Senior Core Infrastructure Engineer

As a Senior Core Infrastructure Engineer , you will be responsible for helping design, build, test, deploy and operate highly scalable services for Oracle Cloud Infrastructure's Operator access division. You should be a rock-solid coder, and a distributed systems generalist who can dive deep into any part of the stack and low-level systems and design broad distributed system interactions. Build 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. Your passion for excellence combined with your experience to be an outstanding technical contributor. You should be able to work independently and as part of a team in an Agile environment. You should be an expert communicator to both technical and non-technical stakeholders in multiple locations around the globe. You should also be able to manage multiple projects and priorities in a fast-paced environment, be results-driven, and thrive even when faced with ambiguity and uncertainty. Most importantly, you should be a team player, someone who is eager to learn, and willing to do whatever it takes to help the team succeed. 

Required Experience

BE or MS degree in Computer Science or equivalent
3 to 5+ years in a software-engineering related position in an Agile/DevOps environment
3+ years of Java development or any OO language
3+ years of experience in building and operating distributed systems
Strong knowledge of microservices, data structures, algorithms, operating systems, and distributed systems.
Solid understanding of relational databases, NoSQL systems, storage, and distributed persistence
Excellent troubleshooting, debugging, and performance tuning skills
Excellent written and verbal communication skills with the ability to present complex information clearly and concisely to all audiences.
Strong knowledge of Linux/Unix fundamentals is highly desirable
Knowledge and working experience in go-lang is highly desirable.

Responsibilities

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.

Core Responsibilities
Planning & Execution:
–Track timelines with minimal supervision, ensuring work is completed in a timely manner and is in alignment with project requirements. 
–Prioritize and adjust work as resources or timelines change, with some guidance
Collaboration & Partnership:
–Collaborates across teams to align on expectations and achieve shared objectives. Builds and maintains a comprehensive understanding of business, stakeholder, and/or customer needs to build and support effective partnerships. Actively listens to diverse perspectives and asks questions to ensure understanding of others.
Problem Solving:
–Independently identifies and addresses standard and non-standard issues in accordance with standard practices, escalating more complex issues as appropriate. Analyzes data and/or information from multiple sources to troubleshoot standard and non-standard errors. Contributes to knowledge sharing and best practices
Continuous Learning:
–Embraces continuous learning by actively seeking to build knowledge and new skills and/or tools, and staying current with industry trends and best practices. Seeks out and leverages feedback and training to improve skills. Contributes to a culture of continuous learning and knowledge sharing with team members..
Continuous Improvement:
–Develops ideas and recommends updates to increase the efficiency and effectiveness of processes, protocols, and workflows within a team. Seeks input from team members on alternative approaches and methods for improving work.

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