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Location: Athens; Limassol; Thessaloniki; Nicosia; Fully Remote - in other eligible locations Workplace: hybrid The Role: We are looking for a skilled MLOps Engineer to join our team and play a key role in bridging the gap between our Data Science and Infrastructure teams. You will be responsible for supporting the Data Science team in MLOps-related tasks while also helping in DevOps initiatives, including CI/CD pipeline creation, provisioning of cloud resources using tools like Terraform, and Kubernetes orchestration. You will collaborate closely with data scientists and engineers to deploy data pipelines, train machine learning models, and manage their deployment within scalable cloud environments while ensuring high performance, security, and reliability throughout the ML lifecycle. The main responsibilities of the position include: Assist in designing, implementing, and maintaining scalable MLOps pipelines on AWS using services such as SageMaker , EC2 , EKS , S3 , Lambda and other relevant AWS tools Coordinate with our platform team to troubleshoot Kubernetes clusters (EKS) to orchestrate the deployment of machine learning models and other microservices Develop and maintain CI/CD pipelines for model and application deployment, testing, and monitoring Collaborate closely with Data Science, and DevOps team to streamline the model development lifecycle, from experimentation to production deployment Implement security best practices, including network security, data encryption, and role-based access controls within the AWS infrastructure Monitor, troubleshoot, and optimize data and ML pipelines to ensure high availability and performance Set up and manage model monitoring systems for performance drift, ensuring continuous model improvement Main requirements: Bachelor’s degree in Computer Science, Engineering, or related field 2+ years of hands-on experience in MLOps, DevOps, or related fields Knowledge and preferable working experience in AWS services for machine learning, such as SageMaker , EKS , S3 , EC2 , Lambda , and others Exposure to Kubernetes for container orchestration Experience with Docker Exposure to infrastructure-as-code tools such as Terraform or CloudFormation Familiarity with CI/CD tools such as GitLab CI Understanding machine learning model lifecycle Familiarity with monitoring and logging solutions like Prometheus , Grafana , CloudWatch and ELK Stack Understanding of networking concepts and cloud security best practices Proficiency in Python and Bash , and comfortable working in Linux environments Strong problem-solving and communication skills The following will be considered an advantage: Experience working with serverless architectures and event-driven processing on AWS Familiarity with advanced Kubernetes concepts such as Helm Experience with Data Engineering pipelines, ETL processes, or big data platforms Experience with ML frameworks like TensorFlow, PyTorch and Keras Experience with ML platforms like Kubeflow and/or SageMaker Experience with workflow engines like Argo Workflows and/or Airflow Benefit from: Attractive remuneration package plus performance related reward Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking an experienced and motivated Senior Software Developer to join our dynamic team. In this role, We are looking for a Senior Software Developer with a strong command of modern web technologies to lead the development of scalable, performant, and secure web applications. Our stack includes Angular (v11–20), Firebase, TypeScript, and modern frontend tooling supported by CDNs, Google Analytics, and secure hosting practices. Responsibilities: Lead the development of high-quality software applications, ensuring adherence to best practices and coding standards. Design and implement scalable software architecture that supports business objectives. Mentor and guide junior developers, sharing knowledge and improving team capabilities. Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and debug applications to ensure optimal performance and reliability. Conduct code reviews and provide constructive feedback to enhance code quality. Stay up-to-date with emerging technologies and industry trends, and apply them to improve existing systems and processes. Frontend Engineering: Create responsive, user-focused interfaces utilizing Angular, TypeScript, Bootstrap, Font Awesome, and the Google Font API. Develop sophisticated UI components with jQuery, jQuery UI, DataTables, and Select2. Backend & Cloud Integration: Oversee the integration of Firebase services, including Firestore, Authentication, Functions, and Hosting. Guarantee efficient content delivery and minimal latency for users across the globe. Security & Best Practices: Implement advanced security measures such as HSTS, authentication workflows, and secure credential handling. Ensure that applications adhere to the secure development lifecycle standards (SDLC). Promote the use of contemporary web protocols like HTTP/3. Analytics & Monitoring: Establish and oversee tracking systems using Google Analytics 4 (GA4), Google Tag Manager, and DoubleClick Floodlight. Leverage gathered data to guide product strategies and enhance performance. Continuous Improvement: Keep informed of industry developments and actively suggest enhancements to tools, frameworks, and processes. Engage in sprint planning, retrospectives, and contribute to fostering a culture of technical excellence. Requirements Requirements: Bachelor's degree in Computer Science, Software Engineering, or a related field. Proven experience as a Software Developer with at least 5 years of hands-on development experience. Proficiency in multiple programming languages (e.g., Java, C#, Python, etc.) and frameworks. Experience with front-end technologies (HTML, CSS, JavaScript) and frameworks (React, Angular, Vue.js) is a plus. Strong understanding of software development methodologies (Agile, Scrum) and version control systems (Git). Excellent problem-solving and analytical skills. Ability to work independently and in a team environment. Strong communication and collaboration skills. Preferred Qualifications: Experience with cloud platforms (AWS, Azure, Google Cloud) and microservices architecture. Familiarity with containerization technologies (Docker, Kubernetes) is a plus. Experience with front-end frameworks (Angular). Knowledge of server-side development (Firebase, SQL). Experience with DevOps practices and tools (GitHub). Familiarity with Agile development methodologies. 