DevOps Engineer for designing and maintaining Azure - based hybrid cloud infrastructure for a company specializing in nature - based smart city solutions. Leading cloud architecture and mentoring engineers as part of a high - impact team.
About the role
- Forward Deployment Engineer implementing and integrating TENEX’s AI-driven security solutions for clients. Collaborating with customer success teams to ensure technical delivery and optimization.
Responsibilities
- Work directly with customers to implement and integrate TENEX’s security solutions within their environments.
- Lead and support the deployment of data shipping technologies, ensuring proper configuration and troubleshooting.
- Develop, test, and maintain Logstash pipelines and Grok patterns to ensure reliable parsing of security logs.
- Provide hands-on technical support and troubleshooting to ensure smooth deployment and operation.
- Collaborate with Security Operations and Engineering teams to tailor solutions to customer needs.
- Demonstrated experience across disciplines including data ingestion, normalization, modeling and automations to create key deliverables including playbooks, dashboards, reporting, etc.
- Develop automation scripts, integrations, and other configurations to enhance deployment efficiency.
- Design, build, and maintain custom data parsers to transform raw security logs and data from various customer systems (e.g., SIEMs, cloud platforms, threat intelligence feeds, etc) into a normalized format for our platform.
- Conduct technical onboarding sessions and training for new customers.
- Act as a technical advisor ensuring customers maximize the value of TENEX’s offerings.
- Continuously assess environments and recommend improvements to optimize security posture.
- Assist in documenting best practices, deployment guides, and technical playbooks.
Requirements
- 3+ years of experience in cybersecurity, cloud engineering, DevOps, or a similar field.
- Demonstrated basic experience across disciplines including data ingestion, normalization, modeling and automations to create key deliverables including playbooks, dashboards, reporting, etc.
- Strong understanding of security technologies such as SIEM, EDR, SOAR, and cloud security.
- Proficiency with Google SecOps and Logstash.
- Direct experience with data pipeline technologies such as OTEL, Bindplane, Cribl, Databahn, and Abstract.
- Experience with scripting and automation (Python, Bash, Terraform, Ansible, or similar).
- Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Familiarity with networking, security operations, and incident response workflows.
- Strong problem-solving and troubleshooting skills.
- Excellent customer-facing communication and collaboration abilities.
- Ability to work in a fast-paced, high-performance environment.
- Passion for cybersecurity, automation, and customer success.
- Bachelor’s degree in Computer Science, Cybersecurity, Engineering, or a related field (or equivalent experience).
- Relevant certifications such as AWS Certified Solutions Architect, GCP Professional Cloud Engineer, or CISSP are a plus.
Benefits
- Competitive salary
- A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
SRE responsible for ensuring reliability and performance of IT systems at a digital transformation company specializing in public sector efficiency. Collaborating on system health, incident response, and automation tasks.
DevOps Senior role at Beyond Soluções managing CI/CD for .NET and Kubernetes applications. Collaborating on cloud solutions while fostering a culture of innovation and quality.
Senior Software Engineer at PayPal managing cloud infrastructure and DevOps solutions. Delivering complete SDLC solutions and guiding engineering teams for scalable and reliable services.
Senior Site Reliability Engineer at Diligent leading reliability, automation, and observability across cloud infrastructure. Build tools for incident response and enhance performance in fast - paced environments.
Perception Deployment Engineer deploying deep learning models on embedded systems at Caterpillar. Collaborating with cross - functional teams for integration and optimization of perception modules in vehicles.
Principal Site Reliability Engineer at AT&T required to design scalable solutions for critical operations with minimal downtime. Collaborating with teams to monitor and improve system performance in cloud environments.
DevOps Engineer managing AI SaaS infrastructure at a high - growth European company. Supporting AI model deployment and ensuring platform security and compliance with multiple systems integration.
Engineering Manager leading teams for observability platforms at LexisNexis. Owns operational excellence across software delivery lifecycle in Raleigh, NC.
Reliability Engineer optimizing site facility infrastructure and utility systems at Roche. Conducting root cause analyses and developing maintenance plans to enhance reliability and efficiency.