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Location: Vilnius, Lithuania Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a AI Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Job Overview We are seeking a talented AI Engineer to maintain and enhance our existing AI-powered solutions built on Kafka, AWS, and Large Language Models (LLMs). You will play a critical role in ensuring the reliability, scalability, and performance of our systems while contributing to the development of new features to improve our platform. Key Responsibilities Maintain and optimize existing AI solutions built on Kafka, AWS, and LLMs. Monitor and troubleshoot data pipelines to ensure seamless data flow and system performance. Collaborate with cross-functional teams to integrate AI models into production environments. Enhance LLM-based features for natural language processing tasks such as text analysis and customer interaction automation. Implement and maintain scalable, secure, and cost-efficient solutions on AWS. Ensure high availability and fault tolerance of Kafka-based streaming data systems. Develop and maintain Python-based applications and scripts to support AI and data processing workflows. Contribute to the design and development of new AI-driven features to improve user experience. Stay updated on the latest advancements in AI, LLMs, and cloud technologies to propose innovative solutions. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 3+ years of experience in AI engineering, data engineering, or a similar role. Strong proficiency with Apache Kafka for building and maintaining data streaming pipelines. Hands-on experience with AWS services (e.g., EC2, S3, Lambda, SageMaker, ECS). Experience working with Large Language Models (LLMs) and NLP frameworks (e.g., Hugging Face, TensorFlow, PyTorch). Advanced proficiency in Python for developing AI models, data processing scripts, and automation tools. Familiarity with other programming languages (e.g., Java, Scala) is a plus. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and teamwork skills. Preferred Qualifications Experience with real-time data processing and event-driven architectures. Familiarity with CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CloudFormation). Previous work in the travel or fintech industry. Understanding of GDPR and data privacy regulations. What We Offer Competitive salary and benefits package. Opportunity to work with cutting-edge AI and cloud technologies. Flexible remote or hybrid work environment. Collaborative and innovative team culture. Professional growth and development opportunities.

Location: San Francisco, CA | New York City, NY 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 are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. Responsibilities Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse You may be a good fit if you Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry Have proficiency in Python and experience building ML systems Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems Are worried about misuse risks of AI systems, and want to work to mitigate them Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also have experience with Language modeling and transformers Building classifiers, anomaly detection systems, or behavioral ML Adversarial machine learning or red-teaming Interpretability or probes Reinforcement learning High-performance, large-scale ML 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: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle 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 Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents. We all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: - Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/ - Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/ - Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/ - Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/ RESPONSIBILITIES - Build and maintain scalable infrastructure to support the deployment and operation of machine learning models. - Establish standards and best practices for reliability and performance across the infrastructure. - Automate processes when relevant, particularly for managing CI/CD pipelines. - Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution. - Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions. - Mentor junior team members and contribute to knowledge sharing within the organization. - Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity. - Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates. REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. - Extensive experience with Kubernetes. - Experience in building and maintaining scalable infrastructure. - Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Circle CI, Jenkins). - Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, OpenTelemetry) is a plus. - Ability to own projects end-to-end, from project specification to execution. - No prior machine learning experience required, but should be open to learning about it. 