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Location: Beograd, Serbia Workplace: hybrid About the role We’re looking for a highly autonomous Senior Data & ML Engineer who wants to be the true owner of how data works for the teams they support, delivering solutions completely end-to-end, from initial scoping and design through to delivery, implementation, and full business adoption. Operating with full autonomy, you will work directly with both commercial stakeholders (Product, Finance, Operations, Compliance, and Marketing) and engineering teams. You will translate complex needs into well-defined and well-modelled data products, using scalable processes and pipelines, ensuring those solutions are trusted, documented, and actively used to drive business value. Beyond foundational data architecture, you will support and lead machine learning engineering efforts. You will lead machine learning engineering efforts by transitioning predictive models into production. This involves building the infrastructure, automated MLOps pipelines, and serving architectures required to deploy, monitor, and maintain machine learning solutions at scale. What You’ll Be Doing Data Engineering and Platform Design, build, and maintain data pipelines and transformations on Databricks using Python, PySpark, and SQL. Deploy, operationalize, and monitor machine learning models (MLOps) in production environments. Build and maintain data marts as the primary source of truth for key business domains. Apply data modelling practices (e.g., dimensional modelling, medallion architecture) to maintain data consistency and reusability. Implement data quality checks, monitoring, and alerting. Optimise pipeline performance and cost-efficiency. Lead and actively contribute to engineering standards and process improvements across the data team. Ownership and Stakeholder Management Act as the primary data partner for specific business areas, understanding their processes, goals, and pain points. Deliver end-to-end solutions, managing scoping, discovery, design, delivery, user adoption, and iteration. Gather and translate business requirements into technical solutions. Communicate with engineering peers and commercial stakeholders to define priorities and manage trade-offs. Identify opportunities where data or machine learning can improve decisions, efficiency, or customer outcomes. Enablement and Self-Service Build and maintain datasets that power reporting and dashboards in Preset. Onboard and support users on Preset to promote data self-sufficiency. Promote data practices, including data definitions, documentation, and governance. What You’ll Need to Be Successful 5+ years of experience as a Data/ML Engineer, with a track record of independently owning data/ML solutions from scoping to adoption. Proficiency in Python, SQL, and PySpark/Spark. Experience with modern data platforms, such as Databricks (Delta Lake, Unity Catalog, MLflow, workflows). Stakeholder management skills, with the ability to navigate commercial and engineering discussions, manage expectations, and drive cross-functional decisions. Data modelling skills and experience designing data marts for analytics and reporting. Experience building production pipelines with orchestration, testing, monitoring, and version control. Experience with BI tools (e.g., Preset, Tableau, Metabase, Power BI) and data usability principles. Demonstrated accountability for project outcomes and commercial impact. Clear, structured communication in English. Nice to Have Experience in ML Engineering, including deploying machine learning models to production, maintaining MLOps pipelines, and integrating models into data platforms. Experience in fintech, financial services, or payments, particularly regarding transaction, reconciliation, settlement, or regulatory reporting data. Experience with sensitive or regulated data and an understanding of data privacy and governance (e.g., GDPR). Experience with infrastructure as code (Terraform/Tofu), cloud platforms (AWS, Azure, or GCP), and data engineering CI/CD. Experience mentoring engineers or analysts. Interest in applying AI tools to improve data engineering productivity and quality. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

— Strong RESTful API knowledge and understanding of HTTP methods and API design. — Proficiency with Swagger, Postman and linting tools such as Spectral.

You’ll design and implement scalable, efficient, and reliable data architectures that support business and analytical needs. You’ll build and maintain data pipelines, ETL processes, and integration solutions for large volumes of structured and unstructured data.

Act as a trusted/strategic advisor for customers, driving the entire Customer Success lifecycle from onboarding to expansion. Become the trusted Cribl product expert as customers build out observability pipelines to transform data in their organization.

You'll design, build, test, deploy, and maintain scalable, reliable platform services and shared libraries. You'll contribute to platform and system architecture decisions with a focus on reliability, scalability, and developer experience.

