Engineering Manager — AI-Driven SaaS & Cloud Platform

Socotra, Inc.; California (MO); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Bonuses

Health Insurance

Paid Time Off

Paid Parental Leave

Job summary

Socotra, Inc. is looking for a Software Engineering Manager based in California, Missouri to lead distributed engineering teams and develop scalable SaaS solutions. This role involves defining the technology roadmap, enhancing engineering practices and overseeing cloud-native system development. The ideal candidate will have over 10 years of software development experience and at least 2 years in leadership roles. This position also emphasizes the adoption of AI technologies in engineering workflows, aiming to improve productivity and quality.

Qualifications

• 10+ years of software development experience delivering large-scale production systems.
• 2+ years of engineering management or equivalent leadership experience leading distributed teams.
• Experience with front-end and full-stack development using React, Angular, TypeScript, Node.js, C#, .NET, and REST APIs.

Responsibilities

• Lead and develop distributed engineering teams delivering scalable SaaS solutions.
• Define and execute the technology roadmap for best in class web platform.
• Drive predictable, high-quality execution across multiple Scrum teams.

Skills

Software Development

Team Leadership

Agile Methodologies

CI/CD Practices

Cloud Architecture

Microservices Design

AI Integration

Full-Stack Development

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

AWS

GitLab

Terraform

Docker

Job description

Socotra, Inc. is looking for a Software Engineering Manager based in California, Missouri to lead distributed engineering teams and develop scalable SaaS solutions. This role involves defining the technology roadmap, enhancing engineering practices and overseeing cloud-native system development. The ideal candidate will have over 10 years of software development experience and at least 2 years in leadership roles. This position also emphasizes the adoption of AI technologies in engineering workflows, aiming to improve productivity and quality.