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Location: Bangalore At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary We are seeking a Sr SDE – CI/CD & Developer Productivity Engineering to strengthen engineering delivery pipelines, code quality automation, and developer workflows across the Reltio platform. This is a hands-on engineering role focused on Bitbucket, Jenkins, and Argo CD; consistent SonarQube quality and security checks in CI and local development; and reliable Codecov-based code coverage reporting and governance. The engineer will improve pipeline speed, stability, maintainability, and the clarity of quality gates across teams. The ideal candidate has 6–9 years of software engineering, build/release engineering, DevOps, or developer tooling experience and can collaborate with development, QE, DevOps, and security teams in a Kubernetes-based, multi-cloud environment (AWS, Azure, GCP). Job Duties and Responsibilities CI/CD Pipeline Engineering Design, implement, troubleshoot, and optimize CI/CD workflows using Bitbucket, Jenkins, and Argo CD. Improve pull-request validation, build performance, deployment reliability, pipeline observability, and failure triage. Build reusable pipeline templates, shared libraries, and automation to standardize engineering workflows across repositories. Support GitOps-based Kubernetes deployments, environment configuration, release promotion, and safe rollback practices. Implement secure management of pipeline credentials, permissions, and service integrations. SonarQube Integration & Code Quality Integrate SonarQube analysis and quality gates into Bitbucket pull requests and Jenkins pipelines, including branch and PR reporting. Enable and document developer-local analysis workflows, including scanners, IDE integration, and parity with CI checks. Maintain quality profiles, rule configurations, exclusions, and quality-gate policies in collaboration with engineering and security. Troubleshoot analysis failures, false positives, coverage ingestion, and performance bottlenecks; help teams remediate findings. Ensure policy exceptions follow approved review and audit processes. Codecov & Coverage Engineering Integrate Codecov with automated test pipelines and pull-request workflows across relevant repositories. Configure coverage upload, report aggregation, status checks, thresholds, and meaningful coverage-delta reporting. Improve reliability and accuracy of coverage data across unit and integration tests, languages, and parallel CI jobs. Define practical coverage governance and help teams interpret coverage gaps without treating coverage percentage as a substitute for test quality. Engineering Enablement & Collaboration Create dashboards and reporting for build health, pipeline duration, quality-gate outcomes, and coverage trends. Partner with QE, development, DevOps, and security teams to drive adoption, resolve issues, and document standards. Automate repetitive maintenance and support self-service troubleshooting for developers. Skills You Must Have Professional Experience 5–9 years of relevant software engineering, DevOps, build/release engineering, or developer tooling experience. Hands-on experience owning or significantly improving CI/CD pipelines used by multiple engineering teams. Experience supporting distributed microservices and containerized workloads. Technical Skills Strong hands-on knowledge of Bitbucket Git workflows, pull requests, webhooks, and repository permissions. Strong Jenkins experience: declarative pipelines, shared libraries, agents, parallel execution, credentials, and troubleshooting. Practical Argo CD and GitOps experience with Kubernetes deployments, synchronization, drift detection, and rollback. Hands-on SonarQube administration/integration: scanners, quality gates, quality profiles, PR decoration, and local developer analysis. Experience integrating Codecov or equivalent coverage reporting with CI, including coverage artifacts, status checks, and coverage thresholds. Scripting or programming proficiency in Python, Bash, Java, or Groovy; ability to debug build and test tooling. Working knowledge of Kubernetes, Docker/container builds, Linux, networking, secrets management, and cloud environments (AWS, Azure, GCP). Understanding of secure SDLC, access control, code quality metrics, and CI/CD security practices. Skills That Are Nice to Have Experience with Java/Maven/Gradle-based repositories and multi-module builds. Experience with SonarQube security rules, Snyk, or other SAST/SCA tools. Experience tuning large-scale Jenkins infrastructure and optimizing test parallelism or caching. Experience with Terraform, Helm, Prometheus/Grafana, and deployment observability. Experience defining developer productivity metrics and enabling self-service engineering platforms. Strong documentation, collaboration, and cross-team technical communication skills. What Success Looks Like in This Role CI/CD pipelines are faster, more reliable, and easier for engineers to diagnose and maintain. SonarQube checks are consistently enforced in CI and reproducible through supported local developer workflows. Codecov reporting is accurate, actionable, and integrated into pull-request quality decisions. Teams have reusable pipeline standards, clear documentation, and reduced manual effort. Quality and security gates provide trustworthy signals without unnecessary delivery friction. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Team Cloud Infrastructure Engineering is a critical engineering discipline and a job function in the company. Its charter is to build tools and infrastructure that promote early detection of production failures, leading to a stellar customer experience. Our work is to drive safety, health and uptime of our platform, and the ability to remedy unforeseen problems. By removing some of the complex burdens on how to scale and maintain uptime in distributed systems, Cloud Infrastructure Engineer allows development teams to focus on feature development instead of the nuances of achieving and maintaining service level commitments. About the Opportunity: We’re looking for a creative and driven individual that can spearhead our effort to push “outside the box” infrastructure implementations, that will have a tremendous impact on our platform’s stability and scalability. What You’ll Be Doing: Responsible for the maintenance and configuration of AWS products and services Responsible for the research, architecture and project implementation solutions based on AWS products Responsible for the daily maintenance of each AWS cloud environment Support the deployment, maintenance and scaling of big data and machine learning platforms (e.g., Databricks, AWS SageMaker, Aliyun DSW) to enable data processing and model training workflows Own the Databricks platform on AWS end to end: workspace provisioning, account/workspace configuration, cluster policies, instance pools, and SQL warehouses, managed as code via the Databricks Terraform provider Monitor and optimize Databricks cost and performance, including cluster sizing and autoscaling, Photon/serverless adoption, DBU usage tracking via system tables, and job reliability tuning Automate the provisioning, scaling, and configuration of infrastructure resources using tools like Terraform and CI/CD pipelines Assist the team in troubleshooting and resolving production database issues during incidents Monitor company services and handle alerts in a timely manner to ensure service stability and uptime Collaborate with development teams to ensure seamless integration and deployment of new features Design, build and maintain internal platforms and tooling to improve operational efficiency, and support unified multi-cloud management across AWS, Alibaba Cloud, and other providers What We Look For In You: Bachelors degree or above, major in Computer Science or relevant domains, with over 6 years of experience in DevOps, SRE, DBA or related positions Proficient in AWS distributed management, large-scale clustering, fault tolerance, backup, load balancing and other technologies Have a deep understanding of high availability architecture, capacity planning, and rich experience in handling complex problems Have solid Linux platform operation and maintenance and debugging capabilities, and be proficient in troubleshooting, configuration tuning, and performance analysis Familiar with Kubernetes (k8s) for container orchestration and management Familiar with the functional features of AWS products and core products, and have rich practical experience in deployment and tuning of EC2, EKS, VPC, or big data products Experience with microservices architecture, including deployment, scaling, and maintenance Experience in monitoring, O&M and management of AWS large-scale servers and containers Experience in relational databases (e.g., MySQL, PostgreSQL) and NoSQL or big-data storage systems (e.g., Redis, MongoDB, HBase) is a plus Hands-on experience with big data / machine learning platforms such as Databricks, AWS SageMaker, or Aliyun DSW, including supporting data pipelines, notebook environments, and model training/deployment workflows Familiar with the deployment, configuration and maintenance of Nginx, kong and other software Proficient in using Python/Go/shell for development Strong engineering skills, proficient in at least one infrastructure sub-area, public cloud networking, SRE, DevOps or cloud-native Experience with internal developer platforms and proficiency in AI-assisted development tools (e.g., Claude Code, Codex) to improve engineering efficiency Working knowledge of Terraform or similar IaC tools is a plus Excellent business analysis ability, system architecture ability, and problem-solving ability. and strong self-drive Nice to Have: Bilingual in English and Mandarin Familiar with the operation and maintenance management of Alibaba Cloud, Google Cloud, Microsoft Cloud and other cloud providers. