Collecting information
Organizing data
We are leaders in data engineering on Azure, AWS, Google, Snowflake and Databricks.. This may involve implementing machine learning algorithms, natural language processing, or other AI techniques to analyze data, automate tasks, and provide valuable insights to business partners. · Assist the business unit in troubleshooting and solving business systems problems, such as ERP, PLM, CAD, and process problems.. · Knowledge of data governance and data quality best practices. · Proficiency in Microsoft Azure, APIs, or similar cloud computing ecosystem preferred.
You will set the technical direction, foster collaboration across teams, champion DevOps and Site Reliability Engineering (SRE) best practices, and directly contribute to our mission of making access to space fast, simple, and reliable.. Oversee the design, implementation, and maintenance of multi-cloud solutions (AWS, GCP, Azure) supporting highly reliable satellite operations. Partner closely with Software Engineering, Security, Satellite Operations, and Mission teams to ensure our ground infrastructure meets mission-critical requirements. Prior work with Satellite Operations, Mission Planning, or Space Systems Engineering. Our standard interface enables us to fly multiple customer payloads on the same satellite, with capabilities such as earth imagery, weather & climate /science data collection, IoT connectivity, in-orbit demonstrations, and national security missions.
One of our direct clients is urgently looking for a Software Build & Release Engineer San Bruno, CA. Software Build & Release Engineer. Experience with Docker and Maven repositories, such as Sonatype Nexus and JFrog Artifactory, is a plus. Experience with Virtualization on macOS, is a plus. Familiar with virtualization tools such as Docker, Vagrant, terraform, and VMWare
Understanding of core network protocols (DNS, DHCP, ARP, TCP, UDP, SSL, SSH, SCP, FTP, IPSec, etc.. Familiarity with virtualization technologies and cloud platforms (e.g., AWS, Azure, VMware).. Knowledge of compliance standards such as GDPR, HIPAA, or PCI-DSS. Microsoft Azure Sentinel. Security +, CEH, Microsoft 365 Certified: Security Administrator, Microsoft Certified: Azure Security Engineer Associate, Microsoft Certified: Azure Administrator preferred
Enterprise-scale technical experience with network security, cloud security, hybrid infrastructures secure, architecture designs, and technology management.. We are looking for a Consulting Solutions Architect to join our West Region Global Enterprise Sales team.. Develop and maintain the enterprise's data protection architecture, including backup, disaster recovery, and encryption frameworks.. Knowledge of Information Security Standards (NIST, PCI, HIPPA, etc).. Evaluate and recommend data protection tools and technologies, such as DLP, DRM, CASB, and secure file-sharing systems.
The Director IT Security and Infrastructure will assist business partners in determining how to achieve business results quicker and more effectively through technology while maintaining a comprehensive security strategy that ensures we protect our people, customer, and company information assets to the fullest extent.. Develop, implement and monitor a strategic, comprehensive enterprise information security and IT risk management program to ensure the integrity, confidentiality and availability of information owned, controlled or processed by the organization.. Create, communicate and implement a risk-based process for vendor risk management, including assessment and treatment for risks that may result from partners, consultants and other service providers.. Experience with Cisco, Juniper, Palo Alto Networks, Meraki, Trustwave, Microsoft and their network security technology capabilities.. Experience with PCI-DSS, ITIL, Agile, Sarbanes-Oxley Technology Controls, NIST CSF and ISO27001
Tool building and automation: Create intuitive tooling that allows teams to monitor, interpret, and understand the impact of their experiments without requiring deep statistical expertise.. Proficiency in programming languages for data science (e.g., Python, R), including building data tools and libraries for experimentation workflows.. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) for managing data pipelines and tools.. Prior exposure to ad tech platforms, including knowledge of campaign optimization, audience targeting, and attribution modeling.. Knowledge of big data tools and technologies (e.g., Spark, Flink, BigQuery) for large-scale data analysis.
Management of Office 365 and other SaaS services, including Entra and Intune supporting Azure environments.. Able to build, configure, maintain, and troubleshoot ICT infrastructure (servers, storage, networking, virtualization, telecommunications, end user devices etc. Frequent in-house presentations on all aspects of Lung Health & Technology. Be a part of our Wellness program including free fruit, table tennis, free gym and corporate class pass, Employee Assistance Program for you and your family,free annual health,free skin check & free flu shot. How many years' experience do you have as a Linux SysAdmin?
Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years.. NVIDIA is looking for a seasoned SRE & DevOps Engineer to join its multifaceted and fast-paced Infrastructure, Planning and Processes organization.. The position will be part of a fast-paced crew that develops and maintains sophisticated NVIDIA's internal infrastructure products.. The team works with various other business units within NVIDIA Software such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure & systems needs.. As an SRE & DevOps engineer, you’ll also be working in conjunction with various teams such as software engineering to deploy these new products and manage our infrastructure, associated processes and systems.
