DevOps Engineer

Company Description DVK Analytics is a certified Sisense reseller and implementation partner that helps organizations transform how they build, use, and scale analytics. The company delivers next-generation Sisense solutions by combining expert BI consulting with proprietary products such as advanced plugins, AI-driven features, and enhanced dashboard experiences. DVK Analytics supports enterprises across sectors including Retail, Renewable Energy, Healthcare, and E-commerce, focusing on modernizing analytics, improving decision-making, and increasing operational efficiency. From scalable data models to high-impact dashboards and AI-powered natural language insights, the team empowers clients to move beyond traditional BI and maximize the value of their Sisense investments.
Role Description This is a full-time, remote DevOps Engineer role. The DevOps Engineer will design, implement, and maintain cloud and on-premise infrastructure to support Sisense-based analytics solutions and internal platforms. Day-to-day responsibilities include building and managing CI pipelines, automating deployments using Infrastructure as Code, monitoring system performance, and ensuring high availability and reliability of services. The role involves close collaboration with software developers, data engineers, and BI consultants to streamline release processes, improve tooling, and enhance security and compliance across environments. The DevOps Engineer will also troubleshoot production issues, optimize Linux-based systems, and contribute to documentation and best practices for DevOps workflows.
Qualifications
Candidates should possess strong Infrastructure as Code (IaC) skills (e.g., Terraform, CloudFormation, or similar tools) for provisioning and managing scalable environments.
Candidates should possess solid Software Development experience (e.g., Python, Bash, or other scripting languages) to build automation, tooling, and integrations.
Candidates should possess hands-on Continuous Integration skills (e.g., Jenkins, GitLab CI, GitHub Actions, or similar) for setting up and maintaining build and deployment pipelines.
Candidates should possess System Administration and Linux skills for configuring, securing, and optimizing servers and containers in production and staging environments.
Experience with cloud platforms (such as AWS, Azure, or GCP) and containerization/orchestration (Docker, Kubernetes) is highly beneficial.
Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, ELK, or similar) and a strong focus on reliability and performance.
Ability to collaborate effectively in remote, cross-functional teams, with clear written and verbal communication skills.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Experience in analytics, BI platforms (Sisense or similar), or data engineering environments is a plus.

Work arrangement
Yes