Location: Canada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Ottawa; Toronto; Victoria; 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!
Why this role?
This role will focus on evaluating data science and coding tasks, requiring you to review and debug code, analyze model trajectories, and assess data visualization script development and logical flow implementation. Your work will contribute to our model development efforts and the logic our models apply when completing task requests.
Please note: This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 40 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract.
As a Data Annotation Specialist, you will:
- Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools.
- Assess agent trajectories and model capabilities for code generation, tabular and graphic manipulation, and debugging requests.
- Prompt models to complete complex data science tasks and review the accuracy of generated responses.
- Label, proofread, and improve machine-written and human-written software engineering-related outputs.
- Report quality and performance trends related to model/agent behaviour and project assignments.
You may be a good fit if you have:
- Exceptional data analysis and visualization skills.
- 3+ years of relevant industry experience working on real-world data science problems and pipelines.
- Proficient knowledge and understanding of Python and industry-standard data science packages (numpy, pandas, matplotlib, sqlite, or others).
- Strong understanding of SQL syntax writing and workflows; and a deep familiarity with file/data formats, such as markdown, JSON, XML, YAML, and HTML.
- Prior experience re-writing, proofreading, and delivering feedback on code.
- Familiarity with code agents (OpenCode, Claude Code, Codex) or evaluating agent trajectories is a plus.
The Candidate Journey:
- Initial Screening: Our Talent Team will review your application.
- First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email.
- Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise.
- Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team.
- Final: Selected candidates will receive an Independent Contractor Agreement.
As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously. We request that you declare any external work relationships with Cohere’s direct competitors and always maintain the IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by self-invoicing for services provided pursuant to the terms of our agreement with the contractor.
It is important to understand that, as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week.
Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.
If the above qualifications do not perfectly align with your experience, we still encourage you to apply!
We value and celebrate diversity and 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, and we will work together to meet your needs.
УдалённоCanada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Ottawa; Toronto; Victoria; Montreal
Location: Paris
Workplace: OnSite
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.
About The Job:
Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.
You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.
As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.
What you will do
- Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
How We Work in Applied AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
About you
- You are fluent in English.
- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.
- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.
- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.
- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.
Ideally, you have:
- Contributed to open-source projects, particularly in the LLM or AI space.
- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
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: Montréal
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.
About The Job:
Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.
You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.
As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.
What you will do
- Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.
- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.
- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.
- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.
- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.
How We Work in Applied AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
About you
- You are fluent in French and English.
- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, Staff Engineer or Solutions Architect) focused on AI products or enterprise solutions.
- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.
- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.
- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.
- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.
- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.
Ideally, you have:
- Contributed to open-source projects, particularly in the LLM or AI space.
- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.
- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.
Why joining us?
You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
Why join us?
You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!
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: Paris; London
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
Mistral AI is seeking Applied Scientist Interns and Research Engineer Interns to drive innovative research and collaborate with clients on complex research projects.
You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle.
WHAT YOU WILL DO
- Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs.
- Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations.
- Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
- Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines.
- Manage research projects and communications with client research teams.
WHAT WE'RE LOOKING FOR
- Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences.
- Expert with PyTorch or JAX.
- Not afraid of contributing to a big codebase; finds their way around independently with little guidance.
- Writes clean, readable, high-performance, fault-tolerant Python code.
- Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence.
- Low-ego, collaborative and eager to learn.
- Track record of success through personal projects, professional projects or academia.
NICE TO HAVE
- Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome.
- Preferred duration: at least 6 months. Priority to candidates about to finalise their studies.
- Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis.
- Contributions to a large open-source or industry codebase.
- Publications in top academic journals or conferences.
- Enjoys improving existing code: typing, tests, CI pipelines.
Location & work authorization: This internship is available only in France or the UK. Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration.
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: Paris
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
As an Engineering Manager on the Product Engineering team, you will lead the development of systems that power our AI platform and products. This role combines technical expertise with team leadership to ensure we build scalable, reliable solutions for millions of users.
