via Remote Rocketship
$120K - 200K a year
Design, develop, and maintain scalable cloud-native services and APIs, contribute to system architecture, and improve operational workflows.
8+ years of software engineering experience, proficiency in modern web and backend technologies, extensive AWS experience, and familiarity with distributed systems and machine learning concepts.
Job Description: • Partner closely with Product, Design, and Engineering to shape product strategy, scope, and technical execution • Design and build API-first, cloud-native services that integrate with web clients, internal tools, and external partners • Own projects end-to-end: architecture, implementation, testing, deployment, monitoring, and iteration • Develop and maintain scalable, distributed systems with a focus on performance, reliability, and security • Contribute to the evolution of our conversational AI platform, including messaging pipelines, integrations, and data flows • Write clean, testable, well-documented code while raising engineering standards through reviews and technical leadership • Continuously improve development workflows, CI/CD pipelines, and operational excellence • Identify and resolve performance bottlenecks across application, database, and infrastructure layers Requirements: • Bachelor's degree in Computer Science or a related technical field • 8+ years of professional software engineering experience building production systems • Strong experience with modern web development: RESTful APIs, relational databases, CI/CD, background jobs, and event-driven systems • Proficiency in at least one modern programming language with solid object-oriented and/or functional design principles • Hands-on experience with backend technologies: Laravel, Express, Serverless, Python, PHP, TypeScript • Hands-on experience with frontend technologies: React, modern JavaScript/ES6+ • Strong understanding of software architecture patterns, system design, and best practices for large-scale applications • Experience building and operating systems on AWS, including services such as: S3, SQS, SNS, SES, Step Functions, RDS, EC2, Kinesis, Lambda • Familiarity with distributed systems, messaging queues, and asynchronous processing • Working knowledge of testing strategies, linters, package management, and CI pipelines • Practical understanding of machine learning concepts and how they apply to real-world products Benefits: • About NiCE • Equal opportunity employer
This job posting was last updated on 1/9/2026