P-375 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 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. As a Staff Software Engineer working on the Data Platform team, you will leverage bleeding-edge AI developer tools and techniques to help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, and many more. You will define the future of a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, and data consumption layers, just to name a few. The impact you will have: Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protection and ease of shareability for the Data Intelligence Platform as we transition to a public company. Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies, and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling. Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product. Build reliable data pipelines and solve data p
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About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Software engineers (Ad Cloud Bidding) at Appier Tokyo office build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Staff Software Engineer , you will play a critical role in designing and building scalable and performant backend architecture, owning and driving the technical roadmap for sizable projects or services. You will also take responsibility for service operations – ensuring reliability, availability, and efficient deployment of large-scale distributed systems. Responsibilities Engage in the design of large-scale backend systems and distributed services Contribute to technical roadmap and planning Collaborate with cross-functional teams to deliver robust and high-performance systems Troubleshoot production issues and contribute to root cause analysis Ensure high reliability through best practices in service operation, monitoring, and deployment Participate in on-call rotations and lead incident response when required About You [Minimum qualifications] 8+ years of experience in software development Proficient in modern C++ programming (C++11 and later) Familiar with Unix/Linux environments Solid understanding of system programming Experience in developing low-latency (millisecond-scale) and high-throughput (>1K QPS per machine) systems Experience in service optimization and performance tuning Strong sense of ownership and good problem-solving skills [Preferred qualifications] Experience in modern build systems Experience in operation automation tools Ex
About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Software engineers (Ad Cloud Bidding) at Appier Tokyo office build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer , you will contribute to building scalable backend systems while also participating in service operation activities, including deployment, monitoring, and incident response, to ensure reliable and high-performing distributed services. Responsibilities Design, implement, and optimize backend services Participate in code reviews and contribute to system design discussions Collaborate with cross-functional teams to deliver robust and high-performance systems Troubleshoot production issues and contribute to root cause analysis Support system deployment, monitoring, and maintenance in production environments Participate in on-call rotations and lead incident response when required About You [Minimum qualifications] BS/MS degree in Computer Science or related fields 3+ years of experience in software development Experience in modern C++ programming (C++11 and later) Familiar with Unix/Linux environments Good interpersonal and problem-solving skills and strong sense of ownership [Preferred qualifications] Good understanding of system programming Experience in developing low-latency (millisecond-scale) and high-throughput (>1K QPS per machine) systems Experience in service optimization and performance tuning Experience in modern build systems Experience in operation automation tools [Language] Fluent in English or Chinese. Open to
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. Responsibilities Validate system functionality, design, compatibility, performance, and stress capacity; capable of completing the verification independently Execute switch hardware test items (4 Corner / Power Cycling / PSE Conformance / Eload testing / 2nd Source Test). Analyze test data, identify issues, and recommend improvements. Optimize testing processes through improved methodologies, tools, and test program development. Establish and maintain test environments. Requirement Responsible for hardware system function testing (HW System Test) of Enterprise & Data Center Switches/Gateways. Proficient in using a multimeter, thermal chamber, data logger, and EMC compliance equipment. Experience in hardware or design quality testing. Experience in environmental stress testing, particularly thermal and reliability systems. Bachelor's degree in Electrical Engineering, Computer Science, Industrial Engineering, or a related field, with knowledge of networking, radio, and Linux. Preferred Qualifications Experience in data center Ethernet switch setup, full-load stress testing, and system validation (100G/200G/400G/800G). Familiarity with multimeters, oscilloscopes, spectrum analyzers, thermal chambers, power supplies, Ethernet traffic analyzers, and electronic loads. Experience in PoE testing, ESD, thermal testing, power consumpti
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Overview of the Role GitLab.com is being rebuilt as a horizontally scalable cluster. Two primitives make that possible: Organizations , the tenant boundary that makes a customer's data a single addressable, portable unit, and Cells , independent GitLab instances that host those Organizations and can be provisioned on demand across clouds and regions. The target is a 100x increase in headroom for GitLab.com, delivered without customers ever seeing a cell. Same domain, same URLs, same product — a substrate underneath that scales by adding capacity rather than by negotiating with a single database. The boundary we are building
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. Role Summary We are looking for a Cloud Service Developer with strong experience in AWS and Node.js to join our backend team. In this role, you will be responsible for designing, developing, and maintaining cloud-based services that power our large-scale applications. You will work closely with product managers, frontend developers, and DevOps engineers to build secure, scalable, and reliable backend systems. Experience in integrating payment systems like Stripe will be a strong plus. Responsibilities (What he/she will do after joining UI) Design, implement, and maintain cloud-native backend services on AWS. Develop high-quality, scalable, and maintainable APIs using Node.js. Collaborate with cross-functional teams to define and deliver technical solutions aligned with product goals. Ensure cloud service reliability, scalability, and security through monitoring, alerting, and automation. Write clean, testable code and participate in code reviews. Contribute to architecture design discussions and continuously improve service performance and cost efficiency. (Bonus) Integrate and manage payment processing systems (e.g., Stripe). Requirement (Must-Haves) Bachelor’s degree in Computer Science, Software Engineering, or a related field. 3+ years of experience developing backend services or cloud applications. Strong profi