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: Belgrade Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. About the role We’re looking for a Senior Platform Engineer to own the reliability of our platform and how we deliver software. Our entire platform runs on AWS, spread across multiple regions and dozens of accounts, so strong AWS experience at this scale is the core of the role. You’ll set company-wide standards for CI/CD and GitOps, and run Kubernetes on AWS in production. You’ll also keep the platform available, observable and resilient under real payment traffic. You’ll work closely with the Security and engineering teams, and you’ll help bring AI-driven tooling into how we build and operate systems. What You'll Be Doing Platform reliability. Keep the platform available, resilient and fast. Take part in incident management and the on-call rotation, and run blameless post-incident reviews. Infrastructure. Design, build and run our multi-region, multi-account AWS landscape and the EKS clusters on it. Manage infrastructure as code with Terraform, and manage AWS resources from Kubernetes with AWS Controllers for Kubernetes (ACK). CI/CD and GitOps strategy. Define company-wide CI/CD standards and design reusable pipeline templates. Maintain pipelines across 20+ repositories, and roll out GitOps and progressive delivery (canary, blue/green) with Argo CD. Governance and guardrails. Build security and compliance guardrails into the platform and delivery pipelines, together with the Security team. Observability. Improve monitoring, logging and alerting with VictoriaMetrics, Grafana, Loki, Zabbix, Splunk and PagerDuty. Define SLOs, SLIs and error budgets for critical services. Toil reduction. Build internal tooling and self-service so engineers do less manual work. AI in operations. Find and adopt AI-driven tools for delivery and operations, such as failure prediction and automated root cause analysis. Documentation. Write and maintain configuration standards, runbooks and architecture designs. Qualifications You Bring Extensive, hands-on production experience with AWS. This is our most important requirement. You have designed and run real workloads on EKS, VPC networking, IAM, EC2, RDS, S3 and related services. Experience with GCP or Azure is welcome too, but strong AWS skills are what we need most for this role. Proven experience designing and operating multi-region and multi-account AWS environments. This is mandatory, not a nice-to-have. It includes AWS Organizations, cross-account IAM roles, Transit Gateway or VPC peering, cross-region replication and disaster recovery. 5+ years running production Linux systems, with at least 3 of those years on Kubernetes in production (Docker, Helm) 4+ years designing and running CI/CD at scale with GitLab, Jenkins or GitHub Actions Strong hands-on experience with GitOps and infrastructure-as-code: Argo CD, Terraform Experience managing AWS resources through Kubernetes with AWS Controllers for Kubernetes (ACK) Experience with observability at scale: custom metrics, instrumentation, log aggregation (Loki or similar) and alerting Scripting or programming skills in Python, Go or Bash Working knowledge of PostgreSQL, MongoDB, RabbitMQ, Nginx and Apache Understanding of distributed systems, and experience working in Agile (Scrum) teams Strong written and spoken English A real interest in AI tools and how they can improve engineering work Nice-to-Have: Experience with high-availability, high-volume web services (payments or fintech is a strong plus) Experience running infrastructure in regulated environments under PCI DSS, SOC 2 or ISO/IEC 27001, including taking part in audits and putting the required controls in place A track record of practising SRE with SLOs, SLIs and error budgets eBPF-based observability (Cilium, Hubble, Pixie or similar) Certifications such as AWS DevOps Engineer – Professional or CKA/CKAD A self-directed work style and a habit of automating away recurring work We offer: Attractive monthly salary paid in line with experience Vacation, sick, and paid holidays Flexible working hours Full-time: 5/2 Modern workplace with all necessary equipment A team of top international professionals to learn from Multicultural working environment Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: Dubai, United Arab Emirates Mira construction is seeking an experienced Construction Structural Engineer The work-format: -Head office supervision Responsibilities: Report to the Resident Engineer and assist in supervising the construction of structural-related works. Coordinate the activities with the other engineers and members of the construction supervision team. Review of shop drawings, design proposals, method statements and other activities. Coordinate with design engineers for resolution of related issues. Maintain the daily diary and the daily reports by the inspectors. Direct, assist and monitor the performance of the inspectors and surveyors as applicable. Convene and chair special meetings with the service authorities, the contractor, subcontractors and other parties related to his work. Ensure accuracy and completeness of records. Ensure safety goals are achieved on the project and oversee implementation of safety procedures on the project. Prepare / Assist in the preparation of Weekly and Monthly progress reports. Ensure correctness and completeness of ‘as-built’ drawings within his line of work. Keep necessary records and as-built records and take charge of the handing over of the structural works to the respective service authorities and assist the contractor to obtain necessary final clearance. Requirements Bachelor's degree in Civil or Structural Engineering Minimum 8 years of experience in structural design and construction, with a strong focus on buildings. Knowledge of local Authority standards and regulations is essential. Proficiency in utilising CAD, Revit and other PC software packages associated with structural modelling, analysis and design. Experience working in construction field in UAE for minimum 5 years. English level proficiency. Benefits Competitive salary; Official UAE employment status; Comprehensive medical insurance coverage; Note: If your resume aligns with our requirements, our recruitment team will reach out to you for an initial interview. If, for any reason, your application is not selected, we sincerely appreciate your interest in joining Mira Construction. We carefully consider all applications and will contact the most suitable candidates for an interview with our recruitment team and, subsequently, an interview with the Mira Construction team. Thank you for considering a career with us.