Our product engineering teams, typically ten members, turn AI research into production systems. Your work will influence how our engineering organization operates and how we deliver products to developers and end users.
You will balance technical contributions with team management, partnering with Product Managers to align engineering work with business objectives. The role is key to maintaining engineering standards, clear processes, and consistent delivery.
What You Will Do
- Serve as the primary contact for your team, removing obstacles to execution.
- Own delivery of your team’s roadmap, ensuring projects meet quality and performance standards.
- Partner with Product Managers to define roadmap, scope initiatives, and drive prioritization.
- Contribute to architecture, system design, and code reviews, leading by example.
- Define and evolve team processes to maintain clarity as the team scales.
- Challenge engineers to take ownership and increase team resilience through knowledge sharing.
- Hold your team accountable for results and execution.
- Keep the team engaged in product direction.
What We're Looking For
- Technical expertise in building scalable systems.
- Experience leading engineering teams.
- Ability to balance technical work with team management.
- Experience partnering with Product Managers to align goals.
- Ability to build team culture and establish processes.
- Ability to improve engineering standards and ensure quality.
- Experience shaping engineering organizations.
- Experience turning research into production systems.
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: Paris
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
As a Backend Engineer on the Engineering team, you will build the core systems that power our AI platform. Our team develops the backend infrastructure and APIs that enable Studio, Vibe, and Vibe Code, shaping how millions of users and developers interact with our technology. Your work will directly affect the reliability, performance, and scalability of our products.
We focus on creating robust, high-performance systems that support authentication, billing, AI tooling, and developer experience. By joining us, you will contribute to a platform that enables both internal teams and external users to build and deploy AI applications.
What You Will Do
- Design, develop, and maintain scalable backend features and APIs that power our AI platform.
- Ensure high performance and reliability across distributed systems serving millions of users.
- Build and improve systems for authentication, billing, AI tooling, and developer experience.
- Design and implement secure, scalable architectures to support our growing products.
- Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
- Write clean, maintainable, and well-documented code.
- Partner with cross-functional teams to deliver end-to-end features.
- Solve complex engineering challenges and integrate new technologies into production.
What We're Looking For
- Experience designing and building scalable backend systems and APIs.
- Strong problem-solving skills and ability to tackle complex engineering challenges.
- Experience with distributed systems and performance optimization.
- Ability to write clean, maintainable, and well-documented code.
- Experience with system architecture and secure, scalable design.
- Strong collaboration skills and ability to work with cross-functional teams.
- Experience with modern backend frameworks and technologies.
- Eagerness to learn, iterate, and deliver products.
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.
Задачи:
— написание и поддержка Api и Web автотестов на Python (в том числе smoke, интеграционные, e2e)
— анализ allure отчетов прогона автотестов в CI, локализация и заведение дефектов
— рефакторинг легаси автотестов
— работа с Jira (управление задачами, багами, релизами), анализ и ревью документации в Confluence
— взаимодействие с командой разработки для уточнения логики работы сервисов
Требования:
1. Обязательные требования:
— понимание теории тестирования (опыт работы ручным тестировщиком от 1 года)
— опыт разработки автотестов от 2 лет (Python 3 + Pytest)
— опыт работы с requests, pytest, Selenium или Playwright, SQLAlchemy, pydantic
— обязателен опыт работы с LLM
— опыт работы с Jenkins или с любым другим инструментом CI/CD
— опыт работы с GIT на уровне выше среднего, понимание gitflow
— понимание как устроены REST запросы, заголовки, параметры, тела запросов, виды аутентификации
— знание принципов ООП, паттернов разработки, умение писать масштабируемый код для дальнейшей разработки
— знание клиент-серверной архитектуры
— опыт работы с базами данных Postgres, Mongo
— опыт работы с kafka
— опыт работы с ELK / Grafana
— знание SQL (SELECT, JOIN)
— опыт проведения code review
— умение читать allure отчет
— опыт работы с postman/insomnia, devtools
2. Soft Skills:
— самостоятельность
— ответственность за качество продукта / своей зоны
— умение задавать вопросы и уточнять требования
— коммуникабельность
— умение работать в команде
— умение работать в условиях быстро меняющихся требований
— умение соблюдать договорённости и сроки
Условия:
— удобный офис AgileHome около станции метро Кутузовская с комфортными условиями (столовые, кафе, бесплатные кухня, спортзал, парковка, зоны отдыха)
— конкурентоспособная зарплата (оклад плюс бонусы)
— возможность использовать современные технологии
— полный соцпакет (включая добровольное медицинское страхование)
— обширный выбор образовательных программ и сертификаций за счёт компании
— программу льготного кредитования в Сбере
— скидки у партнёров компании
— шанс поучаствовать в масштабных инновационных проектах.
