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SO OTHERS MAY LIVE When disaster strikes, Aviation Rescue Swimmers don't hesitate-they jump. Into raging seas, hurricane winds, and combat zones, they go where others won't- to bring people back alive. As part of the world's most elite Special Operations force, Navy AIRRs execute life-or-death rescues in the most extreme conditions. Whether pulling survivors from sinking ships, saving downed pilots, or braving towering waves, they live by one mission: so others may live. That motto isn't just a phrase-it's a promise. And they prove it every time they leap into the unknown. Enlisted None WATCH VIDEOS ABOUT AIRR Aviation Rescue Swimmer Naval Aircrewman Helicopter - Sierra Naval Aircrewman Helicopter - Romeo Naval Aircrewman: MH-60 Romeo & MH-60 Sierra AVIATION RESCUE SWIMMER: CAREER DETAILS & REQUIREMENTS Responsibilities Aviation Rescue Swimmers are tasked with entering treacherous conditions to assist with rescue missions, humanitarian assistance, and operational support. One day you may be evacuating families on the other side of the globe amidst a catastrophic storm, and the next day rescuing the crew of a ship off the Pacific coast or saving a mountain climber hanging from an inaccessible cliff. Depending on your role, duties may include: Coordinating with pilots as an Aircrewman aboard helicopters Saving the crew of downed aircraft, people aboard stranded or capsized vessels at sea, or hikers and mountain climbers in danger Rescuing civilians during natural disasters in collaboration with other forces such as the Coast Guard Delivering aid and supplies to other countries in humanitarian operations Providing support to Naval Special Warfare Operations Conducting surveillance in anti-submarine warfare and drug interdiction operations Operate radar, Forward Looking Infrared sensors, missile systems and door guns in anti-surface operations Transporting troops and cargo to and from ships In this role, you will specialize as a Naval Aircrewman Helicopter (AWS) or a Naval Aircrewman Tactical Helicopter (AWR). Naval Aircrewman Helicopter (AWS) AWS's operate various aircraft systems to support a range of mission types including: Surface Warfare Search and Rescue Combat Search and Rescue Naval Special Warfare Airborne Mine Countermeasure Logistics Naval Aircrewman Tactical Helicopter (AWR) AWR's operate various aircraft systems to support a range of mission types including: Anti-Submarine Recon & Intelligence Anti-Surface Ship Search and Rescue Combat Search and Rescue Naval Special Warfare Fire Support Work Environment As an AIRR, you will operate in almost every type of extreme environment and may be assigned to Helicopter Sea Combat (HSC) or Helicopter Maritime Strike Squadrons (HSM) sea or shore duty in any part of the world. You could be assigned to squadrons at Naval Air Stations and may deploy aboard aircraft carriers, surface combat ships and support ships. Training & Advancement Aviation Rescue Swimmers must be prepared to operate in any challenging environment. It's why two years of training in advanced swimming and lifesaving techniques, helicopter mission equipment and helicopter weapons systems are required before you report to your first squadron. Throughout training, candidates are continually tested mentally and physically as they advance to more rigorous and challenging scenarios. Upon completion of initial training at Recruit Training Command Great Lakes (known as Boot Camp), those pursuing an Aircrewman role undergo the following training pipeline: Aviation Rescue Swimmer School Prep Course (2 weeks) in Pensacola, FL. Aircrew Candidate School (4 weeks) in Pensacola, FL, to learn Naval Aviation fundamentals, intermediate water survival, aviation physiology and advanced water survival. Rescue Swimmer School (6 weeks) in Pensacola, FL, to learn search and rescue techniques. Class "A" Technical School (8-14 weeks) in Pensacola, FL, learning one of the Aircrew Ratings (AWF, AWO, AWS, AWR, AWV). SERE School (2 weeks) in North Island, CA, or Portsmouth, NH, to train in Survival, Evasion, Resistance and Escape (SERE) techniques. Fleet Replacement Squadrons (28-52 weeks) location dependent on aircrew rating in one of five locations (Jacksonville, FL, Norfolk, VA, San Diego, CA, Oklahoma City, OK, Ft Worth, TX) for basic flight and aircraft weapons systems training. After graduation, an AIRR may be assigned to a helicopter command at sea or on shore duty in various locations throughout the world, Japan, Guam, Spain, or the continental US including San Diego, CA, Norfolk, VA, Jacksonville, FL, Fallon, NV, Whidbey Island, WA, Key West, FL and many others. Advanced Education & Training Based on performance and the needs of the Navy, you could potentially be eligible to receive additional training in: Emergency Medical Technician (EMT) training Helicopter Inland Rappel School (mountain & cliff rescue training) Advanced Search and Rescue School Senior enlisted AIRRs may also be selected to become: Schoolhouse instructors Weapons instructors Master rappelers/instructors Post-Service Opportunities Specialized training received and work experience gained in the course of service can lead to valuable credentialing and occupational opportunities in related fields in the civilian world whether you're an AWS or AWR. Education Opportunities Members of the Naval Special Warfare community have any number of unique opportunities to advance their knowledge. Navy training provides skills and knowledge in everything from military tactics and small arms use to survival and a number of other tactical military procedures. Beyond offering access to professional credentials and certifications, Navy training in this field can translate to credit hours toward a bachelor's or associate degree through the American Council on Education. You may also continue your education through undergraduate degree opportunities like the Navy College Program and Tuition Assistance and the Post-9/11 GI Bill. Qualifications & Requirements No college degree is required to become an AIRR, but a high degree of difficulty comes standard with nearly everything you'll do. Training is tough and ongoing. You should be in excellent physical condition and a strong swimmer. To qualify for Rescue Swimmer Training, both men and women must: Meet specific eyesight requirements: uncorrected vision no worse than 20/100; correctable to 20/20 in both eyes with normal depth and color perception Meet the minimum Armed Services Vocational Aptitude Battery (ASVAB) score: VE+AR+MK+MC=210 or VE+AR+MK+AS=210 Pass a PST in DEP/Boot Camp Pass Class 1 Flight Physical Be 30 years of age or younger Must be a U.S. citizen and eligible for security clearance The Minimum and Elevated Navy Physical Screening Test (PST & EPST) requirements for AIRR are: Exercise Time Min. Elevated Swim 500 yards (freestyle) Unlimited 12:00 9:00 Push-up 2:00 42 65 Sit-up 2:00 50 65 Pull-up 2:00 04 10 Run 1.5 miles Unlimited 12:00 10:15 Candidates who achieve the Elevated Physical Screening Test (EPST) scores shown above may qualify for the Enlisted Bonus for Shipping (EB-SHP) program. These elevated standards must be met during your 14-day shipping PST to be eligible for the bonus. Learn more about Navy enlistment bonuses. NOTE: You should consult your physician or other health-care professional before starting any exercise regime or other fitness program to determine if it is right for your needs. This is particularly true if you (or your family) have a history of medical illnesses or ailments that could be made worse by a change in physical activity. Do not start a fitness program if your physician or health-care provider advises against it. General qualifications may vary depending upon whether you're currently serving, whether you've served before or whether you've never served before. Part-Time Opportunities There are no part-time jobs as a Navy Reserve Sailor in this role. Go back to Careers to find other jobs that have a Reserve component. You can also find out more about what life is like as a Reserve Sailor in the Navy. Aviation Rescue Swimmer - PST Full HTML CAN YOU OUTPERFORM TOP AIRR CANDIDATES? Check the AIRR PST leaderboard and find a testing event near you. Learn More Compare Navy Careers See how a career as a Special Warfare Combat Crewman compares to other Navy jobs. Compare roles, pay and requirements for each job now.

The application window is expected to close on: 03/23/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team Are you ready to shape the future of enterprise cloud infrastructure? We are looking for a visionary Tech Lead Engineer to architect and deliver the AI-driven backbone of Cisco Cloud Control. In this role, you won't just be writing code; you will be building the intelligent fabric that powers Cisco's next-generation global platform. You will operate at the intersection of AI/ML, distributed systems, and SaaS, solving high-stakes challenges that redefine how global enterprises manage their cloud environments. Your Impact As a Tech Lead, you will be the technical heartbeat of our mission. You will: • Architect the Future: Lead system design and architectural strategy for complex, AI-native solutions that scale across Cisco's vast portfolio., • Drive Innovation: Translate complex business needs into high-performance, functional, and non-functional backend features., • Foster Excellence: Mentor and guide junior developers, championing engineering best practices and a culture of continuous improvement., • Collaborate at Scale: Partner with architecture teams, engineering leads across Business Units, and infrastructure experts to ensure seamless, end-to-end delivery of mission-critical services., • Champion AI-Native Development:** Leverage and advocate for cutting-edge AI coding assistants and agents to accelerat development velocity and code quality. What You Bring (Minimum Qualifications) • Deep Expertise: 8+ years of hands-on experience in software development, with a focus on data pipelines, AI/ML integration, and highly distributed SaaS architectures., • Cloud Proficiency: Strong technical command of AWS and modern observability stacks (e.g., ELK, Splunk, Datadog)., • DevOps Mindset: Proven experience in CI/CD automation and modern DevOps practices., • AI Advocacy: A track record of integrating AI tools into the development lifecycle and a passion for pushing the boundaries of AI-assisted engineering., • Leadership & Communication: Exceptional ability to influence stakeholders, mentor talent, and bridge the gap between technical complexity and business value., • Adaptability: A solution-oriented mindset that thrives in a fast-paced, evolving environment. Preferred Qualifications • Experience building robust 3rd party integrations (e.g., ServiceNow)., • Fluency in Go, Java, or Rust., • Familiarity with modern frontend ecosystems (React, NodeJS, microfrontend architectures)., • A passion for building scalable, reliable, and maintainable systems that support global enterprise users. At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. The starting salary range posted for this position is $183,800.00 to $263,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $183,800.00 - $303,100.00 Non-Metro New York state & Washington state: $163,600.00 - $269,800.00 • For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

We are seeking a dynamic and experienced engagement leader to serve as the data leader in our Banking and Capital Markets practice. This role focuses on driving collaboration across internal teams and clients to deliver integrated solutions that create measurable business impact. The role acts as a key connector, ensuring alignment between advisory, technology, and operations, while strengthening client relationships and supporting revenue growth across multiple engagements. This position requires a blend of technical expertise, client relationship management, and business acumen to achieve ambitious growth targets in a fast-paced financial landscape. Also responsible for enabling communication between clients, other EXL business units, internal support staff, as well as multi-functional and multi-shore project teams. This position may require frequent travel to client sites in the U.S. Responsibilities Client Engagement & Relationship Management Build and maintain strong relationships with key banking and capital markets clients. Act as the primary contact for strategic discussions, understanding client needs and identifying opportunities for value creation through consultative engagement. Solution & Proposal Development Lead development of tailored technical proposals in collaboration with cross-functional teams. Design innovative solutions in areas like data modernization, digital transformation, and fintech integration, ensuring proposals are practical, competitive, and aligned with best practices. Account & Revenue Growth Monitor account performance and drive growth through upsell and cross-sell opportunities. Achieve revenue targets by expanding service offerings and leveraging emerging technologies such as AI, cloud, and data platforms. Leadership & Delivery Oversight Coordinate across advisory, technology, and operations teams to ensure seamless delivery. Promote collaboration, resolve interdependencies, and foster knowledge sharing for efficiency and innovation. Market Awareness & Thought Leadership Stay current on industry trends, regulatory changes, and competitive dynamics. Contribute to thought leadership through client presentations, webinars, and whitepapers. Team Development Mentor and guide junior team members, fostering a high-performance culture and building capabilities in client management and solution design. Qualifications Minimum of 10+ years in banking, capital markets, or financial consulting, with at least 5 years in a leadership or client-facing role. Proven track record in managing multimillion-dollar accounts, driving revenue growth, and leading cross-functional teams. Strong expertise in technical design discussions and the ability to provide strategic consulting to enable large-scale engagements is essential for this role. Skills: • Extensive experience in banking and capital markets, covering trading, risk management, regulatory compliance, and digital transformation., • Strong technical foundation with exposure to fintech, data analytics, cloud platforms, and AI-driven solutions., • Familiarity with modern technology ecosystems such as hyperscalers (AWS, Azure, GCP), Databricks, Snowflake, and emerging AI/ML tools., • Ability to manage and lead technical delivery teams, ensuring successful execution of client engagements., • Skilled in proposal development, technical workflow design, and driving large-scale implementations., • Excellent communication and presentation skills, capable of translating complex concepts for diverse audiences., • Proven ability to handle multiple engagements simultaneously, balancing priorities in a matrixed environment., • Strong understanding of Enterprise Data Management (EDM) solutions and related tools, enabling informed client discussions., • Adept at adapting methodologies to client needs to deliver value and maintain profitability., • Experience in mentoring teams and conducting internal training programs., • Ability to resolve conflicts effectively and maintain strong client relationships. The typical base pay range for this role across the U.S. is USD $180,000 - $210,000 per year. For more information on benefits and what we offer please visit us at:

Machine Learning Engineer Fully Remote $170,000-$200,000 base + bonus + equity About the Company Our client is building technology focused on making AI more secure and safe for the future of humanity. They are tackling critical challenges at the intersection of AI, security, and infrastructure, with a mission-driven approach and an emphasis on high standards, speed, and technical excellence. About the Team This is a small, world-class team taking on difficult problems across AI, security, and infrastructure. They move quickly, take ownership of everything they ship, and operate with a high degree of accountability. Remote work is treated as a tool for focus and execution. The environment is intense, highly collaborative, and built for people who want to push beyond standard expectations to help build technology that could redefine how the world trusts AI. What You’ll Do • Design and build machine learning systems that analyze, classify, and extract insights from large-scale, multimodal data, • Develop, fine-tune, and evaluate transformer and LLM-based models for language understanding, generation, and evaluation, • Prototype quickly, experiment relentlessly, and own models end-to-end, • Engineer high-performance inference pipelines optimized for latency, throughput, and accuracy, • Work with LLMs and agents to model language, actions, and context across complex workflows Qualifications • 3-6 years of hands-on machine learning or applied AI experience, • Strong Python and PyTorch experience, or strong Python and TensorFlow experience, • Deep understanding of transformer architectures and NLP pipelines, • Experience training, fine-tuning, or evaluating LLMs and agentic systems for applied NLP tasks, • Comfortable working with REST and/or gRPC APIs, Git, and cloud ML stacks across AWS, GCP, or Azure Nice to Have • Experience with LoRA, PEFT, RAG, or vector search, • Experience with instruction tuning, evaluation datasets, or alignment methods, • Knowledge of GPU optimization or distributed training, • Interest in AI safety, interpretability, and bias evaluation, • Open-source contributions or published machine learning work

