Full-Time

Manager Infrastructure Services

Posted on 5/9/2026

DXC Technology

DXC Technology

10,001+ employees

Global IT services for enterprise modernization

No salary listed

Chennai, Tamil Nadu, India

In Person

Category
DevOps & Infrastructure (2)
,
Required Skills
PowerShell
Datadog
Bash
MLOps
Python
Grafana
UiPath
ETL
Data Engineering
A/B Testing
CloudFormation
Go
Prometheus
New Relic
Terraform
Ansible
Databricks
Requirements
  • 7+ years of experience in Site Reliability Engineering, DevOps, or similar infrastructure roles
  • 2+ years of management experience leading technical teams
  • Hands-on experience with observability tools such as Prometheus, Grafana, ELK Stack, Datadog, or New Relic
  • Proficiency in Infrastructure as Code (Terraform, CloudFormation, Ansible)
  • Strong scripting and automation skills (Python, Go, Bash, PowerShell)
  • Familiarity with Databricks platform administration, cluster management, and workflow orchestration
  • Knowledge of UiPath platform architecture, orchestrator management, and bot deployment strategies
  • Understanding of data pipeline monitoring, data quality validation, and ETL/ELT process reliability
  • Experience with ML model monitoring, A/B testing infrastructure, and feature store management
  • Proven track record of building and scaling high-performing engineering teams
  • Strong analytical and problem-solving skills with ability to troubleshoot complex distributed systems
  • Excellent communication skills with ability to present technical concepts to executive stakeholders
  • Experience driving cross-functional initiatives and influencing without direct authority
  • Demonstrated ability to balance operational excellence with strategic innovation
Responsibilities
  • Design and implement end-to-end observability pipelines spanning AI solutions, data processing workflows, and automation execution environments
  • Establish comprehensive monitoring strategies for AI model performance, drift detection, data quality, and service health across Databricks and UiPath platforms
  • Build real-time dashboards and alerting systems that provide actionable insights into system performance, resource utilization, and service reliability
  • Develop custom metrics and KPIs specific to AI/ML workloads, including model accuracy, latency, throughput, and resource consumption
  • Implement distributed tracing and logging solutions to enable rapid troubleshooting across complex AI and automation pipelines
  • Architect and deploy automated incident response systems that can detect, diagnose, and resolve common reliability issues without human intervention
  • Build intelligent event-triggered runbook automation
  • Implement chaos engineering practices to proactively identify and strengthen system weaknesses
  • Develop automated remediation workflows for infrastructure issues, service degradations, and capacity constraints
  • Create self-healing mechanisms for AI inference services, data pipeline failures, and automation workflow interruptions
  • Build, mentor, and lead a team of Site Reliability Engineers with expertise in AI/ML operations, data platforms, and automation technologies
  • Establish SRE best practices, standards, and processes tailored to AI and automation workloads
  • Foster a culture of reliability engineering, continuous improvement, and data-driven decision making
  • Conduct regular performance reviews, career development discussions, and technical skill assessments
  • Collaborate with engineering teams to embed reliability principles into the software development lifecycle
  • Ensure near zero downtime and optimal performance of AI solutions, Databricks analytics workloads, and UiPath automation processes
  • Design and implement disaster recovery and business continuity plans for critical AI and automation services
  • Optimize resource allocation and cost management across cloud infrastructure supporting AI, analytics, and automation workloads
  • Establish and maintain service level objectives (SLOs) and error budgets for all managed services
  • Drive capacity planning initiatives to support growing AI model deployment and automation scale requirements
  • Partner with AI/ML developers to integrate reliability considerations into AI solutions and deployment pipelines
  • Work closely with data engineering teams to ensure robust, monitored data flows within Databricks environments
  • Collaborate with automation developers to build resilient UiPath bot deployment and execution frameworks
  • Interface with security teams to implement observability solutions that maintain compliance and data protection standards

DXC Technology provides IT services to large enterprises, helping them manage and modernize mission-critical systems. It offers consulting, system integration, and managed services that are typically delivered under long-term contracts. The core offering is the Enterprise Technology Stack, which modernizes IT infrastructure, optimizes data architectures, and ensures security and scalability across public, private, and hybrid cloud environments. By applying this stack, DXC helps clients run reliable and scalable IT operations while migrating workloads to the cloud and strengthening data governance. The company differentiates itself with a global reach, a large Fortune 500 client base, and a track record of long-term partnerships, coupled with commitments to sustainability and corporate responsibility. The goal is to be a trusted partner that enables enterprises to operate, secure, and evolve their IT environments efficiently and effectively.

Company Size

10,001+

Company Stage

IPO

Headquarters

McLean, Virginia

Founded

2017

Simplify Jobs

Simplify's Take

What believers are saying

  • 10,000+ Amazon-certified professionals enable high-margin AI consulting revenue scaling.
  • Hogan-Euronet integration creates cross-sell opportunities in fintech and banking sectors.
  • Debt refinancing at 4.25% extends maturity profile, funding AI-native revenue streams.

What critics are saying

  • Organic revenue declined 6.9% annually over five years; Q1 2026 guidance misses estimates.
  • All three business segments declining; USPS contract losses to Palantir and IBM.
  • €650M notes at 4.25% raise annual interest costs by ~€24M, straining cash flows.

