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Location: Rotterdam, Netherlands Workplace: hybrid You will lead the Back Office & Integrations squad: the team that connects C Teleport to the systems our customers already run, from Planning, HR and Finance platforms to the AI agents that increasingly act on their behalf. The squad's mission is simple to state and hard to deliver: data moves between systems on its own, and nobody re-keys anything by hand. This is a hands-on leadership role. You set the squad's technical direction and write production code alongside your engineers. You also build the team, grow each person in it, and answer for how they perform. Expect to spend roughly half your week in the code and half leading people. C Teleport automates corporate travel for companies whose people are always on the move, with pragmatic engineering and machine learning doing the work that used to take a travel desk. Your squad is where that automation meets our customers' own systems. As Squad Lead you are the squad's face to the rest of the company. You work day to day with your Product Owner, who sits with you in Rotterdam, on what to build and how to ship it in increments. And you are the person other teams come to when their work depends on the integration layer, so they can trust that what you promise will land. What you'll own Technical leadership Own the squad's technical direction, from design decisions through to the implementation itself. Own the squad's delivery outcomes to ensure the team ships reliable, complete solutions and follows through to production. Stay hands-on: contribute production code, lead reviews, and know the system deeply. Partner with the Product Owner to shape the roadmap and break work into incremental MVPs, shaping solutions, not accepting requirements blindly. Challenge estimates, surface risks early, safeguard production stability, and keep incidents and support tickets inside SLA. Enforce coding standards, reduce technical debt, and evaluate new technology with the Architects Group. People leadership Line-manage the engineers in the squad: this is real, all-round people management, not a title. Own hiring for the squad: define the need, interview, and make the call. Run regular 1:1s, give direct feedback, and build each engineer's growth path. Own performance end-to-end: recognise and stretch strong performers, and address underperformance directly, including the difficult conversations and, where it comes to it, managing someone out. Set and hold the bar for how the squad works together, and promote a culture of "agree or disagree, but commit." This is not… Not a hands-off management role. You will still design, review, and write production code every week. Not a pure IC or Tech Lead or architect role. You are accountable for people and for delivery, not only for the code. If you are looking to step back from management, or to step back from coding, this is not the role. Not a way back into coding. If you have mostly managed people for the past year or more and your C# has gone rusty, this role will be a hard fit. Our technical interview tests current, hands-on skill. Not a role where "leading engineers" was a title without the substance. If your team-lead experience didn't include running your own 1:1s, hiring, and personally handling underperformance, this role will feel like a bigger jump than it looks on paper. Contract type This role starts as a 12 months fixed-term contract, and permanent contract will be offered once the confidence of long-term collaboration is well established. If you need a permanent contract from day one, this isn't the right fit for you right now — for everyone else, it's the standard structure we use to make sure it's a genuine two-way fit before we commit long-term. Must-haves (these are gates) Based in the Netherlands and able to work from our Rotterdam office 3 days per week (Mondays, Tuesdays and Fridays). We can sponsor highly-skilled-migrant candidates who already live in the NL. We do not relocate candidates from outside the country. 7+ of your most recent years in software engineering with deep, current .NET / C# expertise. It needs to be your active day-to-day stack now, not a language you used earlier in your career. 2+ years of current, full-scope people management as a Engineering Manager, meaning you've personally run recurring 1:1s, hired, and managed underperformance through to a resolution, including an exit where needed. A lead or architect title without this substance isn't enough. You have written and merged production C# as part of your regular job in the last 6 months. Strong hands-on coding background, you'd rather write code than avoid it. You use AI coding agents (e.g. Claude Code, Cursor's agent mode, or similar) as a daily driver, not just autocomplete, instead being comfortable directing agentic workflows, and ready to bring that fluency to how your team works, not only how you personally code. Solid grasp of architectural patterns, SOLID, TDD, DDD, Event Sourcing and CQRS; practical experience with relational databases (PostgreSQL preferred) and message brokers (RabbitMQ or similar); hands-on with microservices and Docker. Nice to have (bonus, genuinely not required) Building and owning APIs, webhooks, or platform/integration products; connecting to enterprise finance/HR/scheduling systems; driving external partner/supplier integrations to live deployment. Experience with AWS or Kubernetes. Tech stack C#, .NET, PostgreSQL, RabbitMQ, AWS; alongside Docker, Redis, Elasticsearch and other supporting services across the wider platform. The squad It's a small, lean and focused team working remotely across European time zones, with you connecting it to the wider company from our Rotterdam office. You report directly to the CTO. What we offer €7,000–8,000 gross per month, plus 8% holiday allowance. A hands-on technical leadership role with significant ownership of a business-critical domain. Hybrid working from our Rotterdam office, three days a week; close to your Product Owner and the cross-department stakeholders whose work depends on the squad, so the tightest collaboration happens in person. Professional growth in a fast-moving company at the intersection of travel and engineering. Hiring process Recruiter / HR call: role, motivation, logistics, plus an interactive technical assignment. Technical challenge / interview. Meet the CTO. Target: ~2–3 weeks end to end. Pre-employment screening If your application is successful, we may conduct a pre-employment screening through a trusted third party, in line with applicable laws — this may include employment history, education, and other relevant publicly available information to help us understand your suitability for the role. C Teleport is an equal-opportunity employer. We assess every application on merit and handle your data in line with GDPR.

