Responsibilities of the Engineer include:
1. Infrastructure Identification & Cataloguing
a. Resource Discovery: Identify and catalogue residual NAS file shares, CPU allocations, and object storage
linked to decommissioned applications.
b. Data Analysis: Analyse data in Excel and internal tools to identify decommissioning candidates and
measure outcomes.
c. Stakeholder Engagement: Engage application owners to notify them of remaining infrastructure and
secure formal approval for deletion.
2. Execution
a. Change Management: Raise and manage Change Requests for approved decommissioning actions.
b. Coordination: Work with Storage, Compute, and Platform teams to execute permanent infrastructure
removal.
c. Tracking & Reporting: Track progress, escalations, and blockers via Jira — maintain clean boards and
accurate status at all times.
d. Stakeholder Communication: Produce and distribute structured notifications, reports, and dashboards to
stakeholders and senior leadership.
3. Process Improvement & Automation
a. Rigor & Follow-Through: A rigorous approach to operational excellence is required. Engineers must
proactively follow up on outstanding approvals, escalate delays per SLA with clear professional
communication.
b. Process Improvement: Continuously improve processes, templates, and automation to increase
decommissioning throughput.
c. 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:
1. Basic Qualifications
a. Education: Bachelor’s or Masters in Computer Science, Applied Mathematics, Engineering, or a related
quantitative field.
b. Experience: 3–5 years of professional experience in infrastructure management, technology project
delivery and/or enterprise-scale environments involving large number business critical applications.
c. Languages: Unix/Linux Shell Scripting, Basic proficiency in Python (scripting, automation, data
manipulation).
d. Methodology: Familiarity with change management processes in regulated financial industries.
2. Core Infrastructure Competencies: Candidates must demonstrate a solid understanding of the
following:
a. NAS / File Storage: Understanding of mounts, shares, volumes, quotas, and lifecycle management.
b. CPU / Compute Infrastructure: Familiarity with on-prem capacity management and decommissioning
procedures.
c. Object Storage: Awareness of cloud/on-prem object stores and data retention policies.
d. Development Environments: Working knowledge of IDEs such as VS Code, IntelliJ IDEA, and PyCharm.
e. 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:
1. Acts as a trusted team player who collaborates effectively across multiple teams and functions.
2. Communicates with clarity and confidence — concise written updates, structured verbal briefings, and proactive
stakeholder management.
3. Works effectively with global teams across time zones and cultures; builds alignment and resolves issues
constructively.
4. Delivery-focused with a strong sense of ownership; drives work to closure and meets commitments.
5. Brings high energy and urgency to achieve targets while maintaining quality and professionalism.
6. Shows intellectual curiosity; asks thoughtful questions, surfaces risks early, and seeks feedback to continuously
improve.
Über Cognizant
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.
Zusätzliche Informationen zur Beschäftigung
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