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Populus Group is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email HR@PopulusGroup.com for other accommodation options.
Senior Software Engineer (Job Code: 175796)
Responsible for designing, developing, and implementing core platform components within private cloud environments using Core Java 17, Spring Boot, and related enterprise frameworks; build and maintain an internal API discovery platform enabling engineers to efficiently locate, understand, and integrate internal APIs across business units; apply advanced object oriented programming principles, design patterns, and best practices to ensure maintainable and extensible codebases; implement GraphQL integrations to support flexible and efficient API querying and data retrieval; develop containerized applications using Docker and deploy them into Kubernetes clusters within the private cloud; collaborate with platform engineering teams to optimize deployment pipelines, service mesh configurations, and workload orchestration; design, implement, and maintain SQL based relational databases, including schema design, indexing strategies, and performance optimization; develop data access layers and ensure secure, efficient interaction between application services and database systems; conduct performance and load testing using JMeter to validate system scalability, reliability, and throughput; analyze performance metrics, identify bottlenecks, and implement optimizations across application and infrastructure layers; utilize and apply knowledge of Core Java, TypeScript, Python, Spring Boot, React, REST APIs, AWS ElasticContainerService, AWS CloudFormation, AWS CDK, SQL, NoSQL, and Kubernetes to perform assigned duties; participate in architectural discussions, providing technical input and feasibility assessments; and work closely with product managers, architects, DevOps engineers, and other cross functional teams to ensure seamless integration of new features.
Site Reliability Engineer (Job Code: 176953)
Responsible for providing support with the design and implementation of data pipelines in a cloud environment; utilize knowledge of reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices, implementing the practices within business applications and platforms; build and implement data pipelines using AWS and similar cloud database; apply knowledge of Big Data development tool stacks including Hortonworks, AWS, Spark, and Scala in order to support ETL data pipelines implementation; setup monitoring and alerting using logging and monitoring tools including Kibana, Splunk, Elastic Search, Dynatrace, AppDynamics, Kibana, Grafana, CloudWatch, and Datadog; apply continuous integration and continuous delivery tools including Jenkins, GitLab, Terraform, and Spinnaker to complete assigned tasks; build end-to-end monitoring and alerting solutions for applications and data platforms enabling faster incident detection and improving production reliability; engineer Kubernetes-based deployment workflows for real-time model scoring applications, ensuring seamless scaling, high uptime, operational stability, and strong reliability through autoscaling, observability, and production performance optimization; support the migration of ETL and data processing workloads from AWS EMR to Databricks, enabling a more scalable, efficient, and modern cloud data platform; maintain Apache Airflow DAGs to orchestrate production data pipelines, ensuring reliable scheduling, dependency management, automated retries, monitoring, and operational stability; utilize Java and Python to complete assigned tasks; engineer EMR and pipelines for large-scale data aggregation and transformation, loading processed data into Cassandra to power machine learning models; and write complex, highly optimized queries across large volumes of data using SQL.
Systems Analyst (Job Code: 175869)
Responsible for creating and modifying functional design specifications to support the Workday and ADP payroll environments; design, develop, test and implement new business systems solutions and modified functionality as determined by the business; provide support for solution designs of business applications, emphasizing system performance and quality; participate in the facilitation of HR and benefits payroll systems and applications; migrate benefit applications and processes from EV5 to Workday; support the implementation of new and modify existing benefits programs and processes; utilize and apply knowledge of REST API-based integrations, Agile, DevOps, Unix, Workday, ServiceNow, Oracle PL/SQL, C#, Jira, SAP, MS SQL Server, BPM platforms (Appian), and Azure to perform assigned tasks; translate complex business requirements into software design specifications and architecture; and partner with existing dedicated resources to provide support as required for all newly developed programs and processes.
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