Location: Amsterdam 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 a Trading Systems Engineer, you’ll have an opportunity to exercise your extensive skills while helping solve complex technical problems.  You’ll work closely with trading, infrastructure and software development teams to provide smooth support for our technology. We’ll ask you to communicate directly with exchanges, traders and developers to iron out any problems that arise. Qualifications & Skills: Minimum of 5 years working in trade support, site reliability engineering or related fields Bachelor’s degree in STEM or related field Familiarity with trading platforms and financial markets Thrives in high-pressure situations while working alongside traders, developers and other engineering teams Strong problem-solving skills and the ability to troubleshoot technical issues under pressure Excellent communication skills, both written and verbal Knowledge of Linux/Unix environments Experience with scripting languages such as Python and Bash for automation tasks Ability to devise complex SQL database queries and updates Basic networking knowledge, including multicast, TCP/IP, DNS, DHCP and common network troubleshooting tools What you’ll be working on: Maintaining the health and availability of a world class trading eco-system Responding to support requests from our traders and software engineers Contributing to our automation and monitoring solutions, reducing manual configuration and improving uptime Liaising with external trading partners, such as financial exchanges and clearing firms, to resolve technical issues Onboarding new trading desks, trading systems and technologies 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-MM1

Location: London 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 a Trading Systems Engineer, you’ll have an opportunity to exercise your extensive skills while helping solve complex technical problems.  You’ll work closely with trading, infrastructure and software development teams to provide smooth support for our technology. We’ll ask you to communicate directly with exchanges, traders and developers to iron out any problems that arise. Qualifications & Skills: Minimum of 5 years working in trade support, site reliability engineering or related fields Bachelor’s degree in STEM or related field Familiarity with trading platforms and financial markets Thrives in high-pressure situations while working alongside traders, developers and other engineering teams Strong problem-solving skills and the ability to troubleshoot technical issues under pressure Excellent communication skills, both written and verbal Knowledge of Linux/Unix environments Experience with scripting languages such as Python and Bash for automation tasks Ability to devise complex SQL database queries and updates Basic networking knowledge, including multicast, TCP/IP, DNS, DHCP and common network troubleshooting tools What you’ll be working on: Maintaining the health and availability of a world class trading eco-system Responding to support requests from our traders and software engineers Contributing to our automation and monitoring solutions, reducing manual configuration and improving uptime Liaising with external trading partners, such as financial exchanges and clearing firms, to resolve technical issues Onboarding new trading desks, trading systems and technologies 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-MM1

Задачи: — проектировать, разрабатывать и поддерживать ETL/ELT-пайплайны — собирать, обрабатывать и трансформировать данные из различных источников — разрабатывать и сопровождать слои DWH, витрины данных и data marts — настраивать интеграцию источников данных: CRM, ERP, BI и внешних сервисов — разрабатывать внутренние сервисы и API на Python — заниматься мониторингом, логированием и устранением ошибок Требования: — практический опыт работы с Python, SQL, Airflow, ETL/ELT и DWH — опыт разработки и поддержки data pipelines — знание реляционных СУБД — опыт работы с API

Requirements 5+ years of Date Engineer experience Understanding of the DWH and ETL development principles and methodologies Experience with Cloud DWH solutions Hands-on experience with Snowflake Understanding of the analytical and transactional processing Advanced experience with RDBMS (MSSQL preferred) or NoSQL databases Advanced in SQL querying (T-SQL preferred) Experience with at least one VCS (Git, SVN, etc.) English skills sufficient for spoken communication (Upper-Intermediate level and above) We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota; Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Anna hh@itransition.com

Requirements 2+ years with Python including strong knowledge of data libraries (pandas, multiprocess, Google Cloud SDK) 2+ years of experience in ETL/ELT technologies (REST API, GraphQL, DBT, etc. ) and data pipeline orchestration (e.g., Airflow, Astronomer, DBT cloud, etc) Hands-on experience with Snowflake Problem-solving and root cause analysis in live production systems along with experience querying and transforming large volumes of data, data quality and data validation Experience in SQL (SQL Server, Oracle, MySQL, BigQuery, Snowflake) Comfortable working with serialized data format (JSON, AVRO, XML, CSV) as well as compressed and encoded files Comfortable with ingesting data using REST APIs, data transformations and data loading/unloading techniques English proficiency sufficient to work in an international environment Nice to have Capable of designing and implementing data pipelines over cloud architecture Experience working with CI/CD deployments Experience working with GIT We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota; Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Anna hh@itransition.com

