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Location: Remote As an IT Compliance Manager , you will conduct in-depth evaluations of our technological infrastructure to ensure compliance with financial market regulations and data protection standards. This role entails a strong understanding of regulatory environments, meticulous attention to detail, and the capability to sustain high-performance levels in a quantitative trading context. We're looking for a dedicated professional who demonstrates high autonomy and accountability, someone who reliably completes tasks, proactively identifies and addresses compliance issues, and swiftly integrates into the dynamic rhythm of our organization. WHAT YOU'LL BE DOING: Project Leadership and Delivery Lead major compliance projects such as: ICT implementation reviews and compliance sign-offs Implementation of new regulatory requirements across specific markets or asset classes Compliance integration for new market access or trading venues Manage project timelines, resources, and stakeholder expectations Define project scope, deliverables, and success metrics Coordinate cross-functional teams to ensure successful project implementation ICT Implementation and Technology Compliance Lead compliance oversight of ICT implementations and technology projects Review and approve technology changes from a compliance perspective Monitor compliance with regulatory technical standards (e.g., MiFID II RTS 6 algorithmic trading requirements) Collaborate with technology teams to embed compliance controls in system architecture Oversee compliance aspects of system development lifecycle (SDLC) Ensure proper documentation and audit trails for all technology implementations Regulatory Expertise and Incident Management Stay updated on global regulatory standards and adapt strategies as necessary for each jurisdiction Act as a compliance liaison for technology and trading teams Participate in and respond to regulatory examinations and inquiries Present compliance metrics and project updates to stakeholders WHAT WE LOOK FOR IN YOU: Education and Certifications Bachelor’s degree in Computer Science, Information Technology, or related field (Master’s or JD preferred) Relevant professional certifications (e.g., ITIL 4, ISO/IEC 27001, CISA, CRISC) Demonstrated experience in technology compliance and ICT implementation oversight Technical Knowledge Strong background in technology compliance, including: ICT governance and control frameworks Algorithm development and testing requirements System change management processes Technology audit and compliance testing Experience with order types, market data, and execution venues Knowledge of regulatory technical standards for electronic trading Skills and Competencies Proven ability to interpret complex regulations and apply them to HFT operations Strong project management skills with experience leading complex, cross-functional initiatives Excellent analytical and problem-solving abilities Outstanding written and verbal communication skills Ability to work both independently and collaboratively within a team environment Experience managing multiple projects and priorities simultaneously Strong stakeholder management and influencing skills NICE-TO-HAVE: Previous experience at a proprietary trading firm or HFT-focused organization Technical certifications (CISA, CISSP) or technology audit experience Experience with DevOps compliance and continuous integration/deployment environments Knowledge of cloud infrastructure compliance requirements Programming skills (Python, SQL) for data analysis and surveillance WHY YOU SHOULD JOIN OUR TEAM? Great challenges with fast feedback loops A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary

Location: Bucharest, Romania Recruitment & Onboarding: - Manage the end-to-end recruitment process, including the development of recruitment strategies, job postings, candidate sourcing, screening, ︁︀​︂︃︃​︇︉​︆︄interviewing, and reference checks. - Help organize and attend recruitment events, providing logistical and administrative support to enhance talent acquisition efforts. - Enhance the onboarding experience by assisting in developing structured orientation programs, integrating feedback loops to continuously improve processes. Employee Recognition & Engagement: - Act as a point of contact for employee inquiries related to HR related matters. - Support managers in addressing employee performance and conduct issues. - Assist in creating initiatives to improve employee engagement and workplace culture. - Help collect and manage employee feedback through surveys and assist with follow-up actions. Benefits Administration: - Assist with benefits enrolment processes and coordinate with third-party benefits providers. - Provide administrative support in gathering data for compensation benchmarking and assist HR leadership in reviewing compensation structures. HR Compliance & Risk Management: - Ensure compliance with local labour laws and regulations. - Maintain and update employee records according to company policies and legal requirements. - Assist in conducting regular audits of HR policies and procedures. Benefits: Medical subscription Trainings Courses Extra days off Flexible work schedule Team buildings / trips Parties / company events Meal vouchers

