Senior Systems Engineer II

Responsibilities:

• Define and enforce Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for critical systems, ensuring alignment with business goals.
• Monitor and improve MTTR (Mean Time to Recovery) and MTTD (Mean Time to Detect) across services to enhance operational resilience.
• Design scalable AWS-based systems, including multi-region deployments and disaster recovery strategies.
• Develop reusable, versioned Terraform modules and maintain scalable Ansible configurations.
• Design and maintain reliable CI/CD pipelines using tools like Harness.
• Build and optimise observability systems using Dynatrace and other platforms for proactive monitoring and root cause analysis.
• Lead incident response efforts, conduct root cause analysis, and implement process improvements.
• Implement security controls and ensure compliance with organisational standards.
• Conduct capacity planning and performance tuning for critical systems.
• Collaborate with application support teams and manage vendor relationships to ensure timely resolution of issues and adherence to SLAs.
• Mentor engineers, collaborate across teams, and influence reliability practices organisation-wide.

Requirements:

• Min experience required is 6+ years.
• Windows Administrator and Red Hat Linux.
• VMWare and ESXi Experience.
• Strong proficiency in Bash and PowerShell for production automation.
• Expertise in AWS services and scalable architecture design.
• Hands-on experience with Terraform and Ansible.
• Proficiency in pipeline design and release engineering.
• Experience with Splunk and Observability.
• Strong understanding of SLOs, SLIs, error budgets, and operational metrics like MTTR and MTTD.

Good to Have:

• Proven ability to lead and improve incident management processes.
• Ability to coordinate with third-party vendors for application support and issue resolution.
• Knowledge of security best practices and compliance frameworks.
• Strong leadership, mentoring, and cross-team collaboration abilities.

Preferred Qualifications:

• Experience with multi-account AWS architecture.
• Familiarity with automation and self-healing systems.
• Knowledge of performance modelling and long-term capacity forecasting.
• Certifications in AWS or SRE practices.
• Undergraduate degree or equivalent experience/certification.