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: Worldwide We are looking for an Application Security Engineer to join our Information Security team. The Information Security team is responsible for protecting Plata’s products, systems, and data by embedding security throughout the technology lifecycle. We work closely with engineering teams to identify and mitigate security risks, strengthen application defenses, and ensure security is integrated into every stage of software development. As an Application Security Engineer , you will serve as a key link between development and security teams, designing, implementing, and maintaining robust application security controls. You’ll help embed security across the entire software development lifecycle — from design and development to testing and deployment — while continuously improving our application security practices. Challenges that await you: Collaborate with Dev & Ops teams. Guide secure coding practices, participate in code reviews, and embed security seamlessly into the SDLC Conduct security reviews & threat modeling. Analyze application architecture, define threat models, and drive proactive risk identification Integrate security tools. Deploy and manage SAST, DAST, IAST, RASP, and SCA tools within CI/CD pipelines to automate early detection and remediation Handle security incidents Implement “shifting left” strategies, enforce continuous testing, fast remediation, and embed security culture across teams Educate and train. Conduct workshops to elevate developer security awareness and promote adherence to OWASP, ASVS, and secure design standards What makes you a great fit: Proficient in programming languages (web/mobile) Strong understanding of web architectures (microservices) Deep knowledge of OWASP Top 10, threat modeling, and security testing frameworks Familiarity with security tools such as ZAP, Dependency-Track, Burp Strong analytical skills with precise and thorough attention to detail Your bonus skills: Security certifications (OSCP, OSWE, GWAPT, GCPN) Contributions to or experience with bug bounty or ethical-hacking programs SaaS or cloud-native environments experience Familiarity with Kubernetes or container security 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 Kazakhstan, Spain, Cyprus, or Georgia with full visa & permit support to the employee and 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: Tel Aviv-Yafo, Gush Dan, Israel Location: Tel Aviv, Israel About At-Bay At-Bay combines world-class technology with industry-leading insurance to help clients meet risk head-on. Partnering with brokers and business owners alike, we provide modern insurance products and active risk monitoring services for companies of every size and in every industry. Our team boasts many backgrounds and skills, from analysts and developers to designers and underwriters, and everything in between — all working together to redefine what it means to be an insurance company. We’re proud to be a diverse company and to have expertise from multiple industries driving our culture. At-Bay is expanding rapidly, and as we grow, we’re prioritizing inclusive hiring practices and supportive team environments. We’re committed to building a company culture where people of all identities and backgrounds are empowered to thrive, develop their career, and bring their full self to work. At-Bay is a globally distributed company with hubs in Atlanta, New York City, San Francisco, and Tel Aviv. To date, we have raised $292 million in funding from Acrew Capital, Glilot Capital, Icon Ventures, ION Crossover Partners, Khosla Ventures, Lightspeed Venture Partners, M12, entrepreneur Shlomo Kramer, and Qumra Capital. Responsibilities Join a team of highly motivated developers to work together to fill At-Bay’s growing software and scaling needs Work on a range of customer-facing and internal projects, including scaling up our web-based and infrastructural software and internal security and insurance tools Directly work on matters that are critical to the company, building software that is used actively by our insurance team and our customers whilst solving challenging software problems Writing well-tested, organized and robust code to support a rapidly growing organization Proactively taking on software tasks to give efficient turnaround to the requirements of the rest of our international company Work in a modern software environment with continuously deployed and integrated code in our cloud-based infrastructure Taking responsibility of your code, quickly responding to bugs and making sure new and existing software runs smoothly Communicating and working openly with other developers to solve problems and produce high-quality code Qualifications 5+ years of hands-on experience as a backend engineer in Python (preferred) , Java or Go Knowledge in Cyber Security/ Networking- Must Experience with RESTful API development Experience in coding to cloud production environments such as AWS Strong desire to bring products to life, supporting a demanding user base, constantly introducing innovative features whilst keeping things stable Experience with relational databases such as MySQL, Postgresql Non-relational / NoSQL databases such as Elasticsearch, DynamoDB, MongoDB, or similar Experience with microservices architecture Experience with Event based architecture and infrastructures such as: Kafka, Kinesis, SNS/SQS - Advantage Experience with Docker & Kubernetes Excellent communication skills in Hebrew and English What You’ll Get Competitive salary and equity in a hyper-growth company redefining commercial insurance. A strong emphasis on work-life balance : Hybrid model, Wellness days, and more. Beautiful offices in Azrieli Sarona, Tel Aviv, steps away from train and bus lines. A collaborative, fun, and passionate team that loves solving tough problems together. Learn more at at-bay.com

Location: European Union Workplace: Remote About the Role Our promotional features team is seeking a Senior Backend Engineer. This role is focused on developing and optimising promotional features for our gaming platforms, where performance, scalability, and cutting-edge solutions are paramount. If you’re a product-passionate person, your mind is keen to solve deep tech engineering problems, and you have a fast "PoC first" approach with a deep sense of ownership, we would love to hear from you. Key Responsibilities - Develop and maintain robust backend systems for our promotional features. - Optimize existing systems for enhanced performance and scalability. - Lead technical decisions and contribute to our SaaS solutions. - Collaborate with distributed teams to innovate and implement new features. - Ensure code and architectural excellence through reviews. - Address complex technical challenges with innovative solutions. - Participating in on-call rotations within the squad to help ensure the reliability and availability of our systems. Requirments - Strong proficiency in Node.js and TypeScript (our primary backend stack). We’re also open to strong backend engineers from other ecosystems (e.g., Go, Java, C#, C++) who are ready to ramp up quickly. - Strong understanding of asynchronous programming and concurrency patterns. - Experience building distributed systems and working with messaging and coordination tools (e.g., Kafka, RabbitMQ, NATS, distributed locks). - Experience with gRPC in production environments. - Solid knowledge of databases: relational (MySQL, PostgreSQL), columnar (ClickHouse), and NoSQL (DynamoDB, MongoDB). - Experience with cloud platforms (AWS/GCP/Azure) and Kubernetes. - Skilled in building and maintaining