Laser Design Engineer Jobs

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's Governance and Compliance platform is the operating layer enterprises trust to run their security programs. We are hiring an engineer who will own the architectural foundation that makes it work for their most complex organizational structures. Program Structure and Trust is a newly chartered group at Vanta with a focused mission: build the enterprise org model that lets customers bring their compliance and security structure — product lines, business units, isolated data environments, cross-cutting audits, scoped approvals, and data residency requirements — natively into the platform. The problems this team solves determine whether Vanta can serve the enterprise customers it's increasingly winning. This is the defining technical role of the group. The Staff Engineer owns the design, phased delivery, and long-term technical direction of Vanta's enterprise org model — a multi-quarter initiative that cuts across the platform and establishes the foundation for how enterprise customers structure, segment, and operate inside Vanta. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you'll do as a Staff Engineer at Vanta: Own the design and multi-quarter delivery of Vanta's enterprise org model, including hierarchical product lines and business units, isolated data access and ownership, cross-cutting audit workflows, scoped approvals, and EU and GovCloud data residency support Define and evolve the core abstractions that let the platform absorb structurally diverse, often conflicting enterprise requirements — solving for the general case rather than one-off customer accommodations Retrofit

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Observability Streams team at Elastic is building Elastic's unified data pipeline - the layer that connects where your data comes from to where it lands, with full control over how it's processed and routed along the way. Whether you're collecting metrics from cloud accounts, shipping logs from agents, or routing traces to different destinations, Streams is what ties it all together . The Streams Backend team is responsible for the backend services powering this pipeline, ensuring data is routed, processed, and delivered efficiently and reliably at scale. We also own Logstash, the open-source streaming ETL tool (and the “L” in the “ELK stack”) trusted by enterprises worldwide to move and transform data, and we are regular contributors to the OpenTelemetry Collector. As a Senior software engineer on the Streams Backend team ,you will help drive the design and development of new features across the Streams Backend service and Logstash, contribute to the OpenTelemetry Collector, and support our users and enterprise customers. Our team is distributed across the globe, and we communicate mostly through Slack, GitHub, email and Zoom. What You Will Be Doing Designing and implementing new features for Logstash and its plugins in Java and JRuby. Designing, building, and operating core backend services

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Observability Streams team at Elastic is building Elastic's unified data pipeline - the layer that connects where your data comes from to where it lands, with full control over how it's processed and routed along the way. Whether you're collecting metrics from cloud accounts, shipping logs from agents, or routing traces to different destinations, Streams is what ties it all together . The Streams Backend team is responsible for the backend services powering this pipeline, ensuring data is routed, processed, and delivered efficiently and reliably at scale. We also own Logstash, the open-source streaming ETL tool (and the “L” in the “ELK stack”) trusted by enterprises worldwide to move and transform data, and we are regular contributors to the OpenTelemetry Collector. As a Senior software engineer on the Streams Backend team ,you will help drive the design and development of new features across the Streams Backend service and Logstash, contribute to the OpenTelemetry Collector, and support our users and enterprise customers. Our team is distributed across the globe, and we communicate mostly through Slack, GitHub, email and Zoom. What You Will Be Doing Designing and implementing new features for Logstash and its plugins in Java and JRuby. Designing, building, and operating core backend services

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Observability Streams team at Elastic is building Elastic's unified data pipeline - the layer that connects where your data comes from to where it lands, with full control over how it's processed and routed along the way. Whether you're collecting metrics from cloud accounts, shipping logs from agents, or routing traces to different destinations, Streams is what ties it all together . The Streams Backend team is responsible for the backend services powering this pipeline, ensuring data is routed, processed, and delivered efficiently and reliably at scale. We also own Logstash, the open-source streaming ETL tool (and the “L” in the “ELK stack”) trusted by enterprises worldwide to move and transform data, and we are regular contributors to the OpenTelemetry Collector. As a Senior software engineer on the Streams Backend team ,you will help drive the design and development of new features across the Streams Backend service and Logstash, contribute to the OpenTelemetry Collector, and support our users and enterprise customers. Our team is distributed across the globe, and we communicate mostly through Slack, GitHub, email and Zoom. What You Will Be Doing Designing and implementing new features for Logstash and its plugins in Java and JRuby. Designing, building, and operating core backend services

