Senior Pega Software Engineer (Intelligent Automation)

Yantran LLC

ALPHARETTA, GA

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JOB DETAILS

SALARY

SKILLS

Apache Kafka, Application Programming Interface (API), Authentication, Automation, Backlog Prioritization, Best Practices, Business Architecture, Business Processes, CASE (Computer-Aided Software Engineering), Caching, Case Management, Cloud Computing, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Contract Management, Cross-Functional, Data Modeling, Design Patterns Programming Methodologies, Error Handling, Java Message Service (JMS), Maintain Compliance, Mentoring, Operational Support, Performance Metrics, Performance Tuning/Optimization, Process Improvement, Production Support, Quality Assurance, REST (Representational State Transfer), Refactoring, Reporting Dashboards, Requirements Management, Root Cause Analysis, SOAP (Simple Object Access Protocol), Service Level Agreement (SLA), Software Engineering, Systems Administration/Management, Technical Leadership, Technical Writing, Test Case, Test Data, Test Scenario, Unit Test, User Interface/Experience (UI/UX)

LOCATION

ALPHARETTA, GA

POSTED

30+ days ago

PEGA Sr. Developer / Architect --
Intelligent Automation, Decisioning and LSA
Alpharetta GA .
Rate - ***-*** ***/hr
Salary - 120K
JD
Keyskills - Case management workflows
,
decisioning ,
document understanding ,
LSA
and
system integrations
Job Description:
As a
Senior Pega Software Engineer (Intelligent Automation) , you will collaborate with business partners, product managers, architects, and cross functional engineering teams in an agile environment to
design and implement Pega case types, workflows, and integrations . You ll own end to end delivery from elaborating requirements with DCO, through App Studio/Dev Studio implementation, Pega Unit testing, and CI/CD via Pega Deployment Manager while ensuring guardrail compliance, performance, security, and operational reliability in production.
Skills/Experience:
Design
build Pega workflows as a primary responsibility: model case types, stages/steps, flows/flow actions, assignments, SLAs, subcases, and cover/covered structures to deliver scalable, maintainable automation.
Implement Pega application logic using data pages, data transforms, activities (when appropriate), decision tables/trees, when rules, and validations with strong adherence to Pega guardrails and reusable design patterns.
Configure UX via App Studio (views, personas, channels) and refine in Dev Studio; leverage Constellation/DX API patterns where applicable for consistent, accessible user experiences.
Integrate Pega with enterprise systems of record using REST/SOAP connectors, file/queue patterns, eventing (e.g., JMS/Kafka if applicable), and robotic automations via Pega Robot Manager where needed; define and maintain integration contracts and error handling strategies.
Apply Directly Capture Objectives (DCO) to translate business processes into executable Pega designs, authoring specifications, test cases, and acceptance criteria that stay in sync with the application.
Implement document centric automations (e.g., intake, classification, data extraction) by orchestrating OCR/AI services from Pega workflows and managing exception paths and human in theloop steps.
Enforce security using Pega roles, access groups, privileges, ABAC/RBAC, authentication and service package policies; partner with enterprise security for encryption and compliance requirements.
Ensure quality with Pega Unit tests, scenario tests, service level mocks, and automated regression packs; collaborate with QA on end to end test data and environments.
Optimize performance using tools such as PAL, Tracer, DB Trace, and PDC (Predictive Diagnostic Cloud); tune data pages, query strategies, caching, and guardrail scores to meet SLAs.
Own CI/CD for Pega via Deployment Manager (or equivalent pipelines) including branch based development, application packaging, product rulesets, and Azure backed environment promotion.
Instrument observability: configure PDC subscriptions, log/alert routing, health dashboards, and KPIs that track case throughput, backlog, SLA adherence, and automation success rates.
Conduct impact assessments for platform upgrades (Pega version/hotfixes), ruleset refactoring, data model changes, and integration updates; plan remediation for deprecated features and guardrail exceptions.
Lead and participate in peer reviews (rules, branches, data models, integration layers), provide technical guidance, and mentor associate engineers on Pega best practices and reusability.
Collaborate with Product Owners, Business SMEs, Architects, and adjacent platform teams to prioritize the IA backlog, define MVP scopes, sequence dependencies, and align workflow releases with program increments.
Produce clear technical documentation: application and data models, decision logic, integration mappings, exception handling, operational runbooks, and support playbooks.
Support production with an ownership mindset: triage incidents, perform root cause analysis, deliver hotfixes via controlled pipelines, and drive continuous improvement of stability and user experience.
Maintain currency with Pega platform capabilities (Constellation, DX API, App Studio tooling, case management enhancements, decisioning, Robot Manager) and contribute to shared design standards and accelerators.
This list is not all inclusive; you may be asked to perform other Pega delivery duties aligned to Intelligent Automation objectives.

About the Company

Yantran LLC

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