nine company holidays, and one floating holiday, • Cell phone stipend; well-being and professional development programs Benefits are subject to applicable plan terms and eligibility requirements. Workplace Sia values in-person collaboration. When serving clients, consultants may be required to work onsite at a client location based on engagement needs. Between client engagements, consultants are expected to work from a Sia office or approved coworking location at least three days per week. Candidates should reside within a reasonable commuting distance of a Sia office or approved coworking location. Sia maintains offices and coworking arrangements across multiple U.S. markets, including New York City, Charlotte, Greater Seattle, San Francisco Greater Bay Area, Los Angeles, Houston, Atlanta, Baltimore, Chicago, Washington D.C. Work Authorization Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future. Our Commitment At Sia, we believe in fostering a diverse, equitable, and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Job Description We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to have: Informatica/ETL. Responsibilities • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform, • Understand the full end to end development activities from design to go live for ETL development and Azure platform Recommend and execute improvements • Document component design for developers and for broader communication., • Understand and adopt an Agile (SCRUM like) software development mindset, • Follow established processes/standards, business technology architecture for development, release management and deployment process, • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews., • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements., • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies., • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements., • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems. Requirements • Proven working experience as a data engineer, • Bachelor degree or equivalent in Computer Science, • Skilled in Python object-oriented programming, • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora, • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager, • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms, • Skilled in SQL, • Skilled in Jenkins, • Skilled in JSON, • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica, • Skilled in cloud technologies and cloud computing, • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere, • Determining causes of operating errors and taking corrective action, • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data, • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB, • Programming including coding, debugging, and using relevant programming languages, • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc., • Ability to frame ideas as systems and analyzing the inputs, outputs, and process, • Experience helping an organization to plan and manage change in effort to meet strategic objectives, • Adept at managing project plans, resources, and people to ensure successful project completion, • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

Job Description Drupal Developer Employment Type: Full-Time Department: Developer CGS is seeking a Drupal Developer to join our team supporting a wide-ranging technical support initiative for a large Federal agency. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: - Site building, administration, and maintenance of Drupal sites - Develop custom Drupal themes and modules - Work closely with the users to understand their requirements - Work within the Agile methodology helping Sprint teams - Learn new technologies or off-the-shelf software quickly - Help back-end and front-end developers work with one another Qualifications: - Bachelor’s Degree in Computer Science or related field - 3+ years of Drupal experience - 3+ in Drupal 8/9 - 5+ years of experience with PHP, MySQL, HTML, JQuery - 3+ years of experience with Drupal content modeling and site governance - 5+ years of experience with CSS, Sass, and USWDS - 3+ years of experience with OEL, REHL, and CentOS - Experience with Apache - Experience with Google Analytics - Experience with Azure DevOps/Agile Methodology - Experience with REST/SOAP APIs - Experience with CI/CD - Experience with Drush/Composer Ideally, you will also have: - Experience with Government software development policies and procedures - Client-facing communication experience - Federal Agency issued security clearance Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit https://www.cgsfederal.com or contact: Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Reporting to the Manager, Business Systems Analysis, the incumbent Business Systems Analyst (BSA) provides systems analysis support for technology-enabled solutions serving internal business units. The BSA will work with business leaders and users, subject matter experts, project managers and IT professionals. The BSA will elicit requirements and provide clear, concise documentation, analyze systems, analyze data, troubleshoot and provide root cause analysis, and contribute to systems-related business process design and improvement. Please note that while SFHP supports a hybrid work environment. this role will be required to be onsite and in-office a minimum of 4 days per month. Salary: $88,775 - $103,135 per year WHAT YOU WILL DO: • Work in a team environment, • Work directly with business partners, project managers, and all levels of management. Collaborate with technical staff, architects, and vendors to analyze Business Requirements/Need. Create clear and concise Functional Specifications, supporting workflows, data analysis, etc. according to best practices, • Lead requirements elicitation and apply a combination of business and technical knowledge to solve business problems with cost-effective technical solutions, • Intimate knowledge of application functionality, interfaces, screens, • Use creative problem-solving skills to remove barriers and effective communication skills to keep all parties informed of status, • Work with end-users to develop and execute test plans to verify business systems and processes work as expected, • Follow SFHP's Change Management/Release Management Policies and Procedures such as submitting appropriate change requests, • Develop and recommend operational processes and /or process improvements, • Advocate for business users across the organization and support the business with prioritizing their requests, • Support production system incidents; troubleshoot and provide root cause analysis, • Partner with Senior Business Systems Analyst on more complex efforts WHAT YOU WILL BRING: • A degree from a four-year college (e. g., BS) or equivalent work experience, • Prior experience at a healthcare organization, particularly at a managed health plan, • Minimum 3 years of experience as a Business Systems Analyst, Systems Analyst, Technical Analyst or comparable position in a healthcare environment, • 1 or more years of experience with relational databases and writing SQL queries, • Intermediate experience with Microsoft Visio or comparable business process design software, • Familiarity in managing requirements, test suites in Azure DevOps is helpful, • Familiarity with HIPAA healthcare EDI transactions and file formats, • MSOffice skills (Outlook, Word, Excel, PowerPoint), • Scrum Master Certification WHAT WE OFFER: • Health Benefits, • Medical: You'll have a choice of medical plans, including options from Kaiser and Blue Shield of California, heavily subsidized by SFHP., • Dental: You'll have a choice of a basic dental plan or an enhanced dental plan which includes orthodontic coverage., • Vision: Employee vision care coverage is available through Vision Service Plan (VSP)., • Retirement – Employer-matched CalPERS Pension and 401(a) plans, 457 Plan., • Time off – 23 days of Paid Time Off (PTO) and 13 paid holidays., • Professional development: Opportunities for tuition reimbursement, professional license/membership. ABOUT SFHP: Established in 1997, San Francisco Health Plan (SFHP) is an award-winning, managed care health plan whose mission is to provide affordable health care coverage to the underserved low and moderate-income residents in San Francisco County. SFHP is chosen by eight out of every ten San Francisco Medi-Cal managed care enrollees and its 175,000+ members have access to a full spectrum of medical services including preventive care, specialty care, hospitalization, prescription drugs, and family planning services. San Francisco Health Plan is proud to be an equal opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals and in which our people processes are applied without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military service status, citizenship, or other protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. San Francisco Health Plan is an E-Verify participating employer. Hiring priority will be given to candidates residing in the San Francisco Bay Area and California. #LI-Hybrid

Job Description We’re hiring a Data Engineer to help build and scale our data backbone. This will be a high impact position on the Anthro Data Team, with significant ownership across pipelines, modeling, and cloud infrastructure. Our data spans lab characterization equipment, high-volume manufacturing systems, thousands of battery cycler channels, and business software. Your day to day will include: • Design and build production-grade ELT pipelines for lab and manufacturing data, • Architect secure, reliable data movement between on-prem systems and AWS, • Develop well-structured, performant warehouse data models for analytics and ML, • Write, test, and optimize complex SQL used in production dashboards and workflows, • Deploy and manage AWS infrastructure using infrastructure-as-code, • Implement monitoring, data quality checks, and system observability, • Partner closely with scientists and engineers to translate real-world workflows into reliable data systems Requirements • Bachelor’s degree in CS, Engineering, Mathematics, or a scientific discipline, • 3-5+ years of data engineering experience, • Strong Python — able to write clean, modular, well-tested, production-ready code, • Advanced SQL — comfortable designing schemas, reading query plans, and tuning performance at scale, • Experience with data modeling and query optimization in a cloud data warehouse, • Familiarity with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform, CDK, CloudFormation), • Strong software engineering fundamentals (version control/Git, testing, CI/CD), • Ability to operate independently and own data systems end-to-end Nice to Have: • Experience with manufacturing or industrial data, • Scientific background or familiarity with lab-based research, • AWS and/or ClickHouse-specific experience, • Experience supporting AI/ML data pipelines Benefits • Competitive salary and equity compensation commensurate with experience. Expected salary range for posted level is $120-160k, • 15 Vacation Days, 10+ Holidays, Sick time off, • Full medical, dental, and vision coverage for team members, 60% coverage for dependents, • 401k with match, • Paid parental leave with flexible return-to-work policy, • Diverse and inclusive work environment

Job DescriptionOverview We look for Senior Engineers looking for challenging work to bridge the gap between materials/chemistry, AI/ML , and computer science to help us develop a software framework for designing and discovering new advanced materials and chemicals. More about our codebase and team on our GitHub page. Work will focus on (1) building 3D and 2D design applications for nanoscale materials and chemistry, (2) organizing the data produced by the models and experimental validation, (3) implementing world-class UX for the initial focus set of platform users. Successful candidates will continue into leadership roles as we grow. This is a full-time permanent position. Responsibilities • software development, • product design and concept development, • work closely with the product team, relay and explain software concepts Why Join • see the results of your creative work used directly by the world's leading enterprises, • realize your ambitions and directly define how materials research is done in the future, • work with top-tier human capital in research, engineering, and venture capital Requirements Engineering • JavaScript/React.JS (advanced), • MacOS/Linux/Bash (advanced), • MongoDB/JSON (intermediate), • Meteor.JS (desired) Other • ability to learn and apply new concepts rapidly, • extreme attention to details Plus • familiarity with AWS EC2, Microsoft Azure, • familiarity with SaltStack or similar, • knowledge of chemistry/materials science, • work on advanced electronic structure methods (VASP, Quantum ESPRESSO, Gaussian, NWChem, Siesta, or similar) is not required but is a plus, • experience with machine learning Benefits Company Benefits Include • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Short Term & Long Term Disability, • Training & Development, • Work From Home, • Free Food & Snacks, • Wellness Resources, • Stock Option Plan Compensation • $120,000 - $180,000 salary range, • 0.25 - 0.75% stock options

Job Description Job Title: Solution Architect Position Overview We are seeking an experienced and strategic Solution Architect to bridge the gap between business challenges and technology solutions. In this role, you will design scalable, robust, and secure end-to-end architectures that align with organizational objectives. You will lead technical direction across software design, cloud infrastructure, integration patterns, and data engineering, collaborating closely with product managers, developers, and executive leadership. Key Responsibilities Architecture & Solution Design: Translate complex business requirements into technical blueprints, system diagrams, and specifications for enterprise applications and integrations. Technical Leadership & Governance: Establish architectural standards, design patterns, and engineering best practices; lead Architecture Review Boards (ARBs). Cloud & Infrastructure Strategy: Architect resilient, secure, and cost-effective cloud-native applications across modern cloud providers (AWS, Azure, or GCP). Cross-Functional Collaboration: Partner with product managers, business analysts, data engineers, and security teams to ensure alignment on deliverables, scope, and technical trade-offs. Technology Evaluation & Prototyping: Evaluate emerging technologies, third-party platforms, and frameworks; design and lead Proofs of Concept (POCs). Security & Compliance: Ensure all technical designs adhere to enterprise security standards, data privacy regulations, and disaster recovery objectives. Mentorship: Guide and mentor technical leads and software engineers on architecture patterns, code quality, and system scalability. Required Qualifications Education: Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or equivalent practical experience nice to have Experience: o 7 years in software engineering, systems design, or infrastructure. o 5 years in a Solution Architect, Technical Architect, or Lead Systems Architect role. Cloud & Distributed Systems: Deep expertise with major cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes). Software Architecture: Strong proficiency in microservices architecture, event-driven systems, RESTful/GraphQL APIs, and serverless design. Data & Storage: Solid understanding of relational and NoSQL databases, as well as data warehousing or pipeline concepts. DevOps & CI/CD: Hands-on experience with modern CI/CD pipelines, Infrastructure as Code, and automated testing strategies Communication: Exceptional ability to explain complex technical concepts to non-technical stakeholders and executive leadership. Preferred Qualifications Experience with modern AI/ML integration architectures (e.g., LLM orchestration, RAG pipelines). Background in domain-driven design (DDD) and legacy system modernization. Business domain experience and datasets experience in Pharma and Life Sciences industry Nice to Have Qualifications Relevant cloud/architecture certifications (e.g., AWS Certified Solutions Architect Professional, Microsoft Certified: Azure Solutions Architect Expert, TOGAF).