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $214,666 to $321,999. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a Solution Architect to help translate business goals into scalable, secure, and maintainable technical solutions. You will work across product discussions, architecture design, technical reviews, and cross team collaboration to support clear requirements and consistent engineering practices. This project is centered on a modern travel focused platform with cloud native services, distributed systems, data integrations, and observability. It aims to improve productivity, quality, security, reliability, and time to market through consistent architecture principles and implementation ready technical solutions. Define and communicate target architecture aligned with business objectives and product strategy Design scalable and secure solutions across cloud native applications APIs data platforms integrations and distributed systems Guide the adoption of Azure services containerized workloads event driven architecture Snowflake and Datadog Evaluate architectural alternatives and document trade offs risks dependencies and recommendations Identify opportunities to simplify systems reduce technical debt and improve platform reusability Partner with stakeholders to write review validate and improve product and technical requirements Translate business needs into clear testable and technically feasible requirements Identify gaps assumptions dependencies integration constraints and architectural risks before development starts Help teams define acceptance criteria API contracts data requirements system boundaries and testing strategies Guide engineering teams in adopting architectural directions standards reusable patterns and decision records Review proposed designs and significant technical changes and provide timely feedback Help identify and manage architectural dependencies across teams products platforms and shared services Drive responsible adoption of AI capabilities across the software development lifecycle Evaluate AI enabled tools frameworks and platforms based on value security reliability maintainability and cost Define architectural patterns for integrating AI services into applications Establish guidelines for AI generated code content validation data protection and secure AI tool usage Promote AI assisted testing including test generation regression coverage API validation and failure analysis Measure engineering and delivery outcomes using relevant performance and quality indicators Lead by example with clean architecture secure coding effective testing and maintainable implementation practices Help teams improve CI/CD pipelines automated testing deployment strategies infrastructure as code and delivery reliability Promote domain driven design modularity API first design asynchronous communication and event driven integration Collaborate with engineering managers technical leads developers QA engineers data engineers and product teams to resolve technical challenges Mentor technical leaders and engineers in architecture skills decision making and engineering ownership Facilitate architecture reviews technical design workshops knowledge sharing sessions and cross team discussions Present architecture changes engineering practices frameworks and technology investments to technical and non technical stakeholders Guide the design of reliable integrations across internal systems third party providers booking platforms and external services Establish patterns for event driven communication API integration messaging data consistency retries idempotency and failure recovery Collaborate with data teams on Snowflake architecture data ingestion transformation governance quality and analytical access patterns Promote observability through metrics logs distributed tracing dashboards and alerts using Datadog Apply controls for sensitive data access management secrets compliance and secure information handling Experience in software engineering and solution architecture designing and delivering production systems Understanding of distributed systems cloud native architecture microservices modular monoliths API design and system integration Ability to translate business requirements into technical designs and implementation plans Experience leading architecture reviews establishing engineering standards and influencing technical decisions across teams Ability to balance strategic architecture with delivery constraints incremental modernization and pragmatic trade offs Strong written and verbal communication skills for technical and non technical stakeholders Hands on experience with Microsoft Azure and cloud native services Experience with Docker and containerized application deployment Experience with Kubernetes or Azure Kubernetes Service Familiarity with infrastructure as code CI/CD automated deployment environment management and cloud cost optimization Understanding of application security secrets management resilience disaster recovery and least privilege access Experience designing APIs and integrations across distributed systems Understanding of event driven architecture messaging asynchronous processing eventual consistency retries idempotency and dead letter handling Experience with data pipelines data modeling and analytical platforms Hands on experience with Snowflake Familiarity with Azure Event Hubs Service Bus Kafka or equivalent messaging platforms Understanding of data governance data quality access controls and privacy considerations Practical experience adopting AI assisted development tools and integrating AI into software engineering workflows Understanding of the software development lifecycle and AI support across requirements design coding testing review deployment and operations Familiarity with Datadog Experience with observability practices including metrics logs distributed tracing dashboards and alerts Understanding of retrieval augmented generation patterns Familiarity with model APIs and prompt engineering Experience contributing to architecture reviews and technical design workshops Experience supporting automated testing across unit integration contract end to end performance and security testing