Trident Consulting is seeking a ”Senior Workato Technical Integration Consultant”. A global leader in business and technology services. Role: Senior Workato Technical Integration Consultant Locations: San Francisco, CA / Seattle, WA (Hybrid - Onsite days: Mondays, Wednesdays, and Thursdays) Type: Contract Salary: $65 - $70 Position Overview We are seeking an experienced Senior Workato Technical Resource to join our integration team. This role requires deep expertise in the Workato platform, AI-driven automation, and modern integration patterns. The ideal candidate will architect and implement complex integration solutions while leveraging cutting-edge AI technologies including Workato Genie and Model Context Protocol (MCP) servers. Key Responsibilities Integration Development & Architecture • Design, develop, and maintain complex integration recipes on the Workato platform, • Architect scalable, enterprise-grade integration solutions across multiple systems and applications, • Build and optimize AI-powered automation workflows using Workato Genie, • Develop and deploy MCP (Model Context Protocol) servers to extend AI agent capabilities, • Implement Intelligent Document Processing (IDP) solutions for automated data extraction and processing AI & Automation Innovation • Design and engineer sophisticated prompts for AI agents to optimize automation outcomes, • Build AI Skills and train Genie agents for business process automation, • Integrate AI/ML capabilities into workflow automation, • Continuously evaluate and implement emerging AI technologies within the Workato ecosystem Platform Management & Governance • Administer and maintain Workato platform environments (development, staging, production), • Deploy and manage Workato On-Premises Agents (OPA) for secure connectivity to internal systems, • Configure private links and secure tunneling for behind-firewall integrations, • Establish best practices for recipe development, version control, and deployment, • Monitor platform performance, troubleshoot issues, and optimize resource utilization API & Data Integration • Design and implement RESTful and SOAP API integrations, • Manage API lifecycle including design, documentation, security, and versioning, • Configure and maintain SFTP connections for secure file transfers, • Develop custom connectors and API endpoints as needed Collaboration & Leadership • Provide technical guidance and mentorship to junior team members, • Collaborate with business stakeholders to gather requirements and translate them into technical solutions, • Document technical designs, integration patterns, and operational procedures, • Participate in code reviews and ensure adherence to development standards Required Qualifications Workato Platform Expertise • 6+ years of hands-on experience with the Workato integration platform, • 4+ years of Workato Administration experience, • Strong expertise in recipe development, including complex branching logic, error handling, and optimization, • Proven track record of delivering enterprise-scale integration projects AI & Advanced Technologies, • 2+ years building AI Agents using Workato Genie with AI Skills, • 2+ years of Prompt Engineering experience with demonstrable results, • 2+ years implementing Intelligent Document Processing (IDP) solutions, • 1+ year developing MCP (Model Context Protocol) servers, • Deep understanding of AI/ML concepts and their application in automation Integration & API Skills, • 5+ years of API development and API management experience, • 5+ years working with SFTP protocols and secure file transfer solutions, • 2+ years deploying and managing Workato On-Premises Agents (OPA), including private link configurations, • Strong understanding of authentication protocols (OAuth, SAML, JWT, API Keys), • Experience with various data formats (JSON, XML, CSV, EDI) Technical Competencies • Proficiency in scripting languages (Ruby, Python, JavaScript), • Experience with cloud platforms (AWS, Azure, GCP), • Knowledge of database systems (SQL and NoSQL), • Understanding of enterprise application ecosystems (Salesforce, SAP, Workday, ServiceNow, etc.), • Familiarity with DevOps practices and CI/CD pipelines, • Soft SkillsExcellent problem-solving and analytical abilities, • Strong communication skills with ability to explain technical concepts to non-technical stakeholders, • Self-motivated with ability to work independently and in team environments, • Commitment to continuous learning and staying current with integration technologies, • Experience Level: Senior (8-10+ years in integration/automation technologies) About Trident Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we’ve specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success. Some of our recent awards include Trailblazer Women Award 2025 by Consulate General of India in San Francisco Ranked as the #1 Women Owned Business Enterprise in the large category by ITServe. Received the TechServe Excellence award. Consistently ranked in the Inc. 5000 list of fastest-growing private companies in America Recognized in the SF Business Times as one of the Largest Bay Area BIPOC/Minority-Owned Businesses in 2022.

About Company :: Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many others About the Role We are looking for a Senior Manager of Data Science to lead the end-to-end design, development, and deployment of advanced machine learning solutions for supply chain demand forecasting and root cause analysis. This is a hands-on leadership role — you will architect the analytical framework, guide a cross-functional team of data scientists, and serve as the primary technical interface with senior stakeholders. Required Qualifications Experience • 12–15 years of progressive experience in data science, machine learning, or quantitative analytics — with at least 4 years in a lead or management role, • Proven track record delivering end-to-end ML pipelines in production environments — from raw data through model deployment and monitoring, • Hands-on experience with demand forecasting, supply chain analytics, or operations research in an industrial, manufacturing, or distribution context, • Demonstrated experience leading cross-functional analytics teams, including offshore or distributed team members, • Experience presenting complex analytical findings to C-level and VP-level stakeholders with measurable business impact Technical Skills • Expert-level proficiency in Python: scikit-learn, XGBoost, LightGBM, statsmodels, pandas, numpy, scipy, • Deep expertise in ensemble methods — gradient boosting (GBM, XGBoost, LightGBM) and random forest variants including quantile regression forests, • Proficiency in probabilistic forecasting: quantile regression, prediction interval construction and calibration, Winkler scoring, pinball loss, • Strong statistical foundation: hypothesis testing, KS tests, distribution shift detection, time-series analysis (ACF, PACF, change-point detection), • Experience with feature engineering for time-series and supply chain data: lag features, rolling statistics, Fourier encoding, interaction terms, • Proficiency with experiment tracking and MLOps tooling (MLflow, DVC, or equivalent); familiarity with CI/CD for ML pipelines, • Ability to write and review production-quality Python code; experience with SQL for data extraction and transformation, • Familiarity with cloud platforms (AWS, Azure, or GCP) for model training, deployment, and scheduled execution Education • Master's degree or PhD in Data Science, Statistics, Machine Learning, Operations Research, Industrial Engineering, or a related quantitative field, • Bachelor's degree in a quantitative discipline with equivalent industry experience considered Preferred Qualifications • Experience with intermittent demand modelling: Croston method, Syntetos-Boylan Approximation (SBA), ADI-CV² classification, • Familiarity with Forecast Value Add (FVA) frameworks and multi-layer forecast override governance, • Experience with inflection point detection and structural break analysis in demand time series, • Background in consulting or professional services — experience running client-facing analytical engagements with gate reviews and formal deliverables, • Familiarity with S&OP (Sales and Operations Planning) processes and integrated business planning cycles, • Experience deploying analytical tools in enterprise environments with IT security and compliance constraints, • Publications, conference presentations, or open-source contributions in ML, forecasting, or supply chain analytics People & Delivery Leadership • Lead, mentor, and develop a team of 3–6 data scientists across US and India; provide technical guidance, career development support, and performance feedback, • Define team roadmap, prioritise work streams, and ensure on-time delivery against project milestones — including intermediate client-facing outputs at each analytical phase, • Collaborate closely with the India-based Lead Data Scientist to ensure seamless coordination across time zones; act as the primary technical escalation point for the offshore team, • Conduct design validation workshops, cluster review sessions, and gate reviews with business stakeholders at each phase of the analytical cycle, • Translate complex ML findings into business-language reports and executive presentations, clearly communicating what was found, why it matters, and what action to take Privacy Notice Declarations for California based candidates/Jobs::

Job Title - Java Backend Developer Location - Sunnyvale, CA--> Hybrid- 2/3 days a week Skills: Microservices, Spring boot, AWS/Azure/GCP, Kafka, Dockers, Kubernetes Unfortunately no visa sponsorship available now or in the future Roles and Responsibilities Responsibilities include thoroughly reviewing project requirements and converting them into effective technical solutions. This process involves collecting necessary information such as design documents, product requirements, and wireframes. The candidate will also be responsible for writing and developing code, as well as performing unit testing to ensure code quality and reliability. Communication is a key aspect of the role, requiring the candidate to update team members and stakeholders on project status and any issues that arise. Collaboration with both project-specific and cross-functional teams is essential, especially when troubleshooting open issues and resolving bugs. The candidate must ensure projects are delivered on time and that all hand-offs are smoothly executed. Additional duties include interacting with the project manager to provide insights and input for the project plan. The candidate is expected to review and provide feedback on proposed solutions, participate in design and code reviews for any changes, and ensure that the team’s work meets the required standards and deadlines. Required Qualifications -Strong core Java and J2EE knowledge -In-depth understanding of Java Spring, Spring Boot applications -Hands-on knowledge of building large-scale microservices for highly scalable and robust platforms -In-depth understanding of NoSQL database implementations, like Cosmos, MongoDB, etc. -Strong knowledge of messaging systems like Kafka -Hands-on knowledge and experience with cloud systems like Azure, GCP -Clear understanding of design principles for building large-scale, robust platforms

A fast-growing robotics company is building autonomous systems designed to automate repetitive tasks within the global infrastructure and construction sector. The company’s mission is to help address workforce shortages while accelerating the development of critical infrastructure projects. Their robotics platforms combine advanced autonomous navigation, cloud software, and intelligent field tools to improve precision and efficiency across construction environments. With a growing fleet of robots already deployed across multiple project sites globally, the company is developing the next generation of automation tools used in areas such as infrastructure development, surveying, energy projects, and large-scale construction. The company is seeking a Full-stack Developer to design and maintain the software systems that power its robotics ecosystem — including operator dashboards, cloud infrastructure, and applications that interface with robots operating in the field. This role will contribute to building reliable tools for mission planning, fleet monitoring, and communication between cloud systems and robotic platforms. The position involves close collaboration with robotics engineers, field operations teams, and product stakeholders to ensure the software delivers measurable impact in real-world environments. Key Responsibilities • Design and develop full-stack applications for device management, mission control, and fleet coordination., • Build and maintain mobile applications used by field operators., • Develop desktop applications used to interface with robotic systems., • Create web dashboards and APIs for mission planning, telemetry visualization, and operational data analysis., • Integrate cloud infrastructure for data storage, monitoring, and deployment., • Ensure reliable communication between cloud services and deployed robotic systems., • Collaborate with robotics, product, and field teams to deliver integrated software functionality., • Write technical documentation for APIs, system architecture, and software modules., • Optimize systems for scalability, reliability, and performance in field environments., • Requirements, • Education, • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Experience • 4+ years of professional full-stack development experience., • Strong experience with JavaScript / TypeScript using modern frameworks such as React, Next.js, and Node.js., • Strong UI/UX development experience using modern CSS frameworks., • Experience building mobile applications using React Native., • Experience developing cross-platform desktop applications., • Production experience with cloud platforms such as AWS including APIs, storage, and deployment pipelines., • Strong understanding of software architecture, testing methodologies, and performance optimization., • Proficiency with development tools including Git, issue tracking systems, and CI/CD pipelines. Soft Skills • Strong analytical and problem-solving ability., • Ability to collaborate effectively in a fast-paced engineering environment., • Strong ownership mindset and communication skills., • Preferred Qualifications, • Experience working with robotics systems or robotics middleware., • Familiarity with real-time communication protocols such as WebSockets or MQTT., • Experience working with IoT devices, connected hardware, or industrial systems., • Experience working with performance-sensitive or multi-threaded applications., • Experience with containerization technologies such as Docker or Kubernetes.

Job Title: Senior MuleSoft Engineer (AWS Plus) Experience: 8-12+ Years Location: SFO, CA (Hybrid) Job Type: Contract Job Description: We are looking for a Senior MuleSoft Engineer with strong experience in the MuleSoft Anypoint Platform to design and develop enterprise integration solutions. The ideal candidate should have hands-on experience in Mule 4, API-led connectivity, Data Weave, REST/SOAP APIs, and integration patterns. Experience with AWS services such as API Gateway, Lambda, S3, or EC2 is a plus. Key Skills: • MuleSoft Anypoint Platform, • Mule 4 Development, • DataWeave 2.0, • API-led Architecture, • REST/SOAP APIs, JSON, XML, • CI/CD & Git, • AWS (Plus) Preferred: MuleSoft Certification (MCD / MCIA).

AI Data & Python Tools Engineer We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems. Responsibilities: • Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks, • Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods, • Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions, • Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability, • Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle Software Engineering & AI/ML Data, Tools Development • 3+ years of Python Development with a background in back end services and data processing, • Exposure to AI/ML algorithms, • Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn), • Understanding of LLMs, vector databases, and retrieval systems, • Experience with Model Context Protocol (MCP) integration and server development Big Data & Cloud Infrastructure • Knowledge of building and deploying cloud based applications, • Hands-on experience with cloud data platforms (AWS/GCP/Azure), • Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms), • Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes, • Knowledge of containerization (Docker/Kubernetes) and infrastructure as code *Preferred Experience • Experience building web applications with modern frameworks (React, Vue, or Angular), • API development and integration experience, • Basic UX/UI design sensibilities for internal tooling, • Experience with real-time data processing and analytics, • Background in building developer tools or internal platforms, • Familiarity with AI/ML operations (MLOps) practices (Experience using airflow), • Experience building MCP servers and integrating with AI assistants, • Knowledge of structured data exchange protocols and API design for AI systems. Type: Full Time Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)

• Must live in NY, SF, LA - in office 2-3 days a week, • NO SPONSORSHIP, • MUST HAVE BUILT RECOMMENDATION SYSTEMS AND BUILT PREDICTIVE MODELS, • Must be currently managing a team Leading media technology platform dedicated to modernizing the advertising landscape is seeking a Data Science Manager or Sr Manager to lead AI Product function. This is a foundational leadership role where you will build and manage a specialized team of data scientists focused on customer-facing features powered by ML and LLMs. While this is a management-first role, you should possess the technical depth to guide modeling strategies and system design. Key Responsibilities • Team Leadership: Hire, mentor, and grow a team of data scientists; conduct performance reviews and support career development., • Product Innovation: Facilitate the design of algorithms and models that drive new business opportunities and enhance existing product features., • Cross-Functional Collaboration: Partner with Product, Engineering, and Infrastructure to align on roadmaps and accelerate the delivery of AI-powered features., • Project Oversight: Own DS prioritization, manage resource allocation, and ensure high-quality, timely delivery of ML projects., • Process Excellence: Develop lightweight, effective processes for fast iteration and scalable AI delivery. Qualifications • Education: Master’s degree (or equivalent experience) in a quantitative field (CS, Math, Physics, etc.)., • Experience with LLMs, embeddings, or recommender systems., • Experience: 2+ years of people management experience plus 6+ years in a Data Science or related technical role., • Technical Depth: Advanced knowledge of statistics/probability and hands-on experience with SQL, Python, AWS, and modern ML workflows., • Strategic Mindset: Proven ability to lead through ambiguity and manage complex dependencies across multiple stakeholders., • Communication: Ability to translate complex technical concepts for non-technical stakeholders., • Background in AdTech or Media analytics. Reach out to with questions

