Job Closed
This listing is no longer active.
Grafana Labs supports organizations’ monitoring, visualization and observability goals. 950,000+ active installations
Senior Software Engineer - AI and Automation, Data & Analytics | Canada | Remote
Location
Canada
Posted
71 days ago
Salary
164K - 197K / year
Seniority
Senior
Job Description
Senior Software Engineer - AI and Automation, Data & Analytics | Canada | Remote
Grafana Labs
Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from Canada time zones only at this time. Senior Software Engineer - AI and Automation The Opportunity: Grafana's Revenue Operations organization is looking for a Senior Software Engineer focused on building AI-powered internal tools and agentic workflows for our GTM teams. You'll own the technical infrastructure that powers automation across Sales, Customer Success, and Marketing—from agentic skills that automate SDR outreach to backend services that connect AI models to Salesforce, Slack, BigQuery, and internal data platforms. You'll be the technical architect behind systems that give every GTM team member leverage. Part systems builder and part problem detective, you'll identify bottlenecks across the business, design automated solutions using LLM APIs and orchestration frameworks, and ship tools that people actually use. Your work will directly shape how Grafana's GTM organization scales. You'll partner closely with Data Engineering, GTM Systems, Field Operations, and GTM leadership to build scalable, self-service automation that reduces manual work and surface intelligence. What You’ll Be Doing: Agentic Tool Development - Own end-to-end development of agentic and AI-integrated workflows: design, implementation, testing, deployment, and maintenance - Build modular, composable agentic systems using frameworks like LangChain, CrewAI, Anthropic MCP, or similar orchestration libraries - Develop "agentic skills" for SDR and CSM teams—reusable capabilities that agents can invoke across interfaces (Slack, dashboards, internal apps) - Implement observability and feedback loops: logging, performance metrics, prompt iteration, and model evaluation Systems Integration & Backend Services - Build MCP servers, CLIs and APIs and microservices that connect AI models to business systems: Salesforce, BigQuery, Slack, HubSpot, email, calendars, analytics tools - Architect data flows that enable retrieval-augmented generation (RAG): connecting LLMs to internal knowledge bases, customer data in BigQuery, Salesforce data, and real-time business context - Build serverless or containerized services (GCP Cloud Functions, Cloud Run, or similar) that scale with usage and integrate with Grafana's cloud infrastructure GTM Automation & Workflow Manufacturing - Scope high-impact automation problems autonomously by shadowing Sales, Customer Success, and Marketing teams to identify efficiency gaps - Design and deploy automation workflows using tools like n8n, Zapier, Prefect, or custom orchestration platforms - Build systems designed for self-service, with documentation and enablement materials that let others operate them independently. Collaboration & Technical Leadership - Partner with GTM Analytics, Field Operations, Strategy & Planning, and GTM Systems teams to scope, prioritize, and refine use cases - Collaborate with Data Engineering to source and structure relevant data for agentic and AI-enabled workflows - Communicate technical constraints and trade-offs clearly to non-technical stakeholders across Revenue Operations and GTM leadership - Establish and champion governance and compliance standards to AI workflows, including access controls, audit trails, and human-in-the-loop escalation path, setting the bar for responsible use of sensitive customer and business data. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). What Makes You a Great Fit / Requirements: - 5+ years of software engineering experience, including backend development and systems integration work - Strong proficiency in Python (preferred) or Javascript/Node.js - Hands-on experience with LLM APIs (OpenAI, Anthropic Claude, or similar) and orchestration libraries (LangChain, LlamaIndex, Anthropic MCP, Semantic Kernel, etc.) - Comfortable building internal APIs, microservices, or serverless systems (GCP Cloud Functions, Cloud Run, AWS Lambda, or similar) - Familiarity with SQL and data warehouses (BigQuery preferred)—you understand how to query, structure, and pipeline data for AI workflows - Experience with authentication patterns, secure API handling, rate limiting, and workflow automation - Proven ability to deliver AI-powered features in production environments—you've shipped tools that real users depend on - Strong problem selector who can identify high-leverage initiatives and push back on low-impact requests - Thrives in ambiguous, fast-moving projects; able to balance experimentation with engineering rigor - Clear technical communicator—you can explain complex systems in simple terms and collaborate effectively with product and data stakeholders - Comfort with autonomy—you identify the right questions, structure unstructured problems, and drive work independently Bonus Points For: - Experience with frontend frameworks & tooling (React, Slack Block Kit, dashboard components) to build user-facing interfaces for AI tools - Familiarity with GTM platforms like Salesforce, HubSpot, Outreach, Gainsight, or similar CRM/sales engagement tools - Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, pgvector, or similar) - Prior work automating sales, customer success, or marketing workflows in a B2B SaaS environment - Experience with workflow automation platforms like n8n, Prefect, Clay, PhantomBuster, Apify, Dust, or similar tools - Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources and tools - Exposure to observability tools for AI systems (LangSmith, Weights & Biases, custom logging/evaluation frameworks) - Experience working in Revenue Operations, GTM Analytics, or Sales Operations environments - Previous experience in open source or developer-focused SaaS companies - Familiarity with or exposure to graph databases and their use in RAG systems (Neo4J, Memgraph, Puppygraph) Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 164,490 - CAD 197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: - 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. - Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. - Transparent Communication – Expect open decision-making and regular company-wide updates. - Innovation-Driven – Autonomy and support to ship great work and try new things. - Open Source Roots – Built on community-driven values that shape how we work. - Empowered Teams – High trust, low ego culture that values outcomes over optics. - Career Growth Pathways – Defined opportunities to grow and develop your career. - Approachable Leadership – Transparent execs who are involved, visible, and human. - Passionate People – Join a team of smart, supportive folks who care deeply about what they do. - In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. - Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.
