Mirantis: Senior DevOps Engineer
Company:
Location: Remote
Published: 2026-06-16
Headquarters: Riga, Latvia
Company DescriptionAbout MirantisMirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.Job DescriptionWe are looking for an experienced Senior DevOps Engineer to lead the design, implementation, and optimization of customer infrastructure and CI/CD pipelines. In this role, you will collaborate with cross-functional teams to ensure robust system performance, scalability, and security. You will also mentor junior team members, drive automation initiatives, and contribute to strategic decisions regarding infrastructure and deployment processes. This position is ideal for a seasoned professional with a strong background in cloud technologies, containers, scripting, and DevOps best practices.Main Responsibilities:Design and deploy customer infrastructure on different cloud providers and bare metal environmentsDesign and manage Kubernetes clusters for applications with microservices architectureDevelop and optimize CI/CD pipelines for seamless software deliveryDesign and monitor and operate development/staging/production environmentsFacilitate knowledge transfer to the customers during deployment projectsWork with geographically distributed international teams on technical challenges and process improvementsMentor and help grow other DevOps EngineersContribute to Mirantis deployment knowledge baseContinuously improve tooling and technologiesQualificationsRequired Skills/Abilities: Proven experience in DevOps engineeringSolid IT automation experienceSolid knowledge of Linux OS, storage and networkingBackground in microservices architecture and distributed systemsSolid knowledge in Kubernetes and related toolsPractical experience in application containerization: Docker, HelmSolid practical experience in Bash/Groovy/Python/Go programming (at least one language)Excellent English language skills - written and oralExcellent customer-facing communication skillsStrong analytical and problem-solving skillsWillingness and ability to travel as needed for business requirements and onsite project deliveryWill be a plusExperience in AI/ML models lifecycle, including development, deployment, monitoring, and maintenanceProficiency in Openstack and related softwareEducation and Experience:Bachelor’s degree in Computer Science or related fieldAt least 5 years of DevOps experience or in similar roleAdditional InformationWhat does Mirantis offer you?Work in a global, collaborative, remote-first culture that rewards initiative and execution.Play a pivotal role in shaping the next era of cloud and AI modernisation.Manage high-impact enterprise accounts with immediate opportunity for growth.Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies.Be a part of cutting-edge, open-source innovation.Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued.Professional development and training.Attend conferences and working groups.Customized workstation (macOS, Windows).Professional development and training.Competitive compensation, performance incentives, and opportunities for advancement.It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [email protected]By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities.We are a Leader for Container Management in G2 (#2 after AWS)!We are a Leader for Container Management in G2 (#2 after AWS)!
To apply: https://weworkremotely.com/remote-jobs/mirantis-senior-devops-engineer
Wealthsimple: Sr Data Scientist, Growth Product
Company:
Location: Remote
Published: 2026-06-16
Headquarters: Remote / Canada
Build something people loveWealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, we take financial services that are often confusing and expensive and make them transparent and low-cost for everyone. We’re the largest fintech company in Canada, with 3+ million users who trust us with more than $100 billion in assets. And we’re just getting started. We’re looking for someone who thinks big, sweats the small stuff and keeps things simple. You’ll join a high-bar, fast-paced team where people are trusted to own their work, communicate openly, and ship things that improve our clients’ lives. Collaboration, humility, and an obsession over quality are how we get stuff done.The Growth Product Data Science team consists of data scientists with diverse educational backgrounds. Our team is responsible for leading data science initiatives across the global client experience – partnering with Consolidation, Product Marketing, Lifecycle Marketing, and Product Engagement to deliver quantitative insights, personalization, and predictive models that directly shape Wealthsimple's growth strategy.We are a full-stack data science team, meaning we own the end-to-end lifecycle: data modeling, dashboards, predictive models, experiment design and analysis, ad-hoc analysis, and opportunity identification. We operate as consultative partners to our stakeholders – solving problems, identifying opportunities, and owning targeting – not executing tasks. We measure our success by the dollar value we deliver, the ideas we surface that get prioritized, and the model-based solutions we ship that outperform the status quo.This role will primarily partner with our Consolidation product team, which is focused on creating an incredible first 30-day experience for new clients and driving them to make Wealthsimple their primary financial relationship. The team's work spans onboarding, product-led consolidation, the Home experience, Tiers, and account discovery. With touchpoints across so many critical surfaces, you'll be uniquely positioned to have outsized impact across all of these areas.In this role, you will have the opportunity to:Be the dedicated data science partner to the Consolidation product team, owning the analytics and modeling that power product-led growth across onboarding, activation, and full consolidation.Design and analyze rigorous