🏢 Accenture
Application Support Engineer
💼 Fulltime
🎓 2025 Batch
📍 Pan India
⏰ Expired
🔗 Explore More
🛠 Skills Required
Python
NestJS
Microservices
REST APIs
AWS
GCP
Docker
Kubernetes
pgVector
OpenSearch
Milvus
PostgreSQL
LangChain
LangGraph
Generative AI
RAG pipelines
Incident Management
Troubleshooting
OWASP security
CI/CD
Git
🎤 Interview Experience
Accenture’s interview process typically starts with a timed online aptitude test, followed by a technical interview focused on Python coding, micro‑service design, and basic AI concepts. The final HR round evaluates cultural fit and communication skills. Candidates should practice time‑bound problem solving and be ready to discuss any AI projects or internships.
🏢 Work Culture
Accenture promotes a collaborative, learning‑first culture where employees are encouraged to experiment with emerging technologies. The firm offers structured career ladders, regular up‑skill workshops, and a balanced work‑life environment with flexible remote options.
📚 Free Study Materials (4)
Accenture Placement Papers – Practice Questions
A collection of previous placement papers that help you prepare for the aptitude and technical sections of Accenture's recruitment process.
Open Resource ↗
Accenture Interview Experiences on
Real candidate experiences and tips that give insight into the interview flow, difficulty level, and common questions for Application Support Engineer roles.
Open Resource ↗
Accenture Interview Guide
Comprehensive guide covering aptitude, technical, and HR rounds with sample questions and preparation strategies specific to Accenture.
Open Resource ↗
Problem Set – Coding Practice
Extensive library of coding problems to sharpen your Python and algorithmic skills, essential for the technical interview stage.
Open Resource ↗
✅ Eligibility Criteria
Minimum 15 years of full‑time education (10+2 + 4‑year degree). B.Tech / M.Tech / Equivalent in Computer Science, AI, Data Science or related streams. Minimum 0‑2 years of relevant experience. Academic performance of at least 60% aggregate in the qualifying degree. No active backlogs at the time of joining. Fresh graduates from the 2024‑2026 batch are encouraged to apply.
🏆 Selection Process
Round 1: Timed online aptitude test → Round 2: Technical interview covering Python coding, micro‑service design, AI concepts → Round 3: HR interview assessing cultural fit and communication skills
⛔
This job has expired
The application deadline was 31 Jul 2026. This listing is no longer accepting applications.
📋 About the Role
Accenture is a global professional services firm that combines deep industry expertise with cutting‑edge technology to help clients transform their businesses. With a presence in over 120 countries, Accenture invests heavily in innovation labs, AI research, and cloud platforms, enabling it to stay at the forefront of digital disruption. The company’s culture emphasizes continuous learning, collaboration across geographies, and a commitment to delivering measurable outcomes for its customers. For fresh graduates, Accenture offers structured onboarding programs, mentorship from senior technologists, and a clear career ladder that rewards both technical depth and leadership potential.
The role of Application Support Engineer at Accenture is designed for recent graduates who are eager to work on complex, multi‑component business applications. You will be the first line of defense for production incidents, diagnosing and resolving issues while ensuring minimal downtime for critical services. In addition to traditional support duties, the position involves building Generative AI‑powered solutions, designing Retrieval‑Augmented Generation (RAG) pipelines, and developing micro‑services that expose secure REST APIs. This blend of operational excellence and innovative development makes the role uniquely challenging and rewarding.
Key Responsibilities:
1. Diagnose, troubleshoot, and resolve incidents across multi‑component business applications.
2. Design and implement Generative AI solutions using LangChain and LangGraph.
3. Build and maintain RAG pipelines for enterprise knowledge bases, including document ingestion, embedding, and vector search.
4. Develop scalable micro‑services with NestJS and Python, exposing secure REST APIs.
5. Implement event‑driven integrations via webhooks and asynchronous messaging.
6. Create and manage vector databases (pgVector, OpenSearch, or Milvus) and metadata stores (PostgreSQL/AWS RDS).
7. Deploy applications on AWS or GCP, leveraging containerisation (Docker, Kubernetes) and managed services like AWS Bedrock.
8. Ensure API security following OWASP guidelines and embed observability, logging, and error‑handling best practices.
9. Translate functional requirements into technical designs, architecture diagrams (draw.io), and documentation.
10. Participate in code reviews, CI/CD pipelines, and knowledge‑sharing sessions within the team.
Tech Stack: Python, NestJS, Docker, Kubernetes, AWS, GCP, pgVector, OpenSearch, Milvus, PostgreSQL, LangChain, LangGraph, REST, OWASP security standards, CI/CD tools (Jenkins/GitHub Actions).
Growth Path: Starting as an Application Support Engineer, you can progress to Senior Engineer, Solution Architect, or AI Specialist within 2‑4 years, depending on performance and skill acquisition. Accenture’s internal mobility program encourages lateral moves into cloud, data, or consulting tracks, providing a broad horizon for career development.
Why Join Accenture? The company offers exposure to world‑class clients, hands‑on experience with emerging AI and cloud technologies, and a supportive ecosystem that values up‑skilling through certifications and workshops. Freshers benefit from a balanced work‑life environment, flexible remote options, and a reputation that enhances future employability.
⛔
This job has expired
The application deadline was 31 Jul 2026. This listing is no longer accepting applications.
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📋 Quick Info
JOB ID
C559-J026
POSTED
23 Jun 2026
TYPE
Fulltime
BATCH
2025
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