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, or London (Hybrid) About the Department Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a hugely successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. About the Team We build the infrastructure that makes the web Payable , powering the future of machine-to-machine commerce. Here at Cloudflare, agentic commerce is a core part of our vision for the Agentic Internet . As AI agents increasingly navigate, consume, and act on the web, standard payment and authorization models built for humans are breaking down. We build tools that make the new internet payable by giving our users the ability to monetize access to their content, data, services, products, and outcomes across the Internet, regardless of where they are hosted. Building these capabilities requires solving complex engineering problems across high-throughput web infrastructure, low-latency transaction processing, usage metering, outcome verification, digital wallets, and emerging agentic payment protocols (such as x402, WBA, ACP, and UCP). We bridge mainstream fiat commerce rails with decentralized protocols, enabling micro-payments at Internet scale. We are a tight-knit group that communicates and collaborates regularly. We celebrate our achievements, support each other when we make mistakes, and hold each other and our work to a high standard. About the Role We are looking for a Senior Software Engineer to serve as an expert and technical leader on our Agentic Commerce team. In this role, you will define the architecture, build core systems, and establish technical standards powering machine-to-machine payments, metering, and monetization across Cloudflare's network. As a Senior Engineer, your impact extends beyond individual features. You will shape product and engineering roadmaps by partnering directly with customers, product managers, and across Cloudflare teams. You will write architectural specs that guide engineers inside and outside the team, build systems that reduce complexity for others, and lead complex incident responses. You will be a prime reviewer for large systems, define core product KPIs, and mentor engineers across the organization to elevate our collective engineering practice. What You'll Do Design and build resilient, low-latency systems and core architectures that make web resources Payable for autonomous agents using emerging protocols (x402, WBA, ACP, UCP). Write technical specs (RFCs) and architecture designs that encompass deliverables for developers both within the team and across other Cloudflare engineering groups. Meet directly with customers and Product Management to clarify requirements, define actionable KPIs, and translate business needs into scalable architectural solutions. Architect services to reduce code complexity for the team, ensure seamless recovery from internal and external failures, and improve overall system health observability. Lead complex incident responses, retrospectives, and root-cause analyses while driving initiatives that proactively prevent customer escalations and reduce system alerts. Debug and resolve high-complexity issues spanning multiple teams, services, and protocols, using these opportunities to teach others how to handle similar challenges. Actively mentor engineers, improve engineering and interviewing processes, conduct high-impact spec and code reviews, and share knowledge through technical talks and writings. Examples of Desirable Skills, Knowledge, and Experience Deep software engineering and distributed systems expertise with a track record of architecting, building, and operating high-throughput, low-latency production services. Broad experience with HTTP, API design, payment protocols/rails, web security, and cryptographic authorization mechanisms. Demonstrated experience defining product KPIs and translating complex customer and product requirements into clear architectural roadmaps. Proven track record of debugging complex distributed system failures that span multiple teams and systems, with a focus on systemic remediation. Strong history of technical mentorship, leading incident retrospectives, and driving process improvements inside and outside your immediate team. Ability to rapidly prototype, evaluate deep architectural trade-offs, and establish design patterns in an emerging technical domain. Excellent technical writing and communication skills, with experience drafting RFCs and specifications consumed by multiple engineering organizations. Bonus Points Fluency in Rust (especially async Rust) or TypeScript/JavaScript edge runtimes (e.g., Cloudflare Workers, Durable Objects, KV) at system-architectural scale. Deep knowledge of emerging agentic payment protocols (x402, A2P, ACP, UCP, Web Bot Auth) or digital wallet architectures. Experience architecting high-precision event metering pipelines, usage-based billing engines, outcome verification systems, or revenue attribution tools. Experience with smart contract bridges, cryptography (public-key encryption, signatures, hashes), or hybrid fiat/crypto payment infrastructure. Active contributions to open-source payment systems, agent protocols, web standards, or distributed systems projects. Experience training interviewers, closing candidates, or guiding company-wide technical standards. Compensation Compensation may be adjusted depending on work location. ● For Portugal based hires: Estimated annual salary is between €66,000 - €91,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: San Francisco Access Control Technician Yrs of exp: minimum of 3+ years Responsibilities - ACS/CCTV break/fix support, including troubleshooting controllers, readers, locks, door hardware, cameras, network connectivity, power, and related field devices. - Small Moves, Adds, and Changes (MAC) such as reader/camera replacements, device relocations, hardware changes, and other minor system modifications. - Emergency and P0 response for critical physical security system outages or failures. - Performing onsite troubleshooting and validation before escalating issues to integrators, manufacturers, IT, or other support teams. - Supporting system testing, commissioning, and post-installation validation. - Identifying recurring hardware or infrastructure issues and escalating larger systemic problems to the Corporate Security Systems team. - Coordinating with cross-functional partners including IT, Real Estate & Workplace (REW), and Design & Construction (D&C) when work involves network infrastructure, power, construction, doors, locks, or other building systems. - Supporting preventative maintenance and proactively identifying offline, degraded, or failing ACS/CCTV equipment before it results in a larger outage or user-facing issue.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The AI ecosystem is being built by many companies at once: model labs creating increasingly capable models, hyperscalers providing infrastructure and distribution, developers building new AI products, and a growing ecosystem of tools that agents can use. Baseten sits at the center of that ecosystem as the inference platform developers use to run AI in production. Partner Engineering is how we connect those worlds. As one of the first engineers focused on Partner Engineering at Baseten, you'll build the technical foundation behind some of our most strategic relationships. You'll work directly with engineers at leading model labs, hyperscalers, developer platforms, and AI infrastructure companies to turn partnerships into products developers can actually use. You don't need a previous partner engineering title. We want an engineer who enjoys working directly with another company's technical team and carrying the resulting product decisions into production at Baseten. WHAT YOU'LL BUILD - Bring new capabilities into Baseten. Integrate a search or developer-tools provider into Baseten so an agent can call the service during inference, with consistent authentication, execution, failure handling, observability, and usage reporting. - Take Baseten into new distribution channels. Integrate Baseten with a hyperscaler, cloud marketplace, or developer platform so customers can discover models, provision access, and run inference through a partner's product while Baseten handles the underlying serving infrastructure. - Launch models with leading model labs. Build the infrastructure that lets developers discover and run a model lab's newest models on Baseten, including access controls, usage attribution, metering, and the systems required to support commercial agreements such as revenue sharing. - Create the partner platform itself. Identify the primitives common across these integrations and turn them into reusable platform capabilities so we can launch increasingly sophisticated partnerships without reinventing the stack every time. WHAT YOU'LL OWN - Lead strategic partner integrations from technical discovery and architecture through implementation, launch, and production operation. - Work directly with partner engineering teams to design APIs, define system boundaries, resolve cross-company dependencies, and make architectural decisions. - Write substantial production code and own the systems you build. - Build reusable partner-platform primitives across identity, provisioning, inference, model serving, metering, billing, and other Baseten platform capabilities. - Own technical delivery across Baseten and partner teams, including milestones, dependencies, risks, and architectural tradeoffs. - Work closely with Partnerships and Product to understand where the ecosystem is going and translate emerging opportunities into platform investments. - Raise the bar for integration reliability through strong API contracts, testing, observability, safe rollouts, and thoughtful failure handling. - Help define what Partner Engineering becomes at Baseten as both the team and our ecosystem grow. REQUIREMENTS - Experience designing, shipping, and operating large-scale distributed systems in production. You can explain the architectural choices you made and how they meet customers' needs at scale. - A record of leading ambiguous engineering projects across teams while contributing substantial production code yourself. - Sound judgment about API design, service boundaries, and failure handling. You've built systems that uphold API contracts and meet measurable service-level objectives that customers and partners depend on. - Experience turning requests from customers, partners, or other engineering teams into a defined technical scope. You can explain a constraint, propose an alternative, and document the decision. - Comfort working across application code and cloud infrastructure, including debugging behavior that crosses service boundaries. NICE TO HAVE - Product integrations with cloud providers, developer platforms, or other infrastructure companies. - Usage metering, marketplace infrastructure, or commerce systems that support relationships among multiple parties. - Model serving or other artificial intelligence (AI) infrastructure used in production. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: United States, San Mateo, CA 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. Software Development Engineer in Test II Role Overview We are seeking a Software Development Engineer in Test II (SDET II) to join our Video Codec Quality Engineering team, responsible for validating the software and hardware components of the PlayStation SDK's video codec stack. In this role, you will design, build, and maintain automated test frameworks and CI pipelines that ensure the reliability, performance, and correctness of codec technologies across PlayStation platforms. You'll work closely with codec developers and QE peers to catch regressions early, expand automated coverage, and help ship high-quality video encoding/decoding software and hardware to millions of PlayStation users. Responsibilities Design, develop, and maintain automated test suites for PlayStation SDK video codec software and hardware components Build and maintain CI/CD pipelines using Jenkins to support continuous testing, nightly regression runs, and release validation Develop and extend API-level test automation to validate codec SDK interfaces, functionality, and performance Write robust, maintainable test code in C++ and Python to cover functional, regression, performance, and stress testing scenarios Investigate test failures, triage bugs, and work with development teams to drive issues to resolution Collaborate with codec developer teams to understand new features and translate requirements into test plans and automated coverage Monitor test results and CI dashboards, proactively flagging quality risks and coverage gaps Contribute to test infrastructure improvements, including tooling, reporting, and scalability of the automation framework Document test plans, procedures, and known issues to support team knowledge sharing Skills and Qualifications Required: Proven experience building and maintaining CI/CD pipelines with Jenkins 3+ years of experience in software development in test, QA automation, or a related engineering role Strong hands-on coding experience in C++ and Python Experience designing and implementing API test automation frameworks Solid understanding of software testing methodologies (functional, regression, integration, performance) Ability to debug complex issues across software and hardware layers Strong collaboration and communication skills, with experience working cross-functionally with development teams Nice to Have: Experience testing or working with video codec technologies (e.g., H.264, H.265/HEVC, AV1) Familiarity with AI agents or applying AI/LLM-based tools to test automation and workflows Experience with GTest or similar C++ test frameworks (e.g., Catch2, Google Mock) Experience testing embedded systems, SDKs, or console/hardware platforms Familiarity with performance benchmarking and profiling tools Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We're looking for a Technical Project Manager for Network Infrastructure. This is not a "make slides, chase tickets, and ask engineers for status" job. It is a role for someone with an engineering skeleton: a person who has built, operated, broken and recovered things, and can earn trust in a room full of SREs, SWEs, network engineers, security and platform teams. You will work with a high degree of independence, set up the project management practices for your area from scratch, and stay close to the technical details yourself. The "T" matters. You don't need to be the deepest expert in every area, but you should be technical enough to understand real trade-offs: why rollback is not optional, why "just automate it" can create a bigger blast radius, why a provisioning flow must survive real-world constraints, why SLOs without ownership are decoration, and why network device CI/CD is very different from deploying a stateless service. You can read a design doc, challenge missing assumptions, notice unclear failure modes, ask sharp questions, and turn a vague but important problem into an executable plan. The "P" is project delivery with a product mindset, even if the product is internal infrastructure. Your product may be secrets and robot-user management, an SLO framework, a firmware rollout process, a network observability platform, CI/CD for network devices, or automation that makes day-0 and day-N operations safe. The job is not done when the technical pieces exist. It is done when engineers trust the tool, the NOC actually uses the workflow, alerts are actionable, runbooks are real, and the new way becomes the default way. That means adoption, communication, documentation, feedback loops, and sometimes a bit of internal "marketing": the ability to convince smart technical people that the thing is worth using. The "M" is management of execution, not people management. You will not be responsible for engineers' careers, performance reviews or promotions. You will be responsible for making important cross-team initiatives land: defining scope, aligning owners, exposing risks, driving decisions, tracking dependencies, creating clarity where things are unclear, and making sure we ship useful outcomes instead of collecting half-finished initiatives. This is a high-leverage role in an early-stage and fast-scaling network infrastructure organisation. Many important systems are being built now: automation, observability, reliability standards, provisioning flows, operational safety, and cross-site consistency. You won't be maintaining a mature machine from the sidelines. You'll help shape how the machine works. Your responsibilities will include: Own end-to-end delivery of cross-team network infrastructure initiatives, from a vague problem statement to an executable plan to adoption Define scope and success criteria, align owners across SRE, SWE, network, security, platform and data center teams, and drive decisions to closure Review designs and technical proposals, challenge missing assumptions, and surface failure modes, dependencies and risks early Track dependencies and risks across teams and time zones, and keep stakeholders informed with clear, honest status Drive adoption: make sure tools and workflows become the default way of working, with real documentation, runbooks and feedback loops Establish and run lightweight, effective project management practices: planning, prioritization, reviews, and post-launch follow-up Work with regional teams and external partners (vendors, carriers) on the rollout of new network capabilities Turn operational pain and engineering input into a clear, prioritized backlog We expect you to have: 7+ years of experience in technical project management, engineering management or a hands-on engineering role (SRE, SWE, network or infrastructure), with a track record of delivering complex cross-team infrastructure projects A real engineering background: you have built and operated production systems and can earn the trust of deeply technical teams Ability to read design docs and technical proposals, understand trade-offs, and ask sharp questions about reliability, rollback, blast radius and failure modes Strong understanding of infrastructure fundamentals (Linux, networking, automation, CI/CD) at the level needed to hold your own in technical discussions Proven ability to drive decisions and create clarity in ambiguous, fast-changing environments without formal authority Excellent written and verbal communication, including documenting plans and decisions and influencing smart technical people Ability to work independently and to build processes from scratch Professional working