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we’re just getting started. Much of this is being built 0→1 right now: you’ll shape both the product and the architecture in a category no one has defined yet. You'll be a technical leader who thinks holistically about the end-to-end researcher experience, partners directly with our internal research team to push model capabilities into production, and carries real ownership over what we ship next. Our north star is accelerating scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. This work supports programs like Anthropic’s AI for Science Program and our rare disease research grants . What you'll do Ship fast against a roadmap you help shape: this is a product in a category no one has defined yet, and the highest-leverage problems are still unclaimed Interface directly with working scientists — academic labs, industry R&D teams, and research institutes — during key conversations, translating what you learn into engineering priorities Partner with product and design to turn how scientists actually work — from hypothesis to analysis to publication — into shipped product Work closely with research to make the models better at science: shaping evals, surfacing failure modes, and feeding what users hit in the real world back into model development You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Have built AI products and know what it takes to turn model capabilities into applications people actually use Are comfortable working directly with technical domain experts and translating what you learn Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Background in chemistry, biology, physics, or another science Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks 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: $405,000 — $485,000 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: Remote (USA) At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes. You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline. You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in real-world experience across various industries and scales. You have an interest in and a curiosity about data platforms and the latest advances in data technology. What you will be doing Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment via Declarative Automation Bundles. Architect and implement Lakehouse solutions on Databricks — medallion architecture, Delta Lake, Unity Catalog — tailored to the client's analytics, AI, and application needs. Build and maintain Databricks transformation layers — DLT pipelines, PySpark notebooks, and dbt — with data quality constraints and SLAs baked in. Design and maintain the data and AI foundations — Unity Catalog, Feature Store, MLflow, and Model Serving — that power production ML, agent workflows, and AI-enabled digital products. Collaborate with product and backend engineers to design data models, APIs, and application data contracts — ensuring the platform serves the product, not just the warehouse. Consult with clients to understand their data challenges, develop data strategies, and implement sustainable solutions. Adapt your approach based on project needs — sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise. Work within multi-cloud environments — primarily AWS and Azure — anchoring data platform recommendations around Databricks where it fits the client's architecture and goals. Champion data governance through Unity Catalog — access control, lineage, data quality policies, and compliance — as a first-class part of every engagement, not an afterthought. Design data-to-application architectures — including Lakebase-backed services and Databricks Apps — that connect governed data to AI workflows, digital products, and user-facing experiences. Help build Livefront's Databricks practice — contributing to accelerators, internal enablement, certification goals, and Databricks partner go-to-market materials alongside delivery work. Why you should apply You want to work with passionate and talented people who are always looking for ways to make things better. You desire a work environment where respect, mutual trust, and egoless collaboration are paramount. You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time. You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring. You want to work on products and accounts that have outsized impact and reach. You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile. You want to help build a data practice specialization from the ground up — shaping how we go to market with Databricks, what we build as accelerators, and what it means to do this kind of work at a digital product company. What you bring to the table 7-10 years of data engineering experience with at least 5 years in production Databricks environments, preferably in a consulting or client delivery context. Solid working knowledge of AWS and Azure cloud services relevant to Databricks deployments — storage, networking, IAM, and compute — with GCP familiarity a plus. Deep, production-grade Databricks expertise: Lakeflow Declarative Pipelines, Autoloader, Structured Streaming, Lakeflow Jobs, Unity Catalog (including fine-grained access control and lineage) — demonstrated through shipped production workloads, not prototypes. Proven experience designing Lakehouse architectures — medallion patterns, Delta Lake table design, partitioning, Z-ordering, and query optimization — at production scale. Hands-on experience with data pipeline testing, observability, and CI/CD for data — including unit testing, data quality frameworks, and version-controlled deployments via Git and Declarative Automation Bundles. Strong proficiency in SQL and Python, with the ability to write clean, performant, and maintainable code. Understanding of data modeling, schema design, and query optimization. Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders. Strong problem-solving skills with the ability to navigate ambiguous requirements and deliver pragmatic solutions. Above-average discipline and personal organization skills. Obvious comfort with critique and peer review in the context of an iterative development process. A demonstrated hunger for personal and professional growth. A self-evident love and care for the craft of data engineering. Bonus points if you… Have worked with real-time streaming technologies (Kafka, Kinesis, etc.). Have hands-on experience with alternative cloud data platforms — useful context for migrations and competitive assessments, though Databricks is our primary platform focus. Have experience in healthcare or fintech domains. Have hands-on experience with MLOps or LLMOps on Databricks — MLflow experiment tracking, model registry, Model Serving endpoints, or Vector Search for RAG pipelines. Have experience with Java, Go, or Scala. Have strong illustration skills for technical diagramming and data architecture documentation. Speak, write, and/or educate publicly about data engineering topics. Have contributed to open-source data projects. Hold or are actively pursuing a Databricks certification (Data Engineer Associate or Professional, or Apache Spark Developer) — we treat these as meaningful signals of platform depth, and they directly support our Databricks partner growth goals. Have experience with Databricks Apps, or Lakebase — early familiarity with where the Databricks platform is heading is a strong differentiator. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Compensation is $150,000 - $180,000 Additional information We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.

