
Engineering Manager, Data Applications and Platform
1 week ago
Avalor curates and contextualizes data from hundreds of security and business tools to help companies understand and address their riskiest problems. Our robust data platform and strong security modules provide immediate and secure benefits to our customers. If you're passionate about data and helping companies improve their security posture, we'd love to have you join Avalor as we make the world a more secure place.
We're looking for an experienced Enineering Manager to join our Data Applications and Platform team. Reporting to the Senior Manager, Software Engineering, you'll be responsible for:
- Building, Leading, and mentoring a team of 4-7 Software Engineers, in all aspects while emphasizing personal example and hands-on capabilities
- Foster an inclusive, collaborative, and high-performing team culture that supports growth and innovation
- Oversee the end-to-end delivery of key data projects, ensuring they are completed on time, within scope, and meet quality standards
- Collaborate with cross-functional teams to define project goals, prioritize tasks, and allocate resources effectively
- Provide technical guidance and ensure that best practices are followed in solution design and implementation and monitoring, troubleshooting, of the team's microservices
- 2 years of experience in a management role, preferably overseeing data applications and data platforms.
- 5 years of hands-on experience in at least one high-level backend language (Java, , Python, C#) and a relevant framework (e.g., Spring, Django).
- Bachelor's degree in Computer Science, or a related field (or equivalent experience).
- Experience with microservice architecture (e.g., Docker, Kubernetes, and cloud technologies) and and cloud platforms (AWS, Azure, GCP).
- Experience working with SQL/NoSQL databases and building complex data pipelines.
What Will Make You Stand Out (Preferred Qualifications)
- Master's degree in Computer Science or a related field.
- Familiarity with Temporal.
- Familiarity with agentic AI frameworks (LangChain, LangGraph, Pydantic, or similar tool).
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