Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in? What you'll do? Handle technical escalations; engage in complex troubleshooting/manage technical escalations within Follow-the-Sun (FTS) support model. Implement/manage large-scale cloud-native environments [Azure (Virtual Machines/Networks, Load Balancers)]. Develop automation frameworks/regression test suites (Python, Bash) to streamline deployment/testing processes (Git, Jenkins, GitHub Actions). Configure (Grafana, Prometheus, ELK, Azure Monitoring) for observability, performance tuning/issues detection. Troubleshoot/manage incidents for production systems (cloud infrastructure, TCP/IP networking); work with NoSQL databases (Redis). Ensure seamless global service coverage/system reliability by leveraging software development/problem-solving expertise to create automation tools/runbooks. Enhance reliability/stability of Redis’ database on leading cloud service provider; partner with engineering teams during service-impacting incidents. Lead problem management efforts to maintain service continuity/ stability; participate in on-call rotations; provide critical support. Ensure service reliability; improve observability, reliability, availability by defining/measuring key metrics; oversee technical maintenance. Perform troubleshooting for production systems. Collaborate with external stakeholders/partners in improving efficiency/stability of services. Implement/coordinate telemetry using tools (Splunk, Grafana, Prometheus). Participate in capability planning, scale testing, disaster recovery exercises. Ensure systems remain resilient. Build automation. Improve systems to eliminate toil/operations work. Serve as Champion of Infrastructure as Code (IaC). Establish enterprise-level infrastructure patterns. Review code for design, testability/clear usability, develop specifications for assigned components, projects, fixes, build platform solutions that scale/perform. Troubleshoot/mitigate complex cluster/database issues on Redis’ Enterprise Software stack running on Azure Managed Redis (AMR) service on Azure cloud. Design/implement automation solutions to eliminate operational toil through scripting (Python, Bash, C#) for improving production incidents handling. Develop/maintain observability frameworks (advanced monitoring, alerting, logging dashboards using KQL, Prometheus, Grafana, Azure Monitors) to proactively detect/ mitigate issues. Work on Azure Devops codebase using Git, Visual Studio to carry out unit tests/ push code changes to production; conduct Root Cause Analysis (RCA). Lead post-incident reviews/retrospectives to identify service reliability gaps;, and work cross-functionally with engineering teams to implement product fixes for recurring production incidents. This is a telecommuting position with remote benefit from various unanticipated locations throughout the U.S. Job Requirements: Master’s degree or foreign equivalent in Computer Science, Computer Engineering, or Software Engineering plus 2 years experience. Experience to include implementing/managing large-scale cloud-native environments [Azure (Virtual Machines/Networks, Load Balancers)], developing automation frameworks/regression test suites (Python, Bash) to streamline deployment/testing processes (Git, Jenkins, GitHub Actions). Configuring (Grafana, Prometheus, ELK, Azure Monitoring) for observability, performance tuning/issues detection, and troubleshooting/managing incidents for production systems (cloud infrastructure, TCP/IP networking), working with NoSQL databases. This is a telecommuting position with remote benefit from various unanticipated locations throughout the U.S. Salary range from $161,637 to $175,000 per year. As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected. Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.

