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Job DescriptionAircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in As a Senior Security Engineer, Detection and Response you will contribute to develop, scale, and evolve Aircall’s threat detection and response capabilities. Take ownership of building detections from scratch, leading investigations, and driving the maturity of our detection program.Responsibilities • Lead end-to-end development of detection logic: from threat modeling and hypothesis to writing, testing, tuning, and deploying detection rules and alerts (across logs, telemetry, host, network, cloud)., • Build detection pipelines, orchestration, triage logic, and automation for alert handling and response (e.g. SOAR, playbooks)., • Conduct threat hunts proactively in corporate and production environments, discovering anomalies and attacker behaviors before they escalate., • Lead incident response: investigate, contain, remediate, and perform root cause analysis. Drive post-incident reviews and feed lessons learned back into detection strategy., • Assess and fill gaps in visibility—work with engineering teams to ensure logging, instrumentation, and context are sufficient to detect relevant threats., • Evolve detection maturity: turn simple signature-based alerts into more advanced behavioral, statistical, ML-driven, and adversary-informed detections, in line with detection engineering maturity models., • Author and maintain detection documentation, runbooks, alert definitions, tuning guidelines, and metrics., • Collaborate cross-functionally (Engineering, Product, Fraud, Privacy and Legal) to align detection and response work with product lifecycles and system architecture., • Be part of on-call rotations or threat-response rotations; escalate, coordinate, and remove blockers during high-severity events., • Stay up to date on attacker techniques (MITRE ATT&CK, red team reports, threat intel) and propose new detection patterns or responses accordingly., • Participate in hiring, interview evaluation of Security and Infrastructure engineering candidates, and team growth.Minimum Qualifications, • 5+ years of hands-on experience in security operations, detection engineering, incident response, threat hunting, or similar fields (or equivalent combination)., • Deep knowledge of adversarial tactics, techniques, and procedures (TTPs), threat actor behavior, kill-chain or MITRE ATT&CK framework., • Proven experience building detections from scratch (versus just tuning commercial alerts)—i.e. you can turn a hypothesis or a threat intel indicator into a production-quality detection with low false positive rate., • Hands-on experience with SIEM or log analytics platforms (e.g. Elasticsearch, Splunk, Datadog, AWS Athena, OpenSearch or equivalent), and alerting/monitoring tooling., • Proficiency with a programming or scripting language (e.g. Python, Go, or similar along with IaC - Terraform, Ansible) to build detection pipelines, automations, triage logic, or tooling, • Experience in digital forensics, host-based detection, endpoint telemetry, process/network visibility, cloud observability (logs, metrics, traces)., • Comfortable working in cloud-first environments (AWS, GCP, Azure) and instrumenting detection across cloud workloads, containers, serverless, etc., • Experience responding to incidents (investigating logs, creating timelines, root cause, containment) in production environments., • Familiarity with security automation / orchestration (SOAR), playbooks, response automation, and alert triage workflows., • Strong communication skills; ability to translate complex detection logic, trade-offs and risk to engineers and leadership., • High degree of autonomy, initiative, and ownership; ability to drive entire initiatives with minimal oversight.Preferred Qualifications, • Experience with data analysis, statistics, anomaly detection, or relevant ML/heuristic techniques is a strong plus., • Experience evaluating detection efficacy (precision, recall, signal-to-noise, tuning over time), • Experience evolving detection maturity models (from basic rules to advanced behavioral detections)