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. Improve automation reliability, reduce flakiness, and optimize execution efficiency. Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications Bachelor’s degree in Computer Science or equivalent 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. Strong experience testing RESTful APIs, microservices, and distributed architectures. Proficiency in Python, Java, JS or similar languages for automation development. Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). Familiarity with databases, monitoring, and observability tools. Strong understanding of SDLC, Agile methodologies, and release processes. Excellent problem-solving, debugging, and communication skills. Preferred qualifications Experience validating ML outputs using statistical analysis or scenario-based testing approaches. Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). Prior work in content moderation ML, security, fraud detection, or adversarial ML. Experience testing high-scale, low-latency online services. Experience with Databricks or similar ML platform tooling. Familiarity with Node.js, React, or modern frontend technologies. Experience testing mobile, console, or other non-PC platforms. What sets you apart Strong combination of automation engineering and delivery ownership. Ability to drive quality across complex cross-functional initiatives. Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. Proven risk management and dependency coordination skills. Ability to influence engineering teams and promote quality guidelines. Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $114,900 — $172,300 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

As a Solutions Engineer at Onebrief, you work where mission, engineering, and compliance meet. You'll own technical solution design and deployment readiness, translating customer requirements into secure, scalable deployment architectures.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Some of the world's largest companies and their law firms use Harvey’s AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Harvey allows high-performing professionals to gain deep domain knowledge faster, understand the big picture, and tackle more complex challenges in less time. Security is at the heart of what we do. Our customers trust us with their most sensitive data, and we take that responsibility seriously. As part of our team, you’ll help us maintain a secure, trustworthy, and compliant platform—an essential foundation for everything we build. As a Staff Infrastructure Security Engineer, you’ll set the technical direction for secure-by-default infrastructure security across Harvey’s platform, establishing the patterns and standards the broader engineering organization builds on. This includes designing and implementing processes and technologies for least privilege, isolating different components, managing attack surface, and implementing layers of tenant isolation on our multi-tenant SaaS offering. You’ll also create frameworks and repeatable patterns that enable our research and engineering teams to move quickly and independently—without sacrificing security. Our security program at Harvey is growing fast, so this is an incredible opportunity to get in at the beginning and shape the future of what Security at Harvey looks like. This team approaches security with an engineering-first mindset with our customers front and center to everything we do. WHAT YOU'LL DO - Incorporate secure design principles into our cloud architecture. - Establish reusable security patterns, standards, and guardrails that enable product and platform teams to build securely by default - Develop isolation mechanisms (e.g. sandboxing) in collaboration with our product engineering team - Review security-critical configuration changes and act as Codeowner for security-critical parts of our cloud configurations (everything is IaC) - Partner with Engineering and Product teams to: - Manage risks and vulnerabilities in our Cloud environment. - Translate security requirements into concrete engineering investments - Define infrastructure security architecture and multi-quarter roadmaps - Mentor and develop other security engineers on the team, raising the overall technical bar WHAT YOU HAVE - 8+ years experience in Security Engineering and/or Software Engineering - Demonstrated experience writing high-quality software, building production-grade infrastructure and raising the security bar across engineering teams. - Strong fundamentals in networking, operating systems, and cryptographic protocols - In-depth knowledge of Kubernetes, common misconfigurations, and privilege escalation vectors - Demonstrated ability to find weaknesses (e.g. privilege escalation) in real-world cloud environments - Experience applying security best practices in cloud environments (AWS, Azure, or Google Cloud) - Track record of driving cross-functional security initiatives and influencing engineering decisions across teams - Experience setting security standards and best practices at an organizational scale - (No experience with generative AI or legal required) BONUS - Familiarity with large-scale Infrastructure as Code (IaC) deployments - Familiarity with Kubernetes Admission Controllers and policy enforcement - Exposure to multi-cloud environments COMPENSATION RANGE $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-NP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Some of the world's largest companies and their law firms use Harvey’s AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Harvey allows high-performing professionals to gain deep domain knowledge faster, understand the big picture, and tackle more complex challenges in less time. Security is at the heart of what we do. Our customers trust us with their most sensitive data, and we take that responsibility seriously. As part of our team, you’ll help us maintain a secure, trustworthy, and compliant platform—an essential foundation for everything we build. As a Staff Infrastructure Security Engineer, you’ll set the technical