We are seeking a dynamic and experienced Product Manager to join our team, focusing on the Sales and Support technology domain. The ideal candidate will have a strong background in product management, with a specific emphasis and track record on leveraging Generative AI to enhance customer experience and drive business growth. Key Responsibilities: • Product Strategy and Vision: Develop, articulate, and champion a clear product vision and strategy for Sales and Support technologies, incorporating Generative AI capabilities to innovate and improve customer interactions., • Market Research and Analysis: Conduct thorough market research to identify customer needs, market trends, and competitive landscape. Use these insights to inform product development and positioning., • Roadmap Development: Create and maintain a detailed 4-quarterly product roadmap th aligns with business objectives and customer needs. Prioritize features and enhancements based on impact and feasibility. Present roadmap progress and insights to senior leadership and cross-functional stakeholders., • Cross-functional Collaboration: Partner closely with engineering, UX design, sales, legal, and support teams to ensure successful product development and launch. Facilitate communication, alignment and collaboration across distributed teams and geographies., • Customer Engagement: Engage with customers & key stakeholders to gather feedback, understand pain points, and validate product concepts. Use this feedback to drive continuous improvement and innovation., • Performance Metrics: Define and track key performance indicators (KPIs) to measure product success and identify areas for improvement. Use data-driven insights to make informed decisions., • Generative AI / Agentic AI Integration: Leverage Generative AI / Agentic AI technologies to develop innovative solutions that enhance sales and support processes. Stay updated on the latest advancements in AI and apply them to product development. Collaborate with business, engineering and data science teams to prototype, validate, and launch AI-powered features that drive automation, personalization, and efficiency Qualifications: • Education: Bachelor's degree in Computer Science, Engineering, Business, or a related field. MBA or advanced degree is a plus., • Experience: Minimum of 7 years of product management experience, with a focus on Sales and Support technologies. Proven track record of successfully launching and managing products., • Technical Skills: Strong understanding and track record of implementing Generative AI / Agentic AI technologies and their applications in the Sales and Support domain. Experience with AI/ML frameworks and tools is highly desirable., • Experience with Leading AI Platforms: Experience with industry-leading AI ecosystems such as Microsoft Azure OpenAI Service, Amazon Bedrock, or AWS SageMaker is highly desirable. Familiarity with integrating these platforms into enterprise-scale CRM and support systems is a strong advantage. Demonstrated success in leveraging these technologies to design scalable, intelligent solutions that enhance user productivity, automate workflows, and drive measurable business outcomes will set you apart., • Analytical Skills: Excellent analytical and problem-solving skills. Ability to interpret complex data and make data-driven decisions., • Communication Skills: Strong verbal and written communication skills. Ability to effectively communicate with technical and non-technical stakeholders., • Leadership: Demonstrated leadership skills with the ability to influence and inspire cross-functional teams. Strong project management skills and attention to detail. Why Join Us: • Innovative Environment: Be part of a forward-thinking company that values innovation and creativity. Work on cutting-edge technologies and make a significant impact on the industry., • Collaborative Culture: Join a collaborative and inclusive team that values diverse perspectives and fosters a culture of continuous learning and growth., • If you are passionate about product management, have a strong background in Sales and Support, • technologies, and are excited about the potential of Generative AI, we would love to hear from you., • Apply now to join our team and help shape the future of customer experience! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations. This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom. Learn more at______ | Intelligence for Imagination. Note: This position is not eligible for Immigration Sponsorship at this time. About the Role This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world. As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life. Responsibilities Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position. You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously. Technical Depth (Hands-On Architecture) • Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production, • Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security, • Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working, • Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems Executive Presence & Live Architectural Thinking • Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor, • Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck, • Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session, • Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly, • Represent Fractal at the highest level of client relationship Team Leadership (Building & Driving Senior ICs) • Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers, • Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes, • Build leadership depth within the team, identifying principals who can own programs and grow into broader roles, • Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice Forward-Deployed & Embedded Delivery • Lead and run FDE-style engagements where your team operates inside the client's engineering environment, • Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey, • Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff, • Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path, • Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them Candidate Profile Technical Qualifications TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee: • GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability, • AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection, • Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks, • Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in, • Real-time and event driven data pipelines (e.g. network telemetry), • Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations Non-technical Qualifications We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices. • 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale, • Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them, • Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment, • The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal, • Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure, • A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs, • Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once, • Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance) Strong Preferences • Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale, • Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones, • Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem, • A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe, • Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns Who Thrives Here The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you: • Enjoy being client-facing and accountable for outcomes., • Are comfortable navigating ambiguity, scale, and complex stakeholder environments., • Believe great platforms come from strong engineering culture plus disciplined execution., • See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly. Fractal 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.

HCLTech is looking for a highly talented and self- motivated Principal AI Architect to join it in advancing the technological world through innovation and creativity Title: AI Architect Location Santa Clara (USA) As an AI Architect, you will guide the strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference. You will craft solutions based on advanced AI technologies from OpenAI, NVIDIA, Google, , Microsoft and AWS. This role has a focus on enabling advanced Agentic AI solutions that transform core business functions and enable the future hybrid workforce. Working at the highest levels, you will engage AI, Technology and Business leaders in the world’s most successful organizations. You will lead architectural design, establish best practices, for our most complex AI initiatives. This role requires a combination of deep hands-on technical expertise in advanced AI with strategic business acumen, serving as both a technical authority and a trusted advisor to clients Key Responsibilities What you’ll do Multi-Agent Architecture Patterns: Define and govern reference architecture for multi-agent systems, covering hierarchical, peer-to-peer, and sequential (ReAct) orchestration models. Guide teams on pattern selection based on client use cases. Memory System Design: Architect the standards for integrated memory systems, including short-term session state, long-term knowledge via vector databases and knowledge graphs, and episodic/audit memory. Ensure coherent retrieval strategies across layers. Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Define architectural patterns for end-to-end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking. Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS). Cross-Cloud & Vendor Integration: Create and maintain decision frameworks for platform selection (e.g., Copilot Studio for Teams integration, Vertex AI for GCP workloads). Advise clients on balancing vendor lock-in risks with integration benefits. GenAIOps & Observability: Define the architectural standards for GenAIOps, including CI/CD, IaC, and observability. Establish standard metrics to track agent decision traces, latency, token consumption, hallucination, and cost. Safety, Security & Governance: Architect enterprise-wide guardrails for safety (hallucination mitigation), security (prompt injection defense, PII masking), and fairness (bias detection). Apply governance frameworks (NIST AI RMF, ISO 42001) and design human-in-the-loop (HITL) workflows. Enterprise Integration & Scalability: Architect scalable integration patterns for agentic systems with enterprise platforms (Microsoft Entra ID, Teams, Dynamics/Salesforce, ERPs) and compute (Kubernetes). Ensure patterns address security, data residency, and compliance. Technical Leadership & Client Advisory: Combine technical architecture with strategic guidance. Lead C-level workshops on Agentic AI adoption, advise on roadmaps, and shape technology strategy. Mentor other architects and contribute to industry thought leadership. Thought leadership and public speaking: Present at industry events and publish articles that advance the AI industry. Core Qualifications (The Bar) -Enterprise Experience: 8–10+ years in technical leadership, with a strong background in both software engineering and enterprise-scale cloud architecture. -Cloud Expertise: Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands-on familiarity with at least one other. -GenAI & LLM Depth: Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock). -RAG & Orchestration: Proven experience designing complex RAG pipelines. -Model Fine-tuning: Experience with instruction tuning or fine-tuning strategies for LLMs. -Leadership & Advisory Skills: Exceptional communication skills with demonstrated experience advising senior stakeholders (Director/C-Level) on technical strategy, roadmaps, and governance Desired Skills & Experience • Multi-Agent Systems: Deep understanding of, and experience designing or prototyping, advanced multi-agent systems (e.g., task decomposition, collaborative agents)., • Multi-Cloud Experience: hands-on architectural expertise across all three major clouds (Azure, AWS, GCP)., • GenAI Ops & Governance: Hands-on experience with GenAI Ops tooling. Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and their practical application. And AI FinOps & Model Routing, • Framework Expertise: Hands-on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel)., • Thought Leadership & Open Source: Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open-source projects. HCLTech offers a highly competitive compensation package for this role, commensurate with experience. This includes a base salary, performance-based bonus, and comprehensive benefits. A specific salary band will be discussed with qualified candidates during the initial screening process. Scope by Level Senior Architect: Own end-to-end architecture for 1–3 programs/accounts. Lead technical architecture reviews and decision-making on agentic design patterns. Mentor senior engineers and emerging Architects. Drive thought leadership through internal documentation and architecture governance. Represent HCLTech in client C-level conversations for assigned accounts. Principal Architect: Portfolio-level ownership across multiple clients and programs. Define enterprise strategy for agentic AI adoption—roadmaps, best practices, architectural standards, and governance frameworks. Influence global partner strategies (Microsoft, Google, AWS) and contribute to HCLTech’ s overall AI/Cloud roadmap. Represent HCLTech as a recognized industry leader through conference speaking, published research, and advisory board participation. Mentor other architects and shape hiring/capability building for the AI architecture practice. Soft Skills & Behavioural Competencies We are looking for professionals who combine deep technical expertise with strong interpersonal and leadership abilities. Specifically: • Clear, Multi-Level Communication, • Strategic Thinking & Advisory Mindset, • Cross-Functional & Cross-Vendor Collaboration, • Pragmatic Problem-Solving, • Ownership & Accountability, • Continuous Learning & Adaptability, • Customer Obsession & Trust-Building, • Leadership & Mentorship, • Change Agent Mindset Pay and Benefits Pay Range Minimum: Base $ 210000 Per Year Pay Range Maximum: Base $ 240000 Per Year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You’ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

We are seeking a highly experienced, hands-on AI Architect to lead the design, build, and launch of AI-driven systems and products. This role goes beyond traditional machine learning—you will be responsible for turning ideas into real, scalable AI solutions that drive business impact and can be delivered to clients. You will own the full lifecycle of AI development—from architecture and model selection to prototyping and production—while helping the company identify where AI can replace, augment, and optimize existing workflows. This is a high-impact role for someone who can operate both strategically and technically, and who thrives in building from the ground up. Key Responsibilities • Architect and build end-to-end AI systems, including copilots, automation tools, and client-facing products, • Design, develop, and deploy ML and LLM-based solutions (including model selection, fine-tuning, and optimization), • Lead rapid prototyping and iteration of AI products to move from concept to production quickly, • Define and own the AI tech stack, including LLM providers (OpenAI, Anthropic), frameworks, APIs, and infrastructure, • Design scalable data pipelines and system architectures to support production-grade AI applications, • Integrate AI solutions into internal systems and workflows to improve efficiency and reduce manual work, • Develop APIs and services for real-time inference and model deployment, • Collaborate cross-functionally to align AI initiatives with product and business goals, • Provide clear guidance on:, • What to build vs. not build, • Build vs. buy decisions, • Timelines, costs, and resource needs, • Create and execute a practical AI roadmap tied to business outcomes and revenue opportunities, • Partner with leadership and business teams to help position AI solutions for clients, • Translate complex AI systems into clear, client-friendly value propositions, • Participate in client conversations, demos, and technical discussions to support sales and delivery, • Help shape AI products and solutions based on client needs and market demand Required Experience • 7+ years of experience in AI/ML with a strong track record of building and deploying real-world systems, • Hands-on experience with machine learning model development, fine-tuning, and deployment, • Strong experience with LLMs (e.g., OpenAI, Anthropic) and modern AI system design (RAG, embeddings, agents), • Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar, • Experience designing scalable systems, APIs, and cloud-based architectures (AWS or equivalent), • Strong understanding of data pipelines, ETL processes, and large-scale data handling, • Ability to translate business problems into practical AI solutions, • Proven ability to ship production-ready systems—not just experiments, • Strong ability to communicate complex technical concepts to non-technical audiences, including clients and stakeholders, • Experience supporting client-facing discussions, product demos, or technical sales is highly preferred Nice to Have • Experience building AI copilots, agents, or workflow automation tools, • Familiarity with vector databases and retrieval-augmented generation (RAG) architectures, • Experience with automation/integration tools (e.g., Zapier, Make, or similar), • Background in QA operations, staffing, or process-heavy environments, • Experience in fast-paced or startup environments Client & Product Impact • Act as a technical partner in client engagements, helping articulate the value of AI-driven solutions, • Contribute to building AI offerings that are not only technically sound but also marketable and scalable, • Bridge the gap between technical execution and client needs to drive adoption and revenue Benefits: • 401(k), • Dental insurance, • Health insurance, • Paid time off, • Vision insurance Work Location: Hybrid remote in San Jose, CA 95134 Pay: $220,000.00 - $250,000.00 per year

Role : Java Developer Location: SF Bay Area, CA or Austin, TX Duration: 12+ Months Interview Process: 2 Rounds (1st – WebEx Video | 2nd – On-site) Job Description We are looking for a skilled Java Developer to design, develop, and maintain scalable backend systems and APIs. The ideal candidate should have strong experience in Java-based development, cloud technologies, and performance optimization. Key Requirements • Strong experience in Java and the Spring Framework (Spring Boot preferred), • Hands-on experience with API development (RESTful services), • Solid experience with SQL and NoSQL databasesOracle, • Cassandra, • MongoDB, • Experience with AWS native services, such as:, • S3, • SNS/SQS, • Lambda, • Good understanding of memory optimization techniques, • Experience with caching strategies (Redis, Ehcache, etc.)

No H1 Transfers Position: Power Electrical Engineer Location: Sunnyvale, CA (Onsite) Exp: 4-10 years We are seeking a highly skilled and experienced Electrical Engineer with data analysis and scripting skills to join our team. The successful candidate will be responsible for designing, developing, and maintaining power data pipelines, and bringing actionable insights through data processing and analysis, and hands-on testing in lab. The ideal candidate will have a solid understanding of electrical systems and its electrical characteristics. What You Will Do: • Development of system power characterization test plans for battery runtime validation, • Power Consumption measurement of various device use cases done in on-site lab environment, • Monitoring test results, analyze data and correlate measurements against estimates, • Debugging power regressions, • Create and maintain web-based dashboards to track build to build power measurements., • Support the design scripts to automate lab equipment for remote testing for long duration tests (hours to weeks). Also, develop test scripts for device power automation and assist with dashboard data reporting, • Creating scripts to analyze raw measurements and logs from the DUTs, • Hands-on hardware bench testing, • Hands-on full Form-Factor testing within lab conditions. What You Will Bring: • Bachelor's degree in Computer Science, Electrical Engineering, or related field, • 4+ years of experience in Power consumption measurement of various device use cases done in on-site lab environments including oscilloscopes, power supplies, power measurement equipments, DMMs., • Proven experience writing and maintaining software for data processing and analysis, • Experience working with consumer electronics hardware research and development in a lab environment, • Strong analytical and problem-solving skills. Ability to spearhead troubleshooting efforts via ad-hoc data analysis., • Effective communication and collaboration skills, • Ability to work independently and as part of a team., • Highly organized, able to prioritize and balance multiple work streams to tight deadlines., • Ability to network, build relationships and drive effective decision-making across multiple functions and levels within the organization., • Experience with SQL Databases, DAG pipelines, and data pre-processing. Preferred Qualifications: • Master's degree in Computer Science, Electrical Engineering, or related field, • Experience with data engineering frameworks such as Apache Hive, Apache Airflow, , Spark SQL , or AWS S3 and EC2, • Knowledge of data visualization tools such as Tableau, Power BI, or D3.js, • Experience with cloud-based data platforms, • Certification in data engineering or a related field

