Вакансии

At Halcyon, we’re building a world-class anti-ransomware platform grounded in innovation and resilience. As part of that vision, we’re looking for a Senior Backend Engineer to join our cloud team.

Adyen is looking for a Senior Platform Engineer Container Services to build and operate container infrastructure, automate platform operations, and improve reliability at scale.

Грейд: Middle+. Стек: Kubernetes, Docker, Docker Compose, Helm, Terraform, OpenTofu, Ansible, GitLab CI.

-Руководить командой Data Infrastructure: определять приоритеты, распределять задачи и развивать инженеров. -Обеспечивать стабильность и надёжность инфраструктуры хранения и обработки данных.

Location: Germany; Portugal; Poland; Serbia; Spain; Ireland We are seeking a proactive Site Reliability Engineer (SRE) to keep a secure SaaS platform fast, reliable, and continuously improving. You will support a hybrid technology stack spanning Windows-based applications (.NET, IIS, SQL Server) and cloud-native infrastructure (AWS, containers, Kubernetes, and Terraform). This is a hands-on role for someone who takes ownership of production reliability, enjoys investigating complex failures, and independently identifies opportunities to improve systems. Prior Windows or SQL Server experience is not required if you bring strong infrastructure and relational database fundamentals and can learn unfamiliar technologies independently. Responsibilities Own availability, reliability, and performance of core backend infrastructure across Windows and Linux environments. Improve observability using Kibana, CloudWatch, centralized logging, and custom telemetry; identify monitoring gaps before incidents occur. Build, maintain, and improve CI/CD pipelines and infrastructure as code using Terraform and Ansible. Learn and operate production Windows environments, including .NET Framework/.NET Core applications hosted on IIS. Learn and support SQL Server, including AlwaysOn and Service Broker, alongside PostgreSQL and Aurora. Operate cloud-native services and workloads across AWS Lambda, DynamoDB, Redshift, OpenStack, and containers. Participate in an on-call rotation, troubleshoot incidents, and contribute to effective postmortems and preventive actions. Partner with engineering teams to improve deployment safety, system resilience, and operational processes. Proactively identify problems, automate repetitive work, and drive improvements without waiting for direction. Requirements 5+ years of hands-on SRE, DevOps, or WebOps experience supporting production SaaS systems. Strong practical experience with Terraform and Ansible for infrastructure management. AWS operations experience, including Lambda, DynamoDB, CloudWatch, and IAM. Strong relational database fundamentals (PostgreSQL, MySQL, or similar), including query tuning, replication, backups, recovery, and high availability. Experience operating and debugging containerized and distributed systems in production. Strong Linux systems administration skills. Ability to script and automate with Python, Bash, or PowerShell (PowerShell can be learned on the job). Experience building and maintaining CI/CD pipelines. Familiarity with Redis, Kibana, Elasticsearch, and centralized logging. Excellent incident response, troubleshooting, and communication skills. Demonstrated ownership, curiosity, self-directed learning, and a record of proactively improving systems. Availability to work US business hours and participate in an on-call rotation. Preferred Experience with Windows Server, IIS, and .NET applications. SQL Server experience, particularly AlwaysOn and Service Broker. Personal technology projects, home labs, open-source contributions, or tools built independently. Willingness to build deep familiarity with the Windows and SQL Server stack through independent learning and hands-on practice during the first six months. Benefits Salary: $5,000 to $6,000 USD per month PTO: Unlimited Setup: Fully Remote

The Systems Administrator owns the day-to-day administration of our SaaS and cloud vendor stack, with security and logging as the first priority. You will also provide hands-on IT support to employees.

