Lead Software Engineer

Hearst•New York, NY

10h

About The Position

HTS is seeking a Lead Software Engineer with strong expertise in AWS, Liferay DXP, Elastic Search, and AI tools who can both lead and contribute hands-on. In this role, you will guide a small team of developers, collaborate with vendors, and drive end-to-end delivery of enterprise applications. The ideal candidate combines technical depth with leadership skills — ensuring solutions are scalable, secure, and aligned with business goals.

Requirements

8–10 years of experience in software engineering with at least 2+ years in a lead role.
Strong expertise in AWS (Lambda, API Gateway, DynamoDB, S3, CloudFormation, Code Pipeline, Code Build).
Strong hands-on experience with Liferay DXP 7.4 in enterprise projects (preferably at least 1-2 full release cycles).
Experience with headless development: REST APIs, GraphQL in Liferay context.
Hands-on proficiency in Java and Python development.
Elastic Search configuration for scalable search capabilities.
Experience implementing and integrating AI tools in enterprise applications.
Experience with database technologies (SQL, NoSQL) and data modeling.
Experience with modern version control systems (GitHub)
Excellent problem-solving skills and ability to work in an agile development environment.
Demonstrated self-motivation, leadership, and driving capabilities.
Motivated, self-starter, independent, results oriented and professional.
Experience with Agile project management tools (e.g., JIRA, ServiceNow)
Continuous learner with a growth mindset

Responsibilities

Develop and maintain Liferay DXP 7.4 modules, portlets, OSGi services, and custom APIs.
Implement front-end client extensions (Remote Apps), themes, fragments, style books, master pages consistent with Liferay DXP 7.4 best practices.
Build headless services using REST / GraphQL APIs for multi-channel content delivery.
Work with content management features: asset libraries, metadata, display page templates, content collections, filters, pagination, etc.
Participate in upgrades / migrations to 7.4: assess compatibility, manage database / schema changes, resolve structure / field conflicts, ensure minimal disruption.
Optimize performance and scalability: caching strategies, search (Enterprise Search / Search Blueprints), deployment in cloud / containerized environments.
Design and implement enterprise applications leveraging AWS cloud services, Elastic Search, and Liferay DXP.
Contribute hands-on in Java, Python, and serverless AWS frameworks (Lambda, API Gateway, DynamoDB).
Drive CI/CD automation.
Develop and optimize databases (Oracle, MySQL) and secure data models.
Build web services and APIs to integrate with external systems.
Champion DevOps best practices for continuous integration, continuous deployment, and automated testing using CloudFormation, AWS Code Pipeline and Code Build.
Ensure code quality, performance, and maintainability through code reviews and best practices.
Create and maintain technical documentation, including system design, architecture diagrams, and API documentation.
Support existing applications, reviews application architecture/design and identify opportunities to optimize (Performance, Security, Maintenance, etc.)