Responsibilities • Function, stress and performance testing on FGaaS product, • Write test checklist, test specification, bug report, etc., • Responsible for automating the test cases, • Monitor and troubleshoot on services, • Programing test script by Python or Shell, • Knowledge in network security production or technology such as NGFW, Endpoint Security, Web Application Firewall., • Knowledge on networking protocol such as TCP/IP and also routing/switching/VPN, • Knowledge on application layer protocol such as HTTP, DNS, Radius, SSL, DHCP, LDAP, • Experience in Shell/Python script for auto testing, • Familiar with Linux operation, • Experience on network product testing and solution design or validation especial on application service performance analysis, • Basic understanding of AWS security and testing aspects (e.g., EC2, CloudTrail, Security Groups, IAM policies), • Excellent problem solving and troubleshooting skill, • Highly organized, able to multi-task, the ability to work individually, within a team and with other groups Educational Requirement: FortiGate-as-a-Service (FGaaS) is a hardware-as-a-service offering device next generation firewalls on various locations to securely maintain firewall infrastructure to deliver a wide range of network security capabilities, provided on-demand for users anywhere. It provides FortiGate, FortiManager, FortiAnalyzer orders and contracts. The US base salary range for this full-time position is $140,000-$171,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

Responsibilities: • Research, analyze, design and review system specifications of customer centric cloud security products., • Work with software development and QA team to design new cloud security features and conduct release testing., • Design user stories and test cases based on feature requirements and use cases., • Execute test cases manually and automatically. Analyze test results and report issues to development team., • Maintain and develop automated test scripts to validate all aspect of products based on variety of test cases., • Bachelor's degree in Computer Science or equivalent., • US permanent resident or citizenship only., • Minimum of 10 years of software testing or development experience., • Excellent understanding of agile development and QA test methodologies., • Proficient automation skills with Python. Java is a plus., • Working experience with AWS, Azure, or GCP., • Working experience with Docker, Kubernetes, VM, and databases. Snowflake is a plus., • Familiar with TCP/IP protocols and test experience with networking devices such as firewall, router, and switch., • Working experience with pytest automation framework and Terraform. Familiar with Selenium or boto3 is a plus. Wage ranges are based on various factors including the labor market, job type, and job level. On target earnings for this position is expected to be $112,000 - $137,000 per year. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, and this position is also eligible for commissions based on the terms of the Sales Compensation Plan

At Fortinet, we strive to provide a supportive, collaborative environment where people are empowered to do the best work of their careers. Our team members enjoy solving complex problems, and obsess over getting the details right. We love what we do and are proud of our work to secure clouds and container environments for thousands of b2b customers worldwide. Our team is growing, and we are looking for engineers with passion for automation. You will help support the Lacework platform and play a key role in building, operating, and improving the Lacework Cloud Security Platform, the world's best real-time cloud-native threat detection system. Our team develops and supports the infrastructure layers spanning our cloud accounts, network/connectivity, workload management, observability, and storage services. We build tooling to perform automated operations in order to scale the Lacework infrastructure and service. To be successful you will design, define, develop, deploy and operate internal tooling, APIs, and frameworks which streamline our workflows and automate our infrastructure. The Role: • Automate as much as reasonable to significantly improve operational efficiency of the Lacework platform, • Design, build and improve our infrastructure to enhance service scalability, resiliency, and efficiency across the company., • Identify mission-critical problems and solve them via automation, tooling, communication, and informed design., • Build and improve monitoring and instrumentation to predict future scalability or failure risks and solve them before they manifest into customer-facing issues., • Facilitate company-wide visibility into key metrics, SLAs, and milestones so that scale and resiliency are a part of every conversation., • Develop best practices alongside engineering/operations teams to improve the scalability and reliability of internal processes., • 3 years of Devops/SRE experience with production systems (depending on level), • Strong development and automation skills., • Extensive experience with Infrastructure as Code (Terraform, etc), as well as supporting tooling (Atlantis, ArgoCD, etc), • Extensive experience with Kubernetes and supporting tooling (Helm, operators, etc), • Extensive experience with a variety of cloud managed services and providers, • AWS: EKS, EC2, S3, RDS, Secrets Manager, etc., • Experience building production quality cloud infrastructure that enables reliable and rapid deployment of microservices with effective monitoring and built in high availability and/or fault tolerance., • Strong passion for using automation to create simple repeatable dev and ops patterns that ensures a stable, reliable experience for customers., • Strong cross-team communication skills., • Experience with the building blocks of large-scale systems including load balancing, distributed/cloud computing, containers, instrumentation, and monitoring., • Knowledge of cloud networking, including VPC configuration and cross-cloud connectivity., • Experience with monitoring and observability systems and tools (Prometheus, Grafana, New Relic, DataDog, etc.), • Believe everything should be "as code", • Experience with Java application servers and JVM configuration The US base salary range for this full-time position is $150,000-$195,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion.

I am hiring for a Senior Account Manager to join a semiconductor company that holds a dominant position in a mission-critical component category within AI infrastructure and high-performance compute, based in Santa Clara. Their technology sits at the core of system reliability and performance, with billions of units shipped globally and continued share gains across hyperscale and advanced compute platforms. As system complexity increases across datacenters, robotics, and autonomous environments, precision timing becomes non-negotiable. This company focuses exclusively on timing, which has enabled them to stay ahead at the leading edge. They are in a rapid growth phase and expanding their presence across key accounts. You will be responsible for: • Driving and expanding strategic relationships across key customers, • Leading complex, multi-stakeholder design-in cycles, • Securing new design wins in high-growth markets, • Operating with full ownership across a flexible, greenfield-style customer base This is a high-visibility role with real scope to influence outcomes and build long-term value. Requirements: • Experience in sales or account management within a semiconductor (chip) company, • Proven experience selling into hyperscalers, datacenter operators, or leading technology OEMs (e.g. AWS, Google, Microsoft, Meta, Cisco, Supermicro, or similar), • Experience selling into datacenter, automotive, industrial, or high-performance compute environments, • Bachelor’s degree or higher in Electrical Engineering or a related field What’s on offer: • Base salary and realistic/rewarding commission structure, • Equity, • 401(k) plan, • Comprehensive health and wellness benefits (medical, dental, vision, and more), • High-growth environment with strong career progression opportunities I am hiring for a number of technical sales roles across the semiconductor space in North America, from Sales, Business Development, Product, Marketing, FAE etc. If you’re interested, apply directly or contact Paula Kastrouni to discuss this position, or similar positions:

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. ___, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role As a Full Stack Engineer focusing on Cerebras’ manufacturing test platform, you will design, build, and maintain a comprehensive test software solution for all stages of manufacturing – from individual components to complete Cerebras systems. You will collaborate cross-functionally with hardware design, engineering, operations, and data analytics teams to develop user interfaces and data processing frameworks that directly impact manufacturing efficiency, quality, and scalability. Responsibilities • Collaborate with hardware engineers and test developers to create frameworks that facilitate the development, validation, and deployment of manufacturing tests., • Create an intuitive, functional, and flexible user interface for executing a wide variety of manufacturing tests., • Create a distributed data storage framework to sync test data across multiple manufacturing facilities., • Collaborate with data engineers and data scientists to create interactive reports for visualizing test results., • Support cross-functional initiatives across manufacturing, operations, and reliability teams to improve manufacturing efficiency, quality, and scalability throughout the entire product lifecycle. Skills and Qualifications Required • Bachelor’s degree in computer science, computer engineering, or related field., • 3+ years of professional experience in full-stack software development., • Strong proficiency in at least one advanced programming language (e.g. Python, C++)., • Experience with SQL databases (e.g. PostgreSQL, MySQL) and/or NoSQL databases (e.g. MongoDB, Redis)., • Experience with hardware manufacturing and/or related disciplines such as manufacturing test automation, manufacturing software, or manufacturing quality control., • Experience with application development in Windows and/or Linux., • Experience with cloud platforms (e.g. AWS, GCP)., • Experience with data engineering, data analytics, and/or business intelligence., • Experience with UI/UX., • Experience with networking and cybersecurity. The base salary range for this position is $175,000 to $220,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: • Build a breakthrough AI platform beyond the constraints of the GPU., • Publish and open source their cutting-edge AI research., • Work on one of the fastest AI supercomputers in the world., • Enjoy job stability with startup vitality. This website or its third-party tools process personal data. For more details, click ___ to review our CCPA disclosure notice.

About Us At Rox, we believe in empowering people to do their best work. Our platform supercharges sellers with autonomous revenue agents to do the manual work so they can focus on what they do best: selling. Just as coding agents 10x’d engineering, revenue agents 10x customer work. We are reimagining the revenue stack by building the world’s first revenue operating system, from the application layer to the system of context. With Rox, humans are evolving to orchestrators while agents manage the end-to-end customer lifecycle. Rox powers Global 2000 leaders in banking, hardware, construction, and sovereign AI, while serving dominant AI winners like Ramp and Cognition. Underlying all of this success is a unwavering, shared belief in the mission, with an unreasonable commitment of doing whatever it takes to make it a reality. The Team Nothing is possible without the world-class team, assembled to redefine how businesses operate. Members on our team have: • Founded and exited successful companies, • Held the highest positions at Google, AWS, Confluent, and New Relic, • Won IMO and IOI gold medals Core PrinciplesTaste: Craft beautiful experiences. No matter how small, we strive to make sure every detail is right. We care deeply about every interaction, both in terms of whether it helps the seller get the job done, but also how the product makes them feel. We get a visceral feeling when something is off and stop at nothing to make sure we make it right. We never settle, continuously exploring ways to delight sellers. Obsession: Commit unreasonably. In all aspects of our craft, we commit. We not only are immediately reactive to customers’ requests but are proactive about driving value even before they ask. We are also obsessive about always learning and honing our craft, improving ourselves and product every single day. Action: Get it done. Talking is easy but the difference comes from the execution. We lean heavily towards making thoughtful yet fast decisions and delivering immediately. We play in a field where trust is paramount. We earn the trust and right to empower the best sellers by forging a history of over-delivering on the promise at record speed. Your Role As an Account Executive at Rox, you’ll be responsible for bringing the world’s best revenue teams into the age of AI. You’ll lead highly consultative, value-driven sales cycles with C-level decision-makers at fast-growing startups and established enterprises. Every deal will be different — no playbooks, no scripts — just first principles thinking, deep technical curiosity, and a relentless drive to understand the customer’s pain and map Rox’s capabilities to their workflows. This role is ideal for someone who thrives in ambiguity, moves fast, and wants to help define how AI-native platforms are sold and adopted. You’ll work closely with product, solutions, and leadership to continuously evolve our go-to-market motion, all while building long-term relationships with some of the most forward-thinking GTM teams in the world. If you’re a high-agency seller with a technical edge and a builder’s mindset, we’d love to talk. Responsibilities • Own the full sales cycle: from qualification to negotiation to close, • Develop deep understanding of each prospect’s revenue workflows and pain points, • Lead tailored product demos and build compelling value narratives, • Collaborate with product and solutions teams to shape roadmap and integrations, • Continuously refine messaging and materials based on what resonates in the field, • Help shape the GTM engine at Rox — from process to tooling to playbooks, • 4+ years of strategic sales experience closing deals in the $100K–2M+ range, • Sold to enterprise buyers in a value-based, consultative sales motion, • Playbook Experience at Command of Message or Value Selling Organization, • High learning velocity and intellectual curiosity: you dig deep and RTFM, • Proven ability to operate in early-stage or high-ambiguity environments (teams <150 people), • Builder mindset: you run your deals like products, • Competitive pay with considerable equity upside

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. ___, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Test Development Engineer on our manufacturing team you will be working with diagnostics, system design, manufacturing, and quality teams to develop test automation solutions for our products from PCBA to system level. You will also work closely with our contract manufacturing sites to fulfill a complete test automation solution for manufacturing test data, yield improvement, and traceability. Responsibilities • Develop and design manufacturing test automation software/scripts to test Cerebras products from PCBA to system level., • Develop and implement GUI solutions for test automation., • Work with our contract manufacturers to develop and implement a test data reporting portal for manufacturing traceability and analysis., • Sustain our current test software and infrastructure and help root cause and resolve any manufacturing test software issues or hardware defects., • Design a web interface for user to modify/edit settings from mySQL database on AWS., • Setup the various infrastructures at our manufacturing sites to support test equipment and server operation., • Interact with contract manufacturing site for all the technical issues relating to manufacturing test., • Work with diagnostics, system design, manufacturing and quality team to bring up test automation suites for the new products.Requirements, • Bachelors in computer science, electrical engineering, or other related field., • 5+ years of experience in test automation, test development or related experience., • Skilled in C/C++, Visual Studio, Python programming languages., • Good knowledge of js, MySQL, SQL, SQL Server Reporting Service., • Good knowledge of Pexpect, SSH, Telnet, RS-232, bash script., • Good knowledge of Windows, Linux, Ubuntu, Centos, VNC viewer, Console server., • Debugging skills and knowledge of debugging complex software stack.Preferred Skills, • Experience in GUI development., • Experience in Web development., • Build a breakthrough AI platform beyond the constraints of the GPU., • Publish and open source their cutting-edge AI research., • Work on one of the fastest AI supercomputers in the world., • Enjoy job stability with startup vitality. This website or its third-party tools process personal data. For more details, click ___ to review our CCPA disclosure notice.