Thinkific is a learning commerce platform that helps learning businesses turn knowledge into impact. By bringing together community, courses, and content with commerce, we power transformative learning experiences that help businesses grow their revenue—and reach millions of learners around the world. We’re a team of 300+ Thinkers building products that matter. Every role at Thinkific contributes to raising the bar for online learning, supporting learning businesses, and creating real-world impact. You’ll work alongside curious, collaborative teammates who care deeply about what they build and who they build it for. We’re committed to a fair, inclusive, and human hiring experience. Our team is here to guide you every step of the way, so you always know what to expect! Are you a Senior Full Stack Engineer who thrives on solving complex problems, building impactful products, and working alongside a collaborative team? We’re looking for a Senior Full Stack Engineer to join us at Thinkific. As a Senior Full Stack Engineer, you’ll work across our application stack to help us meet business goals while investigating, assessing, and fixing product issues along the way. As a Senior Engineer, you’ll also play a key role in mentoring others and supporting the growth of your teammates. In this role, you will work closely with our Engineering, Product Management, and Product Design teams to help translate business requirements and specifications into delivered platform features that create real value for our users. Your goal will be to lead medium-to-large feature projects from conception to completion in our agile environment. Here’s how you’ll accomplish this: - Author code that is reliable, well-rounded, and sets a high standard for the team - Effectively diagnose and troubleshoot problems within the Thinkific platform - Participate in architectural design, review, and implementation of scalable, production-quality features - Contribute to scalable, well-aligned architecture while identifying patterns that reduce technical debt, improve efficiency, and support long-term code quality - Participate in effort and complexity estimation for new product features and tasks - Share knowledge with others through mentorship, clear documentation, code reviews, pair programming, and training sessions - Work with your team to research and advocate for new technologies that can elevate our product and processes The person we have in mind likely: - Has 5+ years of experience working in a full-stack development role, and at least 1+ years of experience working in a SaaS environment - Has hands-on professional experience working with Ruby on Rails - Is knowledgeable and experienced with modern web frameworks and libraries, particularly Next.js and React - Has advanced knowledge of server-side languages and frameworks (Ruby, Node, etc.) - Demonstrates a practical understanding of Web APIs, HTML, CSS, and JavaScript - Showcases the ability to design and implement GraphQL APIs - Has experience with relational databases, SQL, and engines like PostgreSQL - Adaptable and a proven problem solver - Has experience in instrumenting and monitoring applications with tools like New Relic or DataDog etc. - Loves to learn and grow. They’ve found (and keep looking for) ways to level up their skills in this field, whether that’s through formal education, gaining professional experience, or maybe even building their own business These things would also be nice, but we think you could learn them on the job: - Experience building real-time AI web applications - Knowledge and experience with cloud-based server infrastructures, particularly Cloudflare We’re committed to fair and transparent pay that reflects both where you’re at and where you can grow. This role has a salary range of $120,000-$150,000-$170,000 in Canada, designed to capture the full journey from developing skills to excelling in the position. Most new hires start between the minimum and midpoint, which aligns with being fully capable in the role. Salaries above the midpoint are typically reserved for team members who have demonstrated strong, consistent performance, deep expertise, and a significant positive impact within the role. For high-demand or hard-to-fill positions like this one, we may hire above midpoint for candidates who bring exceptional experience, skills, or impact potential. Diversity, Equity, Inclusion and Belonging & Accessibility This is just our initial idea of who we’re looking for! At Thinkific, we know that people have unique career journeys. If your experience is close to what we’ve described but you feel that you might be missing a few of the requirements, please still apply! We believe in equal opportunity and are committed to diversity, equity, inclusion, and belonging across every facet of our business. We’re also committed to providing a comfortable and accessible interview experience for every candidate. If there are any accommodations our team can make throughout our hiring process (big or small), please let us know. What you can expect if you join Thinkific: 👏 An amazing team of talented, passionate, and kind Thinkers. Together, we’ve built an amazing, award-winning culture—we’re a Certified Great Place to Work and one of Canada’s Most Admired Corporate Cultures by Waterstone! 