Cisco Software Development Job Alerts 2025 – WFH(Hybrid)

Qualifications

Minimum Qualification:

• Bachelor’s or Master’s degree in Engineering or Computer Science.
• A minimum of two years of hands-on experience building backend systems, web applications, and integrations in production environments.
• Strong server-side development expertise in Java, with experience in J2EE, Vert.x, or Kotlin-based services.
• Deep understanding of core Java fundamentals including threading, concurrency, synchronization, collections, generics, annotations, and JVM internals.
• Familiarity with inter-thread communication patterns, serialization mechanisms, and performance tuning of high-throughput services.
• Strong grasp of object-oriented programming, data structures, algorithms, and common design patterns.
• Practical experience building scalable REST APIs, backend services, and microservice architectures.
• Working knowledge of NoSQL databases and distributed data models.
• Hands-on experience with Kafka or similar streaming platforms, including message modeling, high-volume consumers, producers, and streaming pipelines.
• Exposure to building and operating services in large-scale cloud environments such as AWS, and comfort working with cloud-native services.
• Proficiency with Maven or Gradle, Git, Jenkins, CI/CD pipelines, and related engineering tooling.
• Familiarity with distributed systems concepts including service discovery, fault tolerance, and event-driven architectures.
• Ability to work in fast-paced agile teams and drive technical decisions in complex development environments.
• Comfort using modern AI development tools and assistants to enhance productivity, improve code quality, and accelerate delivery.
• Ability to rapidly learn new frameworks, libraries, and technologies as required.

Preferred Qualifications:

• Experience designing and operating microservices at scale using Java, Vert.x, or Kotlin in high-throughput, low-latency environments.
• Hands-on experience running workloads on AWS, including EKS, EC2, S3, CloudWatch, IAM, Lambda or similar managed services.
• Strong familiarity with modern container and orchestration technologies such as Docker, Kubernetes, Helm, and service mesh patterns.
• Practical experience building streaming or event-driven architectures using Kafka, including partitions, consumer groups, offset handling, back-pressure strategies, and exactly-once semantics.
• Comfort troubleshooting distributed systems: debugging timeouts, thread starvation, queue backlogs, serialization bottlenecks, and GC/JVM performance issues.
• Experience with CI/CD, automated testing pipelines, canary deployments, observability stacks (Prometheus, Grafana, ELK), and production monitoring best practices.
• Ability to analyze complex systems, decompose problems, reason about edge cases, and make thoughtful tradeoffs between performance, reliability, and simplicity.
• Familiarity with AI-assisted developer tools for rapid prototyping, code generation, unit test creation, architecture exploration, and productivity amplification.
• Experience driving process improvements, standardizing patterns, automating repetitive workflows, and influencing engineering best practices across teams.
• Strong analytical mindset with the ability to interpret metrics, logs, and behavioral trends to improve system performance and operational efficiency.
• Exposure to building secure, compliant, and resilient cloud-native systems with proper handling of authentication, authorization, encryption, and data privacy requirements.
• Ability to thrive in a fast-paced environment, handle ambiguity, and contribute effectively in cross-functional teams involving backend, frontend, product, and platform engineering.
• Passion for continuous learning and staying updated with new frameworks, cloud capabilities, architectural approaches, and emerging technologies.

Your Impact:

• As a Backend Software Engineer on the Cisco Spaces team, you will shape the core systems that power one of Cisco’s fastest-growing platforms.
• You will build the high-scale services that process billions of events, enable real-time building intelligence, and deliver reliable services to customers across the world.