Custom Software Engineer
About the job
- A minimum of 12 years of experience is required.
- 15 years of full-time education.
- A bachelor's degree in computer science, engineering, or a related field.
- Five to 12 years of hands-on full-stack development experience, including at least two years in a lead developer or junior architect role focused on application-heavy systems.
- Experience building and deploying solutions in multi-cloud environments using AWS, Azure, and Google Cloud.
- Strong proficiency in .NET and Python for backend development.
- Hands-on experience with front-end frameworks such as React or Angular.
- Basic exposure to AI or machine learning integration using cloud AI services or machine learning frameworks.
- Practical experience with REST APIs, message queues, and microservices architecture.
- Familiarity with Docker, Kubernetes, and infrastructure-as-code tools such as Terraform or Bicep.
- Experience with cloud-native services such as Azure Functions, Logic Apps, and Service Bus.
- Working knowledge of DevOps practices, including continuous integration and continuous delivery pipelines and monitoring tools.
- Understanding of secure coding practices and basic enterprise security standards, including identity and access management and encryption.
- Strong debugging and problem-solving skills.
- Clear communication with technical and non-technical stakeholders.
- Ability to combine hands-on coding with architectural design contributions.
- Develop, test, and deploy application-heavy solutions using .NET Core, C#, ASP.NET, and Python for backend systems, while contributing to front-end development using React or Angular.
- Partner with senior architects to design scalable, cloud-native application architectures focused on performance, maintainability, and integration in multi-cloud environments.
- Build and maintain integrations using APIs, microservices, and event-driven patterns such as REST, GraphQL, Kafka, and message queues.
- Develop and deploy applications across AWS, Azure, and Google Cloud, ensuring portability and optimization for cost and performance.
- Implement practical AI features, including automation and basic analytics, using cloud-based AI services or frameworks such as TensorFlow and PyTorch.
- Collaborate with DevOps teams to implement containerized solutions using Docker and Kubernetes and continuous integration and continuous delivery pipelines with infrastructure-as-code tools such as Terraform or Bicep.
- Ensure applications meet performance and security standards through code reviews, testing, and adherence to best practices.
- Work closely with developers, product managers, and infrastructure teams to translate requirements into technical implementations, providing hands-on support and mentorship.
- Stay current on full-stack development trends, cloud technologies, and AI advancements.
- Certifications such as Azure Developer Associate, Azure AI Fundamentals, or similar certifications.
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.