The role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior FullStack Engineer - Cloud Observability based in the Canada .
This is a full-time, remote engineering role focused on building and scaling cloud integrations and observability applications.
You’ll work across the frontend, backend, and configuration layers to deliver features from concept through production.
The role combines product thinking with hands-on software engineering and direct ownership of customer-facing functionality.
You’ll contribute to technologies such as React, TypeScript, Go, and Jsonnet while working with open-source observability technologies.
Your work will help developers monitor applications and infrastructure, understand telemetry, and respond to issues more effectively.
You’ll collaborate across distributed teams, contribute to upstream open-source projects, and participate in technical and roadmap discussions.
The position also offers a remote-first environment with significant autonomy, modern AI-assisted development tools, and opportunities to influence products used at scale.
Accountabilities:
- Build and ship end-to-end features for cloud integrations and observability applications, spanning user interfaces, backend services, dashboards, and alerts.
- Develop and maintain frontend experiences using TypeScript and React, backend services using Go, and monitoring mixins using Jsonnet.
- Own projects from initial problem definition through production, including engaging with users and evaluating the impact of delivered solutions.
- Move comfortably across the technology stack according to project needs, taking responsibility for both product functionality and technical implementation.
- Create technical design proposals, lead demonstrations, and represent the team’s work in cross-functional discussions and roadmap planning.
- Contribute to open-source projects and technologies such as Prometheus, OpenTelemetry, and Grafana Alloy where relevant.
- Participate in the on-call rotation for the services and systems you own, helping maintain reliable production environments.
- Use AI-assisted development tools responsibly to accelerate prototyping, testing, refactoring, documentation, and incident follow-up while maintaining strong engineering and review standards.
- Collaborate effectively in a distributed environment through written documentation, video meetings, issues, pull requests, and cross-team communication.
Requirements:
- Proven software engineering experience with a strong interest in working across the full stack and a product-focused approach to problem solving.
- Professional experience with both frontend and backend development; experience with TypeScript/React and Go is highly relevant, while comparable languages and frameworks may also translate well.
- At least two years of experience working with Golang.
- Practical experience using AI-assisted development tools, coding agents, or LLM-based tooling as part of a modern software development workflow.
- Working knowledge of observability concepts and technologies, including Prometheus, Grafana dashboards, alerting, telemetry, and production monitoring.
- Strong written and verbal communication skills, with the ability to work independently and collaborate effectively across distributed teams and time zones.
- Ability to take ownership, raise concerns early, advocate for technical or product decisions, and communicate effectively with stakeholders beyond the immediate team.
- Strong product mindset, with the ability to start from user needs and determine what should be built as well as how it should be implemented.
- Experience with open-source development, developer tooling, Grafana plugins or dashboards, Grafana Alloy, the OpenTelemetry Collector, Jsonnet, or telemetry pipeline technologies is advantageous.
- Experience operating or being on call for the systems you instrument is a plus, particularly where it has informed practical approaches to monitoring and alerting.
Benefits:
- Full-time, remote opportunity for candidates in the United States and Canada, with the role aligned to the EST time zone.
- Base compensation range in the United States of $154,445–$185,334 USD, with actual compensation varying according to level, experience, and skills assessed during the hiring process.
- Restricted Stock Units (RSUs), providing employees with an ownership interest in the organization’s success.
- Remote-first, globally distributed working environment with colleagues across multiple countries.
- Company-funded access to modern AI coding assistants and frontier AI models, subject to applicable security guidelines.
- High degree of autonomy, trust, and flexibility within an innovation-driven engineering culture.
- Opportunities for professional development and career growth.
- Exposure to open-source technologies and opportunities to contribute to projects with broad developer communities.
- Transparent communication, collaborative teams, and regular organizational updates.
- Annual leave policy providing up to 30 days per year, including designated shutdown days, subject to applicable local legislation.
- In-person onboarding designed to help new team members build relationships and understand the organization, culture, and ways of working.
- A supportive, inclusive environment with an emphasis on collaboration, meaningful work, and sustainable work-life balance.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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