Devops Architect
About the job
- A minimum of 7.5 years of experience is required.
- Completion of 15 years of full-time education is required.
- Experience with cloud automation and DevOps is required.
- Strong problem-solving and debugging skills are required.
- The ability to collaborate with developers, quality assurance, and information technology teams is required.
- An understanding of Agile methodologies, including Scrum and Kanban, is required.
- The ability to work in a 24/7 environment is required.
- Assess, design, and engineer DevOps solutions in complex technology environments.
- Design and build DevOps technical solutions for cloud-native, cloud-enabled, and on-premises infrastructure supporting microservices or traditional application patterns.
- Design, develop, and maintain infrastructure automation using infrastructure as code principles and DevOps skills.
- Develop predictive automation using monitoring and observability tools.
- Build and maintain continuous integration and continuous delivery pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or CircleCI.
- Manage infrastructure as code using Terraform, CloudFormation, Ansible, Pulumi, and Crossplane.
- Deploy and monitor applications in cloud environments including Amazon Web Services, Azure, or Google Cloud Platform.
- Set up automated monitoring, logging, and alerting using Prometheus, Grafana, the ELK Stack, or Datadog.
- Enhance system reliability, security, and scalability through automation and best practices.
- Participate in code reviews and DevOps strategy discussions.
- Troubleshoot and resolve production issues with a focus on uptime and performance.
- Implement security best practices and assist with compliance standards.
- Mentor junior developers and contribute to improving development workflows.
- Familiarity with continuous integration and continuous delivery tools including Travis CI and Argo CD.
- Experience with configuration management tools including Chef, Puppet, Ansible, and SaltStack.
- Experience with monitoring and observability tools including Splunk, Datadog, and Prometheus.
- Experience with cloud platforms including Amazon Web Services, Azure, and Google Cloud Platform.
- Experience with compute and networking services including EC2, Lambda, VPC, load balancers, Route 53, DNS, and VPNs.
- Experience with storage and database services including S3, RDS, DynamoDB, PostgreSQL, MySQL, and MongoDB.
- Experience with containerization using Docker and Podman.
- Experience with container orchestration using Kubernetes, Helm, and OpenShift.
- Experience with Linux operating systems including Ubuntu, CentOS, and Alpine, Bash scripting, and basic Windows Server administration.
- Knowledge of networking fundamentals including TCP/IP, DNS, SSL/TLS, HTTP/HTTPS, VPNs, and firewalls.
- Knowledge of security and compliance technologies including IAM, secrets management, Vault, AWS Secrets Manager, SSH, encryption, and vulnerability scanning.
- Experience with application and system performance metrics, PagerDuty, Opsgenie, Slack integrations, ELK, and Fluentd.
- Experience with serverless architectures such as AWS Lambda and Azure Functions.
- Experience with GitOps tools including Flux and Argo CD.
- Experience with AIOps, observability automation, and SRE principles including service level indicators and service level objectives.
- Experience with multi-cloud monitoring, cloud cost optimization, cloud performance analysis, cloud-native troubleshooting, and cloud security observability.
- Experience with Azure Monitor, Azure Log Analytics, Azure Application Insights, AWS CloudWatch, AWS X-Ray, Google Cloud Operations Suite, Datadog Cloud Monitoring, and Dynatrace Cloud Automation.
- Experience with network flow analysis, packet analytics, WAN observability, software-defined wide area network monitoring, network performance management, and network anomaly detection.
- Experience with ThousandEyes, SolarWinds NPM, Cisco AppDynamics Network Monitoring, and Riverbed.
- Experience with SCOM, SolarWinds, Datadog Infrastructure Monitoring, Dynatrace Infrastructure, VMware Aria Operations, and Turbonomic.
About the company
Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.
Company Size
10,001+
Company Stage
IPO
Headquarters
Dublin, Ireland
Founded
1989
Get referred to Accenture
See people who can refer or advise you
Simplify's Take
What believers are saying
- Business demand grew: October 2026 results showed $74.2 billion annual revenue, up 5% in local currency.