Job Description About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We're looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere. About the role We are seeking a highly skilled AI Ops Engineer to join our DevOps/SRE/Operations team. In this role, you will be responsible for designing, developing, and implementing AI-driven solutions to optimize IT operations. You will apply machine learning and data analytics to monitor, detect, and resolve operational issues proactively, driving automation and improving system reliability and performance. Location. This role is office-based at our Bellevue, Washington office. What You'll Do (Key Responsibilities) • Develop and implement AI/ML models to monitor infrastructure and application performance., • Integrate observability tools (e.g., Prometheus, Grafana, Datadog) with AI models to enable real-time insights and predictive analytics., • Automate anomaly detection, root cause analysis, and incident resolution workflows., • Collaborate with SRE, DevOps, and IT operations teams to integrate AI capabilities into existing pipelines., • Analyze logs, metrics, traces, and events to derive actionable intelligence for system improvements., • Build and maintain data pipelines for ingesting operational data into AI models., • Ensure high availability, scalability, and performance of AI-driven systems., • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field., • 3+ years of experience in DevOps, Site Reliability Engineering, or IT operations., • Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)., • Strong knowledge of cloud platforms (AWS, GCP, Azure)., • Proficient in Python, Shell, or another scripting language., • Experience with monitoring/logging tools (e.g., ELK stack, Splunk, New Relic)., • Experience with AIOps platforms (e.g., Moogsoft, BigPanda, Dynatrace, IBM Watson AIOps)., • Understanding of MLOps best practices., • Knowledge of container orchestration tools (e.g., Kubernetes, Docker). For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits • Competitive base salary and equity, • Medical, dental, and vision (subsidized cost), • Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA), • Retirement plan options, including 401(k) and Roth 401(k), • Unlimited paid time off (PTO), • 15 paid company holidays per year #LI-AB1 #LI-Onsite Compensation$128,000—$160,000 USD You're a Great Fit if You're • A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge, • A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude, • Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company, • A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda, • Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career Protect AI is seeking software development engineer (SDE) to join our growing Engineering team. Our engineering team builds and operates ‘Protect AI Platform’ covering everything from AI supply chain security and ML Model Scanning to LLM Security. You will work closely with fellow Software Engineers who bring a variety of skillset to the table including Backend, Frontend, Infra, ML and Security Engineering. You will also get opportunity to work closely with Product Managers, Architects and our CTO. This role is located at our Seattle office and in office 3 days a week. This is not a remote role. Your Impact • Build and operate Cloud Native infrastructure, • Design and develop innovative products end to end taking ownership of DevSecOps, • Collaborate across functions (Product Managers and Engineers) to understand requirements and develop solutions, • Act as a technical leader and mentor junior team members, • Continuously improve the software development process, including testing, deployment, and monitoringQualifications Your Experience • Significant experience (4+ years) building and maintaining software systems on Cloud and Kubernetes based infrastructure., • Significant experience working with containers and Kubernetes, CI/CD pipelines and DevSecOps best practices., • Significant expertise in IaC tools (Terraform, CDK/CloudFormation)., • Expertise in modern Python (type hints, Pydantic, ..) and at least one strongly typed programming language (Go, Java, Python, C++)., • Experience building Kubernetes Operators to automate operational tasks would be a plus., • Strong communication and problem solving skills., • ML/MLOps experience would be a plus., • Excited about working in an agile and fast paced environment. Additional Information Team Our team is at the forefront of AI security, building platforms that act as a secure gateway for machine learning pipelines. We specialize in developing advanced model scanners and policy enforcers that integrate seamlessly with modern ML workflows to identify and mitigate threats. Our work focuses on providing security AI ecosystems to protect against real-world threats like vulnerabilities embedded in ML models , model tampering, and data exfiltration. Through these efforts, our team secures the entire AI lifecycle from end to end. If you are excited by the challenge of defending against model tampering, AI forensics, and malicious code at runtime, and want to help define the standards for AI safety and security, we encourage you to apply. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $147000 - $180,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Job Description Zone IT Solutions is seeking a skilled Azure Engineer to join our dynamic team. The successful candidate will be instrumental in designing, deploying, and managing Azure cloud solutions tailored to meet our clients' needs. This position offers an exciting opportunity to work with cutting-edge technologies and collaborate with a talented team. Requirements • Minimum 3 years of experience in Azure cloud environments, • Proficient in Azure services including Compute, Storage, Networking, and Security, • Experience with Azure DevOps and CI/CD pipelines, • Strong scripting skills in PowerShell, Azure CLI, or Python, • Familiarity with Azure Active Directory and identity management, • Knowledge of network configurations and virtual networks in Azure, • Experience with monitoring and optimizing Azure resources, • Relevant Azure certifications (e.g., Azure Solutions Architect, Azure Administrator) are preferred About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at . Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Job DescriptionSTAFF ELECTRICAL TEST ENGINEER IN THE GREATER SEATTLE AREA At Andrews Cooper, we specialize in delivering cutting-edge engineering solutions in the HardTech space, partnering with industry leaders in Consumer Technology, Medical Technology, Clean Technology, and Automation & Robotics. With a mission to solve novel, ambiguous challenges, we help our customers achieve significant differentiation and success in their industries. Our people-first culture is built on the core values of Own It, Help Each Other Win, and Be Cool, creating an environment where engineers can build fulfilling careers while delivering exceptional work. The Core Values we embody: • Help Each Other Win—AC values winning as a team over personal recognition. Go out of your way to help a teammate and the team succeed., • Own It—Don’t wait for someone else to clear the way. Recognize opportunities to improve, and when obstacles arise, join forces to overcome them., • Be Cool—Be self-aware, maintain a positive attitude, prioritize emotional intelligence, and maintain composure under pressure.If you’re passionate about solving complex engineering problems, collaborating with forward-thinking teams, and making an impact in the world of Hardware Technology, Andrews Cooper is the place for you. BASIC QUALIFICATIONS: • B.S. in Electrical Engineering from an accredited university or equivalent experience in a related field. MSEE is a plus., • 5+ years of professional hands-on experience in Electrical Engineering., • Strong understanding of both digital and analog design including test methods., • Experience with writing test scripts using Python., • Experience with testing batteries and battery management systems., • Experience with testing microcontrollers and programmable logic devices., • Experience using lab equipment like oscilloscopes, DMM’s, programmable power supplies, etc., • Experience in board bring-up, system bring-up and validation., • Up to 20% of travel may be required between locations., • Ability to travel for work-related purposes as needed; access to reliable transportation is required due to the nature of our business and multiple client sites., • Must be legally authorized to work in the U.S. without sponsorship., • Background checks are required.PREFERRED QUALIFICATIONS:, • Familiar with CAD tools like Altium, OrCAD, and Allegro., • Knowledge of high and low speed busses such as I2C, SPI, I3C, PCIe, USB, DSI, CSI., • Experience with design or testing of SoC, cameras, and sensors., • Experience with embedded systems., • Experience with Root Cause Analysis (RCA)., • Experience with design of experiments (DOE)., • Experience with Failure Modes Effects Analysis (FMEA).RESPONSIBILITIES:, • This position works in a lab environment on new innovative products for the consumer electronics space., • You will work in a fast-paced environment with evolving requirements., • Someone who loves to be hands-on with an analytical and inquisitive mind would work well in this position., • Medical, dental, life, and disability insurance; health savings accounts (HSA), flexible spending accounts (FSA), employee assistance programs (EAP), and dependent savings accounts (DSA)., • Paid leave for maternity and paternity for birth or adoption., • Generous PTO for vacation, sick, community service, and 8 paid holidays., • In-office snacks, coffee, and sponsored lunches., • 401k retirement plan with 3% employer contribution. Powered by JazzHR KSOq38QQoM

