Senior Software Engineer Database Engineering Jobs

Bits Code is Datadog’s cloud coding agent which fixes the problems that Datadog surfaces, as automatically as possible. You’ll shape the architecture, tools, processes, and culture that keep security risk very low while working hands-on with the team to ship product features quickly. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: Own the security architecture and implementation of Bits Code from early design through production operation. Work with engineering, product, infrastructure, and security teams to identify risks and shape the product. Build threat models for new and existing agent risks such as prompt injection. Help the team ship secure software fast by writing and maintaining core libraries, and guiding processes and culture. Work with our sandbox teams on how Bits Code executes untrusted workloads. Be on call. Datadog culture is that you build it, you run it. Who You Are: You have a BS/MS/PhD in Computer Science, Engineering, or a related scientific field, or at least 5+ years of professional experience, with a background in product security, application security, or security architecture. You have experience securing systems that operate across complex trust boundaries. You have experience building and operating full stack systems at scale. You are familiar with security risks in agentic systems and have experience designing against them. You make pragmatic security trade-offs. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Skilled, knowledgeable, and kind teammates to work with a

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: As a Senior Staff Security Engineer, you will be one of Ripple's most senior technical security practitioners, operating at the intersection of application security, cloud infrastructure security, and secure software delivery. This role exists to raise the technical bar and extend Ripple's security posture as the engineering organization scales across new products, new architectures, and an increasingly sophisticated threat landscape. You will serve as the dedicated security engineering partner for Ripple Treasury. You will lead the technical direction for product and infrastructure security, partnering with Ripple Treasury Product and Engineering teams to drive secure design, threat modeling, vulnerability management, and cloud security architecture. WHAT YOU’LL DO: Serve as the dedicated Security Engineering partner for Ripple Treasury BU, owning the security posture of the Treasury solution and infrastructure environment from assessment through remediation and ongoing maturity improvement. Lead threat modeling and security architecture reviews across Treasury offerings. Own the secure software development lifecycle for your product surface area, defining security guardrails, CI/CD integrations, and developer guidance that make secure by default a practical reality. Drive the cloud security architecture for Treasury across Azure and AWS, inclu

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: As a Senior Staff Security Engineer, you will be one of Ripple's most senior technical security practitioners, operating at the intersection of application security, cloud infrastructure security, and secure software delivery. This role exists to raise the technical bar and extend Ripple's security posture as the engineering organization scales across new products, new architectures, and an increasingly sophisticated threat landscape. You will serve as the dedicated security engineering partner for Ripple Treasury. You will lead the technical direction for product and infrastructure security, partnering with Ripple Treasury Product and Engineering teams to drive secure design, threat modeling, vulnerability management, and cloud security architecture. WHAT YOU’LL DO: Serve as the dedicated Security Engineering partner for Ripple Treasury BU, owning the security posture of the Treasury solution and infrastructure environment from assessment through remediation and ongoing maturity improvement. Lead threat modeling and security architecture reviews across Treasury offerings. Own the secure software development lifecycle for your product surface area, defining security guardrails, CI/CD integrations, and developer guidance that make secure by default a practical reality. Drive the cloud security architecture for Treasury across Azure and AWS, inclu

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team The Systems Engineering team is responsible for the requirements, architecture, and validation of autonomous driving capabilities across engineering disciplines. This includes designing performance metrics, evaluation methods, and criteria for success, which the team then drives cross-functional via requirement definition and system validation. Systems Engineering works at the intersection of hardware, software, and robot operations, with a deep understanding of technologies in all three. We are a small, high-impact team that sets the checkpoints for autonomy deployment. About the Role The Senior Systems Test Engineer (STE), Autonomy Behavior role is responsible for transforming Nuro's Verification & Validation (V&V) ecosystem. You will focus on the technical implementation, standardization, and automation of V&V processes. This involves creating a unified, automated architecture for validation , designing and

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron, our Technology Development team sits at the center of innovation. We build advanced modeling and AI solutions that shape how memory and storage technologies are designed, built, and scaled. Working at the intersection of physics, data, and engineering, we turn complex problems into practical breakthroughs that matter! This role is critical to how we accelerate semiconductor technology development using advanced AI and physics-based modeling. You will lead the design and deployment of agentic and LLM-powered solutions that directly influence process technology, packaging, and early manufacturing decisions. If you enjoy driving hard problems end to end and collaborating across hardware and software teams, this role offers real impact and visibility. Note: We are hiring for more than one role spanning Senior/Staff/Principal/Technical Staff Engineer. Responsibilities: Design and deploy physics-based, ML, and LLM-powered modeling solutions for semiconductor process, package, and manufacturing workflows Architect agentic AI systems that integrate with modeling tools, design automation environments, and fab/test platforms to enable digital twin development Define and promote best known methods for deploying LLMs and agentic systems reliably in production environments Evaluate and improve model performance using methods such as structured benchmarking, prompt tuning, RLHF, and feedback loops Translate modeling results into clear insights through data storytelling and visualiza

