Вакансии

Location: Mbombela, South Africa At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Australia. We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle. Why Join Us? Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect Competitive compensation & attractive perks Minimal admin burden — we handle scheduling, billing, client matching Diverse client base — from local employees to regional/global Fortune 500 companies Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership What You’ll Do Provide 1:1 telehealth and onsite coaching, counselling, or therapy-style consultations, offering general advice only (not treatment) Deliver CISP (Critical Incident Stress Programme) virtually or onsite as needed Facilitate webinars and in-person seminars (optional) Support employees with wellbeing, stress, and resilience Collaborate with Intellect’s internal clinical team to improve EAP programs Requirements Education: Bachelor or Master’s Degree in Clinical Psychology/Counselling. License: Must be registered in Health Professions Council of South Africa (HPCSA) Additional languages: Afrikaans Willingness for Police Check and/or Working With Children Check (not mandatory, only if requested by some clients Background in managerial or leadership support (e.g., coaching managers, HR advisory) Prior EAP or workplace counselling experience Flexibility for occasional onsite sessions Benefits Let’s Talk This is more than a job. It’s your chance to: Work with a global provider network Broaden your clientele base beyond local users Grow your career outside of sessions through research, content, and webinars Access supervision & CE most EAPs don’t provide If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you. Apply today and join Intellect in transforming workplace mental health across the country and beyond.

Location: KuGompo City, South Africa At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Australia. We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle. Why Join Us? Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect Competitive compensation & attractive perks Minimal admin burden — we handle scheduling, billing, client matching Diverse client base — from local employees to regional/global Fortune 500 companies Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership What You’ll Do Provide 1:1 telehealth and onsite coaching, counselling, or therapy-style consultations, offering general advice only (not treatment) Deliver CISP (Critical Incident Stress Programme) virtually or onsite as needed Facilitate webinars and in-person seminars (optional) Support employees with wellbeing, stress, and resilience Collaborate with Intellect’s internal clinical team to improve EAP programs Requirements Education: Bachelor or Master’s Degree in Clinical Psychology/Counselling. License: Must be registered in Health Professions Council of South Africa (HPCSA) Additional languages: Afrikaans Willingness for Police Check and/or Working With Children Check (not mandatory, only if requested by some clients Background in managerial or leadership support (e.g., coaching managers, HR advisory) Prior EAP or workplace counselling experience Flexibility for occasional onsite sessions Benefits Let’s Talk This is more than a job. It’s your chance to: Work with a global provider network Broaden your clientele base beyond local users Grow your career outside of sessions through research, content, and webinars Access supervision & CE most EAPs don’t provide If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you. Apply today and join Intellect in transforming workplace mental health across the country and beyond.

Location: New York, New York Workplace: hybrid About the Company Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem. Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation.   About You You are proactive, reliable, and enjoy helping people solve problems. You are highly organized, eager to learn, and comfortable supporting both technical and non-technical teams. You enjoy being hands-on, can adapt quickly in a fast-paced environment, and are willing to take ownership of day-to-day operational tasks to help keep the office and systems running smoothly. Responsibilities Provide day-to-day IT support for employees across hardware, software, accounts, and access-related issues Assist with employee onboarding and offboarding, including laptop setup, account provisioning, and equipment management Troubleshoot basic network, system, printer, conferencing, and office technology issues Coordinate with internal teams and external vendors on IT-related requests and maintenance Help manage inventory of laptops, accessories, and office IT equipment Support company tools and platforms such as Google Workspace, Slack, Zoom, Okta, and related systems Assist with documenting IT processes, setup guides, and internal procedures Provide general operational support for office and cross-functional team needs when required Requirements Bachelor's Degree in Computer Science, Engineering or related field 2+ years of experience in IT support, help desk, office IT, or a related field preferred Basic understanding of computer systems, networking, and common SaaS tools Strong communication and interpersonal skills Organized, detail-oriented, and responsive Comfortable working in a fast-paced environment with shifting priorities Willingness to learn new systems and technologies Must be based within a reasonable commuting distance of our Manhattan office and able to work onsite as needed Plus Located near or able to commute conveniently to our Midtown Manhattan office Experience supporting macOS environments Familiarity with Google Workspace, Okta, Slack, Zoom, or MDM tools Previous experience supporting office operations or employee onboarding processes Interest in cybersecurity, blockchain, or Web3 Salary: $70,000–$100,000 per year, depending on experience, qualifications, and overall fit for the role. CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles.   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.   CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.   CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf   All CertiK employees are expected to actively support diversity on their teams, and in the Company.

