Sr Infrastructure Engineer Jobs

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior DevOps Engineer to join our team. This is a Hybrid role, reporting to the Senior Manager, Software Development Engineering in the Exposure Management & Security Operations department. As a Senior DevOps Engineer for the SecOps product group at Zscaler, you will own and evolve the cloud infrastructure, reliability, and deployment ecosystem across multiple SaaS cybersecurity products. In this position, you will drive a major impact on production maturity, scalability, developer productivity, and product integration as the organization continues to grow. What you’ll do (Role Expectations) Own and improve cloud infrastructure for scalable, reliable SaaS cybersecurity products Build and maintain IaC using Terraform and Terragrunt Manage production AWS EKS clusters, Kubernetes workloads, and cloud services Develop and optimize CI/CD pipelines with GitHub Actions and GitLab Partner with

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a SoC Design Verification Engineer to validate the System Management Controller (SMC) and enable seamless multi-chip integration. In this role, you will design and execute tests, build infrastructure, and debug issues across chiplet-based SoCs. You’ll have the opportunity to work with remote mentorship while contributing to the foundation of scalable multi-die systems. This role is hybrid, based out of Toronto, Ontario, Boston, MA or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Proficient in SystemVerilog, SV-UVM, Python, and C/C++ with strong verification skills. Experienced in writing test plans, building infrastructure, and debugging hardware/software flows. Comfortable working with remote mentorship and distributed teams. Familiar with AI-assisted tools like Copilot, Cursor, and Claude to accelerate verification. What We Need Develop and maintain SMC tests and supporting DV infrastructure. Write, execute, and track test plans for chiplet and multi-chip SoC designs. Use C/C++ to develop tests compiled, loaded, and executed directly on the DUT. Triage, analyze, and debug issues in clos

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. Sr. Gas Engineer - Generations and Distributions (Facilities Operations) Position: Gas Engineer – Facilities Operations Purpose Responsible for the safe, reliable, and efficient operation, maintenance, fixing, and continuous improvement of facility gas systems supporting manufacturing and utility operations. Key Responsibilities Operate, monitor, and maintain facility gas generation, storage, and distribution systems. Handle LN₂ (Liquid Nitrogen), N₂ (Nitrogen), CO₂ (Carbon Dioxide), O₂ (Oxygen), CDA (Clean Dry Air), Argon, Hydrogen, Helium, and other specialty gas systems . Ensure uninterrupted gas supply to production and facility operations. Perform preventive, predictive, and corrective maintenance of gas systems. Monitor gas purity, pressure, flow, and consumption. Fix gas system alarms, leaks, and operational issues. Support commissioning, qualification, and expansion of gas infrastructure. Ensure compliance with EHS, LOTO, PTW, and hazardous gas handling requirements. Maintain operational records, SOPs, calibration, and maintenance documentation. Person should have proficiency in using Gen AI Tools, Copilot, Copilot library & Agent bots. Qualifications B.E./B.Tech in Mechanical, Chemical, Instrumentati

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 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role Join Addepar’s innovative data and intelligence initiatives! We're seeking a Senior Software Engineer to craft and build a Data Analytics Platform, enabling our teams to make data driven decisions every day Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Build and scale a comprehensive platform, formalizing and optimizing data analytics across teams Collaborate with product managers and engineers to understand requirements, and architect solutions for sophisticated data and workflow challenges Use core Addepar systems like the Data Lakehouse to advise and strategize Ops and Data Governance infrastructure Simplify processes by promoting strategic data architecture and optimized workflows Who You Are 5+ years of relevant work experience that shows proficiency in platform development, particularly in enabling data engineering outcomes Must have strong experience with Java or Python Proficient in one or more cloud platforms (AWS, GCP, Azure), with hands-on experience in cloud infrastr

CSQ327R221 PLEASE NOTE: Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government Public Trust, Secret and/or Top Secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Public Trust or higher clearance are strongly encouraged to apply. About Databricks 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. The Role As a Sr. Forward Deployed Engineer (FDE), you will work with federal, state, and local government customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise

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. Sr. Gas Engineer (Facilities Operations) Position: Gas Engineer – Facilities Operations Purpose Responsible for the safe, reliable, and efficient operation, maintenance, troubleshooting, and continuous improvement of facility gas systems supporting manufacturing and utility operations. Key Responsibilities Operate, monitor, and maintain facility gas generation, storage, and distribution systems. Manage LN₂ (Liquid Nitrogen), N₂ (Nitrogen), CO₂ (Carbon Dioxide), O₂ (Oxygen), CDA (Clean Dry Air), Argon, Hydrogen, Helium, and other specialty gas systems . Ensure uninterrupted gas supply to production and facility operations. Perform preventive, predictive, and corrective maintenance of gas systems. Monitor gas purity, pressure, flow, and consumption. Troubleshoot gas system alarms, leaks, and operational issues. Support commissioning, qualification, and expansion of gas infrastructure. Ensure compliance with EHS, LOTO, PTW, and hazardous gas handling requirements. Maintain operational records, SOPs, calibration, and maintenance documentation. Person should have proficiency in using Gen AI Tools, Copilot, Copilot library & Agent bots. Qualifications B.E./B.Tech in Mechanical, Chemical, Instrumentation, or related Engineering discipline. Core Skills Industrial & Specialty Gas Operations Facilities & Utilities Management <li

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. Delphi is seeking a skilled Senior Data Engineer to design and optimize robust data pipelines and solutions using Azure, Databricks, and Microsoft Fabric. In this role, you will collaborate with cross-functional teams to deliver high-performance, scalable, and secure data solutions that drive strategic decision-making. This is a hands-on engineering role with opportunities to contribute to solution architecture, mentor junior team members, and work on impactful data initiatives in a fast-paced, innovative environment. What You’ll Do: • Build Scalable Data Solutions: Design, develop, and deploy efficient data pipelines using Azure, Databricks, and Fabric. • ETL/ELT Development: Build and manage data transformation processes to support reporting, analytics, and machine learning. • Data Integration: Architect seamless data flow across systems, ensuring integrity, availability, and accessibility.&n

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Are you passionate about building impactful products for sales and finance teams? Come join the IT Enterprise Systems team at Pinterest where you will be responsible for advancing our sales and marketing systems. What you’ll do: Design, build, and operate full‑stack applications and services on Pinterest’s enterprise infrastructure to support our Sales, Marketing, and Finance teams, from backend services and APIs through integrations and user‑facing workflows. Lead the technical design and implementation of GenAI/ML‑powered services and pipelines that automate and augment enterprise workflows (for example, summarizing sales interactions, enriching account data, or surfacing intelligent recommendations), including clear evaluation frameworks, observability, and validation guardrails. Own the end‑to‑end software development lifecycle for th

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. About Everpure Everpure is the pioneer of modern data platforms, delivering an Enterprise Data Cloud architecture that helps the world’s most demanding organizations modernize infrastructure, reduce risk, and create space for innovation. Focused on deep customer engagement, technical excellence, and cross-functional execution, we empower global enterprises to manage their data seamlessly across hybrid and cloud-native landscapes. The Role This is a high-impact presales engineering position within our elite Worldwide Strategics organization. In this role, you will focus exclusively on our Tier 1 Financial Services Institutions (FSI) across the UK and broader EMEA landscape. You will combine master-level technical depth with strategic account execution, serving as a trusted technical advisor to some of our most vital global accounts, including Barclays, HSBC, Lloyds, LSEG, RBS, and UBS. You will sit at the intersection of customer business priorities, complex enterprise architectures, and Everpure’s state-of-the-art data platform to drive meaningful business outcomes. Core Responsibilities Build Trusted Relationships: Develop deep, technical, and advisory relationships with customer executives, enterprise architects, platform teams, and operational stakeholders across major global FSI accounts. Lead Presales Engagement: Drive the technical sales cycle from initial discovery and problem diagnosis through architecture design,

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 Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects.

About the Team Our Business Intelligence team exists at the intersection of data and strategy, partnering closely with every department to ensure information is accessible, accurate, and actionable. We build the data products, pipelines, and infrastructure that power decision-making across the organization — from surfacing new business insights to moving data between systems with precision and reliability. As part of the DoorDash family, we are deeply focused on integrating SevenRooms' data ecosystem into the broader organization, creating connections that compound in value over time. We are a collaborative, business-first team that believes great data infrastructure is foundational to every meaningful outcome the company achieves. About the Role In this role, you will sit at a strategic vertex within our technology organization, owning critical pieces of infrastructure that the entire business depends on. You will hit the ground running — establishing new API connections to external data sources, modeling and surfacing data to key stakeholders, and architecting automated AI flows that expand productivity across teams. A significant focus will be on GTM-aligned data initiatives, as well as building the underlying systems that enable AI capabilities within our database and business platforms. You will also play a vital integration role, marrying data between SevenRooms and DoorDash in ways that have yet to be fully realized, making this both a highly technical and highly strategic position. Within 6 to 12 months, you will be expected to have deep familiarity across our full data stack — including DBT, Looker, BigQuery, Fivetran, Census, Cloud Functions, Salesforce, and NetSuite — independently driving initiatives across multiple departments and establishing governance standards that ensure pipeline accuracy and trust at scale. You will report into the Manager of Business Intelligence on our Data & Analytics Team under the Strategy & Operations - In-Store orga

