We are seeking a Senior Devops Engineer to lead and shape the Devops domain at Grain. In this role, you’ll take full ownership of our infrastructure - designing, implementing, and evolving scalable, secure, and automated systems that power our fintech platform.

As the only Devops engineer in the R&D team, you will drive our cloud architecture, CI/CD pipelines, monitoring systems, and deployment processes from the ground up. You’ll play a crucial role in ensuring our engineering teams can deliver quickly, safely, and with confidence.

This is a hands-on, high-impact position for someone who thrives in autonomy, enjoys solving complex technical challenges, and wants to build the foundation of DevOps culture in a fast-growing fintech startup.

Responsibilities

• Design, build, and maintain reliable and scalable cloud infrastructure on AWS.
• Develop and optimize CI/CD pipelines to support rapid, safe deployments.
• Implement automation to improve developer velocity and reduce operational overhead.
• Establish best practices for infrastructure-as-code, observability, and security.
• Collaborate with R&D and data teams to enable scalable data and compute workflows.
• Continuously evaluate and integrate new tools and technologies to enhance system performance and reliability.
• Serve as the go-to expert for DevOps practices and mentor team members on automation and infrastructure topics.
• Partner closely with engineering leadership to shape the long-term DevOps roadmap.

Qualifications

• 6+ years of experience as a Devops, Infrastructure, or Site Reliability Engineer.
• Proven hands-on experience with AWS and Terraform (IaC).
• Strong knowledge of containerization and orchestration (Docker, ECS, or EKS/Kubernetes).
• Experience building and managing CI/CD pipelines (GitHub Actions, Jenkins, or similar).
• Proficiency in Python and/or Bash scripting for automation and tooling.
• Familiarity with monitoring and observability tools such as Coralogix, Datadog, or cloudwatch.
• Experience managing production systems with high availability and security requirements.
• Exposure to AI/ML or data workflows in production environments is an advantage.
• Excellent communication skills and the ability to work cross-functionally.
• A proactive, ownership-driven mindset — comfortable working independently in a fast-paced startup environment.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.