DevOps Engineer

Company Description DVK Analytics is a certified Sisense reseller and implementation partner that helps organizations modernize and scale their analytics capabilities. The company delivers next-generation Sisense solutions by combining expert BI consulting with proprietary products, including advanced plugins, AI-driven features, and dashboard experience enhancements. DVK Analytics supports enterprises across sectors such as Retail, Renewable Energy, Healthcare, and E-commerce to improve decision-making and operational efficiency. By building scalable data models, designing impactful dashboards, and integrating AI for natural-language insights, the team enables clients to go beyond traditional BI. DVK Analytics offers a collaborative environment for professionals interested in analytics, AI, and cloud-based solutions.
Role Description This is a full-time remote role for a DevOps Engineer. The DevOps Engineer will design, implement, and maintain scalable infrastructure and deployment pipelines supporting analytics products and Sisense-based solutions. Daily responsibilities include building and managing Infrastructure as Code (IaC), configuring and optimizing CI pipelines, and maintaining Linux-based systems in cloud environments. The role involves close collaboration with software developers and BI engineers to streamline releases, improve system reliability, ensure monitoring and alerting, and enhance security and performance across environments. The DevOps Engineer will also troubleshoot production issues, automate recurring tasks, and contribute to continuous improvement of tooling and processes.
Qualifications
Strong experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) and configuration management.
Software Development skills (e.g., Python, Bash, or similar languages) for automation, tooling, and pipeline scripting.
Hands-on experience with Continuous Integration and delivery (CI/CD) platforms (e.g., GitLab CI, GitHub Actions, Jenkins) and build pipelines.
Solid System Administration skills, including Linux server management, networking fundamentals, and system monitoring.
Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization/orchestration (e.g., Docker, Kubernetes) is highly beneficial.
Familiarity with security best practices, logging and observability tools, and performance optimization in distributed systems.
Ability to collaborate with cross-functional teams, communicate clearly, and operate effectively in a fully remote environment.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Work arrangement
Yes