Experience with modern Infrastructure and DevOps tools and paradigms, as well as hands-on knowledge with major cloud-based services like Azure, AWS and GCP is a must.. Automation & DevOps: Implement automation across the infrastructure lifecycle, leveraging Infrastructure as Code (IaC) and DevOps principles and best practices to streamline deployment and management processes. Continuous support: Provide SRE support to geographically distributed users on the UAIS platform: respond to tickets, triage support, liaise with customers. 8+ years of infrastructure experience: Proven experience working on large-scale, cloud-based, enterprise-level software platforms and deep understanding of multi-cloud architectures, specifically Azure, AWS, and GCP, with hands-on experience in cloud management. Machine Learning and LLM Operations: Exposure to modern tools and techniques in MLOps and LLMOps fields
The Director, Technology and Alliance will play a critical role in developing and maintaining strategic technical partnerships with key technology vendors, system integrators, and other ecosystem partners. Certifications in cloud computing (e.g., AWS, Azure, Google Cloud).. Family-forming benefits (IVF, Preservation, Adoption etc. Free legal services that provide legal advice, document creation and estate planning.. More flexible and cost effective than legacy on-premises PBX and video conferencing systems that it replaces, RingCentral® empowers modern mobile and distributed workforces to communicate, collaborate, and connect via any mode, any device, and any location.
Staff LLM Engineer - Security Gen AI. The ideal candidate will have a deep understanding of state-of-the-art LLM architectures, such as GPT, BERT, and their variants, and a track record of applying these models to real-world applications.. Design and optimize LLM architectures to improve performance, scalability, and efficiency. Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. Knowledge of distributed training techniques and experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud)
You will develop user-facing applications to enhance the DTC experience.. This full stack engineering role requires expertise in front end, backend and DevOps engineering, with the flexibility to work hands-on or manage projects with external vendors.. About the Job Build end to end Retail apps, Microservices and other services for available systems using public Cloud (GCP/AWS/Azure), applying Object-Oriented Design principles, algorithms, data structures, DBMS/SQL, and top-tier Software Engineering practices.. Proficient in Java, Spring Boot, React JS/Angular JS, Golang, GraphQL and microservices architecture.. Proficient in Kubernetes/Dockers, serverless architecture, messaging platforms (e.g., IBM MQ, Kafka, GCP Pub/Sub), and cloud integration techniques.
We are a seed-stage Generative AI startup focused on revolutionizing enterprise automation.. Exceptional team : with background from firms like Glean, Scale AI, Google, Microsoft, Uber, Stanford, Columbia, IIT, Tower Research, McKinsey. Gain mentorship from seasoned founders, leaders and investors in top companies e.g., Glean, Facebook, Uber, Automation Anywhere, Replit, Netflix, Databricks, Jasper, amongst others.. Proficiency in one or more of Python, Typescript, Node, React, Next.js or similar technologies. Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
Clockwork is seeking a sales-savvy individual with extensive technical expertise in AI networking to fill our Senior Solutions Engineer position. Stay abreast of the latest developments and trends in AI networking, Kubernetes, and cloud computing, sharing your thought leadership with customers and internal stakeholders. Previous pre-sales experience, including POCs, with client stakeholders, including senior technical staff and management. Hands-on experience with cloud platforms (AWS, GCP, Azure, OCI). Proficiency with Python, SQL, and Linux (Golang, C, C
We are seeking an experienced and proactive DevSecOps Engineer to join our Cybersecurity Application Platform Security Team to secure our Geographic Information Systems (GIS) applications as a part of large business transformation effort - Elevate.. The ideal candidate will have hands-on experience with cybersecurity platforms, with a deep understanding of cloud security (especially AWS), strong experience with DevSecOps practices, and an understanding ofGISapplications to operate the environment securely, enhance security posture, secure CI/CD pipelines and continuously bake-in security and compliance. Report on DevSecOps specific security metrics, KPIs, KRIs to track progress and demonstrate the value of security investments aligning with IT, Cyber L1, L2s.. Stay updated on emerging threats, vulnerabilities, and security trends related to AWS, Azure and DevSecOps practices.. CISSP, CISM, or DevSecOps-specific credentials are a plus.
Cloud-centric software development, full-stack engineering, containerization, microservice architecture, agile, DevOps, NFR optimizations. Modern, cloud-centric data platforms, data products and data governance; data-Ops and ML-Ops. Lead the implementation and integration of these operations systems for our clients, ensuring intelligent automation leveraging deep learning and Gen AI technologies for for network management, service management, business operations, and customer care. Knowledge and experience with AI and GenAI platforms, solutions, specialized infrastructure, LLM design and use cases. Proficiency on developing and executing AI over any of the hyperscalers such as Azure, AWS and GCP Cloud data platforms, associated data stores, Graph Stores, Vector Stores and pipelines
Conduct routine network maintenance, including software, firmware, and security patch updates, adhering strictly to change management protocols. Professional certifications (e.g., Cisco, Palo Alto Networks, AWS, Azure, VMware) are strongly preferred. Proficiency with next-generation firewalls, such as Palo Alto or Fortinet, and cloud IaaS platforms (AWS, Azure). Advanced knowledge of network infrastructure (LAN, WAN, WLAN, VPN, SD-WAN) and network/security operating systems (IOS, NX-OS, PAN-OS). Understanding of access control models, network security, and wireless security protocols (WPAx, PEAP, EAP-TLS, 802.1X).
Understand core GenAI/LLM concepts and guide their application across AI pods (e.g., retrieval systems, orchestration layers, and ML pipelines). Oversee the use of tools like Jira Align, Azure DevOps, or similar to synthesize pod-level delivery. Solid understanding of GenAI and LLM-based systems, including RAG workflows, orchestration layers, and ML infrastructure. Deep expertise in agile frameworks (Scrum, SAFe, Kanban) and experience standing up and scaling agile delivery across pods. Familiarity with tools like Jira Align, Azure DevOps, or comparable portfolio management systems
Develop and maintain data pipelines for efficient data ingestion, processing, and augmentation. Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and MLOps practices. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Contributions to open-source projects, publications, hackathons, or machine learning competitions.