Engineer 6 Jobs

About AiDASH AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection & Monitoring, AiDASH delivers comprehensive visibility across the entire grid at the right frequency and budget, using the right data modality. More than 200 customers trust AiDASH to keep the lights on, spend where it counts, and defend every decision, Securing Tomorrow across every mile of the grid. Learn more at www.aidash.com. The PreventionFirst movement is growing, and so is the recognition behind it. In 2026, Forbes named AiDASH one of America's Best Startup Employers for the 4th consecutive year, and TIME included AiDASH among America's Top GreenTech Companies for the 3rd year in a row. Deloitte Technology Fast 500 ™ ranked AiDASH No. 12 in the San Francisco Bay Area, and No. 59 overall in their selection of the top 500 for 2024. Join us in Securing Tomorrow Together! The Role AiDASH is scaling fast — o ur satellite and AI-powered utility products are set for aggressive customer growth over the next two years, and engineering is at the heart of making it happen. We’re hiring a Head of Engineering, AI Platform to join our engineering leadership team in a newly created role. In this role, y ou'll build our new Data Inference AI Pipeline team from the ground up to support our rapidly growing customer base. This is a rare opportunity to build both the team and the system from scratch: you'll shape the architecture, culture, and hiring bar of a new AI team from day one, and own the pipeline that powers our AI products as our customer base grows. In this role, you will report to the VP of Engineering and have real ownership over technical decisions, team design, and engineering practices. Our pending acquisition by Schneide

The Security Incident Response Team (SIRT) plays a vital role in keeping Datadog safe from cybersecurity threats, defending the organization against threat actors, and maintaining the trust of our customers by ensuring their data remains protected. In this role, you will work closely with teams across Datadog to identify, triage, and respond to a wide range of threats, ensuring that we can contain any incidents as quickly as possible. You will also contribute to the tools and systems that make us more effective in our mission, and help ensure we have cross-functional learning from incidents to improve our defensive posture going forward. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Partner with our Cyber Threat Intelligence and Detection Engineering teams to identify threats to Datadog and ensure we have appropriate, accurate, high-signal detections for those threats. Triage escalated alerts to determine whether a security incident is occurring or may occur imminently. Respond to security incidents, whether as an incident commander or as an incident responder Make us more efficient through building tools and automations that eliminate repetitive processes Help us improve our overall security posture through post-incident reviews, tabletop and purple team exercises, and process/runbook improvements. Participate in a light on-call rotation. Who You Are: You have at least 5 years of experience in security incident response, threat hunting, security operations, cloud security, or other operational security domains. You’ve worked with at least one public cloud platform (AWS, GCP, or Azure) and cloud-native technologies like Kubernetes, Docker, or Terraform. You have a strong understanding of cloud-native threat actor TTPs and corresponding defensive contr

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. What You'll Do The Senior Regulatory Test Engineer leads the evaluation of products against worldwide EMI, EMC, RF, safety, and cybersecurity regulatory requirements. This role develops test strategies and detailed test plans, interprets new and changing standards, organizes complex test programs, and drives technical alignment across engineering, compliance, product, and external laboratory partners. The position is expected to operate with senior-level judgment, mentor other test engineers, and convert past testing experience and evolving regulatory requirements into repeatable internal practices and policies. Primary Responsibilities: Lead EMI, EMC, RF, safety, and cybersecurity test planning for Ubiquiti's product lines, including wireless access points, gateways, routing products, and related network equipment. Create comprehensive test plans and test readiness checklists that define standards, configurations, modes of operation, sample requirements, instrumentation, acceptance criteria, and schedule dependencies. Perform and oversee EMC and RF testing in accordance with FCC, ISED, EU, and other global requirements using applicable test standards and regulatory guidance. Review, analyze, and interpret test data; identify compliance risks; and communicate clear recommendations to cross-functional engineering, product, operati