Задачи: самостоятельная поддержка и развитие инфраструктуры (GCP, Selectel, Hetzner, Proxmox); эксплуатация и сопровождение облачной и локальной инфраструктуры, обеспечение её стабильности и доступности;

Развертывать и поддерживать Kubernetes-кластеры для data copilot и сервисов поиска (Airflow, Kafka, PostgreSQL); Автоматизировать CI/CD-пайплайны (GitLab CI, ArgoCD, Helm) для быстрого релиза обновлений data-сервисов;

Job description: Implement and run AWS services (S3, Lambda, IAM, ECS, EC2, RDS, networking), containerize applications with Docker, automate deployments with Terraform, and build monitoring for production systems.

Грейд: Middle/Senior. Стек: Docker, Kubernetes, GitHub Actions, Terraform, Ansible, Prometheus, Grafana, ELK Stack.

Location: London 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. RESPONSIBILITIES - Recruit, hire, and grow Baseten’s first SRE team in London, with ongoing coaching, feedback, and career development through regular 1:1s. - Set clear performance expectations, hold a high bar, and foster a culture of ownership, accountability, and continuous improvement. - Own the reliability of Baseten’s multi-cloud Kubernetes infrastructure during your team’s hours, including incident response, post-mortems, and remediation tracking. - Partner with SRE leadership in the US to design follow-the-sun on-call rotations, escalation paths, and handoff processes. - Serve as the escalation point for major incidents, drive resolution with urgency, and make sure the team learns from every incident. - Drive technical decisions through design reviews, code reviews, and architectural discussions. Turn the reliability roadmap into clear team priorities and milestones, and hold the team accountable for delivering them. - Lead the team in defining and instrumenting SLOs and SLIs, and in building observability infrastructure (metrics, logging, dashboards, and alerting) as code. - Turn recurring failure patterns and tribal knowledge into runbooks, automated mitigations, and self-healing systems. - Partner with engineering, forward deployed, capacity, and product teams to raise the operational floor across the company, and represent your team’s progress, capacity, and tradeoffs clearly to leadership. - Ensure the fleet is healthy and operational across all clusters. Interact with vendors and internal teams to remediate node failures and reliability concerns. - Exercise and encourage good judgment on tooling and architectural tradeoffs, with a bias against unnecessary complexity. REQUIREMENTS - 4+ years of experience directly managing engineers in an SRE, cloud infrastructure, or platform engineering context. - Extensive hands-on experience with Kubernetes, with the ability to engage credibly in architectural discussions and code reviews (multi-cloud experience across EKS, GKE, or similar is a strong plus). - Strong background building and maintaining scalable production infrastructure. - Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines. - Experience with infrastructure-as-code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD). - Experience leading incident response, running post-mortems, and building on-call rotations and runbooks. - Track record of recruiting and growing engineering talent. - Strong written and verbal communication skills, with the ability to collaborate across time zones and influence without direct authority. - Openness to learning about ML infrastructure. Prior machine learning experience is not required. - Ability to work onsite in our London office 3 days a week. NICE TO HAVE - Experience building a new team or establishing an engineering presence in a new region. - Observability-as-code experience. - Background in multi-cloud and hybrid environments. - Familiarity with incident management platforms (incident.io http://incident.io or similar). - Background in GPU infrastructure, or in diagnosing runtime issues around latency, memory behaviour, GPU utilisation, and concurrency. 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).

