Production Dx Engineer Jobs

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As a Test Engineer for the Alarms team, you will be responsible for ensuring the absolute reliability of our mission-critical security hardware and software. You'll be working across the entire stack, building the Hardware-in-the-Loop (HIL) test infrastructure, writing automation, and catching problems before they reach production. What You'll Do Design and implement automated test frameworks for embedded alarm and safety products. Build hardware-in-the-loop (HIL) testing systems that validate real devices under realistic operating conditions. Develop tests that verify both individual components (sensors, controllers, communication modules) and end-to-end system behavior . Write software to coordinate devices, test rigs, and cloud APIs for automated system validation. Simulate real-world scenarios such as sensor faults, communicatio

POSITION OVERVIEW The position of Installer for Construction Resources will be responsible for the proper installation of various types of glass and mirrors. Requires ability to cut and properly handle glass, mirrors and enclosures, wire shelving, bath accessories and door hardware. Requires excellent customer service and good communication skills. Willingness to work in a team environment with Crew Leader is necessary. Essential Functions & Responsibilities Loads and logs materials onto truck and documents returned materials Able to read and erect shelving template as per job specifications Drill and install all hardware accurately as per job specifications Attach all necessary hardware correctly as per job specifications Install bath accessories, erect custom shelving units and install mirrors Completes other duties as assigned Minimum Qualifications High School education or equivalency required Experience in the construction/ Carpentry industry is required Prior glass work experience preferred Must possess a valid driver’s license with good driving record Ability to manage multiple projects simultaneously Strong interpersonal and communication skills with the ability to work effectively in diverse environments Work Environment Onsite – In order to fulfill responsibilities of the Installer position, this job is required to work in a specific Construction Resources manufacturing, production, or office environment. Additional details will be provided during the interview process. Compensation/Salary: This is a W-2 employee position (not 1099) and is paid on a piece rate basis. This role is eligible for piece‑rate and training pay, subject to approval and at the discretion of the hiring manager. Additional pay is not guaranteed and may be changed or discontinued. Employment is at will, and compensation terms may change during employment. #CRTrades BENEFITS Medical Dental Vision Employer Paid Basic Employee Life and AD

About the Role The Data engineering team has been created keeping in mind the importance and criticality of data for the overall success of Chime. The mission of this group is to build scalable data artifacts and insights that enable accurate, governed, data-driven decision-making.. As a core member of the team, you will have the opportunity to build scalable data pipelines and frameworks. Additionally, you will have the unique opportunity to architect and build workflows that could potentially become de facto standards for the fintech industry. In this role, you can expect to Be a hands-on data engineer, building, scaling and optimizing ETL pipelines Design data schemas and scale them data for 10x data growth Ownership of all aspects of data - data quality, data governance, schema design, data quality and security Develop scalable data architecture and standardized data models that enable self-serve data insights using AI. Own the ETL workflows and make sure the pipeline meets data quality and availability requirements Work closely with partner teams, like Data Science, Analytics and DevOps To thrive in this role, you have 5+ years experience transforming data to governed and lucid datasets 5+ years of hands-on experience to build and deploy production-quality data pipelines 5+ years of experience working with stakeholders to provide business insights 5+ years of experience writing SQL, Spark, AWS Glue, EMR, Airflow, Python 3+ years of hands-on experience using any MPP database system like Snowflake, AWS Redshift or Teradata Track record of successful partnerships with Analytics, Data Science and DevOps teams Understanding of key metrics for data pipelines and has built solutions to provide visibility to partner teams Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary. #LI-Onsite #LI-WW1 Below is the base salary offered for t

Principal Research Scientist – Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners. Role Summary As a Principal Research Scientist – Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment with Databricks’ strategic obj