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Thermal Test Engineer to support the development, qualification, and production of aerospace and defense systems. This role will be responsible for planning, developing, executing, and analyzing thermal and environmental tests on components, subsystems, and integrated systems. The Thermal Test Engineer will work closely with Mechanical, Thermal, Systems, Electrical, Manufacturing, Quality, and Program teams to ensure products meet defined thermal performance, reliability, and environmental requirements. Key Responsibilities Develop and execute thermal and environmental test plans for aerospace and defense hardware, including components, subsystems, and system-level assemblies. Develop detailed test procedures, test requirements, instrumentation plans, test configurations, and test readiness documentation. Plan and execute thermal cycling, thermal vacuum (TVAC), thermal soak, temperature/humidity, high/low temperature, and other environmental tests as applicable to program requirements. Support qualification, acceptance, development, and verification testing throughout the product lifecycle. Configure and operate environmental test chambers, thermal vacuum chambers, thermal cycling equipment, and associated test syste

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity New Relic is seeking an Infrastructure Engineer to join our IT Engineering team, with a focus on network infrastructure and enterprise AI enablement. You will build and operate the networks that keep our global workforce connected and secure, and you will help deploy AI tools that make the company faster. This is an engineering role built around automation, scalability, and reliability, with real ownership over the platforms you run. We are looking for a systems thinker who automates repetitive work, writes clear documentation, and makes sound tradeoffs between security, usability, and speed of adoption. You will partner with Security, Compliance, Facilities, IT Support, and Engineering teams, and you will have room to lead projects and shape the roadmap. What you'll do You will own and improve core network infrastructure across our global offices while driving the technical rollout and governance of AI platforms across the company. Day-to-day responsibilities include: Network and infrastructure Design, deploy, and manage Meraki infrastructure across global offices using the Meraki Dashboard and APIs Troubleshoot and resolve office network issues, including Wi-Fi, switching, VLAN, DHCP, DNS, and connectivity problems. Manage ISP relationships, including circuit procurement, installs, renewals, SLAs, outage escalation, and domain performance tracking Plan and execute office network builds, moves, and refreshes with Facilities and Security Design, deploy,

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 30,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. At Linear, we are committed to quality. Security is an essential part of that quality — not a layer that we add later, but something we build in from the start. We have a foundational security program we're proud of but, as Linear evolves our product and scales into enterprise, there's meaningful work ahead: staying ahead of vulnerabilities as our attack surface grows, responding fast and cleanly when incidents happen, and hardening our product and infrastructure. As Security Engineer at Linear, you'll be operating in a high-autonomy role with real scope, doing hands-on security work across the product and infrastructure we build. Location & work mode Linear is a remote-first company. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do Depending on your experience / skillset and our broader priorities, you could: Operate, automate, and extend vulnerability management end-to-end: triage, prioritize, and drive remediation across product, infrastructure, and dependencies, and keep the program’s SLAs meaningful rather than theoretical Run our bug bounty program: triage incoming reports, validate severity, work with engineering on fixes, and keep researcher relationships professional an

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Senior Sales Engineer, you’ll combine your technical aptitude, exceptional communication skills, and creative problem solving to help enterprise merchants design and implement scalable, reliable solutions on the Affirm platform. You’ll support pre-sale activities by leading technical discovery, analyzing requirements, and identifying well-architected solutions, while playing a key role in winning deals and driving the business forward. Staff Sales Engineers are part of the Merchant Engineering team and work closely with Affirm’s Sales, Engineering, and Product teams. You will work cross-functionally to develop merchant solutions, serve as a trusted technical advisor to customers, identify product enhancements, and help build internal processes that scale. What You'll Do Technical Expertise: Serve as the subject matter expert on Affirm’s integration solutions, demonstrating deep understanding of merchant checkout, customer journeys, and the competitive landscape. Making the most compelling technical case for Affirm to merchants. Consistently demonstrate your technical expertise and knowledge of Affirm’s product suite through developing and articulating compelling technical narratives that map Affirm’s capabilities to merchant systems, increasing solution scope and long-term platform adoption. Solution Development: Architect elegant solutions addressing specific customer challenges, including complex integrations and customizations. As necessary, think outside-the-box to design and architect end-to-end solutions that address complex merchant challenges, including advanced integrations and customizations. Evaluate tradeoffs across merchant constraints, platform capabilities, and non-functional requirements, and design tailored solutions aligned with each merchant’s business and technical

