Senior Core Infrastructure Engineer

Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability. Delivers features and load/performance tests; leverages data plane platforms and distributed state tools for high-volume retrieval, storage, and processing; and reviews peers’ implementations for scalability compliance. Builds fault-tolerant paths (redundancy, replication, automatic failover), applies recovery-oriented principles, and implements retries, circuit breakers, and timeouts. Proactively detects and mitigates issues via tests, alarms, dashboards, and telemetry; authors runbooks and participates in incident response and RCAs. Implements standard replication and synchronization, develops automation/IaC for troubleshooting and maintenance, and applies advanced security controls (encryption, access, remediation) while ensuring change, compliance, and documentation standards are met.

Key Responsibilities

System Design & Architecture - System Scalability:

-Implements and contributes to the development for components of distributed systems that support horizontal and vertical scaling including leveraging distributed state management tools.

-Optimizes code and/or systems for large-scale data processing in large-scale systems.

-Implements scalability requirements for assigned components and reviews implementation of team members.

-Leverages components of data plane platforms to handle large-scale data retrieval, storage, and processing.

-Implements performance and load testing.

System Design & Architecture - System Reliability Design:

-Collaborates with team to build fault-tolerant components capable of withstanding in-service updates by implementing redundancy, replication, and automatic failover mechanisms.

-Applies recovery oriented computing principles to design components that effectively handle service disruptions.

-Implements retry mechanisms, circuit breakers, and timeouts to help handle network unreliability.

System Design & Architecture - System Reliability Performance:

-Implements tests and alarm configurations to proactively detect and address issues/failures.

-Supports efforts to recover from failures by drafting and executing runbooks and operational procedures.

-Builds and customizes dashboards, telemetry systems, and alerting mechanisms to monitor component health.

System Design & Architecture - Correctness / Availability:

-Designs and implements functional requirements and testing for assigned features within an existing system.

-Implements tests scenarios (e.g., fault-injection, brown-out) to evaluate system correctness.

-Implements standard data replication and synchronization techniques to maintain data integrity and availability.

Operational Troubleshooting & Incident Management:

-Diagnoses, debugs, and resolves issues in system components to support ongoing operation.

-Implements basic strategies to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues.

-Designs and implements automation scripts and tooling used to troubleshoot operational issues.

-Participates in operational support rotations, assisting in incident responses and root cause investigations.

Compliance & Security:

-Applies advanced security measures to protect data and applications in multi-tenant environments, including encryption and access controls.

-Implements remediation plans to continuously improve security.

-Collaborates with the team to ensure cloud infrastructure complies with relevant industry standards and regulations and that documentation is up-to-date

Automation & Change Management:

-Maintains automation scripts and tools (e.g., Infrastructure as Code (IaC)) for managing cloud infrastructure.

-Adheres to change management plans for patching, updating, and rolling back applications.

Basic Qualification

• 5+ years of industry experience working on commercial or open-source software.
• Strong fluency in C++ or Java or similar modern languages
• Excellent problem-solving skills and a deep understanding of Computer Science fundamentals, including data structures, algorithms, and distributed systems.
• Experience with cloud infrastructure (AWS/GCP/Azure) and build control plane systems for cloud scale
• Strong systems programming skills, including experience with multi-threading and concurrency.
• A solid foundation in distributed systems concepts (e.g., consistency, scaling, failure recovery).
• Experience with implementation testing, debugging, and documentation, specifically within a Linux development environment.
• BS in Computer Science; Masters preferred

• Intense curiosity, willingness to question and passion for making systems