Location: Batumi Workplace: remote CSM Georgia is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement. JOB DESCRIPTION & QUALIFICATION Responsible for maintaining the electrical and electronic equipment onboard the ship. Holder of valid COC (STCW Reg III/6) with verification. STCW and training certificates corresponding to the rank must be valid. Good communication and solution finding skills. English proficiency written and spoken. Safety culture and mindset.   VESSEL'S SPECIFIC REQUIREMENTS   Minimum Experience in Rank 4 months. Experience with High Voltage installation. Experience with Electro-Hydraulic crane repairs. Trading area [USA, Australia]   CONTRACT TERMS & CONDITIONS   Contract Duration [4 months +/- 1 month]  Contract Benefit: competitive salary Terms and condition as per CBA applicable Rejoining Bonus Free Internet onboard and wellbeing support   You may include with your application any reference, specific job qualification, and your availability date. Looking forward to welcoming you in the Columbia Group Family.

Location: United States, Remote Would you like to work on a new IP and new genre at teamLFG that combines amazing action feel with lighthearted and whimsical characters? Are you on a mission to create games that bond players together into deeply invested communities? As an Engineering Director at teamLFG, you will hire, build and direct a technology organization to deliver amazing never-seen-before game experiences. Your organization will build and utilize a wide range of technologies and workflows to develop, continuously deliver, and maintain a live production game service. As part of the project and studio leadership team, you will create and evolve a technology strategy that is aligned with project goals and initiatives and serves the needs of the game, its players, and employees. As part of a diverse company that prizes creativity and technical excellence, your servant leadership will inspire and motivate a cross-discipline team to help build a new franchise beloved by millions. We look for candidates who value joining a mission-focused team with a diverse set of backgrounds, experiences, interests, and viewpoints. RESPONSIBILITIES Collaborate with a cross-disciplinary project leadership team to develop and maintain a product technology strategy that is informed by product vision, technical costs, and long-term technology goals Leveraging the Unreal Engine and technology the team has built, direct the engineering organization to tackle challenging problems, find combinations of innovative technology with proven models, and build reliable solutions that deliver game experiences while sensibly managing technology risks Recruit, nurture, and retain an engineering organization (30+ engineers, both internal FTE and external codev) with the skills, capacity, and adaptability to navigate uncertainty and deliver on the changing needs of the project Manage multiple senior engineering leads, providing management support, technical guidance, constructive feedback, and career development coaching Work with production leadership to schedule, track, deliver, and close out game features and releases, anticipating and mitigating any critical risks encountered, technical or otherwise Communicate with PlayStation executives, directors, and technology teams, as needed REQUIRED SKILLS Experience managing an organization of 20+ engineers on AAA game engineering teams Experience working with and directing co-development engineering teams Experience with developing and running online games in a live service environment Ability to align with leadership and executive stakeholders, translate goals into strategic technology solutions with a thorough understanding of cost, efficiency, and quality tradeoffs, and then lead an organization to execute on a technology strategy Effectively communicate with and inspire fellow engineers by driving team alignment and buy-in on technology vision and architectural principles Ability to work with a team in a hybrid environment, leveraging real time chat communications and documentation across an entire game studio Ability to communicate with stakeholders of different business, technical, and non-technical backgrounds, to help align objectives and negotiate common goals Bachelors degree or equivalent NICE TO HAVE SKILLS Experience with development using the Unreal Engine Experience with development on a variety of platforms (PC, console) Experience with agile development methodologies 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. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $255,000 — $383,000 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.