Location: New York; Ohio; Rhode Island; New Jersey; Delaware; Maine; Maryland; Vermont; North Carolina; Florida; Massachusetts; South Carolina; Virginia; Connecticut; Georgia; Pennsylvania; New Hampshire Workplace: Remote The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. As a Senior Infrastructure Engineer in the Investigations group, you'll be a technical leader on the Government Systems team — the group responsible for the deployment platform and operational infrastructure that delivers Chainalysis Reactor to government and high-security customers. The mission of the Government Systems team is to ensure that Chainalysis's most security-sensitive customers can run Reactor reliably in their own environments — including networks with strict access controls and limited connectivity. Government Systems sits at the intersection of infrastructure operations and product delivery. Product teams own their application code, but rely on Government Systems to provision environments, manage release pipelines, and operate the deployment platform. As a senior engineer you will be the connective tissue between these groups — setting technical direction, resolving cross-cutting issues, and ensuring the platform evolves to meet growing demands. Note: This position requires eligibility to access U.S. Government information and systems. Due to applicable government security requirements, only U.S. citizens are eligible for this role. Due to collaboration with Europe, we are highly prioritizing candidates based in EST timezone. In this role, you'll: - Lead the design and evolution of RKE2 Kubernetes clusters across development, acceptance, and production environments — driving upgrades, capacity planning, networking strategy, and operational resilience - Architect and maintain infrastructure as code (Terraform) to provision and manage AWS-based environments, establishing patterns and modules that the team can scale with confidence - Own the CI/CD platform (GitHub Actions) end-to-end — designing pipeline architecture, improving build performance, and ensuring releases flow reliably through staged environments - Drive GitOps-based delivery strategy using Flux CD, defining standards for Helm charts and Kustomize overlays and ensuring consistent reconciliation across clusters - Define container image lifecycle policies — building, signing, storing, and distributing images across OCI registries for multiple deployment targets - Identify and eliminate operational toil through automation, improving environment provisioning, configuration management, and deployment processes at a systemic level - Establish and maintain monitoring, alerting, and incident response practices — owning dashboards, runbooks, and post-incident reviews that raise platform reliability over time - Serve as a technical point of contact for product service teams integrating into the deployment pipeline — unblocking teams, troubleshooting complex environment issues, and advocating for infrastructure best practices - Own the security posture of the deployment platform — managing secrets, certificates, RBAC policies, and security configurations to meet compliance and operational security requirements - Mentor and grow other engineers on the team through code review, pairing, design discussions, and knowledge sharing We're looking for candidates who have: - Deep experience operating Kubernetes in production at scale — cluster lifecycle management, Helm, networking, persistent storage, performance tuning, and complex workload troubleshooting - Expert-level proficiency with Terraform for provisioning and managing cloud infrastructure across multiple environments, including module design and state management strategies - Strong Linux systems administration skills (RHEL or similar — networking, storage, systemd, performance analysis, shell scripting) - Extensive experience designing and maintaining CI/CD pipelines (GitHub Actions, Jenkins, or similar), with a focus on reliability, speed, and developer experience - Deep familiarity with AWS services commonly used in infrastructure (EC2, S3, VPC, IAM, EBS, Lambda, and related networking and security services) - A strong operational mindset — you take ownership of reliability, think about failure modes proactively, and build automation to prevent recurring issues before they impact customers Nice to have experience: - Experience with GitOps tools such as Flux CD or ArgoCD in complex, multi-environment setups — including designing promotion strategies and managing drift - Familiarity with container registry operations, image distribution, OCI artifact management, and image signing or verification workflows - Experience managing databases in Kubernetes environments (e.g., PostgreSQL operators, stateful workloads, backup and recovery strategies) - Familiarity with Kafka or other message brokers in a containerized environment, including operational management and scaling - Experience with configuration management or automation tools (Ansible or similar) at fleet scale - Advanced scripting proficiency in Python for infrastructure automation, tooling, and integration work - Experience supporting environments with strict security or compliance requirements (FedRAMP, FIPS, IL environments, or similar) - Exposure to or passion for the cryptocurrency technology ecosystem Technologies we use: - Kubernetes: RKE2, Helm, Kustomize, Flux CD - Cloud provider: AWS (EC2, S3, EBS, VPC, IAM, Lambda) - Infrastructure as code: Terraform - CI/CD: GitHub Actions, semantic-release - Monitoring and alerting: Prometheus, Grafana, Datadog, Humio - Scripting and automation: Shell, Python - Container registries: OCI/Docker - Database management: PostgreSQL - Event streaming: Kafka - Operating systems: RHEL, Rocky Linux, Amazon Linux AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? At Fin you'll be a Systems Engineer in IT, working on evolving our IT infrastructure with a focus on deliverability, identity & access management and compliance. This is a great opportunity to join an ambitious AI-native IT team that leverages SaaS-based solutions to be at the forefront