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron, our Technology Development team sits at the center of innovation. We build advanced modeling and AI solutions that shape how memory and storage technologies are designed, built, and scaled. Working at the intersection of physics, data, and engineering, we turn complex problems into practical breakthroughs that matter! This role is critical to how we accelerate semiconductor technology development using advanced AI and physics-based modeling. You will lead the design and deployment of agentic and LLM-powered solutions that directly influence process technology, packaging, and early manufacturing decisions. If you enjoy driving hard problems end to end and collaborating across hardware and software teams, this role offers real impact and visibility. Note: We are hiring for more than one role spanning Senior/Staff/Principal/Technical Staff Engineer. Responsibilities: Design and deploy physics-based, ML, and LLM-powered modeling solutions for semiconductor process, package, and manufacturing workflows Architect agentic AI systems that integrate with modeling tools, design automation environments, and fab/test platforms to enable digital twin development Define and promote best known methods for deploying LLMs and agentic systems reliably in production environments Evaluate and improve model performance using methods such as structured benchmarking, prompt tuning

Zoox’s System Design and Mission Assurance (SDMA) team constructs the Safety Case and validates that our vehicles are safe for autonomous driving. SDMA enables Zoox to rapidly iterate and safely expand capabilities through trustworthy, innovative, and pragmatic safety engineering. As a Platform System Vehicle Test Engineer at Zoox, you will be working as part of a multidisciplinary team to develop and test systems that enable and support our robotaxi, ensuring the safety and performance of the closed-loop drive system. The Platform System Vehicle Test Engineer will have strong technical skills, and a deep understanding of functional safety technical solutions and verification techniques based on ISO 26262 or similar standards. You will be responsible for developing and executing vehicle-level testing for autonomous safety-critical systems. In this role, you will: Develop and execute the technical and logistical planning of vehicle tests including cross-functional coordination with other teams such as systems requirements, firmware, software motion controls, vehicle engineering, and operations Interpret complex test data, and strategize the optimal balance between physical vehicle testing and simulation to ensure comprehensive test coverage Analyze system requirements to understand the safety concept Maintain traceability between requirements, test cases, and results Design, develop, and operate the Zoox Robot, test equipment, and instrumentation systems Troubleshoot and debug issues in the field, and trace failures to correct subsystems Perform test data analysis and report test results. Define and develop automated data extraction tools to streamline and continuously improve analysis and reporting. Qualifications: B.S. or higher degree in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, or Systems Engineering 6+ years of test engineering experience in the automobile, robot

Senior Container Security Engineer – CVE Remediation & Image Hardening About the Role We are looking for a hands-on Senior Container Security Engineer to lead vulnerability remediation and image hardening across Linux-based container environments. This role focuses on deep operating system and container security engineering rather than simple vulnerability scanning. You will analyze, remediate, rebuild, harden, and continuously optimize container images used in modern cloud-native platforms. You will work closely with platform engineering, DevOps, infrastructure, and security teams to build automated remediation pipelines, reduce the attack surface, and deliver production-ready hardened images. What You’ll Do - Own end-to-end CVE remediation across Linux-based container images. - Analyze vulnerabilities across OS packages, libraries, runtimes, and dependencies. - Patch, rebuild, validate, and maintain hardened container images at scale. - Reduce attack surface by removing unnecessary packages, binaries, services, and dependencies. - Build and scale automated remediation pipelines for continuous image patching. - Improve image security posture while minimizing operational disruption. - Generate, validate, and maintain SBOMs to support supply chain visibility and compliance. - Integrate remediation workflows into CI/CD and GitOps pipelines. - Optimize image size, startup performance, and operational efficiency. - Research emerging Linux, container, Kubernetes, and software supply chain threats. - Troubleshoot complex dependency, package compatibility, and runtime security issues. - Help define internal standards for hardened images and secure software delivery. What You Bring - 5+ years of experience in Linux systems engineering, platform engineering, DevSecOps, security engineering, or SRE. - Deep understanding of Linux distributions (Debian, Ubuntu, Alpine, RHEL). - Strong hands-on experience with Docker, Kubernetes, and

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale. The Opportunity The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments. As a Senior Frontier Agent Engineer (Forward Deployed Engineering) , you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software. Unlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI. If you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in. What You'll Build Enterprise AI Systems Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems. Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workf