Job DescriptionAbout Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from 0to~1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders Build a massive, fast-growing business with billions in revenue About the Role Handshake is hiring a Machine Learning Engineer I for the Growth Relevance team. AI is transforming how students navigate their careers, and we're committed to providing innovative, responsible AI-powered solutions that guide students from educational aspirations to meaningful career opportunities. In this role, you will contribute directly to this mission by developing, deploying, and enhancing machine learning systems focused on lifecycle optimization, personalized notifications, and monetization strategies. You'll join a high-impact team leveraging cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers built upon a robust data platform with billions of data points. Your work will drive critical marketplace metrics, enhance user engagement, and contribute to responsible AI practices around explainability, fairness, and quality. What You'll Do Innovator: Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization — with guidance from senior engineers. Collaborator: Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models that improve product features and user experience. Learner: Grow your technical depth by working alongside experienced ML practitioners, picking up best practices in model development, experimentation, and production deployment. Desired Capabilities Bachelor’s degree in Computer Science, Data Science, or a related field 1-3 years of experience in machine learning, data science, or a related area Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow Experience with deploying and evaluating agentic workflows Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation Extra Credit Master’s degree or currently pursuing an advanced degree in a relevant field Exposure to areas such as recommendations, personalization, NLP, deep learning, LLMs, or explainable AI Familiarity with the ML lifecycle (e.g., experiment tracking, model monitoring, feature pipelines) Experience with cloud platforms (GCP, AWS, or Azure) Clear communicator, able to translate technical work for diverse audiences Collaborative mindset with experience working cross-functionally with product, analytics, and engineering teams Perks Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. Ownership: Equity in a fast-growing company Financial Wellness: 401(k) match, competitive compensation, financial coaching Family Support: Paid parental leave, fertility benefits, parental coaching Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend Growth: $2,000 learning stipend, ongoing development Remote & Office: Internet, commuting, and free lunch/gym in our SF office Compensation Range: $150K - $189K

Job Description Cloud and Storage Engineer Employment Type: Full-Time, Experienced Department: Information technology CGS is seeking a Cloud and Storage Engineer to develop and implement full-scale Storage Area Network (SAN) architecture for a large EMC-based SAN infrastructure in support of a large federal agency. The ideal candidate will be able to excel in a fast-paced environment and successfully produce standards and implementation processes for storage configuration, optimization, replication, and storage security. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: - Develops and implements full scale Storage Area Network (SAN) architecture for a large EMC-based SAN infrastructure in a multi-enterprise, complex, geographically dispersed solution; ranging from single servers to multi-tier, multi-platform solutions connected through fiber channel to multiple EMC Storage Arrays with petabytes of storage capacity. - The SAN architecture considers the following aspects relating to SAN: performance, capacity, replication, disaster recovery, backup disk storage, and backup & recovery. - Defines and sets a strategic direction for the SAN and backup environment. - Designs and implements customer storage requirements into an enterprise solution that will be developed, installed, configured, and deployed in the environment. - Provides overall storage and backup capacity planning, and utilization reporting. - Produces standards and implementation processes for storage configuration, optimization, replication, virtualization, storage security, and disaster recovery. - Troubleshoots complex SAN infrastructure issues and works with customers both internal and external to effectively resolve issues. - Reviews, plans, and participates in executing regularly scheduled maintenances and/or projects on the storage infrastructure. - Develops technical documentation, tiered storage and storage-as-a-service roadmaps, presentations, and cost models. - Responsible for managing, maintaining, and developing the SAN infrastructure as part of a team to ensure 24/7/365 uptime. - Architects and maintains private cloud environment. Professional experience with Gov Cloud (AWS, Azure, etc.) and hybrid cloud architectures desired. - Performs security related tasks which include, but are not limited to, documentation, vulnerability scan review, assessment support, patch management, and auditing as required. Qualifications: - Bachelor’s in computer science, business, or other relevant discipline. - Eight (8) years of relevant work experience may be substituted for degree requirement. - Must have significant, direct experience in Dell EMC products such as OneFile System (OneFS), MDS SAN switches, storage arrays (Unity, Isilon, VNS, and Data Domain), and RecoverPoint. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let's achieve more, together. Where this role sits This role owns how Sapience AI serves intelligence at scale. You build and run the inference infrastructure that turns the models and reasoning behind MINERVA and COGENT into fast, reliable, affordable answers for members. You work where models meet production: serving, scaling, latency, and cost. Every time a member asks the platform something, your systems are what make the answer arrive quickly and hold up under load. You sit close to applied AI, research, and platform engineering, and you make the difference between a model that works in a notebook and one that serves a community reliably. Why this role exists Collective intelligence is only useful if it is fast and dependable. Members will not wait, and communities cannot rely on a platform that buckles under load or costs too much to run. Serving modern AI at scale is a hard systems problem: large models, tight latency budgets, expensive hardware, and demand that spikes. It takes real infrastructure engineering to get right. The AI/ML Infrastructure and Systems Engineer owns that problem. You make inference fast, reliable, and affordable, so the intelligence the platform promises actually reaches members. What you will own (Areas of Responsibility) You hold seven areas of responsibility across inference infrastructure. Each one is yours to set direction on, build, and measure. 1. Inference serving and systems • Build and operate the inference systems that serve models and reasoning behind MINERVA and COGENT., • Own the serving path end to end, from request to response, under real load., • Make serving robust to failure, traffic spikes, and change.2. Latency and performance, • Drive down latency so members get fast answers, and keep it low as the platform grows., • Optimize the full path, including model execution, batching, caching, and retrieval., • Profile relentlessly and remove the bottlenecks that matter.3. Scale and reliability, • Scale inference to more members, more communities, and heavier reasoning without losing reliability., • Build autoscaling, load management, and graceful degradation., • Own the reliability of the serving layer as a first-order responsibility.4. Cost and efficiency, • Own the economics of inference, including GPU and hardware efficiency at scale., • Improve utilization and cut waste without hurting quality or speed., • Make cost a designed property, not a surprise.5. Model deployment and lifecycle, • Build the paths that take models and reasoning components from research to production safely., • Support rollout, versioning, and rollback with confidence., • Give applied AI and research a fast, safe route to ship.6. Observability and operations, • Instrument the serving layer so it can be measured, debugged, and trusted., • Build the alerts, dashboards, and tooling that keep inference healthy., • Reduce the operational burden of running AI at scale.7. Hardware, accelerators, and platform choices, • Make sound choices about accelerators, runtimes, and serving frameworks., • Balance performance, cost, and maintainability in platform decisions., • Keep the stack current as inference technology moves.AI-augmented ways of working You build the infrastructure that serves AI, and you use AI in building it, to generate tooling, reason about performance, and move faster, while you own correctness, reliability, and cost. The standard is human in partnership: AI accelerates the work, you own the judgment, the interpretation, and the call. The people who create the most value here are not the ones producing the most output. They are the ones turning evidence into clear, durable decisions. What this role is not To keep the boundary clear: • This is not a model research role. You serve and scale models; you do not develop new model architectures., • This is not a general backend role. Your center of gravity is inference systems, performance, and hardware efficiency., • This is not a data engineering role. You partner with data teams, but you own serving, not the data platform., • This is not a best-effort prototype role. You are accountable for production inference members depend on.What success looks like We measure this role on outcomes the team can see: • Fast answers. Members get low-latency responses, and latency stays low as the platform grows., • Reliable at scale. Inference holds up under load, spikes, and growth., • Affordable intelligence. Inference cost per answer improves as usage rises., • Safe rollouts. Models and reasoning components ship, version, and roll back with confidence., • Operable serving. The serving layer is instrumented, debuggable, and healthy., • Sound platform choices. Accelerator and framework decisions age well.Who you are Required qualifications, • Five or more years in infrastructure, systems, or ML infrastructure engineering., • Hands-on experience serving ML or LLM models in production at scale., • Deep understanding of latency, throughput, and performance optimization., • Experience with GPUs or accelerators and their efficient use., • Strong systems programming and distributed systems fundamentals., • A track record of reliable, cost-aware production systems., • Fluency with observability and operational excellence.Preferred qualifications, • Experience with inference-serving frameworks and model runtimes., • Experience optimizing LLM inference, including batching, quantization, and caching., • Familiarity with retrieval systems and their performance characteristics., • Experience owning cost and capacity for AI workloads., • Exposure to neuro-symbolic or agentic systems in production.How you work, • You name the real bottleneck before reaching for a fix., • You measure before and after, and you trust evidence over intuition., • You treat reliability and cost as first-order, alongside speed., • You build systems others can operate., • You share tooling and knowledge across the team.Skills & Competencies, • Inference serving architecture and optimization., • Latency, throughput, and performance engineering., • GPU and accelerator efficiency., • Distributed systems, scaling, and reliability engineering., • Model deployment, versioning, and rollout., • Observability and production operations for AI., • Cost and capacity management for inference.Services & Tools Experience, • Inference-serving frameworks and model runtimes (for example vLLM, TensorRT, Triton-class systems)., • GPU tooling, CUDA-class ecosystems, and accelerator runtimes., • Kubernetes, containers, and cloud platforms (AWS, GCP, or Azure)., • Observability stacks (metrics, tracing, and logging)., • Python and a systems language such as Go, Rust, or C++., • Caching, queuing, and load-management systems., • Serving the models and reasoning behind the MINERVA platform and COGENT architecture.Prior Experience & Background, • Prior ML infrastructure, platform, or systems engineering at a software or AI company., • Experience serving models in production under real load., • A track record of performance and reliability improvements at scale., • Experience owning inference cost is a plus.Cross-functional partners You work most closely with Applied AI, Neuro-Symbolic AI, Platform Engineering, and Research. You serve the models and reasoning that power MINERVA and the COGENT architecture, and you own how they run in production. How we hire We review every application, and we encourage you to apply even if you do not match every line above. Research shows that talented people, especially those from underrepresented communities, often hold back when they do not meet every qualification. If that is the only thing holding you back, apply anyway. Sapience AI is an equal opportunity employer. We are committed to a workplace where everyone, regardless of background, has a voice in building what comes next. Compensation Base Salary: $204,000 - $216,000 + early stage equity Generous health and wellness benefits Sapience AI is an equal opportunity employer. We do not discriminate on the basis of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. If you need an accommodation to complete our application process, let your recruiter know.