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Senior Sales Engineer, you’ll combine your technical aptitude, exceptional communication skills, and creative problem solving to help enterprise merchants design and implement scalable, reliable solutions on the Affirm platform. You’ll support pre-sale activities by leading technical discovery, analyzing requirements, and identifying well-architected solutions, while playing a key role in winning deals and driving the business forward. Senior Sales Engineers are part of the Merchant Engineering team and work closely with Affirm’s Sales, Engineering, and Product teams. You will work cross-functionally to develop merchant solutions, serve as a trusted technical advisor to customers, identify product enhancements, and help build internal processes that scale. What You'll Do Technical Expertise: Serve as the subject matter expert on Affirm’s integration solutions, demonstrating deep understanding of merchant checkout, customer journeys, and the competitive landscape. Making the most compelling technical case for Affirm to merchants. Consistently demonstrate your technical expertise and knowledge of Affirm’s product suite through developing and articulating compelling technical narratives that map Affirm’s capabilities to merchant systems, increasing solution scope and long-term platform adoption. Solution Development: Architect elegant solutions addressing specific customer challenges, including complex integrations and customizations. As necessary, think outside-the-box to design and architect end-to-end solutions that address complex merchant challenges, including advanced integrations and customizations. Evaluate tradeoffs across merchant constraints, platform capabilities, and non-functional requirements, and design tailored solutions aligned with each merchant’s business and technical

About the role Chime's Data Science & Machine Learning team builds the models, services, and platforms behind how millions of members manage and grow their financial lives. We're hiring a Staff AI/ML Engineer on our Lending and Cashflow team to lead the modeling behind cash flow underwriting and surface member insight: using members' transaction and deposit data to make fair, accurate credit decisions for people that traditional credit scores often miss. In this role, you'll build and deploy machine learning systems on some of the richest transactional and behavioral data in fintech, turning it into the credit decisions behind products like MyPay, Instant Loans, and SpotMe. This is a highly applied role: you'll own problems end to end, from framing the question through to a model running in production and moving a metric that matters, and you'll set the technical direction for how Chime underwrites with cash flow data. In this role, you can expect to Lead the design, training, and deployment of deep learning and classical ML underwriting models that turn members' transaction and cash flow data into credit decisions, from approval and line assignment to loss forecasting Take models from problem framing through to production — training, evaluation, deployment, monitoring, and iteration — and stay accountable for how they behave once they're live Design and improve the systems around the model: feature pipelines, batch and real-time inference, monitoring, and retraining Partner with Product, Engineering, Analytics, and Risk to turn ambiguous business problems into ML solutions, and to make sure the solution is the right one Connect model performance to member outcomes and business metrics, and use experimentation to prove impact Set the technical roadmap for Lending ML and raise the bar across the team through design reviews, mentorship, and shared standards for model development, validation, and governance Help identify where AI/ML creates measurable impact for me

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Senior Software Engineer Opportunity The team that built Jeeva AI is building Digital Workers, a new suite of autonomous agents for identity operations and security inside Okta. The team works directly with Todd McKinnon, Okta's co-founder and CEO, with the opportunity to bring this product to Okta's 20,000+ customers. You will help shape the product with the ownership and pace of a startup and the resources of a public company. You will build the harnesses and evaluations that make these workers reliable. They investigate risk, use tools, wait for approvals and complete tasks across enterprise systems. Bring depth in agent execution or model quality and help turn it into working software customers can trust. About You Production builder: You have shipped AI software and know what changes when real users depend on it. Careful evaluator: You investigate failures and use evidence to judge quality. Strong owner: You follow an improvement through code, evaluation, release and customer use. What you will be doing Build the agent harness for planning, tool use, memory, context compaction, interruption and recovery during long-running work. Integrate OpenAI and Anthropic model APIs. Select models using measured quality, latency and cost, with clear failure handling. Evaluate existing harnesses and build only the missing pieces. Keep the harness connected to AWS workflow execution and approval state. Keep authorization and sensitive writes behind application po

