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Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is a data company, and data is our most valuable asset. The Data, Analytics & AI (DAA) organization turns WHOOP data into trusted intelligence that sharpens every team's decisions. As the data and AI ecosystem grows, making that data trustworthy and safe by default has become a strategic capability, so every product built on it can be relied on. We are seeking a Director, Data Governance to lead the function as a new pillar within the DAA organization. You will report to our VP of Data, Analytics and AI Acceleration. As the first dedicated leader of this function, you will define the strategy, operating model, and roadmap for data ownership, contracts, event taxonomy, cataloging, access policy, data quality standards, and privacy and compliance. Governance sets the policy and standards; the Data Platform & Engineering pillar engineers and implements them, so this role leads through influence, clear standards, and strong cross-functional partnership. WHOOP operates a mature data platform. This role builds the governance layer on top of it: formal ownership models, data contracts, an event taxonomy, cataloging and discovery, classification frameworks, and the policies that let the company scale into regulated environments without slowing down. You will build and lead a team and champion intelligent, AI powered approaches to continuously monitor the health and trust of our data. You should be equally comfortable setting strategy and rolling up your sleeves, and as effective presenting a data classification framework to senior leadership as you are working through a data quality standard with an engineer. Working across Data Platform & Engineering, Analytics, Data Science, Product, GRC, Legal, InfoSec, and RAD, you will earn trust across technical and business teams, drive adoption, and ship enforceable governance outcomes. RESPONSIBILITIES - Define and lead the data governance strategy, operating model, and roadmap spanning data ownership, contracts, event taxonomy, cataloging, access policy, data quality standards, and privacy and compliance (HIPAA, GDPR, CCPA), aligned with the DAA strategy. - Build, lead, and coach a small, senior team, developing your people while partnering closely with Staff level technical leaders across the org. - Establish a formal data ownership model, partnering with engineering and business stakeholders to assign stewardship and accountability for critical datasets. - Define the standards for data contracts between producing and consuming teams, covering schema stability, SLA adherence, and breaking-change management, with implementation owned by Data Platform & Engineering. - Own the event taxonomy governance framework, bringing structure to event tracking and standardizing how product and engineering teams define, name, and instrument events across platforms. - Set data quality standards (freshness, validation, monitoring) and the incident response expectations, partnering with Platform to operationalize automated testing and anomaly detection. - Champion AI powered governance approaches that proactively surface quality issues, ownership gaps, policy violations, and compliance risks. - Partner with GRC, Legal, and InfoSec to define the privacy, HIPAA, and compliance standards for how sensitive data is handled, which the platform then implements. - Define role-based access policy across the data platform, balancing security with self-service accessibility, with enforcement engineered by Platform. - Embed governance standards directly into engineering and developer workflows so the right way is the easy way, rather than relying on manual processes. - Develop governance metrics and reporting to track adoption, compliance, and data health across the organization. - Build a culture where trusted data is a shared responsibility across technical and business functions. QUALIFICATIONS - 10+ years in data, engineering, or data governance roles, with a strong background in data governance, data quality, data engineering, or data platform. - 4+ years of experience leading and building teams. - Direct experience building data governance programs or frameworks, ideally in a high-growth environment where governance was not yet formalized. - Hands-on experience with modern data stack tooling: Snowflake, dbt, Airflow/orchestration, and data catalog/lineage tools. - Working knowledge of healthcare data regulations (HIPAA), or willingness to develop deep expertise quickly given the WHOOP expansion into regulated healthcare products. - Experience implementing data quality frameworks with automated monitoring and alerting. - Experience with access control design and administration in cloud data platforms (Snowflake RBAC, row-level security, dynamic data masking). - Ability to drive cross-functional alignment on data standards and policies, and to lead highly cross-functional initiatives. Comfortable influencing engineering, product, and business teams. - Experience operating in regulated environments. - Proven track record managing data oversight for complex research initiatives, such as IRB-regulated studies or trials or regulatory filings for the FDA. - Excellent executive communication and organizational leadership. Able to translate technical governance concepts into business value for non-technical stakeholders and senior leadership. - A player-coach orientation. Willing to be deeply hands-on while building repeatable processes and growing a team. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. *This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $190,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Valencia Workplace: Hybrid DESCRIPTION Role highlights:   - EHS (Environment, Health and Safety) Senior Specialist - Location: Valencia - Department: GMO - Reports to: Global EHS (Environment, Health and Safety) Manager - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO, where required)   Why this role matters:   As an EHS Specialist, you will support the implementation and continuous improvement of our Environment, Health & Safety programs across our site in Valencia. You’ll play a hands-on role in keeping our people safe, our operations compliant, and our safety culture strong. Operating as a standalone position within the Valencia facility, you will have strong cooperation with local leadership and global EHS management.   Who We Are   ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.   ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.   ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.   Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.   Your day-to-day responsibilities Safety & Compliance - Ensure facility compliance with local, national, and international EHS regulations - Conduct regular workplace inspections, hazard identifications, and risk assessments in accordance with global practices - Maintain and update local EHS policies, procedures, and standards - Manage permits, licenses, and regulatory reporting requirements Incident Management - Lead incident investigations, root cause analyses, and follow-up on corrective/preventive actions - Maintain accurate records of near-misses, incidents, injuries, and environmental events - Report EHS metrics and KPIs to management on a regular basis Training & Engagement - Develop and deliver EHS training programs for employees at all levels - Coach supervisors and team leaders on EHS responsibilities and best practices - Represent Valencia in ICEYE's Global OHS Network - Drive local safety culture initiatives Environmental Management - Monitor and manage waste, emissions, water, and energy consumption - Coordinate with contractors and vendors to ensure EHS requirements are met on site - Support environmental permit compliance and audits Emergency Preparedness - Maintain and test emergency response plans and procedures - Coordinate fire drills, evacuation exercises, and first aid/emergency response teams What we’re looking for   Must haves:   - Bachelor’s or master’s degree in Occupational Health & Safety, Engineering, or a related field - 5+ years of EHS experience in a manufacturing or industrial environment - Solid working knowledge of Spanish EHS legislation and regulatory frameworks - Proficient in EHS management systems (ISO 45001 and ISO 14001) and data reporting tools - Strong analytical and problem-solving skills (experience in 5-Why, fishbone, or other RCA methodologies) - Excellent communication and interpersonal skills - Organized, detail-oriented, able to manage multiple priorities simultaneously   Nice to haves:   - Familiarity with Lean, 5S, or continuous improvement methodologies - Experience working with contractors and managing permit-to-work systems   Application Process   - Talent Acquisition Interview - Hiring Manager Interview - Technical/Case Study Interview - Final Interview with the local team   Working at ICEYE   At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.   How We Work (Our Values)   - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.   - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.   - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.   - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.   - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.   - Have fun: What we do matters - and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.   Benefits   Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   Our Commitment to Diversity, Equity, and Inclusion   We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.   We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.   Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com.