At Infoblox, every breakthrough begins with a bold “what if.” What if your ideas could ignite global innovation? What if your curiosity could redefine the future? We invite you to step into the next exciting chapter of your career journey. Bring your creativity, drive, your daring spirit, and feel what it’s like to thrive on a team big enough to make an impact, yet small enough to make a difference. Our cloud-first networking and security solutions already protect 70% of the Fortune 500, and we’re looking for creative thinkers ready to push that influence even further. Join us and discover how far your bold “what if” can take the world, your community, and your career. Here, how we empower our people is extraordinary: Glassdoor Best Places to Work 2025, Great Place to Work-Certified in five countries, and Cigna Healthy Workforce honors three years running — and what we build is world-class: ___ as CybersecAsia’s Best in Critical Infrastructure 2024 — evidence that when first-class technology meets empowered talent, remarkable careers take shape. So, what if the next big idea, and the next great career story, comes from you? Become the force that turns every “what if” into “what’s next”. In a world where you can be anything, Be Infoblox. Channel Account Manager - WEST Region We are looking for a Channel Account Manager in the Bay area to join our Partner Sales team supporting Northern California, Pacific Northwest, and West Canada. In this role, you will build a pipeline that translates into channel revenue with some of the most respected and high-performing partners in the industry. In this high-energy position, you will be extremely results-driven—with the expectation to create and qualify partner-initiated opportunities. This role is critical to the ongoing success of Infoblox’s leading network control, security, and cloud solutions. This is an exceptional opportunity to join a growing and innovative organization Infoblox allows you to thrive in a unique work environment that emphasizes career growth, excellence, innovation, and collaboration. Be a Contributor — What You’ll Do • Build and champion Channel development and revenue plan consistent with the overall revenue and growth targets for Infoblox's West region., • Ensure alignment of the strategy with the Sales teams by understanding their coverage models, strategies, and focus in the areas of target accounts, verticals, geography, and market coverage, • Ensure senior executive-level visibility and commitment to the company’s relationships, • Spearhead the joint company and channel value proposition with partner peering—coordinating resources, including sales and cross-functional teams, • Leverage cloud service provider (CSP) relationships such as Azure, Google Cloud Platform and AWS to drive engagement through cloud marketplaces to enhance joint opportunities and strategic alignment., • Coordinate training on new products, solutions sales, corporate direction, business processes, etc., leading to enhanced self-sufficiency and winning mindshare and cycles from competitive vendors, • Drive joint opportunity development activities with channel partners through account mapping, marketing activities, coordination of marketing budget, and utilization of Infoblox channel marketing programs, • Manage deal registration, forecast, and pipeline with channel partners and coordinate partner engagement and sales activities, • Be keenly aware of the channel partners’ strategy and be viewed and treated as a trusted and valued resource for them, • Create a sense of engagement and connection at the executive, regional sales, and SE levels Be Prepared — What You Bring • At least 10 years of technology vendor experience (networking and security experience highly preferred) selling into the channels. Experience in business development or driving revenue and opportunity is a must, • SaaS and/or managed services (MSP) sales experience is a plus, • Familiarity with cloud marketplaces and experience leveraging relationships with cloud service providers (AWS, Azure, and Google Cloud Platform) is a strong plus, • Experience engaging partners with the company, brand, and technology through education and bespoke programs and initiatives is a plus, • High energy level and the ability to thrive in a fast-paced, dynamic environment, • Ability to cultivate relationships internally, externally, and across teams, as well as the ability to align and bring stakeholders together to drive mutually beneficial outcomes, • Strong network of customers and partners in the specified region or vertical, • Excellent communication and interpersonal relationship development skills, • A self-starter attitude and excellent know - how, • High energy level and the ability to thrive in a fast-paced, dynamic environment, • Bachelor’s degree or equivalent Be Successful — Your Path First 90 Days: Immerse yourself in our culture, connect with mentors (Blox Buddies), and map the systems and meet with key stakeholders that rely on your work. Discuss and create short/long term goals. Six Months: • Have a deeper understanding of the company’s product and security offerings, • Be aligned on commercial objectives and priorities with regional leadership and field sales teams, • Be cultivating effective relationships with key partners in the ecosystem, • Build out and cultivate the channel funnel and ecosystem, • Leverage channel partners in managing deal registration, forecast, and pipeline, • Hit or overachieve your monthly targets One Year: • Align the channel strategy with the sales team to expand the coverage of the target account, • Develop new logo opportunities and deliver on sales revenue commitments and profitability objectives, • Refine and tailor partner models and programs across key strategic verticals, • Lead and win mindshare and cycles from competitors, • Meet or exceed your annual targets Belong— ___ Our culture thrives on inclusion, rewarding the bold ideas, curiosity, and creativity that move us forward. In a community where every voice counts, continuous learning is the norm. So, whether you code, create, sell, or care for customers, you’ll grow and belong here. Be Rewarded — ___ • Comprehensive health coverage, generous PTO, and flexible work options, • Learning opportunities, career-mobility programs, and leadership workshops, • Sixteen paid volunteer hours each year, global employee resource groups, and a “No Jerks” policy that keeps collaboration healthy, • Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations, • Charitable Giving Program supported by Company Match, • We practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications. Base salary for this position: $135K - $200K, plus bonus or commissions Ready to Be the Difference? Infoblox is an Affirmative Action and Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis #LI-LN1 #LI-Hybrid #LI-Remote

At Two Bear Capital we believe in partnering with our portfolio companies to build the best teams possible. We look forward to working with you and Rainfall Health on their new Director of Software Engineering role. Director of Software Engineering (AWS Amplify & Digital Health) *please note that this role requires willingness to travel to the Bay area and/or relocating to the Bay area *please note that this position requires US citizenship/does not provide sponsorship About Rainfall Health Rainfall Health is an AI-powered compliance and workflow platform helping health systems succeed under CMS’s TEAM Model and other value-based care programs. We partner with hospitals, surgeons, and care teams to improve episode performance, streamline operations, and maximize reimbursement — all while supporting better patient outcomes. Our platform sits at the intersection of clinical workflows, financial performance, and intelligent automation. The Role We are looking for a Director of Software Engineering with deep experience in AWS Amplify and modern cloud-native architectures to help build and scale our digital health platform. You’ll play a key role in designing secure, reliable systems that integrate with healthcare data sources and surface actionable insights to clinical and operational teams. This role is ideal for someone who enjoys solving complex data and workflow challenges in a regulated healthcare environment. What You’ll Do Platform & Application Development • Design, build, and maintain scalable web applications using AWS Amplify, serverless services, and modern frontend frameworks, • Develop robust APIs and backend services using AWS-native tools (e.g., AppSync, Lambda, DynamoDB, RDS), • Ensure performance, reliability, and security across distributed cloud systems Healthcare Data & Integrations • Build and maintain integrations with Electronic Health Records (EHRs) and other healthcare systems, • Work with healthcare interoperability standards such as FHIR, HL7, and APIs from major EHR vendors, • Design data ingestion pipelines that normalize, validate, and securely store clinical and operational data Data Visualization & Insights • Develop interactive dashboards and data visualization tools for clinical and operational users, • Translate complex healthcare data into intuitive, actionable insights, • Collaborate with product and design teams to create user experiences tailored to care teams and administrators Cross-Functional Collaboration • Work closely with product managers, designers, and clinical stakeholders to deliver features aligned with real-world workflows, • Contribute to architectural decisions and technical roadmap planning, • Mentor other engineers and promote best practices in code quality, testing, and security Security & Compliance • Implement best practices for HIPAA-compliant infrastructure and data handling, • Ensure systems meet high standards for privacy, auditability, and reliability in a healthcare environment What We’re Looking For Required: • 8+ years of software engineering experience building production-grade applications, • Hands-on experience with AWS Amplify and serverless AWS architectures, • Strong experience with modern JavaScript/TypeScript frameworks (e.g., React, Next.js, Vue), • Experience building and consuming RESTful and/or GraphQL APIs, • Solid understanding of cloud security and best practices for handling sensitive data Preferred: • Experience in digital health, healthcare IT, or healthtech startups, • Experience integrating with EHR systems (Epic, Cerner, Meditech, etc.), • Familiarity with FHIR, HL7, CCD, or other healthcare data standards, • Experience building data visualization tools (e.g., D3, Chart.js, Recharts, or BI tools), • Knowledge of healthcare compliance frameworks (HIPAA, HITRUST, SOC 2) Nice to Have • Experience with real-time data pipelines or event-driven architectures, • Background in analytics, population health, or value-based care technology, • DevOps experience with CI/CD pipelines and infrastructure as code What Success Looks Like • Seamless, secure integrations with healthcare systems, • Intuitive dashboards that drive decision-making for clinical and operational teams, • A scalable, maintainable architecture that supports rapid product growth, • Strong engineering culture centered on reliability, security, and user impact

Fortinet is looking for a Senior/Staff Software Engineer on the FortiCNAPP Team! Be a valuable team member that owns and operates high-availability, cross-cloud, large-volume, data processing system that is one of the foundational pieces of Fortinet-Lacework's Cloud security platform. Design and implement resilient, flexible, and highly scalable platforms for collecting and processing terabytes per day. Responsibilities • Design and develop services to scale to massive customer accounts in the cloud, • Develop functional specifications and design documents by collaborating with stakeholders, • Write high quality, well documented, and well-tested code, • Participate in code and design reviews, • Design, build, test, and operate highly scalable, highly available, cost-effective, mission-critical services, • Build roadmaps and goals in partnership with engineering and product teams, • Work cross-functionally with other Engineering, Product Management, Support, Sales teams as well as Customers, • Inform strategic build-vs-buy decisions, • Demonstrate good communication skills and present work to group leadership and at group-wide events, • Actively participate in recruiting other Engineers, • Bachelor's degree in Computer Science or related, relevant field, • Solid foundation in Computer science fundamentals, • 6+ years of relevant experience, • Implemented scalable microservices using languages like Java/Go/Rust. Python experience would be beneficial, • Experience in one or more data stores and technologies including SQL Databases, Snowflake, Postgres, Redshift, Hadoop, Cassandra, Lakehouse etc., • Ability to build systems that balance scalability, availability, and latency, • Used at scale or contributed to the development of the following types of distributed systems - messages brokers (Kafka, SQS), API and application servers (REST, GRPC), • Used at scale or contributed to the development of services in the Cloud (AWS, GCP, Azure), • Experience in containerized deployment or Kubernetes., • Experience in graph data algorithms and processing. Wage ranges are based on various factors including the labor market, job type, and job level. On target earnings for this position is expected to be $185,000 - $265,000 per year. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, and this position is also eligible for commissions based on the terms of the Sales Compensation Plan

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. The Manager, Solution Engineering is responsible for overseeing all aspects of server rack integration operations. This role involves managing a team, coordinating with various departments, and ensuring the seamless integration of server racks in accordance with organizational goals and quality standards. The Solution Manager will play a critical role in driving efficiency, productivity, and maintaining a high level of customer satisfaction throughout the production process. Includes the following essential duties and responsibilities (other duties may also be assigned): • Leads the day-to-day operational support for Cluster, Storage, HPC and Cloud infrastructures., • Builds and tests Cloud/HPC or AI in-house and onsite testing, deployment, and platforms to meet customer's requirement., • Documents complex test procedures and troubleshooting procedures related to servers/networks/clusters software and hardware., • Troubleshoot hardware and software issues. Provide fixes in a timely manner., • Deploy cluster/storage infrastructures and perform the tests accordingly., • Conduct tests and benchmarks against server hardware, storage, network, applications, HPC and Machine Learning workflows., • Collect, visualize, and analyze test and benchmark results., • Write technical documentation including test reports and standard operating procedure (SOP)., • Coordinate with cross-functional teams to ensure smooth workflow and timely project delivery., • Manage project budgets, control costs, and drive continuous improvement initiatives., • Maintain clear communication with stakeholders and address customer feedback for future enhancements, • Bachelor's degree in Computer Science or equivalent work experience preferred., • 8+ years of proven experience in a HPC/AI or Cloud/Network management., • Strong leadership skills with the ability to motivate and manage teams effectively., • In-depth knowledge of Cloud/HPC deployment and testing., • Excellent project management skills, including the ability to prioritize tasks, manage multiple projects simultaneously, and meet deadlines., • Strong problem-solving and decision-making abilities, with a proactive approach to identifying and resolving issues., • Excellent communication skills, both verbal and written, with the ability to collaborate and build strong relationships with stakeholders at all levels., • It's a plus if you have CCNA, AWS, COA or RHCE certificates., • Positive attitude, desire to learn, time management, and strong interpersonal skills are a plus! $150,000 - $158,000 The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

Business Area: Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. This role is not eligible for immigrationsponsorship. Cloudera is looking for a Staff Software Engineer to join the Enterprise AI Platform team and help drive development of Cloudera's next-generation AI and machine learning platform. You will be responsible for helping design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale. This role requires an empathetic mindset and close collaboration with front-end/web UI engineers, data scientists, designers, and product management. We look for "The Startup Spark", a desire to create new things, dive in wherever there's a need, eagerness to make an impact as an individual, and the willingness to learn new things. You must be self-motivated, innovative, and proactive. The role offers significant opportunities for growth. Read about the Forrester Wave Report on Cloudera's Machine Learning offerings ___. As a Software Engineer you will.... * Help build the leading platform for AI and Machine Learning in the enterprise. * Design, code, and implement elegant, scalable, enterprise-quality AI application services powered by machine learning models. * Work to enhance developer velocity and team agility. * Build strong relationships and collaborate with platform and front-end engineers, quality engineers, UX designers, as well as Product Management, Field, Professional Services, and other partners. We are excited if you have.... * 10+ years of experience building scalable microservices or applications using Go, Node.js, C# or Java * Experience with foundation models, prompt engineering, fine-tuning, semantic search and Retrieval-Augmented Generation (RAG) using vector databases such as Pinecone, Milvus, etc. * Experience building and deploying Generative AI applications. * Experience with microservices design and development (Go, GRPC, SQL) on Kubernetes * Demonstrate ability to go deep into technology and complex distributed systems * Experience in crafting high-level and low-level design * Experience building scalable, robust and secure enterprise applications * Self-driven and motivated, with a strong sense of ownership and craftsmanship * Strong written and verbal communication skills. You may also have... * Experience with Generative AI frameworks (LangChain, Guidance, NeMo etc.). * Experience with building AI applications with machine learning models using data science and machine learning tools (Python, Tensorflow, Spark, MLflow, R, etc.) * Experience with at least one of the following Cloud technologies - Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure * Full-stack experience with React, HTML, CSS. * Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience with AI/ML orchestration software (Kubeflow, KServe, Knative) * Experience using Big Data technologies like Spark, Hive etc. * Proven track record of collaborating with agile teams across geographically dispersed locations What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-SZ1 #LI-HYBRID

Join Fortinet as a Senior Software Developer and play a pivotal role in the entire software development lifecycle of our existing and forthcoming GenAI products and more. This position offers the chance to engage in various stages of the development process, from debugging and testing to contributing to the design and implementation of innovative features. You will utilize cutting-edge GenAI/LLM technologies to enhance our next-generation GenAI platform, setting new standards for Fortinet products. Our team is dedicated to creating cutting-edge solutions such as FortiGPT and other GenAI innovations, aiming to seamlessly integrate AI across our product range. Responsibilities: • Design, develop, test, and maintain Fortinet's GenAI/ML software systems., • Direct involvement in troubleshooting and resolving issues in existing products., • Execute system integrations in both cloud-based and on-premises environments., • Ensure code quality and manage updates using source control systems., • Optimize and support existing software systems and document maintenance procedures., • Strong programming skills are required. Candidates should have a CS/AI major for entry-level (fresh undergraduate/graduate) roles, approximately 5 years of software development experience for Senior-level positions, and 10+ years of experience for Staff Engineer roles., • Proficiency in Python on Linux is crucial. Experience in other programming languages, such as Java and C++ is a plus, • Minimum of 3 years' experience with a deep understanding of AWS or Azure, and containerized environments, Docker is preferred., • Solid understanding of LLM and associated development environments; experience in GenAI development is beneficial., • Hands-on experience in Web development, • Hands-on experience in relational and vector database development, • Hands-on expertise in large-scale and high-performance software design, architecture, and multithreading programming, • Knowledge of professional software engineering practices, including version control, coding standards, and code reviews., • Familiarity with QA standards and software development principles., • Effective communication skills and the ability to work collaboratively across teams., • Ability to manage multiple projects simultaneously and effectively juggle various tasks., • Highly motivated, responsible, adaptable, capable of learning new technologies swiftly, and keen in innovation. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

