Full-stack Engineer

• Take ownership of a core product in the MariaDB developer tools portfolio. Lead its development, testing and build processes using AI coding agents.
• Implement APIs, SDKs and AI agent skills that make building on MariaDB feel like magic.
• Ensure seamless integration with modern, AI driven development workflows, including popular frameworks, IDEs, and CI/CD pipelines.
• Build and refine the interfaces that DBAs and developers use to interact with our products.
• Work closely with other teams at MariaDB to provide developers and DBAs with the best integrated solution possible.

Principal Software Engineer – Developer Tools

• Design, develop, and maintain high-performance back-end systems using C# and SQL, with a preference for PostgreSQL
• Design and develop user-friendly front end using Vue
• Optimize database performance and ensure data integrity and security
• Develop and maintain RESTful APIs to support front to back integration
• Troubleshoot and debug complex issues in a timely manner
• Write clean, maintainable, and efficient code following best practices
• Participate in code reviews
• Stay updated with the latest industry trends and technologies to ensure our systems remain cutting-edge
• Work directly with a development team in London and California development team members in various time zones

Senior Full Stack Software Engineer

• Design, build, and scale the backend architecture and APIs powering the AI Hub and its autonomous agents (like the AI Sales Agent).
• Implement robust, low-latency integrations between core backend systems, LLMs, and communication channels to support 24/7 real-time automation.
• Ensure consistency, performance, and correctness across high-volume data models and complex backend workflows.
• Own MongoDB schema design and query optimization for complex data structures (including data models optimized for AI context and conversation history).
• Collaborate closely with Product Managers, Software Architects, and AI specialists to translate advanced automation requirements into robust technical solutions.
• Own and lead backend-focused strategic initiatives and architectural improvements within the AI Hub ecosystem.
• Own and lead frontend-focused strategic initiatives and architectural improvements within the AI Hub ecosystem.
• Debug and resolve production issues across the backend stack and infrastructure layer.
• Review peer code with a focus on correctness, performance, and maintainability.
• Write unit and integration tests and functional tests; Mentor junior engineers on backend fundamentals, system design, and AI integration best practices.

Senior Software Engineer – AI Hub

• Design and implement AI-powered features and enhancements across the Sitefinity Cloud platform
• Take ownership of building new functionalities, improvements, and maintaining existing components
• Leverage AI-assisted development tools to improve productivity, code quality, and delivery speed
• Participate in the research and design of software components, with a strong focus on AI-driven architecture and capabilities
• Write clean, maintainable, and high-quality code aligned with modern engineering and AI-first best practices
• Analyze business requirements and proactively propose AI-driven solutions and use cases
• Participate in code reviews, contributing to both engineering excellence and AI adoption practices
• Investigate and resolve complex issues across distributed systems and cloud environments
• Contribute to continuous improvement of the product by exploring new AI technologies, tools, and approaches
• Stay up to date with the latest advancements in AI, cloud, and modern software engineering

Software Engineer

• Design and build distributed, event-driven backend services
• Lead end-to-end development: from planning and coding to deployment and observability.
• Collaborate cross- functionally with product, design, and infrastructure teams.
• Participate in architecture reviews, technical decision-making, and system documentation.
• Help shape engineering culture by mentoring teammates and championing clean, maintainable code.
• Ensure high reliability and availability through robust testing, logging, and incident response practices.

Senior Software Engineer

• Lead the architecture, design and implementation of backend and platform services for AI-powered and agentic systems.
• Design and build agentic harness tooling that enables teams to develop, evaluate, debug, deploy and operate LLM-powered agents and workflows.
• Apply deep knowledge of AI, LLMs, model behavior, prompt/version management, RAG, tool use, MCP, memory systems, evaluation patterns and agent orchestration to real product challenges.
• Build reusable AI platform capabilities that can be adopted across several Progress products, including Agentic Memory, Observability, evaluation pipelines, developer tooling and other AI-enabled experiences.
• Own complex technical initiatives end-to-end - from initial discovery and architecture to development, testing, production rollout and operational maturity.
• Write secure, testable and maintainable code while setting a high engineering bar across backend services, infrastructure and platform components.
• Solve complex engineering challenges and help shape scalable, high-availability architectures that support production-grade AI workloads and long-term product growth.
• Drive DevOps excellence through infrastructure automation, CI/CD, deployment reliability, observability, incident readiness and cost-aware cloud architecture.
• Establish strong observability and evaluation practices for AI systems, including tracing, metrics, structured logging, model and agent behavior analysis, feedback loops and reliability signals.
• Collaborate with product, engineering, architecture, security and DevOps teams to translate ambiguous AI platform needs into clear technical direction and deliverable systems.
• Lead technical discovery and prototyping in fast-moving AI areas, then turn validated ideas into robust, supportable platform capabilities.
• Provide technical leadership across teams by mentoring engineers, guiding architectural decisions, reviewing designs and raising engineering standards.
• Stay current with the evolving AI, LLM, agentic systems and observability ecosystem, and use that knowledge to influence Progress’ platform direction.
• Operate within an established agile process that supports continuous delivery and enables rapid iterations.

Senior Principal Engineer, Agent Harness

• Research and understand the competitive landscape
• Implement new functionality following the latest design principles
• Write clean, maintainable and readable code, according to the best coding standards
• Participate in code reviews and quality checks
• Participate in documenting the ready software product
• Write different types of tests
• Be part of a scrum team and take part in planning, review and retrospective sessions
• Leverage AI-assisted tools responsibly to improve productivity, code quality, and overall development velocity

Software Engineer Intern, C#

• Develop and maintain scalable, high-performing backend services
• Build and evolve core shared backend libraries
• Take end-to-end ownership of the services and libraries built
• Design, evolve, and maintain infrastructure-as-code solutions
• Work closely with product development teams
• Contribute to improving deployment workflows
• Ensure platform solutions align with security, compliance, and reliability standards

Senior Software Engineer – Platform

• Build and maintain our agent-facing application (45k+ daily users)
• Evolve our continuous delivery process, aiming for zero-downtime releases
• Work in a cross-functional team (Tech Lead, PM, Designer, Engineers, QA)
• Write clean, maintainable, tested code and review others’ code
• Debug production issues and take ownership of fixes
• Contribute to system design and technical decisions

Full Stack Developer – Agent Application

• Help build and extend the Channel Partner Platform, a core piece of LucidLink's go-to-market engine.
• Design and develop customer-facing and internal APIs that are reliable, well-documented, and a pleasure to integrate with.
• Build and refine frontend experiences — partner portals, self-service flows, dashboards, and admin tooling — with a focus on clarity and usability.
• Design billing solutions and multitenant, customer-facing integrations that scale cleanly across partners and end customers.
• Troubleshoot, analyze, and continuously improve customer-facing scenarios, turning real-world feedback into tangible product improvements.

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