Software Engineer III AWS, Terraform, Python Observability Tools

• Design and implement comprehensive observability solutions to monitor and analyze the performance and health of cloud and on-premises infrastructure, applications, and services.
• Develop custom monitoring tools, dashboards, and alerts to proactively identify and resolve issues before they impact users.
• Collaborate with cross-functional teams to define key metrics, alerts, dashboard, service level objectives (SLOs), and service level indicators (SLIs) to measure the reliability and availability of our systems.
• Implement automated testing, deployment, and provisioning processes to accelerate software delivery and ensure consistency across environments.
• Work closely with DevOps and SRE teams to integrate observability tools and practices into the CI/CD pipeline and infrastructure-as-code (IaC) workflows.
• Continuously evaluate and adopt new technologies, tools, and best practices to improve observability and automation capabilities.
• Troubleshoot complex technical issues related to performance, scalability, and reliability, and provide timely resolutions.
• Document observability and automation solutions, procedures, and configurations to facilitate knowledge sharing and enable effective collaboration.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• 7+ years of experience as a DevOps Engineer, Site Reliability Engineer (SRE), or similar role with a focus on observability and automation.
• Hands-on experience with observability tools and technologies, including monitoring systems (eg, AWS Cloudwatch, AWS X-Ray, Prometheus, Grafana, Dynatrace), logging frameworks (eg, ELK stack, Splunk), and distributed tracing (eg, Jaeger, Zipkin).
• Proficiency in programming/scripting languages such as Python, Bash, or Go for automation and tool development.
• Experience with infrastructure automation tools such as Terraform, Ansible, or Chef for provisioning and configuration management.
• Solid understanding of containerization technologies (eg, Docker, Kubernetes) and microservices architectures.
• Strong proficiency in AWS and on-premises infrastructure.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously.

• Certifications in relevant areas such as AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or Certified Site Reliability Engineer (SRE).
• Experience with observability platforms and solutions like Datadog, Splunk, Dynatrace, or Apica.
• Familiarity with continuous integration/continuous deployment (CI/CD) pipelines and associated tools (eg, Jenkins, Spinnaker, GitHub ).
• Knowledge of modern software development practices, including Agile methodologies and DevOps principles.