of business process and employee lifecycle automation. If you're coming from a traditional systems engineering or DevOps background, this role will expand the scope of your experience to truly agile, modern cloud environments. If you're already in the identity management and employee lifecycle automation space, this is the chance to take an ambitious next step in your career and be part of an engineering organisation that is scaling at incredible speed. What will I be doing? Build and own automations. Design efficient, maintainable automations across identity & access management, endpoint management, security, compliance and corporate email deliverability, using AI tooling and no-code platforms like Tines and Workato. Evolve corporate IT infrastructure. Take part in high-impact cross-organisational projects to integrate and expand our infrastructure, with a strong emphasis on infrastructure-as-code. Champion automation and AI adoption. Govern and promote adoption through enablement and education, eliminating friction and toil and lead impact across the organisation in line with our values. Evaluate and adopt new tooling early. Trial emerging features and products, including as beta testers, to optimise how the organisation works. Strengthen security posture. Drive IT incident response alongside InfoSec and engineering and partner with InfoSec on corporate and AI security standards, risk management and data protection for business-critical workflows. What skills do I need? First and foremost, you must have a passion for systems and automation and the desire to develop your skills in a fast-moving company! Having experience with iPaaS platforms and enterprise email deliverability are a plus. You have 3 to 5 years of experience as a Systems Engineer and possess great problem-solving skills with the ability to challenge assumptions by making data-driven discoveries and finding corresponding solutions. You have good knowledge of a high-level programming language, e.g. Ruby, Python, Perl etc… Note that the language doesn’t have to be one that we use here! You have experience building and operating systems in the cloud, without a traditional corporate network perimeter. Our primary IT infrastructure is built on AWS, Okta, Google Workspace, Jamf Pro, Intune, Tines and Workato. Nice to have: You have built robust, scalable integrations between billing and an ERP system, preferably Netsuite. *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $142,000 - $162,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is looking for a high-performance, experienced engineer to be a part of a team of Site Reliability Engineers. You will be working closely with engineering teams, product managers, as well as support and sales engineers to build the future of the Fivetran Data Platform Reliability. As a member of the Site  Reliability Engineering team, you will take ownership of the overall performance and reliability of Fivetran’s infrastructure, the robustness of the deployment pipeline, as well as timely and effective incident response and resolution. You will take responsibility for the growth and stability of Fivetran’s infrastructure, and be a key player driving effective incident response and overall issue avoidance. Technologies You’ll Use Working knowledge of managed Kubernetes (EKS, AKS and GKE) Knowledge of Cloud Platforms and related tooling: AWS, Azure, GCP, Terraform, Ansible, Buildkite, Pulumi and ArgoCD Experience in Python/Shell scripting. Bonus if you have Java, GO, etc Experience with Linux operating systems internals and administration Experience with cloud networking like VPNs, Privatelinks, and Private Service connect (GCP) Experience with databases such as PostgreSQL What You’ll Do Responsible for ongoing reliability and robustness of Fivetran’s production infrastructure by monitoring availability, capacity, and throughput. Evolve systems by adding reliability into our product roadmap Coordinate the re-prioritize or fix critical bugs for support or sales requirements as needed Make recommendations to production infrastructure by interfacing with engineering to ensure 100% availability Ensure scalable artifacts deployment to all environments by automation scripts Constantly monitor infrastructure vulnerabilities and remedy them by working with the security team Skills We’re Looking For 9+  years of  experience working with SaaS products at scale. Working knowledge of managed Kubernetes (EKS, AKS and GKE). Knowledge of Cloud Platforms and related tooling: AWS, Azure, Google Cloud (GCP), Terraform, Ansible, Buildkite, Pulumi and ArgoCD. Experience in Python/Shell scripting and Go Language. Bonus if you have Java. Experience with Linux operating systems internals and administration Experience with cloud networking like Site-to-Site VPNs, Privatelinks and Private Service connect (GCP) # LI-HYBRID #LI-AV1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Director of Detection Engineering and Threat Hunting Location: Remote, US Compensation: $220,000 to $240,000 base plus bonus and equity What You’ll Do: We are seeking an experienced leader to own the strategy, execution, and growth of our North American Detection Engineering & Threat Hunting (DE&TH) operations. While you will align with the DE&TH Director on the overarching 18-month vision, you will have autonomy to drive the operational tempo and outcomes for your region. You will provide weekly supervision to focus on scaling the team, managing regional hiring/budgeting, and serving as a strategic partner to Product and Engineering. You will manage a team of technical practitioners. Your mission is to operationalize our "hunt-to-detect" feedback loop at scale, ensuring that our detection portfolio matures in lock-step with our platform's growth, while collaborating with your counterparts in other regions to ensure a seamless, 24/7 global defense. Responsibilities: Regional Operational Leadership: Own the execution of the DE&TH mission for the North America region. You will translate global strategic goals into actionable regional roadmaps, ensuring that our NA-based hunters and