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MuleSoft Architect

Job in Trenton, Mercer County, New Jersey, 08628, USA
Listing for: Cognizant
Part Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing: Infrastructure & Operations, Data Engineering
Salary/Wage Range or Industry Benchmark: 130000 - 180000 USD Yearly USD 130000.00 180000.00 YEAR
Job Description & How to Apply Below

The Role:

We are seeking a highly skilled Mule Soft Architect to design and lead enterprise integration solutions using Mule Soft's Anypoint Platform. This role is responsible for defining API-led architectures, ensuring scalable and secure integrations, collaborating with business and technical stakeholders, and providing technical leadership to delivery teams. The ideal candidate will have deep expertise in Mule Soft, cloud technologies, API management, and enterprise integration best practices.

Work Authorization:

Please note, this role is not able to offer visa transfer or sponsorship now or in the future.

Work model:

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2 days a week in a client or Cognizant office in San Francisco, CA . Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

In this role, you will:

· Design resilient cloud and enterprise integration architectures using Mule Soft and AWS Kiro, including specification-driven requirements, designs, implementation tasks, code, tests, and documentation for scalable utility solutions.

· Define and govern the end-to-end Mule Soft API lifecycle, from design and specification through development, testing, deployment, monitoring, versioning, and retirement, ensuring security, consistency, and reuse.

· Create integration blueprints, reference architectures, reusable assets, data models, and event-driven patterns for system interoperability, data exchange, outage management, and incident-response workflows.

· Establish architecture standards for API security, versioning, error handling, observability, performance, scalability, data lineage, regulatory compliance, and service-level objectives.

· Collaborate with product owners, business analysts, domain experts, development teams, and platform teams to translate complex utility requirements into practical technical designs and delivery roadmaps.

· Review implementations and optimize Mule Soft message flows, transformations, orchestration, connectors, and error handling to improve latency, throughput, maintainability, and operational resilience.

· Lead architectural reviews, technical workshops, incident root-cause analysis, and remediation planning across globally distributed teams in a hybrid, day-shift delivery model.

· Maintain API catalogs, dependency maps, architecture documentation, and operational guidance; evaluate emerging Mule Soft and AWS Kiro capabilities; and mentor teams to improve technical maturity and business continuity.

What you need to have to be considered

· Extensive enterprise architecture and integration experience, with proven delivery of resilient, secure, and scalable solutions for mission-critical workloads in multinational environments.

· Hands-on proficiency with AWS Kiro, including specification-driven development, requirements-to-design traceability, implementation planning, code and test generation, project standards, automation, and enterprise security controls.

· Deep expertise in Mule Soft Anypoint Platform and API lifecycle management, covering API design, governance, development, testing, deployment, policy enforcement, monitoring, versioning, and retirement.

· Advanced Mule Soft integration skills across API-led connectivity, connectors, flows, Data Weave transformations, orchestration, reusable assets, error handling, security policies, and heterogeneous enterprise systems.

· Practical utilities and outage-management domain knowledge, including fault detection, restoration workflows, operational communications, service continuity, data models, and regulatory…

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