Were looking for a Senior DevOps Engineer to help scale our operations to the next level.
As a Senior DevOps Engineer, you will play a crucial role in our engineering team working closely with all stakeholders to enhance infrastructure, streamline development processes, and ensure the reliability and efficiency of our services.
Our ideal candidate has a real passion for DevOps, great communication skills, and loves to constantly improve themselves and our working practices. If you love working on multiple projects in parallel and are a natural leader, youll fit right in. This is a great opportunity for someone passionate about cloud computing, automation, and continuous improvement to make a significant impact in a successful startup environment.
Responsibilities:
Secure, scale, and manage our cloud environments (AWS and Azure)
Design and implement automation solutions for development and production environments
Build and deploy automation, monitoring, and analysis solutions
Manage our continuous integration and delivery pipelines to ensure the timely safe release
Lead and implement industry best practices for system hardening and configuration management
Continuously evaluate existing systems with industry standards, and make recommendations for improvement
Build, manage and be responsible for our platforms up-time, infrastructure, scale and costs
Monitor, troubleshoot, and optimize performance of the cloud-based infrastructure
Lead the adoption of best practices in DevOps, automation, and infrastructure as code (IaC)
Provide technical guidance and mentorship to the DevOps team members
Work closely with other engineers (Backend, QA) in the company to integrate new deployment processes and strategies
Collaborate with stakeholders across the company to identify and implement DevOps solutions that support business objectives
Requirements: BSc in Computer Science, Engineering, or relevant experience
5+ years experience as a DevOps Engineer or similar software engineering role
Practical experience with Docker containerization and clustering (K8s/EKS/AKS)
Expertise with Terraform for AWS or Azure deployments & Helm.
Superior analytical skills with a good problem-solving attitude
Experience with relational databases: Redis, MongoDB, ElasticSearch
In-depth knowledge of build/release systems, CI/CD systems (Azure DevOps - advantage, GitHub actions, Argo)
Proficient in scripting languages (e.g., Python, Bash, PowerShell
Knowledge of networking, load balancing server, and application-status monitoring tools
Strong understanding of security principles and best practices in a cloud environment
Able to quickly learn new and existing technologies
Excellent problem-solving skills, along with the ability to work independently and remotely, but as part of a team.
Experience working in a fast-paced, dynamic environment, and the ability to manage multiple priorities and projects simultaneously.
Team player, trustful, honest.
This position is open to all candidates.