Weave is looking for an experienced and highly skilled Backend Engineer having experience in Data Analytics. You’ll work in a deeply collaborative environment, to design and deliver resilient, scalable backend systems that power critical features in our Analytics platform and products. You’ll influence architecture, drive outcomes, and provide insights to improve on how 30K+ healthcare practices operate day-to-day.
This position will be remote
Reports to: Engineering Manager
Design, build, and maintain scalable backend services and APIs using Go (Golang) microservices.
Drive technical architecture and contribute to long-term system health by anticipating scaling and maintenance needs.
Collaborate cross-functionally with product, design, and frontend teams to deliver high-impact features.
Participate in system design reviews, propose and implement robust solutions, and contribute to Weave’s overall engineering strategy.
Own the quality, reliability, and observability of your code from development to production.
Help plan and execute projects from inception to delivery, with a strong sense of ownership and outcome-orientation.
Mentor peers and junior engineers by sharing your knowledge and encouraging best practices.
5+ years of backend engineering experience with modern programming languages such as Go, Java, Python, Ruby, or C# (Go preferred or willingness to learn).
Experience designing and building RESTful APIs and backend services.
Experience working with relational databases and SQL.
Experience building data/analytics platform
Strong understanding of distributed systems and inter-service communication (e.g., protobufs/gRPC, ReST, NSQ, Kafka, Redis).
Experience with data engineering technologies like connectors, message queue, data warehouse, Airflow/Dagster, dbt, etc.
Willingness to participate in an on-call rotation with your team and take responsibility for production systems.
You’ve deployed and maintained services in cloud environments, especially Google Cloud Platform (GCP).
You’re comfortable with Docker/Kubernetes, observability tooling (metrics, alerts, tracing), and service reliability.
You’ve worked with protobufs/gRPC, or Temporal, and have experience breaking monoliths into microservices.
You’re thoughtful about technical debt and scalability, and you write code with both today and the future in mind.
You value cross-functional collaboration and can explain complex systems to both technical and non-technical stakeholders.
You lead with curiosity, seek to understand before acting, and strive to elevate the team around you.
You love owning responsibilities on your shoulders and live by it.
At Weave, we use Artificial Intelligence (AI) tools to help us work more efficiently and create a smoother candidate experience. AI may assist with things like writing job descriptions, scheduling interviews, or reviewing applications against job-related criteria. For additional information, please review the External AI Policy Statement available on our Careers page.
Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported. We welcome anyone who is hungry to learn, problem-solve and progress regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other applicable legally protected characteristics. If you have a disability or special need that requires accommodation, please let us know.
All official correspondence will occur through Weave branded email. We will never ask you to share bank account information, cash a check from us, or purchase software or equipment as part of your interview or hiring process.
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As the pace of innovation continues, it is growing more difficult to see the value of technology. Often meaningful information is inaccessible at the time it would be most beneficial. Weave threads together data, software and communication platforms to build stronger relationships at the point of contact by making valuable information instantly available in simple and intuitive formats. This delivers improved productivity, better collaboration and greater insights making it easier to meet the needs of patients and to build better business and clinical outcomes.
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