unit and end-to-end tests. - Proven track record of delivering production-ready solutions. - Experience working with large-scale microservices architectures. - Degree in Computer Science or a related field (or equivalent practical experience). Nice to Have - Understanding of enterprise development patterns - Experienced with large-scale microservices architecture - Experience with cloud providers (AWS, GCP, etc.) - Active performance observation - Gambling domain experience - Understanding of application security and industry standards, its best practice What We Offer - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement Recruitment Process - HR interview - Technical interview (with Live coding) - Final interview Please take into account that sometimes the process may differ, your TA Partner will keep you updated. Join us today! By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: 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. Canonical’s product management team are technologists who have a passion for delivering products and solutions that help shape market demands while elevating open source software everywhere. This is a general application track for the product management positions at Canonical. You will set a clear vision, prioritize work effectively, and ensure the team delivers high-quality products that meet business and user needs. Apply here if you excel at leadership, communication, and technical vision, and believe you can drive product strategy for the business needs of tomorrow. During the interview process we will identify specific software products which would be a good fit for your interests. We believe that open source is transforming the way that enterprises solve their business needs. Although open source has been around for thirty years, it is only now fundamental to every corner of the software landscape. Going forward we believe open source will have an even bigger impact as it moves into specialised vertical markets. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’, starting with Ubuntu but expanding to cover every class of application on every class of compute. To deliver on that ambition, we select product managers for their intellect and strong drive to advance the open source community. Together, we aim to improve open source quality, outreach, and impact. Our product managers set the vision and the direction to ensure teams deliver the right products in the right markets at the right time. They push the boundaries of the technology landscape to identify and deliver products into new and existing market opportunities. Our product managers are technology professionals with a software engineering background who strive to become business executives and entrepreneurs. We discuss strategy, plan product development, drive engagement, and promote the open source way. We oversee the entire product lifecycle from conception to delivery, blending technical expertise, strategic thinking, analytics, project management skills and effective communication to ensure products meet both user needs and business objectives. We have open product manager roles across a wide range of product domains, including: Ubuntu Platform - Our Ubuntu experience on Desktop, Server, Windows (WSL), Multipass, Gaming, Enterprise, & Hardware Enablement Ubuntu Pro Services - Our key commercial offerings Ubuntu Pro, Compliance, Standards, Security Engineering, and Managed Services on cloud and on prem AI/ML & MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge IoT - Ubuntu on embedded devices and/or edge servers, device management, and robotics Cloud - Ubuntu in public and private clouds, promoting automation frameworks, and including technologies such as Kubernetes, MAAS, and LXD Telco - Open source for Telco's including technologies and standards related to Core Network, RAN/vRAN, SoNIC, DENT, and SmartNICs Finance - Open source solutions for financial institutions including trading platforms, blockchain technologies, regulatory compliance, and AI-driven analytics Automotive - Open source solutions for autonomous driving, in-vehicle infotainment, connected vehicles, and compliance with automotive industry standards such as ISO 26262 and ISO 21434 Application Management - Open source solutions in the enterprise including Observability, IAM, App Stores and technologies such Grafana, GitOps, and Juju Charms If your domain of expertise isn’t listed above, yet you feel it’s relevant to Canonical, then feel free to apply anyway. We will route you to the most suitable team. Location: These roles are home based in the EMEA time zone. You will be expected to be located in this region. The role entails Lead the product development lifecycle, reviewing the priorities and goals for your product Collaborate with cross-functional teams such as engineering, design, marketing, and sales Address common challenges across projects, align on priorities, enable informed decisions, and keep business execution on track Conduct market research, analyse industry trends, and gather customer feedback to identify opportunities Communicate your product vision, status updates, and key decisions to ensure alignment and manage expectations Conduct usability testing, analyse user feedback, and iterate on the product to improve the user experience Collaborate with marketing, sales, and support teams to develop go-to-market strategies, create product documentation, and provide training Contribute to the success of our sales team in winning new opportunities, reviewing customer feedback and participating in customer meetings Oversee the work of a product line, ensuring consistency in strategy and execution across different teams Facilitate collaboration and resolve conflicts within different teams and across other departments What we are looking for in you Exceptional academic results at high school and university Understanding of Linux and the wider open source software community Understanding of computer architecture, application development, datacenters, cloud or devices Passion to write about technologies and the tech landscape A strong work ethic, and personal interests aligned with the open source movement Curiosity, and the habit of continuous learning A strong sense of ownership Problem solving and the ability to innovate Outstanding communications skills in English, both verbal and written For more senior positions, product management experience in the software industry Ability to manage multiple projects or product lines while maintaining focus on key priorities Demonstrated leadership in aligning diverse teams and driving consensus around product strategies Willingness to travel internationally up to 4 times a year for company events up to two weeks long Additional skills that we value Familiarity with a particular verticals (e.g. Telco, Finance, Industrial, Automotive) Familiarity with the technology ecosystem including Silicon, IHV, ISV, ODM/OEMs, cloud service providers and channel Familiarity with cloud native technologies such as Kubernetes, Docker containers & Snaps Familiarity with embedded and