Rust Developer

Relevant in Rust 3+ years

initial 2 months all 5 days office, later it will be Hybrid mode in Bangalore - Kormangala office.

Fully Remote also available.

Rust Engineer

Key Duties & Responsibilities:

• Design and develop scalable backend services and intuitive front-end interfaces for company platform


• Implement data ingestion and processing pipelines for large volumes of security data


• Integrate AI-driven analytics capabilities and optimize system performance


• Develop APIs and integrations with various IT and security tools


• Implement robust security measures and ensure compliance with industry standards

Troubleshoot complex issues across the full stack of company application

Skills & Qualifications Required:

Required Qualifications:

• Bachelor’s degree in computer science or related field; 5+ years of f backenddevelopment experience Strong fundamentals in computer science, cybersecurity, and networking


• Proficiency in Rust; familiarity with Go, Java, and C++


• Experience with cloud platforms, containerization, and microservices architecture


• Strong understanding of SQL and NoSQL databases


• Experience with real-time data processing, analytics frameworks, and front-end technologies


• Expertise in data pipeline technologies, ELK stack, and Apache Kafka


• Familiarity with observability tools like Datadog Vector


• Experience building high-throughput, low-latency systems for millions of users

Preferred Qualifications:

• Experience with SIEM systems, machine learning in cybersecurity contexts


• Familiarity with big data technologies, time-series databases, and data warehousing solutions


• Knowledge of GraphQL, infrastructure-as-code tools, and service mesh technologies


• Contributions to open-source projects or relevant research publications
  
  Technical Skills and Knowledge:


• Data pipelines and ETL processes


• Distributed systems (Kafka, Flink/Spark, Redis)


• ELK stack for log management and analysis


• Cloud-native technologies and serverless architectures


• API design and management


• Performance optimization for large-scale systems


• Security implementation (OAuth 2.0, encryption, data protection)


• DevOps and SRE practices