Location: London, Singapore Selini Capital - Job Description Role: Quantitative Researcher Location: London, Singapore Working Pattern: Office-Based About Selini: Selini is a global trading firm focused on systematic trading and venture investing, all within the digital assets space. The Role: Selini Capital is seeking a highly analytical and technically gifted Quantitative Researcher to join our high-frequency trading team. In this role, you’ll focus on refining features, designing better models, and advancing core research pipelines. You’ll collaborate closely with other researchers and engineers to push the boundaries of what’s possible in highly competitive electronic markets. The ideal candidate is a curious, rigorous thinker with a strong technical foundation and a bias toward empirical validation. You enjoy working with data, building systems to understand it, and using that understanding to drive performance. Responsibilities: As a Quantitative Researcher, you will: Design, test, and refine features and model architectures to improve prediction and execution performance Develop and improve research pipelines and tools for large-scale strategy simulation and optimization on a cutting-edge compute cluster Conduct deep-dive analyses of market data, live strategy behavior, and model outputs to guide iterative improvements Stay up-to-date on advances in quantitative methods, ML, and optimization applying new insights to real-world challenges Why This Role Is Unique: Research First - This role is research-heavy you’ll be focused on signal improvement, model fidelity, and hypothesis generation, not plumbing infrastructure or devops. Breadth and Depth - You’ll work at every level of the alpha stack: from feature design and statistical modeling to optimizer tuning Direct Feedback Loop - We deploy and iterate quickly. Your work will feed directly into live strategies and have measurable real-world impact World-Class Environment - Join a high-talent, low-ego team with experience across elite trading firms, olympiads, and academic research Core Qualifications: 1–5 years of experience in quantitative research, applied ML, or statistics Fluency in Python and/or C++, with the ability to translate research concepts into performant, production-ready implementations Strong knowledge of algorithms, linear algebra, statistics, and optimization techniques Ability to uncover meaningful structure in noisy, high-frequency market data — from alpha signal extraction to modeling order book behavior Can take research ideas from concept to experimental evaluation with minimal supervision Signals of Excellence: Track record of PNL generation using model-driven strategies Outstanding academic record in a quantitative field Strong performance in competitive programming or quantitative olympiads Company Culture & Team Fit: We’re a close-knit team that values: High ownership and initiative Curiosity, intellectual honesty, and rapid learning Clear, direct communication Working together toward shared goals no ego, no politics We hire people who love building, solving, and improving and who want to learn from and contribute to a team of exceptional peers. Compensation & Benefits: Very competitive compensation, with strong upside based on contribution and performance Competitive holiday allowance Pension contribution and medical cover Free daily Deliveroo lunch High-spec office and technology Team socials Global company offsites and development opportunities

Location: Bucharest, Romania About Us: Imagine Live Romania, part of the Digitain Group, specializes in live gaming and streaming worldwide. With a fresh take on live dealer games and premium game show-style content, we deliver top-tier entertainment in a professional, dynamic environment. We are committed to growth, development, and excellence in the gaming industry. Description: Our Game Presenter position is perfect if you do love the entertainment industry and would like to discover it for you. We are looking for candidates with smiling faces and excellent customer service skills who will happily assist people to have a good time with us. You will be responsible for managing and operating table games. In addition, you will supervise players, react to chat inquiries. Shifts: 06:00-14:00 14:00-22:00 22:00-06:00 Responsibilities: Communicate with players from different countries around the world Ensure games are dealt according to the procedure, as per training Answering customers' questions in real-time via live chat Enjoy the experience of presenting our games to the players Requirements: Enjoy working as part of a close & friendly team Willingness to discover gaming industry, such as rules of the games Ability to work with the cameras in the studio Proficient in English/Greek/Italian and willing to further improve via in-house training Be a natural communicator and with a smile on your face at all times Benefits: Meal vouchers (30 lei per day) Private medical insurance Birthday leave Free of charge, coffee/tea

