Cloud DevOps Lead
About the job
- 5–8 years of experience in cloud or infrastructure operations, including hands-on technical leadership of production support teams.
- Expertise in installing, configuring, patching, troubleshooting, and administering Linux and Windows systems.
- Strong experience operating services on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including compute, network, storage, identity, backup, and monitoring services.
- Strong knowledge of high availability, disaster recovery, capacity planning, performance tuning, security hardening, access controls, and cloud cost optimization.
- Hands-on experience with monitoring and observability platforms such as Prometheus, Grafana, Zabbix, CloudWatch, Azure Monitor, or equivalent tools.
- Experience administering and troubleshooting Java application servers such as JBoss, WebLogic, or Tomcat, including application, system, and garbage-collection log analysis.
- Practical experience with infrastructure-as-code and automation using Terraform, CloudFormation, Ansible, Python, PowerShell, Bash, or equivalent technologies.
- Working knowledge of containers and orchestration platforms such as Docker, Kubernetes, or OpenShift.
- Experience with logging and messaging platforms such as Elasticsearch, Logstash, Kibana, and Kafka.
- Good working knowledge of relational and NoSQL databases, including MySQL, Oracle, PostgreSQL, DynamoDB, MongoDB, Cassandra, or Redis.
- Strong understanding of IT service-management practices covering incident, problem, change, release, configuration, knowledge, and service-level management.
- Demonstrated ability to lead troubleshooting, make sound technical decisions under pressure, mentor engineers, conduct technical reviews, and manage escalations.
- Demonstrated client-facing consulting skills, including requirements discovery, facilitation of technical workshops and service reviews, management of expectations, and confident presentation of technical improvement proposals to client stakeholders.
- Experience developing automation solutions that improve operational efficiency, quality, and consistency.
- Ability to evaluate and adopt enterprise-approved artificial intelligence tools for cloud operations while following security, privacy, and responsible-artificial-intelligence standards.
- Experience with JIRA, Confluence, ServiceNow, or equivalent service-management and collaboration tools.
- Experience working in Agile, DevOps, and site reliability engineering environments.
- Lead day-to-day cloud operations and provide technical direction, task prioritization, coaching, and escalation support to the operations team.
- Build trusted client relationships through regular technical discussions, service reviews, and advisory sessions; understand business priorities and translate them into practical cloud and operational improvement opportunities.
- Develop and present evidence-based technical improvement proposals, including the current-state assessment, recommended solution, expected business and operational benefits, risks, effort, cost considerations, and implementation roadmap; incorporate client feedback and support decisions through execution.
- Own platform availability, reliability, performance, capacity, security, and operational readiness across on-premises and public-cloud environments.
- Lead major incident response, coordinate technical recovery, communicate status to stakeholders, and ensure timely root-cause analysis and preventive actions.
- Govern problem, change, release, service-request, and configuration-management activities in line with service-level agreements and operational controls.
- Review system architecture, deployment designs, operational procedures, and technical changes to ensure scalability, resilience, supportability, and compliance.
- Define and improve monitoring, alerting, logging, dashboards, runbooks, and service health indicators to enable proactive issue detection and resolution.
- Drive automation of provisioning, deployment, maintenance, recovery, and routine support activities using infrastructure-as-code and scripting practices.
- Analyze operational trends, recurring incidents, capacity risks, and service metrics; maintain an improvement backlog and track actions to closure.
- Partner with application, DevOps, cloud, network, database, security, and vendor teams to resolve cross-platform issues and deliver technical improvements.
- Maintain technical documentation, knowledge articles, disaster-recovery procedures, and audit evidence; conduct knowledge-sharing and readiness reviews.
- Support effort estimation, technical planning, resource coordination, and stakeholder reporting for operational and transformation initiatives.
- Participate in the on-call rotation and ensure effective shift handovers, escalation paths, and operational coverage.
- Relevant cloud, Linux, Kubernetes, information technology infrastructure library, or DevOps certifications are an advantage.
About the company
Accenture is a global professional services firm that helps companies navigate technology-driven change. It offers strategies and services across consulting, digital, technology, and operations, with a strong emphasis on cloud, artificial intelligence, security, and enterprise reinvention. Accenture works by delivering end-to-end solutions, combining advisory work with implementation, technology platforms, and managed services to transform how organizations operate and compete in today’s digital world. The company differentiates itself through its long history as a dedicated tech-advisory arm that gained independence in 2001, its scale, and its active acquisitions—particularly since 2013—to expand capabilities in digital, cloud, and security. Its goal is to help the world’s largest corporations rethink and reshape their operations to stay ahead of rapid technological shifts.
