Senior Developer

Infinite Computer Solutions

United States

On-site

USD 150,000 - 210,000

Full time

3 days ago
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Job summary

Infinite Computer Solutions is seeking a Solutions Lead/Architect to steer the technical design and delivery of a complex enterprise workflow modernization program in the United States. You will own the architecture end-to-end, guide a cross-functional delivery team, and serve as the primary technical interface with business stakeholders.

This hands-on leadership role requires both strategic thinking and practical coding review, from business analysts to developers.

Qualifications

  • Deep BPMN and process modelling expertise with production workflow delivery.
  • Workflow orchestration experience with Temporal, Camunda, Flowable or AWS Step Functions.
  • Solid backend development fluency in Python, Java or TypeScript.
  • Relational database design and performance-aware querying.
  • Migration from legacy or low-code platforms with a business-logic discovery focus.
  • Technical discovery capabilities to convert stakeholder input into a specification.

Responsibilities

  • Define end-to-end solution architecture across orchestration, UI and data layers.
  • Lead migration design from legacy models to modern workflow orchestration patterns.
  • Design data architecture including migration strategy, reporting schema and ownership model.
  • Document build-vs-buy decisions with ADRs and manage risk early.
  • Guide QA strategy and automation; mentor developers and unblock issues.
  • Communicate risk and progress to non-technical stakeholders.

Skills

BPMN modelling
Workflow orchestration
Backend tech: Python/Java/TS
SQL & data design
Migration experience
Technical discovery

Tools

Temporal
Camunda
Flowable
AWS Step Functions

Job description

We are looking for a Solutions Lead/Architect to lead the technical design and delivery of a complex enterprise workflow modernization program. The engagement involves migrating a business-critical application off a proprietary low-code platform and rebuilding it as a fully code-owned, cloud-hosted solution with modern workflow orchestration, a clean data layer and AI capabilities integrated where they add genuine value.

This is a hands-on leadership role. Own the architecture end-to-end, guide a cross-functional delivery team and be the primary technical interface with business stakeholders. The right person is equally comfortable whiteboarding a workflow model with a business analyst and reviewing a pull request with a developer.

What You'll Do
Architecture & Technical Design
  • Define and own the end-to-end solution architecture across orchestration, UI and data layers
  • Lead the migration design mapping existing business process models to modern workflow orchestration patterns
  • Design the data architecture including migration strategy, reporting schema and long-term data ownership model
  • Make informed build-vs-buy decisions and document the reasoning through Architecture Decision Records (ADRs)
  • Identify and mitigate technical risk early particularly around business logic embedded in legacy platform internals
  • Set and enforce engineering standards coding practices, branching strategy, PR review, test coverage
  • Break down complex requirements into well-scoped, deliverable stories for the development team
  • Be the technical escalation point when developers hit complex problems mentor and unblock, don't just direct
  • Define and guide the QA strategy, including automation approach and coverage expectations
  • Ensure the team's architectural intent is reflected in what actually gets built
Stakeholder Engagement & Migration Leadership
  • Lead technical discovery sessions with business SMEs to extract and formalize requirements from an existing system
  • Own the cutover strategy phased transition, parallel run management and decommission planning
  • Communicate technical risk and progress in plain language to non-technical stakeholders
  • Manage cross-team dependencies and integration touchpoints with other systems and teams
Required Skills:
  • Deep BPMN and process modelling expertise you have designed and delivered production workflow solutions, not just diagrams. Understand SLAs, escalations, parallel gateways, exception paths and long-running human tasks at an implementation level.
  • Workflow orchestration experience Temporal, Camunda, Flowable, AWS Step Functions or equivalent. Understand durable execution, state management and the real differences between orchestration and choreography.
  • Solid backend development fluency you can read and reason about Python, Java or TypeScript at a level that lets you validate a developer's implementation, not just review the concept.
  • Relational database design comfortable designing normalized schemas, writing non-trivial queries and thinking through performance implications from day one.
  • Re-platforming or migration experience you have successfully moved an application off a legacy or low-code platform. Understand where the hidden business logic hides and how to find it before it becomes a production incident.
  • Technical discovery capability you can walk into a room, interview stakeholders who have been using a system for years and turn what hear into a coherent, buildable functional specification.
Strong Advantages
  • GenAI / LLM integration experience specifically using AI as part of a workflow pipeline (tool calling, RAG, prompt engineering, embedding models) rather than as a standalone product.
  • Experience migrating from Appian, Pega, ServiceNow or a similar enterprise low-code platform.
  • Telecom, utilities or field operations domain knowledge understanding of work order or build project lifecycles is a meaningful accelerator.
  • Spatial / GIS data experience working with geographic datasets and PostGIS or equivalent.
  • Front-end familiarity enough React or low-code UI experience to have a productive conversation about form logic, conditional rendering and API integration with the front-end team.
  • AWS cloud and container orchestration (EKS / Kubernetes) deployment-level awareness of how distributed workflow workers are hosted and scaled.
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