proficiency in English (spoken and written) and comfort working across time zones It will be an added bonus if you have: Experience with network infrastructure: network automation, observability, or network device lifecycle management Experience with SLO/SLI frameworks, incident management, or production readiness processes Experience with CI/CD or change management for network or other high-blast-radius infrastructure Experience delivering projects with distributed teams across European, Middle Eastern and African time zones Experience with secrets and access management, firmware rollout or fleet-wide operational initiatives Hands-on engineering contributions (scripts, tooling, automation) alongside project work Examples of initiatives you may own: A user and secrets management system for network infrastructure, including robot-user lifecycle, safe key/password rotation, revocation, break-glass access, mixed agent/push-based device support, and integration with existing secrets backends An SLO framework for network services and components, including SLIs, SLOs, dashboards, alerts, ownership, tiering, and a clear link between reliability targets and engineering investment CI/CD for network devices, where configuration changes, validation, staged rollout, rollback, and blast-radius control become disciplined and repeatable instead of manual and risky Fleet-wide operational initiatives such as firmware consistency, device lifecycle hygiene, observability coverage, monitoring quality, alert ownership, or production readiness for new network capabilities Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. About the role: At Humanoid, we are working from a simple hypothesis that AI is rapidly transforming engineering. The bottlenecks are shifting from writing code to how efficiently AI-authored changes can be verified. We’re looking for an Engineering Lead to own developer productivity in the age of AI and agents. You’ll build the platform that lets our engineers move faster with coding agents while protecting our code, infrastructure, and robots. You’ll give developers and agents the environments, context, and tools to work effectively, and build verification and security into the path from task to healthy deployment. This means rethinking how engineering work gets done, not just adding agents to existing processes, and establishing the access controls, isolation, and monitoring needed to guard against mistakes, misuse, and new security threats. This is a hands-on leadership role and the keystone hire for a new developer productivity team. You’ll build the critical systems yourself, recruit and lead engineers, and work across Developer Tools, Security, Safety, Simulation, and robot software. Success means increasing engineering output while reducing cost and human review per accepted change, without increasing defects or safety risk. What you'll do: - Own the path from an agent task to a healthy deployed change, including acceptance criteria, execution, verification, merge, rollout, monitoring, and rollback. - Build secure, reproducible agent runtimes with task-scoped identity, short-lived credentials, bounded access, cost controls, and re-playable execution records. Proactively detect unauthorized agent activity across our compute clusters, whether internal or external. - Build the interfaces developers use to launch, monitor, and control agents, alongside tooling for agents to collaborate through shared memory, coordinated work, and appropriately authorized access to company resources. - Reduce the tokens and retries required for accepted work through better context assembly, model and tool routing, caching, task decomposition, and feedback. - Give agents fast access to builds, tests, simulation, replay, and hardware-in-the-loop, with acceptance criteria they cannot alter. - Work with engineering teams to make the codebase easier to navigate and verify through clear interfaces, strong invariants, reproducible environments, fast local checks, and well-documented implementation paths. - Recruit and lead the team while remaining hands-on. Measure success through cost per accepted change, human review time, escaped defects, and time from push to healthy on the robot. What we're looking for: - Experience building and operating developer tooling or infrastructure used across engineering teams, such as build systems, CI/CD, test infrastructure, deployment pipelines, or internal platforms. - Strong software engineering skills and comfort working in large codebases or monorepos. - Practical experience with Linux, containers, and cloud infrastructure, plus working knowledge of Kubernetes. - Hands-on experience using and integrating coding agents into real engineering workflows. You understand how context, tools, and evals affect reliability, latency, and cost, and can talk concretely about what worked and what didn’t. - Sound security judgment around workload isolation, identity, permissions, and credentials. You can design appropriate boundaries for agents accessing code, infrastructure, and company resources. - Experience building reliable automated tests or verification systems and diagnosing failures across code, tooling, and infrastructure. You have good judgment about what automated checks establish and where human review still matters. - Experience leading engineers while remaining hands-on. You can set technical direction, recruit a strong team, and turn an ambitious goal into systems that engineers use and trust. What We Offer: - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Toronto; San Francisco; Canada; United States; New York; Ottawa; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? We’re building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most driven, and most curious people to help us do it. As the head of the Data Foundation pillar of our Analytics and Data Insights team, you’ll lead the team that makes Cohere’s data trustworthy, governed, and available: the warehouse every analytics surface runs on, the pipelines that keep it fresh, the access model that keeps it secure, and the agentic analytics layer that lets anyone at Cohere (and their agents) ask questions of governed data directly. Your team owns the full data lifecycle. You’ll run ingestion into BigQuery from internal and external data sources, orchestrate it in Airflow and Cloud Run, model the data warehouse in dbt, and serve the results through Looker, export APIs, and customer-facing analytics surfaces. Everything is provisioned as code in Terraform, and governance is part of the design: VPC service controls, IAM patterns, and documented access paths that let people and agents move fast without putting data at risk. This role is both highly visible and highly impactful, and you’ll inherit a solid structure on which to build the rest of the stack: a Terraform-provisioned warehouse framework, dbt modeling conventions, an alerting and incident-response practice, and documentation patterns to keep everything discoverable. The roadmap is set with big bets in flight: scaling that framework across the company, standing up an internal analytics agent with a real eval harness, and consolidating institutional knowledge into a self-correcting and self-maintaining system that keeps context centralized, current, and documented, rather than dispersed and in people’s heads. Responsibilities As the head of the Data Foundation pillar, you will: - Build and lead the team. Hire and grow a team of data and infrastructure engineers; set the technical bar; develop strong talent and raise team performance, building leadership capability beneath you. - Set the roadmap from company strategy. Own and sequence the Data Foundation roadmap: the warehouse buildout, the agentic analytics program, data governance, and the platform work that unblocks our other pillars. You’ll make the trade-offs and carry the cross-functional impact that comes with them. - Own the data platform end to end. Ingestion (managed connectors and an open-source connector framework), orchestration on Airflow and Cloud Run, warehouse modeling in BigQuery with dbt (raw, core, mart layers), and serving through Looker, export APIs, and semantic layers. All of it provisioned as code in Terraform. - Own data governance. Define how humans, service accounts, and agents get access to governed data: VPC service controls, IAM patterns, documented onboarding paths, audit logs, and sensitive requests (including legal holds) handled to deadline. - Operate for reliability. Run the alerting and anomaly-detection framework, own data freshness SLAs, lead incident response and postmortems, and turn every incident into a durable standard so the same class of failure doesn’t recur. - Lead