🚀 The chance to build, improve, and innovate on a platform that’s driving positive impact for thousands of businesses and millions of students around the world. 💸 A competitive compensation package including base salary, equity, team-wide bonuses, and an Employee Share Purchase Plan. 🌴Flexible Paid Time Off to maintain mental and physical health. Our team is encouraged to take a minimum 4 weeks of vacation, plus Thinker Holidays (extended long weekends in the summer) and time off for the December holiday season. 🩺 Health Benefits and Wellness: Comprehensive benefits starting on Day 1 include health, vision, and dental coverage for you and your family, $3,000 for mental health care, a short-term health plan, and an additional $900/year health or personal spending account. Plus, family friendly benefits include generous parental leave top-ups for up to 32 weeks, as well as fertility coverage and personalized return to work options. 🤝 3 Paid Volunteer Days each year to give back to your community and support the causes you care about. 💻 Flexible Work. Choose to work from home from anywhere in Canada, at our Vancouver HQ, a co-working space, or anywhere there’s wifi for a change of scenery. ⬆️ Learning & Growth. An annual $2,000 CAD Learn and Grow fund for conferences, seminars, or courses, plus training, mentorship, coaching, and internal promotion opportunities. 🏡 A home office setup so you’re ready to succeed with a company-owned Macbook Pro and a budget to order a desk, chair, or any accessories to help you work comfortably and productively. 💙 A place where you can bring your whole self to work. We know that different perspectives lead to amazing ideas, more innovation, and, ultimately, our success as a company. We welcome applicants of all backgrounds, experiences, beliefs, identities, and statuses. Whoever you are—we can’t wait to meet you! The Thinkific Vancouver office operates on the traditional, ancestral, and unceded territories of the xʷməθkʷəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and Sel̓íl̓witulh (Tsleil-Waututh) Nations of the Coast Salish People. We encourage everyone to learn more about the original caretakers of the land that you currently occupy.

Mission We make machines talk to machines so humans can spend their time with other humans. Today, people spend an enormous amount of time navigating software - portals, voice-bot trees, and systems that were not designed to work together. We are building agents that handle these machine-to-machine conversations and workflows, freeing people to focus on work that requires a human touch. Applied first to healthcare operations where humans are drowning in software. About The Role We’re building the next generation of agentic AI systems that can reason, act, and operate reliably in messy, real-world environments — across chat, voice, and full computer-use interfaces. As a Founding Engineer – Applied ML, you’ll help architect and ship the core intelligence powering our agents: reasoning systems, grounding, planning, memory, evals, and reliability. This is a deeply technical role with massive ownership — ideal for someone who wants to push the frontier of practical AI while shipping real product used by real customers. What You’ll Do - Design and implement agentic reasoning systems for real production workflows - Build robust tool orchestration, planning, and grounding frameworks - Develop context, memory, and state management for long-horizon tasks - Create evaluation and reliability frameworks that measure correctness and performance - Work across chat, voice, and UI computer-use agents to make them coordinated and dependable - Translate research concepts into practical, production-ready systems - Partner closely with founders and customers to iterate quickly and ship - Help shape company culture, technical standards, and early engineering practices What You’ll Bring - 5+ years of software engineering experience - 2+ years building and shipping LLM or agentic systems in production - Experience with eval frameworks, memory, retrieval, and grounding architectures - Comfort working across ambiguous, open-ended technical problems - A bias toward building systems that are reliable, measurable, and testable - Strong product intuition — you care about real users and real outcomes - Excellent communication and collaboration skills Bonus Experience - Model fine-tuning and RL techniques - Multimodal agents (voice, CUA) - Experience building in healthcare or other regulated enterprise domains What We Offer - Founding-level work ownership - Competitive compensation, with meaningful equity - The ability to work directly with founders and customers, move fast, and ship real, production-grade agent systems into high-stakes environments - We’re based in San Francisco and work best together in person. That said, we’re flexible for exceptional remote candidates and provide visa sponsorship.