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will support one of these areas while contributing across others, with your focus shaped by your strengths and the team's priorities. Responsibilities: Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies. Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement Identify and remediate security gaps through code review, threat modeling, and hands-on debugging Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation You may be a good fit if you have: At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production Bachelor's degree in Computer Science or equivalent industry experience Strong programming skills in Python or at least one systems language such as Go or Rust Experience contributing to cloud security controls A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix Clear communication skills and the ability to work collaboratively across engineering teams Low ego and high empathy, with a genuine interest in helping teammates succeed Passion for AI safety and the role security engineering plays in building trustworthy AI systems Strong candidates may also have: Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers Experience with cloud security posture management tooling, infrastructure-as-code security scanning, or automated remediation Experience with network security and isolation techniques including east-west controls, traffic inspection, and cloud network policy Experience with eBPF for security monitoring and enforcement, or developing kernel security policies Experience building secrets management or workload authentication systems, including familiarity with protocols such as OAuth 2.0, OIDC, SAML, or SPIFFE/SPIRE Background building or operating security systems in environments that support research workflows and rapid iteration Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol, Cyprus We are looking for a Data Governance Analyst to join our team.RequirementsBusiness Metrics & Data Governance: experience documenting and standardizing business metrics, KPIs, business glossary, and business logic to establish a single source of truth across the organization.Data Quality: hands-on experience translating business requirements into measurable Data Quality rules and implementing automated validation using Great Expectations, Soda, dbt Tests, or similar frameworks.SQL & Python: strong SQL and Python skills for data validation, automation, framework development, and root cause analysis of data quality issues.Metadata Management: experience with data catalog and metadata management platforms (OpenMetadata, DataHub, or similar) to maintain metadata, lineage, and documentation.Data Governance Principles: solid understanding of Data Governance, Data Stewardship, Data Lineage, Metadata Management, and Data Lifecycle Management to support scalable governance practices.AI: practical experience using AI tools to automate workflows, improve productivity, and enhance data analysis and documentation processes.Nice to haveExperience with streaming technologies (Kafka, Spark, Flink).Experience with orchestration tools (Airflow, Dagster) and CI/CD.Experience with semantic/metrics layer tools (dbt Semantic Layer, Cube, LookML).Knowledge of data privacy and security standards (GDPR, CCPA).Previous experience in iGaming or FinTech.ResponsibilitiesDefine and standardize business metrics, KPIs, and business glossary together with stakeholders to ensure consistent business definitions across the company.Drive Data Governance adoption by introducing standards, best practices, and governance processes across data domains.Design and develop the company's Data Quality framework, including validation rules, monitoring, and quality standards to improve data reliability.Implement and maintain automated Data Quality checks and anomaly detection to proactively identify and resolve data issues.Build and manage the data catalog, metadata, and data lineage to improve data discoverability and transparency.Collaborate with Data Engineers to integrate Data Quality controls into data pipelines and investigate data inconsistencies across systems.We offer:High salary (plus performance bonuses and salary revision);Work schedule: Mon-Fri (9h with 1h lunch break), flexible start 8:00-10:00;24-days holiday leave;First line seaview from your office;Corporate English and Greek lessons;GYM and SPA in the office;Corporate meals;Eventful corporate life;Exciting work challenges that allow you to grow to your full potential;Strong team of like minded professionals who will be by your side to accomplish ambitious projects, and to stimulate your professional development and bring experience.