Location: Denmark; Germany; Poland; Praha, Prague, Czech Republic
Who we are
We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account.
We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want.
Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders.
Our culture
Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it.
That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones.
About the Role
Client Services Manager sets the standard for exceptional client experiences. This role blends hands-on leadership with operational excellence—driving performance, streamlining processes, and building a high-performing team. You’ll lead by example, inspire your team to exceed expectations, and continuously improve service delivery, all while fostering a collaborative, client-first culture.
Reporting line
: Head of Client Services
Location:
Remote
Responsibilities
Lead, mentor and develop a team of client service associates - set clear expectations, give honest feedback, and run regular reviews that actually help people level up
Own team workload, coverage and cross-functional collaboration so every client gets a fast, meaningful answer
Build a culture of accountability, continuous improvement and client-first thinking. Set the standard by living it yourself
Define & refine service standards, processes, and playbooks, making sure they’re followed in practice, not just on paper
Play a key role in incident management, ensuring issues are brought to light swiftly
Convert the queue to actionable insights, identifying trends and patterns to address
Work closely with Service Design on system optimisation and client experience
Qualifications
3+ years of experience in prime brokerage or similar financial markets exposure
A proven track record of leading, coaching and developing people, managing performance and running a service team day to day
Excellent communication and relationship management skills. You build trust quickly, with clients and colleagues alike
Strong problem-solving skills & ability to coordinate multiple stakeholders towards a fast resolution
High attention to detail and a strong control & risk mindset
What we offer*
A competitive salary that reflects what you bring
Fully remote - enjoy the freedom to work from anywhere
Corporate Macbook
Top-tier tech stack: Claude Code, in-house app building platform, Gemini Enterprise
Innovative & inspiring culture, autonomous and informal work environment
Extended benefits: choose from: Health insurance/extra annual leave/wellbeing program
Ongoing education & training programs
Opportunity to network and connect at Corporate Events
Team off-sites and paid business trips when needed
Global career opportunities
*Benefits/perks vary depending on the nature of your employment with the company and the country where you work
EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/.
We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention.
Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.
Location: Palo Alto; New York; San Francisco
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
As an AI Scientist, you will research and develop novel methods to advance the capabilities of large language models. This role exists to push the boundaries of what AI can achieve, enabling Mistral to deliver systems that transform how businesses operate and integrate into daily life.
You will join a team of engineers and scientists focused on building tooling and infrastructure to train, evaluate, and analyse AI models at scale. Your work will span multiple use cases and modalities, from reasoning and code generation to text, image, and speech processing.
The impact of this role is far-reaching, as you will collaborate cross-functionally to ship AI systems that have real-world applications and open-source frontier models for global benefit.
WHAT YOU WILL DO
- Research and develop innovative methods to advance the frontier of large language models.
- Build tooling and infrastructure to enable large-scale training, evaluation, and analysis of AI models.
- Collaborate with scientists, engineers, and product teams to deploy AI systems with tangible real-world impact.
- Design and implement solutions that address complex challenges in AI model development and deployment.
- Contribute to the open-source community by releasing cutting-edge models and tools.
WHAT WE'RE LOOKING FOR
- A strong publication record in a relevant scientific domain, such as machine learning or natural language processing.