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. Responsibilities (What he/she will do after joining UI) Design, implement, and maintain cloud-based analytics and data processing services using Golang and AWS technologies. Develop ETL (Extract, Transform, Load) pipelines to process structured and unstructured data at scale. Build scalable, real-time, and batch data ingestion and transformation systems. Collaborate with data engineers, backend developers, and product teams to design data models and analytical workflows. Optimize data processing pipelines for performance, cost, and reliability. Ensure data accuracy, integrity, and security throughout the entire lifecycle. Monitor data pipelines and cloud infrastructure, resolving incidents and continuously improving observability. Contribute to architectural decisions and promote engineering best practices in analytics system design. Requirement (Must-Haves) 3+ years of experience in cloud/backend development with Golang or Python. Hands-on experience building and maintaining ETL pipelines or data processing workflows in production. Strong familiarity with AWS services such as Lambda, S3, Kinesis, Glue, Athena, and RDS. Solid understanding of distributed systems, data streaming, and cloud-native architecture. Proficient in RESTful API development and microservices design. Experience with SQL and schema design for analytics and re
Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our Team Do you want to be an Information Security Lead at GoDaddy? GoDaddy’s Security organization is looking for a Cloud Security Engineer. We work out large-scale and cross-company security challenges while ensuring that partnership with the development and operational communities remains front of mind. At GoDaddy, Security Engineers apply their strong hands-on technical skills to craft scalable solutions for multiple problems. You must communicate with GoDaddy Engineering teams, perform security assessments, prioritize security risks, and design. We, as a team, implement high-quality security engineering solutions! What you'll get to do... The Senior Cloud Network Security Engineer will play a crucial role in designing, building, and securing large-scale, distributed cloud environments that support GoDaddy Services. This role operates at the intersection of cloud infrastructure, security architecture, and engineering execution. The successful candidate will collaborate closely with service teams, security leaders, and compliance partners to embed security-by-design principles into cloud services and internal platforms. This position requires advanced technical expertise in cloud-native security controls. It also needs a strong understanding of threat models in hyperscale environments. Additionally, it involves influencing architecture decisions across multiple teams. The role demands hands-on engineering, good judgment in ambiguous situations, and proficiency at translating security requirements into scalable, automated solutions. Bui
NVIDIA's deep learning platforms are at the forefront of innovation, profoundly impacting various fields and widely adopted by leading academic institutions, startups, and major Internet companies globally. We're seeking an accomplished and highly skilled Technical Program Manager (TPM) to join our NVIDIA DGX Cloud team. This is a great opportunity for a passionate, motivated, and creative individual to deliver outstanding value to our DGX Cloud customers! We are specifically looking for a TPM with extensive experience in CSP/NCP cloud environments, on-prem infrastructure bring-up, and hardware automation. What you'll be doing: As an Infrastructure Technical Program Manager, you'll be a key partner to our external NCP partners as well as key internal teams (Software Engineering, Production Engineering/SRE, and Data Center Operations) and their leadership, driving critical programs related to on-prem infrastructure engineering, bare-metal bring-up, and automation. You'll play a pivotal role in developing and maturing foundational capabilities and processes, spanning critical areas such as hardware validation, remote fleet bootstrapping, operational workflows, and cluster/capacity bring-up. This is a dynamic, fast-paced environment where TPMs are motivated to apply versatile abilities to a range of high-impact programs across the infrastructure lifecycle. Fleet Bring-Up, Automation: Coordinate the end-to-end remote bootstrapping, active bring-up, and validation of large server fleets to take clusters from physical rack-and-stack to a customer-ready state. Drive the adoption of automation tooling for fleet maintenance, node security, and burn-in, while establishing formalized workflows to rapidly triage and resolve day-one deployment issues. NVIDIA Software Integration & Capacity Operations: Partner closely with internal NVIDIA SW teams to integrate and deploy DSX and other c
P-931 At Databricks, we are passionate about helping data teams 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. At Databricks, the Compute Infrastructure organization builds and operates the foundation that runs all Data, AI and stateful workloads across all major clouds. Our platform launches tens of millions of VMs per day, operates thousands of Kubernetes clusters, and must deliver extreme elasticity, reliability and cost efficiency. We are looking for an Engineering Manager to lead a team responsible for critical components of this platform. Your work will directly influence product velocity, customer experience, and the company’s ability to scale. The impact you will have: Own and evolve the compute platform to support all Databricks workloads , enabling engineers to build world-class products with high velocity and best-in-class performance. Hire exceptional engineers and invest in their growth through coaching, feedback, and career development. Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset . Partner with engineering and product leadership to define long-term strategy and roadmaps. Lead cross-team initiatives that span product and infrastructure surface areas. Influence architectural decisions beyond your immediate team. What we look for: 10+ years of experience building and operating large-scale distributed systems , including strong prac