Location: Paris; London; New York; Toronto; Montreal Workplace: Remote 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: The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale, distributed RL methods. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. While tasks are assigned according to everyone’s expertise, there is a global team effort to write production code and support the team research efforts, depending on individual interests and organizational needs. In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling distributed RL to unprecedented levels. Please Note: We have offices in London, Paris, Toronto, San Francisco, New York but we are also remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00. Key Responsibilities: - Design and write high-performing and scalable software for training models. - Develop new tools to support and accelerate research and LLM training. - Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem. - Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime. - Research, implement, and experiment with ideas on our cluster and data infrastructure. - Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams! Qualifications: - Extremely strong software engineering skills. - Value test-driven development methods, clean code, and strive to reduce technical debts at all levels. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR. - Experience using and debugging large-scale distributed training strategies (memory/speed profiling). - [Bonus] Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray). - [Bonus] Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance. - [Bonus] Experience in ML, LLM and RL academic research. This role is perfect for you if you: - Have a deep passion for quality work. - Enjoy tuning and optimising large LLM models. - Comfortable working with people with different levels of software engineering skills, from beginner to more advanced. - Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems. - Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions. 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: Riyadh, Saudi Arabia Müller's Solutions is seeking a talented Data Engineer with expertise in Talend to join our growing team. As a Data Engineer, you will play a critical role in building and maintaining data pipelines that enable seamless data integration and processing across various systems. You will work closely with data analysts and data scientists to ensure that data is accessible, reliable, and structured for analysis. Responsibilities: Design, develop, and maintain ETL processes using Talend to extract, transform, and load data from various sources. Collaborate with stakeholders to understand data integration requirements and ensure data is delivered accurately and on time. Implement data quality checks and validation procedures to maintain data integrity. Optimize data pipelines for performance and scalability, ensuring efficient data processing. Monitor data flow and resolve any issues related to data processing or quality. Document data architecture, ETL processes, and data lineage to enhance knowledge sharing within the team. Stay updated on best practices and advancements in data engineering, Talend, and related technologies. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer, with a strong focus on Talend. Expertise in ETL design and implementation using Talend data integration tools. Solid understanding of database management systems, SQL, and data warehousing concepts. Experience with data modeling and database design best practices. Strong analytical and problem-solving skills, with attention to detail. Familiarity with cloud data solutions (e.g., AWS, Azure) is a plus. Excellent communication skills for collaborating with cross-functional teams and stakeholders. A self-starter with the ability to work independently as well as part of a team. Knowledge of data governance and data security practices. 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: Riyadh, Saudi Arabia Müller’s Solutions is on the lookout for a Business Intelligence Engineer with expertise in Qlik and Qlik Sense. In this pivotal role, you will be responsible for designing and implementing BI solutions that provide strategic insights across the organization. You will collaborate with cross-functional teams to understand their data needs and create reports, dashboards, and analytical applications that enable data-driven decision-making. Responsibilities: Design, develop, and maintain Qlik and Qlik Sense dashboards and reports that meet user requirements. Work closely with stakeholders to gather and analyze business requirements for BI solutions. Transform raw data into meaningful insights by extracting, cleaning, and organizing data from multiple sources. Implement data models that support efficient querying and reporting. Optimize performance of existing dashboards and reports, ensuring they are user-friendly and accessible. Stay updated on best practices and advancements in BI technologies and Qlik tools. Provide training and support to users to enhance their understanding of BI tools and data literacy. Collaborate with IT to ensure data integrity, security, and proper governance protocols are maintained. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Business Intelligence Engineer, specifically with Qlik and Qlik Sense. Strong proficiency in data visualization and reporting using Qlik tools. Experience with SQL and data extraction from relational databases. Proficient in data modeling and ETL processes. Excellent analytical and problem-solving skills to translate complex data into actionable insights. Strong communication skills to effectively convey technical concepts to non-technical stakeholders. Ability to work collaboratively across teams and prioritize tasks in a fast-paced environment. Understanding of data governance principles and best practices. Familiarity with other BI tools and technologies is a plus. 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: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Our L3 Support Line is the datacenter center of expertise for servers, GPU platforms, firmware (BIOS and BMC) and deep Linux diagnostics across Europe and the US, and it is growing. This position owns the L3 knowledge system: the documentation standard, the SOP and runbook library, the error catalog and the review cycle that keeps them true. You are an engineer who writes, not a writer who has learned some engineering. You sit in on L3 investigations, capture what was found and turn it into procedures L1 and L2 technicians can follow safely. You do not carry the ticket queue; your week is documentation. Our principle: a problem is not solved until the runbook or SOP is updated. Your responsibilities will include: Own the L3 knowledge system (Primary Focus) * Own the documentation standard used by all L3 teams: templates, quality bar, ownership, approval workflow and review cycles. * Build and maintain the SOP, runbook, troubleshooting guide and error-code library for GPU platforms, server hardware, firmware, out-of-band management and Linux diagnostics. * Prioritize by incident frequency, impact, risk and recurring L1/L2 escalations, and keep the library findable and linked. * Run reviews after platform changes, firmware releases and incidents; manage draft, approved, deprecated and archived states. Turn investigations into procedures * Join L3 and RnD investigations to capture symptoms, root causes, evidence, resolutions and preventive actions. * Write repeatable procedures with prerequisites, warnings, decision points, expected output, rollback and escalation conditions. * Resolve missing or conflicting information with the engineers involved before publishing. Write and test for L1, L2 and L3 * Layer the content so L1 gets exact steps and safeguards while L3 can reach the deeper diagnostic detail. * Validate procedures end to end, have L1 and L2 technicians run them without coaching, and fix what makes them hesitate. * When escalations recur, check whether the documentation is wrong, hidden, unclear or incomplete. Platform readiness and hands-on * Produce the documentation package for each new hardware platform before it enters production support. * Travel to datacenters to observe procedures as they are really run and capture knowledge after incidents. We expect you to have: * Strong hands-on experience with datacenter servers and Linux troubleshooting. * Working knowledge of server hardware, BIOS/BMC firmware and out-of-band management (IPMI, Redfish or similar). * A record of writing runbooks, SOPs or troubleshooting guides that operations teams actually used. * Strong working knowledge of Atlassian Confluence; this is a must. * Clear, structured written English for readers at different technical levels. * The judgment to separate verified fact from assumption and push back on unclear input. * Fluent English (written and spoken) and willingness to travel. It will be an added bonus if you have: * Familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux log correlation). * Experience with ipmitool and Redfish workflows and firmware lifecycle. * Scripting skills (bash and basic Python) for log collection. * Experience with documentation-as-code or Git-based workflows. * Exposure to OCP-based platforms and ODM ecosystems. What success looks like * L1 and L2 resolve more issues safely without escalation. * Recurring incidents produce measurable improvements to the knowledge base. * New platforms enter production with complete documentation. * Operational knowledge no longer depends on one engineer or an undocumented conversation. 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: Kansas - Remote; Missouri - Remote; Nebraska - Remote; North Carolina - Remote; South Carolina - Remote; Texas - Remote Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Olsson is seeking a Project Mechanical Engineer to join our Federal Engineering and Design Team, where you’ll lead mechanical system design for high-impact federal infrastructure projects. These include VA hospitals, DoD facilities, medical centers, and other government buildings that serve veterans, military personnel, and federal agencies. You’ll be part of a multidisciplinary team delivering efficient, sustainable, and code-compliant mechanical solutions that meet federal standards and improve lives. This role offers the opportunity to lead projects from concept through construction, mentor junior engineers, and contribute to Olsson’s growing federal portfolio. Key Responsibilities As a