Location: Bulgaria Company Background Our client is a travel technology company developing cloud-native, AI-powered software for airlines and hospitality brands. Its products help customers improve commercial performance, reduce costs, and evolve their digital commerce capabilities. The company’s technology is designed to work alongside existing airline systems, allowing customers to introduce new capabilities without replacing their current technology landscape. Project Description You will contribute to a large-scale greenfield travel-technology initiative supporting the launch of a new airline operation. The project uses a modern commercial platform to enable flexible retailing, pricing, and digital shopping experiences across travel products and ancillary services. Technologies GCP, AWS Wiz Cloudflare WAF, Bot Management, DNS, TLS, DDoS Protection and Rate Limiting Terraform SonarCloud and Dependabot Jira, PagerDuty and Slack Python and Bash What You'll Do Own and continuously improve cloud security posture across GCP organizations and AWS accounts, including connector coverage, runtime sensor deployment on production clusters, custom policy development, finding-triage baselines, and integrations with Jira, PagerDuty, and Slack; Operate and evolve the edge security layer, centralizing internet-facing protection through Cloudflare WAF, bot management, rate limiting, DNS/TLS, and origin routing for customer-facing production zones; Tune security rules using real production traffic, manage allow-list requests, and enable other teams to use edge-security tooling effectively; Support and automate vulnerability management and secure configuration, maintaining the intake of Wiz, SAST, penetration-test, and customer-reported findings, defining remediation baselines, and driving owners to closure; Participate in security incident response for cloud events, including DDoS and bot attacks, supply-chain alerts, credential exposure, and data-handling incidents, while creating and maintaining detection, triage, and mitigation runbooks; Help secure the software supply chain by owning SAST reporting in SonarCloud, dependency scanning with Dependabot, container base-image hardening, and the selection of SBOM and SCA tooling, and publish release-level security reports for engineering teams; Produce technical evidence for SOC 2, PCI DSS, ISO 27001, and NIS2, including evidence of log-sink configuration and retention, access reviews, authenticated scanning, and IAM remediation, and map Wiz controls to relevant frameworks to make evidence collection repeatable; Enable security self-service by training Platform, CloudOps, and Product Engineering teams on the tools they use, including Wiz and Cloudflare administration, mapping service catalogues to owners, and automating recurring customer-security and issue-triage reporting through scripting and AI-assisted workflows; Advise and partner with engineering teams on the security of new platform integrations and AI/RAG services, contributing to the annual cloud-security roadmap and target-state architecture; Job Requirements 5+ years of experience in cloud security or platform engineering with a security focus, including hands-on experience with GCP or AWS across IAM, audit logging, log routing, network security, and workload protection; Production experience with a CNAPP/CSPM platform, such as Wiz (preferably) / Prisma Cloud / Orca / Google Security Command Center, including policy authoring, integrations, and runtime protection; Hands-on administration of a WAF, CDN, and bot-management stack at scale; Strong Terraform experience, including building modules for security tooling and WAF configuration, reviewing changes, and managing configuration drift and legacy infrastructure; Experience with vulnerability management across cloud infrastructure, containers, and code, including SAST, SCA/dependency scanning, container image hardening, and penetration-test remediation tracking; Experience routing cloud security signals to a SIEM or security-monitoring platform, such as Wazuh, Microsoft Sentinel, Google Security Operations, or Datadog Security Monitoring, and integrating actionable alerts with PagerDuty and Slack; Scripting skills in Python or Bash for automation and security reporting; Security incident-response experience in a production environment, including developing runbooks and managing vendor escalations; Clear written and verbal communication skills, with the ability to train engineering teams and document security decisions; Nice To Have Experience automating security workflows, such as report generation and issue triage, with AI-assisted or LLM-based tooling; Experience working across both GCP and AWS, experience with Azure; Familiarity with Rego, OPA, or other policy-as-code languages; Experience with identity and access-management tooling, including Okta SSO/SCIM, PAM solutions, and least-privilege reviews for cloud IAM; Experience facilitating OWASP SAMM assessments, threat-modelling sessions, or security-champions programs; Airline or travel-industry experience, including PCI-scoped payment flows, partner integrations, and customer-facing security reporting; Experience supporting compliance with PCI DSS, SOC 2, ISO 27001, or NIS2; Certifications such as Google Professional Cloud Security Engineer, CCSP, or AWS Certified Security – Specialty; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE Supabase manages millions of Postgres instances and is growing. We have strong teams across observability, release engineering, and incident management — and we're concentrating our reliability efforts into a dedicated SRE practice that ties the discipline together across the platform. You'll be embedded within Service Operations, and your primary job is to make every engineering team more reliable — not by owning their infrastructure, but by establishing the practices, frameworks, and feedback loops that let them own reliability themselves. You'll work across the org: sometimes setting the standard, sometimes pair-programming a fix, sometimes helping a team define their error budget, sometimes telling them it's exhausted. This role is ideal for someone who has a strong vision for how SRE should work and thrives in async, fast-paced environments where influence matters more than authority. WHAT YOU'LL OWN - Partner with service teams to define meaningful SLIs and SLOs grounded in customer experience, and build the error budget policies that turn them into engineering decisions - Own and evolve the Operational Readiness Review (ORR) process — conducting reviews for new services and major changes across observability, alerting, runbooks, capacity, and graceful degradation - Strengthen the incident-to-improvement pipeline: connecting postmortem findings to operational readiness gaps, identifying repeat failure patterns, and driving systemic fixes - Act as the reliability expert teams pull in for architecture reviews, failure mode analysis, dependency mapping, and resilience design - Identify and quantify operational toil across the org, and build or advocate for automation that eliminates it - Help teams design sustainable on-call practices: alert quality, escalation paths, runbook coverage, and noise reduction - Track and report on org-wide operational maturity, surfacing systemic gaps and driving remediation YOU MIGHT BE A GOOD FIT IF YOU - Have 7+ years of experience in SRE, production engineering, or reliability-focused roles, including experience shaping SRE practices and driving adoption across engineering teams - Have a software engineering mindset — you write code and build tools, not just configure them - Have hands-on experience defining and operationalizing SLOs/SLIs at scale, including error budget policies that actually influenced engineering decisions - Have deep experience with incident response, postmortem facilitation, and turning incident learnings into systemic improvements - Have worked with large-scale multi-tenant systems (bonus: managed database platforms or Postgres) - Are proficient with cloud infrastructure (AWS preferred) and infrastructure-as-code (Pulumi preferred, Terraform/CDK also acceptable) - Communicate clearly and persuasively — this role requires influencing without authority across a distributed org - Have experience in async or globally distributed teams - Are energized by making other teams more effective rather than being the one who fixes everything NICE TO HAVE - Experience