Job Description Senior Business Consultant – Enterprise Identity Experience Alameda, CA - OnSite 6 Months Contract + Possible extensions based on performance Role Summary • We are seeking an experienced, client-facing analyst to lead the redesign of a large enterprise identity dashboard for an enterprise client in the life-sciences sector., • The client's single sign-on dashboard has grown organically to well over one hundred application tiles. The engagement will replace this with a governed, well-organized experience — improving usability, enforcing least-privilege visibility, and increasing self-service adoption., • This is not an administrative or coordination role. The person in this role is the primary interface between the client's business stakeholders and the delivery team. They will run the discovery, design the information architecture, produce the proposed layouts, and drive the design to stakeholder sign-off. Deep platform administration is handled by dedicated engineers — this role owns the experience, the requirements, and the design.The core challenge, • Take a catalog of 120+ enterprise applications, understand who genuinely needs each one, and design an information architecture that works — within the real constraints of the identity platform. This requires equal parts analysis, stakeholder facilitation, and design judgment. Key Responsibilities Discovery & Analysis • Build a complete inventory and classification of the application catalog (120+ tiles): integration type, current assignment model, intended audience, actual usage, and compliance relevance., • Analyze usage data to identify over-assigned applications, stale tiles, and duplicate or non-production tiles that should not be user-facing., • Capture end-user feedback (interviews and/or survey) to understand how people actually navigate and where the current experience fails them., • Design the category taxonomy for the full catalog, working within the platform's native constraints (a hard limit on the number of top-level categories) — the central design challenge of the engagement., • Produce wireframes and proposed layouts, iterate them with stakeholders, and present them for formal sign-off., • Design the self-service access experience so that requesting access is discoverable and ticket-free., • Consider and plan for migration: many users have already hand-arranged their own dashboards, and a global reorganization must account for that., • Translate approved designs into clear, implementable specifications for the Okta engineer., • Coordinate the engagement day to day: schedule, dependencies, risks, and stakeholder communication., • Document the delivered standards and the ongoing hygiene routine for client handover. Phase 2 (contingent) Should the client elect to proceed to a custom portal, this role continues as the experience and requirements owner — leading the portal's interface design and carrying the requirements forward. (The portal build itself would be performed by a separate development team.) Required Experience & Skills • 5+ years in a client-facing analyst, consultant, or business-analysis role within enterprise IT — ideally in a consulting or professional-services environment., • Demonstrable information architecture experience: you have taken a large, disorganized catalog of applications, services, or content and designed a taxonomy that real users could navigate. Please be prepared to describe a specific example., • Strong requirements elicitation and facilitation skills: running working sessions with business and application owners, driving them to decisions, and documenting outcomes rigorously., • Working knowledge of identity and access management concepts: SSO, user groups, application assignment, birthright vs. requestable access, joiner/mover/leaver, least privilege. You do not need to be an IAM engineer, but you must be fluent enough to design something that can actually be implemented., • UX / design capability: able to produce wireframes and proposed layouts (in any standard tool) and present and defend them to non-technical stakeholders., • Excellent written and verbal communication — this person presents to senior client stakeholders and their credibility carries the engagement., • Onsite availability at the client site during business hours for the engagement duration. Highly Desirable, • Hands-on exposure to Okta (or a comparable IdP such as Entra ID / Azure AD, Ping, or SailPoint), particularly its end-user dashboard, application assignment, and access-request capabilities., • Experience with identity governance concepts: access requests, approvals, certification/recertification., • Experience delivering an employee portal, intranet, or service-catalog experience (e.g. ServiceNow Employee Center, SharePoint/Viva, or a comparable platform)., • Experience in a regulated environment (GxP, SOX, or similar) and familiarity with change control., • Life-sciences, pharmaceutical, or biotech client experience. The salary range provided for this contract role represents our good faith estimate for this position. Within the range, individual offers will vary based on the selected candidate's experience, industry knowledge, technical and communication skills, location and other factors that may prove relevant during the interview process (W2 or C2C). In addition to compensation, the company provides eligible W2 employees with a comprehensive and highly competitive benefits package. I.T. Solutions, Inc. 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 DescriptionCompany Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. Job Description To support its growth, Sia is recruiting a Data Scientist Consultant with a strong interest in Risk, Compliance and Regulatory topics and challenges. Reporting to Sia's Data Science teams, your role is to support our clients' operational teams and compliance departments in defining their data needs, analyzing their data, deploying data science algorithms, and AI agents and providing strategic decision support. These engagements require the implementation of complex analyses to support our clients, notably in: • Forward-Deployed Engineering, • Generative AI, Machine Learning & Statistics, • Data Analysis for strategic support, • Data Engineering & DevOps, • Data Transformation & Acculturation A few examples of engagements: Predictive compliance risk monitoring: Building automated data pipelines and dashboards to track operational metrics and forecast the future health of compliance workstreams, enabling proactive risk identification and mitigation. AI-powered regulatory intelligence: Designing and deploying a GenAI-driven system that monitors regulatory change in real time, structures obligations, maps them automatically to internal policies and controls, scores compliance gaps, and orchestrates remediation workflows - all with a full source-of-truth audit trail for compliance, risk, and legal teams. Analytics/ML models for AML compliance: Built and refined ML models to automate due diligence and ID verification workflows, reducing manual review time. Managed third-party data integration and collaborated with Legal and Engineering to ensure compliant deployment. As part of the firm's internal activities, your contribution will focus on the following areas: • Developing or strengthening our offerings through training, working groups, and internal/external materials., • Our publication strategy (sector blogs, studies, press coverage). \, • Business development, by contributing to the definition of client needs and participating in sales activities. Key Responsibilities: • Partner with our clients' leadership teams, engineers, program managers, and data analysts to understand data needs., • Identify, acquire, process, and explore relevant data sources., • Analyze large amounts of structured and unstructured information to discover trends and patterns., • Use your data analytics and data science expertise to derive valuable insights from datasets, and build predictive models and machine learning algorithms., • Design, build, fine-tune, and deploy LLM-based systems using models such as GPT, Claude, Gemini, Llama, and Mistral., • Develop GenAI-powered applications (self-managed and API-based) that meet real business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses)., • Design and optimize prompting strategies (few-shot, Chain/Tree-of-Thought, ReAct, self-reflection, guardrails) to improve reliability and control., • Communicate at scale through multiple mediums: presentations, dashboards, datasets, bots, and more., • Propose solutions and strategies to business challenges., • Collaborate with engineering and product development teams., • Work across a broad range of partners and projects, delivering models, algorithms, datasets, measurements, services, tools, and processes. Qualifications, • Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field., • 2+ years of experience as a Data Scientist or Data Analyst., • Strong programming skills, particularly Python and SQL., • Proficiency in at least one major GenAI application framework (LangChain, LlamaIndex, etc.)., • Experience with cloud platforms (AWS, Azure, or GCP)., • Knowledge of both proprietary and open-source model ecosystems (OpenAI, Anthropic, Mistral AI, Hugging Face, etc.)., • Excellent communication skills, with the ability to explain complex technical concepts simply. Preferred technical experience: • Experience building agentic AI systems., • Good understanding of machine learning techniques., • Good understanding of statistical techniques and concepts., • Experience with data visualization tools., • Experience developing conversational AI systems / chatbots., • Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as the Model Context Protocol (MCP)., • Experience deploying models at scale in production environments. Preferred industry sector experiences • Regulatory Obligations Management: Analyze and document legal/regulatory requirements to maintain and update the client's RCM obligations library, • Control Design & Implementation: Design and implement operational controls and compliance frameworks to ensure regulatory adherence, • Risk Assessment & Testing: Lead RCSAs, thematic reviews, and control testing to identify compliance and operational gaps, • Regulatory Analysis & Strategy: Interpret emerging regulatory trends and enforcement actions to inform compliance strategy, • Compliance Best Practices: Develop and maintain compliance best practices, • Regulatory Interpretation & Controls Mapping: Interpret laws and regulations to assess applicability and map obligations to controls, • Risk & Compliance Transformation: Support transformation engagements across first-line (controls design/testing) and second-line (risk, compliance) functions Additional Information Compensation & Benefits Sia invests in total rewards that support how our people work, live, and grow. Compensation • Base Salary: $98,000-122,000. Actual compensation within this range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by applicable law., • Annual Performance Bonus Benefits • Medical, dental, and vision; company-paid life and AD voluntary supplemental insurance and EAP, • 401(k) with company match and immediate vesting; HSA and FSA options, • College savings and student loan repayment programs, • Paid parental leave; generous PTO, nine company holidays, and one floating holiday, • Cell phone stipend; well-being and professional development programs Benefits are subject to applicable plan terms and eligibility requirements. Workplace Sia values in-person collaboration. When serving clients, consultants may be required to work onsite at a client location based on engagement needs. Between client engagements, consultants are expected to work from a Sia office or approved coworking location at least three days per week. Candidates should reside within a reasonable commuting distance of a Sia office or approved coworking location. Sia maintains offices and coworking arrangements across multiple U.S. markets, including New York City, Charlotte, Greater Seattle, San Francisco Greater Bay Area, Los Angeles, Houston, Atlanta, Baltimore, Chicago, Washington D.C. Work Authorization Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future. Our Commitment At Sia, we believe in fostering a diverse, equitable, and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Job Description Strength in Trust OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down—it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Strength in Trust Our goal at OneTrust is to bring the power of trust to companies all over the world. Using cutting-edge technology and a real-world approach to ethics, compliance, privacy, security, ethics, ESG, and third-party risk, we've created a no-nonsense platform to help supercharge the global push for trust. The Challenge We're looking for a Support Analyst to join the GCS (Global Customer Support) team. In this role, you will provide ongoing technical support, troubleshooting and propose pragmatic solutions for OneTrust customers. This position requires a confident individual with excellent verbal and written communication skills, advanced troubleshooting skills and an ability to operate in escalated and high-pressure situations. You will be required to develop deep understanding of the OneTrust platform and Collaborate across OneTrust teams, including with our product teams, to troubleshoot issues, identify root causes, and provide solutions. Your Mission • Take support cases from the Level 2 or 3 support queue (as appropriate) and work with the customer to troubleshoot and resolve the issue., • Actively and autonomously manage a varied workload of customer support cases, keeping customers regularly updated on progress., • Collaborate across OneTrust, including with our product teams, to troubleshoot issues, identify root causes, and provide solutions., • Continue to develop and maintain deep knowledge of specific areas of the OneTrust platform (and supporting technologies) by attending office hours, completing regular release training, etc., • Build privacy industry expertise, including maintaining CIPP/E / CIPM certifications., • Contribute more broadly to the OneTrust support community, including creating knowledge articles and process improvements., • Work independently to manage your time and commitments while meeting agreed performance. You Are • Excellent with your oral and written communication skills., • Eager to learn and quick to pick up new skills., • Able to work independently while still contributing to a team., • You are a hardworking and determined individual focused on providing a great customer experience while building rapport., • You're an independent worker who can solve complex customer problems in a creative manner., • Excited to find creative solutions to complex customer problems., • Able to manage and prioritize a varied workload while meeting SLAs and deadlines., • Focused on quality and attention to detail., • Dedicated to providing a great experience and able to build a rapport with customers. Your Experience Includes • Degree, higher education qualification or 3-5 years' work experience in a similar role, • Either demonstrated experience working with the OneTrust Privacy platform, or relevant technical skills e.g. web/mobile development stack (HTML, CSS, Javascript, React), APIs/integrations, • Ability to learn rapidly, and master the OneTrust Privacy platform, • Complex analytical problem-solving skills, • Continuous improvement mindset and ability to contribute to process improvement., • Highly developed written and verbal communication skills, with ability to effectively communicate complex information in accessible language via phone, video and e-mail, • Ability to work with and troubleshoot complex, web-based software suites, • Working knowledge of development processes, different operating systems, browsers, and programming languages., • Flexible attitude and willingness to work alternative shift patterns e.g. late shifts, weekends to support coverage, new releases Extra Awesome • Privacy industry experience, or CIPP/E / CIPM certified, • Language skills (French, German, Spanish, Portuguese), • Familiarity with IAB TCF 2.0 framework, • Familiarity of privacy, ethics, security, compliance, or sustainability concepts or industry trends, • Working knowledge of containerization, orchestration, and related infrastructures such as Docker, Kubernetes, OpenShift., • Basic Knowledge of relational databases such as MySQL, • Knowledge of public cloud infrastructure such as AWS, Azure and Google Cloud (AKS, EKS, GKE, Drivers, Storage, VPN, Subnets)., • Linux and Windows Administration skills, • Experience with HTML, CSS, Javascript For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits. Salary Range $28.13—$37.50 USD Where we Work We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person. Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview. Benefits As an employee at OneTrust, you will be part of the OneTeam. That means you'll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers. Resources Check out the following to learn more about OneTrust and its people: • OneTrust Careers on YouTube, • @LifeatOneTrust on InstagramYour Data You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our Privacy Overview. You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the Data Subject Request Form. Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to askrecruiting@onetrust.com. Our Commitment to You When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career. OneTrust 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 local laws.