Project Mechanical Engineer, you’ll be responsible for: Lead mechanical design efforts for federal, healthcare, and institutional facilities, including HVAC, plumbing, and medical gas systems. Prepare detailed engineering documents, cost estimates, and design calculations. Ensure all designs meet VA standards, UFC, IBC, ASHRAE, NFPA, and other applicable codes and guidelines. Coordinate with architects, other engineering disciplines, and federal stakeholders to ensure seamless integration of mechanical systems. Manage project schedules, budgets, and deliverables. Lead internal design reviews and quality control processes. Participate in client meetings, site visits, and stakeholder presentations. Build strong relationships with federal clients and partners. Support business development efforts by contributing to proposals, scopes of work, and federal RFP responses. Provide guidance and technical support to junior engineers. Foster a collaborative and growth-oriented team environment. Preferred Qualifications We’re looking for candidates who bring technical excellence, leadership, and a passion for federal service: Bachelor’s or Master’s degree in Mechanical Engineering. PE license (required). 6+ years of experience in mechanical design, with strong preference for VA, DoD, or healthcare facility experience. Proficiency in Revit, AutoCAD, and HVAC design software. Familiarity with VA design standards, federal project delivery processes, and commissioning protocols. Strong communication skills and experience coordinating multidisciplinary teams. Ability to manage multiple projects and prioritize tasks in a fast-paced environment. Why Join Us Contribute to projects that serve veterans, military personnel, and federal agencies. Choose from remote, hybrid, or in-office arrangements that support your lifestyle and productivity. Join a team that values mentorship, innovation, and shared success. We celebrate wins together and learn from challenges. Advance your career through leadership roles, technical training, and exposure to high-profile federal clients. Enjoy competitive compensation, comprehensive benefits, and a workplace culture that puts people first. #LI-HH1 Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - Ontario, Canada Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Warsaw, Poland Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! The Mobile QA Engineer will have the chance to work closely with the teams of Software Development and Product Management to compose and perform various manual tests on existing mobile functionalities and future software features, using Agile Methodologies and cutting-edge tools and technologies. Join a high-caliber team and contribute to its success with your passion, hard-work and positive attitude. About Tickmill Founded in 2014, Tickmill has grown into a global financial services group of 300+ people, with regulated entities across major jurisdictions and a client base built on trust in active trading, spanning CFDs, Futures and Options. That foundation: capital, licensing, infrastructure and an established international client base ,is what makes the next stage possible: building genuinely new product lines in Stocks, ETFs, Investing, Wealth and Prediction Markets, aimed at a much larger consumer audience than our existing trading business alone. What does the job look like? The Mobile QA Engineer will have the opportunity to: Identify test patterns and develop the testing plan. Write and maintain clean, efficient, and reusable test cases. Conduct peer reviews of test plans to ensure quality and adherence to best practices. Execute test procedures and/ or scripts either manually or by automated tools. Regularly update and maintain test documentation to keep it up to date with changes in the application. Work closely with developers, manual and automation testers, product managers, and other stakeholders to ensure alignment on project goals and deliverables. Identify risks related to testing and implement mitigation strategies to ensure test reliability. Keep abreast of current testing methodologies while working autonomously to update tools, skills, and techniques. What will you need to be able to do the job? Minimum 2 years of previous work experience in Software Quality Assurance. Hands on experience testing native mobile applications for both Android and iOS. Familiar with adb, Android Studio, Xcode. Knowledge of Software QA Methodologies. Experience in defining acceptance criteria. Excellent command of English language. Computer Science or other relevant College or University Degree. Experience in writing clear, concise and comprehensive test plans and test cases. Knowledge of test management software (i.e. TestRail, Zephyr) and tracking tools like JIRA/Confluence. Excellent team play skills and positive can-do attitude. Hands-on experience with both white box and black box testing. Good analytical and planning skills. An ability to work with short deadlines and under pressure. It will be considered as a plus if you have: Experience with Test Automation Software (Cucumber, Selenium). Mobile Automation using Appium or similar tools. Experience with setting up device farms for mobile testing. Previous experience within FX Industry on a similar IT field or an ISTQB certificate. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience. Opportunities to learn and grow through our “ Employee Training & Development program”. Medical Insurance Cover. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Birthday and Loyalty benefits . What to expect from our recruitment process: First interview with hiring managers or an HR call Psychometric test Technical Interview or home assignment Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis

Location: Warsaw, Poland Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! We’re looking for a talented Quality Assurance Engineer to join our dynamic team of manual and automation testers. In this role, you’ll focus on designing and executing high-quality test scenarios — both manual and automated — while improving and maintaining existing test coverage. Your work will directly strengthen our regression testing process, ensuring we deliver reliable, top-quality software all the time. About Tickmill Founded in 2014, Tickmill has grown into a global financial services group of 300+ people, with regulated entities across major jurisdictions and a client base built on trust in active trading, spanning CFDs, Futures and Options. That foundation: capital, licensing, infrastructure and an established international client base ,is what makes the next stage possible: building genuinely new product lines in Stocks, ETFs, Investing, Wealth and Prediction Markets, aimed at a much larger consumer audience than our existing trading business alone. What does the role look like? The Quality Assurance Engineer, will have the opportunity to: Collaborate closely with Software Development and Product teams to design and execute manual tests for current features and upcoming releases. Suggest and implement new testing strategies, tools, and quality metrics. Identify, document, and track bugs effectively. Create detailed test plans, test cases, and testing procedures. What do you need to succeed in this role? Minimum 2 years of hands-on experience in Software Quality Assurance. Strong knowledge of QA methodologies and best practices. Excellent analytical and planning skills. Experience defining acceptance criteria. Fluency in English (written & spoken). Bachelor’s degree or higher education diploma. Proven ability to write clear, structured test plans and cases. Knowledge of test management tools (e.g., TestRail, Zephyr) and issue tracking platforms (JIRA, Confluence). Experience with both white box and black box testing. Ability to work under tight deadlines and pressure. A positive, proactive team player mindset. Will be a plus if you have: Experience with Agile/Scrum methodologies. Test automation skills (e.g., Cucumber, Selenium). Previous experience in the FX industry or similar IT field. ISTQB certification. Knowledge of container technologies, orchestration, and microservices. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience. Opportunities to learn and grow through our “ Employee Training & Development program”. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Birthday and Loyalty benefits . What to expect from our recruitment process: First interview HR call Test task Technical Interview Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis

Location: Dnipro, Ukraine; Belgrade, Serbia; Poland; Lublin, Poland; Krakow, Poland; Bratislava, Slovakia; Ljubljana, Slovenia; Vilnius, Lithuania; Chișinău, Moldova, Republic of; Sofia, Bulgaria; Bucuresti, Romania; Budapest, Hungary; Erevan, Armenia; Kyiv, Ukraine; Lviv, Ukraine; Podgorica, Montenegro; Poznan, Poland; Skopje, North Macedonia; Tallinn, Estonia; Zagreb, Croatia; Batumi, Georgia; Tbilisi, Georgia; Città Vittoriosa, Malta; Odesa, Ukraine; Pilsen, Czechia; Sarajevo, Bosnia and Herzegovina Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a DevOps Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities Lead and execute the migration of CI/CD pipelines from Jenkins to GitHub Actions. Work with shared repositories containing Groovy and Bash-based shared libraries, Jenkinsfiles, and workflows. Configure and manage Jenkins shared libraries, credentials, pipelines, and automation scripts. Implement GitHub Actions workflows with shared repositories for multiple repositories and jobs. Manage GitHub Actions runners, secrets, and secure authentication between GitHub and runners. Configure AWS IAM roles for EC2, IRSA for EKS, STS, and SSH access. Collaborate with development teams to improve pipeline efficiency, security, and reliability. Troubleshoot CI/CD issues and optimize build and deployment processes Requirements Essential Skills & Experience: 4+ years of experience as DevOps. Proven experience with Jenkins (shared libraries, Groovy, Bash, Jenkins credentials, Jenkinsfiles). Strong hands-on expertise with GitHub Actions (shared workflows, runners, secrets, and authentication). Experience with AWS IAM roles, IRSA for EKS, STS, and SSH configuration. Strong scripting skills in Python, Bash and Groovy. Python and Ansible hands on experience Experience with large-scale CI/CD migration projects. Ability to work in complex, high-effort projects under tight deadlines. Nice to Have: Experience with Terraform (not required for this role but a plus). Familiarity with container orchestration (Kubernetes, EKS).