direction for secure-by-default infrastructure security across Harvey’s platform, establishing the patterns and standards the broader engineering organization builds on. This includes designing and implementing processes and technologies for least privilege, isolating different components, managing attack surface, and implementing layers of tenant isolation on our multi-tenant SaaS offering. You’ll also create frameworks and repeatable patterns that enable our research and engineering teams to move quickly and independently—without sacrificing security. Our security program at Harvey is growing fast, so this is an incredible opportunity to get in at the beginning and shape the future of what Security at Harvey looks like. This team approaches security with an engineering-first mindset with our customers front and center to everything we do. WHAT YOU'LL DO - Incorporate secure design principles into our cloud architecture. - Establish reusable security patterns, standards, and guardrails that enable product and platform teams to build securely by default - Develop isolation mechanisms (e.g. sandboxing) in collaboration with our product engineering team - Review security-critical configuration changes and act as Codeowner for security-critical parts of our cloud configurations (everything is IaC) - Partner with Engineering and Product teams to: - Manage risks and vulnerabilities in our Cloud environment. - Translate security requirements into concrete engineering investments - Define infrastructure security architecture and multi-quarter roadmaps - Mentor and develop other security engineers on the team, raising the overall technical bar WHAT YOU HAVE - 8+ years experience in Security Engineering and/or Software Engineering - Demonstrated experience writing high-quality software, building production-grade infrastructure and raising the security bar across engineering teams. - Strong fundamentals in networking, operating systems, and cryptographic protocols - In-depth knowledge of Kubernetes, common misconfigurations, and privilege escalation vectors - Demonstrated ability to find weaknesses (e.g. privilege escalation) in real-world cloud environments - Experience applying security best practices in cloud environments (AWS, Azure, or Google Cloud) - Track record of driving cross-functional security initiatives and influencing engineering decisions across teams - Experience setting security standards and best practices at an organizational scale - (No experience with generative AI or legal required) BONUS - Familiarity with large-scale Infrastructure as Code (IaC) deployments - Familiarity with Kubernetes Admission Controllers and policy enforcement - Exposure to multi-cloud environments COMPENSATION RANGE $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-NP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO As a Software Engineer on Sierra’s Cloud Infrastructure team, you’ll own the foundation that every Sierra customer runs on. That includes our multi-tenant environments, where most of our customers and data live, and our isolated single-tenant environments for highly regulated enterprises. Sierra is expanding quickly across AWS and GCP, in regions across North America, Europe, and Asia-Pacific. We expect to roughly double our number of deployments over the next year. The work is very visible. Our deployments support the relationship with major customers, so you’ll see directly how your infrastructure affects customers and the business. Our challenges keep evolving, from scaling, reliability, and new compliance and regulations. ON THIS TEAM, YOU WILL: - Design, build, and operate Sierra’s cloud infrastructure across AWS and GCP (and soon Azure) using Terraform and Kubernetes. - Simplify and standardize our deployments so that adding a new region or environment is repeatable and predictable. We want to treat deployments like cattle, not pets. - Stand up and operate new multi-tenant regions and single-tenant environments for customers with strict regulatory or isolation needs. - Help build and run compliant environments, including our FedRAMP deployment. - Own and improve deploys and releases across our fleet, investing in tooling and developer experience so engineers can ship quickly and safely. - Build security guardrails that give enterprise customers confidence in our shared multi-tenant environment. - Work with our BYOC (Bring Your Own Cloud) team to make Sierra easy to deploy into customers’ own cloud environments. - Drive reliability across the platform through observability, incident response, root cause analysis, and postmortems. - Write production code, mostly in Go, to automate infrastructure and replace manual work with durable systems. WHAT YOU'LL BRING - 6+ years of hands-on software or infrastructure engineering experience, including building and operating production systems at scale. - Broad infrastructure experience on at least one major cloud (AWS, GCP, or Azure). Breadth and fundamentals matter more than expertise in one specific cloud. - Deep expertise in at least one layer of the stack, such as compute, orchestration, networking, or deploys, plus a real interest in owning the layers next to it. - Hands-on experience with infrastructure as code (Terraform preferred) and container orchestration (Kubernetes). - Strong coding skills and a bias toward automation and tooling. Go experience is a plus. - A pragmatic, scrappy approach. You can start with a rough prototype and evolve it into production ready. - Curiosity and flexibility. You adapt to new clouds, tools, and customer requirements instead of forcing every problem into one familiar pattern. - A degree in Computer Science or a related field, or equivalent professional experience. EVEN BETTER - Experience running infrastructure across multiple clouds and many regions or environments. - Experience with compliance-driven environments (FedRAMP, SOC 2, HIPAA, or financial services). - Experience building deploy systems, CI/CD, or internal developer platforms. - Experience deploying software into customer-managed cloud environments. - An SRE background, or experience leading reliability and incident management programs. - Experience with distributed databases such as DynamoDB or Spanner. - Experience at a fast-paced startup or on a small infrastructure team with broad scope. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Remote USA Workplace: Remote Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As a Senior Cloud Engineer I, you are the backbone of the infrastructure that powers Docebo’s global learning platform! You will architect, scale, and secure our AWS-based environments using cutting-edge DevOps and Platform Engineering practices. By building resilient automation and optimizing systems like our FedRAMP-regulated environments, you will directly empower engineering teams to deploy faster and keep millions of learners seamlessly connected. Get ready to solve high-impact technical challenges, elevate our cloud strategy, and shape the future of AI-driven learning!   ⚡ THE DAY-TO-DAY - Architect the Future: Own and evolve our AWS cloud infrastructure end-to-end, taking projects from initial blueprint through implementation and operations to guarantee ultra-high availability, performance, and scale. - Automate Everything: Design and implement self-service Infrastructure-as-Code (IaC) templates and automation workflows that crush manual toil and give product teams superpowers. - Fortify the Platform: Elevate our cloud security posture by partnering with Security and Compliance teams to maintain audit-ready FedRAMP configurations, eliminate drift, and streamline patching. - Partner for Impact: Collaborate closely with Engineering to launch new services seamlessly, jump into high-priority incident responses, and turn post-mortem insights into platform upgrades. - Optimize and Observe: Master systems like Datadog to keep eyes on platform performance, driving decisions that optimize system resilience, speed, and cost-efficiency. - Level Up the Team: Inspire and mentor junior Cloud Engineers through code and design reviews, keeping Docebo at the forefront of modern cloud trends.   💪 YOUR SUPERPOWERS - Cloud Mastery: Proven expertise managing complex, production-grade AWS infrastructure with 4–8 years of experience in cloud systems or platform engineering. - Infrastructure as Code Ace: Intermediate to advanced mastery with IaC tooling like Terraform, CloudFormation, or CDK to provision and scale complex environments. - Containerization & Linux Powerhouse: Hands-on proficiency with Linux, Docker, and running microservices on Kubernetes/EKS. - Observability & CI/CD Champion: Strong experience using Datadog (or similar observability tools) alongside Git/GitLab for seamless code delivery and automation. - DevOps Mindset & Scripting Skills: Solid understanding of DevOps methodologies paired with fluent scripting skills in Python, Bash, or Go. - Problem-Solving Superhero: Exceptional analytical skills, sharp attention to detail, and a collaborative, team-first approach to solving complex engineering problems.   NOTE: U.S. citizenship is required for this position because its duties require access to restricted federal customer environments that limit access to U.S. citizens. Preference will be given to candidates who live in, or are willing to work, Eastern Time hours.   ⭐ BONUS POINTS - Compliance Ninja: Direct experience maintaining and patching FedRAMP-regulated or highly compliant cloud environments. - Academic Foundation: A Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent real-world experience).   🗓️ OUR INTERVIEW PROCESS Step 1: We’ll kick things off with a 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and make sure we’re aligned. Step 2: A 45-60-minute video call with the hiring manager, where they’ll dig deeper into your experience, approach, and what excites you most about this opportunity. Step 3: A technical deep-dive and system design discussion with key members of our Cloud & Platform Engineering team. Step 4: A final wrap-up conversation with engineering leadership to discuss team culture, growth, and next steps.   OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.   OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.   ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with offices across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.   Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Europe or US Workplace: Remote About the team The Control Plane Platform team is building the shared foundation that every product in ClickHouse Cloud is built and shipped on. We give ClickHouse engineering teams one place to own and deploy their product, remove the overhead of rebuilding common plumbing, and keep the customer experience consistent as the number of integrating teams grows. The team owns API gateways and API standards, shared platform services, deployment and infrastructure patterns, testing and CI, local developer experience and Control Plane observability. About the role We’re looking for an Engineering Manager to lead our Platform team. This is a high-impact, high-trust role at the center of our Cloud product, combining people leadership, technical direction, product thinking, and operational ownership while maintaining the reliability customers expect. You’ll work hand-in-hand with Product, Infrastructure, Security, Support, and engineering teams across ClickHouse. This role goes beyond engineering leadership. Together with your team, you’ll help shape how new products and teams will integrate and deploy their applications in ClickHouse Cloud. What You’ll Do - Lead, coach, and grow a high-performing team - recruit to a high bar, set crisp expectations, give direct feedback and career development, and manage performance — while fostering a healthy, inclusive environment built on empathy, psychological safety, trust, and a high technical bar. - Own outcomes across the platform surface: API gateways and API standards, shared platform services (event bus, notifications, feature flags, websockets, audit records), deployment and infrastructure patterns, CI and testing, local developer experience, disaster