Fortinet is seeking a Cloud Architect supporting Public Cloud with a focus on AWS. As a part of the Public Cloud team, this role will support the technical alliance relationship with AWS to develop additional feature integration, novel use cases, and overall improved value of Fortinet on AWS. The position will also support customer engagements and evangelism of Fortinet's cloud-enabled portfolio. The position will work closely with Product Management and Development, Field Sales teams, and customers to deliver lightweight service enhancements leveraging core Public Cloud capabilities. Public Clouds services include IaaS, SaaS. Candidates should have in-depth understanding of cloud security services, such as SCA, DAST, CWP, CSPP, CASB and other SaaS solutions. This role is a hands-on engineering and architecture position that requires development and/or DevOps abilities. Responsibilities: • Create organizational workflow enhancements to deliver public cloud-sourced services, such hands-on labs, customer POCs, tool integration, data enrichment and other uses, • Provide technical guidance on Public Cloud matters to internal stakeholders, • Develop simple to complex scripts leveraging Cloud Service Provider (CSP) capabilities, • Document and maintain script and application libraries or repositories, • Provide technical guidance on Public Cloud integration and development, ex. the use of CSP APIs and how they can be leveraged, • Translate business requirements to programmatic logic, • Conduct proof of concepts, • Support Professional Services activities, • Develop customer-facing documentation, • Lead training activities for internal and external partners and customers, • Create reference designs and code that applies CSP best practices, • Advise Product and field Engineering on solution options, feature requirements, and reference designs. Requirements: • 5+ years of development and/or scripting experience with a major language., • Strong capabilities in one or more of Python, Node.js, C#, C++, C, Ruby, Perl, • Understanding of database services such as DynamoDB, PostgreSQL, etc., • Familiarity with CI/CD tools such as git, jenkins, • Ability to use data structures such as yaml, XML, JSON, • Cloud development experience highly desired with 2-3 using any of AWS, Azure, Oracle OCI, or Google GCP, Alibaba Cloud, • Familiarity with orchestration tools (ex. Terraform, Ansible, Chef, puppet, Lambda), • 2 -3 years of experience in the design and implementation of Public Cloud services, • 5+ years of experience using cloud tools (ex. Git, AWS Dev tools), • Experience in network security highly desired, including VPN, Proxies, Authentication, etc., • Technical writing and network documentation skills highly desired, • Bachelor's degree in CompSci or similar and/or equivalent experience required, • Master's preferred Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. On target earnings for this position is expected to be $228,100 - $253,400 per year. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, and this position is also eligible for commissions based on the terms of the Sales Compensation Plan

The application window is expected to close on: 04/10/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team Our team delivers endtoend engineering across the software stack, specializing in Linux kernel development, Yoctobased opensource systems, and platform security. We maintain and evolve the core kernel, integrate and optimize Yocto layers, and drive security hardening with a strong focus on CVE triage, patching, and compliance. We are also building the next generation of intelligent engineering tools through Agentic AI applications that accelerate developer productivity, automate debugging workflows, and enhance system observability. In parallel, we develop machine learning solutions for hardware failure prediction, enabling proactive reliability management and datadriven product quality improvements. Together, we combine deep systems expertise with advanced AI capabilities to deliver a secure, reliable, and intelligent software platform. Your Impact Senior AI/ML Engineer to architect and build agentic AI systems and the MCP (Model Context Protocol) server layer that securely exposes enterprise tools, knowledge, and actions to LLM agents. You'll lead the end-to-end lifecycle of ML applications from data and modeling to deployment, observability, and safety while setting platform standards for reliability, security, and developer experience. Minimum Qualifications: • BS/MS in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related technical field., • 7+ years of industry experience delivering production AI/ML systems or developer platforms at scale., • Experience with Python, plus one of the following: Go/Java/C++/Rust., • Experience building agentic AI systems (tool-using agents, autonomous workflows, decision/action pipelines)., • Hands-on experience designing, implementing, and operating MCP servers (capabilities, sessions, schemas, secure integrations)., • Knowledge of LLMs & GenAI: prompting, RAG, vector search, fine-tuning/LoRA, safety/guardrails, evaluation., • Production experience with cloud (Azure/AWS/GCP), Docker/Kubernetes, CI/CD, and observability (metrics, tracing, logging). Preferred Qualifications: • Shipped enterprise-grade MCP servers integrating internal tools and external SaaS., • Experience with LangChain, Semantic Kernel, or agent frameworks; Hugging Face Transformers, PyTorch/TensorFlow/JAX., • Retrieval systems & vector DBs (FAISS, Milvus, Weaviate, Pinecone); hybrid search and embedding strategies., • Strong data engineering background: streaming/batch (Kafka/Kinesis/Pub/Sub; Spark/Beam), SQL/NoSQL, data lakes/warehouses., • Security & governance: OAuth/OIDC, secrets management, KMS, RBAC/ABAC, SOC 2/ISO 27001, GDPR/CCPA familiarity., • Contributions to open-source in LLM tooling, agent frameworks, or retrieval/search. At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. The starting salary range posted for this position is $165,000.00 to $241,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $165,000.00 - $277,600.00 Non-Metro New York state & Washington state: $146,700.00 - $247,000.00 • For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

We are seeking a highly skilled DevOps Engineer to join our team. In this role, you will design, implement, and maintain scalable, resilient, and secure infrastructure. You will work closely with Development, product, and QA teams to enhance development workflows, optimize CI/CD pipelines, and ensure system reliability. This is a critical position for driving operational excellence and fostering a culture of collaboration between development and operations. Key Responsibilities • Infrastructure Design & Management: Architect, implement, and manage scalable cloud infrastructure using platforms like AWS, Azure, or Google Cloud., • CI/CD Pipeline Development: Build and optimize CI/CD pipelines to streamline code deployment, testing, and delivery processes., • Monitoring & Incident Response: Set up and maintain system monitoring, logging, and alerting tools (e.g., Prometheus, Grafana) to ensure high availability and quick response to incidents., • Automation: Develop automation scripts and tools using languages such as Python, Bash to reduce manual interventions and improve system efficiency., • Collaboration: Work with development, QA, and IT teams to integrate DevOps best practices into every stage of the software lifecycle., • Security: Implement and enforce best practices for infrastructure security, including vulnerability assessments, patch management, and IAM policies., • Cost Optimization: Continuously monitor and optimize cloud resource usage to ensure cost efficiency without compromising performance. Must-Have Qualifications: • Experience: Minimum of 2-5 years of experience in DevOps, Site Reliability Engineering, or a related role., • Cloud Expertise: Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud, including provisioning and managing resources., • CI/CD Tools: Proficiency with tools such as Jenkins, GitLab CI, CircleCI, or equivalent., • Infrastructure as Code (IaC): Experience with Terraform, CloudFormation, or similar tools., • Containerization & Orchestration: Strong knowledge of Docker and Kubernetes (deployment, scaling, monitoring)., • Scripting & Automation: Proficiency in scripting languages like Python, Bash, or Go., • Monitoring Tools: Experience with monitoring and logging tools such as Prometheus, ELK Stack., • Version Control: Advanced knowledge of Git and branching strategies., • Experience with serverless computing (e.g., AWS Lambda)., • Knowledge of database administration (SQL and NoSQL)., • Familiarity with compliance frameworks (e.g., SOC2, ISO 27001). Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Proactive and self-motivated with a growth mindset. The US base salary range for this full-time position is $110,000-$150,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

Business Area: Engineering Seniority Level: Associate Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. At Cloudera, our Data Services Pillar is the heart of data innovation. We don't just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI. You will be a key member of the NFQE (Non Functional QE) team that drives the performance reliability of Cloudera's Kuberneteshosted data services. The role blends deep technical knowledge of performance testing, distributed data workloads, and container orchestration with a datadriven mindset. You'll design, automate, run, and analyze performance tests for Cloudera's flagship services, ensuring they meet or exceed customerdefined SLOs/SLAs at scales. As a Performance Engineer, you will: * Work with internal development teams and the open source community to proactively drive performance improvements/optimizations across our data warehouse and Data Engineering stack. * Work with product managers, developers and the field team to understand performance and scale requirements, and develop benchmarks based on these requirements. * Develop automation to execute benchmarks, collect and aggregate metrics and profiles, and report results, trends, and regressions. * Analyze performance and scalability characteristics to identify bottlenecks in large-scale distributed systems. * Perform root cause analysis of performance issues identified by internal testing and from customers and suggest corrective actions. * Evaluate performance of systems and provide related guidance to the team. We are excited about you if you have: * 3 + years of industry experience in performance-related work, ideally on large-scale distributed systems * Understanding of DBMS algorithms and data structure fundamentals. * Understanding of hardware trends and full-stack systems performance: CPU, RAM, storage, network, Linux kernel, JVM, and distributed systems performance. * Understanding of performance analysis tools and techniques. * Strong design, coding skills, and test automation skills (Java/C++/Golang/Python preferred) * Knowledge of relevant frameworks, cloud provider knowledge, K8s, etc. * Ability to work in a distributed setting with team members spread in multiple geographies * Demonstrated ability to work on large cross-functional projects, including strong written communication skills and a collaborative mindset, as you will be working with many teams inside and outside of Cloudera. * Experience with benchmark and performance test design. You eshould understand basic concepts of performance testing including different types of performance tests (microbenchmarks, end-to-end benchmarks, concurrency and scale testing), how to reduce (or deal with) noise in test results, etc. * Experience designing performance tests that provide useful insights into specific aspects of performance. * Solid understanding of basic performance theory - in particular a very good understanding of latency, throughput, and concurrency and how they relate to each other. * Strong understanding of the types of workloads they'll be testing Ideally they should have specific experience creating performance tests for the specific product area they'll be working on (SQL, ML, etc). * B.S. or M.S. in Computer Science or equivalent experience. You might also have: * Experience with the Hadoop ecosystem (i.e. Hive, Impala, Spark), in specific Prior work on largescale data lakehouse or datawarehouse performance * Hands-on experience with containerization, Kubernetes, public cloud infrastructure (AWS, Azure and/or GCP) and mesh-networks * Certifications: CKA/CKAD, AWS Solutions Architect, GCP Cloud Architect, Azure Solutions Architect, or equivalent. * Security & Compliance: Experience writing performance tests that also verify dataprivacy and audit compliance (e.g., GDPR, HIPAA). Why this role matters: This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You'll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data. We believe in the power of open source. You'll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You'll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet. This position is not eligible for sponsorship. The expected base salary range for this role in: * California is $124,000 - $155,000 The salary will vary depending on your job-related skills, experience and location. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-SZ1 #LI-HYBRID

We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: You are a visionary and hands-on network engineering leader who thrives on architecting robust, scalable, and future-ready network solutions across both data center and cloud environments. With over a decade of deep technical expertise, you bring an expert-level understanding of complex protocols and architectures, including BGP, MPLS, Segment Routing, EVPN, and VXLAN, and excel in leveraging Cisco ACI to its fullest potential. You have a proven track record of program-managing and driving cross-functional projects, ensuring seamless collaboration between diverse technical and business stakeholders. Your approach is grounded in innovation and agility, always seeking new technologies and methodologies to elevate operational efficiency, security, and reliability. As a mentor and team leader, you are passionate about empowering others, sharing knowledge, and fostering a culture of continuous learning. Automation and AI-driven solutions are second nature to you, and you are adept at implementing tools that streamline workflows and enhance observability. Your strong organizational skills and results-driven mindset ensure that critical projects are delivered on time and aligned with business objectives. You excel at communicating complex concepts to both technical and non-technical audiences, and your adaptability enables you to pivot strategies in a fast-paced, evolving environment. If you are driven by impact, eager to shape the future of network infrastructure, and ready to lead with both vision and execution, Synopsys is the place for you. What You'll Be Doing: • Lead the design and implementation of scalable, high-performance network architectures integrating both data center and cloud environments to support evolving business needs., • Develop and influence strategy and standards for data center engineering, setting technology direction across hybrid environments., • Program manage and drive complex cross-functional projects, ensuring alignment and collaboration among stakeholders to meet project goals and timelines., • Champion a culture of innovation, agility, and continuous improvement within the network engineering domain., • Own the end-to-end data center network design lifecycle, from blueprinting to day-2 operations, and define repeatable templates for broader support., • Propose and lead adoption of new solutions, inspiring teams to embrace innovative approaches and technologies., • Develop and maintain comprehensive documentation for network configurations, processes, and procedures., • Implement automation tools and AI-driven solutions to optimize network operations and reduce manual intervention., • Establish and track key performance indicators (KPIs) to drive continuous improvement in network performance and efficiency., • Mentor and guide junior engineers, fostering growth and knowledge sharing within the team., • Stay ahead of industry trends and emerging technologies in data center and cloud networking, evaluating their impact on operations., • Communicate effectively with stakeholders at all levels, making complex technical topics accessible to all audiences. The Impact You Will Have: • Shape the strategic direction of Synopsys' network infrastructure, enabling rapid business growth and innovation., • Drive the adoption of cutting-edge technologies and best practices, enhancing Synopsys' competitive edge in the industry., • Ensure the reliability, scalability, and security of critical production and development environments., • Empower and upskill the next generation of network engineers through mentorship and leadership., • Streamline network operations through automation and AI, reducing downtime and operational costs., • Enhance observability and monitoring, providing actionable insights that improve system performance and user experience., • Foster a culture of innovation and agility, ensuring Synopsys remains adaptable in a dynamic technology landscape., • Support cross-functional teams with robust network solutions that underpin key business initiatives. What You'll Need: • BS in Engineering or related field (MS preferred)., • 10+ years of experience in network engineering/data center infrastructure with significant ownership of large-scale networks., • Expert-level knowledge of DC and service provider protocols: BGP, MPLS, Segment Routing, EVPN, VXLAN, QoS, and traffic engineering., • Advanced proficiency with Cisco ACI (Application Centric Infrastructure), including automation via APIC REST, SDK, and Ansible collections., • Strong experience with network automation (Python, Ansible) and observability tools (gNMI, NetFlow/IPFIX/sFlow, Elastic, Grafana)., • Demonstrated leadership in mentoring teams and managing complex projects from inception to completion., • Proven program management skills with the ability to align cross-functional teams and achieve results., • Excellent analytical, organizational, and problem-solving abilities with a focus on KPIs and operational excellence., • Strong written and verbal communication skills, with the ability to convey technical information to diverse audiences., • Bonus: Relevant certifications (CCNP, CCIE Data Center, AWS Certified Solutions Architect), Cisco ACI multi-site/fabric mastery, strong security acumen, and familiarity with DC operations (power, cooling, DCIM). Who You Are: • Innovative thinker who embraces change and challenges the status quo., • Collaborative leader who excels at motivating and mentoring others., • Strong communicator, adept at translating complex technical concepts for any audience., • Results-oriented and driven by measurable impact., • Organized and able to juggle multiple priorities in a dynamic environment., • Adaptable, resilient, and comfortable working in fast-paced, evolving settings., • Committed to continuous learning and professional growth-for yourself and your team. The Team You'll Be A Part Of: You'll join a high-performing, collaborative Network Engineering team at Synopsys, dedicated to building and maintaining the backbone of our global operations. Our team is passionate about designing, implementing, and supporting world-class network solutions that enable innovation, reliability, and security across our data centers and cloud platforms. We foster a culture of learning, agility, and technical excellence, and we're looking for a leader who can help us set new standards for what's possible in network engineering. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability. In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S. ___ Save

We are looking for an experienced Principal Software Engineer / Product Architect to lead the technical direction of FortiCNAPP's Customer Administration Platform. You will be a key technical leader, shaping architecture, guiding engineers, and collaborating across product, and infrastructure teams to build highly available and secure systems for customer identity, onboarding automation, and lifecycle management at global scale. Responsibilities • Lead architecture and design of distributed, cloud-native backend systems for authentication, onboarding, and tenant lifecycle automation., • Drive the evolution of FortiCNAPP's authentication, authorization, and identity management systems to enable tighter integration with the broader Fortinet ecosystem., • Design and deliver scalable onboarding automation for multi-cloud environments (AWS, Azure, GCP), ensuring frictionless customer self-deployment., • Play a pivotal role in architecting and designing end-to-end customer lifecycle management capabilities, including license management, tenant provisioning, and data retention strategies., • Define and execute the long-term roadmap for a unified customer communication system that empowers teams to manage engagement, deliver critical updates, and integrate communications seamlessly across the FortiCNAPP platform., • Collaborate with cross-functional teams (DevOps, QA, PM, Security) to ensure system reliability, observability, and compliance., • Take on a technical lead role, mentoring engineers, shaping design and architecture, and building a culture of ownership, engineering excellence, and continuous improvement across the team., • 10+ years of experience in software engineering for cloud-based, distributed systems, including 5+ years in a technical leadership role., • Experience bridging UI/UX thinking with large-scale backend system design, candidates with strong front-end foundations who can architect complex systems are highly encouraged., • Deep understanding of cloud platforms (AWS, Azure, GCP) and containerization/orchestration technologies (Docker, Kubernetes)., • Strong expertise in microservices architecture, RESTful APIs, and backend frameworks (Python, Go, Java, etc.)., • Proven experience designing and scaling identity, access control, and lifecycle management systems., • Proficiency with infrastructure-as-code (Terraform, Helm, CloudFormation) and modern CI/CD pipelines., • Solid foundation in relational databases (MySQL, Postgres) and data modeling for multi-tenant systems., • Excellent collaboration, communication, and mentoring skills, ability to lead through influence across distributed teams., • Experience integrating enterprise identity providers (SAML, OAuth, OIDC, SCIM) with large-scale SaaS products., • Familiarity with Fortinet, Lacework, or similar cybersecurity platforms., • Background in cloud governance, cost optimization, and compliance. You'll be joining a core platform team shaping how enterprises connect and secure their cloud environments in FortiCNAPP. We're building the foundation for seamless onboarding, unified identity integration, and intelligent lifecycle automation which empowers customers to onboard in minutes, identify coverage gaps, and achieve full protection. You'll have significant technical ownership, global impact, and opportunities to shape the architecture that powers thousands of enterprise tenants. The US base salary range for this full-time position is $212,000-$259,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time, as well as a comprehensive leave program. Wage ranges are based on various factors, including the labour market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at the time of hire and annually at the Company's discretion.