connected device technology and ecosystems Familiarity with networking technologies - ethernet, IPv4 and IPv6, routing, firewalling, overlays such as OVN/OVS, VPNs, SR-IOV, infiniband Familiarity with telco networking - RAN, Core, CPE Experience in leading distributed teams across different time zones Demonstrated ability to foster collaboration and innovation in team settings What we offer you 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 recognise 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 Employee Assistance Program 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 its 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: 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. Canonical’s product management team are technologists who have a passion for delivering products and solutions that help shape market demands while elevating open source software everywhere. This is a general application track for the product management positions at Canonical. You will set a clear vision, prioritize work effectively, and ensure the team delivers high-quality products that meet business and user needs. Apply here if you excel at leadership, communication, and technical vision, and believe you can drive product strategy for the business needs of tomorrow. During the interview process we will identify specific software products which would be a good fit for your interests. We believe that open source is transforming the way that enterprises solve their business needs. Although open source has been around for thirty years, it is only now fundamental to every corner of the software landscape. Going forward we believe open source will have an even bigger impact as it moves into specialised vertical markets. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’, starting with Ubuntu but expanding to cover every class of application on every class of compute. To deliver on that ambition, we select product managers for their intellect and strong drive to advance the open source community. Together, we aim to improve open source quality, outreach, and impact. Our product managers set the vision and the direction to ensure teams deliver the right products in the right markets at the right time. They push the boundaries of the technology landscape to identify and deliver products into new and existing market opportunities. Our product managers are technology professionals with a software engineering background who strive to become business executives and entrepreneurs. We discuss strategy, plan product development, drive engagement, and promote the open source way. We oversee the entire product lifecycle from conception to delivery, blending technical expertise, strategic thinking, analytics, project management skills and effective communication to ensure products meet both user needs and business objectives. We have open product manager roles across a wide range of product domains, including: Ubuntu Platform - Our Ubuntu experience on Desktop, Server, Windows (WSL), Multipass, Gaming, Enterprise, & Hardware Enablement Ubuntu Pro Services - Our key commercial offerings Ubuntu Pro, Compliance, Standards, Security Engineering, and Managed Services on cloud and on prem AI/ML & MLOps - Open source AI/ML solutions, AIOps automation, model lifecycle management, Kubeflow, MLFlow, KServe, and AI infrastructure on cloud and edge IoT - Ubuntu on embedded devices and/or edge servers, device management, and robotics Cloud - Ubuntu in public and private clouds, promoting automation frameworks, and including technologies such as Kubernetes, MAAS, and LXD Telco - Open source for Telco's including technologies and standards related to Core Network, RAN/vRAN, SoNIC, DENT, and SmartNICs Finance - Open source solutions for financial institutions including trading platforms, blockchain technologies, regulatory compliance, and AI-driven analytics Automotive - Open source solutions for autonomous driving, in-vehicle infotainment, connected vehicles, and compliance with automotive industry standards such as ISO 26262 and ISO 21434 Application Management - Open source solutions in the enterprise including Observability, IAM, App Stores and technologies such Grafana, GitOps, and Juju Charms If your domain of expertise isn’t listed above, yet you feel it’s relevant to Canonical, then feel free to apply anyway. We will route you to the most suitable team. Location: These roles are home based in the EMEA time zone. You will be expected to be located in this region. The role entails Lead the product development lifecycle, reviewing the priorities and goals for your product Collaborate with cross-functional teams such as engineering, design, marketing, and sales Address common challenges across projects, align on priorities, enable informed decisions, and keep business execution on track Conduct market research, analyse industry trends, and gather customer feedback to identify opportunities Communicate your product vision, status updates, and key decisions to ensure alignment and manage expectations Conduct usability testing, analyse user feedback, and iterate on the product to improve the user experience Collaborate with marketing, sales, and support teams to develop go-to-market strategies, create product documentation, and provide training Contribute to the success of our sales team in winning new opportunities, reviewing customer feedback and participating in customer meetings Oversee the work of a product line, ensuring consistency in strategy and execution across different teams Facilitate collaboration and resolve conflicts within different teams and across other departments What we are looking for in you Exceptional academic results at high school and university Understanding of Linux and the wider open source software community Understanding of computer architecture, application development, datacenters, cloud or devices Passion to write about technologies and the tech landscape A strong work ethic, and personal interests aligned with the open source movement Curiosity, and the habit of continuous learning A strong sense of ownership Problem solving and the ability to innovate Outstanding communications skills in English, both verbal and written Ability to manage multiple projects or product lines while maintaining focus on key priorities Willingness to travel internationally up to 4 times a year for company events up to two weeks long Additional skills that we value Familiarity with a particular verticals (e.g. Telco, Finance, Industrial, Automotive) Familiarity with the technology ecosystem including Silicon, IHV, ISV, ODM/OEMs, cloud service providers and channel Familiarity with cloud native technologies such as Kubernetes, Docker containers & Snaps Familiarity with embedded and connected device technology and ecosystems Familiarity with networking technologies - ethernet, IPv4 and IPv6, routing, firewalling, overlays such as OVN/OVS, VPNs, SR-IOV, infiniband Familiarity with telco networking - RAN, Core, CPE Experience in leading distributed teams across different time zones Demonstrated ability to foster collaboration and innovation in team settings What we offer you 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 recognise 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 Employee Assistance Program 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 its 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: London; San Francisco; New York; Paris; Toronto; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Advance the state of the art for model post training, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organisational needs. We have all the compute, data, and talent available for you to do your best work. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! Key Responsibilities: - Design and write high-performant and scalable software for training models. - Consistently post-train the models to reach SOTA level performance. - Coordinate with other specialist teams (Agentic, Code…) to produce models that have strong all encompassing performance. - Craft and implement techniques to improve the performance and results of our training cycles both on the SFT and the RL regime. - Research, implement, and experiment with ideas on our supercompute and data infrastructure. - Learn from and work with the best researchers in the field. Qualifications: - Extremely strong software engineering skills. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR. - Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray). - Experience using large-scale distributed training strategies. - Hands on experience on training large model at scale. - Hands on experience with the post training phase of model training, with a strong emphasis on performance optimisation. - Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Warsaw, Mazowieckie, Poland; Limassol, Cyprus; Sofia City, Bulgaria Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. We are a leading trading platform that is expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talent team.    We are currently growing our Backend Team and looking for great Engineers with an interest in trading to join us! Our Engineering team plays a pivotal role in ensuring the robustness, speed, and security of our product. Dedicated to enhancing performance, providing a best-in-class user experience, ensuring compliance, and safeguarding data, the team's efforts directly impact our ability to offer clients a seamless and secure trading journey.   We believe great engineering talent not only delivers excellent code, but also lives our values. We are looking for someone who is eager to go fast, willing to innovate and grow, who knows how to listen, respect and support, strives to exceed client expectations, and takes full ownership to achieve real results. Core responsibilities: Design and build scalable, low-latency, and high-performance backend services Develop distributed and asynchronous systems ensuring reliability and fault tolerance Optimise performance across JVM, databases, caching, and networking layers Apply security best practices in handling client PII and financial transactions Use event-driven architectures and modern messaging solutions (e.g. Kafka) Collaborate with cross-functional teams to align architecture with business needs Maintain high code quality through testing, code reviews, and CI/CD practices Leverage AI tools to accelerate development, testing, and delivery What you will need: Experience & domain knowledge: Proven experience in FinTech, Banking, or related financial domains Strong understanding of distributed systems architecture and the client–server model Ability to design and maintain scalable, low-latency, high-performance systems Solid knowledge of concurrency, multithreading, and asynchronous programming Awareness of security best practices in handling PII and financial transactions Basic understanding of network protocols and troubleshooting Experience working in a product-led fast-paced environment as a team player Technical skills: Java and Spring: Advanced knowledge of Java Core technologies and the Spring framework Data Mastery: Proficiency with SQL databases, ensuring optimal performance, structure, and replication Concurrency & Async programming: advanced understanding and hands-on experience in asynchronous programming methods. Events streaming: Understanding of the event driven architecture (Kafka or similar solutions). Operational Proficiency: Understanding and hands-on experience with Ops activities, Kubernetes, pipelines, Fit Flow and modern CI/CD patterns and strategies AI tools: ability to effectively use AI technologies in engineering work e.g. applying AI for coding assistance, debugging, testing, documentation, and optimisation of workflows Soft skills: Communication: Effective communication skills, especially with teams responsible for security, operations and product Analytical thinking: Ability to tackle and investigate complicated problems and convert it to the task Adaptability to Rapid Changes: Demonstrated capability to adjust to quick technological shifts and evolving business requirements Ownership and Accountability: Readiness to take ownership of tasks, issues as well as demonstrate accountability of the results and outcome Nice to have: Performance : Knowledge of JVM performance optimization practices No-SQL: Experience working with no-SQL databases is a big plus In-memory storage : Strong knowledge of in-memory cache solutions What you will get in return: Competitive salary and annual performance-based bonus Generous annual leave policy Health insurance and pension fund, with additional benefits depending on location Hybrid working model (3 days from office) or fully remote across the country of employment Workation policy (30 days remote from anywhere in the world) Two additional paid days per year dedicated to volunteering What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry. Applicable for Poland: Our company has an Internal Reporting Procedure. It is available from the Human Resources Department upon request hr@capital.com. You may report a violation referred to in the Procedure under the terms specified therein.

