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Top Engineering Jobs in San Francisco, CA

An Hour AgoSaved
Hybrid
8 Locations
119K-164K Annually
Senior level
119K-164K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Platform Engineer, you will design and maintain Workday integrations, support HR solutions, improve processes, and collaborate across teams for automation solutions.
Top Skills: Core ConnectorsCustom ReportsRaasRestSoapWorkdayWorkday StudioWsdlXMLXslt
Reposted 3 Days AgoSaved
Hybrid
5 Locations
286K-392K Annually
Expert/Leader
286K-392K Annually
Expert/Leader
Fintech • Machine Learning • Payments • Software • Financial Services
The Sr. Distinguished Data Engineer will lead in developing innovative data engineering solutions, promote engineering excellence, mentor talent, and implement complex data analytics frameworks within Capital One.
Top Skills: AWSPythonScalaSQL
5 Days AgoSaved
Hybrid
8 Locations
119K-164K Annually
Senior level
119K-164K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The role involves developing solutions on the Workday platform for finance, supporting Finance technology initiatives, and improving processes through automation.
Top Skills: RestSoapWorkday Financials
7 Days AgoSaved
Hybrid
8 Locations
150K-205K Annually
Senior level
150K-205K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead a team to develop solutions in Workday Finance, focusing on automation and integration, while collaborating with stakeholders and improving business processes.
Top Skills: RestSoapWorkdayWorkday ExtendWorkday FinancialsWorkday Prism
Reposted 8 Days AgoSaved
Hybrid
8 Locations
119K-164K Annually
Senior level
119K-164K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Platform Engineer will develop solutions in Workday, communicate with stakeholders, support production, and optimize HR processes.
Top Skills: AWSGCPAzureRestSoapWorkdayWorkday Extend
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Reposted 10 Days AgoSaved
Hybrid
5 Locations
286K-392K Annually
Expert/Leader
286K-392K Annually
Expert/Leader
Fintech • Machine Learning • Payments • Software • Financial Services
The Sr. Distinguished Engineer will define technical strategy and architecture for payment systems while mentoring engineers and driving innovation in cloud-based banking solutions.
Top Skills: AWSAzureDockerGCPGoJavaJavaScriptKubernetesPythonSwiftTypescript
Reposted 10 Days AgoSaved
Hybrid
4 Locations
245K-335K Annually
Senior level
245K-335K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
As a Director of Software Engineering, you'll lead teams developing AI applications for marketing, managing multiple teams, mentoring engineers, and improving software practices.
Top Skills: AWSDynamo DbJavaMilvusPostgresPythonVue
Reposted 13 Days AgoSaved
Hybrid
4 Locations
286K-392K Annually
Expert/Leader
286K-392K Annually
Expert/Leader
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Distinguished Engineer at Capital One, you'll define a technical vision for cloud banking, create innovative solutions, mentor engineers, and lead the engineering community while driving strategy in observability and machine learning initiatives.
Top Skills: AIAWSEbpfGoGCPGrafanaJavaJavaScriptAzureMlOpentelemetryPrometheusPythonSwiftTypescript
Reposted 15 Days AgoSaved
Hybrid
3 Locations
215K-246K Annually
Mid level
215K-246K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead a team of developers in creating cloud-based solutions using modern technologies, while mentoring peers and collaborating with product managers.
Top Skills: AnsibleAWSDockerGoJavaKubernetesPythonRubySQLTerraform
16 Days AgoSaved
Hybrid
5 Locations
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design, development, deployment, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. Optimize large-scale AI performance (cost, latency, throughput), partner cross-functionally, and contribute to technical vision and roadmap.
Top Skills: Aws UltraclustersC#C++GoHuggingfaceJavaLlm InferenceNemo GuardrailsPythonPyTorchScalaSimilarity SearchVectordbs
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