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Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong The Role As a Lead Software Engineer in Test (SDET) at Nex, you will build the test engineering capability within Platform Software Engineering that helps us ship reliable Nex Playground experiences. You will define and implement an automated test strategy spanning device software, cloud services, and hardware-integrated systems. From functional and regression testing to sustained device stress and cloud-scale load, you will design and build the tools, practices, and feedback loops that help engineers find problems early and release with confidence. You will lead through technical judgment, hands-on execution, and collaboration, and drive practical AI adoption in your work. Success Looks Like Teams can rely on fast, maintainable automated tests to detect meaningful regressions throughout development and release. Device software, hardware-integrated systems, and cloud services are tested under realistic conditions, including sustained stress and load at scale. Engineers can see test coverage, reliability trends, and release risks clearly, and use that information to improve products and test effectiveness. Test tools and methods continuously improve, and platform engineers can design and build more testable systems. What You'll Do Test strategy and technical leadership Own and evolve the automated test strategy for Platform Software Engineering. Prioritize coverage based on product risk and drive a high level of meaningful automated test coverage. Define test approaches, quality criteria, and release feedback with platform engineers working on device software and cloud services. Review and improve vendors’ test strategies and coverage, identify gaps, and work with vendors to address them. Research, evaluate, and develop new testing techniques and tools that improve coverage, speed, and confidence. Drive responsible, practical AI adoption in test design, automation, analysis, and engineering workflows, while maintaining human judgment and verification. Automation and test infrastructure Develop and operationalize functional, stress, and regression testing for software and hardware products, using both software-based and hardware-integrated techniques. Develop and operationalize cloud service load testing using synthetic workloads and data at scale; identify bottlenecks, failure modes, and regressions. Design, build, and evolve reusable test frameworks, harnesses, fixtures, and infrastructure that support reliable, repeatable testing across system boundaries. Keep automated testing integral to CI/CD, with actionable feedback that engineers can use throughout development and release. Improve product testability through better instrumentation, API design, separation of concerns, and effective use of mock objects and test data. Define and track metrics, reports, and dashboards that show test coverage, effectiveness, reliability, and trends over time. Engineering collaboration Partner with platform engineers to embed quality and testability into design and delivery rather than treating testing as a final gate. Work with platform engineers to investigate failures, identify root causes, and turn findings into product and test improvements. Raise the engineering bar through design reviews, technical guidance, mentoring, and sharing test practices, tools, and findings with platform engineers. Must Have Experience setting technical direction for test engineering across teams and independently delivering work from strategy through implementation and iteration. Strong hands-on software engineering skills, with experience designing, building, and maintaining automated test frameworks and infrastructure used by engineering teams. Experience defining and delivering test strategies for complex software systems, including functional, regression, and stress or reliability testing. Experience testing cloud services under load, including generating representative workloads and data and investigating performance or scalability bottlenecks. Experience integrating automated tests into CI/CD and improving the reliability, speed, and usefulness of test feedback. Strong understanding of software design for testability, including instrumentation, APIs, isolation, mocks, and test data. Experience applying AI tools to engineering and testing workflows, with a thoughtful approach to validation and data security. Nice to Have Experience testing connected consumer devices or systems that combine device software, firmware, hardware, and cloud services. Experience with hardware-in-the-loop testing, automated test fixtures, or validation of cameras, sensors, or other hardware modules. Familiarity with Android/AOSP, embedded systems, or device-level debugging. Experience with soak, endurance, fault-injection, or other reliability testing techniques. Experience building products for children and families. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Bengaluru, India We are looking for a Senior Performance Engineer with solid experience across performance testing and strong JMeter scripting skills. You will define performance requirements with product owners and developers, validate environment readiness, run load, stress, spike, and soak tests, find root causes through full-stack observability, and give engineering teams and leadership evidence for release decisions. You will also own the performance framework and its CI/CD pipelines, build dashboards in CloudWatch and Grafana, run chaos and fault-injection tests on AWS and Azure, and test front-end performance alongside server-side performance. This position is intended for Hyderabad-based candidates who are available to work from the office. The client operates a scaled Quality Engineering function across a broad technology landscape running primarily on AWS, with Azure as the secondary cloud. Most applications run on containers. Performance engineering covers load, stress, spike, and soak testing, full-stack observability, root cause analysis, and chaos and resiliency testing for distributed systems. Performance engineers own performance testing delivery across multiple applications, from requirements and environment readiness through execution, root cause analysis, and release-readiness reporting. Own performance testing delivery across multiple applications, from requirements through execution, analysis, and reporting. Define performance requirements with product owners and developers, and validate environment readiness before each test cycle. Build and maintain JMeter scripts, workload models, and test data in GitHub. Own the performance test framework and its CI/CD pipelines on GitHub Actions or an equivalent tool, with defined thresholds. Run load, stress, spike, and soak tests, including autoscaling, caching, load balancing, and failover on containerized workloads. Test front-end performance alongside server-side performance. Build dashboards in CloudWatch and Grafana covering RUM, APM, infrastructure, logs, and traces, using Prometheus or OpenTelemetry data. Correlate New Relic and Google Analytics data with test runs, and validate golden signals, SLIs, and SLOs. Use observability data to pinpoint bottlenecks across application, API, database, network, and container layers. Recommend tuning and scaling changes and validate them with repeat tests. Run chaos and fault-injection tests on AWS and Azure using native tooling. Contribute reusable scripts, dashboards, and runbooks that explain each application's resiliency setup. Track performance defects to closure in Jira, coordinating with developers and product teams on priority and impact. Deliver test summary reports in Confluence with release-readiness evidence for engineering teams and leadership. Use AWS (primary) and Azure for deployment, secrets, database services, and performance test infrastructure. Senior-level performance engineering experience across multiple applications. Strong JMeter scripting and workload modelling experience, with scripts and test data maintained in GitHub. Hands-on experience with load, stress, spike, and soak testing. Experience with CI/CD integration of performance tests using GitHub Actions or equivalent tools. Experience validating autoscaling, caching, load balancing, and failover on containerized workloads. Experience with an APM or observability platform such as CloudWatch, Grafana, New Relic, or similar. Experience validating golden signals, SLIs, and SLOs. Strong root cause analysis and tuning skills across application, API, database, network, and container layers. Experience with front-end performance testing alongside server-side testing. Experience with chaos and fault-injection testing. Working knowledge of AWS and Azure. Working knowledge of Docker and Kubernetes. Working knowledge of distributed systems and resiliency patterns. Experience with defect tracking and reporting in Jira and Confluence. Ability to present findings to engineering and business stakeholders. Experience working in Agile teams. Experience working in DevOps environments. Ability to communicate clearly with developers, product, and delivery teams. Hands-on use of AI coding assistants (GitHub Copilot, Claude Code, Cursor, Codex, or equivalent) to write and generate load test scripts. Familiarity with GenAI, LLMs, and agentic workflows for maintaining performance scripts. Familiarity with RAG and MCP concepts for QE tooling and for generating test data for load scenarios. Experience with service virtualization using WireMock or an equivalent tool, so performance suites can run when a dependency is unavailable. Experience with Tableau or an equivalent reporting tool. Experience with Azure Monitor.

Velaura is looking for a Security Architect to define end-to-end SoC security architecture, protect AI workloads, and guide security requirements through production.

