דרושים Sr Cloud Operations Engineer ב-איביי ב-India, Bengaluru

• Full-Stack Development: Lead the end-to-end development of features and applications, from concept to deployment, ensuring seamless integration between frontend and backend components.

• Frontend Expertise: Design and implement highly responsive and intuitive user interfaces using ReactJS, ensuring optimal performance, accessibility, and user experience. Utilize NodeJS for build tools, server-side rendering, or API gateways as needed.

• Backend Mastery: Develop and maintain scalable, secure, and high-performance RESTful APIs and microservices using Java and Spring Boot. Design and manage database schemas, ensuring data integrity and efficient querying.

• Architectural Contribution: Collaborate with architects and product managers to define technical strategies, system designs, and best practices. Drive architectural decisions that promote scalability, reliability, and maintainability.

• Code Quality & Best Practices: Write clean, well-documented, and testable code. Conduct thorough code reviews, enforce coding standards, and champion best practices in software development, including CI/CD pipelines.

• Troubleshooting & Optimization: Identify and resolve complex technical issues, performance bottlenecks, and security vulnerabilities across the full stack.

• Mentorship & Leadership: Provide technical guidance and mentorship to junior and mid-level developers, fostering a culture of continuous learning and improvement.

• Cross-functional Collaboration: Work closely with product owners, UI/UX designers, QA engineers, and other stakeholders to translate requirements into technical solutions and deliver impactful features.

• Innovation: Stay abreast of emerging technologies and industry trends, evaluating and recommending new tools and approaches to enhance our development processes and product offerings.

Frontend Proficiency:

• Strong expertise in ReactJS (Hooks, Context API, Redux/Zustand, etc.).

• Proficiency with JavaScript/TypeScript , HTML5, and CSS3.

• Experience with modern frontend build pipelines and tools (e.g., Webpack, Babel).

• Familiarity with NodeJS for various frontend-related tasks or services.

Backend Proficiency:

• Extensive experience with Java and the Spring Boot framework.

• Solid understanding of RESTful API design principles and microservices architecture.

• Proficiency with relational databases (e.g., PostgreSQL, MySQL) and ORM frameworks (e.g., Hibernate, JPA).

• Experience with NoSQL databases (e.g., MongoDB, Cassandra) is a plus.

• AI Code Generation: Familiarity with foundational AI concepts and practical experience applying AI-powered coding generation (e.g., OpenAI Codex, GitHub Copilot, Anthropic Claude, Cursor, Windsurf or understanding of transformer-based code generation) will be a significant asset.

Cloud & DevOps (Preferred):

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).

• Familiarity with CI/CD practices and tools (e.g., Jenkins, GitLab CI, GitHub Actions).

Preferred:

• Experience with message queues/brokers (e.g., Kafka, RabbitMQ, SQS).

• Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI, GitHub Actions).

• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack, Splunk).

• Experience with performance tuning and optimization of Java applications.

• Understanding of security best practices in application development.

• Experience with Agile/Scrum development methodologies.

• Lead Strategic Transformation: Spearhead the design, development, and evolution of eBay's Cloud Software-Defined Platforms, Infrastructure, and Networking, ensuring our private cloud compute environment is at the cutting edge of performance and scalability.

• Drive Operational Excellence with AI: Champion our Site Reliability Engineering (SRE) principles, leveraging advanced AI/ML techniques to identify new opportunities for global operational efficiency and predictive intelligence across our vast infrastructure.

• Build & Inspire World-Class Teams: Recruit, mentor, and lead a diverse, globally distributed team of infrastructure software engineers. Foster a culture of technical excellence, continuous learning, and innovation, empowering your team members to achieve their full potential and grow their careers.

• Influence & Execute: Translate high-level business needs into clear, actionable engineering plans. Provide expert technical guidance and leadership, automating processes and enhancing team productivity from ideation through deployment and operations.

• Ensure End-to-End Quality: Own the full software lifecycle instrumentation, from initial requirements gathering to robust software development and seamless deployment, ensuring quality, observability, and scalability are built-in from day one.