engineers are focused on the highest-value threats. Team Scaling & Talent Strategy: Manage and grow a team of practitioners. You are responsible for the region's hiring strategy, capacity modeling, and performance management. You will mentor up to Staff and Principal practitioners, helping them navigate technical leadership paths. Cross-Functional Alignment: Strategize with leaders in Product, Engineering, and Security. Global Collaboration: Partner closely with regional managers in EMEA/APAC to ensure consistent standards, seamless handoffs, and shared knowledge. You will ensure that "how we hunt" in North America contributes to and benefits from our global ecosystem, preventing regional silos. Incident Command: Serve as the senior leadership point of contact for DE&TH during North American business hours. During high-impact security incidents or mass exploitation events, you will provide calm, strategic direction to the team and effective communication to executive stakeholders. Efficacy & Accountability: You are responsible for the results of the NA region. You will track and report on key performance indicators and drive systemic improvements when metrics deviate from our standards. What You Bring To The Team: Proven Management Experience: 5+ years of experience leading technical security teams (Detection Engineering, Hunting, or IR), with specific experience managing distributed or remote teams. Strategic Mindset: You can balance local autonomy with global alignment. You know how to run your region as a business unit—managing resources and priorities—while adhering to global standards. Technical Gravity: While you are less involved in day-to-day coding than a Team Lead, you possess the technical depth to guide Staff/Principal Engineers. You understand "Detection-as-Code" principles, adversary tradecraft, and can adjudicate complex technical disagreements. Advocacy & Communication: You are a skilled advocate for your team. You can effectively communicate the value of proactive hunting to non-technical stakeholders and negotiate with Product/Engineering for the tooling and telemetry your team needs to succeed. What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ The DHI Content team builds and maintains Docker Hardened Images: a catalogue of security-hardened system packages, container images and Helm charts designed to be minimal, up to date and safe to use in security-conscious and regulated environments. This is a supply-chain and open-source maintainer role rather than a conventional backend engineering role. You will work across upstream OSS projects, package and image definitions, Helm charts, Kubernetes, integration tests, vulnerability remediation and the controls that prove content is ready to publish. The work is broad by design: customers should be able to select hardened packages and images and, where relevant, deploy them through hardened charts without the pieces drifting apart. We are moving DHI content production towards a machine-first factory. Routine work should begin with a machine-produced change and pass through automated build, test, policy and review controls. Engineers add the most value by handling difficult ecosystems, making security judgements, improving standards and turning repeated human corrections into better tooling. You will use AI-assisted engineering extensively, but remain accountable for the evidence and quality behind every result. As a Senior Supply Chain Security Engineer, you will own substantial content and improvement work from upstream discovery through release and ongoing maintenance. You will be expected to close the loop on customer and security outcomes, not only submit individual definition changes. SUCCESS IN THIS ROLE LOOKS LIKE You will succeed by becoming a trusted end-to-end owner for hardened content. Within your first year, you should have delivered complex new or updated DHI content across packages, images and Helm charts, improved the factory or its quality gates, reduced recurring manual work and raised the capability of the engineers around you. RESPONSIBILITIES - Author and maintain definitions for hardened system packages and container images, including build steps, upstream tracking, multi-architecture support and reproducibility controls. - Adapt and maintain upstream Helm charts so they work correctly with DHI images under non-root, restricted and production-shaped Kubernetes security constraints. - Track upstream releases, semver patterns, monorepos, dependency chains and breaking changes, then make pragmatic decisions about when to update, patch, pin or deviate. - Triage and remediate vulnerabilities across OS packages, application dependencies, images and charts, including VEX and no-upstream-fix cases that require explicit security judgement. - Write and improve Go-based integration tests, validators and policy checks that prove packages, images and charts behave correctly in real environments. - Review human-authored and machine-authored pull requests against DHI standards, distinguish blocking issues from advice and give contributors a clear path forward. - Improve the DHI Factory by converting repeated work, review corrections and escaped defects into automation, tests, validators and reusable authoring patterns. - Help classify work into deterministic, specialist and judgement paths so people spend time where their expertise changes the outcome. - Partner with Product, Security, Support and customer-facing teams to turn demand and incidents into prioritised content and durable improvements. - Engage constructively with upstream maintainers when hardened deployment requirements expose issues or useful improvements. - Participate in the team's paid on-call rotation and drive learning from customer escalations, failed builds and content defects. - Communicate decisions, risks and progress clearly in a remote, async-first environment. QUALIFICATIONS REQUIRED - Strong experience with containers, Linux and Kubernetes in production or production-shaped environments. - Practical experience reading, adapting or maintaining Helm charts and diagnosing how chart