Top Tech Jobs & Startup Jobs in Austin, TX

10 Days AgoSaved
Remote
USA
107K-140K Annually
Senior level
107K-140K Annually
Senior level
Healthtech • Software
Own end-to-end operating model and outcomes for provider engagement and growth programs. Lead cross-functional teams, track and report program performance from CRM and other data sources, surface and escalate risks, engage directly with practices/providers as needed, and design scalable playbooks and operating processes.
Top Skills: Counterpart AssistantCRM
10 Days AgoSaved
Remote
USA
160K-208K Annually
Senior level
160K-208K Annually
Senior level
Healthtech • Software
Design, automate, and maintain scalable infrastructure and SRE tooling. Manage Kubernetes clusters, CI/CD, monitoring, and incident response. Improve processes, reduce toil via automation, and collaborate with engineering and data teams to support domestic and international workloads.
Top Skills: AWSAzureContainerdDnsDockerFirewallsGCPGoGrpcHelmKubernetesLinuxLoad BalancingPrometheusPythonRoutingShell ScriptingTcp/IpUdp
Reposted 11 Days AgoSaved
Remote
USA
195K-220K Annually
Senior level
195K-220K Annually
Senior level
Healthtech • Software
As a Senior Software Engineer, you will collaborate with teams to build tools enhancing healthcare, drive business outcomes, and adopt AI in development.
Top Skills: AIFull-Stack EngineeringVarious DatabasesWeb Frontend Technology
Reposted 13 Days AgoSaved
Remote
USA
187K-243K Annually
Senior level
187K-243K Annually
Senior level
Healthtech • Software
Lead and grow a ~10-person global SRE team, drive reliability and cost-efficiency of multi-tenant cloud infrastructure, build self-service platform capabilities, establish SLOs/SLIs, improve alerting, own FinOps practices, and embed AI tooling into SRE workflows.
Top Skills: ArgocdClaude CodeCloud SqlGCPGcsGithub ActionsGkeGoGrafanaHelmKubernetesPostgresPrometheusPub/SubPythonTerraform
Reposted 13 Days AgoSaved
Remote
USA
223K-275K Annually
Expert/Leader
223K-275K Annually
Expert/Leader
Healthtech • Software
Lead the Interventions engineering pillar owning technical strategy and execution for early diagnosis, longitudinal care, and treatment. Scale data and ML infrastructure, improve clinical data accuracy, manage ML/LLM features, drive AI-assisted SDLC, and partner cross-functionally with Product, Data Science, and Clinical Operations to meet clinical performance goals.
Top Skills: Ai Code AssistantsAi-Powered SdlcAutomated TestingCi/CdClinical InteroperabilityData InfrastructureIcd-10LlmMachine LearningMl Pipelines
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