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ManagerFull-timePythonRustC#AWSAzureTerraformGitAIAPIML
Salary Range
$163,200 - $220,800 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an Engineering Manager to lead and grow our AI Transformation team at Cross River. This hands-on leadership role involves approximately 60% engineering and 40% people and project management, working in-office at least three days per week at our Fort Lee, New Jersey headquarters.
Key Responsibilities
- →Lead, mentor, and support a small team of engineers and QA professionals with empathy, trust, and a focus on individual growth
- →Foster a culture that promotes sharing ideas, taking calculated risks, and learning from setbacks
- →Plan, triage, and prioritize work across multiple initiatives with lifecycles ranging from two weeks to three months
- →Design, develop, and deliver scalable, flexible, and reusable components and solutions leveraging AWS AI tools and services
- →Utilize engineering best practices to implement AI-centered and augmented solutions with a sustainable, auditable, and maintainable mindset
- →Collaborate with the AI strategy enablement team to adopt, adapt, and optimize the latest AI tools for real-world business problems
- →Document solution architectures, design decisions, and technical approaches collaboratively with the team and stakeholders
Requirements
- ✓8+ years of experience in software engineering (a mix of front-end, back-end, API, security, and other best practices), with progressive leadership or management responsibilities
- ✓6+ years of experience with C#, .NET Core, and the Microsoft development ecosystem deployed via AWS
- ✓6+ years of experience in real-time data management (SQL, NoSQL, caching)
- ✓4+ years of experience in DevOps disciplines (GIT or Azure Devops, Terraform, Python)
- ✓3+ years of experience leading, empathetically managing engineering teams and interfacing with product and business organizations
- ✓2+ years of experience or strong interest in AI/ML tooling, integrations, and the practical application of AI to business problems
- ✓Experience managing initiatives with short-to-medium lifecycles (weeks to months), in an ambiguous, fast-evolving, collaborative, and iterative environment
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