We are seeking a highly versatile Sensor & Hardware Safety Engineer to bridge the gap between rigorous hardware reliability and real-world system behavior. In this hybrid role, you will be responsible for 50% hardware-level Functional Safety (ISO 26262) and 50% system-level sensor safety (SOTIF / ISO 21448). You will ensure that our custom hardware meets strict ASIL compliance while guaranteeing our advanced sensor suites (Cameras, LiDAR, Radar) operate safely through perception edge-cases and environmental challenges. In This Role, You Will: Evaluate supplier technical documentation for advanced imagers, microprocessors, and SoCs to verify SEooC and AoU alignment. Assess vendor deliverables to guarantee ASIL standards are met for firmware/software maturity and diagnostic systems. Execute board-level FMEDA for sophisticated integrated circuits, including FPGAs and microcontrollers. Partner with Software, FW, and EE departments to define architectural requirements that enhance diagnostic monitoring. Support the V&V team in developing SOTIF-compliant simulation and physical test protocols for edge-case scenarios. Qualifications Minimum of a B.S. in Automotive, Robotics, Aerospace, or Electrical Engineering. At least 3 years of professional experience involving board bring-up, silicon validation, or hardware design. Understanding of SOTIF and ISO 26262 safety protocols. Strong interpersonal and professional communication capabilities within a collaborative environment Bonus Qualifications ISO 26262 professional certification (CFSP or CFSE). Background in automotive-grade hardware validation and design. Experience utilizing traceability platforms like JAMA or Polarion. Familiarity with industry standards including IEC 61508, DO-254, and DO-178C during board bring-up.

About Zinnov Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware. At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity. Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations. About the Role As a Full Stack Engineer , you will build the product experience—dashboards, chat interface, persona-specific layouts, and the API layer that connects UI to agent + data layers. You will also own internal workflows that enable finance sign-off and platform governance. What You’ll Do UI & Product Experience Build theNextJSweb app: dashboards, chat interface, and persona-based views. Implement data-heavy UI patterns: tables, drilldowns, charts, exports. Ensure accessibility, usability, and consistent experience across personas. Backend-for-Frontend (BFF) Build andmaintaina NestJS BFF layer connecting UI to agent/data services. Treat BFF APIs as versioned platform contracts—manage changes cleanly. A

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. We’re looking for a Senior AI/Computer Vision Engineer to build AI systems end to end, from defining the problem and data requirements to training models, validating them, deploying on edge devices, and integrating them into C++ pipelines. This is a hands-on engineering role for someone who can take applied AI projects from concept to production and is comfortable working across modeling, evaluation, deployment, and system integration. Responsibilities: Own AI and computer vision projects end to end, from technical definition to production deployment; Translate product needs into system, data, model, and evaluation requirements; Define data collection, annotation, and validation strategies; Train and optimize deep learning models for real-world vision and multimodal applications; Build testing, benchmarking, and failure analysis workflows; Optimize models for edge devices with attention to latency, memory, throughput, and accuracy tradeoffs; Integrate models into production inference systems, including C++ edge pipelines; Work closely with software and product teams to ship reliable AI features at scale. Requirements: MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience; Strong Python skills; Solid experience with PyTorch, TensorFlow, or similar frameworks; 4+ years of expe

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. We’re looking for a Senior AI/Computer Vision Engineer to build AI systems end to end, from defining the problem and data requirements to training models, validating them, deploying on edge devices, and integrating them into C++ pipelines. This is a hands-on engineering role for someone who can take applied AI projects from concept to production and is comfortable working across modeling, evaluation, deployment, and system integration. Responsibilities: Own AI and computer vision projects end to end, from technical definition to production deployment; Translate product needs into system, data, model, and evaluation requirements; Define data collection, annotation, and validation strategies; Train and optimize deep learning models for real-world vision and multimodal applications; Build testing, benchmarking, and failure analysis workflows; Optimize models for edge devices with attention to latency, memory, throughput, and accuracy tradeoffs; Integrate models into production inference systems, including C++ edge pipelines; Work closely with software and product teams to ship reliable AI features at scale. Requirements: MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience; Strong Python skills; Solid experience with PyTorch, TensorFlow, or similar frameworks; 4+ years of expe

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Service Reliability Engineer As a part of Sony Interactive Entertainment, the Gaming, Developer & Future Technology Group ( GDFT ) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond. Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring operational readiness and stability. What you'll be doing: Taking a leadership role in ongoing improvements in Reliability and Scalability Work closely with SRE Management to define KPIs, processes and drive continuous improveme

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Key Responsibilities: Contribute to the development of new product opportunities by assisting with the overall Verification Activities of DRAM Design Actively leverage AI‑based tools, agentic workflows, and automation frameworks to: Accelerate verification cycle time Assist in Test-Case/TB and various other components required for DRAM Design Verification Improve debug efficiency across simulation and silicon learning loops Provide verification support to design projects by simulating, analyzing, and debugging pre-silicon block level/full chip designs. Develop Test cases/Stimulus to increase the functional coverage for all DRAM and emerging memory architectures and features Develop and maintain test benches / test vectors using simulation tools and run regressions for coverage analysis and improvements using Agentic AI Flow Hands on experience in SV, UVM based Verification. Good scripting skills using perl, python is a plus Good understanding of digital / mixed signal circuits and experience in Digital /Mixed signal Verification. Understand the usage of industry standard tools like Virtuoso, Xcellium, Simvision, vsim, Waveview, Finseim, Hspice and Micron-specific simulators Collaborate with CAD, EDA, and software teams to integrate AI‑driven flows into simulation, verification, and design sign‑off environments and contribute to cross-group communication to work towards standardization and group success About