Location: London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. Job Summary: As a Senior  AI Solutions Architect at Neo4j, you will drive transformative change by designing, building, and deploying innovative solutions that combine the power of graph databases and AI. You'll work hands-on to develop scalable, production-grade solutions while acting as a trusted advisor to strategic customers, translating complex data challenges into tangible business value. This involves collaborating closely with customer executives and technical leaders to understand their specific needs and then leveraging your expertise in graph technologies, LLMs, and AI orchestration frameworks to develop bespoke, production-ready AI applications grounded in real-world context using Neo4j Knowledge Graphs. Providing hands-on consulting and technical expertise for customer engagements will be central to your role. You'll collaborate with Neo4j's most strategic customers on projects that revolutionize their businesses. You'll also collaborate with key Neo4j cloud partners to deliver joint consulting services, offering technical guidance and best practices. Key Responsibilities: Solution Architecting: You will work with customer technical leads, customer executives, and partners to manage and deliver successful implementations of Graph+GenAI solutions becoming a trusted advisor to decision-makers throughout the engagement. You will propose solution architectures and manage the deployment of Graph+GenAI solutions according to complex customer requirements and implementation best practices. You will work directly with customers to understand their business objectives and translate them into AI-powered solutions that leverage graph databases and LLMs. This includes gathering requirements, understanding existing data landscapes, and identifying opportunities to apply graph-based AI to solve business challenges. You will interact with customer stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful customer outcomes. Solution Engineering: You will develop, test, and deploy production-ready AI applications that integrate graph databases with LLMs and orchestration frameworks. This involves writing production-level code, optimizing for performance and scalability, and ensuring seamless integration with customer systems. Continuously evaluate and improve the performance, scalability, and efficiency of deployed AI applications, incorporating new techniques and technologies as they emerge. Education & Enablement: You will work with other teams at Neo4j (Product and Marketing) to influence the roadmap and provide insights from the field, and package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. You will share your expertise internally with other Neo4j teams and also with customers through workshops, training sessions, and documentation to empower them to effectively utilize, maintain, and reproduce the AI solutions you deliver. Maintain continuous learning and stay up-to-date with the rapidly evolving GenAI landscape, proactively seeking knowledge of new trends and technologies. Required Qualifications: Enterprise Application Development : 5+ years of experience in designing and developing enterprise-class applications, demonstrating a strong understanding of software development lifecycle principles. LLM Proficiency : 2+ years of Experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, and integrating LLMs into applications. Maintain up-to-date knowledge of different LLM providers and their strengths and limitations (e.g., OpenAI’s GPT and O families, Anthropic’s Claude family, Google’s Gemini, xAI’s Grok, as well as open-source LLMs like LLama, DeepSeek, and Mistral). Programming Proficiency : Competence and hands-on experience in at least one of the following languages: Java, JavaScript, Python, or C#. Ability to write clean, maintainable, and efficient code is essential. Deployment and Version Control : Hands-on experience with deployment software on major platforms, such as Linux, Docker, and Kubernetes, and proficiency in source control software, including Git and SVN. Cloud Computing Expertise : Practical experience with cloud platforms (e.g., AWS, Azure, GCP) and demonstrated proficiency in deploying applications within cloud environments. Generative AI Ecosystem Knowledge : Deep understanding of the generative AI ecosystem, including AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning). Data Expertise : Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively with various data types and sources. Experience using big data technologies (e.g. Hadoop, Spark, Hive) and database management systems (e.g. SQL and NoSQL). Graph Database Expertise : Deep understanding of graph database concepts, data modeling, and query languages (e.g., Cypher). Demonstrate hands-on experience with graph databases (e.g., Neo4j, Neptune, TigerGraph) or triple stores (e.g., Ontotext, Stardog). Communication and Collaboration Skills : Excellent communication and interpersonal skills to effectively collaborate with customers and internal teams, fostering strong working relationships. Problem-Solving and Analytical Abilities : Strong analytical and problem-solving abilities to address complex technical challenges and design effective AI solutions. You will have the ability to travel up to 50% of the time for customer engagements. Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Prague, Czech Republic; 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. Token Factory is a part of Nebius Cloud , one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens. In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets. Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about. If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story. 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: Minsk; Chișinău Workplace: onsite IDT is looking for a professional who'll help our Engineering Teams build and deploy code better,  faster and secure.   In this role you will:   - Support, maintain and upgrade Kubernetes clusters, Jenkins, SonarQube, Artifactory solutions and other related infrastructure and tools. - Use Infrastructure-as-Code tools such as Terraform, CloudFormation, AWS CDK, etc. - Implement and test High Availability, Fault Tolerance, Backup and Disaster Recovery strategies, Monitoring and Alerting - Provide support to global development and infrastructure teams, troubleshooting CI/CD pipelines and deployments. - Identify and address issues, including cost and security in both AWS and on-premises environments. Our perfect colleague has: Experience with Jenkins, Groovy, Docker, Kubernetes, and AWS services Proficient in at least one Infrastructure-as-Code tool (Terraform, CloudFormation, AWS CDK, etc). Good understanding of Linux and Windows operating systems. Scripting and automation skills. Exposure to SRE (Site Reliability Engineering) principles, DSD (Disaster Recovery, Security, and Documentation) Problem-solving and analytical skills, ability to communicate effectively and collaborate with diverse teams Good level of English – B2 or higher. It would be an advantage to have: Experience with the following technologies: SonarQube, Vault, Consul, Grafana, Prometheus, Alert Manager, Zabbix, AWS stack. Familiar with GitHub API Our benefits: Modern offices with free parking in the very center of Minsk or Chisinau. Onsite or hybrid work opportunity. Really good hardware. An exciting and challenging job with talented people around. Great learning and growth opportunities. Compensation for professional training, seminars, and conferences (Moldova DevCon). First-class English lessons. More perks for the Minsk and Chisinau office full-time employees. A few words about us:   IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.    IDT is not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.   Our flagship brand, Boss Revolution, offers Money Transfer, International Calling, and Mobile Top-Up services and supports IDT’s mission of enabling people to keep in touch and share resources with family and friends worldwide.