- High proficiency as a software engineer in at least one programming language, such as Python, Rust, Go, or Java.
- Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes.
- A self-starter mindset, with the autonomy to drive projects forward and the ability to work effectively in a team.
- Experience with training large transformer models in a distributed manner.
- Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment.
- Experience with audio or speech processing, including input/output and NLP.
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: Erevan, Armenia; Batumi, Georgia; Tbilisi, Georgia
Workplace: remote
At TechBiz Global, we are providing recruitment services to our TOP clients from our portfolio. We are looking for a
Junior Java Developer(Remote)
for our client’s growing team and work closely with clients to drive success.
This is a remote position only from Armenia, Georgia and Turkey.
1+ years of hands-on software development experience
Proven professional experience with Java development
Solid understanding of Object-Oriented Programming (OOP), analysis, and design principles
, including common design patterns
Good knowledge of SQL
and working with relational databases
Experience with the Spring Framework / Spring Boot
Good command of English
, both written and spoken
Responsibilities
Participate in the design, development, testing, and maintenance of Java-based applications
Write clean, efficient, and well-documented code following best practices and coding standards
Support the development of backend services and APIs using
Java
and the
Spring Framework
Collaborate with cross-functional teams, including product, QA, and senior developers, to deliver high-quality software solutions
Assist in troubleshooting, debugging, and resolving technical issues
Contribute to database-related tasks, including writing and optimizing
SQL
queries
Take part in code reviews and learn from feedback to continuously improve code quality
УдалённоErevan, Armenia; Batumi, Georgia; Tbilisi, Georgia; This is a remote position only from Armenia, Georgia and Turkey
Наша команда разрабатывает AI-продукты для управления талантами — от внешнего найма до внутренней мобильности. Мы автоматизируем ключевые этапы рекрутмента, чтобы сделать процесс быстрее и удобнее. Среди наших решений — ГигаРекрутер, AI-помощник для первичных интервью с кандидатами, и предиктивная система подбора внутренних сотрудников на роли и проекты. Это позволяет HR-партнерам и руководителям формировать кадровые резервы без участия рекрутера, усиливая команды и развивая бизнес.
Задачи:
— написание и поддержка Api и Web автотестов на Python (в т.ч. smoke, интеграционные, e2e)
— анализ allure отчетов прогона автотестов в CI, локализация и заведение дефектов
— рефакторинг легаси автотестов
— работа с Jira (управление задачами, багами, релизами), анализ и ревью документации в Confluence
— взаимодействие с командой разработки для уточнения логики работы сервисов
Требования:
1. Обязательные требования
— понимание теории тестирования (опыт работы ручным тестировщиком от 1 года)
— опыт разработки автотестов от 2 лет (Python 3 + Pytest)
— опыт работы: requests, pytest, Selenium или Playwright, SQLAlchemy, pydantic
— обязателен опыт работы с LLM
— опыт работы с Jenkins или с любым другим иструментом CI/CD
— опыт работы с GIT на уровне выше среднего, понимание gitflow
— понимание как устроены REST запросы, заголовки, параметры, тела запросов, виды аутентификации
— знание принципов ООП, паттернов разработки, умение писать масштабируемый код для дальнейшей разработки
— знание клиент-серверной архитектуры
— опыт работы с базами данных Postgres, Mongo
— опыт работы с kafka
— опыт работы с ELK / Grafana
— знание SQL (SELECT, JOIN)
— опыт проведения code review
— умение читать allure отчет
— опыт работы с postman/insomnia, devtools
2. Soft Skills:
— Самостоятельность
— Ответственность за качество продукта / своей зоны
— Умение задавать вопросы и уточнять требования
— Коммуникабельность
— Умение работать в команде
— Умение работать в условиях быстро меняющихся требований
— Умение соблюдать договорённости и сроки
Условия:
— удобный офис AgileHome около станции метро Кутузовская с комфортными условиями (столовые, кафе, бесплатные кухня, спортзал, парковка, зоны отдыха)
— конкурентоспособная зарплата (оклад плюс бонусы)
— возможность использовать современные технологии
— полный соцпакет (включая добровольное медицинское страхование)
— обширный выбор образовательных программ и сертификаций за счёт компании
— программу льготного кредитования в Сбере
— скидки у партнёров компании
— шанс поучаствовать в масштабных инновационных проектах.