Location: Armenia; Russia; Serbia; Turkey; Georgia; Montenegro Libertex Group Overview Established in 1997, the Libertex Group has helped shape the online trading industry by merging innovative technology, market movements and digital trends. The multi-awarded online trading platform, Libertex, enables traders to access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of Audi Revolut F1® Team. We build innovative fintech so people can #TradeForMore with Libertex. Job Overview We are looking for a Senior Machine Learning Engineer who will play a pivotal role in implementing, enhancing, and maintaining our machine learning solutions. Responsibilities: Work closely with business departments (Sales, Marketing, Products, Payments, Dealing) to understand their needs and translate these into practical, scalable, and robust machine learning solutions. Work on such projects like LTV prediction, churn prediction, antifraud solutions, uplift modelling, GenAI-applications (AI agents, chatbots, MCP) Oversee current solutions, manage improvements if needed, expand the role of machine learning across organisation. Implement new and improve current MLOps practices, laying the foundation for efficient and effective model development, deployment, and monitoring. Requirements Great understanding of business and where ML solutions can fit and bring value Technological stack - Python, PyTorch,, SQL (MSSQL, Postgres), ClickHouse, AWS (Sagemaker, Bedrock, EC2, EKS), Docker, FastApi, Kafka, Airflow Establishing and maintaining MLOps practices, including version control for models, automated testing, and CI/CD for ML systems Utilise AWS ML (or similar) services for developing and deploying models General understanding of IT infrastructure, various data source types, development processes etc. Great to have previous experience in applying data science tools to mobile apps, gaming or fintech Intermediate level of English Experience with LLMs (AWS Bedrock, langchain, langgraph, RAG, Agents, MCP). Benefits Quarterly bonuses based on Company performance Generous relocation package for the employee and their immediate family Medical Insurance Plan with coverage for the employee and their immediate family from day one 24 working days of annual leave Yearly reimbursement of travel expenses for the employee and family's flight home Corporate events and team building activities Udemy Business unlimited membership & language training courses Professional and personal development opportunities in a fast-growing environment Libertex Group is an equal opportunity employer, fostering an inclusive and diverse environment. We do not discriminate based on any characteristic protected by the law. Candidate privacy is respected, and all data is securely stored and used solely for recruitment purposes, in line with GDPR and our internal policies. Unsuccessful applicants may have their data retained for future opportunities unless deletion is requested.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX About the role Cloudflare powers a large portion of the internet through its intelligent global network and rapidly growing developer platform. In this role within the Emerging Technologies & Incubation (ETI) department and Product Growth team, you will join a top-notch engineering team focused on building large-scale, high-performance applications and delightful user experiences. As an experienced, product-minded front-end or full-stack engineer, you will bridge product engineering and growth to translate product vision into polished code that directly impacts key business metrics and evolves our self-service properties. Responsibilities Experimentation & Growth: Deliver customer-facing UI experiences and A/B experiments aimed at accelerating user acquisition, engagement, and retention through data-informed hypotheses. Full-Stack Execution: Architect scalable front-end solutions and build features end-to-end across the product lifecycle (front-end, back-end, IaC, system design, debugging, and testing). Cross-Functional Collaboration: Partner with product, design, and data/analytics teams to define outcome measurements, establish experimental frameworks, track behavior attribution, and shape product roadmaps. Performance & Productivity: Enhance application performance, code quality, security, and developer productivity across core properties. Trust & Safety Compliance: Work with cross-functional teams to ensure all product experiences comply with trust and safety principles. Desirable Skills, Knowledge & Experience Core Languages & Frameworks: Proficiency in TypeScript/JavaScript for building reusable SDKs and UI components, alongside strong knowledge of HTML, CSS, and modern JavaScript ecosystems. Serverless Architecture: Experience building with high-scale serverless systems (e.g., Cloudflare Workers, AWS Lambda, Azure Functions). Growth & Analytics: Experience designing interfaces for business KPIs (onboarding, adoption), running A/B experiments, using feature flags/gating, and leveraging telemetry. System Design & APIs: Strong foundation in system design—balancing engineering excellence with visual aesthetics—and experience working with or designing RESTful APIs. Development Workflows: Background in building tools/frameworks to boost developer productivity, experience using modern AI/LLM augmented workflows, and a desire to thrive in a fast-paced environment. Bonus Points Familiarity with additional programming languages such as Go, Rust, or Python. Prior experience as a Cloudflare user or hands-on experience dog-fooding Cloudflare products (e.g., Cloudflare Workers, Access, Zaraz, or cache configuration). Experience with commercial analytics platforms like Google Analytics or Adobe Analytics. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Irvine, CA 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 As a Senior Mechanical Engineer, you will work directly with some of the world’s largest technology companies and other mission-critical clients. You will serve as a mechanical engineer on projects, design calculations, write technical reports, and prepare documents. Experience in the Data Center industry is preferred. You will also coordinate with other Olsson teams, professional staff, technical staff, and clients. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills Project Management experience preferred Ability to contribute and work well on a team Bachelor's degree in mechanical engineering 10 - 15+ years of mechanical engineering experience Revit experience preferred Central utility experience preferred Data Center experience preferred Licensed PE Ability to be a self-starter to take on a variety of tasks to best serve the client and their project work Investigation and troubleshooting of problems to find solutions #LI-DNP Actual compensation will vary based on factors such as experience, qualifications, geographic location, skills, education, and internal equity. California Pay Range $132,000 — $180,000 USD 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 | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Enterprise Systems at 1Password owns the tools and systems the company runs on. We centrally select, administer, integrate, and govern Enterprise Tools so that they work together as an interconnected ecosystem that shapes how 1Password operates. The team is charting new territory: centralizing ownership of company tools, building cross-functional integrations, and enabling the company to adopt new technologies, including AI, responsibly and strategically. The Senior Enterprise Systems Engineer is a key technical contributor on this team. You'll own the lifecycle and roadmap for a portfolio of Tier 1 enterprise tools, work closely with the team's Staff Engineer, and partner with Security, Finance, Legal, and business teams. You'll also bring practical AI and automation skills to your work. If you enjoy building scalable systems, solving workflow problems with automation, and raising the bar for those around you, we want to hear from you. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within the US or Canada. What we're looking for: - 5+ years of IT or enterprise systems experience, with a track record of building and supporting enterprise systems at scale. - Hands-on expertise administering, integrating, and optimizing core enterprise platforms such as Slack, Google Workspace, Zoom, Notion, Jira, Asana, or similar. - Experience with identity and access management concepts, including SSO, SCIM provisioning, and access reviews (Okta preferred). - Experience with workflow automation and integration tools such as Tines, Okta Workflows, Workato, or APIs and low-code/no-code platforms. - Practical experience with AI-enabled productivity tools or platforms (e.g., ChatGPT Enterprise, Dust, Claude, Glean), with an understanding of secure and responsible AI adoption. - Ability to build and communicate a strategic roadmap for a tool or portfolio, and to translate business workflow challenges into effective technical solutions. - Familiarity with software licensing, procurement, and vendor management (a plus). - Strong collaboration and communication skills, with the ability to work with both technical and non-technical stakeholders in a rapidly scaling organization. - A desire to mentor others and contribute to a positive team culture. Success in this role looks like: - Your assigned tools are configured, maintained, and operating reliably, meeting team standards for uptime, security posture, and employee adoption. - Each tool you own has a documented roadmap aligned with company needs and vendor direction. - Licenses, renewals, and provisioning are managed efficiently, with clear ownership and no grey zones between IT and the business. - Integrations and configurations are documented and follow consistent standards. - AI features and automations in your area are rolled out securely and adopted, with measurable reductions in manual effort. - Partners across IT, Security, Finance, Legal, and the business see you as a trusted, responsive point of contact. What you can expect: - Own the end-to-end lifecycle of an assigned portfolio of Tier 1 tools (e.g., Slack, Google Workspace, Zoom, Notion, Jira, Asana, Freshservice), including administration, configuration, support, and documentation. - Develop and maintain strategic roadmaps for your tools, balancing near-term priorities with long-term direction and staying current on vendor roadmaps. Contribute to the team's overall roadmap. - Manage SSO and SCIM provisioning through Okta, and support access controls, access reviews, and application onboarding and offboarding. - Implement and maintain configuration standards and governance (e.g., feature enablement, retention policies, compliance guardrails), balancing enterprise-wide consistency with business unit needs. - Support license management, cost projections, renewals, and vendor relationships, partnering with Finance, Legal, and Procurement. - Assess new application requests against the team's tiering criteria (adoption scope, security sensitivity, integration complexity, and contract value), and confirm responsibilities with business teams before onboarding or procurement proceeds. - Design, build, and maintain integrations between enterprise applications using APIs, Tines, Okta Workflows, and other tooling. - Configure and operate AI features and platforms (e.g., OpenAI Enterprise, Dust, and AI capabilities