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Top Engineering Jobs in San Francisco, CA
Fintech • Machine Learning • Payments • Software • Financial Services
Leads and grows multiple software engineering teams while mentoring engineers and partnering with product managers. Oversees full-stack solution design, development, testing, deployment, resilience, scalability, and support. Drives engineering practice improvements, innovation, Agile collaboration, AWS deployments, and modernization of monolithic applications into microservices.
Top Skills:
AgileAndroidAngularjsSparkArtifactoryAWSCloud InfrastructureGoiOSJavaJSONMavenMicroservicesNode.jsNoSQLPerlPythonReactRelational DatabasesRestRubyXML
12 Days AgoSaved
Fintech • Machine Learning • Payments • Software • Financial Services
Lead DevOps engineering initiatives and developer teams building cloud-based solutions for regulatory and customer needs. Design and deliver systems using cloud-native technologies, microservices, machine learning platforms, containers, infrastructure-as-code, deployment tools, and distributed databases. Mentor engineers, evaluate emerging technologies, collaborate with product managers, and promote iterative Agile delivery practices.
Top Skills:
Amazon Web Services (Aws)AnsibleApache MesosSparkBashCassandraDockerElasticsearchGoGoogle Cloud Platform (Gcp)JavaJavaScriptJenkinsKubernetesLinuxMarathonAzurePerlPythonRubySQLTerraformUnix
Fintech • Machine Learning • Payments • Software • Financial Services
Lead technical vision and software engineering excellence for Capital One’s Card Tech team. Build production-ready, AI-native systems; design distributed, scalable, fault-tolerant architectures and API platforms; ensure performance, security, and operability; decompose complex problems; mentor engineers; recruit talent; and share technical knowledge across the organization.
Top Skills:
Api GatewaysAWSAzureCachingDockerGCPGoGraphQLGrpcJavaJavaScriptKubernetesPythonRestStreamingSwiftTypescript
Fintech • Machine Learning • Payments • Software • Financial Services
Lead a team of software developers and oversee diverse technology projects involving distributed microservices and full-stack systems. Build robust cloud-based solutions using Python, Java, AWS, databases, Docker, Kubernetes, and other technologies. Collaborate with product managers, address regulatory needs, mentor engineers, evaluate code, and stay current with emerging technologies. The role requires at least four years of software engineering experience and cloud computing experience.
Top Skills:
AWSDockerGoGCPJavaKubernetesAzureNode.jsNoSQLPysparkPythonRdbmsScalaSparkSQL
Fintech • Machine Learning • Payments • Software • Financial Services
Leads software engineering projects and developer teams building distributed microservices and cloud-based backend solutions. Collaborates with product managers, mentors engineers, evaluates code, and addresses regulatory and customer needs. Uses technologies including Java, Python, Go, Node.js, SQL, AWS, Docker, Kubernetes, relational databases, and NoSQL databases while staying current with emerging technologies and AI tooling.
Top Skills:
AgileAWSDockerGoGCPJavaKubernetesMicroservicesAzureNode.jsNosql DatabasesOpen Source RdbmsPythonSQL
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Fintech • Machine Learning • Payments • Software • Financial Services
Configure and support Workday across HCM, Recruiting, Compensation, Payroll, and Benefits. Partner with product owners and HR stakeholders to translate business needs into solutions, improve processes, test new capabilities, troubleshoot production issues, document implementations, and maintain calculated fields, custom reports, security, and integrations. Research Workday updates and promote automation, technical excellence, and operational efficiency.
Top Skills:
WorkdayWorkday BenefitsWorkday CompensationWorkday Enterprise Interface Builder (Eib)Workday HcmWorkday PayrollWorkday RecruitingWorkday ReportingWorkday Security
Reposted 22 Days AgoSaved
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
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Platform Engineer will develop and support Workday solutions, collaborate with various teams, and enhance human resource technologies for Capital One.
Top Skills:
APIsAWSCore ConnectorsCustom ReportsGCPAzureRaasRestSoapWorkdayWorkday Studio
Fintech • Machine Learning • Payments • Software • Financial Services
Lead development and delivery of Workday solutions across HCM, Recruiting, Compensation, Payroll and Benefits. Design and build complex Workday integrations and automation using web services (SOAP/REST), WSDL, XML, XSLT and Workday Studio. Provide technical leadership, code reviews, unit testing, and coach a team of integrators/configurators while partnering with product owners and HR stakeholders to optimize processes and platform performance.
Top Skills:
APIsRestSoapWorkdayWorkday ExtendWorkday StudioWsdlXMLXslt
Reposted One Month AgoSaved
Fintech • Machine Learning • Payments • Software • Financial Services
Lead diverse technology projects in distributed microservices and full stack systems, mentoring team members and collaborating with product managers on cloud-based solutions.
Top Skills:
AWSCSSDockerGoGCPHTMLJavaJavaScriptKubernetesAzureNosql DatabasesOpen Source RdbmsPythonSQLTypescript
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