Job Description Aircall is a unicorn AI-powered communications platform transforming how teams win with customers. For over a decade, we've believed voice builds the strongest business relationships. We bring voice, SMS, WhatsApp, and 250+ integrations together on one seamless workspace—so every customer conversation drives revenue, resolves issues faster, and builds trust. Our AI Voice Agents handle routine interactions while your team leads the conversations that matter most. Used by 24,000+ businesses worldwide. We're 600+ people from 40+ nationalities across Paris, London, Madrid, Berlin, New York, San Francisco, Seattle, Sydney, and Mexico City. We're ambitious, product-driven, and execution-focused—built for visible impact, fast decisions, and real growth. Come join us! About the Role As a Senior Security Engineer, Detection and Response you will develop, scale, and evolve Aircall's threat detection and response capabilities. You will take ownership of building detections from scratch, leading investigations, and driving the maturity of our detection program. This is an owner-operator role. You will not be solely responding to alerts or consuming a detection platform that someone else runs, you will build and run it: the ingestion pipelines, the Terraform that defines them across sandbox, staging and production AWS accounts, the retention and cost posture, and the automation layered on top. Roughly two-thirds of the work is software and platform engineering; the remaining third is investigation, incident response and threat hunting. Expect to write production Python and Terraform every week, working alongside a product security, cloud and infrastructure security team you will partner with closely. Our team builds the best solutions to our biggest problems, over the past year we've built our own AI SOC & IR agent, and we're applying those lessons to how we protect customer-facing AI products. Responsibilities • Leading direction and strategy of the DART program at Aircall, • Lead end-to-end development of detection logic: from threat modeling and hypothesis to writing, testing, simulation, tuning, and deploying detection rules and alerts across logs, telemetry, host, network, and cloud., • Own the security data platform end to end. Operate and extend the SIEM and its ingestion pipelines, parsers, enrichment and normalization, defined as infrastructure-as-code and promoted from sandbox to production. Own its cost and capacity envelope and make the retention-versus-spend calls., • Experiment and build unique tools at the front of the security space that solve significant security challenges., • Expand and ship new security AI- and agent-based tooling for alert triage, investigation and detection building, including its authorization model, guardrails, evaluation harness and tracing., • Conduct threat hunts proactively in company wide and production environments, discovering anomalies and attacker behaviors before they escalate., • Lead incident response: investigate, contain, remediate, and perform root cause analysis. Drive post-incident reviews and feed lessons learned back into detection strategy., • Assess security around new product features, including AI- and LLM-backed services and opportunities for detections or protections, • Author and maintain detection documentation, runbooks, alert definitions, tuning guidelines, and metrics., • Collaborate cross-functionally with Engineering, Product, Fraud, Privacy and Legal, • Participate in on-call and threat-response rotations; escalate, coordinate, and remove blockers during high-severity events., • Stay current on attacker techniques (MITRE ATT&CK, red team reports, threat intel) and propose new detection patterns or responses accordingly., • Participate in hiring and interview evaluation of Security and Infrastructure engineering candidates, and in team growth. Should have • 5+ years of hands-on experience in security operations, detection engineering, incident response, threat hunting, or similar fields, or an equivalent combination., • Production-grade Python and Terraform. A meaningful majority of this role's output is building detections managed in code, logging pipelines and custom security tools to scale sec ops. You should be able to point to services or Lambdas you built and Terraform modules you own and have maintained in production., • Deep knowledge of adversarial tactics, techniques, and procedures, threat actor behavior, ATT&CK framework., • Proven experience building detections from scratch rather than only tuning commercial alerts into a production-quality detection with a low false positive rate., • Hands-on experience with SIEM or log analytics platforms and data lake technologies (OpenSearch, Elasticsearch, Clickhouse, Sentinel, Splunk, Datadog, AWS Athena, Azure synapse, Databricks or equivalent) and alerting/monitoring tooling., • Cloud-first Azure, GCP, AWS experience. Beyond instrumenting detections across cloud workloads, this role provisions and owns production security infrastructure in AWS: VPCs, IAM, networking, private service endpoints., • Experience in digital forensics, host-based detection, endpoint telemetry, process and network visibility, and cloud observability., • Experience responding to incidents in production environments: investigating logs, building timelines, establishing root cause, and containing., • Familiarity with security automation and orchestration, playbooks, response automation, and alert triage workflows., • Comfort as the primary owner of a domain. You will lead detection and response engineering, set your own priorities and move confidently where documentation is thin or stale., • Strong communication skills; the ability to translate complex detection logic, trade-offs and risk to engineers and to leadership., • A high degree of autonomy, initiative, and ownership, with the ability to drive entire initiatives with minimal oversight. Bonus / Nice-to-have • Experience building on or securing LLM and agent systems — Azure foundry, Bedrock/AgentCore, LangGraph, guardrails, policy-based authorization, prompt-injection defense, and agent evaluation., • Purple/Red team, App Sec or Production security experience. To develop proof of concepts against systems and simulate attacks, test controls and protections effectiveness. This position is not a full time red team position., • Vulnerability management program ownership (Wiz or comparable CSPM, bug bounty triage, SLA enforcement)., • Fraud and abuse investigation in a multi-tenant SaaS product — account takeover, credential stuffing, trial and promo abuse, toll fraud., • Open source detection tooling contributions or public speaking at security conferences Base salary range: $180,000—$220,000 USD Why join us? Key moment to join Aircall in terms of growth and opportunities ️‍♀️ Our people matter, work-life balance is important at Aircall Fast-learning environment, entrepreneurial and strong team spirit 45+ Nationalities: cosmopolite & multi-cultural mindset Competitive salary package & benefits DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionPay Rate: $100 - $120 per hour • Location: Oakland, CA, • Work Mode: Hybrid, • Duration: 12 MonthsResponsibilities:, • Own and evolve the hybrid cloud platform architecture across AWS, Azure, and Azure Local — ensuring coherence, scalability, and security., • Define and drive the long-term technical roadmap for the platform team in partnership with the Sr. Cloud Principal Architect., • Architect enterprise landing zones, subscription/account topology, network segmentation, and identity federation strategies., • Design complex hybrid networking solutions: vWAN, ExpressRoute, SD-WAN integration, network virtual appliances, cross-cloud connectivity., • Establish architecture decision records (ADRs), design principles, and non-functional requirement frameworks for the platform., • Evaluate emerging cloud services, open-source tools, and industry trends — make build/buy/adopt recommendations with clear trade-off analysis., • Lead architecture reviews for high-impact or high-risk initiatives, providing binding technical guidance., • Author and maintain enterprise Terraform module libraries — defining patterns, interfaces, security defaults, and versioning strategies., • Design and implement advanced CI/CD pipeline architectures in Azure DevOps for multi-environment, multi-subscription infrastructure delivery., • Build complex automation: multi-stage deployments, policy-as-code enforcement, drift detection, self-healing infrastructure patterns., • Implement and validate security architectures through code — private endpoints, managed identities, CMK encryption, network micro-segmentation., • Design and deploy Kubernetes platforms (AKS/EKS) with production-grade configurations: RBAC, network policies, ingress, service mesh, GitOps., • Build proof-of-concepts and reference implementations that teams can adopt and extend., • Resolve the hardest infrastructure challenges — state migration, provider upgrades, complex module refactoring, cross-account/subscription orchestration., • Serve as the senior technical escalation point — unblock Senior Cloud Architects and platform engineers on the most complex problems., • Lead cross-team architecture alignment sessions, ensuring consistent patterns across squads and workstreams., • Define code review standards, module contribution guidelines, and quality gates for the Terraform module library., • Mentor Senior Cloud Architects and platform engineers — elevate team capability through pairing, design reviews, and technical coaching., • Drive engineering culture: infrastructure-as-code discipline, automated testing, documentation-as-code, and continuous improvement., • Facilitate architecture guilds, communities of practice, and cross-functional technical forums., • Translate complex technical trade-offs into clear recommendations for leadership and business stakeholders., • Partner with enterprise architecture, security, networking, and compliance teams to shape platform standards and policies., • Influence enterprise governance frameworks — Azure Policy, AWS SCPs, tagging standards, cost allocation, and resource lifecycle management., • Drive platform observability strategy: centralized logging, distributed tracing, alerting frameworks, and AIOps integration., • Support disaster recovery architecture, ransomware resilience, and business continuity planning for platform services., • Contribute to vendor relationship management — evaluate cloud provider roadmaps, negotiate architectural patterns, and influence feature requests., • Represent the platform team in enterprise architecture boards, change advisory processes, and technology governance forums., • Support AI/ML platform infrastructure — GPU scheduling, model serving, feature stores, and MLOps pipeline architecture.Requirements:, • Bachelor's degree in Computer Science, a job-related discipline, or equivalent experience., • Minimum 8 years of hands-on experience in cloud infrastructure, systems engineering, or cloud architecture roles., • Minimum 5 years of hands-on experience writing Terraform at scale (enterprise module libraries, multi-environment state management, provider development)., • Minimum 4 years of experience designing and implementing CI/CD pipeline architectures (Azure DevOps, GitHub Actions, or equivalent)., • Minimum 3 years of experience in a technical leadership or architecture role — guiding teams, setting standards, making binding design decisions., • Demonstrated experience architecting solutions across both AWS and Azure (multi-cloud, not just single-provider)., • Proven track record of resolving complex cross-domain infrastructure challenges (networking security compute automation)., • Experience working in and leading within Agile/Scrum delivery teams.Preferred Skills:, • AWS Solutions Architect Professional or Azure Solutions Architect Expert certification., • HashiCorp Terraform Associate or equivalent IaC certification., • Kubernetes certification (CKA/CKAD) or equivalent hands-on container platform experience., • Deep expertise in hybrid networking: ExpressRoute, vWAN, Transit Gateway, Palo Alto NVA, SD-WAN, BGP routing., • Experience designing and operating enterprise landing zones (Azure CAF, AWS Control Tower, or custom)., • Knowledge of AI/ML infrastructure architecture — GPU compute, distributed training, model serving, MLOps., • Experience with platform engineering practices: internal developer platforms, self-service infrastructure, golden paths., • Familiarity with FinOps practices, cloud cost optimization, and resource rightsizing., • Experience with compliance-as-code: Azure Policy, AWS Config Rules, OPA/Rego, Sentinel., • Strong background in security architecture: zero-trust, identity federation (SAML/OIDC), private connectivity, secrets management., • Excellent communication skills — ability to present architecture decisions to executives, write technical RFCs, and mentor effectively., • Experience influencing technology strategy beyond the immediate team — enterprise architecture boards, COEs, or similar.