Job Description As a Forward Deployed Engineer (FDE), you’ll be the bridge between product/engineering and customers. You will embed deeply with users, translate real-world use cases into technical solutions, and ship production-grade systems powered by AI. You’ll own deployment complexity, influence product direction, and drive high-impact customer-facing work. Responsibilities • Partner with customers to scope, design, and deploy AI systems that address real business needs., • Build and integrate production-ready AI applications with customer infrastructure., • Develop and deliver compelling demos and prototypes that showcase the capabilities of our AI system., • Ensure reliability, safety, and performance of deployed AI agents in production environments., • Strong full-stack development skills (Python, JavaScript, or similar), • Customer-facing or client delivery experience, • Proven ability to thrive in startup-style, resource-constrained environments, • Fast learner who adapts quickly to new technologies and shifting requirements, • High ownership mindset; ability to work independently and drive projects to completion, • Excellent communication with both technical and non-technical stakeholdersPreferred, • Experience deploying LLMs or other generative AI systems, • Background in NLP, computer vision, or multi-agent systems, • Sales or pre-sales engineering experience in high-growth environments

Job DescriptionSchmidt Ocean Institute (SOI) was founded by Eric and Wendy Schmidt in 2009 with a goal to advance the frontiers of ocean exploration and research through technological advancement, intelligent observation, and open sharing of information. This is achieved by making ship time and associated assets freely available to scientists globally. In exchange, SOI supports public sharing of acquired scientific observations, data, and other information about the ocean to stimulate the growth of data applications and user community and to amplify and enable further exploration, discovery, deeper understanding, and effective conservation and management of our environment. Job Posting: Mechanical Engineer (Intermediate)Robotics and Engineering DepartmentExpected Start Date: June 2025 Position OverviewThe Schmidt Ocean Institute (SOI) Mechanical Engineer is a member of the Robotics and Engineering Department within SOI’s Maritime Infrastructure Division. The Mechanical Engineer supports the Department and the Division responsibilities to operate and advance the development of the Institute’s in-water robotic systems and other equipment and systems used to support ocean science from the Institute’s 110 meter research vessel Falkor (too). They manage multiple projects, working closely with SOI’s shoreside engineering staff, the ship’s technical crew members, and visiting scientists. The engineer reports to the Engineering Senior Manager. This position will be based at SOI’s Woodinville Office.Responsibilities and Duties: • Provide technical support for the operation and maintenance of SOI-owned robotic vehicles, in collaboration with the vessel’s technical crew, troubleshooting as needed., • Provide technical support for the operation and maintenance of ship-based launch and recovery systems, including overhauls and upgrades, in collaboration with the vessel’s technical crew, troubleshooting as needed., • Responsible for the integration of visiting scientists’ sensors and sampling equipment onto robotic vehicles., • Support the development and implementation of new marine robotic systems and equipment onto the ship., • Assist with research, development, and upgrades to new and existing robotic systems components including, but not limited to, junction boxes, sampling boxes, pressure housings, umbilicals/cables, winches, and docking heads., • Conduct engineering analysis in support of at-sea operations, and equipment development including, finite element analysis (FEA), weight and balance optimization, and fabrication feasibility., • Design of complex assemblies using 3D modeling using Solidworks., • Assist with and participate in Factory Acceptance Trials, Harbor Acceptance Trials, Sea Acceptance Trials, Science Verification Cruises, and robotic instrument maintenance and test cruises as needed., • Attend dockside and shipyard repair, upgrade and integration projects up to several weeks at a time., • Develop, maintain, and ensure documentation and plans regarding operations of robotic equipment and systems are up-to-date and accurate., • Participate and engage the ocean science and engineering community, including but not limited to, international initiatives such as the Scientific Ocean Vehicle Alliance (SOVA).Other:, • Must be willing to travel internationally, occasionally for weeks at a time., • Must be willing to work flexible times due to the schedule of the vessel., • Frequent travel to the ship in various locations.Required Qualifications and Skills, • Bachelor’s degree in mechanical engineering with related experience or mechanical technician with 10+ years of related experience., • Extensive knowledge and experience in 3D modeling using Solidworks., • Experience designing complex assemblies, conducting engineering reviews, stress analysis (including FEAs), managing fabricators/machinists, and implementing and testing new designs., • Electromechanical experience., • Excellent communication skills, with experience communicating complex technical concepts to a variety of audiences., • Demonstrated hands-on experience., • Capable of managing multiple projects and tasks simultaneously., • Independent self-starter., • Excellent time-management skills.Desired Qualifications, • Ocean engineering knowledge, specically with equipment and operations in the deep ocean >1000 meters., • Offshore operational experience, preferably with ocean science vehicles (ROVs, AUVs)., • Troubleshooting of mechanical systems in the eld., • Knowledge of materials used in corrosive environments., • Experience with large machinery (e.g. cranes, winches, A-frames, hydraulic systems), • Software programming experience, such as Python and Linux., • Project management skills.Schmidt Ocean Institute is an equal opportunity employer and we strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. We believe that diversity brings about greater results on all levels and we aim to use our resources to generate greater impact through our work. Candidates who contribute to this diversity are strongly encouraged to apply.

