DevOps Engineer | SDE - 1 | SDE - 2
Role: Distributed Systems Engineer
Function: Engineering
Location: Bangalore
Type: Full-time
Compensation: Competitive compensation and equity
Industry: Information Technology & Services
About Company
The company is a deeptech startup revolutionizing enterprise cloud operations with an AI-native private cloud platform. The company automates orchestration, security, compliance, and workload management for hybrid cloud environments.
Backed by $30+ million in funding from RTP Global, the company has a fast-paced team of 45 seasoned tech veterans in Bangalore. The company tackles globally relevant engineering challenges with a focus on security, autonomy, and quality.
Position Overview
We're seeking a Distributed Systems Engineer with deep expertise in designing, building, and operating production-grade systems that power data at scale. You'll work on core infrastructure that enables modern data platforms to function reliably and efficiently in high-stakes environments.
Role & Responsibilities
- Design and architect distributed systems handling massive data workloads with high availability and performance
- Build and optimize production-grade infrastructure for data processing, storage, and orchestration systems
- Implement comprehensive reliability engineering practices including monitoring, alerting, and incident response procedures
- Perform capacity planning and performance tuning to ensure optimal system operation under varying loads
- Troubleshoot complex distributed system issues and implement preventive solutions for future stability
- Collaborate with cross-functional teams to deliver scalable infrastructure solutions meeting business requirements
- Maintain and continuously improve existing distributed systems infrastructure and operational procedures
Must Have Criteria
- 4-10 years of hands-on experience building and maintaining distributed systems in production environments
- Expert-level experience with Apache Kafka for real-time data streaming and message processing
- Strong proficiency with PostgreSQL for relational data management and query optimization
- Proven experience with Apache Spark for large-scale data processing and analytics workloads
- Production experience with Kubernetes container orchestration and cluster management
- Demonstrated expertise in performance tuning, capacity planning, and reliability engineering practices
- Deep understanding of distributed system failure modes, tradeoffs, and behavior under high load
Nice to Have
- Experience with cloud-native infrastructure and microservices architecture patterns
- Background in building AI/ML infrastructure or data platform solutions
- Previous experience at high-growth startups or deeptech companies
- Open source contributions to distributed systems or infrastructure projects
What We Offer
- Opportunity to build foundational AI-native cloud infrastructure from the ground up
- High ownership and autonomy in a fast-paced, engineering-excellence driven environment
- Work with cutting-edge technologies alongside seasoned tech veterans
- Competitive compensation and equity in a well-funded seed-stage startup
FAQs
Are there any additional costs for payroll processing in multiple countries?
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