Cloud Solution Architect This individual will be part of the Cloud Security Consul8ng team and become the center of excellence for specic Cloud Security technology areas and associated For8net products/ solu8ons. They will need to be comfortable in front of customers of all levels and be able to deliver paid consul8ng services and proof of concepts. Ideal candidates will have excellent knowledge of public and/or private cloud technologies, software development experience, network/applica8on security exper8se, Genera8ve AI / Agen8c AI experience, and support four main areas of responsibility: 1. Cloud and AI Security Solution Expert • Assist customers with crea8ng mul8-cloud and hybrid cloud security blueprints with a focus on vendor-neutral and cloud-agnos8c design and implementa8on best prac8ces, • Work with other team members to develop Agen8c AI applica8ons to address customers' challenges in the cloud and cybersecurity domains eec8vely, • Become an expert in For8net products within cloud solu8ons, • Maintain knowledge of compe88ve products and services, • Respond to industry analyst inquiries and conduct demos 2. Trusted Advisor • Attend customer mee8ngs and provide expert opinion on cloud security design/ architecture, • Provide custom architecture and automa8on code, as per the requirements set by a given customer for their cloud deployments, • Publish reference architectures for specic use cases 3. Continuous Learner • Dedicate a percentage of their 8me to ongoing training/educa8on for new technologies, • Help drive technical webinars and hands-on demo's, • Help the NSE ins8tute with advanced course materials, • Help training teams at SE Training events 4. Evangelist • Publish public informa8on, such as whitepapers and blogs around salient technology topics, • Draft architecture papers for in-depth analysis and reasoning for technology adop8on, • Con8nuous ac8ve networking within the industry to build rela8onships and awareness Required Skills: • The ideal candidate will have 10+ years in roles such as SE, Consul8ng SE, Software Architect, or Solu8on Architect in the Cloud, Networking, Infrastructure, and/or Cybersecurity industries, • In depth knowledge and hands on experience with one or more of the following public/ private cloud platforms: AWS, Azure, GCP, NSX, • Prociency in modern software architecture using CI/CD, DevOps tools (Ansible / CloudForma8on / Azure ARM), Infrastructure as Code (IaC), Scalability, and API-rst strategy, • Prior experience in building Agen8c AI applica8ons is highly desired, • Working knowledge of Python, Java and/or other programming languages, • Cloud cer8ca8ons such as AWS Solu8on Architect and GCP Cloud Architect are desired, • Prior experience in designing and building applica8ons using Container and serverless technologies is preferred, • Excellent presenta8on and demo skills, • Superior documenta8on and technical wri8ng capabili8es, • Five or more years of experience with cloud solu8ons, virtual platforms, and software development, • Prociency in English languages is required, • Comfortable in public speaking Education: • Bachelor's Degree or equivalent experience. Graduate Degree favorable The US base salary range for this full-time position is $182,000-$222,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time, as well as a comprehensive leave program. Wage ranges are based on various factors, including the labour market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at the time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 890,000+ customers around the globe.

Fortinet is looking for a Senior Machine Learning Engineer to assist FortiCNAPP Team! Be a valuable member of the team that owns and operates high-availability, cross-cloud, large-volume, AI/ML infrastructure ecosystems. As a Machine Learning Engineer, you will help explore, refine, and build new techniques to improve the quality of ML models to capture anomalous and vulnerable cloud posture and activity as well as improve efficacy in security intrusion detection. Responsibilities * Design and develop models that have high precision and low false positive rates. * Augment model outputs to facilitate security personnel to better investigate and remediate flagged activities or vulnerabilities. * Work on projects that directly influence our enterprise and consumer offerings with expectations of developing code that ships. * Conduct thorough data investigations across a massive number of customer accounts and cloud sources to ensure data driven success. * Analyze and improve efficiency, scalability, and stability of various system resources. * Build roadmaps and goals in partnership with engineering and product teams. * Work cross-functionally with other Engineering, Data Science, Product Management, Support, Sales teams as well as Customers to deliver quality platform capabilities. * Review, design and code, and make sure what we ship adheres to high engineering standards * Demonstrate good communication skills and present work to company leadership and at company-wide events Minimum Qualifications * Bachelor's degree in Computer Science or related, relevant field * 3+ years of relevant experience * Knowledge and experience with Production Machine Learning Development Lifecycles from Data Analysis, Training, Validation, to Deployments. * Solid foundation in Computer science fundamentals and distributed systems. * Experience in one or more data stores including SQL Databases, Snowflake, Postgres, Redshift, Hadoop, Cassandra, etc. * Ability to build systems that balance scalability, availability, and latency. * Great communication skills and a team player. Preferred Qualifications * M.S or Ph.D relevant to Machine Learning, Mathematics, or Statistics. * Used at scale or contributed to the development of services in the Cloud (AWS, GCP, Azure) * Experience in containerized deployment or Kubernetes. * Experience in graph data algorithms and processing. * Experience with one or more Machine Learning Frameworks such as torch, scikit-learn, pandas, tensorflow, huggingface, transformers. * Experience with generative AI technologies such as AWS Bedrock, Retrieval Augmented Generation, Prompt Engineering, Natural Language Processing/Generation. * Maintains practice in keeping up with Academia and Industry State of the Art or relevant research experience. * The US base salary range for this full-time position is $170,000-$230,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time, as well as a comprehensive leave program. Wage ranges are based on various factors, including the labour market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at the time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. The IT Engineer is responsible for designing, implementing, managing, and optimizing an organization's IT infrastructure. This role involves maintaining high availability, performance, and security of systems while supporting business operations and strategic initiatives. As a senior-level position, the engineer provides technical leadership, mentors junior staff, and drives infrastructure improvements. The IT Engineer works across servers, networks, cloud platforms, and enterprise systems to ensure reliable and scalable IT operations. The Senior IT Systems Engineer acts as a bridge between technical teams and business stakeholders, helping translate requirements into robust technical solutions. • Designing and maintaining enterprise-wide infrastructure., • Managing cloud environments and on-premises infrastructure., • Leading system upgrades, migrations, and automation initiatives., • Mentoring junior team members and providing technical leadership., • Developing disaster recovery and business continuity plans., • Proven hands-on experience in Hyper-V, PVE (Proxmox) environments: • Storage Spaces Direct (S2D), • Azure Stack HCI, SCCM VMM, • Active Directory, • DNS/DHCP, • PowerShell • Bachelor's degree in IT related fields (Computer Science, Computer Engineering, Information Technology, etc.), preferred 5+ years of experience in a server/system support role, • Experience in Cloud technologies (Azure/AWS), virtualization (Hyper-V and Proxmox), • Key qualifications include expertise in Windows/Linux environment, infrastructure automation, project leadership, and relevant certifications, like MCSE or VMware VCP, • Experienced in ITIL or equivalent IT operation framework, • Experienced in IT process improvement and documentation, • Experienced in dealing with various compliance and auditing, • Experienced in Automation/Scripting, • Experienced in Networking with strong understanding of network protocols (TCP/IP, DNS, DHCP, VPN) and security principles, • Experienced in infrastructure with storage systems (SAN/NAS), firewalls, and data center management The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

Job Responsibilities: -Develop, test, and maintain backend of web-based applications. -Collaborate with product and design teams to implement features. -Write clean, scalable, and efficient code. -Debug and resolve technical issues to ensure system stability. -Document software development processes and technical specifications. Qualifications: -Bachelor's degree in Computer Science or related field. -Proficiency in programming languages like C++ or go. -Good understanding in HTTP/HTTPS protocol. -Rich experience in micro-service development, familiar with Kubernetes, Kafka, and other frameworks -Experience with relational databases such as MySQL or PostgreSQL, and non-SQL database. -Good knowledge in Role based File access control, version control. -Strong analytical and problem-solving skills. -Experience in automation test system. Preferred Skills: -Experience with cloud services (AWS, Azure). -Development Experience in Cloud Storage is preferred. Familiar with File system, storage algorithms, and distribute storage architecture. The US base salary range for this full-time position is $179,000-$219,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

* Cloud Infrastructure Management: • Design, implement, and maintain scalable cloud infrastructure solutions across AWS cloud platforms, • Build and maintain high-availability architectures using AWS services for mission-critical applications, • Monitor system performance, troubleshoot issues, and ensure high availability and reliability of cloud services, • Perform root cause analysis for system-level problems and implement preventive measures, • Conduct extensive performance monitoring, troubleshooting, and tuning of cloud infrastructure CI/CD Pipeline Development: • Collaborate with development teams to design and implement robust Continuous Integration/Continuous Deployment (CI/CD) pipelines, • Develop and maintain automated deployment processes to streamline software delivery, • Ensure security and compliance standards are integrated into the CI/CD workflow, • Create and maintain Ansible playbooks for infrastructure automation and configuration management Cross-functional Collaboration: • Partner closely with software developers during new feature development to provide infrastructure support and guidance, • Work with QA teams to set up and maintain testing environments and infrastructure, • Provide technical expertise and DevOps best practices consultation to various teams Infrastructure Automation & Maintenance: • Automate infrastructure provisioning, configuration management, and deployment processes using scripting languages, • Maintain and optimize existing cloud infrastructure to support business growth and scalability requirements, • Implement monitoring, logging, and alerting solutions to ensure system health and performance, • Utilize Docker and Kubernetes for container orchestration and microservices deployment Network & Security: • Apply knowledge of network technologies including Firewall configurations and TCP/IP protocols Ensure secure and compliant infrastructure deployments following industry best practices • Bachelor's or Master's degree in Computer Science or a related technical field, • Hands-on development and operational experience with building and maintaining infrastructure in AWS, • Extensive performance monitoring, troubleshooting, and tuning experience, • Experience with AWS services and hands-on knowledge of hosting on Cloud implementing high-availability architectures, • Experience with scripting languages for DevOps automation, • Experience with programming languages: Python, • Knowledge of Docker & Kubernetes, Ansible Playbook, Jenkins, • Familiarity with network technologies such as Firewall and TCP/IP, • Proficient in Linux/Unix environments The US base salary range for this full-time position is $103,000-$126,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time, as well as a comprehensive leave program. Wage ranges are based on various factors, including the labour market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at the time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 890,000+ customers around the globe.

Responsibilities • Serve as the technical lead and architect for the data serving platform, setting engineering direction and driving execution., • Design and implement platform-level systems that deliver seamless, high-performance data access through interfaces like GraphQL and a semantic data model., • Lead the development of a data fusion layer that integrates across multiple databases and cloud environments., • Build scalable, highly available, and cost-efficient services that support massive cloud customer accounts., • Collaborate with Product and Engineering stakeholders to define functional specifications, architecture, and technical roadmap., • Write, review, and maintain high-quality, production-grade code., • Partner closely with Product Management, Support, Sales, and Customer teams to align technical investments with customer outcomes., • Drive build-vs-buy analysis, make strategic architectural decisions, and champion operational excellence., • Mentor engineers across the team, support career growth, and foster a culture of technical rigor and inclusion., • Actively participate in recruiting, interviewing, and onboarding new engineers., • Bachelor's degree in Computer Science or related field., • 12+ years of experience designing and delivering large-scale, distributed systems., • Proven experience leading teams and delivering mission-critical services in production., • Hands-on expertise with GraphQL, Apache Data Fusion, or Rust (at least one)., • Strong programming experience with Rust, Go, or similar systems languages., • Experience building or operating components like message queues, query processors, task schedulers, or control planes., • Delivered scalable microservices in public cloud environments (AWS, GCP, Azure)., • Experience working in CI/CD environments with a focus on observability and reliability., • Own and operate systems that serve as the backbone of our cloud security products, • Lead one of the most visible and impactful initiatives across the company, • Collaborate with top-tier engineers across platform and product teams, • Shape architecture that supports future growth and innovation Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

Fortinet is looking for an enthusiastic and talented Devops- Director to join our cloud computing DevOps team to work with software developers and other operational specialists to support our FortiCloud services. You will be involved with working in a wide variety of cloud computing technologies in both the development and operational stages. The everyday working environment is Linux servers, containers, Kubernetes, OpenStack, VMware and AWS. Responsibilities: • Develop and implement technical strategy for Private Cloud design, deployment and operation, • Collaborate with leadership to implement long term vision of datacenter, Private Cloud and architecture strategy, • Oversee a breadth of Cloud Services from conception to maintenance, • Manage project resources, timelines, and budgets to deliver productivity and high level of service, • Provide technical guidance in containerization, virtualization and datacenter architecture, • Lead a team of 50 in the HQ, • Minimum of 5 years in leadership role, • Minimum of 5 years of experience in DevOps or cloud infrastructure roles, with at least 3 years focused on Kubernetes., • Proficient in Kubernetes, Docker, docker-compose and container orchestration., • Experience with cloud platforms such as Openstack, VMware, AWS, GCP, or Azure., • Experience with different Kubernetes orchestration tools such as Openshift, Rancher k3s and rke2, EKS etc., • Strong knowledge of configuration management and infrastructure as code (Ansible, Terraform)., • Familiarity with CI/CD tools (Jenkins, GitLab CI, Argo CD)., • Proficient in scripting and programming languages (Python, Bash)., • Experience with monitoring and logging tools (Prometheus, Grafana, ELK Stack, Nagios, Cacti, Zabbix)., • Understanding of networking within Kubernetes (Istio, Calico, Cilium)., • Highly motivated, positive, responsible and able to work in a mission critical on-call environment, • Excellent problem-solving and troubleshooting skills., • Strong communication and collaboration abilities., • Ability to work in a fast-paced, dynamic environment., • Detail-oriented with a focus on continuous improvement., • Experience with Fortinet cloud product, • CKA, CKAD and CKS certificate, • Bachelor degree or above in Computer Science, Computer Technology, or related field.