We are looking for an AI Developer to join and strengthen our AI department.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Security at ClickUp Security at ClickUp is engineering-focused. We partner with teams across the company to protect our platform, our internal systems and our customers through secure design, defensive controls, detection and response. We build tooling and automation, including AI-powered workflows, to turn what we learn into lasting improvements.   About the team Infrastructure Security at ClickUp secures the cloud, compute, network and access layers underneath ClickUp: a multi-account AWS organization, a large Kubernetes fleet, infrastructure managed as code and the identity systems engineers use to reach production. We are a small team that works agentic first, using AI agents we build and maintain ourselves to multiply what a team our size can cover.   You will support this mission by thinking like a developer, breaking down a problem that we face, testing a method to approach it with automation, and implementing solutions that yield compounding value. Your skills to uncover threat indicators will be the foundation of this work.   The role - Architecture, proposals and reviews. Act as an initial reviewer on infrastructure proposals and designs from engineering and non-engineering teams such as business systems and go-to-market. Write our own security proposals and review the changes that follow. Translate security requirements and agent findings into clear guidance for less-technical partners, and bring their needs back into our designs. - Agentic security tooling and agent infrastructure. Build, evaluate and maintain the agents behind our reviews, triage and investigations, and help run the sandboxed, observable infrastructure they operate on. - Detection, investigation and response. Lead cloud and infrastructure alerts and incidents through to resolution and root cause, working alongside AppSec and incident response on incidents that span both. - Identity, access and least privilege. Move people, CI and services toward least privilege and just-in-time access across our cloud organization and the tooling engineers use to reach production. Deliver fixes as secure building blocks that teams adopt by default. - Compute, network and pipeline security. Harden our container, serverless and virtual machine workloads, our network perimeter and our CI/CD pipelines, and add checks so each class of issue is caught automatically next time. - Continuous review and audit evidence. Move vulnerability, access and attack-surface reviews from point-in-time checks to continuous monitoring that also produces evidence for our infrastructure controls. Qualifications - 5+ years in security engineering, cloud infrastructure or SRE, with at least 2 years securing AWS at organization scale. - At least a year of agentic development experience: building agent skills and tools for real engineering work, and developing and maintaining the development harness they run in, from configuration and permissions to integrations, evaluations and cost controls. You can secure agents against prompt injection, over-privileged tools and unaudited actions, and explain how agents fall into the confused deputy problem and the lethal trifecta. You validate agent output against evidence and decide where human review is required. - Deep AWS IAM experience: IAM Identity Center or an equivalent SSO model, SCPs, permission boundaries, resource and key policies, cross-account trust, and the ability to prove a policy's effect with simulation rather than inference. - Production Kubernetes security on EKS or similar, covering RBAC, workload identity, network policy, admission control and container runtime hardening. - AWS networking for security: VPC design, endpoints and endpoint policies, network and DNS firewalls, egress control, and WAF. - Fluency with infrastructure as code such as Terraform, including reusable patterns, multi-environment rollouts and reading plans for security impact. - Experience with CNAPP, SIEM or runtime security tooling and the cloud detection sources around it, such as CloudTrail, GuardDuty and Access Analyzer. - Experience investigating cloud and infrastructure security events: correlating cloud audit, Kubernetes, identity and network logs to establish what happened, its blast radius and its root cause. - A track record of reviewing architecture and writing design proposals, guiding teams toward secure designs through conversation rather than mandate, mentoring others through reviews, and turning a review into a change another team is glad to make. - Python, Go or TypeScript for security automation. - Clear written and verbal communication, including explaining technical risk to non-technical partners. Most of our work with other teams is asynchronous, so much of the job is a well-evidenced finding, proposal or design note that another team can act on without a meeting. Desirable - Experience using AI agents in a SOC or other incident response workflows. - Sandboxed runtime experience with gVisor, Firecracker or Kata. - Offensive security or red-team experience in cloud and Kubernetes environments. - Policy engines such as OPA or Rego. - Supporting audits like SOC 2 with automated evidence collection.   