with Kubernetes-based platform operations - Familiarity with OpenTelemetry, VictoriaMetrics, Grafana, or similar observability tooling - Experience building developer-facing reliability tooling (SLO dashboards, ORR frameworks, toil tracking, DORA metrics) WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: UAE - Dubai; Poland; UK; Portugal Workplace: hybrid 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you're someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. The Role As Tech Lead, iOS, you’ll be the primary technical owner of the 1inch Wallet iOS application. This is a hands-on individual contributor role with no direct people management responsibilities. You’ll own the app’s architecture and development, improve its CI/CD workflow and monitor it after release. You’ll work on wallet features including perpetual trading, prediction markets and DeFi staking, collaborating with the Product Owner, Android Lead and QA. You’ll also use AI-assisted tools in development and testing, applying sound engineering judgement to the code and tests they generate. What you’ll do Own the iOS architecture and technical direction, balancing feature delivery, maintainability, performance and security. Build and improve modular, testable application components, and guide implementation across complex wallet flows. Implement wallet features and technical improvements across the iOS application. Integrate the application with backend services, blockchain networks and related wallet services. Work with Product, Android, Backend, Blockchain and QA on shared product behaviour, API integrations, test coverage and defect investigation Use AI-assisted tools in development and testing, reviewing and validating their output against engineering, quality and security standards. Protect sensitive information by keeping private keys, recovery phrases, credentials and user data out of AI prompts and inappropriate logs. Own and improve the iOS build and CI/CD workflow; monitor releases, investigate production issues and coordinate fixes and improvements to stability. Who you are You have strong hands-on iOS development experience with Swift, including experience building production applications. You have practical experience working on a Web3 product, such as a wallet, DeFi application or product integrating with blockchain networks, and an understanding of crypto and trading. You have experience with iOS build and CI/CD workflows and monitoring production applications. You have experience making technical and architecture decisions for an iOS application. You communicate technical trade-offs clearly and work well with Product, Android and QA. You are comfortable taking ownership of the iOS application while working independently as its primary iOS technical owner. You are pragmatic: you can move quickly while keeping reliability, security and maintainability in mind. You use AI tools thoughtfully, question their output and take responsibility for the code you deliver. Nice to haves Experience building or maintaining a non-custodial wallet. Experience with transaction signing, wallet recovery or transaction lifecycle flows. Experience building modular, testable applications and handling asynchronous operations and network failures. Experience with security-sensitive mobile functionality, mobile security reviews or incident response. Hands-on experience with UIKit or SwiftUI; experience with both is not required.

Un(e) Développeur(-euse) Expérience IA est responsable du cycle de vie complet des parcours que nos clients vivent avec l'agent IA d'Upgrade par clavardage, par téléphone et par courriel : création, optimisation, gestion des cas particuliers et augmentation du taux de résolution autonome. Création de parcours :

Самостоятельное выявление угроз, анализ рисков, расследование инцидентов и внедрение технических мер защиты. • Опыт в Cybersecurity / Information Security от 3 лет.

Location: US: San Mateo (1875 South Grant Street); CAN: Toronto (111 Richmond Street West); CAN: Vancouver (333 Seymour St); US: Washington Remote Worker Workplace: Hybrid Team: Accounting Core Location / work arrangement: San Francisco, San Mateo and Seattle (Hybrid) Employment type: Full Time About the Role Xero’s ledger is the source of truth for millions of businesses, and every product we ship is built on top of it. We are rebuilding this integrity layer for the next 20 years, and we are standing up the Vancouver engineering hub around it from day one. As Lead Engineer, you will make the architectural decisions that set the course for the platform and the team, and you will see those decisions reach every customer who depends on Xero to get their numbers right.   THE TECHNICAL CHALLENGES - Correctness at scale. Accounting data has to be consistent, auditable, and immutable. There is no “close enough,” and every change to the ledger has to preserve that guarantee across regions and regulations. - Evolving a mature system. We are adding real-time expectations to a platform that millions of businesses depend on daily. That means strengthening service boundaries and clarifying data contracts without compromising reliability. - Durable, high-throughput services. We use durable execution (for example, Temporal) to keep long-running financial workflows accurate and recoverable under load. - AI-ready data. We are structuring accounting data so it can power AI-native experiences while maintaining trust in the numbers.   IMPACT - First six months: You understand the ledger and its consumers, align the team on service boundaries and data contracts, and ship a first modernization increment with no loss of data integrity. - First twelve months: - You have set the architecture for the core accounting capabilities (general ledger, journals, chart of accounts, multi-currency). - The Vancouver engineering team has clear ownership and quality standards, thanks in part to your leadership and role modeling. - Your work reaches customers through every product built on the ledger, and the decisions made now will shape Xero for years.   OWNERSHIP You will own the technical direction for your area of the accounting platform, from design through production and on-call. You will make architectural decisions on service boundaries, data contracts, and technology choices without needing sign-off, and you will be accountable for reliability and data integrity end to end. You will also help set hiring, quality, and ownership practices for an early and growing team, which will compound over time.   WHO YOU’LL WORK WITH Bernardo Farah is the Director of Engineering for Accounting Core. He has over 10 years of SaaS software experience, including six years building platforms and growing teams at Samsara. WHAT YOU BRING MUST-HAVE: - You set the standard for your team in AI-assisted development, operational excellence, and flexible architecture. - A track record delivering highly available, distributed backend systems and designing high-throughput services under production constraints. - Depth in system architecture, API design, and both SQL and NoSQL databases - Proficiency in a modern backend stack such as C#, Java, Go, or C++, plus cloud-native platforms like AWS. - You demonstrate strong ability in breaking down complex problems into clear, actionable solutions while driving agile execution to deliver results. NICE TO HAVE: - Experience with financial, ledger, or accounting systems, or other domains where data integrity is critical - Experience with durable execution or workflow engines such as Temporal - Experience modernizing a mature system without disrupting customers   HOW WE WORK Process is a tool for impact and we adjust accordingly. We use an agile approach to ship outcomes, not to follow ceremony. Code and design reviews are where we trade ideas and hold the quality bar, and we are figuring out how to use LLMs to reduce how much code humans have to write and review by hand. Our on-call rotation draws on a healthy pool of engineers and turns incidents into learning through postmortems. Decisions are made at every level, and we make sure everyone has the strategic context to raise proposals and drive innovation.     