Job Description Job Description: We are seeking a highly skilled Senior Java Developer with strong hands-on experience in Core Java, Spring Boot Microservices, and database development. The ideal candidate will be responsible for designing, developing, and supporting scalable, high-performance enterprise applications. Experience with Azure Cloud technologies is highly desirable. Key Responsibilities • Design, develop, test, and deploy scalable applications using Core Java and Spring Boot Microservices., • Develop RESTful APIs and integrate with internal and external systems., • Analyze business requirements and translate them into technical solutions., • Participate in architecture, design reviews, and code reviews., • Troubleshoot performance, scalability, and production issues., • Collaborate with Product Owners, Architects, DevOps, and QA teams., • Follow Agile development methodologies and engineering best practices., • Contribute to CI/CD implementation and application modernization initiatives. Required Experience, • 7 years of experience in Java application development., • Strong expertise in designing and developing enterprise-grade applications using Java technologies., • Proven experience building cloud-ready, distributed systems and microservices. Required Technical Skills Core Java • Strong understanding of Java fundamentals, OOP concepts, Collections, Multithreading, Concurrency, Exception Handling, JVM, and Performance Tuning., • Experience with Java 8 features including Streams, Lambda Expressions, and Functional Programming. Spring Ecosystem Hands-on expertise with: • Spring Boot, • Spring MVC, • Spring Data JPA/Hibernate, • Spring Security, • Spring CloudMicroservices, • Design and development of Microservices-based architectures., • REST API design and implementation., • Service communication patterns, resiliency, fault tolerance, and distributed system concepts. Databases Strong experience with: • Oracle, • SQL ServerExpertise in:, • SQL, • Schema design, • Query optimization, • Stored procedures, • Performance tuning DevOps & Tools, • Git, • Maven/Gradle, • Jenkins, • SonarQube, • CI/CD pipelines, • Docker and Kubernetes (preferred) Preferred Skills, • Experience with messaging technologies such as Kafka, RabbitMQ, or Azure Service Bus., • Exposure to API Gateway and event-driven architectures., • Experience with containerization and orchestration platforms., • Knowledge of security best practices and OAuth/JWT authentication. Azure Cloud (Nice to Have) Exposure to: • Azure Kubernetes Service (AKS), • Azure Functions, • Azure Service Bus, • Azure App Services, • Azure DevOps, • Azure Key VaultExperience building and deploying cloud-native applications on Azure is a plus.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe is hiring an AI Engineer for our Developer Relations Engineering team: an engineer who builds agentic AI systems and enjoys showing other developers how they work. You will build reference agents, open-source integrations, and sample applications on Crusoe Cloud and Crusoe Managed Inference. In this role, you will lead technical content creation, community engagement, and developer outreach across AI infrastructure and managed services workloads. You will produce documentation, tutorials, white papers, sample applications, and video guides. You will partner with the Product, Engineering, Research, and GTM/Solutions Engineering teams and work across the open-source agent ecosystem. You will spend most of your time building and then sharing what you build. What You'll Be Working On: Agentic Reference Systems: Architect and ship end-to-end reference agents and starter kits on Crusoe that developers can use as a starting point for production, covering tool use, MCP, multi-agent orchestration, RAG, structured outputs, memory, and evals. Examples & Documentation: Own the code examples, tutorials, and documentation that help developers go from first API call to working agent, and keep them tested and up to date as the ecosystem changes. Open Source & GitHub: Own Crusoe's developer-facing GitHub presence, including examples, cookbooks, and integrations. Contribute upstream to agent frameworks, inference engines, and developer tooling (for example LangGraph, LlamaIndex, CrewAI, Pydantic AI, the OpenAI Agents SDK, MCP, vLLM, and SGLang) so they work well with Crusoe. Technical Content & Video: Turn the systems you build into content developers rely on: deep-dive blog posts, notebooks, YouTube videos, livestreams, and short technical clips. Building in Public: Share your work on X, LinkedIn, YouTube, Discord, Reddit, Hacker News, etc. Answer technical questions, review community projects, and become a trusted technical voice in the agent and open-source community. Use-Case Blueprints: Partner with GTM/Solutions Engineering to spot recurring customer patterns and turn them into open reference architectures for developer segments such as Physical AI, robotics, simulation, and other industry verticals. Product & Research Partnership: Join Product, Engineering, and Research workflows. Test features and models before launch, make sure samples and docs are ready on launch day, and bring developer friction back as concrete product input, following each issue until it is fixed or explicitly deprioritized. Talks & Workshops: Give technical talks, live demos, and hands-on labs at conferences, meetups, hackathons, and workshops. What You'll Bring to the Team: Engineering Experience: 5+ years as a software engineer, ML engineer, applied AI engineer, forward-deployed engineer, or in a similar hands-on engineering role, with strong Python. A Developer Relations title is not required. Engineering Credibility: Ability to earn credibility with both AI infrastructure engineers and ML/AI engineers. Agentic AI: Hands-on experience building LLM applications and agents with tool calling, MCP, retrieval, memory, and evaluation, using one or more frameworks such as LangGraph, LlamaIndex, CrewAI, Pydantic AI, or the OpenAI Agents SDK. You have well-formed opinions about what works and what breaks in production. Cloud Infrastructure: Experience working with cloud computing platforms (such as AWS, GCP, or Azure) or managed AI solutions, with a foundational understanding of cloud infrastructure concepts. Inference & Model Serving: Working knowledge of how models are served, including OpenAI-compatible APIs, open-weight models, and serving engines such as vLLM or SGLang. You can explain cost and latency tradeoffs credibly. Public Track Record: Evidence of sharing technical work in public through GitHub repos, open-source contributions, blog posts, videos, talks, or an active technical presence on social platforms. Please include links when you apply. Technical Communication: Strong communication skills across written and verbal formats, including technical documentation, white papers, video explainers, and presentation decks. Ownership & Collaboration: You work well across teams, set your own priorities, and ship in a fast-moving environment. Travel Requirement: Ability to travel up to 20%. Education: Bachelor's/Master's/PhD degree in Computer Science, or equivalent practical experience. Bonus Points Maintainer or significant contributor to an open-source AI, agent, or inference project Experience producing technical video content such as YouTube tutorials, livestreams, or screencasts Experience fine-tuning or post-training open-weight models (SFT/RL/LoRA) An existing technical audience that trusts your views on models, agents, and tooling Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $180,000-$220,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description The Lead Software Engineer leads teams of software engineers and assures they work closely with IT Architects, Project Managers, and Business Systems Analysts to understand requirements and functional specifications, create technical design documentation, and develop WCIRB business applications. The Lead Software Engineer serves as a role model and works in accordance with IT standards and best practices and contributes to the ability of the IT organization to provide efficient and effective solutions to our business partners and customers. As a leader in the IT Engineering Team, the Lead Software Engineer plays an integral role in the development and maintenance of custom business applications at the WCIRB. As such, this position requires the ability to lead along with broad information systems experience, a detail-oriented mindset, excellent problem-solving and analytical skills, and effective communication skills. Essential Duties and Responsibilities • Provide technical expertise, project oversight, communication, and collaboration within the assigned development team(s) and with stakeholders, guiding and ensuring projects meet specifications., • Play a key role in architecting, designing, and building performant and scalable solutions using the Microsoft .NET Core stack and Azure platform., • Design and develop software applications on all levels (full stack)– persistence, business logic and service layers, frontend, and APIs., • Write scalable, testable, high-quality code that meets requirements., • Mentor engineers in Software Engineering best practices via design and code reviews. Ensure delivery of high-quality, value-driven, operationally efficient features that support technology platforms and business initiatives., • Own the software development life cycle. Lead development work and provide vision from project inception to architecture planning, development, release, and production., • Build robust relationships across development teams, business analysts, and all key stakeholders involved in projects., • Collaborate closely with other teams (and leaders) to help with continuous improvement of the architecture, tools, and processes., • Communicate effectively with all levels of the organization while keeping leaders apprised of strategies, operational progress, issues, concerns, mitigation, and remediation plans. Qualifications The individual must be able to perform each essential duty. The requirements listed below are representative of the knowledge, skills and/or abilities required • Bachelor's or master's degree in computer science, or equivalent experience., • 8 – 10 years of hands-on experience in designing/architecting enterprise software solutions including cloud-based applications using C#, .NET Core, ASP.NET Core, Entity Framework and Web/Rest API., • Hands-on application development experience using Azure components such as Azure SQL Database, Azure Blob Storage, App Service, Azure Functions, Service Bus, Queues, Azure API Management, etc., • Experience using best practices, patterns and approaches to address the challenges inherent in re-engineering existing, complex systems., • 5+ years using Azure Dev Ops - especially Repositories and Pipelines., • 3+ years developing UI-based applications leveraging modern practices and tools such as Responsive Design, Bootstrap, Modular CSS, Ajax., • 3-5 years of prior experience leading and mentoring teams of software engineers., • Ability to build relationships, balance multiple priorities, and communicate across diverse teams., • Ability to deal with ambiguous situations., • Experience working with Agile/Scrum methodology., • Effective communication and problem-solving capabilities. Physical Demands The physical demands described in this section are to be representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. • Job requires 80% sitting and 20% moving about the office, • Significant amounts of time spent at a PC using keyboard and/or mouse, • Significant amounts of time spent reading manuals and related computer course materials. Work Environment The work environment characteristics described in this section are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. • Frequent interaction with employees of different departments and divergent skills with WCIRB software and hardware, • Occasional periods of high stress and moments requiring quick, knowledgeable decision-making Perks & Benefits Our employees enjoy a state of the art, energy-efficient, open work environment that nurtures collaboration and creativity. At the WCIRB, we go the extra mile to keep our employees happy and healthy. Our perks include: • Hybrid work environment (40% onsite 60% remote), • Medical, dental and vision benefits, • Competitive PTO Program, • 401K and pension plan, • Annual incentive plan, • Social activities, • Community volunteer involvement

