Custom Software Engineer at Accenture

Jaipur, Rajasthan, India

Accenture Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Software DevelopmentIndustries

Requirements

  • Minimum 2 years of experience (overall 5 to 12 years in full-stack development, with at least 2 years in a lead developer or junior architect role focusing on application-heavy systems)
  • 15 years full-time education
  • Demonstrated experience building and deploying solutions in multi-cloud environments (AWS, Azure, Google Cloud)
  • Strong proficiency in Java Spring Boot and Python for backend development
  • Hands-on experience with front-end frameworks like React, Angular, or similar
  • Basic exposure to AI/ML integration (e.g., cloud AI services like Clause AI, Azure Open AI, Amazon Queue, or simple ML frameworks like TensorFlow or PyTorch)
  • Practical experience with integration patterns (e.g., REST APIs, GraphQL, Kafka, message queues) and microservices architecture
  • Familiarity with infrastructure tools like Docker, Kubernetes, and IaC (e.g., Terraform, Bicep)
  • Experience with cloud-native services
  • Working knowledge of DevOps practices, including CI/CD pipelines

Responsibilities

  • Hands-On Coding: Actively develop, test, and deploy application-heavy solutions, write clean, efficient code in Java Spring Boot, Python for backend systems, and contribute to front-end development using React or Angular
  • Solution Design: Partner with senior architects to design scalable, cloud-native application architectures, focusing on performance, maintainability, and integration in multi-cloud environments
  • Integration Development: Build and maintain integrations using APIs, microservices, and event-driven patterns (e.g., REST, GraphQL, Kafka, or message queues)
  • Multi-Cloud Implementation: Develop and deploy applications across AWS, Azure, and Google Cloud, ensuring portability and optimization for cost and performance
  • AI Integration: Implement practical AI features (e.g., automation, basic analytics) using cloud-based AI services or frameworks like TensorFlow or PyTorch
  • Infrastructure Support: Collaborate with DevOps teams to implement containerized solutions (Docker, Kubernetes) and CI/CD pipelines, with hands-on use of IaC tools like Terraform or Bicep
  • Performance & Security Optimization: Ensure applications meet performance and security standards through code reviews, testing, and adherence to best practices
  • Team Collaboration: Work closely with developers, product managers, and infrastructure teams to translate requirements into technical implementations, providing hands-on support and mentorship
  • Continuous Learning: Stay updated on full-stack development trends, cloud technologies, and AI advancements to contribute to innovative solutions

Skills

Java
Spring Boot
Python
React
Angular
AWS
Azure
Google Cloud
Full Stack Development
Microservices
APIs
Agile
Cloud-Native

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters
1989Year Founded
$8.5MTotal Funding
IPOCompany Stage
Consulting, Enterprise Software, CybersecurityIndustries
10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.
Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.
The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.
The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.
Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.
The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.
Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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