ELITS

Software Engineer

• Design, implement, and maintain features in OpenStack core projects (Nova, Neutron, Cinder, Glance, Trove, Ironic, Freezer, Keystone, Magnum, Heat, Octavia).
• Support architecture and platform decisions, ensuring alignment with our Cloud strategy.
• Participate in code reviews, CI/CD pipelines, testing, and deployment.
• Collaborate with squads and Platform Ops to ensure stable, production-ready OpenStack services.
• Contribute to upstream OpenStack projects, submitting patches, fixes, and documentation.
• Support migration, upgrades, and integration work between OpenStack and other platform components.
• Document solutions, processes, and architecture decisions for internal and organizational use.

OpenStack Developer – Architect

• Deep-dive into Ceph code and architecture (RADOS, RGW, core storage) to optimize performance and scalability for production workloads.
• Profile, benchmark, and troubleshoot performance issues at scale—spanning tens of petabytes and thousands of clients—to identify architectural and operational bottlenecks.
• Lead internal knowledge development and mentorship on Ceph expertise across the IaaS and Operations teams.
• Actively contribute upstream to the Ceph project by submitting patches, participating in design discussions, and influencing features critical to cloud provider use cases (e.g., multi-AZ, RGW performance, tiering).
• Develop and maintain internal build pipelines and necessary extensions, ensuring compliance and long-term maintainability.
• Partner with Platform Operations to enhance observability, maintain stability, and accelerate issue resolution in production clusters.
• Collaborate with other squads to ensure Ceph capabilities evolve in line with upcoming roadmap items such as GPU-aaS, Backup-aaS, Bare-metal-aaS, and DB-aaS.

Ceph Engineer/Developer

Artificial Intelligence

• Assess AI readiness using Cisco’s global framework—Strategy, Infrastructure (including PODs), Data, Governance, Talent, and Culture.
• Deploy, configure, and optimize Cisco AI PODs, enabling rapid onboarding and operational scaling of AI workloads in on-premises and hybrid environments.
• Work closely with engineering and IT teams to integrate PODs with enterprise infrastructure and workflows for real-world AI applications.
• Support migration, maintenance, and troubleshooting of AI workloads on PODs.
• Deliver enablement workshops and training to ensure diverse teams are equipped to utilize AI PODs and meet enterprise standards.
• Foster a culture of continuous improvement by sharing best practices and collaborating across departments.

AI Readiness Specialist

Platform Engineer

• Deliver curated, reusable datasets for BI, analytics, and ML.
• Build and run ingestion, transformation, and serving pipelines (batch and streaming).
• Implement governance: ownership, PII handling, RBAC, retention, audit and compliance.
• Set up and monitor data quality and observability (checks, alerts, incident handling).
• Design and own scalable data platform architecture (lake/Lakehouse/warehouse).
• Define and track dataset SLOs/SLAs (freshness, completeness, latency).
• Define and enforce data standards: modeling, layering, naming, metadata, contracts.