templates, values and workload security settings affect deployment behaviour. - Experience maintaining software you did not originate, such as Linux packages, container images, open-source integrations, charts or a comparable downstream distribution. - Strong YAML and configuration-review skills, including care for conventions, consistency and downstream impact across a large catalogue. - Working knowledge of container and Kubernetes security, including non-root execution, UID and GID, capabilities, filesystem restrictions, image layers and multi-architecture builds. - Practical programming ability in Go or a comparable language, sufficient to write and review integration tests, validators and content automation. - Experience tracking upstream releases and reasoning about semver, breaking changes, dependency graphs and reproducible builds. - A maintainer mindset: you catch drift, improve patterns for the next contributor and consider the effect of a change across many downstream consumers. - Familiarity with GitHub-heavy open-source workflows, including pull requests, review, release tracking and upstream contribution. - Comfort using AI-assisted engineering critically while retaining ownership of security assertions, test evidence and release quality. - A strong operational mindset and clear written and spoken communication suited to a remote, async-first company. HELPFUL, BUT NOT REQUIRED - Experience as a maintainer for Alpine, Debian, Fedora, Wolfi, Homebrew or another package ecosystem. - Helm chart authorship or meaningful contribution to an upstream chart. - Experience with SBOMs, VEX, SLSA, Sigstore, cosign, provenance or artefact signing. - Experience with apk, deb, rpm, Go modules, Maven or Gradle, npm, pip, Cargo or other dependency ecosystems. - Experience building automation for package, image or chart creation, validation and release. - Experience with FIPS, FedRAMP, PCI or other regulated and security-conscious environments. WHAT TO EXPECT FIRST 30 DAYS - Build context on the DHI catalogue, its package, image and chart definitions, the DHI Factory and the team's definition of done. - Pair across both image and Helm chart work and ship a useful production change. - Learn the build, test, signing, publishing and vulnerability-remediation workflows. - Take part in reviews and an incident, escalation or failed-build learning session. FIRST 90 DAYS - Own a complex image and chart addition or update from upstream analysis through release. - Resolve a meaningful CVE, dependency or compatibility problem with clear evidence and customer impact in mind. - Improve at least one factory control, integration test, validator or reusable content pattern. - Review across artefact types and help another engineer take on a broader piece of work. ONE YEAR OUTLOOK (FIRST YEAR) - Be a trusted senior owner across hardened packages, images and Helm charts. - Deliver material catalogue growth or quality improvements without increasing human effort linearly with demand. - Reduce recurring manual work by moving a class of changes into a proven automated path. - Improve DHI's security posture, content availability and release reliability for customers. - Raise review quality and grow the team's ability to work across artefact and dependency ecosystems. Docker considers visa sponsorship on a case-by-case basis based on business needs. Compensation & Equity Canada: CA$210,627 – CA$341,690 + equity United States: $154,600 – $250,800 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Australia About Intellect At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Australia. We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle. Why Join Us? Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect Competitive compensation & attractive perks Minimal admin burden — we handle scheduling, billing, client matching Regular supervision & CPD included Diverse client base — from local employees to regional/global Fortune 500 companies Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership Inclusive and diverse environment — we welcome professionals from all backgrounds and are committed to fostering belonging and representation across our global community What You’ll Do Provide 1:1 telehealth and/or onsite coaching, counselling, or therapy-style consultations, offering general advice only (not treatment) Deliver CISP (Critical Incident Stress Programme) virtually or onsite as needed Facilitate webinars and in-person seminars (optional) Support employees with wellbeing, stress, and resilience Collaborate with Intellect’s internal clinical team to improve EAP programs Requirements Counsellors: Master’s in Counselling, Counselling Psychology Active membership/registration with one of: ACA (Australian Counselling Association) PACFA (Psychotherapy & Counselling Federation of Australia) 1–3 years of supervised counselling experience Clinical Psychologists: Master’s in Clinical Psychology from an APAC-accredited program General registration with AHPRA (Psychology Board of Australia) Area of Practice Endorsement in Clinical Psychology preferred (or in progress via Registrar Program) 1–3 years of supervised clinical practice Nice to Haves Experience working with Tongan communities or Pacific Islander communities in Australia Background in managerial or leadership support (e.g., coaching managers, HR advisory) Prior EAP or workplace counselling experience Additional languages Flexibility for occasional onsite sessions Willingness for Police Check and/or Working With Children Check (not mandatory, only if requested by some clients) Eligibility/willingness to obtain a Medicare provider number (not mandatory, only if required by engagement type) Let’s Talk This is more than a job. It’s your chance to: Work with a global provider network Broaden your clientele base beyond local users Grow your career outside of sessions through research, content, and webinars Access supervision & CE most EAPs don’t provide If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you.  Apply today and join Intellect in transforming workplace mental health across the country and beyond.