Job DescriptionSenior Discovery IT System Administrator Employment Type: Full-Time, Executive-Level Department: Legal CGS is seeking a dedicated Senior Discovery IT System Administrator to join a fast-paced and hard-working team to assist with any legal accounts. As a Senior Discovery IT System Administrator, you will play a key role in supporting various aspects of the company's portfolio. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: The Contractor shall provide the following services to include but not limited to: - Contractor shall ensure the day-day availability of electronic discovery applications and related tools; - Contractor shall administer and monitor all installed systems and infrastructure, install, configure, test and maintain operating systems, application software and system management tools; - Contractor shall monitor and test application performance for potential bottlenecks, identify possible solutions, and work with vendors and developers to implement fixes; - Contractor shall maintain security, backup, and redundancy strategies; - Contractor shall assist technical architecture design discussions; - Contractor shall liaise with vendors on behalf of OGC to address product issues; - Contractor shall develop and provide training for the end-users; - Contractor shall provide general support, subject matter expertise and advice on the use of electronic discovery tools and applications; - Contractor shall reverse engineer and document the as-is architecture of existing legacy applications or systems; - Contractor shall analyze capabilities, interview and collect business requirements and translate it into technical requirements; - Contractor shall support the discovery application integration/migration activities; - Contractor shall contribute to the Knowledge Management databases by creating and improving technical knowledge articles to assist in future resolution of issues; - Contractor shall have legal technology experience and knowledge of the EDRM; - Contractor shall assist in the implementation of e-discovery tools ( i.e. Relativity, Veritas eDP, or other review platform applications hosted in the cloud environment; - Contractor shall have the skills, knowledge and abilities to support backend infrastructure, data migrations, application installation, management and configuration; - Contractor shall have the ability to install, operate, and manage Microsoft server 2019/2022 and Microsoft SQL Server 2019/2022; - Contractor shall have ability to operate, and manage cloud technologies to include Microsoft Azure, Amazon AWS, VMware, Azure servers, Azure Functions, and Azure API Gateways and/or AWS EC2 servers, AWS Lambda and AWS API Gateways; - Contractor shall have ability to operate and manage relational databases, MySQL and/or SQL Server 2012 or higher. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Phone: +1 (888) 680-5916Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description CoreWeave 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 SaaS Specialist team makes sure customers get real, lasting value out of the CoreWeave SaaS platform — not just at kickoff, but as they scale. You'll work closely with Sales, Support, Product, and Engineering, and you'll spend real time hands-on with customers: in workshops, in their architecture reviews, and in their toughest integration problems. About the Role We're hiring a Specialist Field Engineer, SaaS to help customers get the most out of our platform and to help our own field teams sell and deliver it well. You'll wear a few hats: teacher, builder, and trusted advisor. Some days you're running a workshop that turns a customer's vague idea into a clear technical plan. Other days you're heads-down building a reference architecture or demo that the whole field team can reuse. And sometimes you're the person who steps into a hard customer integration and gets it unstuck. In this role, you'll: • Teach the field team what they need to know — through feature walkthroughs, playbooks, demo guides, and office hours — so they can sell and deliver with confidence., • Focus your time on what matters most to the business, by lining up your work with our top product and go-to-market priorities., • Design and run hands-on workshops for customers — architecture reviews, feature adoption sessions, and post-sale planning — that leave them with a clear next step., • Build reusable accelerators — reference architectures, sample code, demo environments, integration templates — so good patterns don't have to be reinvented for every customer., • Jump into high-priority customer engagements when deep, hands-on technical work is needed to unblock a deal or prove out a workflow., • Contribute directly to the product — examples, integrations, demo apps, internal tools, docs, and the occasional bug fix — through the normal engineering review process., • Help customers design, test, and troubleshoot integrations with the SaaS platform — APIs, data flows, identity and access, and third-party systems — and feed what you learn back into better docs and accelerators.Who You Are, • 3+ years in a similar customer-facing technical role (solutions engineering, SRE, field engineering, or similar)., • Comfortable in Python and confident writing and reading code with customers watching., • Hands-on experience with Docker, Kubernetes, and Infrastructure-as-Code tools like Terraform., • Solid experience with at least one major cloud platform (AWS, GCP, or Azure); comfortable across more than one is even better., • Comfortable working in Linux/Unix environments day to day., • Strong communicator — you can explain a technical idea clearly to an engineer and just as clearly to a customer executive., • Good at breaking down a messy, open-ended problem into a clear plan, working closely with the customer along the way., • Able to juggle multiple customers and priorities without dropping the ball, even when things move fast.Preferred Qualifications, • Experience building workshops, playbooks, or enablement content for a field or sales team., • Background in MLOps or LLMOps, or building ML/AI pipelines end to end., • Experience with GenAI tooling and working with LLMs., • Familiarity with data pipeline tools and common integration patterns (identity/access, third-party systems, data flows)., • A track record of shipping reusable technical assets — sample code, demo apps, internal tools — that other engineers picked up and used. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why Us? 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 $182,000 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • 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 California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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 DevOps Engineer Location: Burlingame, CA Department: ESS Engineering Reports to: Senior Manager, Software Engineering Position Type: Full-time About the Company Peak Energy is the first American venture to advance globally proven sodium-ion battery systems as the storage standard for the new era of renewable energy on a resilient grid. Sodium-ion is cheap, readily available, and safe — making it the leading contender in a rapidly evolving market. Our leadership team is powered by decades of expertise in scaling gigawatt-level innovation at world-class companies such as Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, SunPower, and Fluence. We are backed by strategic investment and product partners including TDK Ventures, Eclipse Ventures, and GM Ventures. We recently announced America's first sodium-ion grid storage factory in Sacramento with production starting Q1 2027, and over $1B in signed customer commitments including Jupiter Power and Energy Vault. About the Role Peak Energy is looking for a DevOps Engineer to build and scale the cloud infrastructure, deployment pipelines, and automation systems supporting our grid-scale battery storage technology. As Peak grows from pilot deployments to gigawatt-scale production, our software infrastructure must scale alongside our products. You'll help establish the foundation that enables our engineering teams to develop, test, and deploy software efficiently and reliably. This is a hands-on infrastructure engineering role focused on cloud services, Infrastructure as Code, database provisioning, CI/CD pipelines, and deployment automation. You'll build and maintain the systems that connect our development environments, manufacturing operations, and deployed battery systems to the cloud. You'll work closely with software, test, and manufacturing engineering teams to improve automation, reliability, and scalability across our software infrastructure. What You'll Do • Design, build, and maintain cloud infrastructure supporting Peak's battery storage software, data pipelines, and engineering applications., • Develop and maintain automated CI/CD pipelines for software builds, testing, and deployment across development and production environments., • Define, provision, and manage cloud resources using Infrastructure as Code tools such as Terraform, establishing scalable and repeatable infrastructure practices as Peak expands its manufacturing operations and deployed battery fleet., • Partner with software and test engineering teams to integrate automated testing and validation into development and deployment workflows., • Implement monitoring, logging, and alerting to improve infrastructure reliability, performance, and observability. What You'll Bring (Minimum Qualifications) • 4+ years of experience in DevOps, infrastructure engineering, platform engineering, or a related technical role., • Hands-on experience with Infrastructure as Code, particularly Terraform or equivalent tooling., • Experience designing, building, and maintaining CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, or similar tools., • Experience provisioning, configuring, and managing cloud infrastructure on Azure, AWS, or GCP., • Experience deploying and managing cloud databases, including PostgreSQL or similar relational database systems., • Proficiency in Python, Bash, or other scripting languages for infrastructure automation., • Experience with cloud networking, access management, monitoring, and infrastructure security., • Experience supporting software deployments and troubleshooting production infrastructure., • Experience with Docker, Kubernetes, or containerized application deployments. Preferred Qualifications • Experience with Microsoft Azure services, including Azure Functions, Service Bus, Azure Monitor, or Azure Database for PostgreSQL., • Experience with IoT device infrastructure and management., • Experience supporting automated testing infrastructure, hardware-in-the-loop testing, or engineering validation environments., • Familiarity with data ingestion pipelines, streaming infrastructure, or cloud-connected devices., • Experience with observability and monitoring tools such as Grafana, Datadog, or Application Insights., • Experience supporting manufacturing systems, industrial automation, IoT, or hardware-integrated software., • Familiarity with database administration, backup and recovery, and infrastructure performance optimization., • Prior experience building infrastructure and deployment processes in an early-stage or rapidly scaling engineering organization. Our Core Values • Speed Through Focus — Move fast but understand why. Focus on the goal, don't sacrifice quality., • Mission Over Self — Put the company's mission and team success ahead of individual interests., • Face the Brutal Truth — Transparency, honesty, big-picture curiosity. Fearless decision making., • Be a Good Person — Kindness, collaboration, and teamwork. Compensation & Benefits The salary range for this role is $180,000 - $240,000, with actual pay varying based on work location, experience, and skills. Our competitive benefits package includes: • Flexible time off, • Comprehensive medical, dental, and vision coverage, • Strong 401(k) plan, • Equity opportunities, • Many great work perks Join us to thrive in a supportive environment while making a meaningful impact in the energy sector! At Peak Energy Technologies Inc., we believe that a diverse and inclusive workplace makes us a more capable, innovative, and competitive company. We welcome people who represent diversity in their backgrounds, ethnicities, cultures, and experiences. Peak Energy Technologies Inc. is an equal opportunity employer, aiming to reach our company's full potential by cultivating an inclusive workforce. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.

Job DescriptionDirector, Strategy & ConsultingPrimary Skills • Project Delivery Management, Manage Fixed Price Delivery, Business Excellence, Estimations and Metrics, Client Management, SAFe- Adv. Scrum Master (SASM), SAFe- Agile SW Engineering (ASE), Communications Management, SAFe- Adv Product Manager (APM), Revenue Recognition and Invoicing, SAFe- Leading SAFe (SA), Agile, Agile Metrics and Reporting, Professional Scrum Master-CSM/ PSM1, Manage Outcome Based Delivery, Requirements Creation/User Stories, Digital Accumen, Agile Coaching, Change Management (Project Management), Agile SAFE framework, Backlog Grooming, Business Operations, Agile Facilitation and LeadersJob requirements, • Experience Range: With at least 18 years of experience in IT, including significant expertise in data engineering, analytics, and practice leadership spanning global teams. Key Responsibilities: 1. Drive the growth and expansion of the data engineering and analytics practice across North America, achieving measurable revenue and profitability targets. 2. Develop and execute go-to-market strategies and solution offerings, enabling sales and client partner teams to effectively sell Data and AI services. 3. Build and manage large delivery and technology teams, ensuring high performance and resilience across global locations such as India, Europe, the US, and near-shore centers. 4. Establish and nurture executive-level relationships with client stakeholders, advocating for customer success and delivering strategic value. 5. Shape and lead large deal strategies, demonstrating successful outcomes and elevating practice messaging across alliances, analyst relations, external events, websites, and social media. 6. Direct delivery execution, providing hands-on leadership and guidance to technology and consulting teams. 7. Foster a culture of collaboration, innovation, and excellence, empowering teams and developing leadership capabilities across delivery, technology, and program management. 8. Serve as a thought leader in the market, influencing industry trends and elevating the brand through strategic initiatives. Required Skills: 1. Advanced proficiency in data engineering and analytics platforms 2. Deep understanding of Data Science and AI technologies 3. Cloud expertise with Azure, AWS, or GCP 4. Hands-on experience with reporting and data management tools such as Power BI, Tableau, Looker, Alteryx, or Domo 5. Web analytics tools including Google Analytics, Adobe Analytics, Optimizely, Wordpress, and A/B testing platforms 6. Statistical analysis techniques such as regression, hypothesis testing, and cluster analysis 7. Programming proficiency in SQL, R, Python, and Java Preferred Skills: 1. Experience running workshops and discovery sessions with clients 2. Consultative solutioning and roadmap development 3. Expertise in business operations and digital acumen 4. Advanced knowledge of agile frameworks and methodologies 5. Familiarity with analytics-driven marketing and retargeting tools Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related discipline 2. Certification in SAFe- Leading SAFe (SA) or equivalent agile credentials Additional Information: GTM role based out of West Coast We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Us At Office Ally, we've been revolutionizing healthcare administration since our inception. What started as a clearinghouse focused on simplifying insurance claims processing for healthcare providers has grown into a full-suite healthcare technology company. We offer a range of affordable, cloud-based revenue cycle management solutions –from eligibility verification and claims management to revenue recovery and payment processing –that help healthcare organizations of all sizes streamline operations and reduce administrative burdens so they can focus on what matters most: patient care. In April 2026, Office Ally acquired Jopari Solutions, Inc, a leader in straight-through electronic claims processing for Property & Casualty (P&C), Commercial, and Government healthcare. Jopari brings deep industry expertise and innovative enterprise payment solutions that are transforming how disbursements are handled across the insurance ecosystem. Together, we are expanding our capabilities across the full healthcare transaction lifecycle, connecting claims, payments, and data exchange to deliver a more seamless and efficient experience for providers, payers, and partners. At the core of our company are four key values that guide our mission and work: • Ownership: We take pride in our responsibilities, driving results and taking accountability for the success of our projects., • Empowerment: We believe in giving our team the autonomy and support to make decisions that lead to innovative solutions., • Innovation: We continuously seek new and better ways to improve healthcare administration, embracing creativity and forward-thinking technology., • Transparent Communication: Open, honest communication is at the heart of our collaborations, internally and with our clients, ensuring alignment and trust. About the Role This is an opportunity to join a growing company transforming healthcare technology through modern electronic billing, payments, and secure data exchange solutions across the Property & Casualty and Healthcare industries. As a Senior Full Stack Development Engineer, you will play a key role in designing, building, and maintaining scalable applications and APIs that power mission-critical healthcare and insurance workflows. This role focuses on backend architecture, service development, data processing, and system integration, ensuring high performance, reliability, and maintainability across platforms. You will work across multiple initiatives, partnering with product, engineering, and implementation teams to deliver robust backend capabilities that support complex transaction processing and customer integrations. You will also leverage modern engineering practices, including AI-assisted development tools (Claude Code, GitHub Copilot) to improve development speed and efficiency, and apply modern testing approaches such as automated API and workflow validation (e.g., Playwright, where applicable) to ensure system reliability. This role is central to building and maintaining the backend systems that power our core products and integrations. You will directly impact system scalability, reliability, and performance across multiple customer-facing and internal platforms. Your work will help ensure that complex healthcare and insurance transactions are processed accurately, efficiently, and securely at scale. This is a hybrid role based in Concord, California, with an expectation of working in the office at least two days per week. What You'll Do • Design, develop, and maintain backend services, APIs, and core platform components, • Build scalable systems using Java and Spring Boot or similar frameworks, • Develop and support RESTful APIs and service integrations across internal and external systems, • Participate in system design and architecture discussions for scalable backend solutions, • Work closely with product, implementation, QA, and engineering teams to define technical requirements, • Support complex data processing, transformation, and integration workflows, • Ensure backend systems are secure, reliable, and performant under high transaction volumes, • Utilize Claude to support development, accelerate problem-solving, and improve productivity while maintaining high code quality., • Contribute to CI/CD pipelines, deployment automation, and DevOps practices, • Write clean, maintainable, and testable code with strong unit and integration test coverage, • Apply modern engineering practices, including shift-left testing and continuous quality improvement, • Use AI-assisted development tools (Claude Code, Copilot, etc.) to accelerate development, debugging, and analysis, • Improve system observability through logging, monitoring, and diagnostics enhancements, • Troubleshoot production and integration issues as needed What You'll Need • Bachelor's degree or equivalent experience in Computer Science or related field, • 8+ years of backend software engineering experience, • Strong experience in Java and backend service development, • Solid understanding of RESTful APIs and distributed systems design, • Experience with Spring Boot or similar backend frameworks, • Strong SQL experience (Oracle preferred) and familiarity with NoSQL databases, • Experience working with cloud platforms (AWS, Azure, or GCP), • Experience and passion around working with AI: Copilot, Claude, Windsurf, Gemini Code, or similar, • Experience with containerization (Docker) and orchestration (Kubernetes), • Familiarity with CI/CD pipelines (Jenkins or similar tools), • Deep understanding of Agile development methodologies, • Experience building maintainable, scalable backend systems Nice to Have • Experience in healthcare, insurance, or financial services systems, • Exposure to high-volume transaction processing or integration-heavy environments, • Experience with event-driven architectures or messaging systems (Kafka, RabbitMQ, etc.), • Familiarity with Elastic Cloud, • Experience with API testing or workflow automation tools (Playwright, Postman, etc.), • Knowledge of system observability tools (ELK, Prometheus, Datadog, Grafana, etc.), • Strong debugging and production troubleshooting skills, • Experience working with sensitive data and compliance requirements (HIPAA / PHI / PII), • Strong communication skills and ability to collaborate across technical and non-technical teams Pay Transparency Office Ally is committed to fair and equitable compensation practices in alignment with pay transparency laws. Compensation for this position may vary based on individual skills, experience, and location. In addition to base pay, employees may be eligible for performance-based bonuses and a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) with company match, paid time off, and other benefits. Actual compensation will be determined considering the candidate's qualifications, relevant experience, and internal equity. Office Ally Pay Transparency $120,000—$150,000 USD Why You'll Love Working at Office Ally At Office Ally, your work has a direct impact on healthcare providers and their ability to deliver exceptional care. We're driven by a mission to simplify healthcare administration, making it easier for providers to focus on what they do best—helping patients. As an Office Ally employee, you'll be at the heart of our efforts to deliver exceptional service and software solutions to our clients in the healthcare space. EEO Note Office Ally is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.