Our stack AWS, Kubernetes, infrastructure as code, CI/CD with federated identity, an enterprise identity provider, observability and cloud security platforms, and AI agent tooling. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Remote, US MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. MinIO is looking for a hands-on technologist who likes building things and explaining how they work. You don't need a curriculum background; we'll teach you that. You will'll turn AIStor, across objects, tables, files, and agent memory, into labs, videos, and self-paced courses for a wide range of technical audiences: data engineers, developers building agents, AI infrastructure engineers accelerating performance with MemKV, storage administrators, and the partner and internal solution architects who support them. Most of your teaching will be recorded, with live sessions about once a month. This role has real variety. On any given week, you might be building a hands-on lab, standing up an agent memory demo, recording a training video, turning engineering documentation into a teachable module for partners, or adapting a core course for a specific customer deployment. You enjoy that variety. You're as comfortable in front of a camera as you are at a command line. You will collaborate closely with engineering and product marketing. You welcome the freedom and opportunity of being part of a startup and have the self-discipline to identify needs and get things done without waiting to be asked. You will be encouraged to help shape the strategy that the MinIO team executes. Experience in a solutions architect or other customer-facing technical role is a strong plus — it helps you understand how customers deploy and operate storage in production and how to make training land in that context. Experience with competitive software-defined storage platforms is also a plus. Strong oral and written communication skills are essential. What You Will Do Build and maintain courses for AIStor administrators and operators, covering installation, configuration, management, and troubleshooting, and keep them current as the product changes Build curriculum for AIStor Memory and agentic AI use cases, turning orchestration and memory concepts (context assembly, agent state, retrieval) into practical, hands-on training Turn engineering documentation and demos into training modules for partners Adapt core courses for specific customer deployments and industries Build hands-on lab environments with Terraform, Ansible, and Docker, and test them end to end before release Write course content as code: Markdown in git and GitHub, with branches and pull request review Record and edit short demo and training videos for MinIO Academy, YouTube, and LinkedIn Deliver live and recorded training sessions for internal teams and partners Use approved AI tools such as Claude Code to speed up authoring, testing, and review Your Skills and Experience Working proficiency in Linux Demonstrated ability to turn engineering material (documentation, specs, demos) into teachable content 5+ years in a solutions architect or equivalent customer-facing technical role 3+ years of experience with software-defined storage, cloud storage, or Kubernetes; hands-on experience with MinIO or competitive platforms (Vast, Cloudian, Weka) is a plus 1+ years of experience with agentic AI infrastructure (e.g., agent memory/orchestration platforms such as LangChain/LangGraph, Mem0, Letta, AWS Bedrock AgentCore, Google Vertex AI Memory Bank) or memory/vector infrastructure (Pinecone, Weaviate, Redis) Experience teaching live and on camera Comfort with Terraform, Ansible, Docker, Python, and related tooling 1+ years building and maintaining workflows in git and GitHub Experience with AI-assisted development tools such as Claude Code Previous experience with curriculum development or formal training delivery What We Offer Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Professional Services Engineer at GitLab, you'll work