Location: Europe We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, and we may help to find the right ones. We are looking for a Security Engineer / DevSecOps professional to implement and improve security controls across our corporate infrastructure and new digital services, including AI solutions. Our environment combines Windows and Linux systems, private and cloud infrastructure, SaaS platforms, and internally developed applications and integrations. You will work closely with the CISO, DevOps, IT Operations, and project teams to identify technical risks, implement safeguards, automate security tasks, and verify that controls work effectively. We value practical engineering skills, independent problem-solving, and experience translating governance requirements into technical implementation. Reports to: Head of Cybersecurity (CISO) Role type: Hands-on individual contributor What you will do: Security monitoring and detection - Develop and implement a security monitoring roadmap, including requirements, architecture, and integration priorities. - Contribute to the selection and evolution of our SIEM/XDR architecture. - Integrate log sources and maintain reliable, complete, and useful security telemetry. - Develop and test detection rules, correlation logic, and threat-hunting queries. - Support incident investigation and improve response procedures. Vulnerability management - Implement a repeatable process for vulnerability discovery, validation, prioritisation, remediation tracking, and retesting. - Assess exploitability and business impact, considering exposure, asset criticality, and potential attack paths. - Develop remediation plans with IT and DevOps, track progress, and verify that fixes are effective. Secure service delivery and hardening - Review the security of service architectures, configurations, integrations, and CI/CD pipelines. - Develop technical checklists covering access controls, role models, credentials and secrets, network connectivity, external integrations, encryption, and logging. - Implement and automate secure configuration baselines. - Work with DevOps to assess security readiness before production launches and address identified risks. - Plan and validate security changes with attention to service availability and rollback options. Security automation and AI-assisted engineering - Build scripts and integrations for event analysis, configuration checks, vulnerability management, and reporting. - Use AI coding assistants and agent tools to support engineering tasks. - Validate generated code and findings, and protect credentials, access permissions, and corporate data throughout these workflows. AI security and governance implementation - Develop and apply security assessment checklists for corporate LLM services, AI assistants, agents, and their integrations. - Assess access to data and tools, execution isolation, and scenarios that could adversely affect information or systems. - Address risks such as prompt injection, data leakage, excessive permissions, and authorisation failures. - Translate agreed AI governance requirements into technical controls and verification steps. Security validation - Conduct authorised tests of attack scenarios and vulnerability exploitability. - Verify whether monitoring and protection tools detect or prevent the tested activity. - Use findings to improve configurations, detection coverage, and response procedures. What we are looking for: - Practical experience in Security Engineering, DevSecOps, or infrastructure/DevOps roles with substantial responsibility for production security. - Ability to own technical tasks from investigation and planning through implementation and validation. - Hands-on SIEM/XDR experience, including log onboarding, queries, detection rules, and alert investigation. - Practical experience with vulnerability management and system or service hardening. - Strong understanding of Linux, Windows Server/Active Directory, networking, authentication, and access controls. Deeper expertise in one environment is welcome, supported by working knowledge of the other. - Understanding of cloud, container, API, and CI/CD security, including secrets management. - Ability to review code, Infrastructure as Code, and configurations, and propose actionable improvements. - Scripting and automation skills using Python, PowerShell and/or Bash, APIs, and Git. - Practical use of AI tools for engineering tasks, with a disciplined approach to checking their output. - Ability to validate security weaknesses, explain their impact, and work constructively with technical teams on remediation. - English proficiency sufficient for technical documentation and vendor support. Experience working with governance - You should be comfortable translating security policies, risk decisions, and agreed requirements into configurations, technical checklists, and acceptance criteria. - This includes documenting control gaps, remediation plans, and compensating measures; providing evidence that controls have been implemented and tested; and escalating unresolved risks or exceptions through the agreed process. - The CISO sets security direction and priorities and coordinates risk decisions with accountable stakeholders. Your role is to provide technical analysis, implementation, and verification. Nice to have: - Experience with Cortex XDR, Microsoft Sentinel, or Wazuh; familiarity with XQL or KQL. - AWS or Azure security, Terraform, Ansible, and GitLab CI/CD. - Palo Alto, Google Workspace, Microsoft 365/Entra ID, or privileged access management solutions. - Experience implementing or testing AI agents, retrieval-augmented generation (RAG), or corporate LLM services. - Penetration testing, red teaming, adversary emulation, or purple teaming experience. - Experience providing technical evidence for audits or implementing controls within an ISMS/ISO 27001 programme. - Experience building practical security processes in a small team. How you will work You will partner with experienced DevOps and IT engineers, explain security issues with clear technical evidence, and help develop workable solutions. Priorities will be agreed with the CISO, with delivery sequenced according to risk and team capacity. We value demonstrated hands-on contribution and the ability to deliver verified improvements. Experience with every technology listed above is not required. What can we offer you? - Make a real impact on security. Take ownership of key security engineering initiatives, help shape security practices, and see the direct results of your work across the company’s infrastructure and digital services. - Build and improve, not just maintain. Get hands-on experience developing security monitoring, vulnerability management, and automation solutions, with the opportunity to influence technical approaches and tooling. - Combine offensive and defensive security. Apply a Purple Team mindset by identifying and validating vulnerabilities, testing detection capabilities, and turning findings into practical security improvements. - Explore AI Security and emerging technologies. Work with AI-powered security tools and contribute to securing new AI services, assistants, and integrations as the company expands its use of AI. - Expand your technical expertise. Gain exposure to diverse environments, including private cloud infrastructure, Linux and Windows systems, cloud platforms, and modern DevOps practices. - Work closely with security leadership. Collaborate directly with the Cybersecurity Lead (CISO) and experienced DevOps and IT engineers, with room for technical initiative, knowledge sharing, and professional growth. - Flexible remote work, with occasional in-person team meetings and collaboration sessions. - €600 learning and development budget to support your professional growth. - Flexible benefits allowance for sports, mental well-being, and leisure activities: €50/month for employees in Ukraine and other European locations, or €150/month for employees in Cyprus. - Medical insurance to support your health and well-being. - Coworking space reimbursement of up to €200/month in Europe.

Location: Bangalore (Hybrid) ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Security and Threat Operations Engineer at OnePay, your work will have a direct impact on protecting our fast-moving fintech environment. You will turn production signals into actionable detection, response, and hardening initiatives, partnering closely with Product Security, Platform Security, and Engineering teams. Your efforts will enable us to proactively identify, monitor, and stop compromised behaviors across OnePay's products and infrastructure, ensuring the continued safety and trust of our business and customers. You will: - Build and tune detections, alerts, and monitoring workflows across cloud, application, identity, and edge environments. - Review traffic patterns across APIs, authentication flows, and WAF telemetry to identify malicious activity, abuse patterns, and anomalous behavior. - Use AI responsibly as a force multiplier for triage, analysis, and workflow automation, while helping define guardrails for AI-enabled systems. - Help operate OnePay's vulnerability management program by triaging, prioritizing, and driving remediation for findings from Wiz, vulnerability scanning, and related workflows. - Develop Python-based tooling and automation to improve investigations, enrichment, response, and operational scale. - Partner with Product Security to translate threat models, security reviews, and product risks into production detections and response playbooks. - Investigate security events end to end, including triage, scoping, containment support, and follow-through on remediation. - Support vulnerability management and operational security practices in ways that align with PCI and SOC 2 expectations. - Participate in proactive threat hunting, detection improvement, and a 24x7 security incident response on-call rotation. TOOLS WE USE We use Node and TypeScript on the server, leveraging the NestJS framework within a microservice-oriented architecture running on Kubernetes and AWS. On the client side, we build and ship product features for iOS, Android, and web platforms using React Native. We also embrace AI-assisted development, so engineers have their choice of Claude Code or Cursor to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. YOU BRING - 5+ years of experience in information security, threat detection, security operations, detection engineering, or incident response, ideally in a cloud-native or product-focused environment. - Strong experience investigating suspicious activity in web, API, authentication, and infrastructure telemetry, with the ability to distinguish attacker behavior from normal