Our Hiring Process - Stage 1: Real World coding assessment, 45 Mins - Stage 2: Systems Design assessment, 45 Mins - Stage 3: Technical Deep dive, 60 Mins - Stage 4: Values/ Future Proof, 60 Mins - Stage 5: Leadership interview, 60 mins   Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. We are also tech stack agnostic, so please apply if you've worked with adjacent technologies. Compensation Philosophy At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The base salary range for this role in $206,000 to $260,000 USD Please note that this range represents base salary only. We believe in rewarding our people for their total contribution, which is why we look at compensation through a holistic lens. In addition to base pay, your total package may include: - Variable Pay: Eligibility commissions or equity based on role and performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. - Xero Perks: Inside Xero https://careers.xero.com/inside-xero/benefits-wellbeing/ Explore our full suite of benefits, from wellbeing initiatives to professional development. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add. We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas: Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online. Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform. Inference engine. The software between the accelerator kernels and the routing layer that serves every request. Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance. This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like. Key responsibilities Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery. Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path. Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision. Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps. Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org. Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams. Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion. Own inference readiness for model launches alongside our launch TPMs. Minimum qualifications 7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it. Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking. A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly. A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep. The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers. Strong written communication, including plans, reviews, and executive updates that many teams depend on. Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit. Care about Anthropic's mission and about serving frontier AI safely and reliably. Preferred qualifications Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing. Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform. Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services. Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity. Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work. Familiarity with Kubernetes-based orchestration and job scheduling. Experience working with research teams and turning their needs into infrastructure requirements. Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco 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 Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload. Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren’t designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren’t built for this, and patching around those limitations at higher layers only goes so far. Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabric team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world’s top containerd maintainers. As Engineering Manager for Storage Products on the Runtime Fabric team, you will lead the engineers who build and run the storage products behind that stack: the Baseten Delivery Network (BDN), which sits in the cold start path of every model on the platform, the snapshotters and filesystems that expose model weights and container images to a running container, and the storage that model deployment and training need next. The team is advancing the next generation of caching for inference workloads, from the origin tier to the GPU host. You will own reliability for the area as a measured outcome, report to the head of Runtime Fabric, and stay close to the code through design and code review. If you’ve managed systems engineers and have hands-on experience with caching, content-addressable storage, or distributed filesystems, we’d love to talk. EXAMPLE INITIATIVES - How the Baseten Delivery Network (BDN) makes cold starts fast https://www.baseten.co/blog/how-the-baseten-delivery-network-bdn-makes-cold-starts-fast/ - Extending BDN from model weights to container image layers, training checkpoints, and deployment artifacts - Lazy-loading snapshotters and block-level delivery (EROFS, FUSE, ublk) so a container can start before the full image or model has arrived RESPONSIBILITIES Team Leadership and Culture - Hire and grow a team of 5 to 10 systems engineers with storage, caching, and Linux expertise - Run the team’s planning and delivery: scope work against the Runtime Fabric roadmap, set priorities, and ship on a predictable cadence - Provide regular coaching, feedback, and career development support to your direct reports - Own on-call health for the team’s services, including escalation paths and follow-through on incidents Technical Direction - Guide the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery product that makes cold starts 2-3x faster and eliminates thundering herd failures during burst scaling events - Shape storage products tailored to Baseten’s workloads: extend BDN from model weights to container images, training checkpoints, and deployment artifacts, and define the interfaces that model deployment, training, and customers use to reach them - Oversee the on-host side of delivery: lazy-loading snapshotters, EROFS and overlayfs layouts, and block-level delivery (FUSE, ublk) for multi-gigabyte files - Own reliability of the delivery path as a measured outcome: end-to-end instrumentation from snapshotter initialization to first inference request, targets for cold start and cache behavior, tolerance for failing upstream registries and object stores, and safe rollout of changes to a path every customer depends on - Make the delivery path work across heterogeneous clusters and cloud providers, each with its own object store and network - Review designs and code across the area, and take on hands-on work where it unblocks the team - Champion the team’s contributions back to containerd and the snapshotter ecosystem alongside the maintainers on the Runtime Fabric team Cross-Functional Partnership - Act as the point of contact for storage across Baseten, ensuring model deployment, training, and platform teams have the integration support they need - Optimize requirements for the underlying storage platforms with the infrastructure team: object storage, local NVMe and block storage, and network bandwidth per cluster, so that capacity and provider decisions account for what the delivery path needs - Manage the team’s dependencies in both directions: sequence work that model deployment, training, and infrastructure teams block on, and negotiate interfaces and timelines with the teams and upstream projects the storage path depends on - Work with the head of Runtime Fabric and product stakeholders to prioritize storage investments based on customer impact and infrastructure reliability - Communicate team progress, technical trade-offs, and incidents clearly to the team and to leadership REQUIREMENTS - Experience managing a team of engineers in a systems, infrastructure, or storage context, including hiring and performance management - Hands-on background in distributed storage systems, content-addressable storage, or large-scale caching infrastructure - Strong systems programming background in Go, Rust, and/or C/C++, with the ability to engage credibly in code reviews and architectural discussions - Working knowledge of the Linux storage stack: filesystems, the page cache, block devices, and mounts - Understanding of how container images are structured, stored, and delivered at scale - Strong written and verbal communication skills, with the ability to influence without authority across teams NICE TO HAVE - Contributions to containerd/containerd, snapshotter projects (stargz, soci, nydus, overlaybd), distribution/distribution, or closely related open-source projects - Familiarity with lazy-loading snapshotters or peer-to-peer image distribution - Experience with EROFS, FUSE, ublk, or io_uring - Experience building or operating CDN, object storage, or large-scale caching infrastructure - Experience running storage services on Kubernetes 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).