within Slack, Notion, and Google Workspace), ensuring secure, responsible, and well-supported usage. - Build and maintain AI-powered workflows and automations that reduce manual effort and streamline operations across teams. - Contribute technical analysis and recommendations when evaluating new tools and AI capabilities, covering security, privacy, compliance, and fit. - Develop and maintain documentation, standards, and best practices for tool configurations, integrations, and AI and automation usage. - Provide technical guidance to help employees adopt centralized tools and AI capabilities, in coordination with the AI Working Group and Enterprise L&D. - Mentor teammates and share knowledge to help build a collaborative, focused, and impactful team. USA-based roles only: The annual base salary for this role is between $123,000 USD and $172,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $117,000 CAD and $164,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Hybrid - Riyadh MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. As a Site Reliability Engineer, you will work closely with customers as well as the engineering team on enhancing, optimizing, validating and automating our cloud-native storage platform. Your role will be a mix of DevOps and software engineering to assure that MinIo is delivering a very high quality product with high-performance, scalability and durability to enable seamless data storage and retrieval for demanding workloads for customers. This role requires deep expertise in DevOps practices, SRE, systems programming, distributed computing, and storage architectures. You will work closely with a world-class team of engineers to push the boundaries of object storage performance and reliability. What You Will Do: Enhance, optimize, validate and automate core MinIO software for performance, scalability, and security. Help building and delivering high-performance distributed storage solutions with a focus on cloud-native architectures. Validate the MinIO Software according to customer environment and requirements, ensuring no surprises are observed at customer deployments. Improve existing features, fix critical issues, and contribute to open-source repositories. Collaborate with other engineers to refine architecture, APIs, and integrations. Write efficient, well-documented, and maintainable code. Conduct performance benchmarking and debugging of complex storage environments. Work closely with customers to address issues, and manage expectations. Your Skills and Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 5+ years of professional experience in software engineering. Desire and ability to directly work with customers to solve their problem with product enhancement and automation. Experience in DevOps, GitOps, Automation and testing frameworks. Expertise in distributed systems, networking, or high-performance computing. Experience with cloud-native technologies (Kubernetes, containers, microservices). Strong proficiency in Go desired (or deep experience in C/C++/Rust with a willingness to learn Go). Deep understanding of storage systems, file systems, or databases. Strong problem-solving skills and experience debugging complex, large-scale applications. Contributions to open-source projects are a plus. Ability to work in a fast-moving, collaborative environment with a strong sense of ownership. Empathy towards the customer and ability to quickly dig in to resolve any customer issue. Passion for innovation and staying current with technology trends. Self-motivation and a commitment to continuous learning and adopting new tools and frameworks. A strong sense of ownership and accountability in delivering high-quality work while directly working with customers.. A collaborative and team-oriented mindset, thriving in environments that value open communication and shared goals. Ability to collaborate effectively with cross-functional teams, contributing to a positive and productive work environment. Attention to detail and fine craftsmanship. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Palo Alto Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE This role focuses on building and operating the ML platform that powers large-scale training, evaluation, and batch inference at Mistral AI. You will develop the infrastructure that enables researchers and engineers to run distributed GPU workloads reliably across clusters, hardware types, and regions. You will work across the full ML lifecycle, from workload scheduling and capacity management to platform APIs, observability, and production operations. You will take ownership of critical systems and help turn complex infrastructure into reliable, self-service capabilities. WHAT YOU WILL DO - Build the ML Platform: Develop services, APIs, controllers, and tooling for training, evaluation, fine-tuning, and batch inference. - Orchestrate GPU Workloads: Build systems for queueing, admission control, quotas, priorities, preemption, and topology-aware placement. - Manage Compute Capacity: Improve how heterogeneous GPU resources are provisioned, allocated, and utilized across clusters. - Enable Multi-Cluster Execution: Place workloads based on capacity, data locality, hardware requirements, and organizational priorities. - Improve Researcher Experience: Create self-service workflows that make distributed workloads easy to launch, observe, debug, and reproduce. - Optimize Performance: Improve GPU utilization, scheduling latency, workload startup time, throughput, and infrastructure efficiency. - Build for Reliability: Develop observability, failure recovery, capacity planning, and operational tooling for critical ML workloads. - Operate What You Build: Participate in