production noise. - Demonstrated ability to review traffic and event patterns for signs of malicious activity, fraud, account abuse, credential attacks, reconnaissance, and exploitation attempts. - Strong Python programming skills and the ability to write maintainable code for automation, enrichment, analysis, and security operations tooling. - Experience building and tuning detections in a SIEM or detection platform and working with observability and logging systems such as CloudWatch, Datadog, or similar platforms. - Experience operating or supporting a vulnerability management program, including triage, prioritization, remediation tracking, and stakeholder coordination. - Familiarity with cloud and application security findings from platforms such as Wiz, including CNAPP, runtime, code, and vulnerability scanning use cases. - Experience with at least one major cloud provider, preferably AWS. - Working knowledge of identity and access systems, modern authentication flows, and the security implications of internet-facing applications and APIs. - Strong understanding of threat modeling, risk prioritization, and practical security controls across applications, infrastructure, and cloud environments. - Practical experience using AI tools in security workflows, along with sound judgment about AI-specific risks such as prompt injection, data leakage, excessive tool access, and weak auditability. - Excellent analytical, communication, and cross-functional collaboration skills, especially in environments where security needs to move quickly with product and engineering teams. - Drive and proactivity - everyone here is a builder and executor WHAT WE OFFER - Competitive salary, stock options, and benefits from Day 1 - Comprehensive health insurance coverage (health insurance, accident and disability insurance, term life insurance), including mental health support and wellness programs - Hybrid work model (Bengaluru office three days a week), various time off programs (vacation, sick, other paid leaves, and paid regional holidays) - Monthly transport and work-from-home allowances - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Europe, Remote About Zencoder At Zencoder.ai , we build and orchestrate AI agents that ship real work - code, research, operations, and more. What started as developer tooling is becoming a platform where people and agents collaborate across knowledge work tasks. The Opportunity We’re looking for a hands-on Senior or Staff Security Engineer to lead and own security across the company. Part of the job is the work every company needs and too few do well: hardened cloud infrastructure, least-privilege access, secure delivery, vulnerability management, penetration testing, and incident response. The threats in this space are increasing exponentially. The other part is an evolving domain with no playbook. Our product runs agents that read untrusted content, execute code, and hold credentials. Attackers now use AI to probe and fuzz faster than before. Prompt injection, data exfiltration through allowed channels, cross-session access, and insecure agent-written code reaching production are real risks for us today, not research topics. We want someone who will help us close the obvious gaps without being asked, and finds the problems nobody has written down yet. You'll work closely with our ITOps, platform and product engineers. Teams own their services and platform owns the monorepo pipeline. Your job is to improve our security posture without slowing delivery: build automated controls into existing workflows rather than rely on slow, blocking manual AppSec reviews. You'll test whether those controls hold, address critical risks, and take responsibility for security outcomes, not just recommendations. Key Responsibilities This is a hands-on role - you'll be in the code, infra, and pipelines yourself. Set security priorities and drive fixes through to verified completion; Find application vulnerabilities through code review, penetration testing and agent-specific red-team exercises; Work with ITOps, platform and product engineers to harden infrastructure and build security into delivery pipelines; Build detection for user and agent activity, and lead incident response. Essential Qualifications Strong application security background - you can spot exploitable flaws, and explain the fix; Hands-on penetration testing and offensive security experience across web applications, APIs, and cloud infrastructure; Solid infrastructure and cloud security fundamentals: IAM, network segmentation, containers and isolation, secrets management, logging; Experience building detections and running incident response, not only reviewing them; Real fluency with AI coding agents and LLM-based systems - how they work, where they fail, and how they can be manipulated; Enough software engineering skill to build your own tooling, automation, and test harnesses; Sound judgment under pressure: you can weigh a risk against a release, decide, and explain the decision to engineers and founders. Nice to Have Experience securing sandboxed or multi-tenant code execution environments; Red-team, bug bounty, or CTF track record; Experience with security programs and compliance frameworks (ISO 27001, SOC 2) in a small company. Why Join Zencoder? Impact AI is reshaping how work gets done, and you'll be at the forefront of that shift, building a product that enables teams to get more done with AI. We use our own products every day, so you'll see how your work lands right away. AI-First We use AI to expand what one person can accomplish. You'll constantly rethink how you work: what to hand over to AI, and where your own judgment matters most. Ownership We keep the team small and give people real scope, autonomy, and equity. You'll take initiative, make decisions, and see your work through to real outcomes, raising the bar with every iteration. High Talent Density A small team of highly capable people moves faster and builds better. You'll work directly with senior teammates and our founder, Andrew Filev, in a flat structure where ideas win on merit, not titles. Remote-First We hire globally, prioritizing talent over location, so you can work where you're most productive. Prefer in-person? We have a hub in Barcelona with weekly co-working. Zencoder is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

• Формирование, согласование и актуализация требований информационной безопасности к системам и проектам с использованием AI и LLM. • Анализ архитектуры, сценариев использования и потоков данных AI-систем, включая RAG, AI-агентов, MCP-интеграции и внешних LLM-провайдеров.

5+ лет в бэкенд-разработке, из них 1,5+ года — продукты на LLM, выведенные в прод к реальным пользователям (не только прототипы).

• Участие в проектировании информационных систем искусственного интеллекта в части формирования и выполнения требований информационной безопасности; • Проектирование взаимодействия с системами обеспечения безопасности информации (IAM/IDM/PAM/DLP/SIEM и т.д.);

Location: Uptown Animal Hospital & Urgent Care - Gig Harbor, Washington Uptown Animal Hospital is a growing General Practice and Urgent Care Hybrid facility in the beautiful city of Gig Harbor. We are open seven days a week and are an AAHA accredited facility.  Our team is a compassionate group of veterinary professionals that include Urgent Care and General Practice veterinarians, Licensed Veterinary Technicians, Veterinary Assistants, Kennel assistants and Customer Service representatives who work as a cohesive team, providing quality, compassionate care to the surrounding communities because they love what they do and have fun doing it.  Our clients are loyal, and we boast a high retention rate in our general practice as well as providing urgent care services, should the need arise. We are a full-service hospital providing in-house diagnostics, digital radiology (including dental), ultrasonography, an onsite pharmacy and a state-of-the-art surgical suite. We also provide a feline only waiting area and exam room to limit the stress to our feline patients.  Our lobby provides ample space for our human clients, making them as comfortable as possible during their visit. In addition to providing a fun and rewarding workplace, we also offer a wonderful benefit package including 401K with company match, medical/dental/vision insurance, life insurance, annual uniforms provided, competitive salary, CE opportunities, Paid time off and personal pet care discounts. POSITION SUMMARY: The Veterinary Assistant plays a vital role in supporting our amazing Veterinarians and Veterinary Technicians, ensuring the safety and comfort of both pets and clients while delivering top-notch veterinary care. Your efforts will help keep our furry friends safe and cozy during their visits! WHAT YOU’LL DO (Essential Functions): Foster a culture built on our values: Respect, Learning, Doing the Right Thing, WOW Service, and Fun! Clean, disinfect, and prepare exam rooms, medical equipment, and surgery areas between each appointment. Gather initial patient information, medical histories, vaccination records, and the reason for the pet’s visit. Document patient information and keep records updated. Calm, soothe, comfort, and gently restrain pets before, during, and after procedures. Take notes on examination results and update records as directed by veterinarians. Provide pet owners with resources and information on how to care for their pets in general, for specific conditions, and after various procedures, following the Veterinarian’s guidance. Monitor and track pets’ physical status and vital signs following surgery. Monitor, record, and report the physical condition and vital signs of hospitalized and boarded pets. Assist the Veterinarian throughout the examination, diagnosis, procedures, and treatment phases by completing preparatory procedures. Obtain and prepare various samples, including blood, urine, and fecal samples for diagnostic testing. Perform laboratory tests on samples and update the patient’s medical chart unless restricted by the State Veterinary Board. Administer injections and medications under the direction of a Veterinarian. Clean and disinfect cages, pens, runs, and boarding areas to maintain a healthy environment. Feed, water, bathe, and exercise pets during their visit to ensure their well-being. Respond to general questions from clients with a friendly and informative approach. Perform and set up procedures that do not require Veterinarian or Veterinary Technician assistance. Examine pets, performing basic health checks, looking for signs of disease, illness, or injury, and treat them under the direction of the Veterinarian. Administer medication, perform routine laboratory tests, fill prescriptions, and