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Tech Stack
Tools & technologiesAWSCloudDockerGoKubernetes.NETPythonTerraformTypeScript
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- Extensive experience in software development, including strong hands-on experience building and operating distributed backend systems in production.
- Strong experience with .NET services.
- Practical knowledge of other languages including Go, Python and TypeScript.
- Expertise in containerization and orchestration, including Docker and Kubernetes or equivalent platforms.
- Experience in the backend development of database-driven applications and SaaS products.
- Strong experience with cloud architecture and services, preferably AWS - storage, orchestration, networking, load balancing, security and cost optimization.
- Knowledge of Infrastructure as Code, preferably Terraform.
- Strong DevOps and platform engineering experience, including CI/CD, deployment automation, infrastructure automation and production operations.
- Experience designing systems that are observable, debuggable, secure, resilient and maintainable under production load.
- Ability to lead across teams, bring clarity to ambiguous technical problems and align stakeholders around practical solutions.
Benefits
Comp & perks- Generous remuneration package
- Employee Stock Purchase Plan Enrollment
- Family, and Health
- 30 days paid annual vacation
- An extra day off for your birthday
- 2 additional days off for volunteering
- Premium healthcare and dental care coverage
- Additional pension insurance
- Well-equipped gym on-site with CrossFit equipment and a climbing wall
- Co-funded Multisport card
- Flexible working hours and the opportunity to work from home.
- Free underground parking with a designated space for bikes and electric scooters
ATS Keywords
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Hard Skills & Tools
.NETGoPythonTypeScriptDockerKubernetesAWSTerraformCI/CDInfrastructure as Code
Soft Skills
technical leadershipmentoringcollaborationproblem-solvingclarity in communicationstakeholder alignmentagile process adherenceevaluation practicesdesign reviewengineering standards