The Role:
As a Senior PHP Developer, you will join a team dedicated to advancing software engineering. You will make key decisions on software processes and use Kubernetes and Terraform on PHP, Go, React & Angular on AWS. Responsibilities include designing and implementing new features/projects, maintaining and refactoring existing web applications such as the company's website, registration forms, Members Area, and internal web services, researching and integrating new web technologies, writing tests that run continuously on the CI server to ensure code quality and maintain high test coverage, and addressing and resolving support tickets for issues within your projects.
Main requirements:
— BSc/MSc in information technology or relevant degree
— At least 3 years of experience in a similar position
— Very good knowledge of PHP 8+, MySQL, Redis, Git
— Very good understanding of object-oriented programming principles
— Experience in creating and consuming web services
— Experience with modern PHP frameworks
— Experience in writing tests with PHPUnit
— Ability to research and adapt new technologies
— Strong organisational skills and ability to prioritise
— Problem solving and analytical skills
— Ability to work independently and integrate well within a team
Advantages:
— Experience in Symfony framework
— Experience in development of REST APIs
— Experience in software development practices like design patterns, SOLID principles, DRY
— Very good understanding of security practices (OWASP)
— Experience with cloud providers (e.g. AWS)
— Experience in database query optimization
— Experience in creating composer packages
Benefits:
— Attractive remuneration package
— Intellectually stimulating work environment
— Continuous personal development and international training opportunities
Hiring process:
— Online Technical Challenge
— Intro Chat with Talent Acquisition
— Role-Specific Take-Home Task
— Final Interview
Location: Worldwide
Workplace: hybrid
Job Description & Qualifications
The Safey Manager is responsible for:
· Ensuring the overall readiness of the vessel’s safety equipment, including Life Saving Appliances, Fire Fighting Appliances, and watertight integrity.
· Maintaining the safety equipment certification and records in compliance with the Company filing structure.
· Working closely with the Deck and Engine Management Team to ensure the safety, certification and survey of all Lifting Appliances and associated equipment.
· Ensuring a robust Safety & Health culture with the aim to prevent accidents.
· Investigating and reporting incidents as well as providing recommendations for corrective and preventive actions.
· Ensuring compliance with statutory health, safety and hygiene requirements, applicable Company’s requirements as well as the provisions of the MCA “Code of Safe Working Practice”.
· Communicating Company’s safety objectives and targets to all Officers and Crew and encouraging their participation and contribution.
· Conducting safety and health inspections at regular intervals as well as reporting defects and safety observations to the Master.
· Ensuring regular preventive maintenance, inspection and testing of all safety equipment.
· Supervision of Safety Officer and Marine Admin (Safety).
· Working closely with the Engineering Department regarding the servicing and repair of all safety equipment.
· Ensuring that safety familiarization, training, drills and emergency exercises are conducted in full compliance with statutory and company requirements.
· Ensuring STCW, CoC and Company required certificates are valid for all seafarers on-board.
· Ensuring that corrective and preventive actions are implemented timely and effectively.
· Ensuring that the Muster List and all associated software and documentation is fully up to date and displayed as required.
· Reviewing the Company’s Management System on a regular basis and reporting to the Staff Captain proposals for improvement. The Safety Manager reports and is accountable to the Staff Captain. Mandatory qualifications: Certification as per latest Qualification Requirements Matrix GOATT-3.1 Ship/client specific qualifications N/A CCS specific qualifications Familiarization (FAM) – on board training as per MS
3/3 MONTH ROTATION
15/09/2026
Location: South Africa; Philippines; Pakistan; United Arab Emirates; India; Jamaica
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a Zoho Automation Specialist to serve as the architect behind our business efficiency. In this role, you will be responsible for transforming complex manual processes into streamlined, automated workflows that drive growth. You will join a forward-thinking team where your technical expertise directly impacts our scalability and operational excellence. If you are passionate about the Zoho ecosystem and love solving puzzles through code and logic, this is the place to build your career.
