Test Automation Lead
About the job
- A minimum of 5 years of professional experience is required.
- A minimum of 5 years of experience with Micro Focus LoadRunner is required.
- Fifteen years of full-time education is required.
- Expertise in setting up and maintaining load and performance frameworks and continuous integration and continuous delivery pipelines for software development teams is required.
- Ability to design scalable and efficient test automation solutions tailored to specific project needs is required.
- Deep understanding of modern agile testing methodologies, processes, and strategies is required.
- Experience integrating test frameworks into existing software development environments is required.
- Comprehensive understanding of software development and delivery processes, including DevOps practices, is required.
- Strong Java development skills and excellent SQL knowledge are required.
- Proficiency with JMeter and Gatling is required.
- Experience with programming and scripting languages for automation and self-service tooling is required.
- Understanding of managing non-functional requirements in an agile context, including defining, documenting, and validating requirements for performance, scalability, and reliability, is required.
- Knowledge of Python and Shell for process automation and self-service tools is required.
- Ability to write and maintain scripts for testing, monitoring, and deployment automation is required.
- Understanding of Docker and Kubernetes is required.
- Knowledge of observability practices, including metrics collection, structured logging, and distributed tracing, is required.
- Experience with Grafana and Dynatrace for monitoring and analyzing system performance is required.
- Ability to collaborate with development and operations teams is required.
- Strong communication skills for collaboration with cross-functional teams and stakeholders are required.
- Strong problem-solving skills to identify, analyze, and resolve performance bottlenecks are required.
- Commitment to continuous improvement and staying current with load and performance testing trends is required.
- A passion for agile, lean, and DevOps practices is required.
- Lead the transformation of testing into a continuous and efficient end-to-end quality engineering function through quality processes, tools, and methodologies.
- Develop predictive and intelligent testing approaches based on automation and innovative testing products and solutions.
- Develop and enhance the existing open-source-based load and performance framework, including JMeter, Gatling, Grafana, Dynatrace, and continuous integration and continuous delivery pipelines.
- Integrate artificial intelligence-based solutions into the load and performance framework to improve testing efficiency and accuracy.
- Evaluate and incorporate new tools and technologies to keep the framework current and effective.
- Train and coach test automation engineers on load and performance test automation best practices.
- Develop training materials and conduct workshops on the tools and methodologies.
- Consult with agile development teams to identify and select load and performance testing solutions suited to their needs.
- Provide hands-on support for implementing and integrating load and performance solutions within the development lifecycle.
- Collaborate with developers, quality assurance engineers, and DevOps teams to support cohesive and efficient testing processes.
- Stay current with industry trends and advancements in load and performance testing.
- Java full stack development experience is desirable.
- Experience developing test automation strategies is desirable.
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
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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.
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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.