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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering Senior Advisor - **Company:** Cigna - **Location:** Seattle, WA, United States (Remote available) - **Experience:** Expert - **Salary:** $180,710.0 - $217,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Spring Security, Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Amazon S3, User Authentication, Unit Testing, Backup Devices, Cloud Computing, Cloud Engineering, Configuration Management, Code Review, Computer Programming, Computer Engineering, Data Validation, Data Integrity, Data Migration, Data Stores, Data Synchronization, Database Queries, Web Development, Disaster Recovery, Github, Issue Tracking Systems, Integrated Development Environments, Internet Services, Java Database Connectivity, Spring Framework, Junit, Python (Programming Language), PostgreSQL, Apache Maven, MongoDB, NoSQL, OAuth, Scrum Methodology, Requirements Management, Software Engineering, SQL Databases, Strategies of Testing, Virtual Machines, Openapi, Scripting, Spring-boot, AWS Lambda, Spring Data, Data Lakes, Information Technology, Low Latency, Real Time Data, Apache Kafka, Data Management, Restful APIs, Code Restructuring, Software Version Control, Data Pipelines, Confluent, Microservices - **Published:** October 4, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineering-senior-advisor-hybrid-seattle-wa--e8f5574d-7604-4293-981a-3712167484f7 ## About the Role * Master's degree in Computer Science, Computer Engineering or related field and 2 years of experience as a Senior Technical Consultant, Technical Consultant, Web Developer, or related occupation. * Will accept a Bachelor's degree and 4 years of experience. * Requires experience with: Working in/with clients in the healthcare or pharmacy benefit management industry; * Working on AWS cloud migration for Audit data service from on-prem Postgres to Aurora DB; Developing One-time load data migration tools in python to migrate the existing on-prem terabytes of data into Aurora DB, Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Skills: AWS Lambda, Agile Programming Methodologies, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Apache Kafka, Application Programming Interface (API), Authentication, Broadband, Business Analysis, Business Services, Cloud Architecture, Cloud Computing, Code Reviews, Compensation and Benefits, Computer Engineering, Computer Programming, Computer Science, Data Lake, Data Management, Data Migration, Data Modeling, Data Quality, Disaster Recovery, Employee Benefits, Fiber Optic Cable, GitHub, Healthcare, High Throughput, IDE (Integrated Development Environment), Internet Service Providers, JDBC (Java Database Connectivity), JUnit, Java, Maven, Mentoring, Microservices, MongoDB, NoSQL, OAuth, Pharmacy, PostgreSQL, Problem Solving Skills, Process Improvement, Python Programming/Scripting Language, Quality Assurance, REST (Representational State Transfer), Reconciliation, Refactoring, Requirements Management, SQL (Structured Query Language), Scrum Project Management and Software Development, ScrumMaster, Service Level Agreement (SLA), Software Design, Software Development, Software Engineering, Source Code/Configuration Management (SCM), Spring Framework, Standards Development, State Ordinances, Team Lead/Manager, Technical Consulting, Technical Leadership, Test Plan/Schedule, Test Strategy, Unit Test, Virtual Machine (VM), Web Programming, Work From Home ## Description * Act as the lead developer on one or more scrum team responsible for the design and development of services implementing REST-based Application Programming Interfaces (APIs). * Work with technical managers, architects, and subject matter experts to define and refine requirements and API specifications, perform analyses of existing business services and data stores, create detailed designs, write code and unit tests, conduct code reviews and code refactoring, and mentor other members of the team. * Partner with architects to set the direction for maturing use of, retiring, and adding technology components in the Evernorth (ESI) environment. * Work with technical managers and scrum masters in communicating status, figuring out sprints and milestones, aligning sprints to business needs, breaking stories into tasks, providing estimates, and ensuring the development efforts are focused and aligned with stories. * Work with the Quality Assurance (QA) team and developers to define and implement test strategy, ensure quality, lead efforts to develop standard practices, components, and guidelines for the use of complex technology components, and resolve urgent issues with production services. * Hybrid Work Schedule., * Developing data synchronization pipelines to process the real-time data from Apache Kafka topics by configuring S3 sink connector to trigger S3 events and Lambda to persist the data into Aurora DB; * Optimizing the API service response time within SLA by improving mongo queries and indexes; * Developing Data Verification Tools to reconcile data between different sources and target DB; * Designing effective data pipeline to transform data, performing data integrity checks and processing retry errors or failures; * Developing update processors to handle the data with high throughput and low latency using Kafka Confluent; * Implementing Mongo change streams on MongoDB to transform the real-time events into Data Lake; * Building Restful APIs in Spring Boot using cloud based Microservices architecture; * Developing a common Authorization service using Spring Security; * Setting up infrastructure for Disaster Recovery Environment; * Utilizing GitHub for managing work including issue tracking, pull request reviews and version control; * Implementing secure authentication mechanisms and managing user permissions to protect resources using OAuth2.0; * Writing unit tests using Junit framework; * Implementing PostgreSQL database as backend database for persistent Portal data; * Using Spring data repository framework to convert business requirements into database queries; * Working in Agile environments; and * Using: Java development, data models, sequence diagrams, class diagrams, Java Data Base Connectivity (JDBC), Structured Query Language (SQL), NoSQL, Scrum, Maven, REST-based services, Cloud/VM infrastructure and technologies, and modern IDEs.