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Observability Streams team at Elastic is building Elastic's unified data pipeline - the layer that connects where your data comes from to where it lands, with full control over how it's processed and routed along the way. Whether you're collecting metrics from cloud accounts, shipping logs from agents, or routing traces to different destinations, Streams is what ties it all together . The Streams Backend team is responsible for the backend services powering this pipeline, ensuring data is routed, processed, and delivered efficiently and reliably at scale. We also own Logstash, the open-source streaming ETL tool (and the “L” in the “ELK stack”) trusted by enterprises worldwide to move and transform data, and we are regular contributors to the OpenTelemetry Collector. As a Senior software engineer on the Streams Backend team ,you will help drive the design and development of new features across the Streams Backend service and Logstash, contribute to the OpenTelemetry Collector, and support our users and enterprise customers. Our team is distributed across the globe, and we communicate mostly through Slack, GitHub, email and Zoom. What You Will Be Doing Designing and implementing new features for Logstash and its plugins in Java and JRuby. Designing, building, and operating core backend services

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The Data Center Engineering team designs training and inference compute clusters from first principles, pushing thermal, electrical, and optical systems to the limit of physics. We operate as a highly cross-disciplinary team of mechanical, electrical, optical, and software engineers, all working to maximize the efficiency, reliability, and deployment speed of terrestrial computing to serve rapidly scaling demand. This team owns compute architecture, datacenter network design, rack builds, connectivity, in-house design of our own computers, and the manufacturing line that builds that compute. As an Optical Engineer, you will own the physical optical layer of that computer: fiber layout, link design, connector and polarity architecture, optics selection, and production of a plant that can be built, tested, and repaired at AI cluster scale. RESPONSIBILITIES: Own end-to-end optical and fiber design for AI training and inference fabrics: fiber cabling, cassette/panel architecture, polarity, breakout, reach, and connector strategy (MPO-12/16, SN, MDC, LC, OSFP / QSFP-DD) Write and verify link budgets for scale-out and scale-up interconnect (SMF/MMF, AOC/DAC, DR/FR/LR,

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's Governance and Compliance platform is the operating layer enterprises trust to run their security programs. We are hiring an engineer who will own the architectural foundation that makes it work for their most complex organizational structures. Program Structure and Trust is a newly chartered group at Vanta with a focused mission: build the enterprise org model that lets customers bring their compliance and security structure — product lines, business units, isolated data environments, cross-cutting audits, scoped approvals, and data residency requirements — natively into the platform. The problems this team solves determine whether Vanta can serve the enterprise customers it's increasingly winning. This is the defining technical role of the group. The Staff Engineer owns the design, phased delivery, and long-term technical direction of Vanta's enterprise org model — a multi-quarter initiative that cuts across the platform and establishes the foundation for how enterprise customers structure, segment, and operate inside Vanta. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you'll do as a Staff Engineer at Vanta: Own the design and multi-quarter delivery of Vanta's enterprise org model, including hierarchical product lines and business units, isolated data access and ownership, cross-cutting audit workflows, scoped approvals, and EU and GovCloud data residency support Define and evolve the core abstractions that let the platform absorb structurally diverse, often conflicting enterprise requirements — solving for the general case rather than one-off customer accommodations Retrofit

P-78 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The filesystem has emerged as the preferred runtime interface for agentic AI. AI agents use the filesystem for context, memory management, artifact (dashboard, code etc) authoring, version control, sandboxing, and interacting between systems and agents. It is the foundational layer to accelerate AI adoption As a Senior Software Engineer on the Files team, you will innovate at the intersection of storage, performance, and distributed systems, directly shaping our filesystem strategy to power next-generation agentic workloads. The Impact You’ll Have Design, build, and operate the the filesystem platform powering tens of thousands of data, AI and agentic workloads daily Push filesystem performance for the most demanding workloads — profiling and optimizing across the stack, from the API layer down to the Linux kernel Partner with teams across the platform to design and evolve next-generation compute and storage architectures Set the technical direction for how content is organized across Databricks, standardizing around filesystem primitives that apply to every product surface What We’re Looking For Bachelor's degree (or higher) in Computer Science or a related field 5+ years of production-level experience in Java, Scala, C++, Go, Rust, or a similar language 3+ years of experience developing large-scale distributed systems Experience with

The Platform organization at Asana builds the services and shared experiences that every Asana product runs on. That starts with the Work Graph, where our customers' work lives, and the APIs that let people and AI agents act on it. It extends to the events and reporting systems built on the graph, to the extensibility layer that connects Asana to the tools and agents our customers use, and to new shared experiences that are used by all Asana’s customers. We are looking for a Principal Software Engineer to be the senior technical leader of this organization. You will own the architecture that Asana's products and customers build on, and drive the initiatives too large or too risky for any one team to carry. You will work with Asana's most senior leaders to connect engineering plans to business outcomes, and shape where the platform takes the company next. This role is based in our New York 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 the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve Set technical direction across Asana's platform, from the Work Graph and its data model to the ecosystem of APIs and shared experiences that products, integrations, and agents build on Partner across the R&D organization, Security, and Legal to drive a portfolio of high-stakes, long-term initiatives that create leverage in how we build Set the bar for good platform design, including interface design, separation of concerns, and reliability and functional guarantees Make the high-stakes calls on build versus buy, on vendors, and on how to replatform without stopping product delivery, and make sure those decisions age well Bring a grounded view of the industry, and of how AI agen