• Strategic Collaboration:

• 15+ years of progressive industry experience with a deep focus on large-scale infrastructure, distributed systems, and/or cloud engineering.

• 10+ years in senior leadership roles within the technology sector, ideally managing global, geographically distributed software development and operations teams.

• Proven expertise in Software-Defined Infrastructure and Software-Defined Networking.

• Demonstrated experience in Site Reliability Engineering (SRE) and building highly resilient, scalable systems.

• Experience leveraging AI/ML to drive operational insights, productivity, automation, or efficiency improvements in infrastructure.

• Exceptional ability to lead organizational change management, influence executive stakeholders, and drive consensus in complex, cross-functional environments.

• Expertise in modern global software development methodologies (e.g., Agile, DevOps).

• Superior communication skills , with a track record of clearly articulating critical technical updates and strategies to diverse audiences, including C-level leadership.

• Proficiency in infrastructure as code (IaC) and traffic engineering .

• Hands-on experience with Kubernetes and related container orchestration technologies.

• Experience with service mesh implementations .

• Leadership in open-source projects related to cloud infrastructure.

• Strong understanding of networking, cybersecurity principles, and related fields within a cloud context.

• Experience operating and scaling platforms in high-traffic, global, and exceptionally large-scale environments.

Familiarity with multiple programming languages, including

• Platform Development & Maintenance: Build, maintain, and improve our Spring Boot framework, ensuring it's robust and scalable for thousands of internal applications.

• AI Powered Tooling: Identify problems and develop AI powered solutions to platform engineering problems

• Build & Deployment Automation: Design and maintain CI/CD pipelines using tools like Jenkins and Tekton to ensure fast, reliable, and automated software builds and deployments.

• Release Management: Coordinate software releases across multiple teams, managing dependencies and aligning with the product roadmap.

• Docker & Containerization: Build and maintain optimized Docker images, run automated vulnerability scans, and manage our image repositories and registries.

• Infrastructure Management: Set up and maintain our development, staging, and production environments, and monitor system performance to ensure stability.

• Security & Compliance: Ensure the platform is secure by regularly patching images, handling sensitive data properly, and maintaining audit logs.

• Documentation & Collaboration:

• 3-5 years of professional experience in Java development

• Strong expertise in Maven and Spring Boot .

• Hands-on experience with CI/CD tools such as Jenkins and Tekton .

• Strong knowledge of containerization technologies, including Docker and Kubernetes .

• Experience with version control systems like Git and branching strategies.

• A collaborative mindset with a desire to work with cross-functional teams.

What You’ll accomplish

• Crafting/giving functional and technical direction to a solution

• Test-driven development (TDD)/Behavior Driven Development (BDD), clean code, software craftsmanship

• Testing at all levels (unit, integration, UI and acceptance)

• Refactoring to enhance testability and re-usability

• Continuous delivery and integration

• Identify project risks, quantify risk/benefit relationships

What You’ll bring

• Bachelor's degree from an accredited College or University in Computer Science or related major and 5+ years of mobile development experience

• Experience in iOS, Swift, Objective-C, and XCode as well as familiarity with the integration of network services

• Knowledge of GraphQL, REST is helpful

• Knows about Async/Await, concurrency, combine, UIkit, SwiftUI and various iOS development frameworks essential for Mobile Application development

• Full stack development experience is a bonus

Responsibilities:

• Collaborate with architects and product managers to gather and analyze requirements.

• Author comprehensive software design documents to outline innovative solutions.

• Develop high-quality code with a focus on test-driven development.

• Design, implement, and maintain CI/CD pipelines for efficient software deployment.

• Develop monitoring dashboards and alert systems to ensure service performance.

• Fix and resolve production issues, providing outstanding customer support.

• M.S. or PhD in Computer Science or a related field, with a minimum of 3+ years of proven experience

• Extensive experience with LDAP and Active Directory (AD) directory services for authentication, identity management, and integration into secure cloud environments.

• Proficiency in one or more programming languages: Python, Go, C++ or Java.

• Proficient in problem-solving, with a strong understanding of data structures and algorithms and a solid foundation in core computer science concepts, including operating systems, security, databases and distributed systems.

