Introduction
- Work in an Agile, collaborative environment to build, deploy, configure, and maintain IBM Automation for SaaS products and On-Prem products on multiple hyperscalers
- Design and Development: Create and maintain scalable, robust, and secure backend services and APIs to support cloud-based applications
- Delivery: Make sure development deliverables would have expected timelines, milestones with the expectation of quality Collaborate multiple development teams to enable a continuous integration environment that sustains high productivity levels and emphasizes defect prevention techniques
- Co-ordinate development, QA, deployment, and documentation
- Collaborate with development and SRE teams for deployment strategies and environment provisioning.
- Design and implement automation for deployment, monitoring, logging, alerting of large-scale open data management SaaS environments
Role Overview
Your role and responsibilities
We are looking for a Lead/ Architect Infrastructure Developer with a strong background in Cloud Platforms, Automation, and SaaS based ecosystems. The ideal candidate should have hands-on expertise in designing, building, and automating scalable and secure infrastructure solutions, with a developer mindset.
Preferred Education
Bachelor's Degree
Required Technical And Professional Expertise
- Minimum 10 years of experience in Infrastructure Engineering or Infrastructure Development
- Development and operation of fully managed SaaS services and On-Premises services
- Strong proficiency in backend languages: Python and Go
- Backend Development: REST API design and implementation, Swagger documentation, OpenAPI 3.0, JWT, Authentication & Authorization, and solid understanding of software engineering principles
- Knowledge of monitoring and logging tools: Prometheus, Grafana, ELK, CloudWatch, etc.
- Familiarity with CI/CD tools: Argo CD, JFrog Artifactory
Preferred Technical And Professional Experience
- Experience working with SRE / DevOps methodologies
- Exposure to observability stacks (Prometheus, Grafana, ELK, Datadog)
- Experience with Cloud SaaS security
- Certifications in AWS/Azure/GCP or DevOps tools
- Familiarity of Instana, IBM AIOps,
Open-source software development