recovery, and Control Plane observability. - Treat the integrating teams as your customers and measure success by their delivery velocity and adoption of the platform, not only by what your team ships. - Guide architecture and help senior engineers make explicit, sound tradeoffs. land cross-cutting migrations, deprecations, and contract changes across teams without stalling product delivery. - Jump into designs and code for complex areas - gateway routing and auth/RBAC enforcement, spec-driven code generation, event delivery semantics and idempotency, multi-region rollout safety. - Build the culture of operational excellence: Own SLOs, reliability, on-call quality, and cost-efficiency for k8s-hosted, multi-tenant services across cloud regions. - Systematize support, reduce toil, and build self-serve/auto-healing capabilities - golden-path templates and generators, auto-healing, and documentation that gets a new team integrated in days rather than weeks. - Shape the platform vision, turn it into a roadmap, sequence bets for business impact, and ship fast with tight feedback loops — including writing the RFCs that build cross-org consensus before big changes land What you bring - 8+ years in software engineering and 3+ years managing software engineers with a track record of hiring, developing, and retaining strong talent. - Experience leading a platform or infrastructure team whose customers are other engineering teams — you've driven adoption and cross-org migrations through influence and good tooling rather than mandate. - Experience leading distributed global teams, fostering an inclusive and autonomous culture, and creating clarity across time zones. - Experience building scalable, highly available, and secure cloud-based infrastructure in AWS (EKS, SQS, DocumentDB, Redis, PostgreSQL, Lambdas) with infrastructure as code (Terraform, Helm) and progressive delivery (Argo Rollouts or similar). - Experience with containerization and orchestration (Docker, Kubernetes), including patterns for hosting many independently deployed applications in a shared cluster. - Familiarity with API platform work: OpenAPI-driven contracts, API gateways, and the shared concerns they centralize — authentication, RBAC, rate limiting, versioning, and deprecation. - A track record of decomposing a monolith into independently deployable services without stalling product delivery. - Technical credibility to engage deeply in architecture and incidents without owning daily implementation. - Hands-on: you still enjoy diving into code/designs for complex or critical areas, reviewing code, and guiding via feedback. - Strong execution judgment across ambiguity, parallel workstreams, risk, and long-term system health. Nice to have - Experience with large TypeScript/Node monorepos and the developer-experience problems that come with them: CI scale and flakiness, build and test times, local development environments, and code generation from specs. - Designed and implemented strategies for load balancing, auto-scaling, disaster recovery, and failover for cloud environments. - Experience building CI/CD at scale - Experience with internal developer platforms: service catalogs, golden-path templates, and self-service app scaffolding. - Proficiency with frontend frameworks (React). - Experience making APIs consumable by AI agents — MCP servers, CLIs, or skills generated from API specs. - Experience with ClickHouse - Previous experience in developing analytics or data-intensive applications. Why This Role - Shape how all feature teams in ClickHouse Cloud develop and integrate with each other - Operate with ownership, autonomy, and speed while keeping the company lean. - Lead a technical team where correctness, performance, reliability, and developer experience all matter. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Remote - Ontario, Canada (DNU) Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team. About the job We are actively recruiting for this role to fill an existing vacancy. This position is needed to build the foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio. You will influence the design and evolution of our company-wide ML/AI Ops foundation, ensuring every AI capability incorporates rigorous offline and online evals to maintain exceptionally high quality. You will drive improvements to managing LLM workloads across the company, while ensuring easy and compliant access to data for AI/ML exploration and product development. This role requires a builder mindset to bridge theoretical research, production-grade experimentation, and scalable, enterprise-quality software. Responsibilities In this role, you’ll: Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration. Identify opportunities to leverage small language via fine-tuning/distillation. Build ML systems that hold up at Twilio scale. Set standards and tooling for building evals across a range of AI/ML capabilities. Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design. Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action. Proficiency in Python programming language. Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs. Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale. Strong communication skills and highly effective collaborator who works well with teammates. Familiarity with AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, Cursor, etc.). Desired: Prior experience building evals for autonomous agents and large language models. Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Prior experience working in a globally distributed team. Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research. Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows: $160,320 - $200,400 Target Bonus Percentage 12.5% The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

-Разработка полного цикла: релиз продуктовых фичей на стыке фронтенда и бэкенда (API, интеграции, платежные шлюзы, подписки и веб-воронки). -Агентские AI-системы: улучшение логики агентов (распознавание намерений пользователя, подбор футажей, сборка монтажа, контекстное управление диалогом).