directly with customers to deliver installation, migration, training, and advisory services that help them adopt GitLab successfully. You'll lead engagements from single-node Omnibus installs to large reference architectures built with infrastructure as code (IaC) and configuration as code. You'll also guide migrations from other systems to GitLab SaaS or self-managed deployments, and help customers make practical decisions that improve reliability, security, and day-to-day workflows. In this role, you'll work closely with customers and GitLab's product and engineering teams to drive customer success and share feedback that improves GitLab and how we deliver services. You'll manage multiple projects at once, mentor other Professional Services Engineers, and help streamline how we deliver consistent outcomes in a remote, largely asynchronous environment. Some examples of our projects: Designing and delivering GitLab installations and reference architectures using tools like Terraform and Ansible across major cloud providers Leading migrations to GitLab SaaS or self-managed GitLab, and turning customer feedback into actionable improvements for GitLab's product and engineering teams What you’ll do Deliver GitLab Professional Services engagements, including installation, migration, training, and advisory services across GitLab capabilities. Plan and execute deployments ranging from single-node Omnibus installations to large reference architectures using Infrastructure as Code and Configuration as Code practices. Lead migrations from multiple source systems to GitLab SaaS or self-managed GitLab, helping customers adopt secure, reliable workflows. Partner with Engagement Managers and Project Managers to improve delivery consistency, remove friction, and continuously refine delivery processes. Serve as a trusted technical advisor for customers, translating goals and constraints into practical implementation plans and clear next steps. Interface with GitLab's product and engineering teams to unblock customer outcomes and share feedback that helps improve GitLab features and services. Mentor Associate and Intermediate Professional Services Engineers, providing technical guidance, helping remove blockers, and supporting increased autonomy. Manage and deliver multiple customer engagements at once, either as the primary engineer or as a lead providing oversight and direction to other engineers. What you’ll bring Professional exposure with one or more infrastructure as code or configuration as code technologies such as Terraform, Ansible, Packer, Puppet, or Chef. Professional exposure with two or more cloud providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure. This role has a location requirement - Charlotte, NC or nearby - on site at the Customer location in Charlotte, 5 days a week. Experience using, deploying, or configuring GitLab, including a solid understanding of Git and source control workflows. Experience delivering customer-facing services such as installation, migration, training, and advisory engagements across GitLab's feature set. Proven ability to independently manage one or more projects and to lead and provide direction to other Professional Services Engineers on complex engagements. Strong communication skills in English, written and verbal, with the ability to provide clear status updates and build consensus with peers and customers in a remote, largely asynchronous environment. Demonstrated ability to take a solution-oriented approach by identifying root causes, proposing options and tradeoffs, and driving issues to resolution while balancing multiple customer engagements in a fast-paced environment. Demonstrated ability to work effectively in a fully remote organization by communicating clearly in writing, documenting decisions, collaborating asynchronously across time zones, and working in ways consistent with GitLab's values. About the team Senior Professional Services Engineers are part of GitLab's Professional Services team. We partner closely with Engagement Managers and Project Managers to deliver consistent outcomes, and we work with GitLab's product and engineering teams to share customer feedback and improve GitLab. Professional Services operates in a fully remote and largely asynchronous environment, collaborating across regions and time zones. The team's challenge is to support customers with a wide range of architectures and deployment models while maintaining high-quality delivery and setting customers up for long-term success. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $140,400 — $210,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

