Application Support Engineer at Accenture

Bengaluru, Karnataka, India

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

Requirements

  • Minimum 5 years of experience
  • 15 years full-time education
  • Amazon Web Services (AWS) (must-have skill)
  • Python (Programming Language) (good-to-have skill)
  • Data Engineering (good-to-have skill)
  • Python development with advanced async/await patterns, multiprocessing, and performance optimization
  • AWS Bedrock, Open Search, Vector Databases
  • REST API development with enterprise-grade error handling, rate limiting, and security
  • Database integration and optimization (PostgreSQL, MySQL, Oracle, SQL Server) including connection pooling and query optimization
  • Enterprise system APIs (SAP, Salesforce, Oracle, etc.) with robust integration patterns
  • Performance engineering including profiling, optimization, and load testing
  • Data serialization and validation (JSON, XML, Protocol Buffers, Pydantic)
  • Logging and monitoring frameworks (structured logging, metrics collection, alerting)
  • Version control and CI/CD (Git, Jenkins/GitHub Actions, automated testing)
  • Container deployment (Docker, Kubernetes) and cloud-native development
  • Distributed systems patterns (circuit breakers, retries, bulkhead isolation)
  • Security best practices including OWASP guidelines and secure coding practices
  • DevOps experience including infrastructure automation and deployment strategies
  • Message queuing systems (Redis, RabbitMQ, Kafka) for asynchronous processing
  • Enterprise compliance experience (audit logging, data governance)
  • High-concurrency system development with proven experience supporting concurrent users (1000+ users)
  • Snowflake optimization and advanced SQL performance tuning

Responsibilities

  • Implement AWS Bedrock with Vector Databases and Data source ingestions
  • Implement and optimize server endpoints and business logic for high-concurrency workloads (1000+ users)
  • Build enterprise system connectors with robust error handling, retry mechanisms, and circuit breakers
  • Develop performance optimization strategies including connection pooling, caching, and async processing
  • Create comprehensive automated testing frameworks including unit, integration, load, and chaos testing
  • Implement monitoring and observability for servers including metrics, logging, and distributed tracing
  • Design and implement data pipeline optimization for Snowflake and other enterprise data sources
  • Build deployment automation and CI/CD pipelines for MCP server components
  • Implement security controls including data encryption, secure API design, and vulnerability management
  • Develop troubleshooting and diagnostic tools for production support
  • Create documentation and runbooks for operations and maintenance

Skills

Key technologies and capabilities for this role

AWSAmazon BedrockVector DatabasesPythonData EngineeringServer EndpointsBusiness LogicError HandlingRetry MechanismsCircuit BreakersConnection PoolingCachingAsync ProcessingAutomated Testing

Questions & Answers

Common questions about this position

What are the must-have skills for this Application Support Engineer role?

The must-have skill is Amazon Web Services (AWS). Good to have skills include Python and Data Engineering.

What is the required experience level for this position?

Minimum 5 year(s) of experience is required.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What technical skills are highlighted in the professional skills section?

Key skills include Python development with advanced async/await patterns, AWS Bedrock, Open Search, Vector Databases, REST API development, and database integration.

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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