Job Description Role: Mid - Senior Cloud Infrastructure Engineer preferably with specialization in Amazon RDS, Postgresql, Linux Administration Location 1: Seattle, WA (1 role) Location 2: India (3 roles) Work from home is a possibility to start wit for both locations Duration: 6 Months (Client might offer fulltime after 6 Months) Rates: DOE Job Description: Day to Day Responsibilities: · Architecting the deployment of Windows and Linux environments in AWS, Azure and VMware (including VMware Cloud) · Design Operating systems (Red Hat Linux and Windows) deployments and automation · Work as part of a small architecture group within Infrastructure to review existing design and operation methodologies and take them and evolve them into a modern and sustainable architecture with full automation · Cross train other Infrastructure and Cloud teams on the new architecture and automation to hand off the daily operations of the infrastructure and tooling · Integrate to our automation team to work the automation projects that are identified with their agile methodologies · Work to assess the daily operations of the infrastructure teams and look for opportunities to automate repetative processes · Work on automating the daily operations including maintenance, provisioning, decommissioning etc • Work on maintaining an Infrastructure CMDB in our ServiceNow system Required Skills: • Strong understanding of troubleshooting methodologies, • Strong automation skills, preferably with SaltStack and related technologies (Python, Terraform etc.), • In-depth knowledge of Windows and Linux operating systems, • Experience provisioning environments in both public and private clouds – AWS, Azure, and VMware (Including VMware Cloud in AWS preferred), • Strong understanding of Windows domain services (including Active Directory, DNS etc) and LDAP technologies as well as other IAM best practices, • Strong understanding of cloud architecture processes and designs, • Strong understanding of ITILv3 processes

AWS EC2 owns the design, planning, delivery, and operation of all AWS server instances. In other words, we’re the people who keep the cloud running. We support all AWS compute, storage, accelerator servers and ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of hardware engineers, software engineers, system engineers, technical program managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities AWS hardware Engineering is looking for a customer-obsessed, team-driven technology leader to take our engineering of server hardware and software to the next level. As a cloud server performance engineer, you’ll work on Amazon’s hardest problems, building high quality, architecturally sound systems that meet or exceed the high performance bar, with focus on high speed interconnects, including PCIe. You will interact with internal and external interdisciplinary teams of engineers to design, develop, validate, launch, monitor and troubleshoot high throughput interfaces at scale. You will be on the team that is responsible for PCIe topology for the EC2 servers, including retimer and switch firmware and telemetry. This is a fast-paced, intellectually challenging position. At AWS we are changing the industry and want individuals who are ready for a challenge to reach beyond what is possible today. About the team " Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.“ BASIC QUALIFICATIONS- 5+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience • 5+ years of non-internship professional software development experience, • 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience, • 5+ years of systems design, software development, operations, automation, and process improvement experience, • 5+ years of experience identifying & root-causing hardware/software system issues in large scale systems, • 5+ years of experience writing and implementing functional and performance tests for manufacturing and in field coverage, including telemetry, • Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers, • Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy, • Experience communicating to senior management and customers verbally and in writing, • 5+ years of experience with high speed interconnect, including PCIe, • 5+ years of experience with CPU and memory architectures, system performance, security and troubleshooting, • 5+ years experience with statistical analysis using large scale data Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

A fintech company based in Seattle is seeking a Senior Software Engineer to lead the design and development of backend systems.This role requires strong proficiency in programming languages such as Go, Java, or Python, and experience in building scalable microservices architectures.You will mentor j

A leading financial technology company is seeking a Machine Learning Engineer for their Foundation Model team. The role offers flexibility for remote work and requires 5+ years of experience in machine learning, strong Python skills, and a passion for innovative technology.

A leading AI company is seeking an experienced IT Engineer to design and implement secure IT infrastructure while mentoring engineers and driving automation. The successful candidate will have over 8 years of experience in building IT systems and strong proficiency in Python and cloud platforms. Thi

Sepal AI builds the world’s hardest tests for AI grounded in real-world software systems. We’re hiring a Data Engineer with 3+ years of experience and a strong systems mindset to help us build evaluation environments for AI in high-throughput log analysis contexts.\n\n🧠 What You’ll Do\n - Design and implement analytical schemas and pipelines using tools like BigQuery, ClickHouse, Snowflake, Redshift, and other high-performance columnar databases.\n - Work on complex, distributed queries over massive log and telemetry datasets.\n - Create and manage synthetic datasets that simulate real-world DevOps, observability, or cloud infrastructure logs.\n - Tune and optimize distributed query execution plans to avoid timeouts and reduce over-scanning.\n\n✅ Who You Are\n - 3+ years of experience in data engineering or backend systems roles.\n - Deep expertise in analytical databases and OLAP engines with a focus on large-scale query optimization, schema design, and performance tuning.\n - Hands-on with log ingestion pipelines (e.g., FluentBit, Logstash, Vector) and schema design for observability systems.\n - Strong SQL skills: you know how to reason through performance problems and spot inefficient query patterns.\n - Bonus: Experience with Python, Docker, or synthetic data generation.\n\n💸 Pay\n$50 - 85/hr depending on experience\nRemote, flexible hours\nProject timeline: 5-6 weeks

