Software Engineer

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Position Overview

Full Stack Software Engineer

DevSecOps

Site Reliability Engineering (SRE)

cloud-native application deployment

5 years of experience in Java/SpringBoot/Angular-based development

security tooling

CI/CD pipelines

cloud platforms

GCP

OpenShift CaaS

Key Responsibilities

DevSecOps & SRE Implementation:

• Lead the adoption of DevSecOps and SRE practices for applications built using SpringBoot, Angular, or React.
• Deploy and manage applications in GCP Cloud Run and OpenShift CaaS environments.
• Integrate and manage security tools like Cycode (SAST), 42Crunch (API security), SonarQube, FOSSA (SCA), and Kyverno (Policy-as-Code).
  

🔹 Full Stack Development

• Develop and maintain enterprise-grade applications using Java, SpringBoot, and Angular.
• Contribute to application performance, security, and scalability.
  

🔹 CI/CD & DevOps Tooling

• Build and maintain CI/CD pipelines using Tekton, Cloud Build, Git, and Gradle.
• Integrate DevOps testing tools such as Selenium and Playwright into pipelines.
  

🔹 Monitoring & Automation

• Implement monitoring/logging tools like Dynatrace, Splunk, and Grafana.
• Work on automation solutions using Python, Terraform, or other IaC tools.
  

🔹 Innovation & Consulting

• Research and recommend new tools and technologies aligned with enterprise DevOps strategies.
• Guide teams on DevSecOps best practices and resolve complex deployment or integration challenges.
  

Nice To Have

• Experience with AI/ML tools or libraries (Python/R).
• Familiarity with LLMs and Generative AI use cases for automation or enablers.
• Understanding of infrastructure-as-code tools: Terraform, Ansible, CloudFormation.
• Exposure to Google Cloud Platform (GCP) services such as:
• BigQuery, Dataflow, Dataproc, Data Fusion, Cloud SQL, Airflow, PySpark.
  

Required

Skills & Technologies:

• Java, SpringBoot, Angular
• DevOps tools: Git, Gradle, Tekton, Cloud Build
• Security Tools: Cycode, 42Crunch, SonarQube, FOSSA, Kyverno
• Testing Tools: Selenium, Playwright
• Python or R (preferred for AI/ML tasks)
• Cloud Platforms: GCP, OpenShift
• Monitoring: Dynatrace, Splunk, Grafana
• CI/CD & Infrastructure as Code: Terraform, Tekton
  

Preferred

• Experience with LLMs / GenAI
• Apigee, Airflow, PySpark
• Google Cloud Platform (GCP) Services
  

Experience

• Required: 6+ years in IT, with 4+ years in development
• Practical experience in two programming languages, or advanced expertise in one
  

Education

• Required: Bachelor’s Degree
• Preferred: Master’s Degree (optional)