AI Summary
We are seeking a skilled Rust Engineer to design and develop scalable backend services and intuitive front-end interfaces for our company platform. The ideal candidate will have 5+ years of backend development experience, strong fundamentals in computer science, cybersecurity, and networking, and proficiency in Rust.
Key Highlights
Design and develop scalable backend services and intuitive front-end interfaces
Implement data ingestion and processing pipelines for large volumes of security data
Integrate AI-driven analytics capabilities and optimize system performance
Technical Skills Required
Benefits & Perks
Fully Remote work available
Hybrid mode in Bangalore - Kormangala office
5+ years of backend development experience
Strong fundamentals in computer science, cybersecurity, and networking
Job Description
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
Required Qualifications
Skills & Qualifications Required:
- 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
- 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
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