Infrastructure Performance Engineering Lead

Infosys

2d•$85,500 - $106,962

About The Position

Infosys Engineering focuses on product-centric value delivery through innovative engineering solutions, using data-first engineering and value-stream management, AI, ML, and predictive analytics to improve delivery and accelerate time to market. The Infrastructure Performance Engineering Lead role is assigned the job role of Technology Consultant 2. It contributes across the software development lifecycle, from requirements elicitation and design through coding, integration, testing, support, and documentation. The role requires expertise in infrastructure performance and capacity engineering across VMware ESX, distributed compute, container orchestration, cloud, and hybrid environments. It also supports resiliency and disaster recovery planning, capacity optimization, observability, and enterprise governance. The position may require relocation and/or travel to a work or project location. Infosys does not provide immigration sponsorship for this role; applicants must be authorized to work in the United States without employer-based visa sponsorship.

Requirements

Experience in capacity management, performance engineering, infrastructure engineering, or related technical fields.
Deep expertise with VMware ESX, distributed compute platforms, and container orchestration technologies such as Kubernetes or OpenShift.
Strong background in system design, infrastructure architecture, and high-availability engineering.
Proven experience with resiliency and disaster recovery capacity planning across multi-data-center environments.
Demonstrated experience in hardware reclamation, asset lifecycle planning, and capacity optimization.
Strong understanding of cloud capacity models, including AWS, Azure, and GCP, and hybrid cloud architectures.
Hands-on experience with performance telemetry, observability platforms, and capacity modeling tools.
Strong knowledge of ITIL Capacity & Performance Management and enterprise governance frameworks.
Ability to communicate complex technical findings to senior leadership.
Collaborative spirit and excellent communication skills; ability to work across the end-to-end SDLC, translate complex requirements into actionable development tasks, contribute design and hands-on coding, test and troubleshoot applications, and work with cross-functional teams on integration.
Bachelor’s degree or foreign equivalent from an accredited institution, or three years of progressive experience in the specialty in lieu of each year of education.
Authorization to work in the United States for any employer without employer-based visa sponsorship.

Nice To Haves

ITIL v4 certification.
Experience in large financial institutions or other regulated industries.
Familiarity with FinOps, cloud cost optimization, and chargeback/showback models.
Experience with automation frameworks for scaling, forecasting, reclamation, and performance monitoring.
Experience with PowerBI, Splunk, and Jira.

Responsibilities

Document assigned portions of business requirements as part of requirements elicitation.
Facilitate software application design discussions and document design decisions for the technical team.
Participate in coding and integrate features or updates into existing applications while maintaining system stability.
Conduct code reviews, make changes to the codebase, and maintain code repositories.
Implement test strategies, analyze results, and coordinate bug fixes to maintain software quality.
Develop user training programs, documentation, and support frameworks to help transition to new software applications.
Help resolve production issues and recommend preventive strategies to improve system reliability.
Maintain records of code, testing techniques, and support activities for the knowledge base and related projects.
Handle SDLC phases from requirements gathering through implementation, translate complex requirements into development tasks, and collaborate with cross-functional teams on software integration.
Perform capacity management, performance engineering, infrastructure engineering, resiliency and disaster recovery capacity planning, hardware reclamation, asset lifecycle planning, and capacity optimization.