educate clients on the use and side effects of medication under the guidance of a Veterinarian or Veterinary Technician. Provide professional, efficient, quality care and exceptional service to clients while maximizing productivity. Support a practice environment that promotes collaboration and teamwork, ensuring the delivery of quality, compassionate, effective, and efficient health care to pets. Comply with all practice policies, quality assurance guidelines, and minimum standards of care. Perform other duties or projects as requested with a positive attitude. WHAT WE’RE LOOKING FOR (Essential Qualifications): Education High School Diploma or GED required. Professional Licenses/Certifications: Certificate of completion from a NAVTA-approved Veterinary Assistant program preferred. Experience: Minimum of 2 years of experience as a non-licensed technician in a veterinary practice. Skills, Ability, and Knowledge: Broad knowledge of animal science. Basic knowledge of pharmacology. Proficiency with a variety of computer programs including Microsoft Outlook, Word, and industry-related internet sites. Basic written, verbal, and active listening communication skills with a customer-oriented approach. Basic mathematical skills to ensure accurate drug and fluid dosage administration. Analytical, critical thinking, judgment, and problem-solving skills. Compassion and empathy for both pets and pet owners. Ability to interact with a variety of clients and employees in a professional, caring, and tactful manner. Strong attention to detail and a high level of accuracy. Excellent organizational and time management skills, including the ability to manage multiple priorities. Ability to handle and maintain sensitive and confidential information with discretion. Maintain a calm demeanor in a work environment that can be fast-paced and stressful. WORKING CONDITIONS/PHYSICAL DEMANDS: While performing the duties of this job, team members are regularly required to talk and hear. Frequent use of a computer is necessary, and specific vision abilities are required, including close vision. This position involves walking, standing, and sitting for extended periods. You may be exposed to low to moderate noise levels, as well as disinfectant/sanitation chemicals, pet dander, and excretions. Occasionally, you may encounter aggressive, frightened, abused, or injured pets that may bite or scratch. This position requires the ability to exert up to 30 pounds of force occasionally, and/or 20 pounds frequently, and/or 10 pounds constantly to lift, carry, pull, or move objects. Flexibility in working hours, including evenings and weekends, is required. COMPENSATION: $21 - 27 per hour, based on experience and schedule worked Compensation Range $21 — $27 USD

Location: Canada (BC & ON only) Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Salesforce Developer to help Webflow scale our go-to-market systems with quality, scalability, and strong governance. You’ll design and build the Salesforce, CPQ, and integration solutions that our Sales, Marketing, Customer Success, and Finance teams depend on every day. You’ll work closely with stakeholders and the broader Enterprise Technology team to turn business needs into clean, durable solutions. This role combines hands-on engineering excellence with the judgment to know what to build, what to simplify, and what not to build at all. You’ll help make our platform easier to use, easier to trust, and easier to extend. You’ll join a team of 5 architects, developers, and admins who own Webflow’s GTM systems end to end. We don’t have dedicated project managers, business analysts, or QA. Each of us runs our own projects from the first stakeholder conversation through requirements, design, build, testing, and rollout. We work as a community of practice. We share patterns, review each other’s work, and grow the craft together.   ABOUT THE ROLE: - Location: Remote-first (Canada) - Core working hours overlap with US Eastern / Pacific time - Full-time - Permanent - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. The specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - Canada (figures cited below are in CAD and pertain to workers in ON & BC, Canada) - $116,600-$163,300   This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.   Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.   - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for an existing vacancy - Reporting to Anna Duncanson   As a Senior Salesforce Developer, you will: - Own the whole problem, not just the ticket. You’ll shape solutions from the first stakeholder conversation through launch, and bring your designs to a team that reviews, challenges, and builds on each other’s work. - Partner with RevOps, MarketingOps, LegalOps, Finance, and Pricing & Packaging leaders to turn business needs into clear designs, with options and tradeoffs that help them decide well. - Help own and evolve our Quote-to-Cash platform, from quoting and approvals through contracts and renewals, and help shape where Revenue Cloud Advanced fits. - Make the platform simpler. Reuse before you build, consolidate overlapping automation, and retire tools and packages we no longer need. - Design resilient integrations across the GTM tech stack, and chase data issues to their root cause even when they span several systems. - Build shared AI tooling that speeds up the whole team, from test generation to code review to metadata analysis. - Ship with care. Deploy your own changes through Gearset, build in monitoring, and fix production issues before users notice. - Raise the bar. Set the Apex, LWC, and security patterns others build on, give thoughtful reviews, and mentor developers and admins. - Help shape how we work, not just what we build. Take your turn as Scrum Master, run our ceremonies, and bring ideas that make the whole team faster and better.   ABOUT YOU: Requirements: - BS / BA college degree or relevant experience. - 5+ years of hands-on Salesforce development in a complex Sales Cloud org. - Salesforce Platform Developer I and Platform Developer II certifications. - Strong Apex, SOQL, Flow, and LWC skills, and a clear sense of when to use each. - Deep understanding of the platform’s transaction model, including order of execution, synchronous and asynchronous processing, bulkification, and governor limits, plus experience tuning performance in large-data-volume orgs. - Strong grasp of Salesforce security in code, including CRUD, FLS, sharing, injection prevention, and named credentials. - Hands-on Salesforce CPQ experience. - Experience with source-driven delivery: SFDX, Git, pull request workflows, static analysis, automated testing, and rollback planning in a CI/CD tool such as Gearset or Copado. - Experience with event-driven patterns such as Platform Events and Change Data Capture. - Experience building and supporting integrations designed for failure, including retries, idempotency, error handling, and clear system-of-record boundaries. Preferred: - Salesforce CPQ, Revenue Cloud, and/or Platform App Builder certifications. - Experience with identity provisioning or data warehouse integrations. - Experience in a B2B SaaS environment   You’ll thrive as a Senior Salesforce Developer at Webflow if you: - Are comfortable wearing many hats. You’re as confident running a requirements session, managing a timeline, writing test plans, and handling a production issue as you are writing code. - Hold a high bar for quality. You write clean, well-tested, well-documented code, and you treat production with care. - Design for scale. You build for where Webflow is going, not just where it is today. - Value strong governance. Clear standards, peer review, and documented decisions matter to you, and you help others follow them. - Challenge assumptions, including your own. You ask why, test ideas with data, and change course when the evidence says you should. - Always look for a better way. You reflect on your work and keep improving your skills, our patterns, and our processes. - Find the root cause. You use logs, data, and testing to prove what’s wrong before you change anything. - Communicate clearly. You can explain a technical tradeoff to a sales leader and to another engineer. - Protect focus. You redirect out-of-scope asks into intake, prioritize by value and risk, and leave room for the unplanned. - Help create a team where everyone feels safe to ask questions, raise concerns, and admit mistakes. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: United States Senior Engineering Manager, Data & AI Lead the engineering team behind Foundry, Insights, Intel, and Voice: the agents, analytics, and data intelligence of the modern freight platform. About the Role Remote, United States. Some travel is required for team onsites, customer visits, and industry events. Relocation assistance is not provided. The Senior Engineering Manager, Data & AI leads the engineering group behind Foundry, Insights, Intel, and Voice. You'll own the group's technical strategy, delivery, and quality, hire and develop its engineers, and stay hands-on by prototyping, writing evals, reading traces, and reviewing architecture in depth. The team is about eight engineers today and growing. It also owns the shared foundation those products run on: a context graph that connects loads, trips, carriers, drivers, customers, documents, and conversations; event-sourced platform data streaming into the warehouse; and the evals, tracing, guardrails, and model routing every agent depends on. Alvys facilitates more than $1 billion in funds every month across invoices, carrier payments, and driver settlements. Behind that volume is one of the richest operational datasets in freight. This team turns it into agents that do real work and intelligence customers can't get anywhere else. Engineering leaders at Alvys are builders. Expect to spend about a third of your time building. You'll set the standard for how an AI-first team works: coding agents in the daily workflow, evals before scale, and production evidence over demos. The platform runs on .NET (C#, and increasingly F#), TypeScript, and Python on Azure and AKS, with Cosmos DB, Postgres, Elasticsearch, Snowflake, dbt, and Fivetran underneath. We're looking for someone who treats AI as a first-class material, both in what we build for customers and in how the engineering team works. Industry Insight Freight runs on phone calls, emails, PDFs, and tribal knowledge. The U.S. trucking industry is worth approximately $1 trillion today and is projected to grow by roughly 60% to nearly $1.5 trillion over the next decade. Yet the work that moves that freight is still largely manual. Nearly 580,000 active U.S. motor carriers operate in a highly fragmented market; 