Location: München, Germany Unser Partner, ein IT-Dienstleistungsunternehmen, sucht einen Junior Java Entwickler (m/w/d). Über das Unternehmen: Werden Sie Teil eines führenden Unternehmens im Bereich digitaler Versicherungslösungen, das für innovative Technologien und nutzerfreundliche Services bekannt ist. Verantwortlichkeiten: Mitarbeit an der agilen Entwicklung von Softwarelösungen in einem unserer Entwicklerteams Entwicklung neuer Funktionen und Produkte in direkter Abstimmung mit dem Produktteam Weiterentwicklung sowie Mitgestaltung unserer automobilbezogenen Systeme Eigenverantwortliche Betreuung technischer und/oder inhaltlicher Aufgabenbereiche Nutzung Deiner aktuellen Programmierkenntnisse und der Wunsch, diese kontinuierlich auszubauen Das bringen Sie mit: Du hast ein Informatikstudium abgeschlossen oder eine vergleichbare Ausbildung, z. B. als Fachinformatiker*in für Anwendungsentwicklung, erfolgreich beendet. Idealerweise konntest Du bereits erste praktische Erfahrungen in der Java-Programmierung sammeln und hast eventuell schon mit dem Spring Framework gearbeitet. Grundkenntnisse in Bereichen wie Kubernetes, Docker, REST-Schnittstellen, Datenbankmanagement, Webentwicklung, Softwarearchitektur oder Tools wie Jenkins, Git und Gradle sind von Vorteil. Fließende Deutschkenntnisse (mindestens C1) Vorteile: Anspruchsvolle und abwechslungsreiche Tätigkeiten in einem modernen IT-Umfeld mit vielen Entwicklungsmöglichkeiten Individuelle Weiterbildungsmöglichkeiten und Karriereentwicklung Flexible Arbeitszeiten und hybrides Arbeitsmodell (vier Tage vor Ort, ein Tag remote) Attraktive Zusatzleistungen wie betriebliche Altersvorsorge, Zuschüsse zu Sportprogrammen und Jobrad-Leasing Kostenfreies Deutschlandticket für den öffentlichen Nahverkehr sowie tägliches kostenloses Mittagessen im Büro Relocation aus dem Ausland ist möglich. Wir kümmern uns um Ihr Visum, Aufenthaltstitel, Wohnungssuche etc. Auch Ihre Familienmitglieder (Ehepartner und Kinder unter 18 Jahren) erhalten ein Visum. Wenn Sie interessiert sind und glauben, die Anforderungen als Java Entwickler (m/w/d) zu erfüllen, freuen wir uns auf Ihre Bewerbung mit Ihrem Lebenslauf!

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Team The Middleware team is committed to pushing the ultimate optimization of existing technologies but also continuously exploring frontier technologies and innovations, striving to lead industry changes. Our projects cover multiple fields such as microservice governance, RPC frameworks, MQ messaging middlewares, and data middlewares, providing solid technical support for the company's business. We advocate an open, sharing, and cooperative cultural atmosphere, and we look forward to pushing the frontier of technology for the organization. What You’ll Be Doing Responsible for the overall architecture design and optimization of microservice governance frameworks (e.g., SpringCloud), RPC frameworks, MQ messaging middlewares (e.g., Kafka), and data middlewares (including RDB databases such as MySQL, NOSQL such as Redis, Elastic Search, etc.). Conduct in-depth research and select appropriate technical solutions, driving the selection and implementation of middleware technologies to ensure high availability, scalability, and security of the system. Proficient in microservices frameworks such as Spring Boot and Spring Cloud, responsible for customized development and performance tuning of the frameworks. Deep understanding of RPC communication mechanisms and the working principles of message queues, optimizing message transmission efficiency and resolving data consistency issues in distributed systems. Combine business requirements to design efficient data storage solutions, optimizing data access performance and cost. Responsible for the integrated deployment, monitoring and alerting, troubleshooting, and emergency response of middleware systems, improving operational efficiency and system stability. Keep abreast of industry trends, introduce new technologies and concepts, and promote team technical capabilities. What We Look For In You Bachelor's degree or above in Computer Science or a related field, with a solid foundation in computer science. Over 6 years of software development experience , with at least 4 years of experience in middleware or distributed system architecture design, and successful cases of large-scale project or complex system architecture design. Proficient in microservice architecture design and implementation, familiar with RPC frameworks such as Spring Cloud and Dubbo, as well as messaging middlewares like Kafka and RabbitMQ. Deep understanding of the design and optimization of NoSQL databases such as Redis and MongoDB, as well as relational databases like MySQL. Familiar with the use and optimization of search engines such as Elastic Search. Practical experience with configuration centers such as Nacos and Apollo, as well as containerization technologies like Kong API Gateway and Kubernetes (K8S). Understanding of distributed coordination services such as etcd and Zookeeper, and have some understanding and practical experience in cutting-edge technologies such as ServiceMesh, Sidecar, and eBPF. Possess top-level design capabilities for complex systems, able to independently complete the entire process from requirement analysis to technical solution design. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

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 Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. About the role As a Research Engineer on our team you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines. Join us in our mission to develop advanced AI systems pushing the frontiers of science and benefiting humanity. Responsibilities: Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI. Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows Collaborate to translate experimental requirements into production-ready infrastructure Develop large scale data pipelines to handle advanced language model training requirements Optimize large scale training and inference pipelines for stable and efficient reinforcement learning You may be a good fit if you: Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems Are a strong communicator and enjoy working collaboratively Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale Have proven track record of building large-scale data pipelines and distributed storage systems Excel at diagnosing and resolving complex infrastructure challenges in production environments Can work effectively across the full ML stack from data pipelines to performance optimization Have experience collaborating with other researchers to scale experimental ideas Thrive in fast-paced environments and can rapidly iterate from experimentation to production Strong candidates may also have: Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.) Background in building infrastructure for AI research labs or large-scale ML organizations Knowledge of GPU/TPU architectures and  language model inference optimization Experience with cloud platforms (AWS, GCP) at enterprise scale Familiarity with VM and container orchestration. Experience with workflow orchestration tools and experiment management systems History working with large scale reinforcement learning Comfort with large scale data pipelines (Beam, Spark, Dask, …) 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: Home based - Worldwide 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 an Enterprise Customer Success Manager at Canonical Customer success is a new and strategic department at Canonical, with the objective of reducing risk and churn, facilitating the adoption of new products or services, and supporting expansion within existing accounts. Customer Success Managers (CSM) are responsible for developing trust with their assigned customers and providing them with the best possible experience navigating Canonical's vast offering. By clearly understanding their customers’ objectives, the CSM can align expectations, suggest a large range of additional services or