- Берёт ответственность за качество крупного модуля или продукта, в том числе при неполных и неоднозначных требованиях. - Глубокий опыт тестирования сложных web/backend/API и интеграционных систем, включая работу с неполными или неоднозначными требованиями.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE At Sentry, Support is an engineering discipline. Our customers are developers, and they expect answers from people who can read their stack trace, open the SDK source, and tell them what's actually wrong. We're hiring a Senior Manager to lead Support Engineering. You'll run the team that handles everything from a single developer's SDK question to a production incident at one of our largest enterprise customers. You'll also help drive how we use AI in support: what systems are used, how they best help customers, enable the teams, and how we know the answers they give are right and forward looking. This is a hands-on leadership role. You'll manage people, set the support strategy, get face to face time with customers, while also getting into tickets when it matters. IN THIS ROLE YOU WILL Lead and grow the team - Manage and coach a team of Technical Support Engineers - Set clear expectations for technical depth, response quality, and ownership, and give direct feedback - Design a coverage model that works across time zones, including on-call and escalation paths - Build career paths for Support Engineers who want to go deeper technically, move into management, or move into different teams and practices Own support outcomes - Own and report the team's core metrics: CX, time to resolution, escalation rate, and more - Use support conversations as a signal: find the top drivers of tickets and get them fixed in the product, the docs, internal operations, or the SDKs, not just answered faster Run AI-assisted support - Own the roadmap for our support agents: which request types they handle, what context they need, and when they hand off to a person - Set the quality bar for agent answers and the process for catching incomplete ones - Decide where automation is worth building and where it isn't, based on data Handle escalations and partner across Sentry - Run the escalation process with Engineering: make sure bugs reach the right team with a reproduction and clear impact, and that customers hear back - Be the support lead on high-stakes enterprise issues, working with Customer Success, Solutions Engineering, and Sales - Bring a clear picture of customer pain to Product and Engineering, backed by numbers YOU'LL LOVE THIS JOB IF YOU - Think great support is an engineering problem, not a staffing problem - Want to build the team and the systems at the same time - Can debug a tricky SDK issue yourself and also explain to a VP why their incident took four hours - Would rather fix the cause of 200 tickets than answer them faster - Have strong opinions on where AI helps in support and where it makes things worse, and be willing to discuss this at length. QUALIFICATIONS - 8+ years in technical support, support engineering, or software engineering at a SaaS or developer tools company - 3+ years managing technical support engineers, including hiring and growing a team - Technically credible with senior engineers: comfortable reading code in at least a few of Python, JavaScript/TypeScript, Java, or Ruby, and debugging across frontend, backend, and infrastructure - Solid understanding of distributed systems, APIs, and how observability tools (errors, tracing, logs) fit into them - Hands-on experience running AI or automation in a support org, and a clear view of its failure modes - Track record of using support data to drive product and process changes - Clear, direct written communication with customers, executives, and engineers Bonus - Experience at a developer tools or observability company - Former software engineer - Managed a team spread across multiple time zones - Open source contributor or maintainer The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $160,000 to $180,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Remote, Canada; 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. Cloud Platform Engineer An overview of this role As a Cloud Platform Engineer on the Runway team, you'll help design, build, and maintain the infrastructure and developer tooling that powers our engineering organization. You'll advance our Kubernetes-based platform, mature our GitOps practices, and expand infrastructure as code adoption across the business. This hands-on role brings together infrastructure, automation, and developer experience, helping application teams deploy and operate their services. What you’ll do Operate and improve production Kubernetes clusters across cloud environments, managing upgrades, scaling, and reliability throughout the cluster lifecycle. Own and extend Argo CD-based GitOps workflows, maintaining ApplicationSets, managing sync policies, and enforcing deployment standards across environments. Write, review, and maintain reusable Terraform modules, with clear practices for state management and drift detection. Monitor platform health, respond to incidents, conduct post-mortems, and improve availability, performance, and observability. Collaborate with application teams to onboard services, and create documentation, runbooks, and self-service tooling that improves developer productivity. Implement role-based access control, network policies, and secrets management to meet infrastructure security and compliance requirements. Integrate platform capabilities with continuous integration and continuous delivery (CI/CD) pipelines to support end-to-end delivery workflows. What you’ll bring Experience operating Kubernetes in production and working with at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure. Experience with Argo CD or comparable GitOps tooling, such as Flux. Proficiency in Terraform for cloud infrastructure provisioning, including remote state, workspaces, and module design. Ability to write scripts and automation in Python, Bash, or Go. Familiarity with Helm for Kubernetes package management. Understanding of networking fundamentals, including the Domain Name System (DNS), load balancing, ingress, and service mesh concepts. Clear written and verbal communication, with the ability to document systems and collaborate across teams. Optional: experience with managed, multi-cluster, or multi-region Kubernetes, service meshes, policy as code, observability, or Kubernetes-native infrastructure as code; open source or platform tooling contributions; or relevant certifications. About the team The Runway team builds and maintains infrastructure and developer tooling for GitLab's engineering organization. Its work centers on a Kubernetes-based platform, GitOps delivery practices, and infrastructure as code. The team collaborates with application teams to onboard services and improve developer productivity through documentation, runbooks, and self-service tooling. 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 $115,000 — $194,000 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 .