the agentic analytics program. Wire the semantic layer into an internal analytics agent, build the eval harness that measures its accuracy, and make the eval-driven call on where AI earns its way into production. Apply the same discipline to automating data engineering work itself. - Set the standard for analytics across the company. The medallion framework, naming conventions, and testing patterns your team maintains become the way other teams ship analytics data. You’ll onboard new domains onto it and keep the docs accurate to how the systems actually work. - Partner across the org. Work with the North product and engineering teams on the analytics surfaces that ship in the product (including a customer-facing analytics export), with Business Insights on marts for the business, with Security on data governance, and with Legal on compliance-critical data requests. QUALIFICATIONS You may be a good fit, if you have: - 10+ years of experience across data engineering, data infrastructure, or analytics platform work, with a strong management track record leading data platform or infrastructure teams - Serious hands-on history in data engineering or infrastructure before management. You can still read a Terraform plan, a dbt DAG, or an Airflow scheduler log and ask the question that matters - Production experience with cloud data warehouses (BigQuery, Snowflake, or similar), workflow orchestration (Airflow or similar), and infrastructure as code (Terraform or similar) - Depth in data modeling: you think in fact and dimension tables, raw/core/mart separation, and semantic layers, and you have opinions on where tests and contracts belong - A record of setting a team’s roadmap from company or function strategy and delivering outcomes that span teams, with the cross-functional partnerships to match - Operational excellence you can point to: alerting you trust, SLAs you meet, incidents you run to ground and write up so they teach - Exposure to data security and governance: IAM, access management, VPC service controls or equivalent, audit and compliance workflows - Genuine excitement about AI: you follow the research, have opinions, and are energized by building the data foundation an AI company (and its AI agents) runs on - Comfort operating in ambiguity, leading a multi-workstream roadmap, and working directly with executives on priorities If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. As a Staff Engineer (Payment Processing) at Checkout.com http://Checkout.com, you will set the technical direction for our Gateway, Routing and Payout platforms. Every payment and payout we process passes through these systems, from the merchant's API request to the routing decision that sends it to the right acquirer, payment method or payout rail. Correctness matters on every transaction, and small changes in availability, latency or routing quality show up directly in our merchants' approval rates and revenue. This is a role for engineers who are energised by scale and by the hard trade-offs that come with it: latency budgets on the authorisation path, failure domains and blast radius, consistency and idempotency across regions, and the operational reality of running critical infrastructure around the clock. You will operate as a force multiplier across multiple teams - shaping architecture, raising the engineering bar, and turning ambiguous, business-critical problems into designs that can be delivered incrementally. We're looking for individuals with deep technical judgement, strong ownership, and a pragmatic approach to breaking big problems into smaller iterations that deliver value continuously. How you'll make an impact - Own the architecture of high-throughput, low-latency distributed systems, defining the service boundaries, data models and integration patterns that let them scale by an order of magnitude - Design for resilience from first principles - redundancy, graceful degradation, backpressure, idempotency and recovery - so that partial failures never become customer-facing outages - Set and defend the non-functional requirements that matter: availability targets, latency percentiles, throughput ceilings, data durability and recovery objectives - Lead the hardest technical decisions end to end, from problem framing and design review through to production rollout, migration and decommissioning of what came before - Drive operational excellence by improving observability, alerting, capacity planning, load and chaos testing, and incident response, and by closing the loop on the root causes you find - Raise the engineering bar across teams through design reviews, code review, pairing and mentorship, growing the senior engineers around you - Partner with product, platform and other engineering teams to sequence delivery, remove blockers and keep multi-team programmes aligned on a single technical direction - Make pragmatic build-versus-buy and refactor-versus-rewrite calls, and communicate the reasoning and trade-offs clearly to both engineers and senior leadership Experience and qualifications - Significant experience building and operating distributed backend systems in production, with a track record of technical leadership across multiple teams - Demonstrable experience designing for high throughput and low latency, and a strong intuition for where systems break under load - Deep understanding of resilience patterns in distributed systems: idempotency, retries and backoff, circuit breaking, queueing and backpressure, consistency and failure modes - Strong proficiency in either .NET or Java, and the ability to write clear, production-ready code that others can maintain - Experience with event-driven and streaming architectures, and with relational and non-relational data stores at scale - Hands-on experience with cloud-based application development (we use AWS & Azure), containers, orchestration and infrastructure as code - Experience owning production systems on call, with a strong sense of ownership for observability, monitoring and incident response - Experience leading complex migrations or re-architectures of live, business-critical systems with no loss of availability or data integrity - Excellent communication skills, able to influence without authority, write clear design documents, and express technical trade-offs to engineering and non-technical audiences alike Nice-to-haves - Experience in payments, financial services or another domain with strict correctness, auditability or regulatory requirements - Experience with multi-region or active-active architectures, including data replication and failover strategies - A history of mentoring engineers into senior and staff-level roles Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Limassol Cyprus Workplace: OnSite Job Title: Staff/Lead SDET Engineer (Test Automation Platform) Product: Total Battle Total Battle is a massive MMO 4X strategy game available on mobile and web, uniting millions of active players. As our product and engineering teams scale, we are shifting our testing paradigm: automated testing must become a daily, self-service engineering tool rather than a bottleneck owned by a dedicated team. We are looking for a Staff/Lead SDET to take technical ownership of our internal test automation tooling and make this vision a reality. Why this role exists Your core mission is to empower product QA teams. You won't write tests; you will build the tools, APIs, and abstractions that allow QA engineers (with basic Python & OOP skills) to independently create checks, manage test states, run tests in CI/CD, and diagnose failures. - The Product Teams own the tests. - You own the tooling layer that makes their work possible. [https://app.ashbyhq.com/api/images/user-content/55591132-5874-4888-add0-f14f70025dca/2aa3a273-986b-4c05-b6a2-27fee33e607f/image.png] 💡 Core Focus Areas: 1. Client Testing Tools: UI scenarios, method/component checks across Android, WebGL, and (soon) iOS. 2. Server Integration: Component testing tools built over existing Python clients, SDKs, and product testability capabilities.