\nAt Fullscript, we’re not just changing healthcare—we’re making it whole.\n\n\nWe help 100,000+ healthcare practitioners support 10 million patients with a platform that delivers evidence-based health solutions, diagnostic support, and practitioner tools—all in one place.\n\n\nHealthcare today is disconnected. We’re fixing that. Fullscript makes it easier for practitioners to treat the whole person, not just symptoms, so patients get the support they need—when they need it.\n\n\nWe’re building a better way—one where healthcare is connected, complete, and built for impact.\n\n\n\n\n📊 BUILD DATA. DRIVE INSIGHTS. IMPACT HEALTHCARE.\n\n\nWe’re seeking a Senior Data Analytics Engineer for our Data Commercial team. The Data team is both a support function and strategic partner at Fullscript and will continue to be a key area of business value going forward. Data is used to drive effective decision-making and growth through opportunity analysis, experiment design and iteration,, and building dynamic experiences for our customers. We are investing heavily in the coming years to make data more accessible to our internal teams and to leverage it within our application to provide our practitioners and patients with data-driven tools and experiences.\n\n\nAs the Senior Data Analytics Engineer, you will be building the data platform that powers our decision-making and growth. This same platform also provides key insights about our practitioners and their patients through analytics and advanced metrics.\n\n\n\nWhat you'll do: \n* Work cross-functionally to help maintain, build and deploy a Commercial data warehouse to serve reporting, analytical, and self-service needs for key Fullscript stakeholders\n* Work with your leader and team to collaborate on initiatives across functions such as Analytics, Commercial, and RevOps to understand and improve their data\n* Write data transformation code in ELT pipelines to integrate that data into our data warehouse for consumption by the reporting and data analytics functions\n* Mentor and provide technical guidance to junior members of the data engineering team\n* Work with other data engineers to create and populate the data models for downstream consumption, and write the necessary tests to ensure data quality\n* Apply advanced data engineering techniques to optimize performance and scalability of data pipelines\n* Leverage AI and machine learning to build models that are responsive to business requirements and enable the delivery of streamlined, dynamic experiences for customers\n* Apply version control, testing and continuous integration (CI) in the data transformation code\n* Create and maintain data documentation and definitions\n\n\n\nWhat you bring to the table: \n* 5+ years in Data Analytics and/or Data Engineering position as part of ETL/ELT process or data insights development\n* Strong proficiency with SQL and experience using Python for data transformation\n* Experience working with dbt (data build tool)\n* Experience working with Cloud Data warehouses like Snowflake, BigQuery, Redshift and RDBMS (PostgreSQL, MySQL)\n* Hands-on experience with data modeling, schema design, and optimization techniques\n* Proven track record of implementing and maintaining data transformation pipelines using tools like dbt (data build tool), Argo, Airflow, or similar workflow orchestration tools\n* Deep understanding of data engineering best practices, including version control, testing, and CI/CD methodologies\n* Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders\n* Continuous learning mindset with a keen interest in exploring new technologies and methodologies in the data engineering space\n\n\n\nBonus qualifications: \n* Experience with DevOps practices and tools for automated deployment and infrastructure management\n* Practical experience building and deploying data models that leverage AI and machine learning (using Azure, AWS, Snowflake, etc.)\n* Familiarity with machine learning concepts and frameworks for implementing predictive analytics solutions\n* Previous experience in a leadership or mentorship role within a data engineering team\n* Write us a cover letter explaining why data engineering is of special interest to you\n\n\n\nWhat we can offer you:\n* Generous PTO and competitive pay \n* Fullscript’s RRSP match program for financial health \n* Flexible benefits package and workplace wellness program\n* Training budget and company-wide learning initiatives \n* Discount on Fullscript catalog of products \n* Ability to work Wherever You Work Well*\n\n\n\n\n\n\nWhy Fullscript?\n\n\nGreat work happens when people are supported, challenged, and inspired. Here, you’ll be part of a team that:\n\n\n⬦ Values innovation—we push boundaries and always look for better ways.\n⬦ Supports growth—through learning, mentorship, and meaningful work.\n⬦ Cares about balance—with flexible work options and time off when you need it.\n\n\n📌 Apply now—let’s build the future of healthcare, together.\n\n\nFullscript is an equal-opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request—email [email protected] for support.\n\n\nBefore joining the team, all candidates who receive and accept an offer will complete a background check.