Location: San Francisco; Remote; Toronto; New York; Montreal Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Site Reliability Engineer at Baseten, you'll define and codify the gold standards of day 2 operations for our ML infrastructure platform. You'll envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale — and that empower the broader organization to operate confidently. You'll work closely with engineering, forward-deployed and product teams: learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company. EXAMPLE INITIATIVES You'll work on projects like these as part of the SRE team: - Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services. - Building AI-assisted tooling for incident triage and response. RESPONSIBILITIES - Own the reliability of Baseten's multi-cloud Kubernetes infrastructure, including incident response, post-mortems, and remediation tracking. - Build and maintain observability infrastructure — metrics, logging, dashboards, and alerting — as code. - Author, validate, and improve runbooks for recurring failure patterns, ensuring they're structured for low-context, safe execution. - Identify high-frequency failure patterns and convert them into automated mitigations or self-healing automations. - Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concurrency, and model lifecycle management. - Define and instrument SLOs and SLIs across customer workloads and internal services. - Navigate ambiguity, make principled tradeoffs, and avoid unnecessary complexity in the systems you build and the processes you define. REQUIREMENTS - Extensive hands-on experience with Kubernetes (multi-cloud experience across EKS, GKE, or similar is a strong plus). - Experience in building and maintaining scalable infrastructure. - Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines. Observability-as-code experience is a plus. - Experience with infrastructure-as-code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD). - Experience writing and improving runbooks, leading incident response, and doing post-mortem analysis. - Comfort working at the intersection of engineering and operations — you write code, but you also think deeply about process, escalation paths, and operational leverage. - Familiarity with incident management platforms (incident.io http://incident.io or similar) is a plus. - No prior ML experience required, but curiosity about how ML models are deployed and served at scale will serve you well. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: United States, Los Angeles, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. SIE Studio IT is seeking a Lead Systems Engineer to lead the design, operation, and evolution of our production infrastructure and data center platforms. This role provides technical direction for the Systems Administration team and serves as the senior engineering authority for Linux systems, enterprise server hardware, virtualization, storage, and high-availability infrastructure. Responsibilities Lead the design, deployment, and operational support of Linux and Windows platforms in a production environment. Architect and support enterprise server hardware, including platform selection, RAID configuration, firmware lifecycle management, hardware diagnostics, and performance troubleshooting. Lead the design, deployment, and operation of enterprise and distributed storage platforms, including technologies such as Ceph, NFS-based NAS, and SAN architectures. Design and maintain high‑availability and load‑balanced systems, including clustered servers. Define and own the monitoring, alerting, and observability strategy for infrastructure platforms including storage, virtualization, servers, and operating systems. Partner with vendors and internal teams on hardware selection and lifecycle planning. Establish technical standards, patterns, and documentation that can be executed by the Systems Administration team. Review designs, changes, and implementations performed by Systems Administrators to ensure quality, consistency, and reliability. Act as the technical lead during infrastructure incidents, driving restoration efforts and post-incident review actions. Ensure infrastructure designs align with security standards and requirements. Requirements Bachelor’s degree or equivalent. Strong Linux and Windows administration and engineering experience in enterprise or production environments. Strong hands-on experience with enterprise server hardware, including troubleshooting, lifecycle planning, and firmware management. Strong experience with enterprise storage and distributed storage systems; Ceph experience strongly preferred. Strong experience architecting and administering Windows and Linux server platforms in enterprise or production environments. Strong understanding of how storage, compute, and virtualization interact in performance‑sensitive production environments. Strong scripting and automation skills, preferably Python and/or PowerShell. Proficiency with Active Directory, DNS, and DHCP; Infoblox experience is a plus. Experience designing or overseeing monitoring, alerting, and observability solutions, including dashboarding platforms such as Grafana or equivalent tools. Ability to lead and mentor Systems Administrators. 5+ years of relevant enterprise IT experience in a senior or lead infrastructure role. Available to work varying hours, on-call shifts, including evenings, weekends, and holidays as required. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $155,900 — $233,900 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco Bay Area, USA Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ROLE OVERVIEW Higgsfield AI is looking for a hands-on Member of Technical Staff, Infrastructure Security to build, secure, and operate the systems that protect our corporate infrastructure, employee devices, identities, and applications. As we scale globally, you'll own the technical implementation of security controls across identity and access management, endpoint security, SaaS applications, and corporate networks. Working closely with IT, Security, and Engineering, you'll identify vulnerabilities, implement practical solutions, and automate security operations. This is a highly technical, hands-on role where you'll personally configure, troubleshoot, and maintain critical security systems rather than primarily managing vendors or directing other teams. We're looking for a well-rounded security engineer with strong technical judgment who can prioritize risks, move quickly, and build scalable security solutions without creating unnecessary friction. WHAT YOU'LL DO IDENTITY & ACCESS SECURITY - Design, implement, and maintain identity and access controls across Microsoft Entra ID and corporate applications. - Configure and manage SSO/SAML, SCIM provisioning, MFA, Conditional Access, and role-based access controls (RBAC). - Secure and automate employee joiner, mover, and leaver (JML) workflows. - Implement least-privilege access and strengthen authentication and authorization practices. ENDPOINT & CORPORATE APPLICATION SECURITY - Own endpoint security controls across corporate devices, including Microsoft Intune/MDM, device compliance, and endpoint detection and response (EDR). - Secure SaaS applications through access management, permissions, provisioning, and configuration reviews. - Design and implement Zero Trust access controls based on user identity, device posture, and least-privilege principles. - Identify and remediate security gaps across corporate systems and applications. SECURITY AUTOMATION & INCIDENT RESPONSE - Build scripts, API integrations, and automated workflows to improve security operations and reduce manual