Backend Rust Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Backend Rust Engineer based in India. You will join a cutting-edge engineering team building high-performance, distributed systems that power modern observability at scale. This role sits at the heart of designing and developing core backend infrastructure that processes massive volumes of logs, metrics, and traces in real time. You will work on highly scalable systems where performance, reliability, and efficiency are critical to product success. Your work will directly influence how engineers across the world monitor, debug, and understand complex software systems. You will collaborate with globally distributed engineers in a fully remote, highly technical, and open-source-driven environment. This is a hands-on role where deep systems thinking and Rust expertise are key to shaping next-generation observability technology.

Accountabilities

• Design, develop, and maintain high-quality backend systems and distributed applications using Rust, ensuring performance, reliability, and scalability.
• Architect and implement testable, efficient, and highly scalable code for observability workloads handling logs, metrics, and traces.
• Analyse, debug, and enhance existing systems to improve performance, stability, and maintainability.
• Identify, troubleshoot, and resolve complex production issues and software bugs in distributed environments.
• Contribute to the design and improvement of database and storage systems, including SQL and analytics processing layers.
• Collaborate with cross-functional engineers to build and optimize cloud-native, Kubernetes-based infrastructure.
• Participate in shaping system architecture decisions, particularly around distributed systems and data processing pipelines.

Requirements

• 5+ years of experience in software engineering, with strong exposure to distributed systems.
• Proven hands-on experience with Rust for backend or systems-level development.
• Strong understanding of low-level systems programming and performance optimization concepts.
• Experience with databases, SQL, and data-intensive system design.
• Familiarity with cloud infrastructure and Kubernetes-based environments.
• Exposure to observability platforms or telemetry systems (logs, metrics, traces) is highly desirable.
• Experience with building databases in Rust or working with Apache Arrow / DataFusion is a strong plus.
• Strong problem-solving mindset with the ability to work independently in complex technical environments.
• Degree in Computer Science or related field (or equivalent practical experience).

Benefits

• Competitive salary and equity/stock options
• Fully remote working environment with global collaboration
• Opportunity to work on cutting-edge distributed systems and open-source technology
• High-impact role in a fast-growing, technically ambitious startup
• Access to modern tools, infrastructure, and engineering practices
• Learning and professional development support, including training opportunities
• Collaborative, engineering-driven culture with high ownership and autonomy
• Recognition and rewards for technical excellence and contributions.

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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.