\n\n\n🚀 MORE INFO: www.fullscript.com | www.rupahealth.com | Follow us on social media @fullscriptHQ\n🔥 IN THE NEWS: Fullscript acquires Rupa Health\n📺Let’s make healthcare whole \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Testing, DevOps, Cloud, Senior, Junior and Engineer jobs that are similar:\n\n $67,500 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nMatterport seeks an enthusiastic Sr. Manager of ML Production Engineer to join our Vision & Learning team. You’ll be responsible for leading and managing the ML Production Engineering function and engineering team responsible for Matterport’s 3D reconstruction pipeline. The ideal candidate is an individual who thrives in dynamic environments orchestrating high talent engineers to optimize ML Ops and Dev Ops for new and existing capabilities. You will collaborate with machine learning engineers and data scientists to design and implement efficient and scalable machine learning pipelines, monitoring and testing frameworks, and data management processes. You will work with software engineers to ensure the seamless integration of machine learning models into our applications and services.  This position will report to the Software Vice President for Vision & Learning.   \n\n\n\nWhat you will do:\n* Bring technical experience & leadership to critical systems including Cloud Architecture, Machine Learning Operations, back-end Software Engineering, and Distributed Systems.\n* Work cross-functionally to establish product definition and design as new capabilities are brought from development into production.\n* Lead and manage cross-functional engineering projects with multiple stakeholders, with regular reporting to executive stakeholders.\n* Lead by example as a working manager with strong hands-on engineering fundamentals.\n* Work closely with internal and contracted data providers in development of dataset for training production networks as well as development networks.\n* Lead and manage senior engineers empathically; maximizing high talent individuals in dynamic product environments.\n* Work with cross-functional teams across Product, Sales, Customer Success and Business Development\n* Advocate for new technical architecture and innovation \n* Implement and refine development and cross-functional processes\n* Hire, mentor, lead, and coach senior and principal engineers to meet their full potential\n* Act as a leader for implementing best-practices across the organization\n\n\n\n Who you bring:\n* Master’s degree in Computer Science, Electrical Engineering, or related field, or equivalent experience.\n* 5-8+ years of experience in software engineering, Dev Ops & ML Ops, or related fields.\n* Strong proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, MMdetection, Detectron and, Pytorch Lightning.\n* Strong knowledge of machine learning pipelines and workflows for training, validation, and deployment of models, e.g. Experience with containerization and orchestration tools such as Docker, Kubernetes, Kubeflow, MLFlow.\n* Strong experience with AWS cloud services\n* Strong knowledge of data management processes for large-scale machine learning datasets.\n* Experience with DevOps and Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation.\n* Strong knowledge of software engineering best practices, including version control, testing, and deployment.\n* Experience with model quantization, distillation or other compression techniques.\n* Excellent communication and collaboration skills.\n\n\n\nNice to Have:\n* Master's degree or PhD in Computer Science, or related field\n* Strong knowledge of C++\n* Experience with 3D graphics, computer vision, point clouds, or spatial data\n* Experience with data streaming and real-time processing frameworks such as Kafka\n* Experience with ML dataset management tooling, such as Activeloop Deeplake.\n* Experience with database technologies such as PostgreSQL, MySQL, or MongoDB.\n* Experience with big data technologies such as Snowflake, Spark, or Hive.\n* Experience with model interpretability and explainability techniques.\n* Experience with building and deploying machine learning models on edge devices or IoT devices\n\n\nWe want to hear from you! We are looking to build the best team of people who will be empowered to do their best work. If you have what it takes, but don’t necessarily meet every bullet in the job description we encourage you to apply.\n\nThe US base salary range for this full-time position is $160,000 to $294,100 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.\n\nPerks & Benefits\n* Comprehensive health plans* – 100% of premiums covered for employees & 88% of dependent premiums for US employees\n* Flexible Time Off for Exempt Employees/Generous PTO plan for Non-Exempt Employees – Take time to rest, relax and explore! Plus we offer Summer Fridays!