Full Job Description
Software Engineer
The primary responsibilities of this job include, but are not limited to:
• Design, build, and deploy cloud-native applications using GCP services like Cloud Run, Pub/Sub, and Cloud Functions.
• Design highly available and resilient cloud-native solutions leveraging event-driven architecture, automated recovery patterns, and fault-tolerant system design.
• Leverage AI-enabled Developer Lifecycle Capabilities including code generation, automated testing, code analysis, troubleshooting assistance, and deployment validation to accelerate software delivery and improve quality.
• Participate in architecture design discussions and contribute to engineering standards, reference architectures, and cloud modernization initiatives.
•• Drive CI/CD automation using modern DevOps practices for rapid, reliable deployments.
• Implement secure-by-design cloud services following industry best practices for authentication, authorization, encryption, secrets management, and data protection.
• Implement automated testing frameworks and AI-assisted quality assurance.
• Monitor and optimize application performance across distributed environments.
• Collaborate with cross-functional teams to deliver end-to-end cloud and AI-driven solutions.
• Build and maintain observability capabilities including logging, tracing, metrics, alerting, and dashboards to ensure application reliability and operational excellence. Monitor and optimize cloud resource utilization and operational costs through efficient architecture and infrastructure automation.
•• Provide second-level support for custom-developed applications.
Qualifications (Education & Experience)
Qualifications include:
• Strong experience with Java and Spring Boot. Typescript/node is a plus.
• Hands-on expertise with Google Cloud Platform (GCP), including Cloud Run, BigQuery, Cloud Storage, and Terraform.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Experience with microservice architecture, API design, and serverless computing.
• Experience/exposure to performance testing.
• Knowledge of relational and NoSQL databases (Oracle, MongoDB).
• Proficiency in CI/CD tools (Maven, GitLab).
• Ability to leverage AI-assisted development tools (e.g., code generation, automated refactoring).
• Strong problem-solving and communication skills.
• Bachelor's degree in Computer Science or related field preferred.
• GCP certification and experience with data pipelines are a plus.
Working Conditions
• Work on cutting-edge cloud projects impacting millions of customers.
• A culture that values innovation, collaboration, and continuous learning.
• Opportunities for career growth in a fast-evolving digital landscape.
• A fun, supportive environment where your ideas matter
Competitive salary $98,077 - $117,692.
The actual pay offered will be determined by multiple factors, including but not limited to the candidate's relevant experience, job-related knowledge, skills, and geographical location. Individual compensation decisions are dependent upon the facts and circumstances of each position and candidate.
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