Senior DevOps Engineer

About DataStealth DataStealth is a single, unified AI data security platform (DSP) that discovers, classifies, and protects sensitive data across your entire environment — from on-premise to legacy systems to cloud. Wherever your data lives or flows, we protect it using the latest technologies and AI. We do this without requiring complex integrations or changes to your existing applications, ensuring security that enables, rather than hinders, your business. By seamlessly applying data protection strategies such as tokenization, we ensure that even if your perimeter is breached, your data remains unusable if it falls into the wrong hands. Recognized for the fifth consecutive year as a Great Place to Work, we are one of the world's leading and fastest growing cybersecurity software companies. Our patented technology gives our large enterprise customers a paradigm-shifting way to solve the data security problems that legacy approaches cannot. About the Role We are looking for a skilled DevOps Engineer to join our team and help streamline software delivery, infrastructure management, and system reliability. You will work closely with the rest of our engineering, QA, and operations teams to build scalable, secure, and automated solutions that support our growing applications and services. Your expertise will be crucial in driving successful deployments, optimizing customer experiences, and accelerating development processes. Responsibilities Architect and maintain cloud infrastructure using Infrastructure as Code (Terraform) within multiple providers (AWS, Azure, or GCP) Design, build, and maintain CI/CD pipelines within Github and GitHub Actions. Automate infrastructure provisioning using tools like SaltStack or Terraform Build and optimize our system performance, reliability, and security using modern observability tools (Grafana, ELK, Zabbix, Greylog). Drive containerization and orchestration efforts Collaborate with engineers to optimize deployment processes and improve our architecture. Enforce security best practices and assist in audits or compliance initiatives. Regularly update and enhance DataStealth documentation for clarity, accuracy, and relevance. Qualifications Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). 5+ years of experience in DevOps, Site Reliability, or Systems Engineering roles. Required Skills Proficient in scripting (e.g., Bash, Python, or Go). Expert in Docker or others like Kaniko and containerd with orchestration platforms like Kubernetes or ECS. Knowledge in building tools for Java (Maven) and Javascript/TypeScrypt (npm/nx/chromatic) SonarQube integrations Libraries Vulnerabilities management Strong knowledge of version control systems, preferably Git. Deep hands on experience with cloud platforms (AWS, Azure, or GCP). In-depth understanding of networking, security best practices. Strong experience in Linux This posting is for an existing vacancy. We use artificial intelligence (AI) to screen, assess, and select applicants. DataStealth is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.

The role involves architecting and maintaining cloud infrastructure using Infrastructure as Code and designing CI/CD pipelines. The engineer will also optimize system performance and security through modern observability tools and containerization efforts.

Candidates must have a Bachelor's degree in Computer Science or a related field and over 5 years of experience in DevOps or SRE roles. Proficiency in scripting, container orchestration, and deep hands-on experience with major cloud platforms is required.

• Microsoft AzurePreferred
• KubernetesPreferred
• GoPreferred
• DockerPreferred
• Amazon Web ServicesPreferred
• LinuxPreferred
• Google CloudPreferred
• TerraformPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Terraform
• GitHub Actions
• SaltStack
• Grafana
• ELK Stack
• Zabbix
• Greylog
• Docker
• Kubernetes
• AWS
• Azure
• GCP
• Python
• Bash
• Go
• Linux

• Software
• Technology
• Security & Safety
• Engineering
• Data & Analytics

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Apply by

Sep 12, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available