AWS BAU Engineer

We are looking for a Business-as-Usual (BAU) Engineer with a strong automation and AI mindset to join our AWS BAU team. This role is critical to ensuring stable day-to-day operations while leading the adoption of AI-driven automation and operational intelligence across our cloud estate.

The successful candidate will combine hands-on BAU operational expertise with the ability to identify, design, and deliver automation opportunities using AI, scripting, and cloud-native tooling, helping the team move from reactive operations to proactive, self-healing services.

Key Responsibilities

BAU & Operational Excellence

• Own and execute day-to-day BAU operations, including system monitoring, incident resolution, patching, and routine maintenance.
• Troubleshoot and resolve issues across Linux servers, AWS infrastructure, applications, and networking layers.
• Ensure adherence to SLAs, ITSM processes (Incident, Change, Problem), and operational controls.
• Perform root cause analysis (RCA) and implement long-term corrective and preventive actions.
• Support scheduled maintenance, upgrades, certificate renewals, and capacity planning.
• Maintain high-quality documentation, runbooks, SOPs, and knowledge articles.
• Lead the automation journey within BAU, identifying repetitive, error-prone, or manual processes suitable for automation.
• Design and implement automation solutions using scripting, Ansible, AWS services, and AI-assisted tooling.
• Leverage AI/ML and GenAI capabilities (e.g., AWS Bedrock, Lambda-based automation, AI-driven alert enrichment) to:
• Improve incident triage and diagnostics
• Reduce MTTR

Enhance monitoring and alert intelligence

• Partner with SRE, DevOps, Security, and Architecture teams to embed automation and AI into operational workflows.
• Champion a “shift-left” and “automate-first” mindset across BAU activities.
• Measure and report on automation outcomes (time saved, incidents reduced, operational efficiency).

Monitoring, Security & Compliance

• Monitor the estate using Datadog and AWS CloudWatch, proactively responding to alerts and trends.
• Manage SSL certificate lifecycle and renewals.
• Execute patch management using tools such as RedHat Satellite and Ansible.
• Support security operations, vulnerability remediation, and compliance requirements.

Skills & Qualifications (Required)

• Proven experience in BAU / IT Operations / Cloud Operations roles.
• Solid hands-on knowledge of AWS services including:
• EC2, VPC, ELB, RDS, ECS, EFS, EMR, S3, IAM, Lambda, CloudTrail, Config, EBS
• Experience with ITIL processes (Incident, Change, Problem Management).
• Strong automation skills using Ansible, scripting (Bash / Python / PowerShell).
• Experience working with monitoring and observability tools (Datadog preferred).
• Ability to communicate technical issues clearly to both technical and non-technical stakeholders.
• Proactive mindset with a passion for continuous improvement and automation.
• Must hold (or be eligible for) SC Clearance.
• Willingness to participate in on-call support (rotational).
• Hands-on experience with AI / GenAI initiatives in operations, such as:
• AI-assisted incident analysis
• Automated remediation
• Intelligent alerting or chatbot-based ops support
• Exposure to AWS Bedrock, Lambda-based automation, or event-driven architectures.
• Experience with SRE / DevOps practices and CI/CD pipelines.
• Knowledge of Docker / container platforms.
• Working knowledge of Terraform, GitHub Actions, Jenkins.

• Proven experience in BAU / IT Operations / Cloud Operations roles.
• Solid hands-on knowledge of AWS services including:
• EC2, VPC, ELB, RDS, ECS, EFS, EMR, S3, IAM, Lambda, CloudTrail, Config, EBS
• Experience with ITIL processes (Incident, Change, Problem Management).
• Strong automation skills using Ansible, scripting (Bash / Python / PowerShell).
• Experience working with monitoring and observability tools (Datadog preferred).
• Ability to communicate technical issues clearly to both technical and non-technical stakeholders.
• Proactive mindset with a passion for continuous improvement and automation.
• Must hold (or be eligible for) SC Clearance.
• Willingness to participate in on-call support (rotational).
• Hands-on experience with AI / GenAI initiatives in operations, such as:
• AI-assisted incident analysis
• Automated remediation
• Intelligent alerting or chatbot-based ops support
• Exposure to AWS Bedrock, Lambda-based automation, or event-driven architectures.
• Experience with SRE / DevOps practices and CI/CD pipelines.
• Knowledge of Docker / container platforms.
• Working knowledge of Terraform, GitHub Actions, Jenkins.