Key Qualifications:

§  A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.

§  Strong software engineering foundation with deep understanding of OOP/OOD, functional programming, data structures and algorithms, software design patterns, code instrumentations, etc.

§  5+ years proven experience with Python, Bash, PowerShell, JavaScript, C#, and Golang (preferred).

§  5+ years proven experience with CI/CD tools (Azure DevOps and GitHub Enterprise) and Git (version control, branching, merging, handling pull requests) to automate build, test, and deployment processes.

§  5+ years of hands-on experience in security tools automation SAST/DAST (SonarQube, Fortify, Mend), monitoring/logging (Prometheus, Grafana, Dynatrace), and other cloud-native tools on AWS, Azure, and GCP.

§  5+ years of hands-on experience in using Infrastructure as Code (IaC) technologies like Terraform, Puppet, Azure Resource Manager (ARM), AWS Cloud Formation, and Google Cloud Deployment Manager.  

§  2+ years of hands-on experience with cloud native services like Data Lakes, CDN, API Gateways, Managed PaaS, Security, etc. on multiple cloud providers like AWS, Azure and GCP is preferred.

§  Strong understanding of methodologies like, XP, Lean, SAFe to deliver high quality products rapidly.

§  General understanding of cloud providers security practices, database technologies and maintenance (e.g. RDS, DynamoDB, Redshift, Aurora, Azure SQL, Google Cloud SQL)

§  General knowledge of networking, firewalls, and load balancers.

§  Strong preference will be given to candidates with AI/ML and GenAI.

§  Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.