10+ years in DevOps, cloud infrastructure, or platform engineering roles.
Expertise in source control and CI/CD using tools like GitHub, Jenkins, and Maven.
Hands-on experience with GCP and cloud-native architecture.
Proficiency in Salesforce development (Apex, LWC) and tooling (SFDX, CLI).
Experience with middleware platforms such as Kafka and Mulesoft.
Familiarity with container orchestration tools like Kubernetes and Docker.
Strong skills in scripting languages like Python and Bash.
Responsibilities
Design, implement, and manage cloud infrastructure on GCP.
Support and optimize Salesforce development workflows with relevant tools.
Implement and manage API gateways for secure service integrations.
Automate infrastructure provisioning and configuration using IAC with Terraform.
Continuously learn new technologies and stay updated on industry trends.
Benefits
Flexible work environment.
Opportunities for professional growth and development.
Access to the latest tools and technologies in cloud and DevOps.
Supportive team culture with a focus on knowledge sharing.
Full Job Description
Overview:
Key Responsibilities:
Design, implement, and manage cloud infrastructure on GCP, including Cloud Run, Pub/Sub, GCS, IAM, Redis, Load Balancing, and Vertex AI.
Support and optimize Salesforce development workflows and tools like SFDX, Salesforce CLI, and Force.com Migration Tool.
Implement and manage API gateways to support secure and scalable service integrations.
Automate infrastructure provisioning and configuration using IAC tooling such as Terraform.
Learn new technologies and stay up to date with latest industry trends
Required Skills & Experience:
10+ years of experience in DevOps, cloud infrastructure, or platform engineering roles.
Proficiency with source control, continuous integration, and testing pipelines using tools such as: GitHub, GitHub Actions, Jenkins, Maven, SonarQube, and Checkmarx.
Strong hands-on experience with GCP and cloud-native architectures.
Proficiency in Salesforce development and deployment (Apex, LWC) and tooling (SFDX, CLI).
Experience with middleware platforms: Kafka, Spring Boot, Mulesoft.
Solid understanding of container orchestration (Kubernetes, Docker) and CI/CD pipelines.
Proficient in scripting languages: Python, Bash, Groovy.
Familiarity with REST, JSON, and GraphQL APIs.
Strong grasp of cloud security, IAM, and networking principles.
Experience with monitoring and observability tools.
Solid organizational, time management and judgment skills
Ability to work independently and in a team environment.