91.5% run 10 or fewer trucks, and 99.3% run 100 or fewer. Few of these businesses will ever build a data team of their own. Every check call answered, rate confirmation read, and exception caught by software is time back for a small team running on thin margins. Freight data is also structurally messy. A single load spans brokers, carriers, drivers, shippers, and documents, each with its own identifiers, and the truth lives across EDI messages, phone calls, and free text. Generic AI tooling doesn't model any of this. That's why we're building a context graph grounded in how freight actually moves. Agents can now answer the phone, read documents, query operational data, and take actions inside a TMS. In freight, those actions move trucks and money. They must be correct, auditable, and safe. About Alvys Alvys is building the operating system for modern freight. Our AI-powered, cloud-native platform brings dispatch, driver mobile, safety and compliance, billing and settlements, native EDI, reporting, integrations, and automation into one product. We were founded in 2020 by freight industry insiders who were tired of software built by people who had never moved a load. That combination of deep customer empathy and ambitious technology still defines us. We visit customers, learn how the work actually happens, prototype quickly, debate ideas openly, and turn the best ones into products people rely on. More than 3,000 trucking and brokerage companies use Alvys today, including larger fleets with increasingly sophisticated operations. We've raised $77M to date, including a $40M Series B. That gives us real momentum and room to make bold bets, while remaining early enough that a great engineering leader can materially shape the product, team, and company. We are building more than a modern interface for a traditional TMS. Foundry, our agent platform within Alvys, helps freight teams make decisions and complete work, and this team builds it. You'll work with curious, direct, low-ego people who solve hard problems, move quickly from prototype to production, and measure customer impact. Our Principles AI makes building cheap. It does not make judgment cheap. The constraint has moved from writing code to deciding what to build and proving it is right. Agents belong in the middle of the pipeline. People remain accountable at both ends. These principles turn that into how we work every day. Own the outcome You own what you ship. "AI wrote it" is not an answer. Judgment stays human. People decide what matters and whether the result is correct. Verify independently Generation and verification are separate. Tests, review, and approval run independently of the agent that did the work. Autonomy is earned per workflow. Agents advance only on measured precision against human-verified outcomes. No number, no promotion. Design for control AI-first means security-first. Customer data stays on approved infrastructure under managed identity. Cost is an engineering constraint. Every shared workflow has termination conditions and bounded fan-out. Build durable systems Knowledge is tool-agnostic. Reviewed intent lives once; vendor-specific machinery is generated from it. Multiple vendors are a design assumption. Durable workflows don't couple to one model or harness. Twice is a pattern. Automate repeated work and share it within 48 hours. The Data & AI Portfolio The Data & AI portfolio covers Foundry, our embedded automation and agent platform, including a unified agent chat that answers questions and takes actions; Insights, conversational analytics grounded in each customer's own operating data; Intel, proprietary data intelligence drawn from third-party, licensed, and proprietary data sources; and Voice, AI voice and chat agents for load status, driver check calls, and the follow-ups in between. It also includes the shared foundation: the context graph, the data platform that feeds it, and the evals, tracing, guardrails, and model routing behind every agent. Why This Role Few engineering leadership roles combine frontier AI work, a proprietary dataset, and an industry this underserved. This one does. You build at the frontier, in production. Context graphs, self-learning agents, voice agents, and agentic automation are still being figured out across the industry. Here you ship them to real customers, on live freight operations, not benchmarks. You work with data no one else has. More than 3,000 trucking and brokerage companies run on Alvys, and more than $1 billion in funds moves through the platform every month. Combined with third-party and licensed sources, that data is the raw material for intelligence no single fleet or brokerage could build alone. Your work changes how an industry operates. With 91.5% of carriers running 10 or fewer trucks, most of our customers will never hire a data team. The agents you build give a small business the leverage of a much larger one. You own a portfolio, not a feature. Four products share one platform. You set its architecture, choose its models and vendors, and decide where the team invests as it grows. You shape the team from the start. The group is about eight engineers today. You'll hire the next wave and set the standard for how an AI-first engineering team works at Alvys. You stay close to the decisions. You report to the Head of Engineering, work directly with customers and our Forward Deployed Engineering team, and have a direct line into company planning, backed by a $40M Series B. What You'll Be Responsible For Leading and Growing the Team Manage, coach, and develop a team of about eight engineers, including senior engineers and tech leads, and grow it as the portfolio expands. Hire senior and staff engineers, and keep the quality bar high as the team scales. Run the team AI-first, with coding agents in the daily workflow and clear standards for how AI-written code is reviewed, tested, and shipped. Owning Technical Strategy Set technical direction for agents, data, and the context graph, and make the build, buy, and model calls with cost, quality, and speed in view. Make tradeoffs across four products that share one platform, including what gets built, what gets cut, and where the team invests. Building Agents That Learn Own the agent development lifecycle from prototype to production to continuous improvement. Build self-learning loops so agents improve from outcomes, user corrections, and transcripts, and make that improvement measurable. Make evals a release gate. No agent ships without tests for quality, safety, latency, and cost. Data and the Context Graph Own the context graph that links loads, trips, carriers, drivers, customers, documents, and conversations, and the entity resolution that keeps it trustworthy. Partner on the data platform that feeds it, including event streams, CDC into Snowflake, data quality, and lineage, so agents and analytics share one source of truth. Capture decision traces (the inputs gathered, the rule applied, any exception, who approved it, and why) so precedent becomes searchable for agents and people, while rules stay explicit. Combine third-party, licensed, and proprietary data sources into intelligence customers can act on, with the provenance, licensing terms, and tenant boundaries of each source respected. Safety, Isolation, and Reliability Design agents that change data with scoped permissions, human approvals, and audit trails, and defend against prompt injection and tool misuse. Enforce tenant isolation and least privilege across every agent, tool, and data path. Own reliability and unit economics. Track cost per task, per call, and per tenant, and keep margins healthy as usage grows. Staying Hands-On Spend about a third of your time building: prototype, write evals, read traces, and debug production. Review your team's designs and code with real depth, and stay current on models and tools, separating what works in production from what demos well. Cross-Functional Partnership Work as a peer to product and design leadership on direction, architecture, sequencing, and delivery. Work directly with customers and our Forward Deployed Engineering team, and turn repeated patterns into platform features. The AI Fluency We Expect We measure AI fluency by how you verify, not by how much you use AI. More autonomy is not always better. You match the level of autonomy to the risk of the work, and you hold yourself and the team to the same five competencies. Delegation: You decide whether to use AI at all, which task to hand off, and how much autonomy it gets. Description: You state goals, requirements, and limits clearly, from a single prompt up to project instructions, specs, and policy. Discernment: You check output against evidence: diffs, acceptance checks, evals, and production monitoring. Diligence: You own the effects, including data access, permissions, memory isolation, budgets, and kill switches. Systems: You know how models, context, tools, harnesses, and memory work, and where each one fails. How You Work With Agents Design multi-agent systems on paper before you build them. For each step, choose a rule, a small model, a frontier model, or a person, and measure cost per outcome, not cost per token. Start from code-orchestrated workflows and add model-led autonomy only where the task needs exploration. Keep agent-to-agent handoffs few, and give each agent a contract: inputs, allowed tools, and output schema. Put limits in code, not in prompts: hooks, sandboxed worktrees, and a stop condition, retry cap, and budget on every loop. Separate the agent that writes from the agent that checks, and give the checker fresh context. Work in an explore, plan, execute, verify, and compound rhythm, where every correction becomes a rule, skill, hook, or test. Move fluently across Claude Code, Codex, and Cursor, and choose an editor-first or agent-first surface based on who should hold the controls for the next step. Where You Take the Team Bring every engineer to running goal-based loops, where specs and checks are written first, never weakened to pass, and run by the agent itself. Move the team from steering every turn to designing the system that steers the agent: its context, its harness, and its loop. Build toward agents that run continuously in hosted sandboxes, each with its own least-privilege identity, a named owner, a budget, and a tested kill switch, with risk-scaled human review on financial actions, auth, settlements, and customer data. Close the improvement loop. Capture traces, run error analysis on real failures every week, encode the fixes, and gate every change to rules, memory, or evals behind evals and a human approver. Self-improving never means self-approving. Minimum Qualifications 8+ years building software, including 3+ years managing