Principal Cloud DevOps Engineer, Data Pipeline. Join to apply for the Principal Cloud DevOps Engineer, Data Pipeline role at Oracle. Design, build, and maintain CI/CD pipelines for R and Python applications using OCI DevOps, Git‑based workflows, and Artifact Registry.

Job DescriptionIf this role is still posted then we are still recruiting and needing applications.Job Title:& Senior Cloud Infrastructure EngineerLocation:& San Francisco, CA. Remote unavailable.Modality: On-Site only. & & & & & & & & & Must live within commuting distance of San Francisco or be willing to relocate.Relocation Assistance: NoEmployment Type:& Salaried W2 Full-Time.Salary Range: $175,000 - $250,000& About the company We represent a pioneering open source technology company in San Francisco that is transforming the way creators interact with generative AI. They are the team behind a powerful, node based visual interface that gives artists, developers, and innovators the ability to design, control, and customize AI workflows with complete flexibility. Their platform allows users to connect modular components, build complex pipelines, and run everything locally with impressive speed and precision. Their mission is to make generative AI open, transparent, and accessible to everyone. Built around community collaboration and creative empowerment, their tools help users experiment freely and bring their ideas to life. Whether it is visual storytelling, image generation, or advanced machine learning, their technology gives creators the freedom to explore without limitations. & About the Role In this role, you will take the lead on designing, deploying, and maintaining large-scale distributed systems that power AI workloads. The ideal candidate is deeply technical, self-sufficient, and motivated by solving complex infrastructure challenges. You will work closely with core engineers to shape the company’s long-term infrastructure vision while ensuring scalability, performance, and reliability across environments. & What You’ll Do * Design, build, and maintain the core infrastructure that powers AI workloads at scale * Manage and automate GPU compute clusters using tools such as Python, Kubernetes, Terraform, and Ansible * Architect and operate systems for orchestration, observability, distributed storage, and networking * Ensure reliability, scalability, and performance across production environments * Collaborate closely with core engineers to design infrastructure for new features and systems * Contribute to technical strategy and long-term infrastructure vision * Drive best practices for infrastructure automation, deployment, and monitoring & Requirements * 5+ years experience as an Infrastructure Engineer or Site Reliability Engineer building and operating large-scale distributed systems * Skilled in Python and comfortable working with infrastructure-as-code tools such as Terraform and Ansible * Familiar with container orchestration systems such as Kubernetes and related tooling like FluxCD, Prometheus, and Grafana * Capable of managing high-performance GPU environments across cloud and bare metal setups * Highly adaptable, resourceful, and motivated by building things from the ground up * Excited to work in a small, fast-growing team where autonomy and accountability are key * Comfortable working on-site in a startup setting where collaboration and speed matter most & Bonus Points * Experience contributing to or maintaining open-source projects * Background working with AI infrastructure, ML pipelines, or GPU orchestration * Strong computer science fundamentals and ability to work across different programming languages or frameworks