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team & role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Robinhood Command Center (RCC) is a newly formed reliability team that serves as the front line for detecting, coordinating, and mitigating production incidents across Robinhood. As part of Robinhood’s broader reliability initiative, RCC works closely with product engineering, reliability, observability, infrastructure, and business teams to reduce customer impact and shorten incident duration. As a Senior Engineer, you will be part of the founding RCC team, helping define how Robinhood responds to and learns from incidents at scale. This is a highly visible role focused on incident leadership, operational excellence, and reliability tooling. You will not own product services or core infrastructure, but you will own the processes and tools that enable fast, high-quality incident response. This role is based in our Menlo Park, California office, with in-person attendance expected at least 3 days per week. What you'll do: Serve as a senior technical leader driving the long-term reliability and observability strategy across Robinhood’s infrastructure Partner closely across many different types of engineers to raise the bar for operational excellence and incident r

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are currently seeking a Staff Software Engineer, Infrastructure to join the AI Platform team that powers seamless insights and interaction through natural language and data intelligence across our AI products. As a Staff Software Engineer, you’ll architect, build, and operate the backend and platform systems that power AI Platform. You’ll work across service design, distributed systems, cloud infrastructure, event-driven processing, observability, CI/CD, and production reliability, helping shape the technical direction of a platform that supports scalable, client-facing AI experiences. This role requires a strong software engineering foundation combined with deep infrastructure and systems thinking. We are looking for an engineer who can write high-quality production code, make sound architectural tradeoffs, and own platform capabilities end-to-end — not someone focused only on scripting, cloud configuration, or infrastructure tooling in isolation. You will collaborate closely with frontend, product, and AI/ML engineers to deliver reliable, secure, and scalable systems that align with Addepar’s standards of performance, resilience, and trust. Applicants must have legal authorization to work in the country where this role is based o

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Principal/MTS Photolithography Process Development Engineer in Micron's R&D Technology Development group, you will lead advanced photolithography process development for next-generation memory devices, driving innovation in process integration and technology transfer across Micron’s global manufacturing network. Key Responsibilities: Lead development and optimization of photolithography processes to achieve yield, quality, and performance targets for advanced technology nodes. Define and translate future device requirements into robust process specifications and equipment roadmaps. Drive early adoption of innovative process and equipment solutions to enhance margin and manufacturability. Identify and integrate disruptive technologies into production flows. Collaborate with global R&D teams and manufacturing sites to ensure seamless technology transfer. Partner with suppliers to accelerate breakthrough solutions and maintain strategic vendor relationships. Implement advanced process control methodologies using statistical tools, DOE, and simulation software. Conduct material evaluations, reticle/layout/OPC development, process window analysis, and overlay optimization. Generate intellectual pro

GAQ127R41 Location: San Francisco, CA (Hybrid) About the Role At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth. As a Senior Software Engineer (Infrastructure) , you will be a core technical contributor on the IT Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a senior member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimized, secure, and highly available. The Impact You Will Have Architect and Automate: Design and deploy production-grade infrastructure on AWS using Terraform or Pulumi. Orchestration: Manage and scale containerized workloads using AKS (Azure Kubernetes Service) or EKS, focusing on cluster security and resource efficiency. CI/CD Excellence: Architect robust deployment pipelines using GitHub Actions , managing both GitHub-hosted and self-hosted runners for specialized build requirements. Drive "Observable by Default" Frameworks: Create underlying infrastructure to ensure new internal applications are secure and have logging and metrics enabled by default Tooling, Scripting & AI : Build internal CLI tools,AI plugins and automation scripts to streamline developer workflows and enhance operational efficiency Partner Cross-Functionally: Collaborate with stakeholders across Security, Engineering, Infrastructure, and Support to deliver impactful projects with real business