engineers. You've grown senior engineers and tech leads and remain a hands-on builder who can prototype, debug production, and review code credibly. Production LLM systems. You've shipped LLM-powered products to real users, not demos, and can explain what broke, what you measured, and what you changed. Agentic engineering in your own work. You build with coding agents every day and can show the multi-agent workflows, contracts, hooks, and loops you put into production, and the checks that kept them honest. Depth in agent systems. You've built with tool use, function calling, MCP, orchestration, memory, and retrieval, and you understand where agents fail. Evaluation discipline. You've built eval systems that combine offline suites, online metrics, human review, and transcript analysis, and used them to gate releases. Strong data engineering judgment. You've worked with event streams, CDC, cloud warehouses, dbt, and data quality, and you know how the shape of the data limits what models can do. Distributed systems in production. You've designed and operated production services with real reliability requirements. Multi-tenant security. You've secured multi-tenant SaaS and isolated customer data, and you treat agent permissions as a security boundary. Language fluency. You write Python or TypeScript fluently and are comfortable reading C#, F#, and .NET. Experience with F# or another functional language is a plus. Startup-stage fit. You've operated at Series B/C velocity amid ambiguity, thin support, competing priorities, and a bias toward shipping and learning. Clear technical communication. You can explain a tradeoff to an engineer, a customer, and an executive. Preferred Qualifications Knowledge graphs, context graphs, entity resolution, or GraphRAG in production. Real-time voice agents, including telephony, speech-to-text, text-to-speech, turn-taking, and latency budgets. Fine-tuning, reinforcement learning from feedback, or prompt optimization against eval sets. Embedded automation or workflow platforms such as Activepieces, n8n, or Temporal. SRE experience, or a record of running systems other teams depend on. Logistics or freight experience, or another vertical where data is deeply entangled with operations. Founder or early-stage engineering leadership experience. A history of hiring, growing, and retaining excellent engineers. Built by people who've moved freight. Come build the intelligence layer with us. Learn more at alvys.com

Location: Remote-Friendly, United States 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 Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic's Data Center Infrastructure team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry. At the scale we build, our campuses are typically served by dedicated high-voltage substations and a medium-voltage distribution network that may also integrate on-site generation and battery energy storage — and the protection, control, and automation layer is what keeps all of it selective, coordinated, and observable. As a Data Center Substation, Protection & Automation Engineer, you'll own the protection and automation architecture across Anthropic's US portfolio — from the utility point of interconnection (POI) through the HV/MV substation, the MV distribution loop, and down into LV switchgear. You'll develop and maintain our protection philosophy and reference relay settings, run and review the short-circuit, coordination, and arc-flash studies that underpin them, design the substation automation and SCADA architecture, and define how relays and meters integrate into the electrical power monitoring system (EPMS) — giving operators real-time visibility and sequence-of-events data when something trips. You'll also be our technical lead on the protection side of utility interconnection — working relay settings, transfer-trip, and ride-through requirements with transmission owners and ISOs/RTOs. Protection engineering and substation automation are the core of this role; substation physical design is a strong plus but not a prerequisite — we'd like to hear from protection and P&C engineers who have spent their careers on relays, schemes, and studies even if they haven't owned a substation general arrangement. You'll work closely with colleagues across the infrastructure team, our build partners' A/E firms, relay and switchgear vendors, and utility protection groups. Expect roughly 20–35% travel for witnessing factory acceptance and relay testing, and supporting site energization and commissioning. Responsibilities Protection engineering Own Anthropic's protection philosophy and basis of design across the electrical system — HV substation, MV distribution, generator and energy-storage interties, and LV switchgear — and maintain the reference relay settings and protection one-line templates our build partners design against Specify protective relays and develop relay settings for transformer, feeder, bus, generator, motor, and arc-flash protection applications, working across major platforms (e.g., SEL, GE Multilin, ABB, Siemens, Schneider) Perform and critically review short-circuit, protective-device coordination, and arc-flash studies; use findings to steer equipment selection, settings, and incident-energy mitigation Implement automatic transfer, load-shed, and restoration schemes in protection and automation logic, and make sure they stay secure and coordinated under every credible contingency Review protection and control design packages, relay settings calculations, and coordination studies from build partners and A/E firms against our basis of design, and drive closure on deviations and exceptions Substation automation & SCADA Design the substation automation architecture for each site — IEC 61850 station and process bus, GOOSE messaging, RTUs/gateways, local HMI, sequence-of-events recording, and time synchronization — and drive standardization of that architecture across the portfolio Integrate protective relays, meters, and switchgear controls into the electrical power monitoring system (EPMS) and substation SCADA; define electrical points lists and event/waveform capture, applying the site alarm and HMI standards Help define the network topology, redundancy, and cybersecurity boundaries between substation automation, EPMS, and the facility BMS/DCIM layer, and how protection events surface to operations Evaluate and qualify relay, RTU, gateway, and EPMS platforms on technical merit, and work with supply chain to build a diversified vendor base that mitigates lead-time and single-source risk Substation design & utility interface Review HV/MV substation design packages from build partners — single-line and three-line diagrams, bus configuration, general arrangement, equipment specifications, grounding-grid design, and control-building layout — and confirm the protection and control design is buildable and maintainable Work with local utilities, transmission owners, and ISOs/RTOs on interconnection protection requirements — relay settings submittals, transfer-trip and communications-assisted schemes, POI study review, and protection settings that satisfy ride-through and grid-code requirements Review the protection and control interface for on-site generation and battery energy storage interconnections, including anti-islanding, synchronizing, and intertie protection Support NERC PRC compliance for applicable facilities — settings documentation, misoperation analysis, and periodic maintenance and testing basis Testing, commissioning & standards Develop relay test plans and factory and site acceptance test procedures for protection and automation systems, and witness FAT, relay secondary-injection testing, GOOSE messaging and end-to-end scheme testing, and integrated systems testing Review the protection and control steps of energization and switching methods of procedure (MOPs), support first-energization of substations and MV distribution, and resolve protection and control issues found in the field Lead root-cause analysis of protection operations and misoperations using relay event records, sequence-of-events data, and disturbance records, and feed findings back into settings and standards Build and continuously improve Anthropic's internal protection and automation standards — settings templates, scheme logic libraries, test procedures, and commissioning checklists — so each new site starts from a proven baseline You may be a good fit if you Have 10+ years of experience in power system protection engineering, substation automation, or substation design for utility, heavy-industrial, or mission-critical facilities Hold a bachelor's degree in Electrical Engineering or a closely related field, or have equivalent practical experience; Professional Engineer (PE) licensure is valued but not required Have deep, hands-on expertise applying and setting protective relays for transformers, feeders, buses, generators, and switchgear, and are fluent in at least one major relay platform (e.g., SEL, GE Multilin, ABB, Siemens) Are fluent in short-circuit, protective-device coordination, and arc-flash analysis and comfortable running or critically reviewing studies in tools such as SKM, ETAP, EasyPower, ASPEN, or CAPE Have hands-on experience integrating protective relays into substation automation or SCADA systems using protocols such as DNP3, Modbus, or IEC 61850, and understand RTU/gateway and sequence-of-events architecture Have worked on utility interconnection protection — relay settings submittals, transfer-trip or communications-assisted schemes, or point-of-interconnection protection requirements — from either the utility or the customer side Can read, interpret, and mark up single-line and three-line diagrams, AC and DC schematics, relay panel drawings, and wiring diagrams with confidence Have developed relay test plans and witnessed factory acceptance testing, secondary-injection testing, or field commissioning of protection and control systems Are familiar with the codes and standards that govern protection and substation work — such as the IEEE C37 series, IEEE 1584, NFPA 70/70E, and (for utility-connected or bulk-electric-system facilities) NERC PRC reliability standards Communicate clearly with both technical peers and non-specialist stakeholders, and are results-oriented, with a bias toward practical solutions and a willingness to pick up work outside your core remit when the team needs it Strong candidates may also have HV/MV substation physical design experience — general arrangement, bus configuration, power transformer and HV breaker specification, grounding-grid design per IEEE 80, insulation coordination, and control-building layout Experience with protection and control for on-site generation (gas turbines, reciprocating engines, fuel