product capacity to increase loyalty, alleviate any pain points, and help draw and deliver on an appropriate collaboration roadmap. We are growing our Customer Success team to continue to offer thoughtful, smart, precise interactions across our product portfolio, from Ubuntu to open-source infrastructure and applications. To provide the  appropriate level of focus for every customer, CSMs are specialized in one of the following segments: Mass - SMEs or large businesses starting their journey with Canonical Focus - Large companies with established ARR Step Growth - a selection of high-potential customers All CSMs contribute to business support at the company level for all remaining, not-yet-assigned customers (Tech segment), including our Store customers. Location: This role will be based remotely. What your day will look like Onboard new customers and introduce them to our products and support processes. Products include: Ubuntu Pro, MAAS, Landscape, Openstack, Ceph, Kubernetes, data applications and many more. Elaborate and coordinate complex projects in interaction with developers, IT managers and decision makers from various industries. Collaborate with Sales, Field Engineering and Support in developing and delivering engagement plans that fulfill the customer's objectives. Manage a portfolio of customers in a specific geographic region and identify growth opportunities or renewal risks in coordination with Sales. Experience running a disciplined, weekly customer and business review process with cross-functional teams, identifying and prioritizing blockers, and driving resolution through corporate product and engineering teams Serve as a customer advocate internally and influence Canonical products roadmaps, Canonical websites, documentation, processes and people to improve customer satisfaction and retention. Supporting customers through reactive ticket requests. Create campaigns targeting multiple customers through digital touch-points and activities. What we are looking for in you The ideal candidate would display impeccable customer-facing skills with a passion for cloud and data centre infrastructure technologies. We are also looking for: Minimum 5 years of work experience with a strong relation to IT and with exposure to projects related to at least one of these topics: Linux OS, data applications, storage, cloud computing, networking, security,  migration, IoT. Excellent presentation skills with the ability to guide a conversation about complex software. Experience building and improving internal processes while maintaining timely delivery to customer-related projects. A true team player capable of interacting with all departments and at all levels, both internally and externally. Knowledge of agile methodologies. We at the Customer Success team strongly appreciate various languages! Therefore, if you possess proficiency (both written and spoken) in Spanish and Portuguese alongside an excellent command of English, please inform us! Additional skills that you might also bring Experience with Salesforce, Jira and CRMs is a big plus! 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: 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 Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows. About the role As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities: Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery Scaling research ideas from prototype to production Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use Implement distributed training systems and performance optimizations to support large-scale model development You may be a good fit if you: Have 8+ years of ML research experience Are familiar with large scale language model training, evaluation, and inference pipelines Enjoy obsessively iterating on immediate blockers towards longterm goals Thrive working collaboratively to solve problems Have expertise in performance optimization and distributed computing systems Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems Can translate research concepts into scalable engineering solutions Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems Strong candidates may also have: Expertise with performance optimization for language model inference and training Experience with computer use automation and agentic AI systems A history working on reinforcement learning approaches for complex task completion Knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale Demonstrated ability to work across multiple domains (language modeling, systems engineering, scientific computing) Have experience with VM/sandboxing/container deployment and large-scale data processing Experience working with large scale data problem solving and infrastructure Published research or practical experience in scientific AI applications or long-horizon reasoning 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: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As an Associate Trade Support Engineer , you’ll have the opportunity to learn and grow while supporting our trading technology. You’ll work closely with trading, infrastructure, and software development teams to keep systems running smoothly. You’ll gain experience working with exchanges, traders, and developers to help resolve technical issues and assist with ongoing improvements. As markets evolve toward 24×7 trading, we’re expanding coverage to ensure our systems run smoothly during high impact periods that extend beyond the traditional Monday–Friday schedule. In this role, you’ll have the opportunity to work a non-traditional 5-day shift, depending on what best fits your schedule. This flexible coverage model allows you to make a critical impact during peak trading hours while enjoying off days during quieter parts of the week. Qualifications & Skills: 1–3 years of experience in trade support, systems administration, site reliability engineering, or a related technical role (internships or projects count!) Bachelor’s degree in Computer Science, Engineering, or related STEM field Basic understanding of networking concepts (TCP/IP, DNS, DHCP) and ability to use common troubleshooting tools Exposure to containerized applications (e.g., Docker, Kubernetes) is a plus Ability to think through and troubleshoot technical problems under time pressure Clear communication skills, written and verbal Familiarity with scripting languages (e.g., Python, Bash, PowerShell) for basic automation tasks Experience with Linux/Unix environments (basic command line skills) What You’ll Be Working On: Keeping trading systems healthy and available by proactively spotting and resolving potential issues Responding to trader and engineer request with both urgency and understanding of the bigger operational context Participating in the onboarding of new desks and systems, thinking ahead about how they’ll fit into the broader ecosystem Learning the trading environment deeply so you can anticipate challenges and suggest improvements What we Value: Intent over Instruction: we’ll share what we’re trying to achieve; you’ll help determine the best way to get there Responsibility and trustworthiness: you follow through and communicate progress and results clearly Continuous learning and adaptability: when conditions change, you adjust while keeping the mission in mind Collaboration: you seek input when needed but are comfortable making informed decisions yourself About You: You enjoy diagnosing problems and thinking creatively about solutions You’re excited about fast-moving environments and want to see your work make an impact quickly You learn by doing and feel comfortable diving into unfamiliar technology Schedule : The shift will be Sunday-Thursday OR Tuesday-Saturday. This position will require working on weekends and providing holiday coverage as needed by the department. The orientation schedule will vary between 09:00-18:30 and 15:00-23:00. After orientation, the permanent shift will be 08:00 – 17:00. The annual base salary range for this position is $85,000 - $125,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-TL