Senior Staff Engineer

Responsibilities:

• Use the best DevOps practices to optimize the software development process.

• System administration, design, construction and operation of container platforms (Kubernetes) as well as in container technologies (Docker etc.) and their management systems.

• Working experience of cloud-based monitoring, alerting, and observability solutions.

• Possession of a deep knowledge of developer workflows with Git

• Experience documenting processes, procedures, and best practices.

• Good on Troubleshooting and problem-solving skills.

• Network Fundamentals – Firewalls and ingress/egress Patterns

• Experience of security configuration Management, DevSecOps

• Regularly use Linux, CI/CD Tools (Pipelines, GitHub, GitHub Actions/Jenkins), Configuration

• Management/Infrastructure as Code tools such as CloudFormation, Terraform, Cloud technologies (VMware, AWS, Azure)

• Build Automation and deployment configuration. Enable Product Automation scripts to be run in CI, triage and debug environment, script-related failures regularly. Clearly document, defects/improvements observed.

• Design, development, integration, and deployment of CI/CD pipelines

• Collaborate closely with developers, project managers, and other teams to analyze requirements and resolve software issues.

• Ability to lead development of the infrastructure to improve quality and efficiency using open-source technologies (Elasticsearch, Grafana) and homegrown tools (React, Python)

Minimum Qualifications:

• Graduate/master's degree in computer science, Engineering, or related discipline

• 5 to 10 years of overall DevOps/Related experience

• Good written and verbal communication skills

• Ability to manage and prioritize multiple tasks while working both independently and within a team

• Knowledge of software test practices, software engineering, Cloud Technologies discipline

• Knowledge/Working experience with Static Code Analysis, License Check Tools, other Development Process Improvement Tools

Desired Qualifications

• Minimum 4 years of working experience in AWS, Kubernetes, Helm, Docker-related technologies.

• Providing visibility into cloud spending and usage across the organization.

• Generating and interpreting reports on cloud expenditure, resource utilization, and usage optimization.

• Network Fundamentals – AWS VPC, AWS VPN, Firewalls and ingress/egress Patterns

• Knowledge/Experience with embedded Linux and RTOS (e.g. ThreadX, FreeRTOS) development (preferably on ARM) based projects.

• Domain Knowledge on Cellular wireless and WiFi is an asset

• Knowledge of distributed systems, networking, AMQP/MQTT, Linux, cloud security and Python.