About the Team DoorDash's Red Team exists to find critical attack paths before real adversaries do. We operate across the full adversary simulation lifecycle — scoping threat-informed engagements, executing realistic attack chains, and working with engineering and detection teams to close the gaps we uncover. Our attack surface spans a multi-sided marketplace: consumer and merchant data, payment systems, driver logistics, and the cloud-native infrastructure that ties it all together. We're looking for a leader who can take this team to the next level. About the Role We need an offensive security leader who stays close to the work. As the Engineering Manager of the Red Team, you'll inherit an existing team, level it up, expand headcount, and build the partnerships needed to turn red team findings into real engineering change. This is a player-coach role — you'll set strategic direction while staying hands-on with engagement scoping, tradecraft, and tooling decisions. You'll report to the Director of Global Security Services. You're excited about this opportunity because you will… Define the red team's strategic roadmap — engagement cadence, target prioritization, and capability development — aligned to DoorDash's threat landscape. Lead, coach, and grow a team of offensive security engineers. Hire intentionally to fill capability gaps as the team scales. Stay technically involved in engagement scoping, methodology, and tooling architecture. Guide adversary simulation, not just manage it. Drive remediation outcomes cross-functionally — partner with detection/response, AppSec, infrastructure security, and product engineering to make sure findings get fixed, not just documented. Build purple team workflows with detection engineering to validate and improve defensive coverage. Direct the development of red team infrastructure and custom tooling as production-quality software. Translate offensive findings into risk language that engineers, VPs, and non-technical stakeholde

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! The Role As a Senior Solutions Engineer, you will play a critical role at the intersection of data, technology, and customer impact. You will lead the design and delivery of scalable, reliable, and high-impact technical implementations for our enterprise clients. Working with diverse and complex datasets across industries, you’ll build and optimize end-to-end analytics solutions that directly influence how customers engage with the Forma platform. You’ll partner cross-functionally to identify opportunities, scope high-value solutions, and deliver outcomes that drive measurable business impact. This is a highly visible, client-facing role that combines hands-on technical expertise with strategic thinking. What You’ll Do Lead strategic technical engagements with enterprise clients, guiding solution design for complex business challenges using the Forma platform Design, build, and optimize scalable data architectures, pipelines, and workflows (e.g., PySpark, Databricks) Translate business requirements into robust, production-ready data solutions Design and deliver custom code and customer-specific integrations to extend the Forma platform for unique client requirements Partner with Professional Services to extract, transform, and analyze client data to optimize incentive compensation and sales performance strategies Collaborate with Product, Engineering, and Customer Success to deliver high-quality, actionable datasets and insights Drive improvements in data infrastructure, perfor

The Social Media Manager will be the driving force behind Crypto.com’s digital presence and community engagement. You will conceptualize, implement, and manage high-impact social strategies for our brands. You are someone who blends creativity with data-driven insights to identify and execute winning content strategies. Responsibilities Strategy & execution: Help inform and execute social growth strategy, ensuring all content is locally resonant and operationally sound. Operational excellence: Develop clear strategic guidelines for each social media channel to ensure consistency in content themes and clear audience targeting. Trend harvesting: Create up-to-trend initiatives and viral posts to ensure our products and community stories are marketed to the fullest extent. Cross-Functional collaboration: Work alongside XFN partners to ensure a unified brand voice and consistent quality. Data-Driven Optimization: Define social goals, OKRs, and success metrics; conduct data-driven post-mortems to continuously improve impact and ROI. Requirements At least 5 years of experience as a Social Media Manager, Specialist or similar role. AI-native with a deep understanding of the current AI tooling landscape. Strong project management skills with the ability to supervise multiple projects. Hands-on experience using social media management/posting tools. Has knowledge and experience of executing the following: content management, campaign management, video production, photoshoots, and social media management. Able to create, edit ; repurpose content. Knowledge of design tools is a plus. Has an interest for the financial services industry, including staying up to date on news, trends and all key happenings in the industry. Be a