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD Step into the driver's seat of the high-octane engine that powers Docebo’s enterprise automation platform! In this role, you will architect, build, and scale business-critical backend systems in Go and PHP that seamlessly onboard millions of users. You'll serve as the primary technical advisor and force multiplier for our product and engineering teams, solving complex automation logic while directly elevating the technical craft of those around you. If you get excited by high scale, deep architectural ownership, and making a massive impact on enterprise-grade software, your next great journey starts right here! ⚡ THE DAY-TO-DAY - Lead the Charge: Drive complex, multi-sprint technical initiatives from initial spark to seamless deployment while staying ahead of scope, dependencies, and risks. - Architect for Scale: Design and operate high-performing, resilient backend services using Go, PHP, AWS, Kubernetes, DynamoDB, PostgreSQL, and MySQL to effortlessly handle millions of users. - Write Exemplary Code: Craft clean, elegant Go code for our newest automation features while actively maintaining and leveling up our core PHP services. - Elevate the Craft: Conduct thoughtful code reviews, lead technical design discussions, write clear architectural design docs, and establish SLOs to keep our incident rates low. - Multiply Team Impact: Mentor and pair with engineers, guiding their career growth, while acting as a trusted partner to Product and Design to shape our product roadmap. - Tackle Complex Challenges: Balance long-term strategic roadmap delivery with Tier-1 customer escalations and technical debt, diving in to troubleshoot mission-critical issues across the stack. 🛠️ YOUR SUPERPOWERS - Backend Mastery: 4-8 years of software engineering experience with deep expertise in Go and performance-driven batch processing systems, ideally paired with working knowledge of PHP. - System Design Genius: Proven track record of designing, building, and operating scalable microservices, distributed systems, and domain-driven architectures at enterprise scale. - Cloud & Infrastructure Expertise: Advanced, hands-on experience with AWS, Kubernetes, infrastructure as code, and data stores like DynamoDB, PostgreSQL, and MySQL. - Reliability & Observability Guru: Deep understanding of testing strategies (unit, integration, E2E) and modern observability platforms like Datadog to manage incidents and protect long-term system health. - Strategic Force Multiplier: Outstanding ability to mentor teammates, communicate complex technical trade-offs to non-technical stakeholders, and make sound decisions under uncertainty. - Timezone Anchor: Based in Canada to deliver seamless, sustainable timezone coverage for our North American enterprise customers alongside our Italy-based engineering team. 🌟 BONUS POINTS - Cross-Stack Versatility: Strong knack for jumping into moderate complexity tasks outside your primary domain to unblock cross-functional engineering teams. - Continuous Improvement Champion: Passion for driving engineering-wide initiatives, whether standardizing deployment patterns, refining testing practices, or bringing emerging technology innovations into the fold. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Poland; Bulgaria; Ukraine; Hungary; Czechia; United Kingdom; Ireland Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ABOUT THIS ROLE ClickUp is looking for a Senior Database Reliability Engineer to join our Database Operations team. You’ll be responsible for the performance, integrity, security, and availability of our PostgreSQL databases running on Linux in AWS. This role focuses on day-to-day database administration, operational excellence, and ensuring data is consistently reliable and well-managed across environments. KEY RESPONSIBILITIES - Administer, monitor, and maintain PostgreSQL databases (250GB+) in production environments (AWS RDS, Aurora, EC2) - Ensure database availability, performance, and data integrity through proactive monitoring and maintenance - Perform routine database administration tasks including patching, upgrades, vacuuming, reindexing, and statistics management - Execute and manage backup, restore, and disaster recovery procedures, including regular testing of recovery plans - Handle user access management, roles, and database security to ensure compliance with best practices - Perform capacity planning, storage management, and growth forecasting - Troubleshoot database issues, including performance bottlenecks, locking/contention, and failed jobs - Support application teams with query tuning, schema changes, and release deployments - Manage database migrations, upgrades, and change requests with minimal downtime - Maintain documentation for database configurations, standards, and operational procedures - Participate in on-call rotations and provide support for production incidents QUALIFICATIONS - 7+ years of experience in a senior database administrator or Database Engineering role - Strong hands-on PostgreSQL administration experience, including backups, recovery, and performance tuning - Solid understanding of database security, access control, and compliance practices - Experience managing large-scale production databases (250GB+), including maintenance and lifecycle management - Strong Linux administration skills (processes, disk, memory, networking) - Experience with monitoring tools and performance diagnostics - Proficiency in SQL and at least one scripting language (Bash, Python, or similar) - Familiarity with