Related Guides
Related Job Pages
More Software Engineer Jobs
Software Engineer, Product Catalogs
RedditReddit is an online platform utilized by thousands of communities to connect and converse about a wide variety of topics, including TV and movie fan theories, s
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit has a flexible first workforce! if you happen to live close to our physical office location our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely from the Netherlands. We are looking for a skilled backend software engineer to join the Product Catalogs team. Our team builds products and infrastructure that enable retail advertisers to succeed on Reddit. On our team, you’d work projects like: - Catalog System Scaling - In order to support larger and more sophisticated advertisers, we must scale our system to support millions of products per customer. You’ll have the opportunity to perform load testing, identify bottlenecks, and deploy optimizations to make these customers successful. - Catalog Management - With millions of products, advertisers need tools to manage those products, identify errors, and build campaigns based on subsets of products. - Product Enhancement - Leveraging AI, LLMs and Reddit organic data to make our products more appealing to users by showcasing products popular with Redditors, enhancing product image backgrounds with GenAI, and much more! Technologies used on the team include: - Languages: Python, Scala, Go - Frameworks: gRPC, Thrift, Baseplate, Kafka - Datastores: Postgres, BigQuery, Redis, TiDB - Tools: Kubernetes, Airflow Responsibilities: - Develop, maintain, and scale our product catalogs backend - Contribute to the development of features to make our product easier to use - Produce robust and sustainable code and demonstrate proficiency in debugging systems beyond your immediate responsibilities. - Uphold high-quality standards within the team. Required Qualifications: - A Bachelor's degree or equivalent experience in a quantitative or computer science-related field (e.g., mathematics, statistics, economics, finance, computer science) - 4+ years of full-time backend software engineering experience in a scalable computing environment - Experience in backend development, with a passion for learning and adapting to new technologies that you lacked prior experience with - Strong communication and collaboration skills, with the ability to work effectively with diverse stakeholders independently Nice to Have: - Prior experience in the ads or ecommerce space If you're a talented software engineer looking for a new challenge, and you're passionate about building scalable systems and great customer experiences, we encourage you to apply for this exciting opportunity! What We Offer: - A dynamic, supportive work environment with a diverse team of engineers and cross-functional partners - Opportunities for professional growth and development, with a focus on continuous learning and skill-building - A competitive salary and benefits package, with a focus on work-life balance and employee well-being - Flexible work arrangements, including remote work options, to support your individual needs and preferences - The chance to work on high-impact projects that drive real results for our users and advertisers Benefits: - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Private Pension plan with Employer-matching - 100% employer-sponsored group medical plan - Income Replacement Programs - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
• Develop and customize Microsoft Dynamics 365 solutions using Pro Code techniques. • Design and implement C# plug-ins to extend Dynamics 365 functionality. • Create and maintain JavaScript code for client-side customizations. • Automate business processes using Power Automate workflows. • Collaborate with cross-functional teams to gather requirements and deliver tailored Dynamics solutions.