Company Size
10,001+
Company Stage
IPO
Headquarters
Dublin, Ireland
Founded
1989
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Simplify's Take
What believers are saying
- Fiscal 2026 revenue reached $74.18 billion, with bookings up 5% to $84.54 billion.
- Management guided fiscal 2027 revenue growth of 3% to 6% and $9.5 billion returns.
- Accenture added over 400 AI clients in fiscal 2026, expanding demand across enterprises.
What critics are saying
- Fiscal 2026 consulting revenue grew only 1% locally, exposing weak core demand.
- Accenture cut staff in a six-month 2026 optimization program costing $308 million.
- AI productivity threatens the labor-arbitrage model if clients buy fewer billable hours by 2027.
What makes Accenture unique
- Accenture and Google Cloud launched Horizon with Volvo Cars on September 22, 2026.
- Accenture Edge and AWS launched six mid-market offerings for $300 million-$3 billion companies.
- Accenture reached nearly 110,000 AI and data professionals after 46 million training hours in 2026.
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Benefits
Health Insurance
Professional Development Budget
401(k) Retirement Plan
401(k) Company Match
Company News
Accenture shares surged 17% on Thursday after reporting strong fourth-quarter results. The company posted revenue of $18.7 billion, up 6% year-over-year, while earnings per share jumped 46% to $3.29. Management's full-year revenue growth forecast of 4.5% exceeded analyst expectations of 4%. Net bookings rose 4% to $22.2 billion. The company plans to return at least $9.5 billion to shareholders this financial year. However, TD Cowen analyst Bryan Bergin maintained a hold rating, citing concerns that the stock is fully priced at 15 times forward earnings. He cautioned that one strong quarter may represent a cyclical bounce rather than structural growth acceleration. Despite this, Wall Street remains optimistic, with a "moderate buy" consensus rating. Accenture currently offers a 3.05% dividend yield.
Accenture shares surged 20% Thursday after the company reported better-than-expected fourth-quarter results and issued its fiscal 2027 outlook. Quarterly revenue rose 6% year-over-year to $18.7 billion, whilst GAAP diluted earnings increased 46% to $3.29 per share. New bookings reached $22.2 billion. For fiscal 2027, Accenture projects revenue growth of 3% to 6% in local currency, exceeding the 3.9% analyst consensus. The company expects GAAP diluted earnings of $14.39 to $14.81 per share and an operating margin of 15.9% to 16.1%. The positive forecast boosted competitors' shares. Cognizant Technology Solutions climbed 10%, Infosys gained 8%, and IBM rose 5% in morning trading. Accenture generated $2.8 billion in free cash flow during the quarter and returned $11.5 billion to shareholders in fiscal 2026.
Accenture has announced a new collaboration with Amazon Web Services to deliver cloud and AI offerings specifically for mid-sized companies generating between $300 million and $3 billion in annual revenue. The technology bundle, available through AWS Marketplace, includes tools for virtual machine migration, cloud spending optimisation, security strengthening, and AI system risk testing. The offerings fall under Accenture Edge, a dedicated business unit serving mid-market clients. The collaboration also provides conversational AI, virtual agents, and customer service technology. 407 ETR, a Toronto-area electronic toll highway operator, is cited as an early customer. Accenture shares rose 1.6% in premarket trading following the announcement. The stock currently trades around $180, having rebounded more than 50% from June lows but remaining well below its 52-week high of $291.09.
Accenture and Google Cloud have launched Horizon, an open-source software development platform for Android Automotive Operating System, with Volvo Cars as the lead industry partner. Volvo Cars is migrating its global AAOS software development environment to Horizon, which combines cloud-native development tools, virtual testing environments, and AI-assisted workflows. The platform offers up to 9x faster software testing using virtual Android Automotive environments and reduces infotainment feature development costs by up to 40%. It also significantly cuts software build times from up to two hours to minutes through intelligent caching and optimised build pipelines. Remote access to virtual and physical device farms allows developers worldwide to build and validate software from anywhere, whilst virtual workbenches speed up onboarding of new developers from weeks to seconds.
Accenture has completed the acquisition of Faculty, a leading UK‑based AI company known for its deep technical expertise and pedigree in applying AI safely across public and private sectors to help clients improve services and deliver growth.