Mphasis
Role description
Job Description
Java Backend Engineer - Agentic Worflows (Austin)
Job Summary -
We are seeking a highly skilled
Java Backend Engineer
with expertise in
agentic workflows
and
MCP (Model Context Protocol) service integration
to join our engineering team. The ideal candidate will design, develop, and optimize backend systems that power intelligent, autonomous agents and context-driven services. You will collaborate with cross-functional teams to architect scalable solutions that leverage cutting-edge AI workflows while maintaining reliability, performance, and security.
Location: Austin,TX
Years of experience needed -
7 + years of experience in Java Backend development exposure to Agentic workflows
Required skills: Bachelor's/master's degree in computer science, Engineering, or related field. 5+ years of backend engineering experience
with strong expertise in
Java (Java 11+) and Python . Proven experience with
agentic workflows
(autonomous task orchestration, tool use, context-driven execution). Hands-on with
MCP (Model Context Protocol)
service development and integration. Strong understanding of
microservices architecture , RESTful APIs, gRPC, and message queues (Kafka, RabbitMQ, etc.). Experience with
databases
(SQL & NoSQL) and caching solutions (Redis, Memcached). Familiarity with
cloud platforms
(AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Solid grasp of
concurrency, multithreading, and distributed systems design . Proficiency in CI/CD pipelines, testing frameworks (JUnit, Mockito), and code quality tools. Excellent problem-solving, debugging, and communication skills Responsibilities -
Design, develop, and maintain scalable
Java-based backend services
to support agentic workflows and AI-driven applications. Implement and optimize
MCP services
to enable seamless context sharing and dynamic orchestration between models, agents, and tools. Architect APIs, microservices, and event-driven systems that ensure high performance, reliability, and low-latency communication. Collaborate with data scientists, AI/ML engineers, and frontend developers to integrate agentic intelligence into production systems. Write clean, maintainable, and testable code while following best practices in software engineering. Monitor, troubleshoot, and optimize system performance, scalability, and fault-tolerance. Contribute to
workflow automation , context management, and intelligent decision-making systems. Stay up to date with emerging technologies in AI, distributed systems, and backend engineering Preferred Qualification:
Experience with
AI/ML infrastructure , LLM-based applications, or agent frameworks. Knowledge of
event sourcing, CQRS, and workflow engines
(e.g., Temporal, Camunda, Airflow). Contributions
to open-source projects
related to agentic systems or MCP. Understanding of
observability
(logging, tracing, metrics) in distributed systems. Behavioral Skills:
Excellent Communication skills and collaboration skills Ability to propose and implement improvements in the system Ability to work with cross-functional stakeholders
About Mphasis
Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis' Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis' Service Transformation approach helps 'shrink the core' through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis' core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.
Equal Opportunity Employer:
Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster , view the EEO in the law supplement . To view the pay transparency nondiscrimination provision please click and to view the E-Verify posting click .
Mphasis is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of disability to search and apply for a career opportunity, please send an email to accomodationrequest@mphasis.com and let us know your contact information and the nature of your request.
Job Description
Java Backend Engineer - Agentic Worflows (Austin)
Job Summary -
We are seeking a highly skilled
Java Backend Engineer
with expertise in
agentic workflows
and
MCP (Model Context Protocol) service integration
to join our engineering team. The ideal candidate will design, develop, and optimize backend systems that power intelligent, autonomous agents and context-driven services. You will collaborate with cross-functional teams to architect scalable solutions that leverage cutting-edge AI workflows while maintaining reliability, performance, and security.
Location: Austin,TX
Years of experience needed -
7 + years of experience in Java Backend development exposure to Agentic workflows
Required skills: Bachelor's/master's degree in computer science, Engineering, or related field. 5+ years of backend engineering experience
with strong expertise in
Java (Java 11+) and Python . Proven experience with
agentic workflows
(autonomous task orchestration, tool use, context-driven execution). Hands-on with
MCP (Model Context Protocol)
service development and integration. Strong understanding of
microservices architecture , RESTful APIs, gRPC, and message queues (Kafka, RabbitMQ, etc.). Experience with
databases
(SQL & NoSQL) and caching solutions (Redis, Memcached). Familiarity with
cloud platforms
(AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Solid grasp of
concurrency, multithreading, and distributed systems design . Proficiency in CI/CD pipelines, testing frameworks (JUnit, Mockito), and code quality tools. Excellent problem-solving, debugging, and communication skills Responsibilities -
Design, develop, and maintain scalable
Java-based backend services
to support agentic workflows and AI-driven applications. Implement and optimize
MCP services
to enable seamless context sharing and dynamic orchestration between models, agents, and tools. Architect APIs, microservices, and event-driven systems that ensure high performance, reliability, and low-latency communication. Collaborate with data scientists, AI/ML engineers, and frontend developers to integrate agentic intelligence into production systems. Write clean, maintainable, and testable code while following best practices in software engineering. Monitor, troubleshoot, and optimize system performance, scalability, and fault-tolerance. Contribute to
workflow automation , context management, and intelligent decision-making systems. Stay up to date with emerging technologies in AI, distributed systems, and backend engineering Preferred Qualification:
Experience with
AI/ML infrastructure , LLM-based applications, or agent frameworks. Knowledge of
event sourcing, CQRS, and workflow engines
(e.g., Temporal, Camunda, Airflow). Contributions
to open-source projects
related to agentic systems or MCP. Understanding of
observability
(logging, tracing, metrics) in distributed systems. Behavioral Skills:
Excellent Communication skills and collaboration skills Ability to propose and implement improvements in the system Ability to work with cross-functional stakeholders
About Mphasis
Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis' Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis' Service Transformation approach helps 'shrink the core' through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis' core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.
Equal Opportunity Employer:
Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster , view the EEO in the law supplement . To view the pay transparency nondiscrimination provision please click and to view the E-Verify posting click .
Mphasis is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of disability to search and apply for a career opportunity, please send an email to accomodationrequest@mphasis.com and let us know your contact information and the nature of your request.