processes. - Develop and maintain security monitoring, alerting, and detection capabilities. - Investigate compromised accounts, suspicious activity, and endpoint security incidents, driving containment and remediation. - Troubleshoot security infrastructure issues and continuously improve technical controls. TECHNICAL OWNERSHIP & SECURITY ENGINEERING - Identify and prioritize corporate security risks, balancing security requirements with business and operational needs. - Lead technical security initiatives from design and implementation through ongoing operations. - Partner with IT and Engineering to establish scalable security standards and practical guardrails. - Evaluate and implement security tooling while maintaining direct ownership of configuration and operations. WHAT WE'RE LOOKING FOR - 5+ years of hands-on experience in corporate security engineering, IT security, or enterprise security infrastructure, ideally in a high-growth technology environment. - Proven experience personally implementing, configuring, troubleshooting, and operating corporate security systems. - Strong experience with Microsoft Entra ID, SSO/SAML, SCIM, MFA, Conditional Access, and identity lifecycle management. - Hands-on experience with endpoint management and security tools, including Intune/MDM, device compliance, and EDR. - Experience securing SaaS applications, managing permissions, and implementing Zero Trust access principles. - Proficiency in scripting and automation using Python, JavaScript, PowerShell, or similar languages, including API integrations. - Familiarity with security monitoring, incident investigation, and remediation of compromised accounts or devices. - Strong security judgment and the ability to independently identify, prioritize, and resolve high-impact risks. - Broad technical expertise across corporate security infrastructure rather than specialization in a single area such as IAM, SOC, or endpoint management. COMPENSATION & BENEFITS • We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. • Base Salary: The anticipated salary range for this role is $200,000 - $300,000, depending on experience, skills, scope, and location. • Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. • • Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally • The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. • Significant ownership, direct impact, and opportunities for professional growth as the company scales.   This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: Abidjan, Côte d'Ivoire About Intellect At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Africa. We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle. We're seeking to partner with Clinical Psychologists, and Counsellors to be part of a community working collaboratively to bring greater mental health access to the public to provide mental health coaching. Why Join Us? Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect Competitive compensation & attractive perks Minimal admin burden — we handle scheduling, billing, client matching Regular supervision & CPD included Diverse client base — from local employees to regional/global Fortune 500 companies Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership You will be a practitioner on our telehealth platform 'Intellect', where your role is to support our clients' mental health and personal growth based on the individual needs and goals. This is delivered primarily through scheduled 60-minute video sessions on our platform. This is a freelance remote role with the flexibility to decide your business hours. Local candidates are preferred but others can still be considered. This role is a great opportunity to supplement your current job or private practice. What You'll Do Provide 1-on-1 telehealth professional or mental health coaching for Intellect’s clients Focus on sub-clinical cases such as work stress, procrastination, work-life balance etc. Support your clients in setting up either person or career goals, relationships, etc Collaboratively work with the internal clinical team by suggesting improvements to the program and the platform. Requirements Requirements Has a Master / Postgraduate Diploma training in Clinican Psychology OR Counselling. Skilled in coaching techniques and/or evidence-based approaches (e.g. Cognitive Behavioural Therapy, Motivational Interviewing, DBT, SFBT, etc.) Counsellors must have at least 300 clinical hours post graduation Candidate must be proficient in English and local language Candidates with prior experience in EAP, counselling working adults or coaching managerial roles are prioritised.

Location: United Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; Lithuania; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken is building a dedicated AI Compute and Infrastructure team to power the next generation of model training, inference, evaluation, and experimentation across the exchange. This team sits within engineering leadership and owns the infrastructure layer that lets Kraken run AI workloads with control, speed, reliability, and cost discipline. The team is responsible for GPU and accelerator infrastructure, cluster operations, scheduling, model serving, observability, capacity planning, and cost-efficient compute at scale. This is the backbone that allows Kraken to train, serve, evaluate, and iterate on AI systems in-house where it matters for privacy, latency, reliability, cost, or product differentiation. You will join a small, senior, high-impact team working directly with AI/ML researchers, platform engineers, security teams, and product teams. The mandate is simple: make Kraken's AI ambitions real by building compute infrastructure that is fast, dependable, efficient, and production-grade.   THE OPPORTUNITY - Own and operate GPU and accelerator clusters used for training, inference, evaluation, and experimentation, including drivers, runtimes, kernels, device plugins, node configuration, scheduling primitives, and workload isolation. - Design infrastructure that enables Kraken teams to run models locally on GPUs where it is strategically and economically preferable, reducing unnecessary dependency on external providers and containing compute costs. - Build and improve scheduling, orchestration, placement, quota management, and utilization systems across heterogeneous accelerator environments. - Optimize inference pipelines for latency, throughput, reliability, memory efficiency, and cost using frameworks such as vLLM, Triton Inference Server, TensorRT, or equivalent serving stacks. - Partner with ML engineers and researchers to remove bottlenecks in training, evaluation, batch inference, online inference, deployment, and production debugging workflows. - Build observability for GPU utilization, memory pressure, queue depth, saturation, token throughput, request latency, failed workloads, capacity pressure, and spend. - Drive reliability, incident response, alerting, runbooks, and post-incident improvements for always-on AI compute infrastructure. - Evaluate and integrate new hardware, cloud instance families, specialized accelerators, runtimes, schedulers, and serving frameworks as the AI infrastructure landscape evolves. - Build tooling that makes GPU usage visible, accountable, and easier for internal teams to consume without needing to become infrastructure experts. - Contribute to long-term architecture decisions that balance performance, cost efficiency, scalability, operational simplicity, and production safety.   