AWS BAU Engineer

Cognizant; Greater London; On-site; GBP 75,000 - 105,000; Full time

Job summary

Cognizant is seeking a BAU Engineer with a strong automation and AI mindset to join our AWS BAU team in the United Kingdom. You will own day-to-day operations, monitor systems, resolve incidents, and drive automation initiatives across the cloud estate.

The role demands hands-on experience with Linux, AWS services, ITIL processes, and scripting, plus a proactive approach to reduce MTTR and move operations toward self-healing services.

Qualifications

• Proven BAU / IT Operations experience in a cloud environment.
• Strong hands-on knowledge of AWS services (EC2, VPC, ELB, RDS, S3, IAM, Lambda, etc.).
• ItIL-aligned incident/change/problem management experience.
• Automation skills using Ansible and scripting (Bash / Python / PowerShell).
• Experience with monitoring/observability tools (Datadog).
• Familiarity with container platforms (Docker) and infra as code tools (Terraform).
• Experience with CI/CD tooling (GitHub Actions, Jenkins).
• Exposure to GenAI/AI in operations and incident analysis is a plus.

Responsibilities

• Own and execute day-to-day BAU operations, including system monitoring, incident resolution, patching, and routine maintenance.
• Troubleshoot issues across Linux servers, AWS infrastructure, applications, and networking layers.
• Ensure adherence to SLAs, ITIL 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.
• Collaborate with SRE, DevOps, Security, and Architecture teams to embed automation and AI into operational workflows.

Skills

BAU Operations

AWS Services

ITIL Processes

Scripting Bash/Python

Datadog Monitoring

Docker

Terraform

CI/CD / DevOps

GitHub Actions

Jenkins

GenAI in Ops

SC Clearance Eligible

On-Call Experience

Effective Communication

Tools

Ansible

Docker

Terraform

GitHub Actions

Jenkins

Datadog

AWS CloudWatch

RedHat Satellite

Job description

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.