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Role overview We are looking for a Senior Backend Engineer to help build and evolve our new Common case-management system, which powers support-case handling across DoorDash, Wolt, and Deliveroo. You will own significant end-to-end initiatives across our backend services: case lifecycle, routing and assignment, queue management, case evidence and history, and migration from legacy systems. This is a hands-on role for someone who can turn ambiguous customer and operational problems into durable technical solutions, coordinate other engineers, and set the standard for reliability and craftsmanship on the team. What you’ll do Lead one or more project-level Case Management initiatives, on your own or by guiding a group of engineers, from discovery and design through rollout, measurement, and operational ownership. Design and build scalable backend services and APIs for case creation, routing, assignment, transfers, audit history, notes, attachments, and queue-management workflows. Help deliver feature parity with legacy platforms while safely migrating traffic across DoorDash, Wolt, and Deliveroo. Make and own most technical decisions within your scope. Write project-level design documents covering how sub-features interact, identify dependencies and risks, and break work into parallelizable delivery plans. Scope ambiguous customer and operational problems, weigh long-term against short-term trade-offs, and design durable solutions. Partner with Product, Operations, Support, Data, and other engineering teams to define the right problems. Shape the team roadmap through prototypes, data analysis, project proposals, and backlog prioritization. Run the coordination a project needs, such as status updates and dependency tracking, and escalate early to keep delivery on time. Enforce team-wide quality objectives: lead design reviews, calibrate quality metrics, and improve logging, monitoring, alerting, and escalation policies. Serve as first responder or incident commander, model good incident practice, and turn what you learn into playbooks and backlog work. Introduce and guide AI best practices for the team, including evals, data privacy, and review of AI-generated code, and take part in AI-powered projects when they are central to the product. Design reusable, self-serviceable solutions, and consider cost efficiency, including compute and AI costs, in key designs. Mentor engineers through code reviews, design guidance, tech talks, and constructive feedback. Interview candidates, join sell calls, and take part in hiring events when the team needs them. Must-have qualifications Strong backend engineering experience, including designing and operating backend services, APIs, asynchronous workflows, and data models at meaningful scale. Proficiency in at least one modern backend language, and a record of writing exemplary code for the core functionality of key components. Demonstrated ownership of complex, customer-facing or operations-critical projects from technical design through production rollout. Experience breaking projects into parallelizable work, identifying dependencies and risks, and giving accurate estimates for yourself and others. Hands-on experience using AI development tools to improve productivity, while validating generated output for correctness, security, privacy, maintainability, and reliability. Strong product judgment: the ability to turn ambiguous workflows and user needs into simple, maintainable technical solutions. Proven ability to collaborate across functions, bring the right stakeholders into decisions at the right time, and explain trade-offs clearly to technical and non-technical audiences. Strong engineering craft: testing, code review, observability, incident response, security, and operational readiness, with experience designing for reliability. Comfort working on systems with high correctness and auditability requirements, including traceability of decisions and changes. A mentoring mindset and a record of raising team-wide engineering standards. Nice-to-have qualifications Go experience. Experience with migration from legacy systems, gradual rollouts, traffic shadowing, and feature-parity programs. Experience supporting internal tools or operational user interfaces from the backend side. Experience with high-volume, multi-region, or multi-tenant systems. Experience as an incident commander or in running an on-call rotation. Experience building AI-powered features, including evaluation of model output. What success looks like Delivers a major Case Management initiative with clear technical ownership, predictable execution, and measurable customer or business impact. Improves the reliability, maintainability, and cost efficiency of the Common system while enabling safe migration from legacy case-management systems. Helps move support traffic onto the Common system without reducing case-resolution quality. Builds solutions that other engineers and operators can confidently reuse and operate. Acts as a technical leader within the team: unblocks peers and partner teams, improves engineering decisions, influences the roadmap, and strengthens cross-functional execution. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is hiring its first dedicated Physical Security Lead to build and run the program that protects our people, our leaders, our events, and our offices. Our footprint now spans a multi-floor New York headquarters, Ramp-managed offices, and a growing set of hubs across North America and Europe. Our leaders are increasingly visible on public stages. You'll own three areas in roughly equal measure: executive protection, event security, and office security (access control, cameras, guards, and building security). Your job is to turn a set of strong vendors and partner teams into one measurable, risk-based program. This is a high-ownership IC role on the Corporate Security team. It reports to the Director of IT & Corporate Security and is based at our NYC HQ. This is a physical security role; cybersecurity and information security are owned by other Ramp security teams. We aren't looking for a guard supervisor or a box-checker. We want someone who makes it safe for Ramp to move fast, host great events, and keep our leaders accessible. WHAT YOU'LL DO - Build and run Ramp's executive protection program: - Protective risk assessments and residential security reviews. - Domestic and international travel security. - Advance work for high-visibility appearances. - Selecting, standing up, and managing our executive protection provider. - Turn threat intelligence into protective action. Partner with Detection & Response to move from online threat and exposure monitoring to threat assessments, personal-information exposure reduction, and clear escalation playbooks. - Own security for internal and external events, from all-hands and offsites to conferences, customer events, and executive dinners: - Risk-tiered intake and written security plans. - Coordination with venues and vendors. - On-site leadership for the highest-risk events. - After-action reviews. - Set Ramp's global physical security standards for access control, video surveillance, intercoms, visitor management, and alarm monitoring. Tier them for headquarters, Ramp-managed offices, and flexible or serviced hub spaces. - Build security into every new office, move, and expansion: - Write the security design requirements and review drawings. - Manage integrators through installation and acceptance testing. - Partner with IT on network and identity integration. - Manage the guard program and security vendors end to end: scope, post orders, SLAs and KPIs, budget, and quarterly business reviews. Own the security relationship with landlords and building management. - Lead emergency preparedness and physical incident response: - Emergency notifications, evacuation and shelter-in-place plans, and drills. - Liaison with local law enforcement. - Workplace-violence prevention, in partnership with People and Legal. - Run physical access governance with IT. Tie access to joiner/mover/leaver events, run regular access reviews, and keep audit-ready evidence for physical security controls. - Measure and report program health to leadership. Use AI and automation to scale the program without scaling headcount. WHAT YOU NEED - 6+ years in corporate or physical security, including 3+ years owning a security program or major workstream at a multi-site company. Executing someone else's program doesn't count toward this. - Hands-on depth in at least two of the three areas (executive protection, event security, physical security systems such as access control and cameras) and solid working knowledge of the third. - Experience administering or deploying enterprise access control and video platforms (e.g., Avigilon Alta/Openpath, Verkada, Genetec, LenelS2), and partnering with IT on networking and SSO. - A track record of managing security vendors (guard, protection, integrator, event staffing) through contracts, SLAs, budgets, and performance