on-call rotations and troubleshoot issues across applications, schedulers, networking, storage, and GPU infrastructure. WHAT WE'RE LOOKING FOR - Have 4+ years of experience in ML infrastructure, distributed systems, Kubernetes platform engineering, or a related field. - Are proficient in Python or Go and comfortable working with production-grade distributed systems. - Have strong Kubernetes knowledge, including controllers, operators, CRDs, scheduling, networking, storage, and resource management. - Understand technologies such as Kueue, Karpenter, Volcano, and Kyverno, and the problems they address in workload scheduling, provisioning, and policy enforcement. - Understand distributed ML workloads, including training, fine-tuning, evaluation, checkpointing, and batch inference. - Are familiar with GPU infrastructure and technologies such as PyTorch, CUDA, NCCL, and high-performance networking. - Understand concepts such as quotas, priorities, preemption, gang scheduling, topology awareness, and workload admission. - Can diagnose performance and reliability problems across software, orchestration, networking, storage, and hardware. - Care about developer experience and enjoy turning complex infrastructure into simple, reliable interfaces. - Thrive in an ambiguous, fast-moving environment shaped by frontier AI research. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Salt Lake City, Utah, United States About the Role ICapital is looking for a hands-on Application Security practitioner to join a small, high-impact team building a modern AppSec program. This individual will work directly with the Head of AppSec and senior team members, executing secure design, API security, and developer enablement. Responsibilities Support threat modeling and design reviews across a broad and growing service portfolio. Support shift-left security initiatives, security in CI/CD, developer guidance, and SAST and SCA remediation workflows. Contribute to API security across the organization, assessing API exposure, validating authentication and authorization patterns. Write Python automation that scales AppSec capacity: triage tooling, finding pipelines, security context enrichment. Work directly with developers to remediate SAST and SCA findings, reduce false positive noise, and build security habits across engineering. Qualifications Hands-on experience across some secure design and threat modeling, API security, offensive security, or SAST/SCA program work Real understanding of attack patterns and exploitation techniques Familiar with OWASP Top 10 in practice API security experience with REST and GraphQL assessment Able to build and maintain security automation in Python, tooling that scales AppSec capacity Understanding of web application and API security Able to operate with autonomy in an environment still building its processes Relevant certifications, cloud-native environment experience and exposure to AI/LLM security are a plus Experience as a developer or engineer and fluency in Ruby, Python, and Scala are a plus Benefits The base salary range for this role is $100,000 to $130,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Malta As a Platform Engineering Tech Lead , you will provide hands-on technical leadership for a team responsible for building and operating cloud and platform capabilities that power our applications and customer experiences. Your primary focus will be AWS, cloud, edge and platform technologies , while working closely with other Platform Engineering specialists, including our Kubernetes Tech Lead. You will help shape technical solutions, work with Architects, build POCs, review implementations and get hands-on with the technology when needed. This is a role for someone who enjoys being close to the technology while also helping engineers solve complex problems, raising engineering standards and driving the platform forward. A taster of what you will be involved with Provide hands-on technical leadership – Shape technical solutions with Architects, define technical approaches, conduct POCs and drive engineering standards across cloud, edge and platform technologies. Build and enable the team – Coach and unblock engineers, share knowledge and promote collaboration so that knowledge is distributed and no single person becomes a point of failure. Support technical assessments and code reviews. Drive reliability and operational excellence – Lead technical incident response and RCA, ensuring solutions are production-ready, resilient and have appropriate rollback strategies. Observability as a first-class concern – including logs, metrics, traces and SLOs. Drive cloud and platform evolution – Build and improve AWS-based capabilities through automation, Infrastructure as Code and modern platform engineering practices, while identifying opportunities for innovation and modernisation. Collaborate across Platform Engineering – Work closely with Kubernetes, Observability, Delivery, Security and Architecture teams to ensure our platform operates as a cohesive ecosystem. What we’re looking for Strong experience in AWS and cloud engineering in production environments. Experience with AWS edge and networking technologies, such as CloudFront, Route 53, WAF, load balancing, CDN and edge computing. Good working knowledge of Kubernetes and containerised platforms and the ability to work effectively alongside Kubernetes specialists. Strong experience with Infrastructure as Code and automation, particularly Terraform and Ansible, along with modern CI/CD practices. Comfortable remaining hands-on with code, infrastructure, configuration and troubleshooting. Experience with code reviews, technical design discussions and POCs. Strong understanding of observability