Location: Al Jubail, Saudi Arabia; Al Khobar, Saudi Arabia; Yanbu, Saudi Arabia; Riyadh, Saudi Arabia; Jeddah, Saudi Arabia; Tabuk, Saudi Arabia Eram Talent is looking for an experienced Drilling Engineer to join our client in Saudi Arabia, a prominent player in the Oil & Gas sector. This role offers a unique opportunity to engage with challenging drilling projects, streamlining operations and enhancing efficiency in a fast-paced environment. The successful candidate will be responsible for designing and executing drilling programs, optimizing drilling performance, and ensuring rigorous adherence to safety and environmental standards. Collaboration with geologists, reservoir engineers, and drilling teams to develop innovative drilling solutions will be essential. Key Responsibilities: Design and implement comprehensive drilling programs. Optimize drilling operations to enhance performance and reduce costs. Work closely with cross-functional teams to create strategic well plans. Conduct risk assessments and ensure compliance with safety regulations. Analyze drilling performance data and recommend improvements. Oversee drilling activities and provide technical guidance to field teams. Requirements Bachelor's degree in Petroleum Engineering, Mechanical Engineering, or a related discipline. At least 10 years of experience in drilling engineering within the Oil & Gas industry. Strong understanding of drilling technologies and equipment. Proficiency in drilling software and data interpretation. Excellent analytical and problem-solving capabilities. Strong teamwork and communication skills. Fluent in English, both written and verbal. Willingness to reside and work in Saudi Arabia and travel to field locations as necessary.

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 ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in London. Deadline to apply: None. Applications will be reviewed 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: £260,000 — £630,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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 ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in San Francisco. Deadline to apply: None. Applications will be reviewed 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: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. Your Future Role within QRT You will join the global infrastructure team, responsible for QRT’s Linux estate, including trading infrastructure and low-latency platforms. The team works closely with application and support functions to deliver secure, high-performance, and scalable solutions for the business. Manage and evolve QRT’s Linux platform to support global trading environments Work with application and support teams to maintain a secure and scalable infrastructure Lead the design and implementation of automation frameworks, tools, and processes Contribute to the development of monitoring and observability capabilities Analyse and tune performance across systems, networks, and applications Support build/release management processes Collaborate within a version-controlled development environment Your Present Skillset Strong expertise in Linux (preferably Red Hat–based distributions) Experience building and administering large-scale or latency-sensitive platforms Extensive experience with architecture and long-term evolution of automation and configuration management systems (e.g. Ansible, Puppet, Chef) Experience with monitoring and observability tools (e.g.  Splunk, Elastic, Prometheus, Grafana) Experience with build/release management systems. Solid programming skills in Python and Bash (C/C++ is a plus) Detailed understanding of server network stack, network protocols (e.g. TCP, UDP, IGMP, LAN and WAN technologies) Experience of performance analysis and tuning Experience working in a collaborative development environment using source control Strong problem solving and analytical skills Effective communication and teamwork skills QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: New York; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for Forward Deployed Engineers on our engineering team who want to work at the intersection of deep infrastructure work and direct customer impact. As an FDE, you’ll partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, sandboxing, and more, helping them design and ship production infrastructure on Modal’s platform. The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We’re looking for people with strong engineering fundamentals, deep curiosity across the infrastructure stack, and energy for working directly with customers on hard problems. WHAT YOU’LL WORK ON: - Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and deploy massive-scale production workloads on Modal - Lead technical discovery and architecture sessions with prospective and existing customers - Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal’s serverless platform - Collaborate with Modal’s product and sales teams, contributing to the platform as both an engineer and a product stakeholder - Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work - Conduct technical demos, experiments, and proofs of concept that make Modal’s infrastructure advantages tangible YOU MAY BE A FIT IF: - You have 3+ years of professional software engineering experience - You have hands-on experience with cloud platforms (AWS, GCP, Azure), including compute, storage, networking, and container orchestration (Docker, Kubernetes) - You’re familiar with distributed systems architecture, data pipelines, and Infrastructure as Code (Terraform, Pulumi, CloudFormation) - You’re a strong communicator who can go deep on systems architecture with an infrastructure team and clearly articulate tradeoffs to technical leadership - You have a genuine interest in working directly with customers: you find it energizing to understand someone else’s problem and help them solve it - You’re willing to work in person in New York City, San Francisco, or Stockholm NICE-TO-HAVE: - Experience leading large-scale migration efforts, open-source contributions, or side projects you’re proud of

