Senior DevOps Engineer

Summary: The Senior DevOps Engineer plays a crucial role in aligning development and operations, focusing on the automation, security, and efficient management of software delivery pipelines and infrastructure.

Responsibilities

• Design, implement and maintain CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins).
• Manage GitOps deployments with Argo CD, including application definitions and environment management.
• Automate builds, tests, and deployments across all environments.
• Implement zero-downtime deployment strategies.
• Provision and manage AWS infrastructure through Infrastructure as Code with Terraform.
• Administer containerization using Docker and Kubernetes.
• Set up and maintain monitoring and alerting systems.
• Define reliability indicators and contribute to incident management.
• Apply DevSecOps best practices and ensure compliance.
• Support development teams in adopting DevOps practices.
• Write and maintain technical documentation.

Must Haves

• Minimum 5 years of experience in a DevOps role or relevant position.
• Strong command of Terraform for Infrastructure as Code.
• In-depth knowledge of AWS cloud services (EC2, EKS, RDS).
• Proven experience in CI/CD tools (GitLab CI, GitHub Actions, Jenkins).
• Experience managing high-availability production environments.
• AI-First Mindset (Must Have) - Paymetrust is an AI-first company where speed, efficiency, and continuous innovation are core principles. We are looking for engineers who actively embrace AI-powered ways of working and use modern AI tools to increase productivity, improve code quality, automate repetitive tasks, and accelerate decision-making.

Responsibilities

• Leverage AI-assisted development tools to improve engineering efficiency and delivery velocity.
• Continuously evaluate and adopt AI-driven approaches for infrastructure automation, troubleshooting, documentation, and software delivery.
• Contribute to the company's AI-first culture by identifying opportunities to optimize workflows through AI technologies.
• Support the adoption of AI-enhanced engineering practices across development and infrastructure teams.

Must Have

• Strong interest in and practical experience using AI tools to enhance software engineering and DevOps workflows.
• Demonstrated ability to leverage AI solutions to automate tasks, improve productivity, and accelerate problem-solving.
• Growth mindset with a willingness to continuously adapt to emerging AI technologies and engineering practices.

Nice to Have

• Experience using AI-powered developer tools such as Claude, Cursor, GitHub Copilot, or similar platforms.
• Experience integrating AI capabilities into engineering, operational, or automation workflows.

Other Details

• Location: Remote or hybrid model.
• Team Structure: Collaborative, cross-functional teams.
• Reporting Lines: Reports to Head of Infrastructure / CTO.

Reason (Must Have)

• Terraform: Essential for provisioning AWS infrastructure accurately and efficiently.
• AWS knowledge: Critical for managing cloud services effectively and ensuring system reliability.
• CI/CD tools: Necessary for implementing smooth deployment pipelines which improve delivery speed.

Reason (Nice to Have)

• AWS certifications: Validates expertise and can enhance team credibility in cloud initiatives.
• SRE familiarity: Provides knowledge of reliability practices that align with production service goals.