\n* 401k,  Company ownership in the form of RSU’s & ESPP Program\n* Medical and retirement benefits vary by Country \n* For more detail visit www.matterport.com/careers \n\n\n\n\n\n\nBelief in Diversity\n\n\nAt Matterport, we don’t just accept differences, we celebrate them and recognize the value they bring to our customers and employees. Matterport is proud to be an equal opportunity workplace and works to create and support diversity at Matterport. Equal opportunity and consideration are afforded to all qualified applicants and employees. We won’t unlawfully discriminate on the basis of gender, identity or expression, race, ethnicity, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, sexual orientation, and any other category protected by law. We are committed to providing employees with a work environment that provides a sense of inclusion and belonging and is free of discrimination and harassment. We also consider all qualified candidates regardless of criminal histories, consistent with legal requirements.\n\n\nMatterport is likewise committed to working with and providing reasonable accommodation to all qualified applicants and employees with disabilities in accordance with the American Disabilities Act\n\n\nFor more information regarding how Matterport collects and uses personal information, please review our Privacy Policies. https://matterport.com/privacy-policy\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Testing, DevOps, Education, Cloud, Senior and Engineer jobs that are similar:\n\n $50,000 — $80,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUnited States

[Please submit your application HERE for consideration.]\nAbout Us:\n\nWe are a leading provider of SaaS products for the professional services industry. We are most well-known for our legal practice management software and our online payment solution designed specifically for legal professionals. Endorsed by all 50 state bar associations and the American Bar Association, our payment solution is trusted by attorneys nationwide. Founded in Austin, TX, in 2005, we have grown to serve over 74,100 law firms and 10,000 accounting firms with a combined headcount of 500 employees.\nWhy Join Us:\n\n\n* Innovative Environment: Be part of a team that builds cutting-edge solutions to help professional businesses operate efficiently.\n\n* Industry Leader: Work with the largest legal tech company in the market.\n\n* Career Growth: Opportunity to lead our team expansion in Colombia & Brazil and become a future leader in the company.\n\n* Customer Impact: Create products that make a real difference for our customers.\n\n* Long-Term Stability: Be part of a company with a stable and long-tenured team, where you can grow and develop new skills.\n\n* Lateral Movements: Explore opportunities for lateral moves within different business units to expand your horizons.\n\n* Travel Opportunities: Chance to travel to our HQ in Austin, Texas.\n\n* Impressive Platform: Work on an incredible payments platform that processes $20 billion USD a year.\n\n\n\nKey Responsibilities:\n\n\n* You will be working with the embedded Quality Engineer to determine what test cases are high value for automation and help\n\n* You will implement automated Python-based tests that provides the team with the confidence and the freedom to make forward progress with the application\n\n* You will identify what tests should be automated and which should not, through understanding of features and product schedule\n\n* You will implement front-end, back-end, and end-to-end automation and own and maintain automated test cases and suites and associated code.\n\n* You will help build and maintain the QE infrastructure in collaboration with the devops team to provide a reliable build pipeline and test environments\n\n* You will analyze and decompose complex issues and collaborate with others to drive the adoption of standard methodologies in code health, testing, and maintainability\n\n* You will assist with post-deployment validations in pre-production and staging environments\n\n\n\nWhat We’re Looking For:\n\n\n* You have a BS in computer science or IT or at least 5 years equivalent work experience\n\n* You have experience in the design and use of an automation framework, preferably PyTest\n\n* You have a demonstrated proficiency in Python 3 and ability to complete a coding assignment\n\n* You have a strong understanding between testing types (Unit, Functional, Non-Functional, E2E, Edge Case, etc.) and what attributes of a test make it a candidate for automation and which do not\n\n* You have familiarity with a test tracking tool, such as TestRail, Tricentis qTest, or similar and use of associated APIs for reporting automated testing results\n\n* You have experience with CircleCI, Jenkins, or some other CI system\n\n* You have experience with Git or other SCM\n\n* You have a strong understanding of manual and automated testing of front-end UIs, preferably in Cypress or Playwright\n\n* You are familiar with SQL databases writing tests using complex queries, and understanding complex schemas, and the data needed to execute various automated test cases\n\n* You have a strong understanding of concepts related to computer architecture, data structures, and both testing and programming practices\n\n* You work effectively, efficiently, and independently with minimal guidance\n\n* You have previous finance/fintech or adjacent experience. This is preferred, but not mandatory\n\n\n\nPerks and Benefits:\n\n\n* Competitive salary and benefits.\n\n* Work with a supportive and collaborative team.\n\n* Opportunities for professional development and career growth.\n\n* Flexible work environment.\n\n* Long-Term Stability: Be part of a company with a stable and long-tenured team, where you can grow and develop new skills.\n\n* Lateral Movements: Explore opportunities for lateral moves within different business units to expand your horizons.\n\n* Join us and be part of a team that's making a difference in the professional services industry! Apply now and help us build solutions that empower businesses to thrive.\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Python, DevOps, Git, Senior and Engineer jobs that are similar:\n\n $55,000 — $95,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBogotá, Bogotá, Colombia

