Senior Software Engineer building scalable AWS, Big Data, and ML infrastructure for Genesys’ AI - powered customer - experience platform. Leading distributed systems projects from architecture through production.
About the role
- Software Architect shaping software architecture for Blackline products. Collaborating with teams and providing technical guidance for improvements.
Responsibilities
- Develop and refine architecture blueprints, outlining a roadmap for incremental enhancements at solution, technical, methodological, and organizational levels.
- Collaborate closely with other software leaders to drive continuous progress towards project goals.
- Offer guidance to technology teams on best practices to streamline delivery times, reduce integration and operational risks, and ensure ongoing reduction of technical debt.
- Contribute to strategic decision-making by fostering collaborative relationships with stakeholders to understand business, product, and technology needs.
- Ensure alignment of business and technical stakeholders with architectural directions.
- Partner with leaders across the company to align and address longer-term architectural goals and priorities.
- Developing scalable, high-quality microservices in a cross-functional environment.
- Providing technical leadership to the scrum team(s).
- Leading new product technical evaluations.
- Driving adoption of AI tools and processes to help automate the software development process.
Requirements
- Bachelor's or Master's degree in Computer Science or other relevant technical disciplines.
- 10+ years of experience in product software development.
- 2+ years of experience in an architectural role.
- Experience in developing and architecting SAAS systems at scale.
- Strong development experience in a distributed microservice environment
- Experience with AWS/Azure/GCP services, networking, identity, storage, and managed data services.
- Deep knowledge of Java (Spring Boot), Python, PHP or Angular
- Experience working with programming languages and frameworks alongside AI tools and platforms to generate code, test cases, and performance improvements.
- Design and implement machine learning algorithms and AI models within the application.
- Experience developing high performing database queries.
- Experience with performance testing and code optimization.
- Experience with Infrastructure as a Service (Terraform, CloudFormation) is a plus.
Benefits
- Competitive base salary and annual compensation review
- Comprehensive health and dental benefits*
- Mental health and wellness support
- Flexible work arrangements and hybrid work model for eligible positions
- Paid vacation, personal and sick days*
- Professional development opportunities
- Education funding
- Participation in the Company's employee stock ownership plan
- A collaborative, inclusive, and mission-driven culture
- Exclusive access to perks and discounts
- A flexible ‘Dress for Your Day’ environment
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