Require a Software Systems Engineer-Devops in Bangalore

Designs develops troubleshoots and debugs software programs for software enhancements and new products under the guidance of senior engineers. Contributes to software including networking utilities databases and Internet-related tools and develops an understanding of hardware/software interactions.

Contributions have visible impact on well-defined features or subcomponents of a product. Applies foundational professional knowledge and fresh ideas to solve problems of moderate scope. Learns rapidly from senior engineers and code reviews participates in team initiatives and grows toward owning larger components over time.

• or in Computer Science or related major.
  
• 02 years of hands-on experience (including internships co-ops or academic projects) writing high-quality code in languages such as Python Golang Java C or C.
  
• Foundational understanding of Distributed systems Cloud Native software development Microservices and Infrastructure as Code concepts.
  
• Exposure to Virtual Infrastructure Management software like KVM OpenStack Kubernetes or VMware through coursework projects or internships.
  
• Familiarity with one or more infrastructure components like Cassandra RabbitMQ Elastic Search Docker Prometheus or Grafana (hands-on project experience is a plus).
  
• Interest in writing software with Testability Observability and Debuggability in mind for Cloud and On-prem solutions.
  
• Willingness to learn the challenges of operating large-scale software and hardware systems and contribute to solutions.
  
• Exposure to deployment and automation tooling such as Ansible Helm or Terraform (academic or personal projects acceptable).
  
• Ability to write code develop automated test cases and learn to integrate them into CI/CD pipelines for continuous execution and quality management.
  
• Understanding of building software leveraging REST or gRPC based APIs.
  
• Customer-first mindset with interest in building and automating frameworks for UI/UX using modern automation and monitoring tools.
  
• Attention to detail and willingness to learn monitoring infrastructure concepts such as OpenTelemetry and tools like Datadog or Signoz.
  
• Actively participate in design discussions ask questions and learn from architectural decision-making with cross-functional stakeholders.
  
• Collaborate well with peers and senior engineers be receptive to feedback and mentorship and ramp up quickly on team technologies.
  
• Curious to learn and stay on top of the latest technology and tooling advancements stay humble and contribute to solving customer problems.
  

Preferred Qualifications:

• Familiarity with AI/ML and AI Agentic frameworks and tools such as LangChain FastAPI (coursework or projects count).
  
• Exposure to AIOps/MLOps concepts or tools such as SageMaker Databricks Vertex AI Azure ML MLFlow.
  
• Exposure to Cloud Native GitOps tools (ArgoCD Argo Workflow etc.).
  
• Academic publications hackathon participation open-source contributions or involvement in technical communities or professional organizations such as IEEE.