and reliability, including logs, metrics, traces and SLOs. Experience mentoring engineers and providing technical leadership without relying on formal management authority. Strong communication skills and the ability to clearly explain technical decisions, trade-offs and risks. Who We Are Betsson Group is one of the largest companies within the Global iGaming space and can trace our heritage as far back as the 1960’s. We’re Swedish and publicly listed too with our Operational HQ located on the Mediterranean Island of Malta. We strive to deliver the best customer experience in the industry. As a market leader within iGaming we offer online gaming products across 12+ jurisdictions and 20+ brands. You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform used by hundreds of thousands of our customers! Product Development at Betsson Group Our Product Development organisation is truly Global with cross functional teams spanning 6 Tech Hubs – Malta, Budapest, Stockholm, Tallinn, Malaga and Athens. With around 1,000 strong professionals, the Product Development organisation is spear-headed by our CTO-CPO with all our talented Area Teams working together. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Malta As an Engineering Manager – Platform Engineering , you will lead engineering teams responsible for the platforms, tooling and capabilities that enable application teams to build, deploy, observe and operate their software reliably. You will lead approximately 10–12 engineers across Delivery and Observability, working closely with Tech Leads, Architects, application engineering teams and other Engineering Leaders to set direction, prioritise improvements and ensure the platform delivers reliable and effective capabilities to its users. This is a technically strong engineering leadership role . While you won't be expected to code day-to-day, you should be comfortable reviewing technical changes, challenging engineering decisions, understanding technical risks and participating in production incidents. You will also be accountable for the overall performance, stability and operational health of the domain, ensuring platform services meet agreed SLAs/SLOs, reducing incidents and continuously improving the experience for the engineering teams that depend on them. A taster of what you will be involved with Own roadmap and delivery – Drive prioritisation, planning and execution across the domain, balancing platform improvements, operational commitments and organisational priorities. Lead and develop high-performing teams – Build the right team structure, skills and culture while owning recruitment, performance, career development and succession planning. Drive technical excellence – Partner with Tech Leads and Architects to challenge technical decisions, manage risks and ensure platform solutions are reliable, secure and maintainable. Own platform performance and stability – Monitor SLAs/SLOs, service health and engineering metrics, driving continuous improvement, reducing incidents and improving reliability. Lead operational excellence – Ensure operational readiness, observability, incident management and effective RCA, acting as an escalation point for major incidents and ensuring preventative actions are delivered. Partner across the organisation – Work with application engineering teams, Architects and Engineering Leaders to understand needs, manage expectations, remove blockers and continuously improve platform capabilities and ways of working. What we’re looking for Strong technical background with the ability to understand complex systems, review changes and challenge technical decisions. Experience leading and developing engineering teams, including recruitment, performance and career development. Strong roadmap, prioritisation and delivery management skills, with accountability for quality and timelines. Experience working with Tech Leads, Architects, Product and engineering stakeholders. Good understanding of platform engineering, cloud, CI/CD, automation and Infrastructure as Code. Strong understanding of observability, reliability and production operations. Experience managing SLAs/SLOs, service performance and operational metrics, with a focus on improving stability and reducing incidents. Strong communication, stakeholder management and problem-solving skills, with a pragmatic and outcome-focused approach. Nice to have Experience managing teams responsible for CI/CD, developer platforms, engineering tooling or software delivery platforms. Experience managing Observability, SRE or Platform Reliability teams. Experience with AWS or other major cloud platforms. Familiarity with technologies such as Kubernetes, GitHub Actions, Argo CD, Terraform, Ansible, Prometheus, Grafana, OpenTelemetry or similar tooling. Who We Are Betsson Group is one of the largest companies within the Global iGaming space and can trace our heritage as far back as the 1960’s. We’re Swedish and publicly listed too with our Operational HQ located on the Mediterranean Island of Malta. We strive to deliver the best customer experience in the industry. As a market leader within iGaming we offer online gaming products across 12+ jurisdictions and 20+ brands. You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform used by hundreds of thousands of our customers! Product Development at Betsson Group Our Product Development organisation is truly Global with cross functional teams spanning 6 Tech Hubs – Malta, Budapest, Stockholm, Tallinn, Malaga and Athens. With around 1,000 strong professionals, the Product Development organisation is spear-headed by our CTO-CPO with all our talented Area Teams working together. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy