We are seeking a highly skilled Senior DevOps Engineer, with vast experience in scaling, and automation of our cloud infrastructure. The ideal candidate will have extensive experience in AWS, Kubernetes, Terraform, CI/CD automation, and analytics, working closely with development, security, and operations teams to ensure high availability, scalability, and reliability of our infrastructure.
Responsibilities
Cloud Infrastructure : Architect, manage, and scale all aspects of cloud infrastructure primarily in AWS, leveraging Terraform for automation and efficiency.
CI/CD & DevOps Practices: Design and implement CI/CD pipelines to streamline deployment and improve efficiency.
Monitoring & Observability: Establish robust monitoring, logging, and auditing measures to ensure best practices for system observability, easy debugging and reliability.
Containers & Kubernetes: Deploy and manage containerized applications using ArgoCD, Kubernetes, Docker, and Helm.
Collaboration & Leadership: Work cross-functionally to optimize workflows, drive automation, and improve infrastructure scalability.
Automation - Automate deployment processes to enhance efficiency and minimize downtime.
Databases: Manage databases for high availability and performance.
Requirements: 5+ years of experience in a DevOps role, with a focus on AWS cloud infrastructure.
Strong expertise in Terraform for Infrastructure as Code (IaC).
Proven experience designing, implementing, and optimizing CI/CD pipelines.
Proven experience in Kubernetes, Helm, ArgoCD and container orchestration.
Proven experience with creating new architectures for cloud infrastructure.
Proficiency in automation and scripting with Python, Bash, or Go.
Strong understanding of cloud security best practices and compliance frameworks.
Excellent problem-solving skills and the ability to troubleshoot complex issues in a fast-paced environment.
Strong communication skills and ability to collaborate with cross-functional teams.
Advantages:
Deep understanding of monitoring and observability tools such as Kibana, Prometheus, Grafana, and Datadog.
Familiarity in working with AI models, and tools such as Claude Code, Cursor
Strong experience with managing GCP environments.
Familiarity with event-driven architectures and message queues (Kinesis, SQS, RabbitMQ).
Hands-on experience managing cloud databases and optimizing performance.
Experience with HashiCorp tools such as Consul and Vault.
Experience in machine learning infrastructure and data engineering workflows.
Experience managing highly secure & mature cloud environments.
This position is open to all candidates.