Key Responsibilities
Design, develop, and implement custom end-to-end automation solutions across the Zoho One suite, with a primary focus on Zoho CRM.
Write complex Deluge scripts to connect various Zoho applications and handle data manipulation.
Create and maintain sophisticated workflows, blueprints, and custom functions to automate lead routing, sales processes, and reporting.
Architect and manage API integrations between Zoho and third-party applications to ensure seamless data flow.
Troubleshoot system bottlenecks and optimize existing configurations for peak performance.
Collaborate with internal stakeholders to translate business requirements into technical specifications.
Requirements
2+ years of professional experience as a Zoho Developer or Automation Specialist.
Mastery of the Zoho One ecosystem, specifically Zoho CRM, Zoho Desk, and Zoho Creator.
Proficient in Deluge scripting and deep understanding of Zoho’s API structures.
Proven track record of building automated workflows that solve real-world business problems.
Strong analytical skills with the ability to map out complex logic flows.
Excellent communication skills and the ability to work independently in a fast-paced environment.
Zoho Certified Creator or Specialist certifications.
Experience with Zoho Analytics for advanced data visualization.
Basic knowledge of HTML, CSS, or JavaScript.
Previous experience in a high-growth startup or SaaS environment.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Lagos, Nigeria
Who We Are
We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role
The Java Developer will join one of our core engineering teams Banking, Loans, Core Technology Platform, or Cards to design, develop, and maintain the backend systems that power our financial products and internal platforms.
This role is ideal for a software engineer who is passionate about backend development, software craftsmanship, and building scalable, high-performance systems. You'll work alongside talented engineers in a collaborative environment that values clean architecture, code quality, testing, observability, and continuous improvement.
What You Will Do
• Design, develop, test, and maintain backend applications using Java and Spring Boot.
• Build scalable, secure, and high-performing backend services that support business-critical financial products.
• Develop and maintain RESTful APIs and microservices.
• Write clean, maintainable, and production-ready code with a strong focus on • reliability and performance.
• Collaborate with Product, Engineering, Infrastructure, and QA teams throughout the software development lifecycle.
• Participate in architecture discussions, code reviews, and technical design sessions.
• Monitor, troubleshoot, and optimize application performance.
• Build and support distributed systems using modern cloud-native technologies.
• Implement messaging and event-driven solutions using Kafka.
• Contribute to engineering best practices, automated testing, and continuous improvement initiatives.
Requirements
What You Bring
Educational Qualification
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
Experience
• Proven experience developing backend applications using Java.
• Strong experience with Spring Boot or similar Java frameworks.
• Experience building and maintaining distributed systems in production environments.
• Experience working in cloud-native environments is highly desirable.
• Experience in FinTech, banking, payments, lending, or other financial services is an added advantage.
Professional Competencies
• Strong proficiency in Java.
• Solid experience with Spring Boot.
• Experience developing RESTful APIs and microservices.
• Working knowledge of AWS, preferably Amazon EKS.
• Experience with MySQL or other relational databases.
• Experience with Kafka and event-driven architectures.
• Knowledge of Redis caching technologies.
• Familiarity with monitoring and observability tools such as Grafana and Prometheus.
• Understanding of software design principles, testing methodologies, and engineering best practices.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
This Role Is Ideal For You If:
• You enjoy building scalable backend systems.
• You take pride in writing clean, maintainable, and well-tested code.
• You are passionate about software engineering best practices and continuous improvement.
• You enjoy solving complex technical problems.
• You thrive in collaborative, fast-paced engineering teams.
• You are excited by the opportunity to build products that power millions of financial transactions.