(Note: We aren't starting from scratch. We need a visionary who can assess our existing solutions, define a target architecture, and evolve them incrementally). What You’ll Work On - Drive Technical Strategy: Define the roadmap for QA tooling, evolve its architecture, and personally implement key solutions. - Build the Platform: Develop domain APIs, fixtures, and state-preparation tools for integration/component testing over existing SDKs. - Enhance Client Automation: Extend client UI automation and enable sub-UI checks for specific client methods. - Unify Execution: Ensure local and CI execution follow a predictable, unified path across Android and WebGL. - Create Diagnostics: Build clear diagnostic tools to help QA engineers easily distinguish between product, test, tooling, and infrastructure failures. - Cross-Team Collaboration: Translate recurring QA needs into product testability requirements and establish technical contracts with client/backend teams. - Evangelize & Mentor: Drive adoption of your tools through pilots, solid documentation, and feedback loops. (Where needed, help define engineering roles and participate in hiring/onboarding). Who You Are We are looking for a hands-on technical leader who thrives in long-term ownership of internal platforms. - Python Expert: You regularly write, debug, and maintain Python code for libraries, frameworks, SDKs, or internal tools. - Platform Builder: You have designed or substantially evolved a framework/SDK used by multiple teams, bringing it to a point where teams can use it independently. - API Designer: You know how to build stable public APIs over existing SDKs, hiding low-level details from the end-user. - Cross-Functional Driver: You’ve successfully worked with backend, client, or framework teams to deliver testability capabilities, driving changes even when you don't directly manage the teams. - CI/CD & Diagnostics Guru: You have integrated automated checks into CI quality gates with robust reproducibility and diagnostics. - AI Adopter: You leverage LLMs and coding agents to investigate codebases, develop tooling, or create tests efficiently. - Deep Domain Expertise: You have profound hands-on experience in at least one of the following (and can take technical responsibility for the other): - Client/UI automation: Drivers, custom/non-native UI, synchronization, and sub-UI checks. - Backend/integration tooling: Python clients/SDKs, protocols, sessions, fixtures, and test state. Nice to Have (Bonus Points) - Experience in both client/UI and backend/integration tooling. - Background in modernizing legacy automation and conducting incremental user migrations. - Experience with complex test lifecycles (data isolation, flaky checks, state management). - Experience in GameDev or complex live-service products (Unity, Cocos/Axmol, WebGL). - Familiarity with Selenium, Appium, Playwright, XCUITest, Android ADB, or iOS infrastructure. - Experience with asynchronous Python, typed models (Pydantic, mypy), or schema-based code generation. Why to join: 1. ☀️ Live & Work in Sunny Cyprus: We’re an office-first team in Limassol with a modern seaside workspaces. We provide full relocation and visa support for you and your family. 2. 💰 Industry-Leading Rewards: High salaries, a 13th salary, performance bonuses, extra rewards for life milestones (marriage, babies, long service), daily breakfast and lunch. 3. 🛡️ Family Support: Private family health insurance, plus a highly competitive monthly allowance for your children’s pre-school, school, and university education. 4. 🚀 Shape a Global Hit: Work on a Top-10 global mobile 4X strategy game that has grown 25x in revenue and audience over 5 years. 5. 🏰 Rock-Solid Stability: We operate at startup speed but with zero history of lay-offs. We are independent, financially secure, and boast a 99% employee satisfaction rate. 6. 🧠 Culture & Growth: A flat structure where the best ideas win and transparency rules. Your growth is funded from specialized training, certifications, language courses and books to internal and external conferences coverage.

Location: Romania Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Location: India Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Location: Ukraine; North Macedonia; Turkey; European Union; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a Senior AI Engineer to own and scale the AI layer of one of our core D2C subscription products. You will be fully responsible for production LLM features and the browser automation built around them end to end — prompt systems, structured outputs, evaluation, observability, and model selection — from first experiment to live release, with quality, reliability, and cost as your accountability. This is a high-impact role suited for someone who decides with data, not intuition. Unmeasured prompt changes, untraced failures, and model swaps without benchmarks are not acceptable. You work in a modern TypeScript stack — Next.js, Cloudflare Workers and Containers with Hono, Hatchet task queues, Drizzle on Supabase Postgres, Vercel Blob. Browser automation on Browserbase and Playwright is roughly half of the job. KEY RESPONSIBILITIES PROMPT SYSTEMS & STRUCTURED OUTPUTS - Design dynamic prompt templates with conditional logic and context injection that maximise generation quality - Enforce predictable outputs with JSON mode, function calling, Zod/JSON schemas, validators, and repair loops - Own complex LLM workflows (LangChain, LlamaIndex, or custom) that integrate cleanly into application logic BROWSER AUTOMATION - Build and maintain browser automation on Browserbase Functions and Playwright that traverses web flows reliably - Classify screens with a model inside each traversal, and decide what the model handles versus deterministic code - Ship automations as frozen, published workers — versioned, reproducible, and safe to roll back - Orchestrate runs through Hatchet with retries, timeouts, and failure traces that explain every broken run EVALUATION & EXPERIMENTATION - Build evaluation pipelines — test datasets, LLM-as-a-judge, RAGAS-style metrics — and score responses and screen classifications in Langfuse - Trace complex LLM chains to find bottlenecks in cost, latency, and context-window usage - Run A/B experiments across models and prompts through an AI gateway (OpenRouter, Cloudflare AI Gateway); release only on quantitative benchmarks - Re-evaluate models as new architectures emerge; fine-tune when domain requirements demand it PRODUCTION OWNERSHIP - Take AI features from experiment to live production on Cloudflare Workers and Containers, and stay accountable after release - Manage rate limits, fallbacks, and model cost so features stay reliable at scale - Resolve production incidents in owned AI and automation systems with documented root-cause analysis QUALIFICATIONS MUST-HAVE EXPERIENCE - 【5+】 years of software engineering with Node.js, TypeScript, Next.js, and Postgres, including edge or serverless runtimes such as Cloudflare Workers - Production browser automation with Playwright (Browserbase or similar): resilient selectors, retries, failure handling at scale - Production experience with dynamic prompting — content that depends on input variables and injected context - Structured outputs in production: JSON mode, function calling, Zod/JSON schemas - Experience with unified LLM APIs or AI gateways (OpenRouter, Cloudflare AI Gateway): rate limits, fallbacks, cost-effective model selection - LLM observability with Langfuse or similar: tracing, test datasets, scoring integration - Evaluation methodology: RAGAS or custom LLM-as-a-judge systems LEADERSHIP ATTRIBUTES - Decides on benchmarks and trace data, not intuition - Analytical — converts generation logs into metrics a business can act on - Iterative — builds feedback loops and improves continuously - Owns the outcome from experiment to production, and after - Verifies before trusting — treats LLM output as unproven until validated LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (30 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Singapore Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Role: Cantina is expanding, and we're looking for a Research Scientist to join our growing Singapore team! In this role, you will drive foundational research on video generation models, taking ownership across the full research cycle and driving post-training research. Furthermore, you'll collaborate closely with data, infrastructure, and adjacent modeling teams to translate research findings into durable model improvements. What You’ll Do: - Build and maintain scalable systems for ingesting, preprocessing, and delivering large-scale video data for model training - Design and scale distributed data pipelines for preprocessing, dataset generation, and repeated dataset refreshes - Own workflow orchestration, job scheduling, monitoring, and failure recovery for large-scale data processing jobs - Implement and maintain containerized pipeline infrastructure using Kubernetes or equivalent orchestration systems - Optimize cloud-based data storage and movement across providers (AWS, GCS, or Azure) for cost, throughput, and operational efficiency - Define and implement best practices for dataset storage layout, versioning, caching, retention, and access patterns - Build tooling to support deduplication workflows at scale, including