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The team The Hardware Automation team builds the internal platforms and tooling that power how Nebius operates its data center infrastructure at scale. Our mission is to eliminate manual effort, reduce human error, and give every team in the Hardware Infrastructure department real-time visibility and control over the systems they own. We operate as a product engineering team embedded within hardware infrastructure — meaning we don't just write requirements and hand them off. We own the full stack: from requirements gathering with data center operations and hardware engineering, through design and build, all the way to rollout and ongoing reliability. The role Ensure fault-tolerance, scale and uninterrupted operations for our services. Use cutting-edge technology to solve a variety of infrastructure problems. Implement and improve CI/CD processes. We expect you to have : Proficiency in Linux systems, with expertise in Python and Bash scripting for automation. Demonstrated ability to troubleshoot complex system issues, including hardware, software and networking problems. Strong analytical and problem-solving skills, with a focus on optimizing system performance. Working proficiency in English. It would be an added bonus if you had : Desire to be involved in backend development. Experience designing, developing and running high-load distributed systems. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Home Based - Americas; Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring technical engineering manager to redefine the embedded Linux experience with the smallest, most secure, and most reliable operating system in the IoT market. This is an opportunity for a technical leader passionate about open source software, Linux, containers, security, and the developer experience, to shape the future of Linux from the smallest systems up to desktops. This challenging role demands a high degree of technical skill as well as high caliber for inspiring and driving people. Our mission is to allow everyone to build robust solutions in various fields including but not limited to IoT, automotive, and aviation using the next generation secure embedded Linux operating system in a simple solution. We define a reliable and secure set of device recovery mechanisms that enable device manufacturers to simplify and standardize the field operations for fleets of heterogeneous appliances. As an engineering manager, you’ll lead a team of strong software developers to design and implement Ubuntu Core system software on various CPU architectures, such as ARM, RISC-V, and X86.  You will meet stakeholders, prioritize requests, plan the roadmap and ensure the team can deliver their goals. You will have the opportunity to influence the culture, facilitate technical delivery, and work with your team on strategy and execution. The role entails Building and leading a distributed team of engineers through hiring, coaching, mentoring, feedback and career development Demonstrating sound engineering principles by directly contributing toward your team’s goals Coaching and mentoring team members with hands-on career development Effectively setting and managing expectations with other engineering teams, senior management, and external stakeholders Advocating and advancing modern, agile software development practices and helping develop and evangelize great engineering and organizational practices Contributing to a healthy, collaborative engineering culture in line with the company values Actively participating in the leadership team and collaborating with other leaders in the organisation What we are looking for in you Demonstrated competencies in embedded software development Strong skills in Golang, C++ and Shell A solid understanding of Linux and a modern GNU/Linux distribution, Debian or Ubuntu preferred Love for developing and growing people and have a track record of doing it Demonstrated ability of planning and executing to deliver high quality software in a timely manner Solid experience working in an agile development environment Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Professional written and spoken English with excellent presentation skills Nice-to-have skills Familiarity with an immutable Linux distribution, preferably Ubuntu Core Experience with multiple CPU architectures such as ARM, RISC-V Experience with Linux native containerization and security What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-REMOTE

Location: Tel Aviv Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint - we’ve got huge goals. As a Senior Platform Engineer at Via, you’ll join our R&D center in TLV. You’ll be part of a team of developers and devops engineers, directly contributing to our product by using cutting-edge technologies. You’ll take a critical part in our mission to shape the future of transportation, affecting tens of thousands of riders daily worldwide. The Platform Group is a cross-functional group dedicated to building and maintaining the robust foundation on which Via operates. This team is responsible for designing, implementing, and managing cloud infrastructure, Kubernetes clusters, CI/CD systems, and tools that empower our development and production environments. With a focus on enhancing developer experience, operational efficiency, and reliability, the team drives initiatives that: Design and implement scalable and secure cloud infrastructure. Develop and maintain Kubernetes clusters and related tools, ensuring high availability and performance. Manage edge gateways, WAF solutions, and other critical infrastructure components. Define and enforce CI/CD standards to streamline development and delivery workflows Build tools and automation to enhance productivity across engineering teams. Ensure the reliability, security, and scalability of production infrastructure. What You’ll Do: Define infrastructure standards for dev teams Design, implement and develop tools for controlling infrastructure of micro services Build CI/CD automation and templates with GitLab Build, maintain and operate AWS and Kubernetes infrastructure Develop and maintain an in-depth understanding of the applications and architecture at Via Work in contact with other teams across the company to ensure smooth and documented changes to all environments Identify and resolve problems in mission-critical services, automating remediation procedures to prevent recurrences Bring ideas to the table, take ownership over their project timelines and deliverables and help us scale Who You Are: BSc. Computer Science or similar. 5+ years of professional experience in backend or full-stack development in a product development team. Object oriented programming programming experience is required. 3+ years experience as Devops/SRE in a production environment 2+ years experience with containers, Kubernetes, Helm, Argo CD 2+ years experience with AWS or GCP/Azure 1+ years experience with CICD - GitLab/Jenkins/Github actions/etc. Experience with networking, distributed systems, SQL and NoSQL databases Experience with Unix/Linux operating systems internals and administration Fluent in English language Advantage - Experienced with declarative IaC tools like Terraform, Cloudformation or Pulumi Commitment to a collaborative environment infused with professionalism, integrity, passion, and accountability Compensation and Benefits Our product impacts millions of users around the world  providing alternative transport solutions that are more: efficient and accessible, changing cities to make them greener. Competitive compensation package which includes base salary and equity. Health insurance with a discount for family members. Hybrid work and a lovely office situated in the heart of TLV, in Midtown, close to the light rail and train station. Career development and growth opportunities. Other perks: Freefit and other sports lessons, 10bis/Cibus - you choose!, happy hours, team events, communities and many more benefits. Founded in 2012, Via pioneered the TransitTech category by using new technologies to develop public mobility systems, optimizing networks of buses, shuttles, wheelchair accessible vehicles, school buses, autonomous vehicles, and electric vehicles around the globe. Building the world's most efficient, equitable, and sustainable transportation network for all passengers, including those with limited mobility, those without smartphones, and unbanked populations — Via works with its partners to lower the costs of public transit while providing transportation options that rival the convenience of a personal car while reducing environmental impact. At the intersection of transportation and technology, Via is a visionary market leader that combines software innovation with sophisticated service design and operational expertise to fundamentally improve the way the world moves, providing technology in 650 communities and more than 35 countries and counting. We are dedicated to building a diverse, inclusive and authentic workplace. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. All backgrounds, identities, and voices are welcomed and celebrated at Via. Ready to join the ride? Via is an equal opportunity employer.

Location: Worldwide Engineering Manager We are looking for an Engineering Manager to lead a team of backend engineers building the systems behind our financial products. You will own the team's delivery, technical direction and people growth, and help shape engineering culture across the department. You'll operate with significant autonomy, making key decisions on architecture, priorities and ways of working, and you will work closely with product and neighboring engineering teams to turn business goals into reliable, scalable services. Your work will directly impact the quality and speed with which Plata delivers to its customers. Challenges that await you: Lead, mentor and grow a team of engineers: hiring, onboarding, career development and honest feedback, while fostering a culture of ownership and engineering excellence. Take ownership of your team's delivery and the reliability of its services: set priorities, plan roadmaps, and keep quality, scope and timelines in balance. Drive technical strategy and architecture for high-load, distributed systems, balancing immediate business needs with long-term, future-proof decisions. Partner with product, other engineering teams and stakeholders to understand needs, align on priorities and provide a seamless, dependable service. Improve engineering practices across the team and the department: code quality, testing, observability, incident management, CI/CD. Take part in shaping the department: share best practices, contribute to hiring standards and help grow the engineering community at Plata. What makes you a great fit: 3+ years of experience leading a software engineering team, with a strong ability to mentor engineers, manage change and drive team growth. 