product experiments across the client journey, from first funding through to full asset consolidation, using A/B testing, non-inferiority tests, and other causal inference methods to measure the impact of product changes on key growth metrics.Partner with the team's Personalization DRIs to incorporate machine learning models, such as next-best-account recommendations and personalized value propositions, into product flows where they will deliver the highest impact to clients.Develop deep product analytics to understand how clients move through the consolidation funnel, linking external accounts, reaching their first $5k, adopting multiple products, and identify where the biggest opportunities exist to accelerate that journey.Create and maintain data models and dashboards that monitor consolidation KPIs (Premium+ conversion, registrant-to-funded rates, linking rates, activation milestones) with a focus on data quality, accessibility, and efficiency.Collaborate cross-functionally with Product, Engineering, Growth, and Lifecycle Marketing to translate analytical findings into product decisions and shipped features.Proactively identify and size growth opportunities by being closest to the data, and then partner with stakeholders to get those opportunities prioritized and executed.Build automation tools and pipelines that increase team efficiency and scalability.Contribute to the team's culture of learning and knowledge sharing. Teach and learn from your teammates, and help make others successful.Take ownership and ship iteratively; believe that simple is better and Occam's razor is your friend.Requirements:5+ years of experience in data science, decision science, or a similar quantitative role, including experience as the primary data scientist for a product domain or function.Strong product analytics skills. A deep experience understanding user funnels, activation metrics, and translating product usage data into actionable growth insights.Excellent stakeholder management and communication skills. Able to partner closely with product managers and present complex analytical findings to senior leadership.Curiosity and ownership: willing to dive deep into product strategies, business context, and data to surface insights proactively while handling ambiguity.Deep expertise in experimental design and causal inference (A/B testing, non-inferiority tests, factorial designs, power analysis, and related methods). This is core to the role.Strong technical skills in SQL and Python, with hands-on experience in data pipeline tools such as dbt and Airflow.Strong understanding of data visualization and analytics engineering principles.Results-driven mindset: comfortable keeping things as simple as possible to achieve product goals.Able to build and maintain multi-functional relationships with various teams across the business.Prior experience in growth, go-to-market, or product-led growth data science is a strong plus (but not essential).Experience in fintech or financial services is a plus.Experience mentoring or coaching junior data scientists is a plusCompensation & Equity Base salary range: For this role, candidates located in Canada can expect a base salary range of CAD $151,200 - $189,000. Actual compensation is determined based on skills, experience, and role level. Exceptional candidates may be considered above the top of the range, and pay can increase quickly for those who make a big impact in the role. Total compensation: In addition to base salary, this role includes equity compensation. We use clear job levels and market-based salary bands to ensure compensation is fair and consistent across the company.Why Wealthsimple? Top-tier health benefits and life insurance Long-term group savings with employer match using our Wealthsimple for Business platform 20 vacation days + 4 wellness days per year, and unlimited sick and mental health days️ 90 days away program: Employees can work outside of Canada for up to 90 days per calendar year A wide variety of peer and company-led Employee Resources Groups (e.g., Rainbow, Women of Wealthsimple, Black @ WS) We’re a remote first team with over 1,500 employees across North America - and one of the best things about working here is the people. You’ll be collaborating with incredibly talented, curious, and driven teammates who care deeply about doing great work. Be a part of our Canadian success story and help shape the financial future of millions.Read our Culture Manual and learn more about how we work. Technology & Innovation at WealthsimpleWe believe the future belongs to those who innovate boldly. At Wealthsimple, every team member is expected to lean into new technologies, including AI, and tooling to rethink how we work, solve problems faster, and create even greater value. We're looking for people who are not just comfortable with change but energized by it. Our commitment is to build a company that evolves at the pace of the world around us, and we want you to help lead that future.DEI StatementAt Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility StatementWealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know, and we will work with you to provide the necessary support and make reasonable accommodations to facilitate your participation. We are continuously working to improve our accessibility practices and welcome any feedback or suggestions on how we can better accommodate candidates with accessibility needs.At Wealthsimple, we want interviews to feel like genuine conversations. To support this, we use AI transcription during recruiter interviews. This allows recruiters to be fully engaged, ask thoughtful follow-up questions, and ensure your experiences are captured accurately. You’ll always have the choice to opt in or out before we begin.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
To apply: https://weworkremotely.com/remote-jobs/wealthsimple-sr-data-scientist-growth-product
