3+ YOECandidates need at least three years of hands-on platform engineering, infrastructure or DevOps experience. They should be comfortable with cloud, containers, CI/CD and infrastructure as code, and have experience using AI tools in development while keeping quality and security high.
Plusgrade Solutions Ltd. needs candidates with experience building and deploying supervised and unsupervised machine learning models, strong Python and SQL skills, and cloud ML experience on AWS SageMaker or similar. They must also use AI tools in their daily work.
Candidates need strong backend and frontend development skills, solid computer science fundamentals and experience with stateful workflows and recurring billing logic. They must write tested, maintainable code and communicate technical trade-offs clearly.
Candidates need strong full-stack experience with Python and TypeScript, relational database design in PostgreSQL or MySQL, and cloud operations on AWS and Kubernetes. Candidates also need experience changing how engineering teams work with AI, and strong communication and mentoring skills.
Candidates need hands-on experience integrating multiple payment service providers, strong backend skills in Java and Spring, cloud deployment and monitoring on AWS with Docker and Datadog, and a proven ability to lead architecture discussions and mentor peers.
Candidates need deep experience with loyalty platform architecture and integration with systems such as Amadeus, Sabre or Navitaire. They also need strong communication skills, a commercial mindset, and the ability to manage several deals at once.
4+ YOECandidates need at least 4 years of hands-on test automation coding in JavaScript, TypeScript, Java, Groovy or Python. They need experience with API, integration and UI testing tools such as Playwright, and experience building AI agents or MCP servers to improve testing.
Playwright, Gatling, Claude Code, Kiro, Model Context Protocol (MCP) servers
Candidates need proven experience putting machine learning and LLM systems into production, strong Python and Java skills, and hands-on experience with AWS, Kubernetes and MLOps practices. Strong self-direction and clear communication across teams are also required.
AWS, Kubernetes, Docker, Snowflake, Redshift, Argo CD
Candidates need deep experience in systems architecture and distributed ML platforms, plus proof of taking AI systems into production. Strong cloud-native and MLOps skills on AWS and Kubernetes, and experience with agentic workflows and LLM orchestration, are essential.
3+ YOECandidates need 3+ years of software implementation project management experience, ideally in software or e-commerce, plus client-facing experience in a technical setting. Strong communication, leadership and judgment under pressure are required.