Company Description:
Rewst is a tool designed for Managed Service Providers (MSPs) to streamline and automate their processes, saving valuable time and effort. Our platform helps MSPs achieve big automation wins, resulting in increased productivity and efficiency. We value the flexibility of remote work and enjoy opportunities to collaborate in person on occasion.
Location: South AfricaJob Overview:Rewst is seeking talented experienced engineers to join our teams in building cutting-edge infrastructure that powers workflow automation for thousands of IT professionals and MSPs worldwide. As a member of our team, you will have the opportunity to work on complex technical problems, build new capabilities, and improve existing systems across our platform, including distributed services, messaging infrastructure, and multi-region deployments. Our teams are constantly pushing the boundaries of scalability and reliability, and we're looking for passionate individuals who can help us advance the way businesses automate their operations at scale. If you're interested in joining a world-class team of engineers building infrastructure that has significant impact on how IT teams work, we encourage you to apply.
Responsibilities:Code with Purpose: Implement, test, and ship clean, efficient, and scalable code across the full stack — from React/TypeScript front-ends through to Go and Python back-end services — acting as a primary resource for maintaining and enhancing critical systems
Lead Design Reviews: Participate in and lead design reviews with peers and stakeholders to evaluate and decide among available technologies; manage project priorities, deadlines, and deliverables with your technical expertise
Technical Problem-Solver: Architect efficient, scalable distributed systems; triage and debug production issues by analyzing their sources and impact across services, infrastructure, and operations — and drive them to resolution
Translate AI into Product: Lead the technical execution of transitioning experimental, bleeding-edge AI prototypes into scalable, secure internal products; bridge the gap between AI capabilities and practical daily engineering workflows
Set Technical Direction: Drive consensus on approach within your squad, document architectural decisions, and provide technical guidance and mentorship to peers — including helping onboard new team members
Collaborative Coder: Actively participate in code reviews, offering actionable feedback on style, accuracy, testability, and efficiency; contribute to sprint ceremonies and keep the team aligned on delivery
DevOps Mindset: Design and build solutions that incorporate monitoring, observability, and feedback loops; support CI/CD pipelines, write post-mortems with clear root cause analyses, and embed security into design and implementation
SRE Function: Engage in the full lifecycle of services — from inception and design through deployment, operation, and refinement. Support services before they go live through system design consulting, capacity planning, and launch reviews. Once live, measure and monitor availability, latency, and overall system health. Scale systems sustainably through automation, and evolve them by pushing for changes that improve reliability and velocity. Participate in on-call rotations, practice sustainable incident response, and write blameless postmortems that lead to real systemic improvement
Champion AI Tooling: Actively use and advocate for LLM-assisted workflows across the engineering team; stay ahead of emerging AI developer tools and share insights to uplift team productivity
Proactive Contributor: Contribute to existing documentation and educational content; identify opportunities to improve software development, delivery, and operational processes — and actively help drive those improvements
Establish Ownership: Build deep, expert end-to-end understanding of one or more platform areas, indexing high on technical problem-solving to unblock development and translate ambiguous concepts into delivered solutions
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7+ years of programming experience in a relevant language, with at least 2 years in a senior or tech-lead capacity
Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
Experience building maintainable and testable codebases, including API design and unit testing techniques
Demonstrated AI proficiency: daily practical use of LLM assistants (e.g. Claude, GitHub Copilot, Cursor) for coding, debugging, and documentation — with the ability to evaluate AI output critically
Experience in programming languages such as TypeScript, Python, or Go
Experience with relational databases such as PostgreSQL, and with GraphQL APIs
Experience with AWS infrastructure, Kubernetes/EKS, Terraform, and distributed systems such as RabbitMQ
Experience designing and operating CI/CD pipelines, including integration, automation, and observability
Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
5+ years of relevant experience building large-scale applications or distributed systems
Familiarity with workflow orchestration engines (Temporal, Airflow, or similar)
Experience completing projects at large scope and establishing ownership of a component, feature, or system
Awareness of AI-assisted architecture and design patterns; comfort contributing to AI-powered product features
Why Join Us:
Opportunity to make a significant impact in a fast-growing startup environment
Collaborative and inclusive culture that values creativity, diversity, and innovation
Competitive compensation package, including equity options and benefits
Flexible work arrangements and a supportive work-life balance