near-dedup pipelines over large video corpora - Research and develop distillation methods for large-scale diffusion and flow-based video generation models, including guidance distillation and adversarial distillation, with a focus on preserving or improving generation quality while reducing inference cost - Develop reward models and preference-based fine-tuning pipelines that align video generation quality with human judgments across dimensions such as aesthetics, motion quality, and prompt adherence - Analyze the relationship between base model behavior and post-training outcomes, and work with the foundation model team to inform pretraining decisions accordingly What You’ll Bring: - Strong hands-on experience building or scaling large-scale data systems or pipelines for machine learning workflows - Experience with distributed data processing frameworks such as PySpark or Ray, and orchestration tools such as Airflow or equivalent - Familiarity with containerization and container orchestration, including Docker and Kubernetes - Experience working with cloud-based data storage and compute (AWS, GCS, and/or Azure), including tradeoffs around cost, throughput, storage layout, and access patterns - Familiarity with video and media processing tools such as FFmpeg, PyAV, DALI, or OpenCV - Familiarity with multimodal or media data, including video, image, text, and audio - Strong research background in post-training methods for large-scale diffusion or flow-based generative models, with deep hands-on experience in distillation across both inference efficiency and quality preservation - Experience with reward modeling or preference-based fine-tuning for generative models, including RLHF, DPO or equivalent alignment approaches - Solid understanding of the interplay between pretraining and post-training, and how base model properties affect distillation and fine-tuning outcomes - Proficiency in Python and modern machine learning frameworks, with a strong preference for PyTorch or JAX - Track record of independent research, with the ability to drive projects from initial idea through experimental validation - Publications at top-tier venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV) preferred - Good understanding of the practical challenges involved in building reliable, scalable, and reproducible data workflows for machine learning systems Benefits We Offer: - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office

Location: Singapore Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Role: Cantina is looking for a Member of Technical Staff to join our growing Singapore research team. In this role, you will shape the data and evaluation strategies behind our video generation models. You will own the full data lifecycle—from defining data requirements and annotation standards to building high-quality datasets, evaluating model outputs, and translating findings into actionable recommendations for model improvement. You will work closely with research scientists, machine learning engineers, product teams, and external data partners to strengthen the data–model–evaluation feedback loop. What You’ll Do - Define quality standards for video generation across aesthetics, realism, composition, motion, temporal consistency, instruction following, subject consistency, editing preservation, and text rendering. - Evaluate model iterations, analyze failure patterns, and translate findings into actionable data, training, and prompting strategies. - Own end-to-end training data projects, including sourcing, construction, annotation, captioning, quality control, and delivery. - Develop labeling systems that support dataset segmentation, coverage analysis, quality filtering, training-data mixtures, and model performance attribution. - Design annotation and captioning standards for video generation, editing, and multi-reference tasks. - Create and evaluate synthetic-data workflows based on their stability, usability, quality, and training value. - Develop automated annotation and filtering workflows using vision-language models, system prompts, and quality-scoring models. - Build structured model evaluation processes covering test-set design, evaluation criteria, failure attribution, and reporting. - Establish feedback loops connecting model evaluation and negative-case analysis with data strategy and model iteration. - Train and calibrate annotation teams and external data partners, conduct quality audits, and improve delivery standards. - Partner with research, engineering, product, and creative teams to execute data initiatives and identify future model capabilities. What You’ll Bring - Hands-on experience in data strategy, dataset development, annotation, or model evaluation for generative image, video, or multimodal models. - Experience supporting model development across continued training, supervised fine-tuning, post-training, or evaluation. - Strong understanding of generative media tasks, including image and video generation, multimodal generation, and instruction-based editing. - Experience developing labeling taxonomies, annotation guidelines, captioning standards, quality thresholds, and evaluation frameworks. - Strong visual judgment and the ability to translate subjective quality expectations into measurable data and evaluation standards. - Experience managing large-scale data-production or annotation projects and collaborating with research, engineering, creative, and external partner teams. - Familiarity with automated captioning, synthetic-data generation, vision-language models, prompt design, Python, SQL, or other data and workflow automation tools is a plus. Benefits We Offer: - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office

Location: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. ABOUT THE ROLE We are looking for product-focused systems engineers to work on Teleport Core Product. You will work on problems ranging from performance and scalability, security and networking, to integrations with external systems. You will work on the full product lifecycle from working with customers to understand their problems, writing RFDs for your proposed design, implementing, testing, and documenting. Teleport is an open core project, and most of the code you will write will be open source and written in Go. WHAT YOU'LL DO - Become an expert on scalability, performance, and reliability of Teleport in large deployments. - Design, develop, and ship outstanding, high-quality products. - Write most of the code in Go. - You'll join one of Teleport's access teams. These teams build secure, passwordless access to every kind of infrastructure, using short lived credentials, and it has to work at the scale of our largest customers. - Improve observability, tracing and failure handling so the access layer can be debugged at scale. - Grow your technical expertise. - Lead a distributed team of outstanding engineers. WHAT WE'RE LOOKING FOR - Willingness to work collaboratively with Teleport's engineers on coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/systems/challenge-1.md as part of the interview process. - Builder mentality and experience -- you love being hands-on and building zero-to-one products. - Extensive Go experience. - Extensive experience developing scalable, reliable, and performant distributed systems and platforms. - Strong team leadership. - Engineering management experience. - Linux systems engineering experience. - Knowledge of Identity Management, RBAC, ABAC, and zero-trust security models. - Intellectual curiosity and a willingness to master new technologies. - Transparency, honesty, and a no-ego mindset. - Significant contributions in Open Source is a big plus. HOW WE HIRE Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do. For this role, we use a take-home challenge that mirrors real work at Teleport — on your time, your way. You'll have support from the team throughout. 1. Zoom meeting with a Teleport recruiter. You’ll learn about the company, our products, compensation philosophy, interview process, and key requirements. 2. Zoom meeting with the Hiring Manager. The Hiring Manager will walk you through the coding challenge and answer your questions. 3. Coding challenge collaboration. The day after your meeting with the Hiring Manager, you join a Slack channel and complete a coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/systems/challenge-1.md using GitHub. The challenge usually takes about 2 weeks and ends with a Zoom meeting with the Hiring Manager and a member of the interview team to review your solution. 4. If your challenge solution meets our bar, you'll receive an offer to join Teleport. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/