Senior Core Infrastructure Engineer

• 3-5+ years of software development experience, including building and operating production systems or large-scale distributed services.

• Proficiency in C++, Java, GO, Rust, with solid foundations in data structures, algorithms, software design, and performance optimization.

• Deep expertise in distributed systems design, including scalability, resiliency, concurrency, fault tolerance, service communication, and API design.

• Proven experience with cloud-native technologies, including containers, Kubernetes, CI/CD pipelines, Infrastructure-as-Code, and automated testing frameworks.

• Experience building observability solutions using metrics, distributed tracing, centralized logging, dashboards, and alerting systems.

• Familiarity with AI-assisted development tools and a proactive approach to adopting AI-first engineering practices.

• Strong problem-solving, communication, collaboration, and ownership skills.

• Experience building or operating distributed storage systems, object storage, metadata services, or distributed databases.

• Knowledge of distributed metadata management, partitioning, replication, consistency models, and recovery mechanisms.

• Experience optimizing cloud-scale services for latency, throughput, scalability, and availability.

• Experience operating globally distributed services across multiple regions and availability domains.

• Familiarity with OCI or other cloud infrastructure platforms, containers, and deployment automation.

• Experience developing AI-powered automation for software engineering, testing, debugging, or production operations.

• Build and enhance foundational metadata infrastructure supporting OCI Object Storage.

• Improve the scalability, performance, reliability, and operational efficiency of distributed storage services.

• Deliver critical infrastructure capabilities while maintaining high standards for software quality and production readiness.

• Accelerate engineering productivity through AI-assisted development, automation, andcontinuous improvement.

• Raise engineering quality and technical standards through mentorship, architectural leadership, and continuous improvement initiatives.

• AI-first mindset: Incorporate AI-assisted tools into daily engineering workflows while applying sound engineering judgment.

• Ownership and accountability: Take responsibility for software quality, production reliability, and operational excellence.

• Engineering excellence: Emphasize clean code, automated testing, observability, security, and maintainability.

• Collaboration: Work closely with engineers, architects, and partner teams through design reviews, code reviews, and knowledge sharing.

• Distributed Systems Engineering: Design, develop, and optimize high-performance distributed metadata service focusing on scalability, consistency, resiliency, and low latency.

• Reliability and Fault Tolerance: Build resilient infrastructure using replication, redundancy, failure recovery, and automated failover mechanisms.

• Infrastructure Automation: Lead automation initiatives across the software development lifecycle, including CI/CD, testing frameworks, deployment automation, and Infrastructure-as-Code.

• Production Operations: Support production services through monitoring, troubleshooting, incident response, root cause analysis (RCA), and on-call rotations.

• Observability and Performance: Drive reliability, scalability, and operational readiness through capacity planning, incident response, root cause analysis, and continuous improvement.

• AI-First Engineering: Actively leverage AI tools for coding, debugging, testing, code reviews, incident analysis, and workflow automation to improve engineering velocity and quality.

• Engineering Excellence: Own features end-to-end, participate in design and code reviews, maintain technical documentation and runbooks, and collaborate with engineers and architects to deliver reliable cloud infrastructure.

• Technical Leadership and Mentorship: Mentor engineers, influence technical strategy across organizations, and help raise the engineering bar through design reviews and technical leadership.

Minimum Job Qualifications
Education and/or Experience:
8 years of experience in software development

OR

Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 4 years of experience in software development

OR

Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 4 years of experience in software development

OR

Master's of Technology (M.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 2 year of experience in software development

OR

Master's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 2 year of experience in software development

OR

Doctorate in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field.

Job Skills:
Same skills as prior level plus;
Distributed Systems: Demonstrated ability in or knowledge of distributed systems, including designing or managing scalable, secure, and highly available software systems.
Prototyping: Demonstrated experience creating and refining prototypes for system validation and stakeholder feedback.
Computer Science Programming: Demonstrated understanding of computer science principles and ability to implement them in code.
Software Engineering: Demonstrated proficiency in all phases of software engineering and development.
Web Development: Demonstrated ability in or knowledge of web development, including designing, developing, or maintaining modern web applications using current frameworks.
Innovation: Demonstrated ability in or knowledge of innovation, including generating or supporting new ideas, technologies, or processes for organizational growth.
Cross-Functional/Team Collaboration: Demonstrated ability in or knowledge of cross-functional collaboration, including working with stakeholders across teams or geographies to achieve common objectives.
Information Vulnerabilities: Demonstrated ability to assess and mitigate vulnerabilities in IT and physical information assets.
Operating Systems: Demonstrated ability in or knowledge of operating systems, including installing, upgrading, and troubleshooting various operating environments.
API Development: Demonstrated ability to develop, test, and maintain secure APIs for application integration.
API Integration: Demonstrated ability to build and manage robust API integrations for seamless interoperability between systems.
Applied Algorithm Engineering: Demonstrated skill in designing, analyzing, and optimizing algorithms for efficiency and scalability.
Source Control: Demonstrated ability in or knowledge of source control, including managing and documenting code versions and release branches.

Cloud - Cloud Platforms Experience:
2 years of professional experience with cloud platforms (e.g., AWS, Azure, Google, Oracle Cloud).
Testing and Automation Experience:
3 years of experience working in testing and automation at the system level.
Distributed Systems Experience:
2 year of experience working with delivering and operating large-scale distributed systems.

Preferred Job Qualifications
Education and/or Experience:
8 years of experience in software development

OR

Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 4 years of experience in software development

OR

Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 4 years of experience in software development

OR

Master's of Technology (M.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 2 years of experience in software development

OR

Master's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 2 years of experience in software development

OR

Doctorate in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics.
People Leadership / Management Experience:
2 year of experience with cloud platforms (e.g., AWS, Azure, Google, Oracle Cloud).