At Fortinet, we strive to provide a supportive, collaborative environment where people are empowered to do the best work of their careers. Our team members enjoy solving complex problems, and obsess over getting the details right. We love what we do and are proud of our work to secure clouds and container environments for thousands of b2b customers worldwide. Our team is growing, and we are looking for engineers with passion for automation. You will help support the FortiCNAPP platform and play a key role in building, operating, and improving the FortiCNAPP Cloud Security Platform, the world's best real-time cloud-native threat detection system. Our team develops and supports the infrastructure layers spanning our cloud accounts, network/connectivity, workload management, observability, and storage services. We build tooling to perform automated operations in order to scale the FortiCNAPP infrastructure and service. To be successful you will design, define, develop, deploy and operate internal tooling, APIs, and frameworks which streamline our workflows and automate our infrastructure. About this role: As a Principal Site Reliability Engineer at FortiCNAPP, you will lead the design, implementation, and optimization of our highly scalable, resilient, and efficient platform infrastructure. You will drive strategic initiatives to enhance operational excellence, mentor teams, and set the standard for reliability and automation across the organization. Your expertise will shape the future of FortiCNAPP's infrastructure, ensuring it meets the demands of our customers and supports rapid growth. Responsibilities: • Architect and implement advanced automation strategies to maximize operational efficiency and minimize toil across the FortiCNAPP platform., • Lead the design, development, and enhancement of infrastructure systems to ensure world-class scalability, resiliency, and performance., • Proactively identify and resolve complex, systemic issues through innovative automation, tooling, and architectural solutions, preventing customer-facing incidents., • Drive the evolution of monitoring, instrumentation, and observability systems to anticipate and mitigate scalability and reliability risks before they impact customers., • Champion company-wide adoption of reliability best practices, establishing key metrics, SLAs, and milestones to embed scalability and resiliency into all engineering processes., • Collaborate with cross-functional teams to define and implement industry-leading practices for infrastructure, deployment, and operational workflows., • Provide technical leadership and mentorship to engineering and operations teams, fostering a culture of reliability, automation, and continuous improvement., • Lead incident response and post-mortem processes, driving root cause analysis and implementing preventive measures., • Participate in an on-call rotation, serving as an escalation point for complex issues and guiding the team through critical incidents., • 10+ years of DevOps/SRE experience, with at least 5 years in a senior or lead role managing production systems at scale., • Expert-level development and automation skills, with a proven track record of building sophisticated tools and workflows., • Deep expertise in Infrastructure as Code (e.g., Terraform) and supporting tools (e.g., Atlantis, ArgoCD, Flux)., • Advanced experience with Kubernetes and its ecosystem (e.g., Helm, operators, Kustomize), including managing large-scale, production-grade clusters., • Extensive experience with multiple cloud providers and managed services (e.g., AWS: EKS, EC2, S3, RDS, Secrets Manager; GCP, Azure)., • Proven ability to architect and operate highly reliable, fault-tolerant cloud infrastructure that supports rapid microservice deployment with robust monitoring and high availability., • Exceptional cross-team communication and leadership skills, with experience driving alignment across engineering, product, and operations teams., • Deep knowledge of large-scale system building blocks, including load balancing, distributed/cloud computing, container orchestration, and advanced monitoring/observability., • Expert understanding of cloud networking, including VPC configuration, cross-cloud connectivity, and hybrid cloud architectures., • Extensive experience designing and implementing advanced monitoring and observability systems (e.g., Prometheus, Grafana, New Relic, Datadog, OpenTelemetry)., • Strong advocate for "everything as code" principles, with experience institutionalizing IaC and GitOps practices across teams., • Deep expertise in Java application servers, JVM tuning, and performance optimization for high-throughput systems. • Bachelor or Masters degree in Computer Science, Computer Engineering or related fields. The US base salary range for this full-time position is $202,000-$247,000. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location. All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion. Why Join Us: We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

The Cisco Security AI team delivers AI products and platform for all Cisco secure products and portfolios so businesses around the world defend against threats and safeguard the most vital aspects of your business with security resilience. We are passionate about making businesses secure and simplify security with zero compromise using AI and Machine Learning. We are looking for a highly skilled Senior Software Engineer to assume a leadership role in developing and maintaining APIs for our AI platform. As a Senior Software Engineer, you will collaborate closely with disparate teams, providing technical expertise, and leading initiatives to enhance our AI platform's capabilities. Your deep understanding of Kubernetes architecture, cloud infrastructure, and your passion for AI and machine learning will be instrumental in guiding our team to success. Technical Leadership: Provide technical leadership by guiding and mentoring a team of Software Engineers, driving technical excellence in API development and cloud deployment. API Development: Design, develop, and maintain APIs that expose AI capabilities to various teams, ensuring scalability, reliability, and ease of use. AI Integration: Collaborate with data scientists and AI engineers to seamlessly integrate AI models and algorithms into the platform, making them accessible through the APIs. Kubernetes Expertise: Leverage your experience with Kubernetes to architect and optimize deployment and orchestration of AI services in containerized environments. Cloud Infrastructure Deployment: Lead the deployment and management of AI services on cloud platforms such as AWS, Google Cloud, and Azure for scalability, security, and cost optimization. Performance Optimization: Identify and resolve performance bottlenecks in the AI platform, optimizing response times and resource utilization. Monitoring and Logging: Implement robust monitoring and logging solutions to track the performance and health of deployed AI services, enabling issue resolution. Security Compliance: Ensure that AI services and APIs meet security and compliance standards, collaborating closely with security teams to implement necessary measures. Documentation: Build clear and comprehensive documentation for APIs, deployment processes enabling teams to use the platform effectively. • 5+ years' experience as a Senior Software Engineer with a strong background in building SaaS services at scale with API first design and demonstrated technical leadership skills., • 5+ year's experience writing code in Python, Java, Go and/or C/C++., • BA / BS degree with 4+ years of experience (or) MS degree with 2+ years of experience as a software development engineer., • Familiarity with AI and machine learning concepts and the ability to collaborate effectively with data scientists and AI engineers., • Experience with Docker platform delivery tool or similar., • Experience developing distributed systems and implementing them using Kafka, Redis or similar., • Experience developing cloud infrastructure services such as AWS, Google Cloud and/or Azure., • Experience using Kubernetes architecture.

MatriScope Engineering Laboratories, Inc. (MatriScope) is a leader in providing professional services in the disciplines of Geotechnical and Environmental Engineering, Materials Testing, and Special Inspection Services. Over the past 20 years, MatriScope has built a strong reputation throughout Northern and Central California for providing exceptional service through a proactive project management approach, innovative practices and a commitment to maintaining its traditional values. MatriScope is headquartered in Sacramento, CA with additional offices in the Bay Area. MatriScope has many long-term assignments, including prevailing wage projects, for the right candidates who have a proven track-record, strong work-ethic, and desire to participate as a team player. MatriScope offers competitive salary and benefit package. POSITION OVERVIEW: We are seeking Construction Inspectors that have the drive and integrity to work with clients and vendors. Previous inspection experience is needed in this role. PRIMARY POSITION RESPONSIBILITIES: Perform as an entry to lead inspector on various projects responsible for the inspection and documentation of construction in the areas of building code compliance, concrete, pre-stress concrete, shotcrete, masonry, steel, fireproofing, waterproofing, and roofing. Ability to properly interpret construction documents and prepare well-written and concise reports capturing all necessary elements is required. • Must be able to properly follow directions, perform in a responsible manner with minimal oversight., • Provide daily reports of observation and test results, • Monitor work procedures for compliance with project specifications, • Interact with client representative (supervisors, foremen, project managers, engineers, etc.) at project sites, • Perform analysis or calculations to check accuracy, applicability and reasonableness of testing data REQUIREMENTS: • Entry or senior level Special Inspector with current certifications by the International Code Council, American Welding Society, and American Concrete Institute., • One (1) year of Special Inspector field experience., • Ability to read and comprehend basic plans and specifications., • Strong written and verbal communication skills and the ability to work with a team., • Reliability – must be able to arrive at designated project sites prior to scheduled times, • Ability to prepare report s and documentation., • Proficient computer skills required., • Ability and willingness to travel and work at construction sites., • Ability to lift up to 50 pounds, • Ability to walk on uneven ground and work in variable outside conditions., • Must be able to work various shifts depending upon construction schedules, • Must have a satisfactory driving record in accordance with the Company's driving (MVR) policy., • Comply with the Company’s auto insurance policy and must have a valid CA drive license. CERTIFICATIONS NEEDED (Must Have 2 or More Certification): • ICC Pre-Stressed Concrete, • ICC Reinforced Concrete, • ICC Masonry, • ICC Structural Steel & Welding, • ICC Soils, • AWS CWI, • ASNT UT / MT Level II, • ACI Grade I PROJECT LOCATIONS: • San Francisco / Peninsula, • San Jose & Surrounding Areas, • Livermore, • Sacramento

Job Title: Data Engineer (API & Database Focus) Duration: 5+ Months Location: Fully Remote Role Summary: The client is seeking an experienced and highly skilled Contract Data Engineer. This role is focused on building robust data pipelines, primarily involving the integration of data from various APIs and managing critical data infrastructure. The successful candidate will work hands-on with Databricks, Snowflake, and/or relational databases, ensuring data is clean, reliable, and optimized for consumption by analytics tools like Tableau. This is a project-based contract position requiring someone who can quickly integrate and deliver results. Key Responsibilities: • Design, develop, and maintain scalable data ingestion pipelines to extract data from various third-party and internal APIs (REST, SOAP, etc.)., • Implement efficient data transformation and loading processes (ETL/ELT) within the data platform., • Manage and optimize data storage and schemas in Snowflake and Postgres databases., • Utilize Databricks for data processing, transformation, and orchestration tasks., • Ensure data quality, accuracy, and integrity throughout the data pipelines., • Collaborate with data analysts and BI developers (particularly Tableau users) to understand data requirements and optimize data models for performance., • Monitor data pipelines and systems for performance issues, errors, and data discrepancies, implementing necessary fixes and improvements., • Develop and maintain technical documentation for data pipelines, processes, and data models., • Troubleshoot data-related issues and provide timely resolutions., • Proven experience as a Data Engineer, with a strong focus on API integration and database management., • Experience building data pipelines for API data ingestion, including handling authentication, error handling, and data parsing., • Strong proficiency in SQL and experience with database design, query optimization, and performance tuning in relational databases (e.g., Postgres)., • Hands-on experience with Snowflake as a cloud data warehouse, including data loading, querying, and performance optimization., • Experience using Databricks for data processing, ETL/ELT, and pipeline orchestration (e.g., PySpark, notebooks)., • Proficiency in a programming language commonly used for data engineering (e.g., Python)., • Experience working with cloud platforms (e.g., AWS, Azure, GCP) where Snowflake and Databricks are deployed., • Understanding of data warehousing concepts and best practices., • Experience supporting BI tools (like Tableau) by providing clean, structured, and performant data sources., • Excellent problem-solving skills and ability to work independently in a fast-paced environment., • Experience with specific ETL/orchestration tools (e.g., Airflow, Fivetran, dbt)., • Familiarity with containerization technologies (e.g., Docker)., • Experience in a contract or consulting role., • Knowledge of data governance and compliance standards., • Experience with BI tools like Tableau, including dashboard creation or assisting BI developers with visualization best practices related to data structure.

In our ‘always on’ world, we believe it’s essential to have a genuine connection with the work you do. RUCKUS Networks builds and delivers purpose-driven networks that perform in the tough, unique environments of the industries we serve. Join RUCKUS Networks and help shape the future of cloud infrastructure. How You'll Help Us Connect the World: We’re looking for a hands-on Devops Architect to lead technical strategy and drive transformation across our global SRE and DevOps operations. This is a senior individual contributor role where you’ll set the architectural vision, guide implementation, and influence technology decisions for our cloud platform—including Ruckus One—serving millions of users worldwide. As a key member of our engineering leadership team, you’ll move us from manual operations to automated, intelligent workflows. You’ll balance strategic architecture with hands-on coding (40–50%), working on multi-tenant GCP infrastructure, Kubernetes optimization, disaster recovery, automation frameworks, and compliance solutions. • Define and enforce architectural standards across our cloud product portfolio., • Lead technology evaluations and vendor selections with clear technical recommendations., • Create Architectural Decision Records (ADRs) for major initiatives., • Provide hands-on technical guidance to engineering teams on implementation patterns., • Drive cross-product technical alignment and establish common standards., • Own the technical roadmap for cloud infrastructure and automation., • Architect solutions for multi-region HA, disaster recovery, and infrastructure-as-code., • Design automation frameworks to eliminate manual processes and reduce operational toil., • Build observability solutions using Prometheus, Grafana, ELK, and GCP tools., • Write production-grade code in Python, Bash, and Go for automation and tooling., • Develop Terraform modules and IaC patterns for enterprise-scale deployments. Required Qualifications: • 10+ years in infrastructure/platform engineering with large-scale production environments., • Expert-level experience in GCP/AWS, multi-region architectures, GKE optimization, networking, and security., • Deep Kubernetes expertise in production environments., • Advanced Terraform development and IaC best practices., • Strong coding skills in Python, Bash, and/or Go., • Linux systems expertise across multiple distributions., • Proven ability to create technical documentation and ADRs. You’ll excite us if you have: • Multi-cloud experience (AWS/Azure), • Compliance frameworks (SOC2, ISO 27001, FedRAMP), • Cost optimization achievements, • SRE/DevOps transformation leadership, • Observability platform expertise, • Disaster recovery design and implementation, • GitOps and CI/CD pipeline expertise (Jenkins, GitLab, ArgoCD) #LI-RB1 #LI-HYBRID Our salary ranges consider a wide variety of factors, including but not limited to benchmarking by independent third-party consultants, skill sets, years of experience, training, education, geography, and other business needs. Depending on experience, the range can be higher for candidates with exceptional experience and a demonstrated history of successful performance. This position's expected total compensation (base salary) is $135,600.00-$200,000.00 The candidate will be rewarded with a comprehensive benefits package, including medical, dental, and vision plans, life and accidental death insurance, a 401(k) plan, and participation in the Company’s Incentive Plan. Candidates starting with the Company will be eligible for eleven paid holidays in a full calendar year, two weeks of paid vacation (prorated based on start date), as well as other leave options. What Happens After You Apply: Learn how to prepare yourself for the next steps in our hiring process by visiting ___ Why Join Us? Vistance Networks shapes the future of communications technology, pushing past what is possible. We deliver solutions that bring reliability and performance to a world always in motion. Our global team of innovators and employees are trusted advisors who listen to customers first, then deliver value. RUCKUS Networks delivers purpose-driven enterprise networks that enable superior business outcomes in demanding environments. Our solutions combine AI-powered automation, proactive network assurance, and context-aware security, providing exceptional performance with simplified management. If you want to grow your career alongside bright, passionate, and caring people who strive to create what's next…..come connect to your future at Vistance Networks. Vistance Networks is an Equal Opportunity Employer (EEO), including people with disabilities and veterans.