Mulesoft Developer

Deloitte US-India Offices; Hyderabad, Pune District, Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Deloitte US-India Offices is seeking an Integration Engineer III - MuleSoft to design, build, and deploy enterprise-scale integration solutions. You will work with cross-functional teams to translate requirements into scalable APIs, using MuleSoft Anypoint Platform, DataWeave, REST, SOAP, and RAML, contributing across the delivery lifecycle.

You will lead technical reviews, ensure API security with OAuth/JWT, and support agile ceremonies with a focus on quality and delivery excellence.

Qualifications

• 6–10 years of MuleSoft Anypoint Platform API development and management
• Experience developing integrations using Anypoint Platform, DataWeave, and enterprise integration patterns
• Experience working with REST, SOAP, RAML, and Anypoint connectors and components
• Experience implementing API security, including OAuth and JSON Web Token (JWT)
• Experience with messaging technologies such as AMQ, ActiveMQ, Apache Kafka, or Java Message Service (JMS)
• Experience with exception handling, logging frameworks, MUnit, and CI/CD
• Salesforce Certified MuleSoft Developer certification and a relevant engineering degree

Responsibilities

• Collaborate with business analysts, functional teams, and client stakeholders to understand requirements
• Design and develop MuleSoft-based integration solutions aligned to architecture standards
• Build, test, and deploy APIs and integration services using Anypoint Platform, DataWeave, REST, SOAP, and RAML
• Lead technical reviews and guide team members through the development lifecycle
• Support agile delivery activities including sprint ceremonies, status reporting, and automation of routine tasks

Skills

MuleSoft Anypoint

API development

DataWeave

REST

SOAP

RAML

OAuth

JWT

CI/CD pipelines

Messaging (JMS)

Kafka

ActiveMQ

Education

Bachelor of Engineering/Technology

Master of Computer Applications/Science

Tools

Anypoint Platform

MUnit

ActiveMQ

Kafka

Job description

Artificial Intelligence & Engineering

AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These insights are powered by engineering for business advantage, helping transform mission-critical operations.

Join our AI & Engineering team to help transform technology platforms, driving innovation, and help make a significant impact on our clients' achievements. Youll work alongside talented professionals reimagining and re-engineering operations and processes that could be critical to businesses.

Level: Integration Engineer III

Join Deloitte’s AI & Engineering practice as an Integration Engineer III - MuleSoft and help design, build, and deploy enterprise-scale integration solutions that support business transformation. In this role, you will work with cross-functional teams to translate functional requirements into scalable APIs and integration services using MuleSoft Anypoint Platform. You will contribute across the delivery lifecycle, from design and development through deployment, quality, and delivery execution.

Work you'll do

As an Integration Engineer III - MuleSoft on the AI & Engineering team, you will be responsible for:

• Collaborating with business analysts, functional teams, and client stakeholders to understand requirements and assess integration impacts across enterprise systems
• Designing and developing MuleSoft-based integration solutions aligned to architecture standards, technical design requirements, and quality expectations
• Building, testing, and deploying APIs and integration services using Anypoint Platform, DataWeave, REST, SOAP, and RAML
• Leading technical reviews, resolving design ambiguities, and providing guidance to team members throughout the development lifecycle
• Supporting agile delivery activities, including sprint ceremonies, status reporting, deliverable tracking, and automation of routine development or operational tasks

The team

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client’s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Location:

Bengaluru/Hyderabad

Shift Timings:

11 AM to 8 PM or 2 PM to 11 PM

Qualifications

Required:

• 6-10 years of experience in MuleSoft Anypoint Platform API development and management
• Experience developing integrations using Anypoint Platform, DataWeave, and enterprise integration patterns
• Experience working with REST, SOAP, RAML, and Anypoint connectors and components
• Experience implementing API security, including OAuth and JSON Web Token (JWT), as well as API lifecycle management and API governance
• Experience with messaging technologies such as AMQ, ActiveMQ, Apache Kafka, or Java Message Service (JMS), and integrations with SAP, Salesforce, Workday, or Oracle
• Experience with exception handling, logging frameworks, MUnit, and continuous integration/continuous deployment (CI/CD) pipelines
• Salesforce Certified MuleSoft Developer certification and a Bachelor of Engineering, Bachelor of Technology, Master of Computer Applications, Master of Science in Computer Science, or equivalent degree

Preferred:

• Experience building automated CI/CD pipelines for integration programs
• Experience with monitoring tools used to track system health and issue resolution
• Experience with MuleSoft Composer for low-code integration development
• Experience developing JMeter scripts for load and performance testing
• Experience generating and managing TLS certificates and Java KeyStores for secure integrations
• Experience implementing event-driven integration patterns and secrets management tools