Sr. Security Engineer, Corporate Security At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. Lyft’s engineering team is growing rapidly, and we are looking for Security Engineers to help us scale. Come be part of a new team at Lyft focused on enabling and empowering engineering teams to deliver at scale. Our drivers and passengers entrust Lyft with their personal information and travel details to get where they're going and expect us to keep that data safe. Lyft's security team leads efforts across the company to ensure our systems are secure and worthy of our users' trust. The security team designs and builds Lyft's security architecture, consult with other teams as they build and launch new products and features, proactively plans for the unexpected, and responds to incidents that occur. Our work affects the entire company and takes place at all levels of the stack, from infrastructure to web application security, as well as mobile apps, IT, and autonomous vehicles. We try to approach security from a software engineering standpoint. We believe in scaling security through automation and tooling and we ship frequently. Check out our blog posts at https://eng.lyft.com/tagged/security to learn more about some of the things we’ve built. We're looking for an engineer to own the security of the systems Lyft employees rely on every day: identity, endpoints, and the data that moves between them. Corporate Security sits where security meets IT, so the work spans detection engineering, platform operations, and the automation that ties them together. We'd rather write code than file tickets, and we measure ourselves on control coverage and time-to-remediate. If you want real ownership over how security works at company scale, this is that role. Responsibiliti

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Automation is the key to creating highly reliable and secure large-scale software systems. Are you someone who engineers solutions to problems rather than simply fixing the same thing over and over again? Can you protect Smartsheet against attackers? We are looking for a Senior DevSecOps Engineer to join our global Security Operations team. In this critical role, you will be a leader in maturing our security and reliability posture by treating both as software engineering challenges. You will engineer and operate a highly reliable, scalable, and defensible production environment, directly impacting our ability to deliver a world-class service to our customers 24/7. This is a unique opportunity to blend deep expertise in Site Reliability Engineering (SRE) and modern Security Operations, working at the intersection of infrastructure, automation, and security to build a platform that is resilient and secure by design. You Will: Engineer Secure and Resilient Infrastructure: Design, build, maintain, and improve secure, scalable, and highly available infrastructure in our multi-cloud environment (primarily AWS) using Infrastructure as Code (IaC) principles with tools like Terraform, Kubernetes, and Helm. Automate Proactive Security: Engineer an

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sr. Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in Santa Clara, CA, reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler’s high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You’ll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clust

RDQ327R179 While candidates in the listed location(s) are encouraged for this role, candidates in other (US) locations will be considered. About the Team The Agentic Security Engineering team is a horizontal, shared services engineering team that enables every Databricks security function AI-native. We enable building the AI agents, "personas," and own the shared platform that security teams across the org (Detection & Response, Threat Intelligence, Vulnerability & Product Security, Red Team, GRC, and Continuous Monitoring) build on to operate at machine speed, safely and reliably. We leverage AI to transform how security is done. The Role As a Senior Staff Security Software Engineer on the Agentic Security Engineering team, you will be a senior technical authority and architect for Databricks’ shared Security AI platform. You will define the platform architecture, technical standards, and multi-year engineering direction that allow security teams to build, deploy, and operate governed AI personas safely at scale. Your work will span secure agent identity, isolation and sandboxing, policy enforcement, auditability, observability, evaluation, orchestration, and reliable integration with Databricks and security infrastructure. You will operate across organizational boundaries, aligning engineering and security leaders on platform architecture, driving adoption of common patterns, and resolving complex technical problems that affect multiple security functions. You will influence the quality, safety, reliability, and velocity of the broader Security AI ecosystem without owning the domain logic or business outcomes of every individual persona. The Impact You Will Have Shared Security AI Platform Architecture Define and evolve the architecture for the shared Security AI platform and its paved road for governed agentic workflows. Establish reusable patterns for agent identity, least-privilege access, sandboxing, egress control, secret isolation, policy enforcement