You May Not Enjoy This Role If:
• You prefer front-end or UI-focused development.
• You are uncomfortable working with distributed systems and cloud technologies.
• You dislike code reviews, testing, or maintaining production systems.
• You prefer highly isolated work with minimal collaboration.
• You are not interested in building reliable, scalable software.
Benefits
What's In It For You
• Opportunity to work in an innovative fintech company with a global reach.
• Exposure to modern technologies including Java, Spring Boot, AWS (EKS), MySQL, Kafka, Redis, Grafana, and Prometheus.
• Opportunity to contribute to high-impact financial products used by millions of customers.
• Collaborative engineering culture focused on technical excellence and continuous learning.
• Engaging technical challenges with opportunities to influence product development.
• Professional growth within a globally distributed engineering team.
• Competitive compensation and excellent career development opportunities.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Staff Backend Engineer - Adaptive Telemetry, Databases
This is a remote position. We are looking for candidates in the Canadian time zones.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases department owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. We offer our databases as a Cloud service supporting Grafana Cloud.
Adaptive Telemetry Group
The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of
Adaptive Metrics
,
Adaptive Logs
,
Adaptive Traces
and Adaptive Profiles.
Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
What will you be doing:
Drive technical strategy and roadmap.
Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
Lead end-to-end delivery of large, cross-functional projects.
Own planning, design, execution, rollout and long-term operation of large initiatives.
Own architecture, reliability, performance and cost for critical systems.
Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
Define SLOs/SLIs and lead incident response.
Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
Improve observability, automation and operational readiness.
Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
Align stakeholders and remove blockers.
Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
Mentor and grow engineering talent.
Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
Represent engineering internally and externally.
Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs
Proven delivery of large distributed systems.
Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
Strong systems-design instincts.
Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
Hands-on cloud and platform experience.
Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
Reliability and performance ownership.
Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
Excellent coding and design skills.
You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
Comfort with AI-assisted development.
We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
Experience with messaging and telemetry.
Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
Influence without authority.
Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
Strong communicator.
Clear written and verbal communication that works across engineers and non-technical stakeholders.
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD
186,368
- CAD
223,642
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Staff Backend Engineer - Adaptive Telemetry, Databases
This is a remote position. We are looking for candidates in the USA time zones.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases department owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. We offer our databases as a Cloud service supporting Grafana Cloud.
Adaptive Telemetry Group
The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of
Adaptive Metrics
,
Adaptive Logs
,
Adaptive Traces
and Adaptive Profiles.
Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
What will you be doing:
Drive technical strategy and roadmap.
Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
Lead end-to-end delivery of large, cross-functional projects.
Own planning, design, execution, rollout and long-term operation of large initiatives.
Own architecture, reliability, performance and cost for critical systems.
Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
Define SLOs/SLIs and lead incident response.
Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
Improve observability, automation and operational readiness.
Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
Align stakeholders and remove blockers.
Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
Mentor and grow engineering talent.
Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
Represent engineering internally and externally.
Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs
Proven delivery of large distributed systems.
Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
Strong systems-design instincts.
Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
Hands-on cloud and platform experience.
Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
Reliability and performance ownership.
Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
Excellent coding and design skills.
You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
Comfort with AI-assisted development.
We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
Experience with messaging and telemetry.
Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
Influence without authority.
Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
Strong communicator.
Clear written and verbal communication that works across engineers and non-technical stakeholders.
Compensation & Rewards:
In the United States, the Base compensation range for this role is USD
174,986
- USD
209,983
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
ОфисleadParis; 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
leadBenefits 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
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
СтажёрParis; London; Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome; Location & work authorization: This internship is available only in France or the UK; 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
Paris; 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
Paris; 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
ГибридPalo Alto; New York; San Francisco; 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
seniorSingapore
УдалённоSouth Africa; Philippines; Pakistan; United Arab Emirates; India; Jamaica
География найма не уточнена
Canada (Remote)
United States (Remote)
Все вакансии в одном месте - страница 254 · Job Hunters