WHAT YOU BRING - 5+ years of infrastructure engineering experience, with significant time spent on GPU compute, ML infrastructure, distributed systems, high-performance computing, or large-scale production platforms. - Hands-on experience operating GPU clusters or accelerator-backed infrastructure in production or production-like environments, including scheduling, orchestration, utilization monitoring, and cost optimization. - Strong systems engineering fundamentals across Linux, networking, storage, containers, Kubernetes, distributed runtimes, and production debugging. - Experience with ML serving frameworks such as vLLM, Triton Inference Server, TensorRT, TorchServe, KServe, Ray Serve, or equivalent systems. - Proficiency in Python for infrastructure automation, tooling, debugging, integration, and operational workflows. - Practical understanding of performance tradeoffs across batching, concurrency, memory usage, GPU utilization, model size, latency, throughput, availability, and cost. - Track record of optimizing compute costs while maintaining clear performance, reliability, and availability expectations. - Experience building observable systems with useful metrics, logs, traces, dashboards, alerts, and incident workflows. - Comfortable working in high-stakes, always-on environments where uptime, throughput, correctness, and operational discipline are critical. - Clear communicator who can translate infrastructure tradeoffs for researchers, product teams, platform engineers, security stakeholders, and engineering leadership.   NICE TO HAVES - Experience at a frontier AI lab, hyperscaler, high-frequency trading firm, research platform, or high-scale ML organization. - Familiarity with custom silicon or specialized accelerators such as TPUs, AWS Trainium, Gaudi, or similar platforms. - Background in capacity planning, procurement input, reserved capacity strategy, cloud accelerator economics, or GPU fleet cost management. - Experience with distributed training frameworks such as DeepSpeed, Megatron-LM, FSDP, Ray, or equivalent systems. - Experience debugging CUDA, NCCL, kernel, driver, runtime, memory, networking, or low-level performance issues. - Experience with Rust, C++, Go, CUDA, or other systems languages used for performance-critical infrastructure. - Crypto, financial services, trading infrastructure, or security-sensitive production infrastructure experience. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major cloud providers and from datacenters custom-built for Anthropic, stand up and scale the clusters behind one of the industry's largest AI compute fleets, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic's frontier AI research. Key responsibilities Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational excellence practices (incident response, postmortem culture, on-call) Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium) Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 7+ years of software engineering experience, including time as a technical lead setting direction for a team Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads. Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems 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: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK 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 We run one of the industry's largest AI compute fleets, spanning multiple cloud providers and datacenters, to train, research, and serve frontier AI models. Those fleets run on Kubernetes, and the Kubernetes Platform team owns the control plane that makes them work. We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure. We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow. Key responsibilities Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on Build and maintain custom controllers, operators, and CRDs Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities Collaborate with cloud providers on required features and escalations Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures Minimum qualifications Significant software engineering experience building and operating production distributed systems Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++) Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on Strong written and verbal communication; comfort building consensus with internal stakeholders Preferred qualifications Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents) Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments) Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF 12+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects 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: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning Partner across teams to ensure new compute capacity is ingested on time Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity Collaborate with security owners to ensure clusters are provisioned secure-by-default Define and drive strategy on cluster scalability, homogeneity and fault tolerance Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 10+ years of software engineering experience, including time as a technical lead setting direction for a team Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS) Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems 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: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol; Nicosia Workplace: hybrid The Role:  We are seeking a motivated and curious Junior Corporate Services Systems Engineer to join our Systems Engineering team. In this role, you will play a key part in the day-to-day maintenance, administration, and support of our cloud systems and services.  This is an excellent opportunity for someone eager to kickstart their career in IT operations, gain hands-on experience with modern cloud infrastructure, and learn from experienced engineers in a collaborative environment. The main responsibilities of the position include: Manage and administer multi-cloud subscriptions (PaaS/SaaS) across Microsoft Azure and other providers, overseeing implementation, capacity planning, and performance monitoring. Resolve complex technical issues by providing Level 2 and Level 3 troubleshooting, incident management, and service-level tracking. Oversee the Microsoft Entra ID (Azure AD) environment , including Conditional Access, identity protection, group management, and Single Sign-On (SSO) integrations. Manage Microsoft 365 Enterprise products (SharePoint, Teams, compliance tools) and administer Intune MDM for Windows, Mac, iOS, and Android endpoints. Enforce role-based access controls (RBAC) by maintaining the Enterprise Access Control Matrix. Partner with Information Security to research and deploy system hardening solutions, conduct routine security audits, and identify vulnerabilities. Deploy automated patch management solutions for Microsoft and third-party software, including executing emergency patching procedures. Liaise with external partners and cross-functional teams to design, deliver, and document new IT solutions that support business growth. Mentor and train the IT Service Desk team , creating detailed documentation and work instructions to elevate overall support quality. Main requirements: BSc/MSc in Information Technology or any other relevant degree At least 2 years of ex perience in a Systems Administration or relevant position Strong team player, good communications skills Strong analytical and troubleshooting skills Ability to cope with stress and meet deadlines Ability to multitask and prioritise Problem solving and critical thinking skills Self-motivated, proactive and efficient Deep understanding of the following: Security Hardening & Patch Management Cloud Systems Management: Azure Mobile Device Management (MDM) Windows & MacOS Microsoft 365 Products Scripting Skills Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.