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Junior Java Microservices Developer Jobs in Allendale, MI

Workato Solution Architect

Grand Rapids, MI · On-site

$60.50 - $79.75/hr

... Python or Java. • Excellent problem-solving skills and attention to detail. • Strong ... with microservices architecture and containerization (Docker, Kubernetes). • Knowledge of ...

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Junior Java Microservices Developer information

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How much do junior java microservices developer jobs pay per year?

As of May 28, 2026, the average yearly pay for junior java microservices developer in Allendale, MI is $93,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $92,800.00 per year, depending on experience, location, and employer.
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Workato Solution Architect

Workato Solution Architect

Slalom

Grand Rapids, MI • On-site

$60.50 - $79.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
Slalom is a modern technology company focused on delivering innovative solutions to complex business problems. The Workato Solution Architect will collaborate with clients to understand their integration needs, design and implement scalable integration solutions, and provide technical guidance throughout the integration process.
Responsibilities:
• Collaborate with clients to understand their business requirements and integration needs.
• Conduct assessments of existing systems and API Portfolio, identify challenges, and recommend solutions.
• Facilitate workshops and meetings with client stakeholders to gather requirements and present solutions.
• Develop customized integration and API gateway architecture blueprints tailored to client needs.
• Design and build scalable, reliable, and secure integration solutions.
• Design and build scalable, reliable, and secure integrations/API solutions and help migrate existing APIs to new API platforms.
• Create detailed technical specifications, including API designs, message schemas, and data mappings.
• Lead the implementation of integration & API solutions using appropriate middleware and integration tools.
• Capable of working independently or as part of a team with minimal supervision.
• Oversee the development, testing, and deployment of integration, and API components, ensuring alignment with client expectations.
• Provide hands-on support and troubleshooting during the implementation phase.
• Offer technical and architectural guidance to client teams, including coaching on AI-related design decisions, risks, and tradeoffs.
• Act as a subject matter expert in integration and API technologies, providing leading practices and recommendations.
• Assist clients in optimizing and maintaining their integration solutions.
• Proactively escalate risks and issues to project and client teams.
• Lead client conversations on AI strategy as it relates to integration, automation, and digital platforms by translating business goals into pragmatic solution approaches.
• Define reference architectures and patterns for AI-enabled integration (e.g., agent orchestration, RAG pipelines, event-driven AI workflows).
• Guide clients through AI readiness assessments, including data maturity, platform fit, operating model implications, and risk considerations.
• Coach teams and clients on AI leading practices, tradeoffs, and emerging trends, helping them make informed, responsible adoption decisions.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 10+ years of experience in integration development, architecture and design.
• Proven experience in a consulting role, working directly with clients.
• Proficiency with integration platforms and middleware (e.g., Boomi, Workato, MuleSoft, Informatica, Celigo, Snaplogic, Microsoft Azure Integration Services - ADF, Apache Camel, Solace, Google Integration Services).
• Proficiency with API Gateway platforms (e.g., APIGEE Edge, APIGEE X, Azure API Management, AWS API Management, Kong API Management).
• Strong understanding of integration patterns and best practices.
• Strong understanding of API management, RESTful and SOAP web services, and message queuing.
• Hands-on experience in building API specs, APIs on gateway and testing them using tools to validate the functionality.
• Experience with cloud integration platforms and services (AWS, Azure, Google Cloud).
• Knowledge of data formats such as JSON, XML, and CSV.
• Proficiency or familiarity with Python or Java.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills.
• Certification in relevant integration technologies or platforms.
• Experience with microservices architecture and containerization (Docker, Kubernetes).
• Knowledge of enterprise service buses (ESBs) and service-oriented architecture (SOA).
• Familiarity with DevOps practices and CI/CD pipelines, experience building APIGEE infrastructure on APIGEE X and APIGEE Edge, experience migrating APIs and experience with linter tools.
• Demonstrated ability to advise clients on AI adoption decisions, balancing innovation, feasibility, risk, and value realization.
• Experience shaping solution direction across integration, data, and AI capabilities in complex enterprise environments.
• Ability to mentor practitioners and influence stakeholders on responsible, scalable use of AI in production systems.
• Thought leadership contributions (e.g., accelerators, internal IP, client POVs) related to AI-enabled integration or automation.
• Willingness to travel up to 30% as needed and/or be in person at client site in your home city.
Company:
Slalom Consulting is a business and technology consulting firm that designs and builds strategies and systems to help its clients Founded in 2001, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.