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Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic's compute infrastructure running efficiently at scale. Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams. The exact focus will depend on your strengths and the team's evolving needs. You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment. Responsibilities: Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity You may be a good fit if you: Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements Have experience working with research or ML teams and translating their needs into operational plans and technical requirements Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership Have a track record of building trust with engineering teams and driving changes through influence rather than authority Strong candidates may also have: Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers) Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments Deadline to Apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dhahran, Saudi Arabia; Bengaluru, India Eram Talent is seeking a Computing & Cloud Architect to join our innovative team in Saudi Arabia. The successful candidate will be responsible for designing and deploying cutting-edge cloud computing solutions that meet the needs of our clients in a rapidly evolving technological landscape. This role combines deep technical knowledge with strategic insight, allowing you to develop tailored cloud architectures that take advantage of the best cloud services available. You will work closely with cross-functional teams to integrate solutions, promote cloud adoption, and drive digital transformation initiatives. Key Responsibilities: Own the enterprise architecture for computing platforms across on-prem, private cloud, public cloud, and HPC/AI infrastructure. Define target reference architectures, standards, and roadmaps, and provide architectural assurance for major programs and solutions. Develop and implement cloud strategies that support the organization’s short and long-term goals, ensuring high availability, performance, and security. Provide leadership and guidance in cloud technology best practices, promoting a culture of innovation within the organization. Integrate existing systems with cloud-based solutions, ensuring interoperability and data consistency across all platforms. Collaborate with software engineering teams to define cloud architecture for new applications and features. Evaluate new cloud services and technology trends, making recommendations to enhance functionality or efficiency. Monitor and analyze cloud performance metrics, adjusting architectures to optimize costs and performance. Requirements Education: Bachelor’s degree in Computer Science, Information Technology, or a related field; a Master’s degree is a plus. Experience: 15+ years of experience in IT, with at least 5 years focused on cloud computing architectures. Hands-on experience with major cloud platforms such as AWS, Azure, or Google Cloud. Solid understanding of cloud services (IaaS, PaaS, SaaS) and technologies such as containers (Docker, Kubernetes). Experience in cloud migration projects and managing hybrid cloud environments. Certifications: Cloud certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Cloud Professional) are preferred. Skills: Strong problem-solving and analytical skills with a focus on scalable cloud solutions. Excellent communication and collaboration skills, capable of conveying technical concepts to non-technical stakeholders. Ability to thrive in a fast-paced environment and adapt to changing business needs.

Location: London, United Kingdom Workplace: hybrid At FutureLearn, we’re passionate about the power of lifelong learning. We help learners from all over the world progress in their careers and invest in their futures. We truly believe that up-skilling is a worthy investment, and we hope to empower our learners to take control of their careers through personalised learning pathways – giving them progress at their fingertips. Partnering with 260+ world-class educational partners, including prestigious universities, global brands and industry partners, we offer our 20 million-strong learner community the opportunity to discover and access flexible, high-quality online courses and degrees. We’re not here just to teach new skills (although we do that well), we want to help transform lives. FutureLearn is looking to build our teams with people who share our passion for lifelong learning, career empowerment and education for all. If that sounds like you, get in touch. You could help us achieve our biggest goal yet – becoming the world’s best AI-powered, career-based learning platform and OPM. What is the opportunity? We are seeking a knowledgeable and forward thinking Associate Lecturer in Computing to join our Higher Education Services team. This role focuses on delivering high quality teaching and learning across designated programmes, with particular expertise in Cyber Security and/or Artificial Intelligence. The successful candidate will design and deliver engaging learning materials, facilitate dynamic online learning experiences, support student success, and contribute to academic quality and innovation. There may also be opportunities to contribute as a Subject Matter Expert in developing and reviewing module content. What does success look like: Teaching and Learning Delivery Design, prepare, and deliver high-quality teaching materials across assigned computing programmes. Ensure all content, delivery methods, and learning resources align with programme and module objectives. Apply effective teaching, learning, and assessment strategies in line with institutional standards. Demonstrate strong digital capability and deliver engaging online learning experiences. Assessment and Feedback Set, mark, and provide constructive, timely feedback on assessments in accordance with institutional and partner policies. Supervise