Salary
≈ $23k – $59k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Senior · 5+ years exp
Overview
Company
Impact
Profile match
DTDL (Digital Transformation and Data Analytics Solutions) is an Indian technology firm specializing in digital solutions, data management, and enterprise IT services. The company provides customized software development, cloud integration, and advanced analytics to help businesses optimize their operations and scale efficiently. Based in India, it serves as a digital transformation partner for organizations looking to leverage technology for business growth and modernization.
We are looking for a highly motivated and hands-on Senior Software Engineer - DevOps (GCP) to support the design, automation, deployment, and operation of cloud-native infrastructure and applications. The ideal candidate should have strong experience with Google Cloud Platform (GCP), Kubernetes, Terraform, Docker, CI/CD, monitoring, and incident management. This role offers an opportunity to work on modern cloud platforms, improve deployment automation, enhance platform reliability, and contribute to building scalable and secure engineering solutions.
Responsibilities:
- Build, manage, and optimise cloud infrastructure on Google Cloud Platform (GCP).
- Deploy and maintain containerised applications using Docker and Kubernetes (GKE).
- Develop and manage Infrastructure as Code (IaC) using Terraform.
- Build and maintain CI/CD pipelines to support automated application deployments.
- Monitor production systems and proactively resolve operational issues.
- Configure and maintain monitoring, logging, and alerting solutions.
- Support API Gateway administration, API security, and traffic management activities.
- Participate in incident management, troubleshooting, root cause analysis (RCA), and production support activities.
- Collaborate with development teams to improve deployment reliability, automation, and operational efficiency.
- Implement cloud security best practices, IAM policies, and access controls.
- Maintain operational documentation, deployment procedures, and runbooks.
- Work closely with engineering, QA, product, and security teams in an agile environment.
Requirements:
- 5-8 years of experience in DevOps, Cloud Engineering, Platform Engineering, or Site Reliability Engineering (SRE).
- Strong hands-on experience with Google Cloud Platform (GCP), including Google Kubernetes Engine (GKE), Compute Engine, Cloud Storage, IAM, VPC Networking, Cloud SQL, Cloud Monitoring, and Cloud Logging.
- Experience with Kubernetes (GKE) administration and container orchestration.
- Strong hands-on experience with Docker and containerised application deployments.
- Experience implementing Infrastructure as Code using Terraform.
- Experience building and maintaining CI/CD pipelines using Jenkins, GitLab CI/CD, ArgoCD, or similar tools.
- Experience with Linux administration and shell scripting.
- Knowledge of API Gateway administration and API lifecycle management.
- Operational understanding of OAuth2 OpenID Connect (OIDC), and API security concepts.
- Experience with monitoring, logging, and observability tools such as Prometheus, Grafana, ELK Stack, and GCP Monitoring and Logging.
- Experience supporting production environments and handling operational incidents.
- Understanding of cloud networking, security, scalability, and high-availability architectures.
- Strong ownership mindset and problem-solving skills.
- Passion for automation, reliability, and continuous improvement.
- Excellent communication and collaboration abilities.
- Ability to work effectively in Agile and fast-paced environments.
- Willingness to learn and adopt modern cloud and DevOps technologies.
- Core Technologies: Google Cloud Platform (GCP), Kubernetes (GKE), Terraform, Docker, Linux, CI/CD, API Gateway Administration, OAuth2/OIDC, Cloud Monitoring, Logging and Alerting, Incident Management, Prometheus, Grafana, GitOps, and ArgoCD.
Preferred Skills:
- Experience with GitOps and ArgoCD.
- Exposure to Kafka, Pub/Sub, RabbitMQ, or messaging platforms.
- Experience with Elasticsearch and centralised logging solutions.
- Knowledge of cloud cost optimisation and FinOps practices.
- Exposure to AI-assisted DevOps and infrastructure automation tools.
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