Top Senior Engineering Manager Jobs in Charleston, SC

Reposted 25 Days AgoSaved
Remote
Charleston, SC
182K-231K Annually
Senior level
182K-231K Annually
Senior level
Automotive • Insurance • Machine Learning • Mobile • Software
The Senior Engineering Manager leads the Data Platform team, overseeing data engineers, managing data pipelines, and driving Root's data strategy across business functions.
Top Skills: AWSPythonRuby On RailsSQLTerraform
Reposted 25 Days AgoSaved
Remote
Charleston, SC
180K-210K Annually
Senior level
180K-210K Annually
Senior level
Financial Services
Lead and mentor the Activations engineering team to deliver integrations and workflows that get new banking clients to production. Balance hands-on coding, system design, code reviews, and product partnership while ensuring reliability, scalability, and high-quality backend services and APIs.
Top Skills: Event-Driven SystemsMicroservicesNode.jsPostgresPythonRest ApisTypescript
Reposted 25 Days AgoSaved
Remote
Charleston, SC
179K-242K Annually
Senior level
179K-242K Annually
Senior level
Software
Lead and manage a team building airgap-native, UDS-compatible cloud-native software. Own delivery of scalable, highly available products, collaborate with Product and Delivery, mentor engineers, improve architecture and processes, and drive secure CI/CD and infrastructure automation.
Top Skills: AndroidAWSAzureCi/CdContainersDevOpsDockerGCPGitopsHelmKubernetesKustomizePulumiTerraformUdsZarf
Reposted 25 Days AgoSaved
Remote
Charleston, SC
166K-202K Annually
Senior level
166K-202K Annually
Senior level
Healthtech
The Engineering Manager will lead a team of engineers to develop and maintain software solutions, collaborate with various teams, and implement CI/CD practices. They will also mentor engineers and influence organizational technology strategies.
Top Skills: AzureCi/CdFeature FlaggingTest Automation
25 Days AgoSaved
Remote
Charleston, SC
141K-184K Annually
Senior level
141K-184K Annually
Senior level
Healthtech
Lead and grow the Platform Engineering team, define architectural standards for pipelines, integrations, and an AI platform, drive CI/CD and IaC adoption, embed AI-native development practices, manage delivery cadence and tradeoffs, run high-velocity strike teams, coach engineers, and contribute hands-on to internal tooling and infrastructure.
Top Skills: Agent-Driven AutomationAi AgentsAi-Assisted Coding (ClaudeApplication Integration PatternsAutomated TestingCi/CdCopilot)CursorData Pipeline ArchitectureInfrastructure-As-CodeObservabilityPrompt EngineeringSemantic Data LayerSkynest Ai Platform
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