Staff Backend Engineer - Grafana Databases, Loki Ingest | USA | Remote at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

24 Jan, 26

Salary

201907.0

Posted On

26 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Backend Engineering, Distributed Systems, Observability Databases, Cloud-Based Systems, Microservices Architecture, Programming Languages, Collaboration, Mentoring, Open-Source Contributions, System Architecture, Kafka, Kubernetes, Grafana, Prometheus, SRE Practices

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Backend Engineer - Grafana Databases, Loki Ingest in United States. As a Staff Backend Engineer, you will take ownership of the development, operation, and optimization of critical distributed systems for observability databases. You will collaborate closely with cross-functional teams to design, build, and maintain scalable, high-performance systems that support metrics, logs, traces, and profiles at massive scale. This role emphasizes autonomy, ownership, and deep technical expertise, with opportunities to influence product roadmap, mentor colleagues, and contribute to open-source projects. You will work in a remote-first, innovation-driven environment that encourages experimentation, iterative development, and continuous learning. Your work will directly impact both the reliability of cloud services and the success of end-users across industries. Accountabilities Design, build, operate, and maintain scalable, high-performance distributed systems for observability databases such as Grafana Loki, Mimir, Tempo, and Pyroscope. Drive projects end-to-end, from ideation through production deployment and operations. Participate in technical roadmap planning and actively influence product and engineering decisions. Contribute to open-source projects and internal tools that may extend beyond your immediate team’s scope. Mentor and support other engineers, participate in design discussions, and maintain high standards for code quality. Take part in on-call rotations and ensure reliability, availability, and performance of critical systems. Continuously improve internal processes, system architecture, and cloud infrastructure practices. Strong experience with at least one programming language (Go preferred; Python, C, C++, Rust, or similar also applicable). Proven experience delivering projects from concept through deployment in a self-driven manner. Familiarity with cloud-based systems and experience running distributed systems at scale. Expertise in writing clean, robust, maintainable, and performant software. Understanding of microservices architecture and distributed system principles. Excellent collaboration and communication skills in a remote-first environment. Ability to mentor others and contribute to team knowledge and growth. Bonus Points: Experience with Kubernetes and Helm. Experience operating Kafka at scale. Prior use of Grafana, Prometheus, or similar monitoring tools in operational roles. Familiarity with on-call rotations, SRE practices, or infrastructure-as-code. Competitive base salary in the range of USD 168,256 - USD 201,907, plus potential bonuses and equity (RSUs). 100% remote work, flexible schedule, and global collaboration. Health, dental, and vision coverage with wellness support programs. Professional development opportunities, including learning new technologies and mentorship. Paid time off, including company-wide shutdown days for full disconnection. Contribution to a diverse, inclusive, and open-source-focused culture. Opportunities to work on meaningful projects in high-impact systems used worldwide. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Design, build, operate, and maintain scalable, high-performance distributed systems for observability databases. Drive projects end-to-end, from ideation through production deployment and operations.