Head Of Engineering, Remote

Job not on LinkedIn

August 8

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RemoteStar

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B2B • Recruitment • SaaS

RemoteStar is a global recruitment service that specializes in hiring top-quality tech talent. By assembling diverse teams with vetted developers from various regions, RemoteStar ensures high-quality staffing while maximizing cost efficiency for companies. The service includes a rigorous vetting process, technical matching, and full onboarding support, allowing businesses to focus on their core operations while RemoteStar handles the administrative aspects of recruitment and team management.

11 - 50 employees

Founded 2020

🤝 B2B

🎯 Recruiter

☁️ SaaS

📋 Description

• We are looking for a Head of Engineering to join the business and lead our engineering efforts as we transition from a set of discrete tools to a unified platform capable of supporting our future scale and product ambitions. • Our purpose is to make a meaningful contribution to agriculture's mitigation of, and adaptation to, climate change. • This is a pivotal role that will also lead the expansion and evolution of our engineering function. • You will be responsible for shaping the team structure, hiring, onboarding, and implementing development practices that ensure scalable, high-quality engineering output. • Above all, you’ll be adaptable – equally comfortable working independently and collaborating across disciplines spanning engineering, GIS, soil science, quality management, data systems, and commercial operations. • Key responsibilities include defining the target team structure, leading hiring and onboarding of new engineering team members, and driving adherence to high engineering standards and modern workflows.

🎯 Requirements

• Strong engineering experience, including hands-on capability with Python and React.js • Android development skills or experience with Java is highly desirable • Proficiency with AWS, particularly RDS, ECS, and cloud infrastructure design • Demonstrated architectural expertise, especially in AWS environments • Experience leading platform transitions or architectural redesign projects • Proven ability to build and deploy rule-based, algorithmic, or pipeline-driven models • Expertise in large-scale data architecture and data engineering pipelines • Experience with geospatial and climate data feeds (e.g. Google Earth Engine) is a strong plus • Familiarity with modern software engineering practices and toolchains (CI/CD, IAC, testing frameworks) • Prior experience leading distributed engineering teams, including hiring, coaching, and delivery leadership