student projects and dissertations, providing academic and research guidance in Cyber Security and/or AI. Monitor student progress using learner analytics and implement timely interventions to support achievement. Learner Support and Engagement Identify and respond to individual learner needs, referring students to appropriate support services when necessary. Promote an inclusive, engaging, and supportive online learning environment. Quality Assurance and Academic Standards Contribute to internal quality assurance and enhancement activities. Participate in the planning and review of modules to ensure alignment with institutional frameworks and academic standards. Maintain accurate records of teaching delivery, student engagement, and academic outcomes. Professional Participation Attend and actively contribute to relevant meetings, workshops, and training sessions. Complete all mandatory institutional training within the first three months of appointment. Subject Matter Expert Responsibilities (where applicable) Develop new module content in Cyber Security and/or AI in line with academic and institutional standards. Review and update existing module materials as required. What you bring to the table: A PhD, Master’s degree, or substantial industry experience in a relevant computing discipline. Experience teaching and learning within the UK Higher Education sector. Proven subject-specific teaching experience in Cyber Security and/or Artificial Intelligence. Eligibility for Fellowship of AdvanceHE (or willingness to obtain). Strong teamwork, communication, and digital teaching skills. A clear commitment to student success and engagement. Desirable Experience delivering online teaching and learning. Experience supervising research projects or dissertations in computing-related fields. Relevant industry or professional experience in Cyber Security and/or AI. What happens next? Ready to go for it? Click 'Apply', include your CV and tell us why you'd like to become a FutureLearner, and how you’ll nail this role. Recruitment Process Please contact jobs@futurelearn.com if you require any reasonable adjustments or alterations to be made to support you through the recruitment process. Diversity Statement We value all the great benefits that diversity brings and encourage everyone to bring their whole self to work – At FutureLearn we are proud to have Diversity and Inclusion at the centre of everything we do. We are committed to Equal Employment Opportunity regardless of race, colour, national origin, ethnicity, gender, age, disability, sexual orientation, gender identity or religion. We can't wait to meet you! #FutureLearnCareers

Location: Riyadh, Saudi Arabia Join Müller's Solutions as an AI / Computer Vision Engineer and be part of a dynamic team that is transforming industries through advanced technology. In this role, you will design, develop, and implement computer vision and AI models that address complex challenges and drive innovation in our products and services. Key Responsibilities: Develop and deploy state-of-the-art computer vision algorithms for various applications. Collaborate with product teams to understand requirements and translate them into technical specifications. Analyze large datasets to extract insights and improve model performance. Test and validate AI solutions to ensure high accuracy and reliability. Participate in code reviews and contribute to best practices in software development. Keep abreast of the latest advancements in AI and computer vision and integrate relevant technologies into existing systems. Research and present findings on new methodologies and approaches in the field. Requirements Qualifications: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. Proven experience in AI and computer vision technologies, including deep learning frameworks (e.g., TensorFlow, PyTorch). Strong programming skills in Python and familiarity with OpenCV. Experience with data handling, preprocessing, and training machine learning models. Solid understanding of algorithms and data structures. Familiarity with cloud computing platforms and tools. Exceptional problem-solving skills and the ability to work in a collaborative environment. Strong communication skills to effectively convey complex ideas to both technical and non-technical stakeholders. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Riyad, Saudi Arabia As an AI / Computer Vision Engineer at Müller's Solutions, you will have the opportunity to work on cutting-edge projects that leverage artificial intelligence and computer vision technologies. You will collaborate with cross-functional teams to develop innovative solutions that solve complex business challenges using AI and computer vision algorithms and techniques. Responsibilities: Design and develop AI and computer vision solutions for various industries and use cases. Implement and optimize computer vision algorithms for object detection, image recognition, and image segmentation. Train and fine-tune machine learning models using large datasets. Collect and preprocess data for training and validation purposes. Integrate AI and computer vision solutions into existing systems and platforms. Perform testing and debugging of AI and computer vision models and systems. Stay current with the latest advancements in AI and computer vision technologies. Building Computer Vision AI models including all pre-processing and post- processing Ownership of the Entire Solution Daily Updates Knowledge sharing Requirements Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience in AI and computer vision development. HANDS ON PYTHON AND DATABASES( SQL AND NOSQL), Open CV COMFORTABLE WITH LINUX Experience with data preprocessing and data augmentation techniques. Knowledge of software development practices and version control systems. Excellent problem-solving and analytical skills. Ability to work independently and in a team environment. Good communication and collaboration skills.

