Relevant in Rust 2 years
initial 2 months all 5 days office later it will be Hybrid mode in Bangalore - Kormangala office.
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 fullstack development 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
Relevant in Rust 2 yearsinitial 2 months all 5 days office later it will be Hybrid mode in Bangalore - Kormangala office. Rust EngineerKey Duties & Responsibilities:Design and develop scalable backend services and intuitive front-end interfaces for company platformImplement data ingestion and proces...
Relevant in Rust 2 years
initial 2 months all 5 days office later it will be Hybrid mode in Bangalore - Kormangala office.
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 fullstack development 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
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