Managing Engineer - Risk Insights and Risk Engineering
New
USFull-TimeManager
Salary120,000 - 193,725 USD per year
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Job Details
- Experience
- 5+ years of software or data engineering experience; 2+ years of experience leading engineers
- Required Skills
- AWSDockerPythonETLJavaJavascriptKubernetesAzureCI/CD
Requirements
- 5+ years of software or data engineering experience with strong hands-on development in Python, Java, or JavaScript.
- 2+ years of experience leading engineers with responsibility for architecture, technical direction, and code quality.
- Experience building and operating scalable distributed systems, APIs, microservices, or data pipelines.
- Strong knowledge of modern engineering practices including CI/CD, automated testing, monitoring, observability, and system reliability principles.
- Experience working in agile environments with cross-functional stakeholders and delivering complex technical initiatives.
- Strong communication and leadership skills, with the ability to influence technical decisions and mentor engineering talent.
- Experience in risk, compliance, security, or data/analytics domains is strongly preferred.
- Exposure to cloud platforms (AWS, Azure, Kubernetes, Docker) and enterprise-scale systems is highly desirable.
Responsibilities
- Lead and mentor engineering teams responsible for delivering scalable data products or secure software systems, including architecture guidance, code reviews, and delivery oversight.
- Define and drive technical strategy across data pipelines, APIs, backend systems, dashboards, or security controls depending on the domain focus.
- Contribute hands-on to critical engineering work, including Python/Java development, ETL pipelines, system design, and architecture decisions.
- Own operational excellence, including system reliability, performance, data quality, or production stability and security compliance.
- Collaborate with product managers and cross-functional teams to translate risk, compliance, and business requirements into scalable engineering solutions.
- Promote modern engineering practices such as CI/CD, automated testing, observability, DevSecOps, and reusable system patterns.
- Drive agile delivery with a focus on measurable outcomes, continuous improvement, and business value creation.
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