Ajay Kumar Pondugala

Software Engineer

Bengaluru, Karnataka, India1 yr 10 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in building scalable AI applications.
  • Proficient in full-stack development with Java and Spring Boot.
  • Strong background in cloud infrastructure and microservices.
Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in AI and cloud infrastructure.

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Skills

Core Skills

KubernetesMicroservicesJavaSpring Boot

Other Skills

EngineeringSoftware InfrastructureGoJava/Spring BootOpenTelemetryPrometheusGrafanaPostgreSQLRabbitMQTerraformReact.jsMySQLMongoDBDockerJenkins

Experience

1 yr 10 mos
Total Experience
1 yr 10 mos
Average Tenure
1 yr 10 mos
Current Experience

Cisco

3 roles

Software Engineer II

Promoted

Sep 2025Present · 9 mos · Greater Bengaluru Area · On-site

  • Working on CloudNAC (Cloud Network Access Control) at Cisco Meraki — a distributed, Kubernetes-based microservices platform enabling enterprise network authentication and authorization using RADIUS (MAB, EAP-TLS).
  • Build and operate ~15 microservices (Go, Java/Spring Boot) including AuthN, AuthZ, RADIUS, Session, Client, and Cert Validation, supporting secure access control across multi-region production environments (NA, APAC, EMEA).
  • Implement end-to-end observability using OpenTelemetry, Prometheus, Grafana, and Tempo — covering metrics, distributed tracing, structured logging, and health monitoring. Instrument custom metrics (e.g., RabbitMQ connectivity) and enhance database observability with OTel integrations.
  • Design and improve resilience mechanisms, including state-aware readiness probes, graceful degradation strategies, and real-time dependency checks for PostgreSQL and RabbitMQ.
  • Develop event-driven logging pipelines (Filebeat → OpenSearch) with session-level correlation across services, enabling deep debugging and real-time visibility into authentication flows.
  • Contribute to OpenSearch infrastructure and ingestion architecture across regions using Terraform, NGINX, and ALB for scalable log storage and retrieval.
  • Optimize CI/CD pipelines (GitLab, Helm, Athena, Deploy Agent) by enabling per-service deployments, reducing deployment time and improving release reliability with strong validation and backward compatibility.
  • Operate and troubleshoot Kubernetes environments across multiple clusters — handling pod lifecycle issues, probe failures, and production incidents including network tunnel failures and observability gaps.
  • Serve in on-call (Medic) rotation, performing production incident response, root cause analysis, and cross-team coordination using Grafana, logs, and internal tooling.
  • Build and stabilize Cypress-based E2E testing frameworks for CloudNAC dashboard workflows, fixing flaky tests and improving CI reliability.
EngineeringSoftware InfrastructureKubernetesMicroservices

Software Engineer

Aug 2024Sep 2025 · 1 yr 1 mo · Greater Bengaluru Area · On-site

  • Delivered enterprise-grade features in Cisco ISE 3.6 mainline, including CA Certificate Management and Stale Certificate Detection, strengthening security compliance and certificate lifecycle governance.
  • Drove feature design and development within Cisco ISE, leveraging spec-driven development with AI-assisted workflows to accelerate implementation, validation, and delivery.
  • Engineered scalable full-stack systems using Java, Spring Boot, React.js, and microservices architecture, improving internal tooling efficiency and product usability.
  • Designed and optimized high-performance data models (MySQL, MongoDB) to support large-scale, distributed enterprise environments.
  • Enhanced DNAC test automation frameworks, improving performance analysis efficiency by 10% and enabling data-driven validation at scale.
  • Architected and implemented Standby Node Support, eliminating single points of failure and improving high availability for global deployments.
  • Delivered Workload & Inbound Rules Preview Engine using intelligent caching, reducing latency by 20% and runtime errors by 15%.
  • Re-engineered Patch Installation Workflow with a UI-driven approach, improving upgrade efficiency by 10% and reducing operational errors.
  • Built AI-assisted test automation pipelines (PowerMock, Zalenium, Python) integrated with Jenkins CI/CD, improving release reliability and minimizing regression defects.
  • Collaborated with product and UX teams to deliver intuitive, enterprise-grade interfaces aligned with modern usability standards.
  • Resolved critical customer issues within an average of 1 week, improving customer satisfaction and retention.
  • Tech Stack: Java, Spring Boot, React.js, Python, MySQL, MongoDB, Docker, Jenkins, RabbitMQ | AI-assisted Development, Spec-Driven Engineering, CI/CD Automation
JavaSpring Boot

SWE Intern

Jan 2024Jun 2024 · 5 mos · Bengaluru · On-site

  • Built a strong foundation in enterprise networking and automation, working with routing, switching, and data center technologies in real-world environments.
  • Developed a QoS Calculator & Visualizer using HTML, CSS, and JavaScript to automate policy mapping for enterprise switches, improving QoS configuration accuracy and reducing latency bottlenecks.
  • Contributed to network test automation using Robot Framework, enabling reliable validation of complex routing and switching scenarios.
  • Gained hands-on exposure to network programmability (APIs, DevNet) and began integrating automation-driven approaches into traditional networking workflows.
  • Worked with IOS XE/XR and ACI environments, understanding large-scale network architectures and policy-driven infrastructure.
  • Collaborated with cross-functional teams to support network optimization and validation efforts, building a practical understanding of enterprise-grade systems.
  • Early exposure to AI-driven concepts in networking, forming the base for transitioning into AI-assisted engineering and automation.
Analytical SkillsTechnical Leadership

Education

Gayatri Vidya Parishad College of Engineering (Autonomous)

Bachelor of Technology - BTech — Computer Science

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