We are fueled by a moral imperative to advance mankind, and it all begins with our people, our product, and our purpose. Passion isn’t something we turn on and off; it’s woven into everything we do. If you thrive in high-challenge environments, are inspired by exceptional teammates, and are driven to grow beyond what you thought possible, MX is where you belong. Come build the future with us. Join an award-winning company that isn’t just shaping the financial industry, but transforming it in ways that create meaningful, lasting impact for millions of people. Senior Cloud Platform Engineer At MX, we’re on a mission to empower the world to be financially strong. We power the financial experiences behind thousands of banks, credit unions, and fintechs, helping millions of people better understand, manage, and improve their financial lives. Our platform sits at the intersection of financial data, cloud-scale infrastructure, and trust, and it has to work, every time, at massive scale. We’re entering a pivotal phase of our technology evolution: moving from legacy on-prem infrastructure to a modern, cloud-native platform designed for resilience, security, and developer velocity. It’s a chance to build the next generation of MX’s platform thoughtfully, reliably, and with long-term impact in mind. If you enjoy working on complex systems, care deeply about uptime and reliability, and want your work to directly power the financial well-being of millions, this is where you’ll do the most meaningful work of your career. What You’ll Do Drive Cloud Migration: Drive the end-to-end migration of production workloads from on-premise data centers to GCP. Architect for Reliability: Design and implement production-grade Kubernetes environments and GCP architectures that prioritize 99.99+% availability. Operational Excellence: Improve incident triage and improved recovery timeby implementing cloud-aware diagnostics and automated recovery patterns. Empower Developers: Reduce friction in th

RDQ427R330 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 and AI infrastructure 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 solve 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. As a Sr. Engineering Manager on the Agentic Service Platform team, you will be responsible for building the foundational service frameworks and runtime infrastructure that power every microservice at Databricks. The team's goal is to make every service at Databricks fast, reliable, observable, and secure by default, without each team having to solve these problems independently. The team owns the core agentic service platform: multi-language service and RPC frameworks, core libraries, request context propagation, overload protection, and abstractions that extend full platform capabilities to any language. The team’s work is high-leverage - a single improvement we ship benefits thousands of production services and thousands of engineers across the company. The impact you will have: Lead and scale a multi-faceted team of talented engineers, which may include line managers and senior/staff ICs, building core agentic service platform infrastructure used by every service at Databricks. Own and set the multi-year technical strategy and organizational roadmap for a critical, cross-cutting domain within the agentic service platform. Drive and ensure the predictable, high-quality delivery of complex, multi-quarter/multi-year strategic initiatives, often spanning multiple teams and product areas. Champion the career development and

About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Infrastructure Engineering Program Manager, you will help turn complex infrastructure strategy into executable programs across electrical, mechanical, controls, network, hardware, construction, commissioning, deployment, and operations workstreams. You will partner with research, hardware engineering, data center engineering, site development, supply chain, security, EHS, finance, legal, operations, and external delivery partners to bring OpenAI's infrastructure vision to life. About the Role We are looking for an Engineering Program Manager (EPM) to lead assigned infrastructure programs focused on production and non-production network integration, controls coordination, and the design and deployment of data hall or whitespace facilities. The EPM will support functional Directly Responsible Individuals (DRIs) across network, controls, structural, electrical, and mechanical disciplines. Key responsibilities include coordinating assigned workstreams and program controls, maintaining risks and interfaces, and supporting readiness within the network and data hall deployment track. The ideal candidate thrives on bringing structure to complex environments characterized by ambiguous technical requirements, large partner ecosystems, tight deadlines, and high operational stakes. This individual must be adept at keeping teams aligned on decisions, risks, dependencies, schedules, and readiness criteria, and escalating gaps or decision points when needed. Candidates should have a proven track record of managing technically challenging engineering programs across major lifecycle phases, including design, validation, procurement, construction, c

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Design Engineer on the Design Acceleration team, you’ll be an individual contributor focused on evolving the systems and processes which power Roblox’s design organization through scalable systems, AI integrations, and custom tooling. Our team is responsible for building the orchestration layers and internal tools that empower designers and engineers to work faster and more cohesively. You will help build internal tools, like Figma plugins and design utilities, that empower designers and engineers to work faster and more cohesively. You have experience at the intersection of systems engineering and design tooling. You understand design systems, but your superpower is building the backend services, APIs, and data models that allow those systems to scale. Your work will help ensure our design tools, AI agents, and prototypes not only inspire—but deploy seamlessly into production environments. You will: Architect and build scalable backend services and APIs that connect our design tools to AI models and production environments (Roblox Studio). Develop agentic workflows and orchestration layers (such as Model Context Protocol servers) to enable natural language generation of UI components,