Senior Integration & Composition Engineer (Go lang Developer Lead)

    Highlights

    The engineer will use JQ and Go templates to implement dynamic request/response mappings, configuration-driven workflows, and environment-specific integrations while ensuring scalability, resiliency, and compliance. Skill 1 - 7Yrs of Exp - ·JQ, GO, Skill 2 - 7Yrs of Exp - OOPS, Python, Skill 3 - 5Yrs of Exp Scripting, AWS, REST API, Payments, Good To have Skills -.

    Numbers & Facts

    LocationDenver, CO

    Description

    Client Job Title: Senior Integration & Composition Engineer (Go lang Developer Lead)(21944-1)

    Location: Englewood, CO (USA-Englewood-Comcast, Englewood, United States of America)

    Number of days onsite - 3

    If onsite, provide Office Address - Englewood, CO (USA-Englewood-Comcast, Englewood, United States of America)

    Must have Skills -

    Skill 1 - 7Yrs of Exp - ·JQ, GO,

    Skill 2 - 7Yrs of Exp - OOPS, Python,

    Skill 3 - 5Yrs of Exp Scripting, AWS, REST API, Payments,

    Good To have Skills -

    Skill 1 - 3 Yrs of Exp -, CI/CD,

    Skill 2 - 3 Yrs of Exp -, Go Template

    Preferred Skills (Preferred Experience)

    Python, GO Language, Java, CI/CD

    Job Description

    Senior Integration & Composition Engineer to design and implement dynamic payload transformations and configuration compositions to integrate multiple systems reliably and efficiently. This role focuses on payload composition, transformation, and system integration across internal systems and external partners. The engineer will use JQ and Go templates to implement dynamic request/response mappings, configuration-driven workflows, and environment-specific integrations while ensuring scalability, resiliency, and compliance.

    Key Responsibilities

    Design and implement integration compositions across APIs, services, and platforms

    Transform, filter, and enrich JSON payloads using JQ

    Build reusable and parameterized templates using Go templating

    Compose requests/responses for downstream systems based on business rules

    Support system-to-system integration, orchestration, and data mapping

    Troubleshoot integration issues related to payload structure and transformations

    Collaborate with platform, API, and DevOps teams to ensure seamless deployments

    Maintain versioned, reusable templates and transformation logic

    Build Go template-driven configurations to support reusable, parameterized integrations across environments (DEV, QA, UAT, PROD)

    Integrate 3rd party platforms with upstream channels and downstream providers

    Implement standardized error handling and decline mapping to ensure consistent customer and operational experiences

    Partner with product, architecture, QA, and operations teams to ensure payment integrations meet business, regulatory, and performance requirements

    Troubleshoot production issues related to payment composition logic, payload mismatches, or partner integration failures

    Contribute to documentation, best practices, and reusable integration assets

    Required Skills & Experience

    Hands-on expertise with JQ for JSON filtering, mapping, aggregation, conditionals

    Strong proficiency with Go templating, including conditionals, loops, and reusable templates (Helm-style experience is a plus) & payload generation

    Integration & APIs - Experience integrating REST-based payment APIs and event-driven flows. REST APIs, JSON, HTTP, API gateways, middleware, or integration platforms

    Experience in programming and scripting languages such as GO/Java/Python

    Understanding of payment failure scenarios, declines, and reconciliation impacts

    Experience supporting high-throughput, low-latency transaction systems

    Knowledge in DevOps such as Kubernetes, Helm, CI/CD Pipeline

    Familiarity with orchestration frameworks

    Strong debugging and problem-solving skills

    Preferred / Nice-to-Have

    Prior experience with payment platforms and end-to-end payment lifecycles

    Knowledge of alternative payment methods, recurring billing, and subscription models

    Exposure to cloud-native deployments, CI/CD pipelines, and Kubernetes-based platforms

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