Senior Data Platform Engineer

Security Engineer

• Cloud Security Architecture - Design and implement secure cloud infrastructures using Microsoft Azure and Microsoft 365 services, ensuring they meet security, compliance, and business requirements.
• Identity and Access Management - Architect and manage secure Azure Active Directory (AAD) solutions, including multi-factor authentication (MFA), conditional access, and identity protection policies to secure user identities and access.
• Cloud Security Best Practices - Leverage Azure Security Center, Microsoft Defender, and other tools to establish best practices for securing cloud environments, including vulnerability management, threat detection, and incident response.
• Compliance & Governance: Ensure that all cloud architectures comply with industry regulations and internal security policies, including frameworks like GDPR, ISO 27001, SOC 2, HIPAA, and more. Auditing for compliance.
• Risk Management: Identify potential security risks in cloud services and design mitigation strategies. Collaborate with risk management teams to assess threats, vulnerabilities, and implement corrective actions.
• Cloud Security Tools, Automation, Scripting, and Reporting: Implement cloud security tools such as Azure Sentinel, Microsoft Defender for Identity, and Cloud App Security to monitor and automate threat detection and response. Develop automation solutions using tools such as PowerShell and Azure CLI, or Power BI to streamline cloud resource deployment and management.
• Encryption & Secure Data Practices: Ensure the encryption of data at rest and in transit across all cloud environments. Establish secure data storage practices and advocate for zero-trust models within cloud services.
• Collaboration & Consultation - Work closely with internal stakeholders, external clients, and vendors to ensure cloud environments are designed with a focus on security and meet business objectives.
• Security Incident Response: Provide leadership in identifying, responding to, and remediating security incidents or vulnerabilities within cloud services.
• Vulnerability Management: Participation in day-to-day vulnerability management activities and keep improving vulnerability management process.
• Security Awareness & Training: Educate teams on cloud security best practices, DLP policies, and compliance requirements, fostering a culture of security awareness across the organization.
• Business Continuity Management: Define and agree, together with stakeholders, the BCM process and plans, disaster recovery plans and metrics and goals.

Cloud Security Architect

AI Engineer

• Develop, deploy, and maintain AI Gateway and related generative AI services
• Implement integrations with Cloud Management System, Portal, and other internal or external platforms using modern API protocols
• Configure, deploy, and optimize LLMs and AI pipelines for production workloads
• Collaborate with coworkers in the AI & Data team and other engineering groups to integrate AI services across the cloud platform
• Contribute to CI/CD pipelines, automation, and operational processes for AI services
• Maintain and operate AI infrastructure on Linux systems with proper monitoring and observability
• Develop services using TypeScript, Python, PHP, and Rust, with a strong willingness to learn new languages as required
• Participate in code reviews, unit testing, and documentation
• Support workflow automation and integration with tools such as n8n and related open-source projects

Generative AI Developer

Frontend Engineer

• Build and evolve Angular 20 applications, creating reusable UI components with routing, state management, and comprehensive tests.
• Implement and integrate REST and GraphQL APIs from the front end, working with clear contracts, versioning, and scalable architectures.
• Integrate the front end with CMS and IAM solutions (e.g., Auth0, Entra ID), and support edge optimizations for speed and reliability.
• Collaborate on automation and DevOps practices, including containerized environments, CI/CD pipelines, and observability for front-end services.

Senior Front-End Developer

Backend Engineer

• Design, implement, and maintain cloud-based applications using C#, .NET, and Azure Services.
• Develop RESTful APIs and microservices supporting scalable and robust platforms.
• Collaborate on the architecture, deployment, and optimization of solutions across Azure environments.
• Integrate and maintain data access layers (SQL Server, Entity Framework) with focus on performance and reliability.
• Participate in the full software development lifecycle, including requirements, design, coding, testing, deployment, and support.
• Contribute to continuous integration and deployment pipelines (Azure DevOps or GitHub Actions).
• Work with cross-functional teams using Agile methodologies to deliver high-quality increments.

Software Developer – C#, .NET, Azure

DevOps Engineer

• Design, deploy and operate containerized microservices and distributed systems in production Kubernetes environments.
• Build and maintain CI/CD pipelines to enable frequent, reliable releases and automated testing.
• Implement and manage real‑time streaming data platforms (for example, Kafka or similar technologies) for low‑latency, high‑throughput workloads.
• Design and operate infrastructure with a strong focus on reliability, performance and cost‑efficiency across cloud and on‑prem/hybrid environments.
• Own infrastructure as code (IaC) using tools such as Terraform and Helm for repeatable, auditable environments.
• Monitor, troubleshoot and optimize Linux‑based systems, containers and services, including performance tuning and incident response.
• Collaborate with development teams to improve operability, observability and resilience of services (SRE mindset).
• Document architectures, runbooks and operational procedures, and contribute to continuous improvement of processes and tooling.