cloud-based database deployments, preferably AWS (RDS, Aurora, EC2, S3) - Strong organizational and documentation skills NICE TO HAVE - Experience with database auditing, compliance, or governance frameworks - Familiarity with ETL processes, data pipelines, or reporting systems - Experience with high availability setups, replication, and failover management - Exposure to other database systems (MySQL, SQL Server, or NoSQL platforms) - Experience supporting enterprise or highly regulated environments #LI-REMOTE  #LI-CC1 Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. We’re seeking a Senior Manager, Site Reliability Engineer to join our team and help ensure the stability, scalability, and reliability of Backblaze production systems. About the Role We are seeking an experienced Senior Manager to lead within our Site Reliability Engineering (SRE) organization. The ideal candidate brings deep experience developing engineering strategies, leading high-performing technical teams, and translating reliability priorities into measurable outcomes. As a leader at Backblaze, you will work across the organization to help achieve our reliability and operational goals, including partnering with engineering leaders, executives, customers, and other key stakeholders. This role will focus on unlocking the potential of our engineers through observability, automation, operational excellence, and continuous improvement. What You'll Do Hire, lead, mentor, and develop a high-performing team of Site Reliability Engineers, including coaching, career development, and performance management. Manage other engineering managers as required and help develop leadership capability within the organization. Establish team goals, objectives, and reliability priorities, ensuring commitments are delivered or expectations are proactively reset when circumstances change. Collaborate with engineering leaders across Backblaze to define strategic priorities and execution plans. Develop and improve automation that accelerates the deployment of new storage vaults, core servers, and supporting infrastructure. Own and improve vulnerability management and patching schedules to ensure contractual, operational, and security requirements are met. Drive complex reliability initiatives from problem discovery through implementation and resolution. Partner with engineering teams to improve observability, monitoring, and alerting and provide meaningful insight into the health and performance of Backblaze infrastructure. Lead analysis of SLA and reliability performance, identify areas of risk, and drive corrective actions. Participate in leadership on-call rotations, major incident response, and post-incident reviews to continuously improve service reliability. Provide leadership during incidents and ensure root cause analyses, corrective actions, and follow-up work are completed effectively. Apply established ITIL and operational processes across incident, change, problem, and capacity management. Partner with Engineering, Customer Success, Product, and Operations teams to support resilient system design and reliable production operations. Engage with customers to understand their reliability needs and ensure stability priorities reflect customer experiences and business requirements. Work with vendors and service providers to troubleshoot service issues and monitor SLA performance. Lead cross-functional initiatives to identify gaps in observability, operational processes, reliability, and infrastructure management. Identify recurring operational issues and develop long-term strategies and action plans to address them. Document systems, share learnings, and promote a reliability-focused engineering culture across Backblaze. The Right Fit 10+ years of experience in site reliability engineering, systems engineering, infrastructure, or production operations, including significant engineering leadership experience. Demonstrated experience building, managing, mentoring, and developing high-performing technical teams. Experience leading reliability or infrastructure organizations operating large-scale, production-grade systems. Strong understanding of deploying and managing large fleets of Linux hosts, with a strong emphasis on automation. Strong knowledge of observability and monitoring technologies such as VictoriaMetrics, Prometheus, Grafana, OpenSearch, or comparable platforms. Experience establishing operational procedures, runbooks, incident processes, and reliability practices at scale. Strong understanding of storage systems, including storage performance, sharding, distributed architectures, and storage algorithms. Understanding of load-balancing technologies and services, including IPVS or comparable technologies. Experience managing security-focused infrastructure operations, including patching, hardening, vulnerability identification, and remediation. Demonstrated ability to lead major incidents and post-incident processes, including root cause analysis and corrective action planning. Experience using automation and AI-assisted technologies to improve engineering productivity, system performance, operational efficiency, or scalability. Ability to independently take ownership of complex problems and drive initiatives from discovery through resolution. Strong communication and collaboration skills, with the ability to work effectively with engineers, executives, customers, vendors, and cross-functional stakeholders. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Bonus Points For Experience operating infrastructure at hyperscale or within a hyperscaler environment. Experience in SaaS, cloud infrastructure, service provider, storage, or large-scale distributed systems environments. Experience with object storage or other large-scale storage platforms. Familiarity with ITIL or OSS operational practices. Experience defining, managing, and improving SLOs and SLAs. Experience with AWS, Google Cloud Platform, Microsoft Azure, or other major cloud platforms. Experience leading teams through significant infrastructure scaling, reliability, or operational transformation initiatives. Backblaze Perks Equity grants for eligible full-time employees. Annual company bonus program. Medical, dental, and vision benefits for eligible employees and family members. 401(k) program. Employee Stock Purchase Plan. Flexible vacation policy. Parental leave benefits. MacBook Pro and workstation support. Childcare support. Fertility treatment and family-building support. Learning and development opportunities. Commuter benefits where applicable. A culture that supports a healthy work-life balance. To provide greater transparency to candidates, Backblaze shares base pay ranges for U.S.-based positions. Compensation ranges are established based on factors including function, level, and location. Final offers may vary based on candidate location, relevant experience, skills, and applicable licenses or credentials. The expected salary range for this role is $178,000 - $210,000. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are looking for an experienced Senior Data Engineer to design, develop and operate trusted, scalable data solutions that power decision-making and transformation across Sony Interactive Entertainment (SIE). Working within Player Data Engineering, you will build reusable data pipelines, integration services and curated data products for business domains including Commerce, hardware, game play, products and services, and accounts. This is a hands-on senior individual contributor role. You will partner with engineering, platform, product and business teams. Take end-to-end ownership of complex solutions and raise engineering standards through technical leadership and mentoring. You will help create reliable, governed and AI-ready Player data foundations. What you'll be doing: Design, deliver and maintain Player data solutions Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across Player data systems, APIs, Snowflake Db and cloud data environments. Develop reusable, well-documented data models and domain-aligned data products, translating complex business logic into reliable engineering solutions. Lead technical design for assigned initiatives, evaluate trade-offs, and ensure solutions are scalable, secure, maintainable and cost-effective. Own quality, reliability and operations Own solutions throughout the engineering lifecycle, from requirements and design through deployment, monitoring, incident resolution and continuous improvement. Implement automated testing, data validation, reconciliation, lineage, observability, alerting and operational runbooks. Apply engineering practices including version control, code review, CI/CD, infrastructure automation and appropriate change controls; improve performance and platform efficiency. Provide technical leadership and collaborate Mentor engineers, lead technical reviews and contribute to shared patterns, coding standards and communities of practice. Partner with TPM’s, business stakeholders, architects, security, governance, analytics and platform teams to clarify requirements, dependencies and data ownership. Proactively identify delivery risks, technical debt and cross-team dependencies; communicate progress, options and recommendations clearly. Enable trusted data for analytics, planning, automation and AI use cases while respecting privacy, security and access controls. What we're looking for: Typically 5+ years of professional data engineering or software engineering experience, including ownership of complex production data solutions. Experience designing data pipelines and transformations using modern ETL/ELT tools and frameworks, such as dbt, Ab Initio or equivalent technologies. Solid experience with cloud data platforms and warehouses, particularly Snowflake; knowledge of data modelling, dimensional design and data product principles. Experience with orchestration, Kubernetes, Git-based workflows, automated testing, CI/CD, monitoring and troubleshooting production data services. Understanding of data security, access management, data quality, governance and regulatory considerations in enterprise environments. Experience leveraging AI coding assistants, agentic workflows, and AI-driven development tools to accelerate engineering productivity and improve code quality. Familiarity with building or integrating AI agents into data engineering workflows would be a strong plus. Ability to influence technical decisions, mentor peers and communicate effectively with engineering and non-technical stakeholders. Bachelor’s degree in a relevant discipline or equivalent practical experience. Desirable Experience Strong hands-on SQL and Python skills, with experience in distributed data processing using PySpark and/or Databricks. Experience with AWS services, APIs, event-driven integration and infrastructure as code. Exposure to AI/ML data preparation, data observability, metadata management and modern data governance practices. Experience working with globally distributed teams and supporting cross-functional transformation programs. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.