Location: Office Based - Beijing, China Role Summary Canonical's OEM Delivery Team works with tier-one OEM, IHV, and ODM customers to pre-load Ubuntu Classic, Ubuntu Core, and bring Ubuntu directly to millions of users. You will have the opportunity to enable cutting edge technology with world leading partners, and become the first contributor to the innovation. As a Software Engineer, you will be responsible for technical aspects of ensuring that Ubuntu functions well on systems. This fast-paced environment requires strong debugging, critical thinking and problem-solving skills, and deep knowledge of the Linux system. You will cooperate with the best developers in the open source communities to deliver the best user experience. Key Responsibilities Work closely with project managers and Field/QA engineers to identify, triage, and fix critical system-level problems; Work with individual upstream projects to find and apply patches for bugs affecting OEM/ODM customers; champion locally-developed patches for inclusion in the upstream package; Provide software and system engineering services for OEM and ODM customers; International travel is occasionally required. Must be able to travel to the EU, USA, China, and Taiwan; Required Skills And Experience Participation in open-source development projects; Passion on Linux and Open Source projects; Strong English-language communication skills, especially in online environments such as mailing lists and IRC; Excellent and proven time-management skills; Ability to be productive in a globally-distributed team through self-discipline and self-motivation; Desirable Skills And Experience Demonstrated open source participation and contributions; Fluency in written and spoken Mandarin Chinese; Canonical is an equal opportunity employer Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world’s computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Remote - US Founded in 2012, Bugcrowd is the preemptive security platform that unifies exposure discovery and assessment, offensive testing, and intelligence shaped by AI and human insight to help organizations avoid, discover, and validate real-world risk. Bugcrowd helps security teams move faster by identifying the exposures that matter most so they can act first and stay ahead of attackers. By combining the power of humans and AI, teams can preempt attack paths and prevent breaches. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Visit www.bugcrowd.com . This is a seasoned engineer role in which you lead technical efforts across multiple teams or subsystems, owning system architecture and development across the stack. A Senior Software Engineer drives technical innovation, acts as a mentor and process advocate, driving improvements that scale beyond a single team. You will exercise high discretion over technical decisions and influence department-level business outcomes. You will set the architectural direction for the systems you own, make and document the key design tradeoffs, and provide strong leadership within and across scrum teams to deliver on that vision. Essential Duties and Responsibilities Proactively research, prototype, and introduce technologies and  system designs for green-field products. Lead the design of new systems and major changes to existing ones: write design docs, evaluate alternatives, and document tradeoffs and decisions (e.g., ADRs) Primary IC for green-field product, ensuring long-term code maintainability, readability, and extensibility. Continuously evolve team processes, driving scalable improvements in delivery, quality, and collaboration. API & Integration Design, develop, and maintain scalable and secure APIs, UIs and integration services. Implement RESTful, RPC, and event-driven APIs/UIs for internal and external systems. Collaborate with product, data, and platform teams to ensure seamless system interoperability. Manage API lifecycle including versioning, authentication, monitoring, and performance optimization. Develop and maintain integration pipelines between SaaS systems, data sources, and third-party applications. Troubleshoot integration issues, conduct root cause analysis, and implement fixes. Support continuous improvement through automation, observability, and best practices. Education, Experience, Knowledge, Skills, and Abilities 5+ years of experience of software development experience Strong proficiency in TypeScript and modern JavaScript. Extensive experience with React and JavaScript web development frameworks (Next.js preferred) Experience with ORM frameworks and relational databases, including data modeling and provenance tracking patterns (Prisma, Drizzle, PostgreSQL) Experience building long-running, fault-tolerant workflows with durable execution engines (Inngest, Temporal, or similar) Hands-on experience integrating state-of-the-art LLMs into production systems, including agent design, tool use, and evaluation Strong understanding of integration patterns, and experiencing building external API integrations (pub/sub, webhook, ETL, etc.). Excellent debugging, analytical, and problem-solving skills. Preferred