What makes DXC Technology unique

  • Enterprise-scale AI operationalization with 115,000 employees using Amazon Quick platform.
  • AMBER automotive platform reduces development time 50% and costs 30%.
  • Agentic Security Operations Center partnership with 7AI addresses emerging cybersecurity demand.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

Paid Holidays

Paid Vacation

Flexible Work Hours

Company News

Technology Decisions
Feb 11th, 2026
DXC deploys Amazon Quick across entire workforce

DXC deploys Amazon Quick across entire workforce. By Dylan Bushell-Embling Wednesday, 11 February, 2026 IT services and consulting company DXC Technology has completed an enterprise-wide deployment of agentic AI-powered digital workspace Amazon Quick. The platform has been deployed across DXC's global workforce of 115,000 employees operating across 70 countries, making it one of the largest enterprise rollouts of the solution to date. DXC plans to use the platform to improve the way its employees collaborate, access information and deliver work across a highly distributed enterprise. As part of the rollout, the company has introduced an AI advisor agent designed to provide employees with a single access point for AI-related knowledge and tools, which is now being used by more than 40,000 engineers. In addition to deploying the platform internally, DXC has launched a dedicated Amazon Quick Practice aimed at helping enterprises deploy AI more quickly and efficiently. The practice consists of more than 10,000 Amazon-certified professionals, including over 1000 trained and certified across Amazon AI specialisations. Cross-functional teams of AI architects, automation designers and adoption leads will work with customers to identify high-impact use cases and rapidly deploy AI capabilities. The practice is designed to scale with enterprise needs and support co-investment with Amazon in targeted industry solutions for sectors such as financial services, insurance and manufacturing. DXC Chief Digital Innovation Officer Russell Jukes said deploying Amazon Quick internally gave the company the opportunity to pressure-test the solution at enterprise scale. "We've seen firsthand how AI, when connected to the way people work and the processes they rely on, can reduce friction, improve decision-making, and help teams operate more effectively with the right guardrails in place," he said. "That experience now directly informs how we help our customers move beyond pilots and activate AI across their enterprises." DXC President of Consulting and Engineering Services Ramnath Venkataraman added that the collaboration with Amazon on the consulting practice represents "a launch pad for AI-powered enterprise transformation, with a focus on making AI practical, scalable and embedded into day-to-day operations, not just another tool sitting on the sidelines". Image credit: iStock.com/MF3d Cybersecurity company Sophos has acquired UK-based Arco Cyber to augment its Sophos CISO... Logicalis Australia's new TAS unit will provide consulting-led services aimed at helping... Snowflake and OpenAI have agreed to collaborate to provide advanced AI model capabilities for...

Yahoo Finance
Jan 30th, 2026
DXC Technology reports Q3 revenue of $3.2B, down 4.3% as AI transformation progresses

DXC Technology reported third-quarter revenue of $3.2 billion, declining 4.3% year-over-year, though adjusted EBIT margin of 8.2% and non-GAAP earnings per share of $0.96 both exceeded guidance. The company generated $266 million in free cash flow for the quarter and $603 million year-to-date. The IT services firm reduced total debt by $465 million to approximately $3.6 billion whilst increasing its cash balance by over $500 million to $1.7 billion. DXC repurchased $190 million in shares year-to-date. However, performance declined across all three business segments, with US markets particularly weak. The company expects fourth-quarter organic revenue to decline 4% to 5%. DXC is pursuing a dual-track strategy focusing on stabilising heritage businesses whilst building AI-native revenue streams, with full-year free cash flow guidance of approximately $650 million.

Yahoo Finance
Jan 29th, 2026
DXC Technology Q4 results meet revenue expectations but Q1 guidance misses by 1%

DXC Technology met Wall Street's revenue expectations in Q4 2025, reporting $3.19 billion in sales, flat year on year. However, its Q1 2026 revenue guidance of $3.18 billion came in 1% below analyst estimates. The IT services provider delivered a non-GAAP profit of $0.96 per share, beating consensus estimates by 16.2%. Adjusted EBITDA reached $477 million with a 14.9% margin. Management raised full-year adjusted EPS guidance to $3.15 at the midpoint. Despite solid profit margins and strong free cash flow generation, DXC's organic revenue fell 4.3% year on year. The company, formed from the 2017 merger of Computer Sciences Corporation and HP Enterprise's services business, continues facing demand challenges with revenue declining 6.9% annually over five years.

Yahoo Finance
Jan 23rd, 2026
DXC and Euronet partner to integrate core banking with Ren payments platform

DXC Technology and Euronet Worldwide have announced a global partnership to integrate DXC's Hogan core banking platform with Euronet's Ren payments platform. The integration aims to streamline issuing, revolving credit and payments operations for banks and fintech companies. The partnership connects an established core banking system with a modern payments engine, potentially simplifying product launches and back-office processes for financial institutions. However, analysts suggest the deal is unlikely to significantly impact Euronet's near-term performance unless it scales beyond Hogan's existing customer base. Euronet faces structural challenges including questions around European ATM operations, remittance volumes and payments competition. Recent analyst downgrades and concerns about valuation have prompted investors to reassess the company's prospects, with fair value estimates ranging between $85 and $106.63 per share.

Yahoo Finance
Jan 20th, 2026
WEBTOON, Pitney Bowes, IBM, DXC and First Advantage fall as US-EU trade tensions spike

Several stocks fell following escalating geopolitical tensions between the US and European Union, centred on Greenland, which sparked fears of a renewed trade war. The VIX jumped to a fresh eight-week high as investors adopted a risk-off approach. WEBTOON declined 1.8%, Pitney Bowes dropped 3.3%, IBM fell 3.2%, DXC decreased 1.8%, and First Advantage slumped 4%. Mega-cap technology stocks with significant international operations were particularly affected as potential trade disruptions threaten global business models and supply chains. First Advantage's shares have shown high volatility over the past year with 16 moves exceeding 5%. Three months ago, the stock gained 9.8% after beating third-quarter revenue expectations with $409.2 million and raising full-year 2025 guidance.