Lead Infrastructure Engineer - Infrastructure (IBM Power/AIX) with AI/Automation
Role details
Job location
Tech stack
Job description
- Design and deliver tailored IBM Power infrastructure solutions by translating requirements into resilient architectures and validated implementations.
- Install, configure, test, tune, and support IBM Power environments with a focus on robustness, performance, and operational excellence.
- Drive continuous systems tuning and analysis, validate service performance, and ensure requirements are met through disciplined testing and evidence-based results.
- Lead and execute integration testing, complex troubleshooting, and POCs to evaluate new capabilities and methods for managing IBM Power infrastructure.
- Raise engineering standards through automation, repeatable runbooks, and improved observability; mentor engineers and collaborate across roles to deliver shared outcomes.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
- Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.
- Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes
- Executes creative solutions for the design, development, and technical troubleshooting for problems of moderate complexity
- Strongly considers upstream/downstream data and systems or technical implications and advises on mitigation actions
Requirements
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Deep knowledge of one or more areas of infrastructure engineering such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments
- Senior hands-on experience providing technical expertise across the lifecycle (design, implementation, delivery) with IBM Power hardware and related products.
- Deep expertise in - AIX operating system maintenance, PowerVM / VIOS, Power Firmware, and HMC maintenance, GPFS maintenance, Systems management agents/tools maintenance and testing
- Advanced knowledge of Unix shell scripting, Python, and Ansible automation.
- Familiarity with open-source development models and tools for bug tracking and source control.
- Working knowledge of security-related technologies including system lockdown, cyber protection, and authentication/entitlement/encryption.
- Strong critical thinking, problem-solving, communication, and technical writing/documentation skills, with strong quality assurance and system/performance testing experience.
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
- Ability to collaborate with different roles to achieve common goals; understanding of cloud, virtualization, APIs, and modern software languages., * Experience building AI-assisted automation in Python (e.g., incident triage helpers, log/alert summarization, remediation suggestions, change-risk signals).
- Familiarity with GenAI/LLM application patterns such as RAG (retrieval-augmented generation) over operational knowledge (runbooks, known errors, standards), prompt design, evaluation, and guardrails.
- Practical understanding of MLOps / productionization concepts for AI features (CI/CD, versioning, monitoring, safe rollback), especially in regulated or security-sensitive environments.
- Data/telemetry skills relevant to AIOps (parsing logs/metrics/traces, anomaly detection concepts, improving alert precision through feedback loops).
- Security-aware AI development practices (data minimization, access control, secure-by-design patterns for AI integrations).
Benefits & conditions
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.