- Develop and maintain the API for a customer-facing financial data collection product. - Manage AI agents (Claude Code, Codex): write prompts, review agent output, keep instructions up to date.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Application Platform is part of Product Platform within Figma’s Infrastructure organization. We build shared foundations that help engineers ship backend product work quickly, safely, and reliably. The team owns a large Ruby application that powers Figma’s REST APIs, asynchronous jobs, and workflow orchestration. Our systems sit on critical production paths and shape the day-to-day experience of backend engineers across Figma. We’re looking for an experienced backend engineer with meaningful production Ruby experience who enjoys building for other engineers. You don’t need to be a Ruby language specialist. You should be comfortable making informed tradeoffs in a substantial shared codebase and turning recurring problems into durable systems, tools, and paved paths that improve engineering velocity across the company. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Design and evolve shared Ruby frameworks for REST APIs, asynchronous jobs, workflow orchestration, and data access Improve the availability, reliability, scalability, and performance of backend systems that support critical product functionality Modernize a large Ruby codebase through safe architectural changes, including moving REST APIs from Sinatra toward Rails and introducing stronger endpoint abstractions and type safety Make backend development faster by improving hot reloading, local workflows, test infrastructure, CI reliability, debugging tools, and iteration speed Strengthen the scalability, isolation, observability, and recovery capabilities of Figma’s asynchronous job platform Partner with product engineers—your customers—and Infrastructure teams to identify recurring pain points and turn them into reusable platform capabilities Establish pragmatic engineering practices through shared libraries, APIs, documentation, tooling, code review, and technical guidance Mentor other engineers and contribute to a culture of thoughtful execution, high technical standards, and shared ownership We’d love to hear from you if you have: Bring 5+ years of professional software engineering experience, including 3+ years building production systems with Ruby Build, maintain, and evolve large Ruby applications and shared backend codebases that support multiple engineering teams Design reliable distributed systems at production scale, including APIs, background processing, testing, observability, and operations Improve complex, established systems through architecture, modularization, migrations, performance, reliability, or developer tooling Create scalable abstractions, navigate technical tradeoffs, and collaborate with and mentor engineers across teams While it’s not required, it’s an added plus if you also have: Build or operate background-job and workflow systems, with an understanding of concepts such as retries, idempotency, scheduling, backpressure, isolation, or failure recovery Work with cloud and infrastructure technologies such as AWS, Kubernetes, Terraform, or workflow systems like Temporal Improve developer productivity through test performance, local development workflows, CI, or large-scale code migrations At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $235,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Singapore, Singapore About the Team OKX Internal Audit is the organization's independent third line of defense, reporting to the Board and the Group Audit and Risk Committee on the design and effectiveness of governance, risk management, and internal controls across a global, multi-entity crypto exchange. The function executes a risk-based annual audit plan covering financial, operational, technology, security, and regulatory risk, and operates with full, unrestricted access to systems, records, and personnel. Within Internal Audit, the Platform & Infrastructure team sits inside the Global Platform & Engineering (GP&E) team and owns assurance over the technology foundation that keeps the exchange running: network administration, cloud infrastructure and infrastructure-as-code, containerization and orchestration, middleware services, site reliability and disaster recovery, and the data pipelines feeding OKX's financial and operational systems. Reflecting a multi-cloud environment (AWS, Alibaba Cloud, GCP) supporting live trading, custody, and customer-facing operations on a global scale. About the Role As Senior Manager, Platform & Infrastructure Audit, you'll be a hands-on, deeply technical individual-contributor auditor who owns critical assurance projects spanning the cloud infrastructure and DevOps lifecycle, from platform build and configuration through CI/CD pipelines and hands-on ITGC validation. You'll bring subject matter expertise to both dimensions of AI in scope: auditing AI (assessing how OKX's AI/ML systems are built, governed, and monitored) and auditing with AI (applying AI tools to your own scoping, testing, and reporting) while also flexing into adjacent domains such as cloud security and identity, resilience engineering, secure SDLC, and data engineering. You'll help shape the risk-based audit plan by identifying emerging infrastructure risks, and partner closely with Engineering, SRE, and Security stakeholders to deliver findings and recommendations that hold up in a fast-moving, high-technology crypto environment. What You'll be Doing Cloud Infrastructure & Platform Engineering Audit (SME): Deep, hands-on expertise auditing cloud platforms (Alibaba Cloud, AWS), containerization and orchestration (Docker, Kubernetes), CI/CD pipelines, and infrastructure-as-code (Terraform, Helm). AI Use, Adoption & Governance: Two dimensions, both required. Auditing AI: Assessing how AI/ML systems are built, deployed, and monitored — model and data lineage, training-data provenance and quality, access to models and prompts, human-in-the-loop and approval controls, evaluation and drift monitoring, and alignment to emerging AI governance and regulatory expectations. Auditing with AI: A demonstrated bias toward using AI in your own audit work — scoping, evidence review, control testing, script generation, and reporting — and an interest in helping the function build reusable AI-enabled audit tooling. What We Look For in You Crypto & Blockchain Acumen: Prior experience at a crypto exchange or with a crypto product is preferred. Critical Thinking for Complex Environments: A proven capacity to analyze novel technical and control environments unique to crypto, identify intricate root causes, and propose effective, context-specific remediation that engineering teams will actually adopt. Breadth Across Adjacent Platform Domains: Demonstrable experience auditing control design and operating effectiveness in several of the following: Cloud security and identity — IAM, network segmentation, secrets management, encryption and key management Site reliability and resilience — observability, incident and problem management, capacity, backup and disaster recovery Software development lifecycle — code review, branch protection, artifact integrity, secure SDLC, third-party and open-source dependency risk Data engineering and analytics — integrity and quality of data pipelines and ETL processes AI/ML platform and MLOps — model registries, feature stores, inference infrastructure, and the data feeding them Nice to Haves Cloud or Security Certifications: AWS or GCP professional-level certification, Certified Kubernetes Administrator (CKA), CISA, CISSP, or CCSK/CCSP. Crypto and blockchain literacy: regulated financial-services, fintech, or crypto experience. Mandarin speaking 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. 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 .