The Role\n\nLeafLink is seeking a DevOps Engineer to join our remote team who is passionate about working on teams that solve interesting, large-scale problems at a rapid pace. This role will contribute heavily to the buildout and iteration of LeafLink’s existing and emerging platform, powering an ever-expanding set of product offerings. As a member of our engineering team, you will be in a position to have a direct, lasting impact everywhere that technology powers our business.\n\nLeafLink is currently gearing up to tackle a large-scale platform overhaul that will strengthen our position as a technical leader within the industry. As such, this role has the opportunity to help shape and grow this new platform, as well as work within new and growing technologies. It’s a very exciting time to join our engineering team!\n\nIdeal candidates for this position should possess a keen mind for solving tough problems with the ideal solution, partnering effectively with various team members along the way. They should be personable, efficient, flexible, and communicative, possess a strong desire to implement change, growth, and maturity, and have a passion and love for what they do. This role comes with the opportunity to be a high performer within a department that’s fast-paced, dynamic, and quickly growing in all areas.\nWhat You’ll Be Doing\n\n\n* Drive Improvement of availability, scalability, latency, and efficiency of services alongside responsible parties\n\n* Increase the sophistication of our alerting and escalation mechanisms\n\n* Create and co-maintain dashboards surfacing actionable insights related to performance, error rate, traffic, and utilization\n\n* Build/maintain platform report cards based on tracked metrics, increasing visibility of areas for improvement in each product area associated with reliability\n\n* Identify and help develop opportunities for the platform to create libraries and automated standards for improving reliability, debugging, and general observability on our platform\n\n* Track and correlate improvements to results in NPS/customer satisfaction alongside CX and Product teams\n\n* Improve Customer Experience by analyzing signals from various sources such as DataDog that also drive service improvements and bug fixes\n\n* Help define, document, evolve, and evangelize high engineering standards and best practices across multiple areas for LeafLink’s Product, Data, and Enterprise Engineering teams.\n\n* Implement future mitigation strategies for P0 incidents and help drive industry best-in-class benchmarks for MTTR\n\n* Collaborate with engineering/product teams to drive requirements and advocate for increased customer resiliency and platform reliability\n\n* Help drive improvements within the organization around DORA Metrics\n\n* Move quickly and intelligently - seeing technical debt as your nemesis\n\n\n\nWhat You’ll Bring to the Team\n\n\n* 5+ years of professional experience as a DevOps/Cloud Engineer or Site Reliability Engineer, or other equivalent role\n\n* Familiarity with Python and Python testing best practices\n\n* Experience working in and advocating for agile environments\n\n* Extensive experience working within AWS and with its managed products (EC2, ECS, ECR, R53, SES, Elasticache, RDS, etc.)\n\n* Strong experience working with automation tooling (Terraform, Ansible, etc.)\n\n* Strong experience with containers (Docker, Compose, ECS, Kubernetes)\n\n* Hands-on experience designing, diagraming, and implementing highly available and scalable systems\n\n* Understanding of monitoring tools (Pagerduty, CloudWatch, Datadog, Sentry, etc.)\n\n* A participant in a formal 24x7 on-call rotation\n\n* Experience working within large-scale decoupled, service-oriented systems is a plus\n\n* An interest in the cannabis industry and/or the LeafLink brand\n\n\n\nLeafLink Perks & Benefits\n\n\n* Flexible PTO - you’re going to be working hard so enjoy time off with no cap!\n\n* A robust stock option plan to give our employees a direct stake in LeafLink’s success\n\n* 5 Days of Volunteer Time Off (VTO) - giving back is important to us and we want our employees to prioritize cultivating a better community\n\n* Competitive compensation and 401k\n\n* Comprehensive health coverage (medical, dental, vision)\n\n* Commuter Benefits through our Flexible Spending Account\n\n\n\n\nLeafLink’s employee-centric culture has earned us a coveted spot on BuiltInNYC’s Best Places to Work for in 2021 list. Learn more about LeafLink’s history and the path to our First Billion in Wholesale Cannabis Orders here. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Testing, DevOps and Engineer jobs that are similar:\n\n $65,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City, New York, United States