About PulseLearning
Established in 1999, PulseLearning is a world-class, award-winning provider of learning solutions supporting clients globally across all sectors.
We operate across the United States, United Kingdom, EMEA, Ireland, Canada, and Australia, delivering innovative, people-focused learning solutions that drive real impact.
Our team works collaboratively to design and develop learning experiences that inspire behavioral change and measurable results. At PulseLearning, we value creativity, collaboration, and continuous improvement.
Role Overview
Software Developer responsible for designing, building, and maintaining modern, cloud-based software solutions in collaboration with cross-functional teams and subject matter experts. The successful candidate will bring strong software engineering fundamentals, hands-on cloud experience, and a builder's mindset to deliver scalable, secure, and reliable systems.
Key Responsibilities
- Design, develop, test, and deploy scalable, secure, and cost-effective software solutions using cloud-native architectures and microservices
- Build and maintain resilient distributed systems that are highly available, fault-tolerant, and performant at scale
- Develop software using one or more modern programming languages such as Java, Python, TypeScript, Go, C#, C++, or Rust
- Design and consume RESTful APIs and integration frameworks to enhance system interoperability
- Deploy and operate workloads on major cloud platforms, applying cloud services for compute, storage, databases, networking, serverless, and containers
- Define and manage infrastructure as code and automated deployment pipelines (CI/CD)
- Apply engineering best practices, including automation, unit and integration testing, code reviews, secure coding, and technical documentation
- Work with both relational (SQL) and NoSQL database technologies, selecting the right data store for each workload
- Leverage AI agents, generative AI, and AI-enabled developer tools to improve development productivity and code quality
- Monitor, troubleshoot, and resolve production issues, contributing to operational excellence and continuous improvement
- Collaborate with cross-functional stakeholders and subject matter experts to translate business requirements into technical solutions
- Manage multiple development activities concurrently while meeting project timelines and quality standards
- Work effectively with remote and globally distributed teams across multiple time zones
- Stay current with cloud technologies, architectural patterns, AI-assisted development practices, and emerging industry trends
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Qualifications
- 3+ years of professional (non-internship) software development experience
- 2+ years of experience with design or architecture of new and existing systems, including design patterns, reliability, and scaling
- Strong proficiency in at least one modern programming language (e.g., Java, Python, TypeScript, Go, C#, C++, or Rust)
- Solid computer science fundamentals, including data structures, algorithms, and object-oriented design principles
- Hands-on experience building and operating solutions on a major public cloud platform; deep familiarity with AWS services and architecture best practices is strongly preferred
- Experience with distributed systems, microservices, serverless architectures, and containerization (e.g., Docker, Kubernetes)
- Experience with infrastructure as code (e.g., CloudFormation, CDK, or Terraform) and CI/CD tooling
- Working knowledge of SQL and NoSQL database systems
- Understanding of security best practices, including identity and access management, encryption, and secure API design
- Experience using AI agents or AI-enabled tools within software development workflows
- Experience delivering complex software systems successfully to customers
- Strong written and verbal communication skills, with the ability to explain technical concepts clearly
- Experience working with remote and geographically dispersed teams across multiple time zones
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related field, or equivalent practical experience
- Cloud certifications (e.g., AWS Certified Developer, Solutions Architect, or DevOps Engineer) are considered an advantage or
- Experience in machine learning, data engineering, building AI-enabled applications is desirable
