responsibilities of the engineer include

- infrastructure identification & cataloguing
- resource discovery: identify and catalogue residual nas file shares, cpu allocations, and object storage linked to decommissioned applications.
- data analysis: analyse data in excel and internal tools to identify decommissioning candidates and measure outcomes.
- stakeholder engagement: engage application owners to notify them of remaining infrastructure and secure formal approval for deletion.
- execution
- change management: raise and manage change requests for approved decommissioning actions.
- coordination: work with storage, compute, and platform teams to execute permanent infrastructure removal.
- tracking & reporting: track progress, escalations, and blockers via jira - maintain clean boards and accurate status at all times.
- stakeholder communication: produce and distribute structured notifications, reports, and dashboards to stakeholders and senior leadership.
- process improvement & automation
- rigor & follow-through: a rigorous approach to operational excellence is required. Engineers must proactively follow up on outstanding approvals, escape delays per sla with clear professional communication.
- process improvement: continuously improve processes, templates, and automation to increase decommissioning throughput.
- cross-functional collaboration: engineer will also need to work with cross-functional infrastructure and platform teams and must have an aptitude for learning new workflows and tooling as necessary.

technical skills

- basic qualifications
- education: bachelor's or masters in computer science, applied mathematics, engineering, or a related quantitative field.
- experience: 3-5 years of professional experience in infrastructure management, technology project delivery and/or enterprise-scale environments involving large number business critical applications.
- languages: unix/linux shell scripting, basic proficiency in python (scripting,



automation, data manipulation).
- methodology: familiarity with change management processes in regulated financial industries.
- core infrastructure competencies: candidates must demonstrate a solid understanding of the

following

- nas / file storage: understanding of mounts, shares, volumes, quotas, and lifecycle management.
- cpu / compute infrastructure: familiarity with on-prem capacity management and decommissioning procedures.
- object storage: awareness of cloud/on-prem object stores and data retention policies.
- development environments: working knowledge of ides such as vs code, intellij idea, and pycharm.
- ai & automation tools: familiarity with ai engines and assistants (e.g., github copilot, chatgpt, gemini) to accelerate operational tasks and reporting.

technical stack requirements

category technologies

- project & workflow management jira (boards, epics, stories, sprints)
- data analysis & reporting excel (pivot tables, vlookup, conditional formatting), dashboards
- scripting & automation python, powershell, bash
- development environments familiarity with vs code, intellij idea, pycharm
- ai engines familiarity with github copilot, chatgpt, gemini, claude
- infrastructure nas, on-prem compute, object storage platforms

core competencies

- acts as a trusted team player who collaborates effectively across multiple teams and functions.
- communicates with clarity and confidence — concise written updates, structured verbal briefings, and proactive stakeholder management.
- works effectively with general teams across time zones and cultures; builds alignment and resolves issues constructively.
- delivery-focused with a strong sense of ownership; drives work to closure and meets commitments.
- brings high energy and urgency to achieve targets while maintaining quality and professionalism.
- shows intellectual curiosity; asks thoughtful questions, surfaces risks early, and seeks feedback to continuously improve.

#j-18808-ljbffr

📌 Application infra management engineer (Ciudad de México)
🏢 Cognizant
📍 Ciudad de México