5+ years of hands-on backend development , particularly building robust, high-scale, distributed systems. Deep experience designing , building and operating production systems with high throughput and reliability requirements. Comfortable in our primary tech environment: JVM languages (Java/Kotlin) , Kubernetes and AWS. Strong understanding of what it takes to build resilient, fault-tolerant systems, including microservices, messaging and data storage. A strategic, product-oriented mindset with the ability to connect technical solutions to business metrics like cost, reliability and speed of delivery. English at B2 or higher for effective work with an international team. Nice to have Golang development experience Experience in fintech, banking or other regulated, high-load environments. Experience with payment systems, third-party API integrations or event-driven architectures. Experience scaling a team or managing several teams Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to Cyprus, Georgia, Spain — with assistance for the employee and their family Flexible work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT We are seeking pragmatic and commercially-oriented Reliability Engineer s with strong C++ development skills to join our team. The ideal candidate will have a robust background in technology and a keen interest in solving business problems. This role is crucial for maintaining the reliability and performance of our systems, ensuring they meet the high standards required in the financial industry. What you will do: Design, implement, and maintain scalable and reliable systems Monitor system performance and troubleshoot issues to ensure optimal operation Collaborate with development teams to improve system reliability and performance Develop and implement automation tools to streamline operations Ensure security and compliance standards are met Provide technical support and guidance to other teams Requirements Proven experience in site reliability engineering or a similar role Strong understanding of system architecture and cloud technologies Proficiency in C++ development, with additional knowledge of Python or C# being a plus. Experience with monitoring and logging tools Excellent problem-solving skills and attention to detail Ability to work in a fast-paced, dynamic environment Commercially oriented mindset with a focus on business outcomes Experience working on the buy side is a significant positive. Experience with low latency order entry or market data systems is highly desirable. Prior experience in the finance industry is preferred but not required. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: India We are looking for a Technical Support Engineer II (TSE 2) to join our global Customer Support team. This role is ideal for someone with a strong technical foundation who is eager to grow into a subject matter expert. You will be responsible for troubleshooting complex customer issues, collaborating with engineering and product teams, and driving customer satisfaction through timely and effective solutions. As a TSE 2, you are expected to go beyond basic troubleshooting by performing in-depth analysis, mentoring junior engineers, and taking ownership of technical cases to closure. Key Responsibilities Serve as the primary technical contact for customers, managing support cases from initial intake through resolution. Troubleshoot, analyze, and resolve complex technical issues across product areas (networking, security, OS, applications, etc.). Reproduce customer issues in lab environments and document clear findings for Engineering escalation when required. Collaborate with Engineering, QA, and Product teams to drive bug fixes and product improvements. Mentor and assist TSE 1 engineers in case handling, best practices, and technical skill development. Ensure timely updates and clear communication with customers on case progress and action plans. Document solutions, troubleshooting steps, and knowledge base articles to enhance team efficiency. Participate in 24x7 on-call rotations, weekend shifts, or critical incident response as needed. Contribute to process improvements and best practices to improve customer experience. Requirements Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent hands-on experience). 3–5 years of experience in Technical Support, System Administration, or a related role. Strong troubleshooting skills in at least two of the following areas: Operating Systems: Windows, Linux/Unix Networking: TCP/IP, DNS, VPN, Firewalls, Routing Security Technologies: SIEM, IDS/IPS, endpoint security, SSL/TLS, PKI Databases/Applications: SQL, log analysis, application troubleshooting Familiarity with virtualization platforms (VMware, Hyper-V, or similar) and cloud technologies (AWS, Azure, GCP). Excellent problem-solving, analytical, and communication skills. Ability to handle high-pressure situations with professionalism and empathy. Preferred Qualifications Certifications such as CCNA, RHCSA, CEH, Security+, or equivalent. Experience with enterprise security products, SIEM tools, or incident response. Prior experience working with global customers in a 24x7 support environment. Ability to script or automate tasks (Python, PowerShell, Bash, etc.) is a plus. What We Offer Opportunity to work with cutting-edge security technologies and enterprise customers. Collaborative, diverse, and fast-paced work environment. Professional growth with learning and certification opportunities. Competitive compensation and benefits package.