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for an Engineering Manager to lead and scale our Data Warehouse & Streaming Infra team. You'll own the data platform that Anthropic runs on: the foundation every team relies on to understand the business, make decisions, and keep our systems safe. Every org is your customer. As data volumes grow rapidly, and more of it arrives as real-time streams across multiple clouds, you'll help your team make that stack faster, more robust, and ready for what's next, and you'll shape the long-term vision for how data flows through one of the fastest-growing companies ever. This is a high-visibility, high-impact role that calls for both deep technical judgment and strong people skills. You'll partner with leaders across finance, data science, product, engineering, and research to uncover and meet their needs, and you'll grow a small, strong core into a large team. We're looking for someone who is comfortable with ambiguity, energized by both business and technical impact, and cares deeply about people. Responsibilities Lead, grow, and mentor the Data Warehouse & Streaming Infra team, fostering a culture of ownership, collaboration, engineering excellence, and execution at speed Own Anthropic's data warehousing, streaming, and processing capabilities end-to-end: "wow" user experience, ops, reliability/security/governance/cost, long-term strategic vision Support the team to scale and evolve our data ingestion, event streaming, change data capture, storage, orchestration, compute, query, and reporting systems at pace with business growth Collaborate to define and execute the roadmap for Anthropic's batch an
A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Lead a team of network engineers who design, build, and operate resilient infrastructure that supports critical investment, trading, and business applications Shape the network engineering roadmap by translating business priorities into scalable architecture, modernization plans, and measurable delivery outcomes Design secure, high-performance network solutions across office, data center, and cloud-based environments, with a focus on availability and latency Drive automation, observability, and infrastructure as code practices that improve reliability, accelerate delivery, and reduce operational risk Partner with Technology, Security, and business teams to deliver networking capabilities for new applications, locations, and strategic initiatives Oversee incident response, root cause analysis, and problem management to restore service quickly and prevent recurring issues Guide change management for business-critical upgrades, migrations, and maintena
Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Distinguished Cloud Architect leads centralized Engineering practices focused on delivering platforms that enable D&B to develop, deploy, and secure cloud-based solutions. This role is vital to furthering Dun & Bradstreet’s position as an industry leader providing trusted, grounded, reliable data, client, and AI enabling services. The Cloud Architect collaborates with various development and engineering teams to create reference architectures, enterprise standards, and reusable content to aid in the deployment of services and solutions leveraged by Dun & Bradstreet’s global platforms. Essential Responsibilities: Lead and drive delivery of the centralized solutions for the most critical and strategic solutions in D&B, providing reference architectures and baseline implementations where appropriate. Develop and evangelize standards, guardrails, and implementation architectures for re-use across the enterprise. Provide leadership and guidance on implementing secure abstraction-layer and Infrastructure-as-Code solutions that enable the development and SRE teams to rapidly deploy solutions in the cloud. Create, plan, and communicate roadmaps with management, stakeholders, and the team. Act as a consultant to development groups to modernize existing business applications and facilitate solutions to meet business requirements, including working with AI-driven solutions. Mentor engineers and architects a
As the Engineering Manager for Commercial Audit, you will lead a high-performing team responsible for scaling Datadog’s security and compliance posture through automation, tooling, and engineering excellence. Our GRC (Governance, Risk, and Compliance) function is a critical partner to the broader Security and Engineering organizations, ensuring that Datadog not only meets rigorous global regulatory standards but does so in a way that is efficient, scalable, and integrated into our cloud-native infrastructure. You will manage a team of engineers and analysts who are transitioning to a GRC engineering direction to treat compliance as a software problem, leveraging AI, custom tooling, CI/CD pipelines, and cloud-native services to turn complex regulatory requirements into actionable, automated controls. You will lead the strategy, roadmap, and execution of Datadog’s Commercial Audit initiatives. This is a high-impact leadership role where you will grow a team of engineers and analysts responsible for directly maintaining our compliance programs and related audits (e.g., SOC2, PCI, HIPAA, ISO) while looking to improve efficiency and effectiveness through platforms and tooling. You will act as a bridge between technical engineering, legal, and compliance, enabling the organization to move fast while maintaining a secure and compliant environment. You will champion a culture of "compliance-as-code," identifying opportunities to automate evidence collection, streamline control testing, and reduce manual toil for both your team and our partner engineering teams. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead the strategy, roadmap, and execution of Datadog’s commercial security compliance efforts, shifting from manual audit processes to automated, scalable
Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Engineering Manager to lead a team of software engineers building core products and infrastructure for these customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. You’ll play a critical role in delivering backend systems, distributed platforms, and ML tooling used by our public sector partners—all while helping your team grow and execute. You’ll split your time between technical planning and execution (50%) and people management and team development (50%) , leading a team of 6-8 engineers. You’ll work cross-functionally with product, security, and customer-facing teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Must be able to commute to office three times per week You will: Recruit a high-performing engineering team. Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects. Collaborating with cross-functional teams to define, design, and execute strategic roadmap. Navigate and deliver outcomes while navigating through complex public sector compliance requirements and frameworks. Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions Participate actively in customer engagements, working closely with sta
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