RhythmScience Inc.
Senior Software Engineer
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, deploy, and operate high-scale, multi-tenant Kubernetes services. Write clean, testable code, collaborate with product owners, integrate AI tools, mentor engineers, and improve performance, observability, and data processing pipelines.
Top Skills:
Build ToolsClaudecodeDebuggerDevinFlinkGoIdeJavaKafkaKubernetesMicroservicesMulti-Tenant ArchitectureObservability StackProfilersServicenowSource Control (Git)Unix
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and maintain high-scale, multi-tenant microservices on Kubernetes. Design, implement, test, and deploy performant services, integrate AI where applicable, collaborate with product owners, ensure code quality and observability, and mentor other engineers.
Top Skills:
Build ToolsClaudecodeDebuggerDevinFlinkGoIdeJavaKafkaKubernetesProfilersServicenowSource ControlUnix
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Build and productionize agentic workflows and RAG pipelines, integrate LLMs into the GTM stack, and develop high-performance backend services and ML pipelines. Connect quoting engine, Salesforce, and data lakes, solve synchronization and architectural challenges, and ensure observability, scalability, and reliability for sales automation tools.
Top Skills:
Aws LambdaAws SagemakerAws SqsData LakesGoJavaLlm AgentsPythonRag PipelinesSalesforce
About the Role
We’re looking for a Senior Software Engineer who thrives across the stack and has a passion for both infrastructure and automation. You’ll contribute to the development of core product features, improve system performance and scalability, and build automation workflows that support our internal team and customer needs.
This is a high-impact role that involves direct collaboration with both technical and non-technical stakeholders. You’ll be helping scale infrastructure, ship features to production, and identify areas for workflow and test automation that support clinical operations and product delivery.
This is a generalist, high-autonomy role where you’ll work across the full stack, infra, automation, and directly with users. Ideal for someone who thrives in a small, fast-paced environment and enjoys solving real-world problems across tech boundaries.
What You’ll Do- Build and ship core product features across backend and frontend (Python, PostgreSQL, JavaScript/Vue.js)
- Support and scale our Kubernetes infrastructure
- Develop scalable test and workflow automation frameworks using Selenium and related tools
- Collaborate directly with customers and internal stakeholders to understand business processes and identify automation opportunities
- Design and integrate automation scripts into systems and pipelines (e.g., APIs, CI/CD, databases)
- Conduct workflow analysis and propose efficient automation strategies that align with business goals
- Contribute to system monitoring, alerting, and observability
Write clean, maintainable code with strong documentation and testing practices - Frequently interface with end users, clinical stakeholders, and internal ops to understand problems and ship practical, production-grade solutions fast
- Stay current with industry best practices in test automation, DevOps, and healthcare tech
- Excellent communication and interpersonal skills, especially with non-technical stakeholders
- 5+ years of experience in software engineering
- Strong workflow/process mapping skills and attention to detail
- Track record of delivering production-ready code and automation
- Expert programming skills in Python and Django
- Expertise in using Selenium and related tooling
- Experience with Kubernetes (deployment, scaling, monitoring)
- Experience working with AWS infrastructure
- Proficiency with PostgreSQL
- Experience with CI/CD tools (GitHub Actions, GitLab CI, etc.)
- Comfortable working with REST APIs, browser dev tools, and debugging tools
- Experience with observability tools (Datadog, Sentry, Grafana, Prometheus)
- Prior exposure to health tech, PHI, or HIPAA-compliant systems
- JavaScript and VueJS experience
- Knowledge of performance/load testing tools
- Cloud experience with GCP or multi-cloud environments
- Experience working directly with customers (consulting, customer success, or support roles)
- Background in solution architecture, support engineering, or customer success
- Familiarity with Agile/Scrum methodologies
- Work across the full stack with high autonomy and ownership
- Shape infrastructure, automation, and process from the ground up
- Remote-first team with a kind, collaborative culture
- Mission-driven work improving patient care in real time
- Balanced, low-ego engineering environment with room to grow
- As an early engineer, you’ll help shape our tech stack, processes, and culture. We value execution, empathy, and pragmatism over buzzwords or perfect
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
