远程Web应用高级软件工程师

Senior Software Engineer
Location:Remote

About OncoLens
At OncoLens, we're redefining cancer care through an innovative SaaS platform that enables multidisciplinary oncology teams to deliver personalized, evidence-based treatments to every patient. Our solutions power tumor boards, streamline care coordination, enhance clinical trial matching, and track quality measuresdelivering real-time insights from robust structured and unstructured data to healthcare providers and life sciences partners. Backed by premier healthcare investors, were rapidly scaling the platform that helps clinicians make life-saving decisions every day.
This is not another feature factory role. This is a chance to build and evolve the core technical foundation of a platform that directly impacts patient outcomes.
The Role
We're hiring a Senior Software Engineer to serve as a technical backbone of our platform someone who can architect systems, lead, influence, and drive engineering excellence across teams. You'll partner closely with Product, Data, Integrations, and Executive Leadership to shape platform strategy, modernize our architecture, and ensure we scale with reliability, speed, and quality.
You'll own critical backend and platform initiatives, mentor engineers, guide contractors, and play a hands-on role in building the next generation of the OncoLens platform.
What You Will Be Doing
Technical Strategy & Architecture

• Set and communicate technical strategy across multiple engineering teams, acting as a key liaison with integrations and data-flow teams.

• Lead architectural direction for core platforms and services, including:

• Temporal-based workflows

• V1 V2 platform evolution

• Vertically sliced features, rich domain models, and robust automated testing

• Ensure reliable, high-quality data ingestion and publication to the data lake and data warehouse.

• Own the long-term scalability, performance, and resiliency of our distributed microservices architecture.

Platform Ownership & Reliability

• Own the design, stability, and operation of critical backend and platform systems including:

• Authentication & authorization

• Lab integrations

• TBv2

• NAPRC

• V1 V2 migration

• Participate in on-call rotation and production support.

• Lead Datadog monitoring and alert tuning.

• Create and maintain engineering runbooks.

• Co-own multi-quarter technical roadmaps with Product.

Engineering Excellence & AI Adoption

• Drive organization-wide best practices in:

• CI/CD

• SDLC maturity

• Infrastructure as Code

• Define, champion, and safely scale the use of AI tooling across engineering workflows to improve:

• Code quality

• Developer productivity

• Time-to-delivery

Product & Cross-Functional Leadership

• Partner with Product, Customer Success, and Executives to:

• Shape product direction, including AI-powered capabilities

• Lead technical POCs

• Provide scoped estimates and architecture input

• Participate in roadmap planning and product workshops

Mentorship & Team Leadership

• Mentor engineers across levels in:

• Core engineering practices

• Distributed system design

• Effective use of AI tooling

• Lead onboarding and ongoing success of contractor and offshore teams.

• Provide clear technical guidance, uphold code quality, and support performance feedback loops.

• Complete leadership and management training and apply those skills in daily cross-functional collaboration.

Core Technologies You'll Work With

• Backend: .NET Core, Node.js / NestJS, TypeScript

• Frontend: React, React Native

• APIs: REST, HL7, FHIR

• Data: MySQL, PostgreSQL, Non-relational databases

• Cloud: AWS, Azure, or GCP

• DevOps: CI/CD, Infrastructure as Code, Git

• Monitoring: Datadog

• Workflow Orchestration: Temporal

What You Bring

• 5+ years of professional software engineering experience building and operating production systems.

• Strong expertise in backend development with modern microservice architectures.

• Experience building and scaling distributed systems.

• Deep experience with APIs, integrations, and data pipelines.

• Strong SQL skills and working knowledge of relational and non-relational datastores.

• Experience delivering cloud-native systems with Infrastructure as Code.

• A track record of mentoring engineers and influencing technical direction.

• Comfort operating in regulated environments and healthcare data ecosystems is a plus.

Why This Role is Different

• Influence platform strategy, not just ship tickets.

• Drive AI adoption inside real engineering workflows, not just bolt AI into the product.

• Work on technology that directly improves cancer treatment outcomes.

• Help scale a platform backed by top-tier healthcare investors.

• Have real ownership: architecture, reliability, long-term roadmapnot just features.

Originally posted on Himalayas