cells) and battery energy storage systems, including anti-islanding, synchronizing, and microgrid transfer schemes Background in data center, hyperscaler, or other high-availability electrical distribution, and familiarity with critical-power topologies (2N, N+1, distributed redundant) Experience owning NERC PRC compliance evidence for a generation or transmission asset — settings basis documentation, misoperation reporting, and PRC-005 maintenance programs Proficiency with vendor relay engineering tools such as SEL AcSELerator, GE EnerVista, ABB PCM600, or Siemens DIGSI, and with IEC 61850 system configuration tools Designed IEC 61850 station- or process-bus systems with GOOSE-based protection or interlocking schemes Prior work at a utility, relay or switchgear manufacturer, protection-engineering consultancy, or hyperscaler serving large-load interconnections 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: $320,000 — $405,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: US - Headquarters - Maryland - Columbia Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: As an AI Security Engineer on Tenable's Information Security team, you will help shape and mature our approach to securing AI both within Tenable's products and across the enterprise. AI introduces a new class of risk at the intersection of application security, cloud risk, and data governance, and you will be on the front lines of defining how we assess, test, and address it. You will apply hands-on AI engineering experience alongside product security and application security skills to design security controls for AI systems, lead assessments, and help engineering teams ship AI features securely. You will establish security standards for responsible AI use, influence decisions across the organization, and build tooling that raises our security posture. This role is ideal for a practitioner who has spent time building or tinkering with AI systems, looking under the hood of model internals, and wants to channel that experience into a security specialty. Your Opportunity: Design, implement, and maintain end-to-end security controls across the AI/ML lifecycle. Assist in the implementation of robust security guardrails, controls, and boundary mechanisms for Large Language Models (LLMs), Small Language Models (SLMs), and open-source models. Continuously monitor the AI landscape for novel vulnerabilities and attack techniques, applying deep engineering experience to proactively defend enterprise AI deployments. Assist in developing security reference architectures for AI deployment patterns, including MCP servers and agentic AI workflows and harnesses. Deploy controls to ensure model integrity, governance, and proper access control across models and feature stores. Build AI-driven tooling to strengthen cybersecurity posture across identity, incident management, vulnerability management, third-party risk, and emerging AI threat vectors. Perform AI safety, security assessments, threat modeling for AI/ML systems, identifying risks such as data poisoning, model evasion, model extraction, adversarial inputs, and integrity attacks. Collaborate with software engineers, and product teams to integrate security best practices into AI development, training, validation, and deployment processes. Create security guidance, documentation, and training for internal engineering and development teams; develop metrics that drive desired security behaviors and outcomes. Assist in researching emerging trends in AI security and contribute to innovative solutions that support Tenable's AI initiatives. What You'll Need: 2 or more years of professional experience in information security or application security, with at least a demonstrated interest on securing AI/ML systems. Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or a related field preferred. Awareness of AI-specific security threats, including adversarial ML, data poisoning, prompt injection, model inversion, model evasion, and inference attacks. Knowledge of data security principles, including encryption, masking, and tokenization. Knowledge of SSDLC, DevSecOps, and security testing practices, including SAST, DAST, SCA, and threat modeling. Knowledge of application security architecture best practices and patterns, including modern web applications, Docker, and microservices. Ability to work cross-functionally across engineering, product, and business teams. Strong written and verbal communication skills; able to clearly translate complex AI security risks for both technical and non-technical audiences. Strong problem-solving skills, attention to detail, and ability to lead projects with end-to-end ownership. Self-motivated and effective working independently and across distributed teams. And Ideally: Hands-on experience with AI red teaming, adversarial prompt testing, or LLM security assessments. Basic coding experience in Python and/or Go. Experience with frameworks & libraries such as PyTorch, Hugging Face Transformers, TensorFlow or similar. Strong understanding of the ML/AI lifecycle and the security risks associated with each stage. Experience with application security assessment tools (Burp Suite, ZAP, Tenable WAS, etc.) Knowledge of cloud security platforms: AWS, Azure, or GCP including AI/ML-related services. Security certifications: CISSP, CSSLP, SANS GIAC, CEH, or AI-focused security certifications are a plus, but not necessary. #LI-Hybrid #LI-MS1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $102,500 — $136,500 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: Amsterdam Workplace: OnSite ABOUT US: Tebi is creating the first Connected Restaurant Management System that makes hospitality flow. In one seamless platform, Tebi embeds sales, reservations, kitchen prep, payments, and all the data that powers it, creating smooth service and intuitive insights. Founded by Arnout Schuijff, co-founder of Adyen, and backed by €50 million in funding from Index Ventures & CapitalG, Tebi is built in service of hospitality first. Thousands of restaurants, cafés, bars, and coffee shops across the Netherlands, UK, Italy, Spain, Germany, Denmark and Finland already love running on Tebi.   ABOUT THE ROLE: We’re looking for a Senior AI Engineer to build and run the agents at the heart of Tebi OS. You’ll design, ship, evaluate and scale our Product Agents, along with the data pipelines, tools and infrastructure that make them reliable in production. The ideal candidate started in data or ML engineering and has since moved into AI engineering, building LLM-powered agents for real users. You enjoy turning messy financial and operational data into context an agent can reason over and act on with confidence and you are passionate about solving product challenges through AI. You’ll work closely with product and engineering to put intelligence into the hands of hospitality teams. That could be an agent that answers questions about a restaurant’s finances in real time, one that automates repetitive back-office tasks, or internal tools that help us move faster. WHAT YOU’LL DO: - Design, build and operate production agents: orchestration, tool and function calling, memory, multi-step reasoning, and integration with Tebi’s backend services - Build the data foundations agents rely on, including real-time and batch pipelines over financial and operational data, retrieval layers, and well-modeled datasets agents can query safely and accurately - Turn APIs and internal services into well-defined agent tools, and own the contracts between agents and the rest of the platform - Set up evaluation for agent behavior: offline eval sets, LLM-as-judge and human review, regression testing on prompt and model changes, and feedback loops that improve agents over time - Own observability for agents in production by tracing sessions, tool calls and model calls, and tracking latency, cost, error rates and quality - Work with product teams to find where agents can meaningfully improve the customer experience or internal workflows, and say clearly where they can’t - Make sure agents handle data securely and responsibly, with sensible guardrails, access controls, and protection against prompt injection and data leakage WHAT YOU’LL BRING: - 7+ years in software engineering, with a solid base in data or ML engineering - Hands-on experience building and shipping LLM agents to production, not just prototypes. You’ve dealt with flaky tool calls, runaway loops, hallucinated arguments and token budgets, and you have opinions on how to handle them. - Strong data modeling and data warehousing fundamentals, plus experience with ingestion, transformation and data quality - Strong SQL, and experience with pipeline tools (e.g. Airflow, dbt) and analytical or cloud data platforms (e.g. ClickHouse, BigQuery, Snowflake) - Experience evaluating and monitoring LLM systems, and an understanding of the full lifecycle from experiment to deployment to ongoing improvement - Backend engineering skills: you’re comfortable building the API endpoint that exposes an agent’s output to the frontend, or the service an agent calls as a tool - Clear communication, including the ability to explain trade-offs in latency, cost, accuracy and complexity to product partners - A product mindset. You care about how your work lands with users, and you’re keen to meet customers face to face to understand their needs. This probably isn't the role for you if you have been working with AI agents to improve your day to day working flows but you haven’t built an Agent in the production. People who succeed at Tebi are independent, curious and passionate about hospitality. If this speaks to you we can be the right fit. Learn more about how we work from our Recipe here: https://www.tebi.com/gb/careers . BENEFITS: - Start-up Equity - Competitive Salary - Lunch Provided in Office - Team building events - Unlimited time off What is Restaurant Software? Restaurants and other merchants use various software systems such as Point of Sale (POS), Reservations, Kitchen Display Systems (KDS), Payments, Inventory, Staffing, and the list goes on. These systems all need to speak to each other which they frequently don’t. It’s a mess, and we are fixing it. From buying a croissant at a cafe to having dinner with friends, it’s a €4 Trillion+ global market and a critical part of everyday life in today's economy. How we use AI at Tebi We use AI the way our merchants use Tebi, to cut out the friction and get to what matters faster. We believe in a world where AI increases quality, efficiency and speed. At Tebi, AI isn't a policy or a checkbox, it's just part of how we work. It helps us write, analyse, build, and improve but doesn’t make the last call. If there's a smarter way to do something, we want to find it.

Location: Москва Разрабатываем и сопровождаем AI-агентов для автоматизации бизнес-процессов Центра Управления Наличным Денежным Обращением: работу с корпоративными данными, аналитические сценарии и интеграции с внутренними системами. Ищем Python-разработчика с практическим опытом создания AI-агентов и мультиагентных решений. Обязанности * разрабатывать AI-агентов и мультиагентные сценарии на Python (LangGraph, LangChain) * реализовывать память агентов, управление состоянием, историей диалогов и контекстом между сессиями * создавать RAG-системы и интеграции с корпоративными источниками данных * настраивать Tool Calling, Structured Outputs, маршрутизацию задач и оркестрацию агентов * интегрировать решения с REST API, Kafka, базами данных и внешними сервисами * тестировать, оптимизировать и сопровождать агентов в промышленной среде. Требования * Python: коммерческая разработка от 2 лет; FastAPI, asyncio, SQL, Git, Docker; понимание CI/CD * практический опыт разработки AI-агентов на LangGraph/LangChain или аналогичных фреймворках; работа с LLM API, промптами, Tool/Function Calling и Structured Outputs * опыт создания мультиагентных систем: распределение ролей, оркестрация, передача задач и управление состоянием; знание MCP и A2A * опыт реализации краткосрочной и долгосрочной памяти, хранения истории взаимодействий и управления контекстом (PostgreSQL, Redis или аналоги) * опыт построения RAG: чанкинг, эмбеддинги, поиск, реранжирование; работа с векторными хранилищами (Qdrant, pgvector, FAISS или аналоги) * опыт интеграции с REST API и Kafka, понимание обработки ошибок и отказоустойчивости * навыки тестирования и оценки качества ответов агентов, логирования и мониторинга * знание методов защиты от Prompt Injection, принципов разграничения доступа и безопасного вызова инструментов БУДЕТ ПЛЮСОМ * Langfuse, LangSmith или другие инструменты трассировки и оценки качества * gRPC, WebSocket, Kubernetes * опыт построения автоматизированных проверок качества AI-агентов. Условия * комфортный современный офис (Волгоградский пр.) офисный режим работы * ежегодный пересмотр зарплаты, годовую премию * корпоративный спортзал и зоны отдыха * уникальную систему обучения Сбера для профессионального и карьерного развития * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративную пенсионную программу

Location: Germany Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for an Account Manager to support our growth and play an active role in our company’s development in the DACH region (Germany, Austria, Switzerland), with a focus on managing and expanding customer relationships. The main goal of this position is to grow and manage a portfolio of accounts in industries such as machine building, robotics, and automotive electronics, applying best practices in account management and consultative sales. You will also support company development through process improvement suggestions, new ideas, and innovation proposals. Quantitative goal: achieving individual and account-level sales targets across an assigned portfolio of German-speaking customers. How You’ll Contribute: Own and grow a portfolio of accounts across specific industries and/or geographies within the DACH region Develop and execute account plans that deepen relationships, expand share of wallet, and secure repeat orders Manage the full sales cycle, from initial contact through order placement, and ensure a steady flow of repeat business Serve as the primary, trusted point of contact for customers throughout the project lifecycle Acquire new accounts and build a robust opportunity pipeline in target industries and geographies Convert incoming warm leads and develop them into long-term customer relationships Maintain accurate, timely, and consistent records of the sales process in the CRM system What You’ll Bring to Xometry: Experience: 3+ years in sales or account management, with a proven track record of managing and growing accounts in industries such as Rapid Prototyping, Engineering, Robotics, Automation, or 3D Printing Account Management Expertise: Demonstrated success developing and executing account plans, expanding customer relationships, and driving repeat revenue Industry Knowledge: Understanding of metalworks, 3D printing, or injection molding is a major advantage Customer Focus: Genuine enjoyment of sales and account management, acting as a trusted advisor to customers Tech Savvy: IT and digitalization enthusiast, comfortable using modern technologies and software Adaptability: Readiness to thrive in a dynamic, fast-growing startup environment Languages: Fluent German (native or C1+) and full professional proficiency in English Personal Qualities: Results-oriented, with a strong focus on achieving targets and driving growth Proactive and self-motivated, able to manage an account portfolio independently Customer-centric, with a passion for understanding and meeting client needs Strong analytical and solution-finding skills, able to identify both opportunities and challenges Adaptable and resilient in a dynamic business environment High ethical standards and a professional demeanor Strong team player with excellent interpersonal skills Working Conditions: Sales incentive scheme / sales commission Corporate laptop and smartphone Salary structure: monthly base salary + bonus (2% of sales, uncapped) Place of work: Remote/hybrid - depends on a location, with occasional international travel (Lyon, France and Germany) Reports to: Sales Leader Life at Xometry: Team Spirit & Friendly Atmosphere: We work in an open, friendly, and trusting environment that welcomes initiative; everyone is ready to help and support one another, and we celebrate wins together and appreciate everyone’s contribution Development Opportunities: As a fast-growing company, every new task is an interesting challenge for the team We Care: Ongoing, free well-being activities for our people and charity projects worldwide Flexibility: Speed and flexibility are among our biggest advantages, allowing us to adapt quickly and stay effective amid uncertainty Onboarding: A well-structured onboarding plan that brings together process, technology, and systems into one smooth experience Please send your CV in English. #LI-Remote #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia New opportunities in Latin America! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a Senior Full-Stack Software Engineer to join our team and work on an orchestration platform for a leading global fintech company. The platform enables business partners to integrate once and offer a growing range of embedded financial products to their clients. In this role, you’ll develop and maintain React.js applications, embeddable widgets, and .NET services, contribute to AWS-based solutions, and support the delivery of secure, reliable, production-ready software. 🟩 What's in it for you: Help shape a growing platform that enables a wide range of embedded financial products Tackle complex engineering challenges across React.js, .NET, AWS, and partner integrations Influence technical decisions, guide the team, and stay hands-on with development ✅ Is that you? 10+ years of experience developing and supporting production software Strong C#/.NET Core skills, including REST APIs, dependency injection, async programming, testing, and secure coding Hands-on experience with React.js, JavaScript/TypeScript, component architecture, state management, HTML, and CSS Experience with PostgreSQL, MongoDB, or similar relational and document databases Experience with microservices, API-first development, third-party integrations, and resilient distributed systems Hands-on experience with AWS, Docker, and Kubernetes/EKS Ability to write automated unit and integration tests and troubleshoot UI, API, data, and cloud issues Experience with Git workflows and CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI Ability to translate requirements into maintainable, well-documented solutions Experience providing technical leadership and guidance to engineering teams Valid U.S. visa and ability to travel to the U.S. for onboarding and knowledge transfer Desirable: Experience with embeddable widgets, micro-frontends, white-label apps, or multi-tenant SaaS Experience with AWS Lambda, Step Functions, ECS batch, S3, KMS, certificate or secret management Exposure to Python services, data pipelines, and unittest Experience with Terraform/Pulumi and GitOps tools (Argo CD) Experience with Splunk, Datadog, Grafana, CloudWatch, distributed tracing, and incident support Background in financial services, payments, embedded finance, lending, or banking 🧩Key responsibilities and your contribution In this role, you’ll combine hands-on engineering with technical leadership to deliver high-quality, reliable software solutions. Develop and maintain React.js applications, portals, and embeddable widgets Build secure REST APIs and microservices using C# and .NET Core Implement business workflows and integrations with finance providers, partners, enterprise APIs, webhooks, file exchanges, and AWS services Design and maintain PostgreSQL and MongoDB schemas, queries, migrations, and data-access patterns Contribute to AWS workloads using EKS, Lambda, containers, and Step Functions or equivalent orchestration Write unit, component, integration, contract, and end-to-end tests Build reusable UI components and improve accessibility, performance, and maintainability Guide engineers and contribute to API/event-contract design, code reviews, architecture discussions, and documentation Support infrastructure automation using CI/CD, Docker, Kubernetes, and infrastructure as code Implement logging, metrics, tracing, and alerts; troubleshoot issues across application layers Collaborate with QA and operations on testing, release readiness, and recovery procedures Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.