reviews. - Strong risk judgment. You size controls to the actual threat, explain the tradeoffs, and lead with "here's how we do this safely" rather than "no." - Excellent writing. You can produce a crisp SOP, an event security plan, and a one-page executive brief. - Willingness to work from our NYC office 4 days a week, travel 10–15%, support occasional evening and weekend events, and serve as primary on-call for physical security incidents (with the Director as backup and guard and vendor partners as on-site first response). - Real, day-to-day use of AI tools in your work. NICE-TO-HAVES - ASIS CPP or PSP; formal executive protection training; first aid or Stop the Bleed certification. - Experience at a high-growth tech, fintech, or financial services company with a high-profile founder or CEO. - Experience writing security design standards for office buildouts and reading architectural or low-voltage drawings. - Familiarity with physical and environmental control requirements in SOC 2, PCI DSS, or FedRAMP. - A government protective, law enforcement, or military background, combined with corporate program ownership. - An established network of protection, event security, and integrator vendors in NYC, SF, and internationally. FAIR WARNING - This is a builder role. Parts of the program exist today (vendors, a responsibility matrix, some SOPs). You'll turn them into a system. - You're an IC who directs vendors and partner teams, not a manager of a security staff. You'll need to influence Workplace, Events, IT, Executive Assistants, People, and Legal without formal authority. - Security at Ramp enables the business. Events still happen, offices stay welcoming, and executives stay accessible. Your job is to make that safe. - Evenings, weekends, and travel come with the territory, especially around major events. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Dublin Workplace: hybrid About us   Aave Labs began with a simple question: how do we make financial services like borrowing, saving, and earning more accessible globally?   We built the Aave Protocol, now the world’s largest and most trusted onchain lending market, connecting decentralized finance with individuals, traditional finance, and fintech.   Today, we build trusted, high-quality products that expand access to lending, credit, and savings globally   Our culture   We build trusted products that help people access and discover economic opportunities.   We hold a high bar for quality and craftsmanship. No detail is too small. Trust depends on it.   We’re a global team building products people can actually use, turning complex technology into something simple and reliable.   We stay aligned, move quickly, and think long term, while keeping teams lean and focused on impact.   About the role We’re looking for a Director of Operations to lead the operational function supporting our growing global business. This is a senior, hands-on leadership role responsible for building the processes, systems and operating infrastructure needed to deliver a seamless customer experience at scale. You’ll sit at the intersection of Product, Engineering, ICT &Security, Compliance, Support and the wider business, ensuring our day-to-day operations are efficient, resilient and ready to support continued growth. The role combines Group-wide operational leadership with specific regulatory responsibilities within our Irish regulated entity, Push Virtual Assets Ireland Ltd. The successful candidate will be expected to obtain approval from the Central Bank of Ireland to perform the Pre-Approval Controlled Function of Chief Operating Officer (PCF-42) and undertake responsibilities associated with Controlled Function CF-8 (Complaints Adjudication). You’ll be responsible for ensuring that our regulated operations meet applicable regulatory requirements, while developing proportionate and scalable operational frameworks for the wider business. This requires someone who understands how to balance operational efficiency, customer experience and innovation with the governance, accountability and controls expected of a regulated financial services business. Given the nature of our products, you’ll help ensure we maintain a high bar for operational excellence while meeting the requirements expected of a regulated financial services business. How you can make an impact: Develop and scale the operational strategy, structure and processes required to support a growing global business and customer base without compromising quality, controls or customer experience Assume responsibility for the operational management of Push Virtual Assets Ireland Ltd in the capacity of PCF-42, ensuring effective oversight of its day-to-day operations, operational risks, controls and regulatory obligations. Identify bottlenecks, inefficiencies and operational risks, implementing processes and systems that improve reliability, speed and quality of execution Ensure we deliver a consistently high-quality customer experience across key operational touchpoints, from onboarding through to ongoing support and issue resolution Own the Group’s complaints management framework, ensuring complaints are appropriately identified, investigated, escalated and resolved, with specific responsibility for complaints adjudication within the Irish regulated entity in accordance with applicable regulatory requirements. Identify opportunities to use tooling, automation and AI to reduce manual processes, improve efficiency and create better experiences for both customers and internal teams Define and monitor operational KPIs, identifying trends, risks and opportunities and translating data into clear actions and priorities Bring operational and customer insights into product development, helping identify friction points, improve customer journeys and ensure operational readiness for new products and launches Own relationships and performance across relevant operational vendors and service providers, ensuring they meet our standards for quality, reliability and customer Partner closely with Compliance and Legal to ensure operational processes and customer outcomes meet applicable regulatory requirements Work with ICT & Security to oversee operational resilience, incident management and business continuity arrangements, working closely with relevant teams to ensure operational risks and incidents are appropriately identified, managed, escalated and remediated. Hire, coach and develop a high-performing Operations organisation with a strong culture of ownership, accountability and continuous improvement. Provide operational reporting and management information to executive leadership and relevant Boards, ensuring appropriate visibility of operational performance, customer outcomes, incidents, complaints and material risks. Let’s connect if you have: You have 8+ years of experience in Operations, Customer Operations, Business Operations or a related function, with meaningful experience in a senior leadership role You’ve built or scaled operations within a high-growth consumer technology, fintech or financial services business You have experience operating across regulated and unregulated business activities, with an understanding of how operational requirements, governance and controls differ depending on the nature of the business You have experience delivering customer experiences at scale, with a strong understanding of how operations, technology and support come together across the customer journey You have a track record of designing processes and operating models that can scale with significant customer and transaction growth You understand how to use technology, automation and AI to improve operational efficiency and reduce unnecessary manual work You’re highly data-driven and comfortable establishing KPIs, analysing performance and using data to prioritise improvements You have experience working closely with Product, Engineering, Compliance and other cross-functional teams You have a strong understanding of the operational and governance requirements applicable to regulated financial services businesses, including customer complaints, operational risk management and regulatory accountability. You have experience being a PCF-42 or a similar regulated position Experience within crypto or Web3 is strongly preferred, particularly within consumer-facing products, but isn’t essential Haven’t quite met all the criteria? Let’s not miss out on the chance to speak. Whilst you might not meet every single requirement, you might bring other, more exciting skills to the companies!   Equal opportunities statement:   Aave Labs celebrates diversity and views each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, disability, sexual orientation or even the wallet you use, we welcome you at Aave Labs. As an equal opportunities employer, we take accountability and believe in everyone's potential to build, create and inspire changes. With a mission to build a diverse workforce, we are proud to foster a working environment in which everyone can feel safe and valued for who they are.