Job Description About Us: Gable.ai is a Seattle-based startup revolutionizing the data industry. Through our data communication, change management, and collaboration platform, we empower developers to build and manage data assets, bridging the gap between data producers and consumers to upscale data quality. Fresh out of stealth mode and backed by prominent venture partners, our mission is to reshape data management by fostering collaboration and innovation. Join us in transforming the landscape of the data industry! Responsibilities: As a Staff Software Engineer, your primary responsibilities will be to own design and delivery of full stack product features. A key component of your work will be to scope out and build the best-possible data solutions to green-field problems at scale. This includes working directly with customers to define the problem, shortlisting tools and technologies, implementing and validating production grade software, evaluation, and deployment. You'll build key product features with direct impact on company success. You'll work closely with customers to understand their problems and requirements. You'll focus on generalizing your work and building abstractions that improve a variety of integration with common data stack oriented technologies. Requirements • You have minimum 8 years of writing production grade software, ideally with experience at a B2B SaaS company, • Experience with a modern object-oriented language such as Python, Go and Java, • Strong experience with React and have led Frontend projects, • You’re excited about being cross-functional and owning the lifecycle of building novel solutions to complex problems — from development to deployment., • You stay up-to-date with the latest developments in your area of interest in both software development and the data space. You’re comfortable reading technical papers and documentation, and reproducing the results in a production environment., • You’ve previously worked with a variety of backend technologies, including Infrastructure as Code (Terraform/Pulumi), relational databases and NoSQL databases, and modern API frameworks., • You’re really excited about solving the biggest challenges in the modern data stack and building applications that leverage these technologies for solving complex data problems., • You enjoy fast-paced environments and exhibit a high degree of ownership and self-sufficiency. Unstructured environments are exciting to you because they represent opportunities for growth and leadership. Tech Stack: • TypeScript, • Python, • Node, • Postgres, • AWS, • Snowflake, • Be part of a pioneering team that is redefining the data industry., • Work on cutting-edge technology with the opportunity to make a significant impact., • Collaborate with a talented and passionate team of engineers and industry experts., • Enjoy a dynamic, fast-paced, and supportive work environment., • Competitive compensation package and benefits. If you are passionate about the intersection of software engineering and data, and eager to contribute to the future of data management and collaboration, we would love to hear from you. Gable.ai is an equal-opportunity employer and encourages applications from candidates of all backgrounds and experiences.

Job Description We are seeking a talented GCP Data Engineer based in California City. You will be responsible for designing, building, and maintaining robust data pipelines and data solutions on the Google Cloud Platform. Requirements • Strong experience as a GCP Data Engineer, with proven experience in designing and implementing data pipelines and solutions on the Google Cloud Platform., • Proficiency in GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Data Fusion., • Experience in data ingestion, data transformation, and data modeling on GCP., • Strong programming skills in Python or Java, and experience with SQL., • Experience with data integration, ETL, and data warehousing concepts., • A strong understanding of data governance, data quality, and data security., • Experience with CI/CD pipelines and automation frameworks., • Excellent problem-solving and troubleshooting skills. About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at . Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Job Description Continua has launched an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. Funded by Google and Bessemer Venture Partners, Continua is developing the future of socially-intelligent AI. We've seen rapid growth over the last quarter, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level. This a hybrid position in Seattle, WA or New York, NY. We are onsite 3+ days per week. What you'll do: You'll work on building and improving the best LLM group chat experience there is. This includes: * Fine-tuning models to boost conversational quality and improve scalability. * Owning new ideas for engaging features and working across the stack to take them from concept to production. * Identifying novel ways to build a "memory" which leads to a personalized and unique experience for our users. * Leading technical decision making to find solutions which are both innovative and practical. * Optimize infrastructure for performance, scalability, and reliability. * Ensure rigorous testing, validation, and continuous improvement of deployed models. Who you are: You're an experienced machine learning engineer with broad knowledge and skills in natural language processing (NLP). You're detail-oriented when it matters to make sure things get done right, but also know how to strike the balance between speed and perfection in a fast-moving startup environment. You: * Know the pitfalls and tricks for building with LLMs, especially RAG systems. * Have experience with the level of obsession over detail needed to produce high quality ML systems. * Are experienced and comfortable building backend systems and working across a code base, not just in Jupyter notebooks. * Are experienced in Python. * Know how to work independently to handle ambiguity. * Excited about the opportunity to tackle impossible problems. We're willing to compromise on years of experience for the right candidate who brings energy, intelligence, and a passion for our mission. A little about us: Our team is a fantastic bunch of accomplished engineers and researchers from Google, PayPal, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people. Compensation & Benefits: We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history! To apply: To apply, please complete the application and answer the short questions that follow. The more you answer, the better. If something doesn’t apply to you, feel free to say “N/A.” We welcome referrals! If you know someone exceptional for this role, please email us at .