Overview: We are looking for a Staff Engineer in LATAM to join the engineering team! In this role, you will set technical direction across both front-end and back-end systems, helping shape the architecture, performance, reliability, and user experience of our learning platform. You will provide hands-on technical leadership across squads, partner closely with Product and Design, and drive the development of scalable, secure-by-default, AI-powered customer experiences. This is a high-impact role for an engineer who can move fluidly across the stack, from high-traffic user interfaces to high-scale services, while mentoring engineers and raising the technical bar across the organization. About Nerdy: At Nerdy (NYSE: NRDY) - the company behind Varsity Tutors - we’re redrawing the blueprint of learning. Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems, setting a new bar for measurable academic impact at global scale. We recruit the kind of technologists and operators you’d bet on as solo founders - people who turn ambiguous problems into shipping code, iterate faster than markets move, and compound their advantage with every data point. In an era where great employees can deliver 10-times the leverage of the merely good, we back those who play to win. Fortune favors the bold. Join us. How we compete: - AI-Native at every level From the CEO to day-one hires, everyone builds and ships with generative AI. If you’re not wielding AI, you’re not done. - Entrepreneurial velocity Move at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die. - Free-market rigor Ideas rise or fall on merit and results - no committees, no politics, no cap on upside. - Full-stack ownership You design, build, and run what you ship; accountability is a feature, not a bug. - Reward for contribution Pay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both what you achieve and howyou achieve it: living our leadership principles and using AI effectively are formally measured and rewarded. - Relentless exploration Push the frontier of generative AI in live learning and - because only the paranoid survive - questioning every legacy assumption along the way. - Is Apolitical You stay focused on mission-aligned outcomes, not distractions or unrelated causes. If you’re a technically minded builder who thrives on open competition, personal responsibility, and the chance to redefine how the world learns - while continually stretching the limits of what generative AI can do - come do the most ambitious and rewarding work of your career here. Learn more atnerdy.com. Nerdy’s shareholder letters below explain our latest products and strategy: - Q4-2025 Shareholder Letter - Q3-2025 Shareholder Letter - Q2-2025 Shareholder Letter Responsibilities - Technical Leadership: Serve as the technical point of reference for the squad and broader engineering team, ensuring best practices in architecture, performance optimization, and accessibility standards are upheld. - Solution Design: Lead the design and architectural discussions for systems, making pivotal decisions on frameworks, state management patterns, component architecture, and design systems. - Code Quality: Advocate for and ensure the delivery of high-quality, maintainable, and scalable code. Conduct regular code reviews and provide mentorship to team members. - Collaboration: Work closely with product managers, designers, and other stakeholders to understand requirements, provide technical insights, and ensure the timely delivery of features. - Strategy and Vision: Contribute to the engineering department's strategy and vision, bringing innovative ideas to improve our customer-facing experiences. - Problem Solving: Address complex technical challenges, innovate solutions, and optimize existing systems for scalability and performance. - Team Development: Mentor and develop team members, helping them to grow in their technical roles and careers. - AI Enablement: Leverage AI-native tools and approaches to improve development speed, product capabilities, and engineering effectiveness across the software lifecycle. Qualifications: - Minimum of 10 years of software engineering experience, with a proven track record of building and evolving complex, high-scale systems and customer-facing applications. - Strong full-stack expertise, including domain in: Frontend: JavaScript, TypeScript Backend: Javascript, Java, Golang - Explicit mentoring of senior-level engineers regularly, leading to results. - Significant experience in AWS-based cloud architecture environments. - In-depth knowledge of modern software engineering practices, design patterns, and architectures. - Experienced with AI-native tools that enhance productivity and speed (Cursor, Make.com, Supabase, Netlify, Claude Code, n8n, Firecrawl, ChatGPT, Grok, Bolt, Vercel, etc). - Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders. - Experience designing high-traffic web applications and scalable distributed services. - Demonstrated experience in collaborating with multidisciplinary teams. - Excellent problem-solving and analytical skills. - A strong owner willing to roll up their sleeves. This role includes coding and reviewing the code of others. - Ability to implement customer-facing solutions that solve the customers' true needs with exceptional user experiences. - Nerdy is an apolitical company focused solely on helping people learn, and we achieve the most when united in this mission. Unleash Your Potential at Nerdy: At Nerdy, you'll earn your success through meritocracy and exceptional outcomes. Our benefits reward performance and initiative: - Competitive USD Compensation: Enjoy a market-leading rate paid in U.S. dollars. - 100% Remote (Home Country Only): Work from anywhere in your home country—no relocation required, no borders crossed. - Flexible Time Off: Our flexible PTO lets you recharge on your own terms and when you need it the most. - Local Holiday Pay: We honor your nation’s official holidays with paid time off—celebrate what matters to you. - Continuous Learning: Get a free, all-inclusive learning membership for you and your household—including 1-on-1 tutoring hours, unlimited on-demand classes, and access to our full suite of learning products and services. - Supercharge with AI: Gain exclusive access to cutting-edge AI tools that boost your productivity, making you feel almost super-human (cape not included). - Feedback-Rich, Collaborative Culture: Tap into regular training, peer reviews, and a team that treats every team member as a vital collaborator and owner in our success. - Make a Global Impact: Your expertise fuels an innovative platform used by learners around the world—be part of something transformative. The Bottom Line: If you're driven by impact, energized by ownership, and excited to help shape what’s next, you’ll thrive here. We move fast, think big, and reward those who deliver. This isn’t a traditional corporate environment - it’s a place to do the most meaningful work of your career.
Open Source Program Developer
DatadogDatadog provides cloud-scale monitoring and security for metrics, traces and logs in one unified platform.
• Build and maintain tools that ease building and releasing Open Source software at Datadog • Build and maintain tools that ease ingesting Open Source software at Datadog • Create developer facing documentation and training materials around contributing to open source and maintaining open source projects • Interface with open source communities to understand problems and trends in the market • Create tools to automatically analyze and report on Open Source repositories trends and statistics • Interface with Datadog Open Source Partners candidates and recipients to select new projects for the program and ensure that the program stays useful • Research and write content for the Datadog Open Source Hub • Contribute to the product through feedback (bugs or product enhancements suggestions), documentation, or code