Location: Bulgaria; Croatia; Czechia; Greece; Hungary; Latvia; Lithuania; Poland; Romania; Ukraine Why Cast AI? Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity – automatically. Built originally for Kubernetes, Cast AI goes beyond cost and observability by delivering real-time, autonomous optimization across any cloud environment. The platform continuously analyzes workloads, rightsizes resources, and rebalances clusters without manual intervention, ensuring applications run faster, more reliably, and more efficiently. Headquartered in Miami, Florida, Cast AI has employees in more than 32 countries worldwide and supports some of the world’s most innovative teams running their applications on all major cloud, hybrid, and on-premises environments. Over 2,100 companies already rely on Cast - from BMW and Akamai to Hugging Face and NielsenIQ. What’s next? Backed by our $108M Series C, we’re doubling down on making APA the new standard for DevOps and MLOps, and everything in between. About the role We are seeking a dynamic and innovative Senior Data Scientist to join our forward-thinking team. In this pivotal role, you will leverage data to drive operational excellence and spearhead the development of sophisticated machine learning models. Collaborate with top-tier Machine Learning and Data Engineers to bring these models into production and provide AI expertise across the organization, ensuring data-driven decision-making and innovative solutions. Requirements: Experience : 5+ years of hands-on experience in data science and machine learning, with a proven portfolio of impactful projects. Modelling Expertise : Experience in training tabular and time-series models using classical machine learning and deep learning approaches. Technical Skills : Proficiency in building data pipelines, training models, and conducting experiments using industry-standard tools. Database Knowledge : Advanced SQL skills, including the ability to debug complex queries and a solid understanding of OLTP vs. OLAP systems (experience with OLAP systems is a plus). Problem-Solving : Exceptional analytical skills with a detail-oriented and innovative approach to challenges. Communication : Strong verbal and written communication skills to collaborate effectively within a team. Bonus points Cloud & Containers : Experience with cloud platforms (AWS, GCP, Azure) and container tools like Kubernetes. ML Pipelines : Expertise in ML pipeline development, including data preprocessing, model training, deployment, and monitoring. MLOps Tools : Familiarity with MLOps tools like MLflow or Feast. OLAP Expertise : Hands-on experience with large-scale OLAP systems such as Clickhouse, BigQuery, or Snowflake. Advanced Modeling : Knowledge of advanced techniques for handling imbalanced datasets and other complex modeling challenges. Responsibilities: Run Data Science Experiments : Design, execute, and evaluate experiments to refine models and improve outcomes. Develop Machine Learning Models : Create, validate, and maintain state-of-the-art algorithms, focusing on both tabular and time-series data Analyze Data : Perform deep-dive data analysis and deliver actionable insights to shape our business strategies. Collaborate : Work closely with cross-functional teams to align data science projects with company goals. Stay Current : Keep up with the latest advancements in data science, cloud technologies, and DevOps. Master Databases : Write, debug, and optimize complex SQL queries while effectively navigating OLAP and OLTP systems. What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Enjoy a flexible, remote-first global environment. Equity options. Private health insurance. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. #LI-Remote #LI-Remote

Location: Ballito, South Africa; Pietermaritzburg, South Africa CXG is a global customer experience agency servicing premium and luxury brands. It helps brands reach profitable growth by turning transactional moments into relationships and emotional experiences. With a network of 170+ customer experience experts across 70 countries, we help brands evaluate the experiences they deliver, and work with them to develop programs that support a strong experience and business culture. Description Are you a premium or luxury brand shopper or fan? If the answer is yes, then we are looking for you? We are looking for shoppers who are keen on sharing their opinion about their experience in an assigned luxury store. As a CXG Evaluator, you will conduct discreet evaluations of your favorite luxury brands in markets such as cosmetics, fashion, jewelry, watches or cars and give us your feedback. Apply now and join us to experience luxury retail and advocate for service excellence! Requirements Keen to detail Passion for luxury retail and customer experience Punctual & organized