Build a Safer World. TRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. TRM’s blockchain intelligence and AI platforms include solutions to trace the source and destination of funds, identify illicit activity, build cases, and construct an operating picture of threats. TRM is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all. As a Senior Analytics Engineer on our Advanced Analytics team, you will help mature and scale the foundation of our analytics data ecosystem. You’ll play a leading role in shaping best practices in analytics engineering and will be instrumental in driving data architecture, quality, performance, and reliability across the organization. This is a high-impact, senior-level role built for someone who brings a strong background in analytics/data engineering and data science, and who can thrive in ambiguous environments and independently drive critical initiatives that improve how we model, transform, and use data across TRM. Within 6–12 months, your work will have improved the scalability and reliability of our analytics infrastructure and established the gold standard for analytics engineering practices across the team. The impact you will have here: - Lead the development and optimization of analytics pipelines and data models that power TRM’s products, investigations, and decision-making — enabling teams across the company and our customers (including former FBI, Secret Service, and Europol agents) to detect and respond to financial crime in the crypto space. - Define and implement best practices in analytics engineering (e.g., testing, observability, versioning, documentation), helping to level up the team’s development workflows and data reliability - Improve the scalability and maintainability of our analytics data ecosystem, which process large volume of data, through thoughtful architectural decisions and tooling improvements. - Partner closely with data scientists, data engineers, product and business teams to deliver production-ready datasets that support models, metrics, and investigative workflows. - Establish best-in-class data quality solutions to increase the reliability and accuracy of our data - Investigate performance issues, and bring creative, durable solutions to improve long-term reliability, cost and developer experience. - Drive adoption of modern data tools and workflows, helping the team evolve toward best-in-class analytics engineering practices. - Contribute to team on-call responsibilities that support the health and availability of our analytics and data science infrastructure (on-call is lightweight and shared equitably). What we’re looking for: - 8+ years of experience in analytics engineering, data engineering, or data science with a strong focus on building and scaling analytics workflows. - Strong experience across the entire Data Engineering lifecycle (from ETLs, Data Model design, infra, Data Quality, architecture etc.) - Deep proficiency in SQL and experience developing robust, modular data models using dbt (or equivalent tools) in a production environment. - Strong software engineering fundamentals, including experience with Python, CI/CD pipelines, and automated testing. - Proficiency in defining robust and scalable data models using best practices. - Experience using LLMs as well enabling AI through high quality data infrastructure. - Hands-on experience with cloud data warehouses and infrastructure (e.g., Snowflake, BigQuery, Redshift) and data orchestration tools (e.g., Airflow, Dagster, Prefect). - Proficiency in developing compelling dashboards using tools like Looker, Tableau, Power BI, Plotly or similar. - Excellent communication skills — you can explain complex technical concepts to non-technical audiences and influence key decisions with clarity and data. About the Team: - The Advanced Analytics team helps TRM’s customers to have the most reliable and impactful data and insights. The team builds the data foundation and Analytics products for TRM’s insights and investigative capabilities. We develop high-leverage datasets, metrics, and insights used by internal teams and customers to combat fraud, hacks, and illicit activity on the blockchain. - We’re a distributed team with a collaborative and inclusive culture. Most of our meetings and syncs occur between 7am–12pm PST to ensure time zone overlap. - On-call responsibilities are shared across the team and intentionally kept lightweight (e.g., <1hr/day during a weeklong shift every few months). Learn about TRM Speed in this position: - Deliver a last minute impactful project for a key customer - Build complex products effectively with tight timeframes (1-2 sprints for MVP) - Work on several projects in parallel with different priorities and stakeholders Life at TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting financial crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: - Priorities and targets to change quickly as we experiment and iterate - Work that often requires operating with a high degree of ambiguity - A high level of personal ownership and accountability - Close collaboration across teams and functions - Frequent, high-touch communication - Creative problem solving and out-of-the-box thinking - A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like AI Fluency at TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: - Accelerate repeatable workflows - Structure and solve problems - Improve output quality - Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. Leadership Principles We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. - Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. - Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. - Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. Join our Mission At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. Privacy Policy and Additional Information By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy. Our typical hiring cycles for specialized roles span 24 to 36 months. Accordingly, we retain your personal information for up to 36 months to evaluate your application and to consider you for current and future employment opportunities, unless you request earlier deletion or a different retention period is required or permitted by law. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form. Recruitment agencies TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. Learn More: Company Values | Interviewing | FAQs