• Experience working with both relational and non-relational databases like MySQL, MongoDB

• Experience working in any of Cloud Security Software development like Authentication, Authorization, Access management, Data encryption

Nice to have skills,

• Authentication and Authorization - OIDC, OAuth, SSO, FIDO

• Access management - RBAC, Scope Claim based access, Policy based access

• Kubernetes customization – API Server webhooks, Custom Resource definitions, Controllers

• Service mesh technologies like Istio and Envoy

• Platform Development: Build and roll out features for our Node.js and MUSE frameworks.

• Developer Support: Provide direct support to developers, debugging issues and triaging requests in our Slack channels.

• Maintenance & Operations: Manage monthly releases, Node.js runtime upgrades, and software upgrades.

• Tooling & Automation: Enhance our software upgrade tooling and support our continuous integration and deployment pipelines with tools like NPM, Docker, and Jenkins .

• System Integration: Integrate our frameworks with critical eBay systems, including single sign-on (SSO), cloud services, logging, metrics, and security.

• Performance & Security: Conduct performance testing and ensure our platforms are secure with regular open-source security upgrades.

• Web Technologies: Work with a range of modern web technologies, including Webpack, Vite, and React .

• 3-5 years of professional experience in software engineering.

• Strong expertise in JavaScript, Typescript, Node.js, and React .

• Knowledge of web technologies - Webpack , Vite

• Experience with Kubernetes , Docker

• Experience with a range of developer tooling and workflows.

• Experience developing REST and GraphQL APIs

• A collaborative mindset and excellent communication skills.

• first point of contact (L1) for all support requests related to the AI/ML Platform, including ML training, inference, model deployment, and GPU allocation.

• Provide operational and on-call (PagerDuty) support for Ray.io and Kubernetes clusters running distributed ML workloads across cloud and on-prem environments.

• Monitor, triage, and resolve platform incidents involving job failures, scaling errors, cluster instability, or GPU resource contention.

• Manage GPU quota allocation and scheduling across multiple user teams, ensuring compliance with approved quotas and optimal resource utilization.

• Support Ray Train/Tune for large-scale distributed training and Ray Serve for autoscaled inference, maintaining performance and service reliability.

• Troubleshoot Kubernetes workloads , including pod scheduling, networking, image issues, and resource exhaustion in multi-tenant namespaces.

• Collaborate with platform engineers, SREs, and ML practitioners to resolve infrastructure, orchestration, and dependency issues impacting ML workloads.

• Improve observability, monitoring, and alerting for Ray and Kubernetes clusters using Prometheus, Grafana, and OpenTelemetry to enable proactive issue detection.

• Maintain and enhance runbooks, automation scripts, and knowledge base documentation to accelerate incident resolution and reduce recurring support requests.

• Participate in root cause analysis (RCA) and post-incident reviews
  

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline (or equivalent experience).

• 5+ years of experience in ML operations, DevOps, or platform support for distributed AI/ML systems.

• Proven experience providing L1/L2 and on-call support for Ray.io and Kubernetes-based clusters supporting ML training and inference workloads.

• Strong understanding of Ray cluster operations , including autoscaling, job scheduling, and workload orchestration across heterogeneous compute (CPU/GPU/accelerators).

• Hands-on experience managing Kubernetes control plane and data plane components , multi-tenant namespaces, RBAC, ingress, and resource isolation.

• Expertise in GPU scheduling, allocation, and monitoring (NVIDIA device plugin, MIG configuration, CUDA/NCCL optimization).

• Proficiency in Python and/or Go for automation, diagnostics, and operational tooling in distributed environments.
  Working knowledge of Kubernetes and cloud-native environments (AWS, GCP, Azure) and CI/CD pipelines .

• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry) and incident management tools (PagerDuty, ServiceNow).

• Familiarity with ML frameworks such as TensorFlow and PyTorch, and their integration within distributed Ray/Kubernetes clusters.

• Strong debugging, analytical, and communication skills to collaborate effectively with cross-functional engineering and research teams.

• A customer-centric, operationally disciplined mindset focused on maintaining platform reliability, performance, and user satisfaction .