Job Description Power BI Developer Employment Type: Full-Time, Mid-level Department: Information Technology CGS is seeking a Power BI Developer to join our team in supporting a wide-ranging technical support initiative for a large Federal agency. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: - Build Data Analytics enterprise models using Microsoft’s Power BI - Develop tabular, multidimensional models compatible with warehouse standards - Develop self-service models, and data analytics using Power BI service - Experience with Microsoft Azure platform and service (Power BI, Flow, Cortana, etc.) - Experience working with data gateway, data integration, self-service data preparation - Develop, publish, and schedule reports and dashboards to meet business requirements - Assist business users with functional and data requirements to enhance data models - Experience in requirement analysis, design, and prototyping - Strong understanding of Data Analytics application security layer models - Experience with ESRI or similar geographical mapping systems and tools is desired - Experience working with Government personnel at the CTO or SES level. Qualifications: - Bachelor's degree or equivalent in Computer Science or related field. - 2-4 years of development experience in Data Analytic technologies - Knowledge in Microsoft enterprise cloud technologies such as Dynamics 365 CRM, Office 365, Microsoft Azure - Strong experience in SQL and RDBMS technologies - Experience working in Agile project deliveries and delivering to tight timescales - Web API Experience - Knowledge of Azure DevOps (VSTS) - ETL, SSAS, and SSIS experience - SSRS Reporting knowledge Ideally, you will also have: - Experience with Government software development policies and procedures - Client-facing communication experience - Federal Agency issued security clearance Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role Crusoe is building the infrastructure layer that powers the most demanding AI workloads on the planet. Our storage stack is what keeps tens of thousands of GPUs fed with data, whether that means block volumes for fast bootups, a shared file system for a training cluster, or the object storage tier a physical AI customer depends on. As a Principal Product Manager on our AI Infrastructure team, you will own the long-term architecture and technology strategy for Crusoe's storage foundation: how we build our storage stack at scale, from hardware and vendor selection to fleet-wide deployment architecture. This is a foundations role. You will work as a peer to our most senior infrastructure engineers and architects, and make the long-term architecture, vendor, and technology decisions that determine whether our storage platform can scale for years, not just for the next customer request. You will partner closely with Infrastructure Engineering, Cloud Software Engineering, and Architecture to translate future workload, fleet, and customer requirements into infrastructure requirements, and manage the vendor relationships that keep our storage stack world-class for AI at scale. What You'll Be Working On Long-term vision: Define the 2-4 year vision and roadmap for Crusoe's storage foundation, across block, file, object, local NVMe, and archival tiers. Architecture and hierarchy: Own the long-term storage architecture and hierarchy Vendor management and technology strategy: Own Crusoe's long-term vendor management strategy for the storage stack, and shapes our cost structure, capital allocation, and competitive position. Platform targets: Set the performance and durability targets the platform must hit, including storage cost per usable TB and capacity efficiency. Scale for AI: Own the future architecture required to support significantly larger AI clusters and fleet scale. Structural investment: Identify structural limitations in the current architecture and prioritize the long-term investments that resolve them. Engineering partnership: Partner with Infrastructure Engineering and Architecture on major technical tradeoffs, and define the product requirements and business rationale behind foundational investments. Industry scouting: Actively scout the industry for emerging storage technologies and vendors, and represent storage foundations in leadership reviews. What You'll Bring to the Team Bachelor's degree in electrical engineering, computer science, or a related field. 8+ years of technical product management experience, or product-minded infrastructure engineering experience, with a track record of owning architecture-level outcomes at Principal or equivalent scope, specifically focused on cloud storage or related infrastructure. Subject matter expertise in storage, with the credibility to operate as a peer to senior infrastructure engineers and architects. Strong technical understanding of cloud storage architectures, including block, file, and object storage, at hyperscale. Experience managing long-term vendor strategy and vetting in-house software engineering investment for storage hardware and software. A strong grasp of infrastructure economics at scale, including cost per usable TB and capacity efficiency. Analytical mindset with the ability to use data to inform multi-year infrastructure decisions. Exceptional communication skills, with the ability to translate technical tradeoffs into clear narratives for engineering leadership and executives. Bonus Points Experience with AI/ML infrastructure, including training and inference workloads in the cloud. Direct experience with high-performance storage networking, such as RDMA or GPUDirect Storage. Experience with a major cloud provider (AWS, Azure, GCP) and their storage services, or a deep understanding of cloud-native storage principles at hyperscale. Experience managing or mentoring other product managers Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $$285,000 - $335,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description CoreWeave 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: CoreWeave is the AI-first cloud where every layer, from compute and networking through orchestration, observability, and the broader AI tooling stack, is purpose-built for AI workloads. The Field Engineering team owns the technical relationship with every CoreWeave customer. We partner with Sales, Support, Product, and Engineering to deliver technical success across the full customer lifecycle. You'll work hands-on with some of the most advanced AI teams in the world as they build, train, deploy, and scale their workflows. Greenfield is where we meet the next generation of those teams — net-new customers that haven't yet built on CoreWeave. We hire technical, AI Solution Architects who want to operate the full stack, own customer relationships end-to-end, and grow on a visible technical ladder that recognizes customer impact above all. About the role: The Account Solutions Architect, Engaged is the named technical partner to existing customers across CoreWeave's full platform — infrastructure, Models, Weave, observability, and inference. You'll help AI teams solve real-world problems by deepening platform adoption, identifying and driving expansion opportunities, strengthening relationships with key technical stakeholders, and serving as a trusted advisor as customers scale their AI workloads in production. You'll partner closely with Account Managers on the commercial motion, with Specialist Field Engineers for deep domain expertise, and with customer teams to ensure they are getting maximum value from CoreWeave. You'll represent the voice of the customer internally, surface product feedback from the field, and proactively address technical blockers and business-critical needs to ensure customer success. This role is for customer-focused AI practitioners who are excited to help leading AI companies deepen their partnership with CoreWeave and scale the next generation of AI workloads in production. Who You Are: • 4+ years of relevant experience in a solutions engineer, AI-oriented solutions consultant, or technical field engineering role., • Proficiency in Python, • Hands-on experience training, fine-tuning, evaluating, and deploying deep learning models, including modern LLM architectures, • Experience designing and deploying production LLM-powered applications for customer use cases, • Familiarity with running AI workloads least one major cloud platform (AWS, GCP, or Azure), • Demonstrated ability to break down and solve complex, often novel, technical problems with enterprise customers, • Excellent written and verbal communication and presentation skills, with the ability to translate technical concepts for both engineering and executive audiences Preferred: (if applicable) • Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage, • Familiarity one or more deep learning frameworks (PyTorch) and modern LLM stack (VLLM, langchain / LlamaIndex), • Experience using Slurm or Kubernetes for ML job orchestration, • Experience with hyperparameter optimization and experiment tracking tools\, • Background in ML Engineering, AI Engineering, MLOps, or LLMOps, • Prior experience in a technical pre-sales or solutions architecture role focused on net-new logos or greenfield accounts, • Familiarity with high-performance GPU infrastructure (e.g., NVIDIA H100/H200/B200, InfiniBand networking, parallel file systems) Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You'd rather show than tell — you build the demo or PoC instead of just pitching it., • You get excited by empty whiteboards —new customers, novel problems, new playbooks for AI natives., • You're genuinely curious about your customers' work — what they're building, what's getting in their way, what success looks like for them. 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 Employee The base salary range for this role is $182,000 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • 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 California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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 About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: DevOps / SRE / Cloud Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities • Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks., • Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, observability, and infrastructure automation., • Identify bugs, edge cases, reliability issues, and failure modes., • Compare outputs from multiple frontier models and assess their strengths and weaknesses., • Apply professional engineering judgment to realistic infrastructure engineering scenarios., • Work independently and asynchronously to meet sprint-based project deadlines. Qualifications Must-Have • 2+ years of professional DevOps, SRE, or Cloud Engineering experience., • Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling., • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools., • Ability to evaluate model-generated infrastructure and reliability engineering solutions. Preferred • Experience supporting production-scale systems. Compensation & Legal • $400 per accepted task., • Compensation is tied to accepted work. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor

Job DescriptionAbout Flexion At Flexion, we are building the autonomy stack for humanoid robots. Our mission is to drive the transition from fragile prototypes to real-world deployments of humanoids. We were founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich) and backed by leading international VC firms. In just months, we went from our first line of code to deploying real humanoid capabilities with our customers, leveraging simulation and reinforcement learning. Today, we are rapidly expanding the capabilities of our autonomy stack, our customer base, and our team. The role We are looking for an experienced ML engineer to join Flexion’s experienced infrastructure team and take ownership of Flexion’s GPU compute platforms. This is a senior, on-site role with significant scope. At Flexion, we are building the brain for humanoid robots, which involves training foundation models with vast amounts of data on large GPU clusters. You will own the design, bring-up, operation and optimization of performant clusters. You will work with AI engineers to help them optimize their training speed and hardware utilization. You will also influence strategic compute planning and contribute to new tools and platforms for iterating on our AI models efficiently. This will put you at the heart of Flexion’s AI development and allow you to directly impact the execution of our ambitious roadmap. You will closely collaborate with the company’s leadership, engineers of the infrastructure team and AI engineers across the company. Key responsibilities • Architect, run and continuously improve existing and future cloud-based GPU clusters. Select the best frameworks and tooling to run our clusters efficiently. Work on cluster provisioning, job schedulers and monitoring systems., • Help AI engineers optimize their training workloads and maximize hardware utilization using profilers, contributing to our core ML libraries., • Contribute to short- and long-term GPU compute strategies in collaboration with our AI engineering teams and help execute on them., • Optimize capacity and cost by exploring multi-cloud strategies and evaluating trade-offs., • Raise the bar on engineering practices, including testing, code quality, documentation, and system reliability. Requirements • Degree in Computer Science, Electrical Engineering or Software Engineering (or equivalent practical experience) plus significant industry experience., • Hands-on experience with the training or inference of large models (billions of parameters) on distributed multi-node GPU hardware. This can include bringing up and running the cluster, writing and optimizing training/inference code, building ML pipelines, etc., • Proficiency in Python and working knowledge of PyTorch., • Deep understanding of distributed training concepts (DDP, FSDP, NCCL)., • Experience with at least one cloud platform (AWS, GCP, Azure or neoclouds) or large-scale on-premises GPU infrastructure., • Experience with job scheduling and orchestration tools: Slurm and/or Kubernetes/KubeRay. Nice-to-haves • Familiarity with profilers (e.g., PyTorch Profiler, Dynolog, HTA, Nsight)., • Experience with high-performance or parallel file systems (e.g., Lustre)., • Experience provisioning compute on multiple cloud providers., • Experience with infrastructure-as-code and configuration management (Terraform, Ansible). Benefits • Competitive Compensation, • Joining a leading robotics team & exposure to never-done-before research, • Energetic, collaborative culture with a bias for action and regular community events Zurich • Enhanced pension plan, • Relocation & permit sponsorship, • Enhanced holiday & paid leave perks, • Central Zürich office with top-tier robotics testing facilities and infrastructure San Franciso • 401(k) with company contributions, • Health, dental & vision coverage with the flexibility to choose your own plan, • Open PTO policy & paid company holidays

Job Description What We Do Network Right is on a mission to create a human-centric, innovative, next-generation world of IT. We are disrupting the IT service industry by offering custom solutions to each individual client. At Network Right, we’re bridging the gap between IT and People by offering unique support based on the needs of growing businesses, and making employee lives easier through technology. Why Join You’ll get exposure to a multitude of IT systems, build networks and connections, and test and implement the latest and greatest technology. You’ll also be involved in strategic tech stack and project planning. In addition, you’ll be part of a passionate team supporting businesses with offices all around the world. And of course, you’ll be helping companies of all sizes work more efficiently by solving real world IT problems with flexible solutions. We’re an organization that really cares about its clients and its people, and we demonstrate this every day! We’re a close-knit team working together to build something exceptional/extraordinary. And of course, we’re all technology nerds who love interacting with people! About the Role The Senior IT Consultant is the technical backbone of our service delivery team. You are the person our technicians escalate to when things get hard, and you are the person our clients trust to run the room. You own accounts. You build things. You solve problems that others can't. This is not a role for someone who maintains what is already there. We need someone who has rolled up their sleeves and built systems from the ground up, navigated environments that were a mess when they arrived, and left them significantly better. You'll work directly with our IT Manager and take ownership of a portfolio of client accounts, handling them at a high level while collaborating with our technicians on day-to-day execution. You will be the buffer that keeps the most complex work from flowing back up, and will help up-level the team around you. Compensation: We offer a compensation range of $95,000-110,000 (+ annual bonus) for this role. Where you land depends on your experience with our preferred tech stacks and the tools you have deep working knowledge about (ie more than just administration). Location: We are hiring for each of our Hubs: SF, NYC, and Remote. Our SF and NYC team require onsite support. Sponsorship: Network Right is not currently able to provide visa sponsorship. Applicants must be authorized to work in the United States without sponsorship now or in the future. What You Will Do Own a portfolio of client accounts at a senior level, serving as the primary point of contact and running client syncs with confidence Serve as the escalation point for our technicians on complex technical issues across MDM, identity, networking, and cloud platforms Build and configure systems from scratch or lead significant infrastructure rebuilds, not just maintain what is already in place Administer and optimize identity platforms, particularly Okta, including workflows and automations beyond basic user and group management Lead MDM deployments and policy configuration across Jamf, Kandji, Intune, or similar, with the ability to build from the ground up Manage both Mac and Windows environments comfortably, with deep expertise in at least one Drive SaaS administration across Google Workspace, Microsoft 365, and the broader client stack Develop onboarding, offboarding, and automation workflows that create real operational leverage Support networking infrastructure, troubleshooting, and standardization across client environments Contribute to documentation, compliance readiness, and process building in a way that scales What We Are Looking For 4+ years of hands-on IT experience in a fast-paced, multi-client environment You have built IAM workflows, configured automations, and done more than create users and groups MDM experience where you were the person who built it, not just the person who inherited it Deep working knowledge of either Google Workspace or Microsoft 365, with the ability to go well beyond basic administration Strong Mac and Windows proficiency; Mac-only or Windows-only comfort will be a gap Networking fundamentals solid enough to troubleshoot and configure in a wide range of environments Experience running client-facing calls and communicating confidently with non-technical stakeholders A genuine ownership mindset: you identify problems, you solve them, and you do not wait to be told what to do Comfort with ambiguity and an ability to figure things out when documentation is incomplete or the answer is not obvious Nice to Have, but don't let this stop you from applying! Experience working at an MSP, start-up, or multi-client environment Familiarity with Azure AD / Entra ID and conditional access policies SOC2 or HIPAA compliance exposure Experience managing or mentoring junior technicians Certifications such as Network+, Security+, or platform-specific credentials Benefits ❤️️‍ Health Benefits 100% covered health, dental and vision insurance for you, 50% for dependents Paid Parental Leave HSA/FSA eligibility Access to a variety of mental health programs Compensation, Rewards & Recognition 401(k) + 4% company matching Annual Bonus Program PTO Flexible Time Off Certifications Flexible certification and learning stipends and reimbursements Culture Biannual company retreats ➕ Extras Home internet and mobile reimbursement Monthly meal stipend Commuter benefits Compensation Range: $95K - $110K

Job DescriptionAbout the Role Join an early-stage, Y Combinator-backed AI marketing automation startup as a Founding Engineer (Full-Stack). You'll be one of the first engineers on the team, taking full ownership of features from concept through deployment — working directly with founders and customers to shape the product and infrastructure from the ground up. What You'll Do Own end-to-end feature development across the full stack: frontend (Vue.js/Nuxt), backend (Node.js/TypeScript), and AI agent integrations (LangGraph) Architect and maintain robust PostgreSQL database schemas using Supabase, ensuring data integrity and performance Manage deployments, background jobs, and infrastructure using Render and Inngest; maintain dedicated deployments on Microsoft Azure Apply user-centric design thinking across the full product lifecycle Collaborate closely with the operations team and customers (via Slack and Notion) to align technical solutions with real user needs Contribute to tooling and internal workflows using Linear, GitHub, Slack, and Notion What We're Looking For Required: 2+ years of professional software engineering experience delivering full-stack web applications Hands-on experience with TypeScript and Node.js backend development Strong proficiency with PostgreSQL and relational database design Frontend experience with Vue.js + Nuxt, or React/Next.js Experience owning features end-to-end — from concept through deployment to maintenance Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience Willing and able to relocate to San Francisco and work on-site Nice to Have: Experience deploying and managing applications with Render and Inngest; familiarity with Microsoft Azure Background or exposure to marketing technology or AdTech Experience integrating with LLM APIs (OpenAI, Anthropic, Google, etc.) or building AI/ML-powered features Familiarity with serverless workflows or event-driven architecture Compensation & Benefits Salary: $175,000 – $200,000 USD annually Equity as a founding team member Visa sponsorship available Location This role is on-site in San Francisco, CA. Candidates must be willing and able to work from the San Francisco office full-time. Relocation support is available.

Job Description We are a growing information technology company that offers its employees a culture of success, the chance to work on revolutionary federal IT infrastructure, and the opportunity to grow alongside cutting-edge technology that is reshaping the industry. We are seeking forward-thinking candidates that have strong experience in operational support and can help take to the next level in a proactive stance. Chameleon Integrated Services has expertise in operations management, quality systems, data operations and cybersecurity. We secure some of the most sensitive data for the Department of Defense and for other U.S. federal government agencies. We are known for the great care we take with clients and employees, and we believe in promoting from within. We offer a Full Benefits package including: • Competitive Employee Health Insurance options including dental, • 100% company paid vision plan, • 401K plan with generous company match and no vesting period, • 100% company paid life insurance, • 100% company paid long and short-term disability insurance, • Training allowance, • PTO and moreIT Support Engineer - this is an onsite role, 5 days a week and pays $58/hr We’re looking for an IT Support Engineer who thrives in a fast-paced environment and sees every new challenge as a chance to learn. You’ll be the go-to person who helps our teams stay productive, so you’ll need strong people skills, a patient and approachable style, and a habit of following through. If you love picking up new tools quickly, solving problems hands-on, and making a real impact as you grow, we’d love to hear from you. You will: • Onboard and offboard employees, which includes: leading new hire orientations, provisioning and deprovisioning hardware, accounts, and access., • Provide general IT support to all Scale employees (help desk/service desk, troubleshooting, etc.)., • Provide white-glove IT support to executives, ensuring they have reliable, secure, and seamless access to the tools they need., • Maintain and provide technical assistance with all office technology (printers, Google Meet rooms, room schedulers, and more)., • Own IT asset management and ensure accurate and actionable records are kept of required equipment., • Promote best practices as established by IT and escalate inquiries as necessary to the IT Systems and Infrastructure team., • Track, resolve, or dispatch all issues in our ticketing system (Jira Service Management)., • Create and update technology documentation for internal IT teams and for Scale employees., • Have a constant drive to improve the experience of our users, and our internal processes: "How can I make things better?", • Work onsite in our office five days a week, providing hands-on support to teams in person and remote., • Prioritize competing requests and shift focus quickly as business needs change., • Have a drive to learn and grow. Ideally you'll have: • 4+ years of corporate IT experience., • Deep understanding of computer fundamentals and troubleshooting: hardware and software (Mac, Windows) & cloud technologies (Google Workspace, Slack, Zoom, Okta, Azure AD/M365)., • A positive attitude and excitement for building new processes and policies for a rapidly growing organization., • Experience working with remote teams and multiple offices globally, while using tools like Slack or Google Meet to support them., • Security and Compliance focused mindset. “We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status” Texting Privacy Policy • Message type: Informational; you will receive text messages regarding your application and potentially regarding interview scheduling., • No mobile information will be shared with third parties/affiliates for marketing/promotional purposes., • Message frequency will vary depending on the application process.Msg & data rates may apply., • OPT out at any time by texting "Stop". Powered by JazzHR rjnecjmPF0