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Staff Software Engineer Opportunity The team that built Jeeva AI is building Digital Workers, a new suite of autonomous agents for identity operations and security inside Okta. The team works directly with Todd McKinnon, Okta's co-founder and CEO, with the opportunity to bring this product to Okta's 20,000+ customers. You will help shape the product with the ownership and pace of a startup and the resources of a public company. You will build the harnesses and evaluations that make these workers reliable. They investigate risk, use tools, wait for approvals and complete tasks across enterprise systems. Bring depth in agent execution or model quality and help turn it into working software customers can trust. About You Production builder : You have shipped AI software and know what changes when real users depend on it. Careful evaluator : You investigate failures and use evidence to judge quality. Strong owner: You follow an improvement through code, evaluation, release and customer use. What you will be doing Build the agent harness for planning, tool use, memory, context compaction, interruption and recovery during long-running work. Integrate OpenAI and Anthropic model APIs. Select models using measured quality, latency and cost, with clear failure handling. Evaluate existing harnesses and build only the missing pieces. Keep the harness connected to AWS workflow execution and approval state. Keep authorization and sensitive writes behind application p

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Principal Software Engineer Opportunity The team that built Jeeva AI is building Digital Workers, a new suite of autonomous agents for identity operations and security inside Okta. The team works directly with Todd McKinnon, Okta's co-founder and CEO, with the opportunity to bring this product to Okta's 20,000+ customers. You will help shape the product with the ownership and pace of a startup and the resources of a public company. You will build the harnesses and evaluations that make these workers reliable. They investigate risk, use tools, wait for approvals and complete tasks across enterprise systems. Bring depth in agent execution or model quality and help turn it into working software customers can trust. About You Production builder : You have shipped AI software and know what changes when real users depend on it. Careful evaluator : You investigate failures and use evidence to judge quality. Strong owner: You follow an improvement through code, evaluation, release and customer use. What you will be doing Build the agent harness for planning, tool use, memory, context compaction, interruption and recovery during long-running work. Integrate OpenAI and Anthropic model APIs. Select models using measured quality, latency and cost, with clear failure handling. Evaluate existing harnesses and build only the missing pieces. Keep the harness connected to AWS workflow execution and approval state. Keep authorization and sensitive writes behind applicati

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team In this role, you'd be joining the Alloy Integrations team. We own how Metronome's customers collect payments and recognize revenue. We build and run the integrations that connect Metronome's usage-based billing platform to the systems businesses depend on to get paid: Stripe invoicing and payments, cloud marketplaces (AWS, Azure, and Google Cloud), ERP systems like NetSuite and QuickBooks, and CRM systems like Salesforce. We also bring Stripe products such as Checkout into Metronome, so customers can move from contract to cash in one place. Our team helps Stripe increase the GDP of the internet by making sure every invoice reaches the right system and every payment is collected and accounted for correctly, at scale. We focus on two areas: Invoicing: collection, dunning, and invoice delivery Quote-to-cash automation: connecting the full journey from a signed deal to recognized revenue What you'll do You'll build and operate distributed systems that move billing data between Metronome and the platforms our customers use to run their finances. The work combines product engineering and reliability. You'll ship features that customers ask for directly, and you'll strengthen the event-driven pipelines that handle large invoicing spikes every month-end. You'll work closely with our product manager, with partner engineering teams that own contracts, usage rating, and invoice finalization, with solutions architects who build ERP integrations with cu

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Auth0 Platform Observability team owns the observability tooling that monitors the Auth0 Platform, and we are looking for an Observability Engineer to help ensure our Product and Platform Engineers can monitor and observe our platform while we continue to rapidly ship software our customers love. Our engineers maintain and automate observability tooling for our entire platform, including metrics, logs, and traces. We are looking for engineers passionate about monitoring, observing, measuring uptime and availability, and ensuring platform stability. If you have experience within the Site Reliability Engineering (SRE) field or working as a Development Operations (DevOps) engineer, and you have a passion for Observability tooling, this position will allow you to further your learning and development in these areas. As a Senior Engineer on this team, you will act as a core technical leader. You will work cross-functionally to help integrate services with our instrumentation libraries, support product teams, and actively investigate incidents to identify our observability gaps. Responsibilities: Proven ability to champion observability best practices, acting as an educator who can effectively correct anti-patterns and teach other engineering teams how to build robust, standardized instrumentation. Be an expert in running services in production environments Contribute to the process of designing services for high growth and high availability. Provision, confi

Senior Analytics Engineer The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call . As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements . What you’ll achieve Own the Gold layer for a given business domain (e.g., PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means,