Job Description PLEASE APPLY THROUGH THIS LINK: DO NOT APPLY BELOW Speechify is the easiest way to listen to the world's information. Articles on the web, documents in the cloud, books on your phone—we absorb the world's content and help our members listen to it on the go, at their own speed, with tools that make learning easier, deeper, and faster. Or, put another way: what Spotify has done for audio entertainment we're doing for audio information. And whatever we're doing seems to be working: we're #1 in our category, profitable, and have hockey-stick growth. With that growth comes the need for a Software Engineer, Platform to join our newly formed Platform team and help us scale our infrastructure, optimize the performance of key product flows and build end-to-end systems. This is a key role and ideal for someone who thinks strategically, enjoys high-pace environments, passionate about owning product decisions and has experience building and scaling complex engineering systems. Some of the things you'll do: • Build, own and report on the performance of complex end-to-end systems, • Actively participate in product decisions and refining the product roadmap, • Experience. You've played a crucial role in building and maintaining of large scale products and have worked both backend and frontend, • Systems thinking. You know how to think high level about end-to-end systems involving multiple products, 3rd party services etc, • Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs, • A fast-growing environment where you can help shape the culture, • An entrepreneurial crew that supports risk, intuition, and hustle, • A hands-off approach so you can focus and do your best work, • The opportunity to make an impact in a transformative industry Not looking but know someone ideal for the role? Refer them! We'll send you (really good) chocolate if we make the hire.

Job Description About Us Chips are at the center of today's tech-driven world. But how we design them has not changed in decades, while their complexity and specialization have skyrocketed due to increasing performance demands from applications like AI. We want to change that. Our team is small, technical, and fast-moving. We’ve built and shipped at the intersection of AI, EDA, and systems software, with deep roots at companies like Qualcomm, Nvidia, Google, Meta, and the Allen Institute for AI. We’re backed by top investors including Khosla Ventures, Cerberus, and Clear Ventures, and already deployed with 10+ innovative customers—from Fortune 100s to cutting-edge AI silicon startups. About This Role This role offers a unique opportunity to be part of the founding team at ChipStack, where we are reinventing how modern silicon chips are designed. You will work alongside highly experienced chip designers who have built complex chips, ML scientists who have trained LLMs at scale, and top-notch infrastructure and software engineers. You will get to leverage your experience building ML and data infrastructure and apply it to some of the hardest problems in chip design. About You You want to be at a startup because you love to be at the center of all the dynamism that a startup offers. You are willing to put in the hours and go the extra mile to ensure every customer has an exceptional experience. You are self-motivated with a sense of urgency and can operate independently without much guidance. You are not afraid of difficult problems and enjoy venturing into areas you have not explored before. This Role We’re looking for a strong, experienced ML Infrastructure Engineer to join our founding team. We are seeking someone with experience designing and scaling ML infrastructure and training pipelines. You’ll be responsible for building the core infrastructure that enables training, fine-tuning, evaluation, and deployment of LLMs across cloud and on-premise environments. Your work will directly impact product capabilities and speed of iteration. What's needed * 5+ years of experience in ML infrastructure or adjacent roles * Deep expertise in Python and experience with training frameworks like PyTorch or TensorFlow * Strong systems engineering skills and experience with distributed training, data pipelines, and performance optimization * Experience deploying ML models to production (REST APIs, batch jobs, streaming pipelines) * Proficiency with cloud platforms (e.g., GCP, AWS) and containerized systems (Docker, Kubernetes) * Experience managing GPU/TPU workloads efficiently * Good communication skills and the ability to work directly with engineers and customers * Prior experience training or fine-tuning LLMs * Experience setting up observability, monitoring, and evaluation pipelines for ML models What's good to have * Exposure to chip design fundamentals (via coursework or elsewhere) * Experience at an early-stage startup Our Culture Challenge status quo: We are innovators who can challenge the status quo and push forward our vision of the world. Strong opinions, loosely held: We are low on ego, but high on collaboration. We are okay to be wrong and are always open to learning. Ship fast, ship quality: We ruthlessly prioritize what matters. We build a few things, but at lightning speed with high quality. Proud of our craft: Attention to detail is in our DNA. We take pride in what we build and ensure they exceed the high standards of the semiconductor industry.