- Eligible US employees buy discounted stock: Accenture's purchase plan sells shares at 15% below market price.
- Client relationships run deep: Accenture has worked with 195 of its top 200 customers for more than ten years.
What critics are saying
- Bookings are not guaranteed revenue: most Accenture contracts let clients cancel quickly with little or no penalty.
- Promotions require AI adoption: Accenture's CEO said in March 2026 that employees must use its tools effectively.
- Federal hiring practices proved costly: Accenture settled discrimination allegations for $25 million in September 2026, without a liability finding.
What makes Accenture unique
- Its AI platform switches models: AI Refinery selects among prebuilt models according to cost, performance and other requirements.
- Accenture owns specialist Microsoft expertise: it cofounded the Microsoft-focused Avanade consultancy with the software maker.
- Consulting includes creative agencies: Accenture Song owns businesses spanning advertising, digital product design and customer engagement.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Health Insurance
Professional Development Budget
401(k) Retirement Plan
401(k) Company Match
Company News
Accenture will hold an Investor Day on October 14, where it is expected to detail its long-term strategy, AI monetisation plans, growth guidance, and margin expansion goals. The event follows a rebound in its shares after fears that AI would erode traditional consulting work. The stock hit a low of $118.15 in June, down from a January high of $291.09. It has since gained nearly 77%, helped by fourth-quarter results on October 1 and an expanded collaboration with Dell Technologies. Fourth-quarter revenue rose 6% to $18.7 billion, and new bookings reached $22.2 billion. Accenture expects fiscal 2027 revenue growth of 3% to 6% in local currency. It raised its quarterly dividend by 5% to $1.71 per share, payable November 13, 2026. Its market capitalisation is about $139.6 billion.
Accenture has acquired Sagacity, a London-based data and customer intelligence firm, to strengthen Accenture Song's AI-powered customer services. The deal brings more than 140 professionals to Accenture Song's UK and Ireland operations. Terms were not disclosed. Founded in 2005 by Anita Dougall, Malka Townshend, and Harry Dougall, Sagacity offers data assets, AI-enabled technology, and customer intelligence expertise. Accenture says clients want to connect data, AI, and operations into unified programmes that deliver measurable results. The move targets industries with large customer bases, such as utilities, retail, banking, and telecommunications. "Sagacity's deep expertise and outcome-focused approach will enhance our ability to help clients turn insight into action," said Sohel Aziz, senior managing director of Accenture Song, UK and Ireland.
TM Forum has launched a multi-year Trustworthy AI programme with Accenture to help telecoms deploy autonomous operations with verifiable trust standards. The initiative will deliver the industry's first Trustworthy AI Governance Certification, providing a benchmark for trusted AI deployment. Recent TM Forum research found that whilst 72% of communications service providers believe their AI capabilities are trustworthy, only 14% can verify their claims. The programme aims to transform AI trust from aspiration into measurable operational capability. The certification will help organisations assess governance maturity, workforce readiness, and operational accountability needed to scale AI autonomously. It will operate through TM Forum's AI-Native Collaboration Studios, where telecoms operators, vendors, and partners will contribute real-world use cases to shape the framework.
Accenture reported revenue of nearly $74.2 billion for fiscal year 2026, up 6.5% year-over-year, with net income of roughly $8.5 billion. The professional services firm serves approximately 9,000 clients globally with 814,000 employees. Microsoft generated revenue of nearly $331.8 billion in FY 2026, a 17.8% increase, with net income of approximately $133.7 billion. The company's net margin reached close to 40.3%. Both companies maintained a debt-to-equity ratio of approximately 0.3x. Microsoft's free cash flow reached nearly $67.0 billion, whilst Accenture's was roughly $11.6 billion. Accenture recently addressed a $25 million settlement with the Department of Justice regarding federal contracting practices. Microsoft faces securities fraud class action lawsuits involving AI and Copilot claims, alongside antitrust scrutiny and an IRS tax audit.
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.