דרושים » מחשבים ורשתות » FinOps Engineer

Fire-Arc is an innovative, data-driven technology company that develops and publishes multi-platform digital assets. We are growing rapidly and looking for results-oriented people who want to create measurable business impact. As our DevOps Engineer, you will own and optimize our cloud infrastructure, automation, and production reliability in a fast-paced environment. What You’ll Do ?Design, implement, and maintain scalable, secure, and reliable cloud infrastructure, primarily on AWS, with exposure to GCP as an advantage. Build and maintain CI/CD pipelines to automate application deployments and infrastructure changes; CircleCI experience is preferred. Leverage Generative AI tools (e.g., GitHub Copilot, Cursor, Claude Code, or similar) to accelerate scripting, infrastructure automation, CI/CD configuration, and operational troubleshooting. Automate infrastructure provisioning and management using Infrastructure-as-Code (IaC), primarily Terraform and Terragrunt. Automate configuration management and system provisioning using Ansible. Collaborate with development teams to improve application performance, scalability, and reliability. Troubleshoot and resolve infrastructure, application, and network issues to maintain high availability and reliability. Ensure infrastructure adheres to security best practices and organizational standards. Configure and maintain networking components, including proxies, DNS, load balancers, VPNs, and cloud networking. Continuously evaluate and adopt technologies and practices that improve infrastructure reliability, efficiency, and cost-effectiveness. Implement and maintain monitoring, logging, and alerting solutions to proactively identify and resolve infrastructure and application issues.

Brand:
FireArc

Our software team is growing, and we are looking for an SRE-DevOps Engineer to be entrusted with designing, building, and maintaining the infrastructure and automation frameworks that power our development ecosystem.

Your role will encompass end-to-end CI/CD pipeline ownership, cloud and on-premise infrastructure management, and ensuring the reliability, scalability, and security of our systems. You will be the backbone that enables our engineering teams to ship fast and confidently. We value agility, so staying updated and adaptable to our evolving tech stack is inherent to the role.

Responsibilities
Design, build, and maintain CI/CD pipelines to streamline development, testing, and deployment workflows.
Automate infrastructure provisioning, configuration management, and scaling operations.
Collaborate closely with development and data teams to understand and support their infrastructure needs.
Monitor system health, reliability, and performance, and drive incident response and resolution.
Enforce security best practices across infrastructure, access management, and deployments.
Manage and optimize containerized workloads and orchestration platforms.
Maintain and improve observability frameworks including logging, monitoring, and alerting.
Evaluate and integrate new tools and technologies to continuously improve the development infrastructure.

A technology company developing a next-generation data acceleration platform is looking for an Infrastructure & Automation Engineer to be the first engineer in this area, building and maintaining the automation and infrastructure behind its core technology. This is a highly hands-on role with significant ownership and the opportunity to shape the foundations of the environment from the ground up.



Responsibilities:

Build robust automation frameworks for testing, validating, orchestrating, and releasing software.
Develop internal tools in Python to automate complex workflows, debugging, testing, and release processes.
Design and maintain CI/CD pipelines using GitHub Actions, ensuring every release meets high standards of correctness and performance.
Build monitoring and observability across distributed systems using Prometheus, Grafana, and CloudWatch.
Work hands-on with AWS and Kubernetes/EKS to build and operate scalable infrastructure.
Investigate complex system failures and performance issues across the application, container, cloud, and Linux layers.
Work closely with low-level systems and engineering teams, creating automated feedback loops that help drive system and hardware-level optimization.