Location: Stockholm ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you’ll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You’ll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You’ll own durability and cost at petabyte scale, from streaming and batch replication between origins to garbage collection over billions of objects. You’ll work across the stack, from local disk and page cache to distributed blob storage and garbage collection, and you’ll help shape what storage becomes next as we push storage closer to workloads. WHAT YOU’LL WORK ON: - Build P2P sharing of data across workers within a single datacenter to dramatically reduce ingress - Replicate data across multiple blob storage providers - Automate garbage collection across hundreds of petabytes of data - Deploy colocated storage clusters to datacenters to accelerate high-throughput customer workloads YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality production code - You’ve built high-performance distributed storage or caching systems at a large scale (the more challenges you’ve worked through, the better) - You have strong cloud skills, including deep familiarity with object storage (S3 or similar), CDNs, and their consistency, throughput, and cost characteristics - You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, page cache, containers, etc.) - You’re willing to step into the thick of it with our on-call rotation and respond to production incidents NICE-TO-HAVE: - Experience with replication, content addressing, and consistency models in multi-region or multi-cloud systems - Experience operating storage systems at scale (petabyte-scale datasets, high-throughput read/write paths, large-scale garbage collection or data migration) - Experience with data engineering at petabyte scale - Prior experience with Rust

Location: London Workplace: Hybrid 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. THE ROLE Checkout.com http://Checkout.com is looking for an enthusiastic Engineer I to join Finance Technology with a focus on Workday Adaptive Planning. Adaptive Planning supports finance, workforce, sales, and operational planning, giving teams a shared platform for budgeting, forecasting, modelling, reporting, and decision-making. This is an early-career engineering role for someone who wants to build depth in finance systems, application configuration, data integration, and operational support. You will work with Finance, Finance Technology, Data, and wider Corporate Technology teams to keep planning processes reliable, well-controlled, and easy to operate. You will have support from more senior engineers for complex design decisions, but you will be expected to work independently for longer periods on well-defined configuration, integration, support, and continuous-improvement tasks. This reflects Checkout’s Engineer 1 expectations: delivering small-to-medium-sized work, supporting common operational flows, communicating clearly, and taking ownership of the quality of what you deliver. HOW YOU’LL MAKE AN IMPACT - Configure, maintain, and enhance Adaptive Planning models, dimensions, versions, levels, accounts, sheets, reports, dashboards, and planning workflows under appropriate guidance. - Support the delivery of budgeting, forecasting, headcount planning, scenario modelling, and management reporting capabilities for Finance and business stakeholders. - Build and support data loads and integrations between Adaptive Planning, Workday Financials, Workday HCM, and other approved internal or third-party systems. - Maintain data mappings, transformation rules, validation checks, and reconciliation processes so that planning data is complete, accurate, and traceable. - Monitor scheduled loads and integration tasks, investigate failures, and resolve common data or configuration issues within agreed service levels. - Triage incidents and service requests, identifying root causes and escalating complex or high-risk issues with clear evidence and recommended next steps. - Partner with Finance stakeholders to understand requirements and translate them into maintainable system configuration, reporting, or integration changes. - Contribute to the assessment and delivery of future analytics data flows, including the potential use of Adaptive Planning data in BigQuery and management analytics. - Participate in testing, regression testing, release preparation, and controlled deployment of Adaptive Planning changes. - Follow change-control, access-management, data-quality, and audit requirements relevant to financial systems and planning data. - Create clear documentation, support guides, data dictionaries, integration runbooks, and knowledge-base articles so that operational knowledge is shared rather than held by one person. - Identify recurring manual work or failure patterns and propose practical automation and process improvements. WHAT WE’RE LOOKING FOR ESSENTIAL EXPERIENCE AND SKILLS - Experience in a finance systems, enterprise applications, data, reporting, or integration environment. - Practical experience with Workday Adaptive Planning, or strong experience with a comparable planning, performance-management, ERP, or finance application and a clear ability to learn Adaptive quickly. - Understanding of core finance planning concepts such as budgets, forecasts, actuals, variance analysis, allocations, dimensions, hierarchies, and scenarios. - Experience configuring or supporting structured data models, application workflows, reports, dashboards, or business rules. - Ability to work with data imports, exports, mappings, transformations, validations, and reconciliations. - Strong troubleshooting skills, with the ability to break down an issue, gather evidence, identify likely causes, and communicate findings clearly. - Good attention to detail and an understanding of why accuracy, access control, auditability, and repeatability matter in finance systems. - Ability to manage small-to-medium-sized tasks independently while knowing when to ask for help or escalate. - Strong written and verbal communication skills, with the ability to work effectively with Finance and Technology stakeholders. DESIRABLE EXPERIENCE - Workday Adaptive Planning certification or implementation experience. - Experience with Adaptive Planning Integration, Planning Data Loader, APIs, or equivalent enterprise planning integration tooling. - Experience integrating planning systems with Workday Financials, Workday HCM, an ERP, a data warehouse, or a reporting platform. - Familiarity with SOX controls, financial audit requirements, data privacy, and segregation of duties. - Experience supporting month-end, budget, forecast, or management-reporting cycles. - Exposure to Agile delivery, ticket-driven change management, incident management, or service-management practices. WHAT SUCCESS LOOKS LIKE After the first 6–12 months, you will be able to: - Support common Adaptive Planning configuration, data-load, and reporting requests with limited supervision. - Diagnose and resolve routine integration or data-quality issues using a structured troubleshooting approach. - Deliver small-to-medium-sized enhancements from requirement clarification through testing, documentation, and controlled release. - Explain key planning data flows, mappings, dependencies, and operational controls to Finance and Technology colleagues. - Improve the reliability or efficiency of at least one recurring planning or finance-technology process. - Maintain accurate, useful documentation and contribute positively to team ceremonies, reviews, and knowledge-sharing sessions. WORKING STYLE AND BEHAVIOURS We are looking for someone who: - Takes ownership of tasks and follows through on commitments. - Acts with urgency and accountability when issues affect Finance or business reporting. - Is curious about how finance processes, data, and technology fit together. - Communicates clearly, especially when explaining risk, blockers, trade-offs, or support impact. - Welcomes feedback and actively develops their technical and domain knowledge. - Collaborates generously and shares knowledge so the team does not depend on a single subject-matter expert. - Looks for durable automation and simpler operating processes rather than repeatedly working around the same manual problem. WHY JOIN FINANCE TECHNOLOGY? You will work on systems that sit at the centre of how Checkout.com http://Checkout.com plans, forecasts, reports, and makes financial decisions. The role offers the opportunity to develop a broad foundation across enterprise applications, finance processes, integrations, data quality, controls, and automation while working closely with experienced Finance and Technology professionals. 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/