Software Development Engineer at Accenture

Hyderabad, Telangana, India

Accenture Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, SoftwareIndustries

Requirements

  • Minimum 3 years of experience (8+ years preferred in software development and testing, with at least 3 years in Cloud Native SaaS applications)
  • 15 years full-time education; Master’s degree (preferred) or bachelor’s degree in computer science, engineering, or related field (or equivalent experience)
  • Must have: Java Full Stack Development
  • Good to have: Machine Learning, AI/ML initiatives or certifications, front-end technologies (React, Angular), platform experience
  • Experience in object-oriented/modern languages (C#, Java, Go etc.)
  • Understanding of software design patterns
  • Proficient in RESTful API, Open API design and development, and database technologies (RDBMS, NoSQL)
  • Proficiency with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, CloudFormation, Helm etc.)
  • Hands-on experience with event-driven architecture (e.g., Kafka, Pulsar, SNS/SQS)
  • Experience in designing and implementing scalable test automation strategies using frameworks/tools like Playwright, Cypress, Selenium, TestNG, integrated into CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins) and cloud-based testing platforms
  • Experience with major cloud providers (AWS, Azure, GCP)
  • Experience designing and delivering AI solutions using modern practices and cloud technologies, focusing on Generative AI and Large Language Models (LLMs)
  • Understanding of security best practices

Responsibilities

  • Analyze, design, code, and test multiple components of application code across clients; perform maintenance, enhancements, and development work
  • Adopt engineering best practices on architecture and technology choices; lead and mentor junior engineers; guide technical design and architecture discussions; identify design pattern needs
  • Execute AI integration across product suite, including Generative AI, NLP, and predictive analytics
  • Design, code (hands-on), and maintain software solutions using object-oriented or modern languages (C#, Java, Go etc.), including proactive monitoring and troubleshooting
  • Create test scenarios; design, develop, and execute automated tests
  • Work with cloud infrastructure (AWS, Azure, GCP) and Infrastructure as Code (Terraform, CloudFormation, Helm etc.)
  • Collaborate in global cross-functional teams with product management and architecture
  • Conduct code reviews to ensure code quality, performance, maintainability, and mentoring
  • Champion continuous improvement: drive engineering excellence, conduct root cause analyses, implement feedback loops to enhance code quality, team productivity, and system reliability

Skills

Java
Full Stack Development
Machine Learning
C#
Go
AWS
Azure
GCP
Terraform
Generative AI
NLP
Infrastructure as Code

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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