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . CSE SRE – DBA Focus Job Description As a Software Dev Senior Engineer, you will own the reliability, scalability, and operational excellence of our Cloud-based services. You will define and enforce reliability standards, drive the adoption of SRE practices across engineering teams, and build the systems and tooling that keep our production infrastructure healthy. We follow a DevOps model: Development and Operations teams are integrated, and the SRE function acts as the reliability layer — setting Service Level Objectives, managing error alerts, and continuously reducing toil through engineering. Key Responsibilities: Lead on call response and triage – help design and lead the 24x7 response team for triage and rally engineering to address service degradation, facilitating process and communications along the way Define, publish, and continuously refine Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) for all critical services, partnering with product and engineering leadership. Own the error management practices, including monitoring and alerting, and surfacing notable errors to the development team Lead the design and implementation of comprehensive ob

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Lead Software Engineer ABOUT THE TEAM Imagine building the analytics layer that thousands of business users rely on to understand their data. At Appian, we don’t just ship features, we build the reporting, charting, and AI-powered insights engine at the heart of the Appian platform. Our work spans from interactive chart builders and drag-and-drop dashboards to LLM-powered copilots that generate KPIs and insight summaries from process data. If you want to work across the full stack, from database schema design to chart components to AI prompt pipelines, this is the role. This role is based at our headquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. THE OPPORTUNITY As a Lead Software Engineer working on the Appian platform, your mission will be to ensure Appian is always fast, scalable, and up to whatever tasks our customers configure it to do. Your scope extends from the high-performance data layer to the cross-platform user interface to the design tools used to create it.You’ll work on complex issues where analyzing situations or data requires an in-depth evaluation of variable factors. You will exercise judgment in selecting methods, techniques,

Role Description Defense Unicorns is seeking a senior Data Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem. This role will focus on making enterprise data usable, discoverable, governed, and accessible to AI models, agents, and mission applications. The engineer will work across data ingestion, transformation, storage, metadata, APIs, search, vector and graph technologies, and the interfaces between the data layer and AI workloads. The ideal candidate is a hands-on data engineer who can operate across the full data lifecycle and understands that data availability and integration are often the primary blockers to delivering AI capabilities. They should be comfortable entering an evolving architecture, learning unfamiliar systems quickly, working directly with commercial technology partners, and solving difficult problems involving data quality, lineage, access, performance, and security. This is not a traditional analytics or business intelligence role. The focus is on building the data foundations and repeatable patterns that allow AI and agentic capabilities to access trusted data and move from prototype to production in secure and classified environments. Responsibilities Design, build, and maintain reliable data pipelines that ingest, transform, validate, and deliver data for AI models, agents, and mission applications. Integrate structured and unstructured data sources into enterprise data services, including relational, document, vector, and graph-oriented technologies. Work closely with AI/agent engineers to make data discoverable and usable for RAG, semantic search, model context, and tool-enabled agent workflows. Develop repeatable data ingestion and transformation patterns using Python, SQL, APIs, event-driven architectures, and workflow/orchestration technologies. Establish data quality, validation, provenance, lineage, and metadata practices so downstream users and AI systems can t

About the Role: The Infrastructure team at Tubi builds and operates the core platforms that power our services at scale. We provide reliable, scalable, and developer-friendly systems for compute, networking, observability, and deployment. As a Senior Software Engineer on the Infrastructure team, you will design, build, and operate the core platforms that all Tubi services run on: compute, networking, traffic, deployments, and observability. You will manage large-scale Kubernetes environments and use Infrastructure as Code (IaC) to keep cloud resources consistent and traceable. Your work can span the full platform stack, from the edge and service mesh to release tooling and reliability systems. In this role, you’ll collaborate with cross-functional teams to deliver scalable, high-performing cloud solutions, working closely with application developers and gaining exposure to a wide range of technologies, including live-streaming, customer customization, and large-scale video transcoding pipelines. This is a hybrid role (2 days/week) based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Kubernetes Operations : Manage and scale multi-cluster Kubernetes deployments, ensuring high availability, performance, and reliability. Networking & Traffic: Design and operate the networking and traffic layer, from the edge to service-to-service communication. This includes safe rollout strategies (for example, canary releases, blue/green deployments, and gradual rollouts) with service mesh technologies such as Istio/Envoy. Release Engineering & Developer Platform: Build and maintain CI/CD pipelines and self-service deployment tooling. Automate deployments and rollbacks, and improve the release experience for all engineers at Tubi. Infrastructure as Code (IaC) : Use Terraform and other IaC tools to provision and manage cloud infrastructure, ensuring consistency and auditability. Observability &amp