Experience Bachelor’s degree in Computer Science, Software Engineering, or related field. Working Conditions and Physical Requirements The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation. Sitting and / or standing - Must be able to remain in a stationary position 50% of the time Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day. Environment - remote, work-from-home 100% of the time with travel to client sites Pay Range Disclosure At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business. The national estimate for the current base range for the position of Senior Full Stack Engineer is: $140,400 - $175,500. This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Culture At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work. We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well. Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point. At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring. Disclaimer This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence. The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets). Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law. Any personal data you submit in connection with your application will be processed in compliance with Bugcrowd's Privacy Policy, which you may review here: https://www.bugcrowd.com/privacy . Equal Employment Opportunity: Bugcrowd is EOE, Disability/Age Employer. Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com. Apply at: https://www.bugcrowd.com/about/careers/

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position This project will provide a broad range of assessment, monitoring, and evaluation (AM&E) support to DSCA. Project tasks will include desk and field research, analysis, data collection and visualization, strategy development, policy writing and coordination, and AM&E capacity building. *This role is remotely based in the continental United States and requires travel in accordance with the guidelines below. Responsibilities AM&E Analyst will support DSCA in in carrying out analyses that stay up to date with emerging AM&E techniques, tools, and approaches in specific subject matter. Provide day-to-day research, analysis, and program support services. Conduct field evaluations. Provide technical and strategic guidance on AM&E. Manage AM&E projects and tasks. Travel up to 25-50% domestically and internationally as determined by client and portfolio requirements and demands on regional team, while adhering to approved budget, cost reasonableness requirements, and all applicable corporate and federal travel regulations. Qualifications Bachelor’s degree; Three (3) years of AM&E experience, including analyzing and summarizing disparate information in a clear and concise manner, drafting data collection methodologies, creating organizational work plans based on higher-level goals, leading and coordinating multiple offices through multiple step processes without being a direct supervisor, and supporting staff with a variety of levels of knowledge and capabilities; Strong oral and written communication skills to deal effectively with mid and high level partner contacts, the host government, and local communities; Ability to apply government agency regulations and procedures related to controlled unclassified information and foreign disclosure to daily work requirements; Excellent computer skills, including word processing, spreadsheet programs and data base management; Five (5) years of AM&E or capability-based-assessment (CBA) or other types of experience in one or more of the following subject matters: counterterrorism operations; Counter-weapons of mass destruction operations; counter-illicit drug trafficking operations and counter-transnational organized crime operations; maritime and border security operations; military intelligence operations and Operations or activities that contribute to an international coalition operation that is determined by the Secretary to be in the national interest of the United States; air domain awareness operations; cyberspace security and defensive cyberspace operations; humanitarian assistance and demining; smallscale construction associated with any of the above mission areas; Security Sector Governance (both across each of the above program areas as well as through distinct programs focused solely on Security-related institutions that span these broad program areas); DoD Secret clearance. Preferred Qualifications Five (5) years of experience and knowledge of public policy and operations, Five (5) years of experience planning, designing and implementing assessment, monitoring and evaluation programs or projects in the security sector for a national organization, an NGO/IGO, the UN, or private industry; Master’s degree (or higher) and formal training or education in the field of assessment, monitoring, and evaluation; One to three (1-3) years of experience planning, executing, or overseeing policy or guidance for SC activities implemented under sections 332, 333, 1263, 342, 345, 401, or 2561 of Title 10, Chapter 16 Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $80,000 — $100,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. As a member of the Teleport Customer Solutions Team, you will own the full post-sales lifecycle for a portfolio of strategic customers: implementation, technical support, ongoing business reviews, and identifying expansion opportunities. You will be responsible for implementing, supporting, evangelizing, and expanding Teleport at our top customers, and dedicated to proactively driving adoption so that they achieve the maximum value from all Teleport products and solutions. This is a deeply technical role. Many of our customers run Teleport on Kubernetes, and you will be expected to operate comfortably at the cluster level: designing and deploying Teleport in customer environments, troubleshooting failing workloads, and debugging access, networking, and certificate issues alongside customer engineers. You will work directly with customers to design solution architecture, deploy and configure Teleport hands-on, share implementation best practices, triage and debug technical issues, develop and maintain training programs, evangelize the solution to a wider customer organization, and plan and assist with enterprise-wide rollouts. You will act as a customer champion within Teleport and help prioritize product feedback by working with the Product team. As a Senior Customer Success Engineer, you will be the primary lead for identifying and providing initial triage of technical blockers via shared chat, ticket, and meetings. As our company grows and we launch new offerings, the requirements of this position may shift. You should be comfortable with change and have an interest in continually learning and advancing your skillset. What you’ll bring - Deep, hands-on Kubernetes experience. You have built clusters with kubeadm (not just managed services), configured RBAC and certificate-based user access, and debugged failing workloads, networking, and control-plane issues. CKA certification is strongly preferred; CKAD is a plus. - Experience with cert-manager and TLS certificate management, Helm, and GitOps tooling (ArgoCD or Flux) - Demonstrable experience with the following security principles and technologies: SSH, PKI, 2FA, SSO (SAML, OIDC), and RBAC - Linux administration skills - Hands-on experience with one of the major public cloud providers: AWS, GCP, or Azure (certifications are a plus) - 8+ years of experience in customer-facing software onboarding, software services, solution architecting, or system administration roles - Exceptional hands-on troubleshooting, testing, and debugging skills, with the tenacity to identify and resolve technical issues as they arise - Outstanding soft skills and excellent verbal and written communication - Project management experience and the ability to handle multiple clients simultaneously What you’ll be doing - Design solution architecture for Teleport in customer environments - Deploy and configure Teleport in customer environments, including Kubernetes-based deployments, and communicate implementation best practices to the customer - Act as the point person for technical issues, troubleshooting Kubernetes-based customer environments (cluster, networking, certificate, and access issues) and escalating high-complexity cases to Engineering - Work closely with Sales and Product to identify customer needs tied to tangible upsell and cross-sell opportunities - Plan and deliver Quarterly Business Reviews for customers, drive adoption within the customer organization, and plan and assist with enterprise-wide rollouts of Teleport - Develop, maintain, and deliver customized training, and evangelize the solution to a wider customer organization - Maintain strong working relationships with key client stakeholders and expand those relationships into other parts of the organization - Document each customer’s business goals and challenges to align Teleport with the most value possible - Serve as a subject matter expert on existing and upcoming Teleport solutions for customers and teammates, staying up to date on the latest releases - Collaborate with Sales and Product to provide valuable feedback for product improvement - Support our broader customer base seeking new solutions and best practice recommendations Our interview process Our interview process includes a hands-on technical assessment. You will build a kubeadm Kubernetes cluster, configure RBAC with certificate-based user access, deploy an application, present your design and its tradeoffs, and work through live Kubernetes troubleshooting scenarios. Candidates should be comfortable operating Kubernetes at this level without relying on managed-service abstractions. You are welcome to use AI tools for the take-home portion, with full disclosure of how they were used. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Director, Legal - Global Privacy & Data Counsel San Mateo, CA | Hybrid - 2+ days per week in our San Mateo office Full relocation assistance available for qualified candidates Role Summary: Leading SIE’s Global Legal Privacy program, you will play a pivotal role in shaping and advancing this function, which is central to our mission as a data-driven technology and entertainment company. You will develop, implement, and maintain comprehensive privacy policies, procedures, and practices that reflect industry best practices, comply with applicable data protection laws and regulations, and support SIE’s business objectives. Working collaboratively with teams around the world, you will help embed strong data privacy stewardship across the organization through your leadership, passion, and expertise. What You’ll Be Doing: Lead the Privacy Team: Lead a team of professionals spanning legal, operations and compliance, and data governance. Provide strong leadership to build a well-functioning team. Privacy Program Development: Design, implement, and evolve a robust and forward-thinking privacy program tailored to the specific needs of SIE’s multi-faceted, data-driven business. Provide senior leadership in communicating company's vision, strategy, and objectives for data privacy and data husbandry to stakeholders across SIE. Regulatory Compliance: Stay up to date with evolving global privacy laws and regulations, including GDPR, CCPA, and other regional data protection requirements. Ensure the company's policies and practices remain compliant with the changing legal landscape. Privacy by Design: Advocate privacy-by-design principles and ensure that privacy considerations are integrated into the development of new products, services, and technologies, working closely with product counselors, product managers, business function leaders and SIE’s ESG team. Privacy Policies and Procedures: Create and review privacy policies, notices, consent forms, and related documentation to ensure transparency and compliance with relevant data protection laws. Collaborate with Legal, Compliance, and other teams to disseminate these policies throughout the organization and to customers. Employee Training and Awareness: Conduct privacy training programs for employees and management to promote a privacy-aware culture. Foster awareness of privacy responsibilities and best practices throughout the organization. Vendor Management: Develop and evolve SIE’s processes to assess the privacy practices of vendors and third-party partners to ensure that data processing agreements and contracts comply with privacy and SIE’s Information Security requirements. Privacy Impact Assessments: Oversee the conduct of privacy impact assessments (PIAs) to identify and mitigate privacy risks associated with the company's data processing activities. Incident Response: Develop and maintain an effective incident response plan for privacy breaches. Coordinate with the Incident Response team to manage and mitigate privacy incidents and associated risks. Reporting and Accountability: Provide regular reports on the status of the privacy program to executive leadership and the board of directors. Be a focal point of contact for privacy-related inquiries from regulators and customers. What We’re Looking For: Juris doctor degree; bachelor or advanced degree in computer science, information technology, or a related field. An advanced degree is a plus. 20+ years of legal experience and 10+ years proven experience in a senior privacy leadership role, preferably as a Chief Privacy Officer or Privacy Officer, within a data-driven technology company or relevant industry. In-depth knowledge of global privacy laws and regulations, such as GDPR, CCPA, and other regional frameworks. Broad knowledge of emerging requires in the APAC region a strong plus. Demonstrated ability to design and implement comprehensive privacy programs that align with industry best practices, laws and regulations and data use requirements typical of a company like SIE. Experience in building an incident response process with partnership with the CISO or similar function; experience managing privacy incidents. Experience conducting privacy impact assessments and building processes for such assessments that will easily scale. Excellent communication and interpersonal skills, with the ability to interact effectively with stakeholders at all levels of the organization. Strong leadership qualities, with the ability to influence and drive change in a collaborative environment. Privacy-related certifications such as CIPP, CIPM, CIPT, or other relevant certifications are highly desirable. #LI-SF1 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. $302,400 — $453,600 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: Limassol, Cyprus Spotware Systems is seeking an experienced Senior Java Engineer to join our dynamic team in our office in Limassol. As a Senior Java Engineer, you will be responsible for designing, developing, and maintaining high-quality software solutions using Java and related technologies. You will be communicating with the Product Manager, Client-Side Developers, DevOps and the DBA team. Responsibilities: Designing, developing, and implementing Java-based applications, components, and services. Collaborating with architects and technical leads to define software architecture and design patterns. Working closely with QA engineers to ensure the quality and reliability of software deliverables. Clear specifications and requirements will be provided to you by the Product Manager and there will be strict plans and sometimes deadlines to follow. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. ​​​​​​​3+ years of experience as a Java Developer. Solid experience with unit testing. Strong J2SE programming skills. Multi-threading (Executors, locks). Understanding of Collections framework and its pitfalls. Experience with Spring Web and Spring IoC. Experience in TCP/IP networking and sockets programming (Netty nice to have) Strong experience with SQL. Skills in a high performance and low latency environments Strong analytical skills required to solve complicated technical problems. Fluency in Russian and B1+ in English language. You use AI not just occasionally, but as a core part of how you think, work, and deliver results. Being AI-augmented is part of what makes you a top performer. A plus to have: Netty ​​​​​​​Quarkus Redis PostgreSQL Protobuf Conditions: Private medical insurance. ​​​​​​​Relocation support (if applicable), including an entry permit , relocation bonus , flight tickets , and airport pickup . Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare. A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box to celebrate the arrival of a child. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

Location: Limassol, Cyprus Workplace: hybrid We’re looking for an Engineering Manager to lead our Grocery Marketplace Experience team. The team builds the native Grocery and Food storefront in the inDrive super app: the iOS and Android experience and the mobile backend-for-frontend. In this role, you’ll hire and lead a cross-functional team of 8–9 engineers, and build high-performance, scalable systems together with them. Key Responsibilities Hire, lead and grow a cross-functional engineering team (iOS, Android, backend, QA), supporting new developers’ adaptation and career development Manage project planning, execution, and resource allocation to ensure high-quality and on-time software delivery Align engineering efforts with business goals through close collaboration with stakeholders and the other teams Develop and optimize engineering processes, tools, and technologies in collaboration with the teams Build and nurture a developer community within the company and participate in external conferences Oversee the use of core technologies, including Golang, Kubernetes and native iOS and Android development, to ensure efficient development practices Skills, Knowledge and Expertise Demonstrated experience in engineering management with a strong background in software development Solid understanding of system design, high-volume projects, server and client architecture, and development limitations Excellent leadership and communication abilities, with a talent for explaining complex technical concepts by sharing your technical expertise Ability to manage multiple projects simultaneously, ensuring timely and quality delivery Enthusiasm for new technologies and a commitment to ongoing skill development and teamwork BS/MS in Engineering, Computer Science, or a related field Experience working on Grocery, Marketplace, or other e-commerce products, with a strong understanding of their business and technical challenges Experience in managing mobile (iOS/Android) teams is a plus Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from 90 700 EUR gross Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 59 200 EUR gross Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are seeking a highly motivated and detail-oriented Global Tax Specialist to support the execution of our tax agenda across the EMEA and APAC regions. Based in Cyprus and working closely with our International Tax Leads for EMEA/APAC, you will play a hands-on role in delivering regional projects, keeping a fast-growing multinational footprint compliant, mitigating tax risk, and enabling new market and product launches. This is a broad, high-exposure role: you will work across corporate income tax, VAT/GST, withholding taxes, permanent establishment risk and transfer pricing, in both mature EU markets and complex emerging-market jurisdictions. Key Responsibilities Project support: Support the International Tax Leads on EMEA/APAC projects — new market entries, product and payment flow launches, intercompany restructurings and entity rationalisation. Assess the corporate tax, VAT/GST, withholding tax and permanent establishment implications and translate them into practical recommendations for the business. Compliance & reporting: Coordinate with external advisors, local finance teams and Accounting to ensure timely, accurate filings and reconciled tax accounts. Advisory & research: Research local tax legislation, double tax treaties, permanent establishment thresholds and non-resident/digital service provider registration regimes. Monitor legislative change across the region — DAC7, Pillar Two, local e-invoicing mandates, digital platform reporting — and flag business impacts early. Transfer pricing: Assist with local file and documentation gathering, review of intercompany agreements, intercompany invoicing and recharges, and monitoring of local transfer pricing compliance and filing obligations. Audit & controversy support: Support local tax audits, information requests and authority queries by preparing documentation, reconciling tax positions and drafting responses alongside external advisors. Tax accounting: Support current and deferred tax computations, uncertain tax position assessments and provision inputs for the group reporting cycle. Process improvement: Identify opportunities to standardise and automate tax data collection, compliance tracking and reporting through ERP reporting, tax compliance management platforms and e-invoicing readiness. Skills, Knowledge & Expertise Education: Bachelor's degree in Accounting, Finance, Economics, Law or a closely related field. A professional qualification (ACA, ACCA, ADIT, CPA or local equivalent) is a plus. Experience: 5+ years of dedicated tax experience in a multinational or Big 4 environment, with a strong EMEA and/or APAC focus. Hands-on experience with Cyprus tax (corporate income tax, IP Box, Cyprus VAT) and with emerging-market jurisdictions across Africa, the Middle East, Central Asia or South/Southeast Asia is a significant advantage. Technical knowledge: Solid grounding in international tax concepts — withholding taxes, permanent establishment, double tax treaties, transfer pricing — together with practical indirect tax experience across EU and non-EU regimes, including non-resident digital services VAT/GST registrations. Familiarity with Pillar Two and platform reporting obligations (DAC7 and equivalents) is welcome. Language skills: Professional fluency in English is essential. Russian and/or Greek is a strong plus; an additional EMEA or APAC language is welcome. Systems: Prior experience with NetSuite, Workday or comparable ERP systems is a plus, and strong Excel/Google Sheets skills. Exposure to tax compliance management platforms (e.g. Loctax) is a plus. Skills: Highly organised, proactive and comfortable owning multiple workstreams and deadlines in a fast-paced, remote-first, multi-jurisdiction environment. Clear written English and the ability to explain tax outcomes to non-tax stakeholders Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 48 300 EUR Gross. Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid The AI Solution Delivery team is expanding its capabilities in NLP to build production-grade AI products. We are looking for a Senior Data Scientist to architect, build and deploy complex models for automating customer support operations. You will be responsible for selecting the right technical approaches and ensuring the scalability of our solutions. A proven track record in applying advanced NLP techniques to real-world problems is required. Key Responsibilities Lead the entire machine learning model lifecycle, from initial research and hypothesis testing to production deployment and maintenance Translate complex business goals into well defined data science problems and quantifiable metrics Design and develop robust, scalable machine learning systems from scratch, including data analysis, annotation, and processing pipelines Contribute to the overall system architecture and integrate ML models with existing backend services and infrastructure Monitor and maintain deployed models, proactively identifying and addressing issues like concept drift to ensure consistent performance Support the development and growth of other team members through mentorship and participation in onboarding programs Drive continuous improvement by automating repetitive tasks and proposing innovative solutions that lead to significant business impact Communicate complex technical concepts and findings clearly and concisely to both technical and non technical stakeholders Skills, Knowledge and Expertise 5 years of professional experience in a data science or machine learning role with deep focus on NLP. Previous software engineering experience is preferrable. An academic background in a quantitative field such as Computer Science, Mathematics, or a related discipline will be a plus Expert level proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit learn). Deep expertise in classic machine learning and deep learning techniques, with a strong understanding of advanced mathematics relevant to these fields. Experience with ML system design and MLOps practices for building, testing, deploying, and monitoring models in a production environment. Proven experience with event systems, deployment environments, and maintaining production services. Familiarity with technologies for streaming, batch, and async data processing. Strong understanding of software system design principles and the ability to contribute to architectural discussions. Experience in experimental design to validate hypotheses and measure the effectiveness of solutions. A solid grasp of security, risk, and control concepts in a production environment. Conditions & Benefits Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.