Zartis - Principal DevOps Engineer
Requirements
• Prior experience building agentic platforms or AI infrastructure at multi-team scale. • Familiarity with MCP (Model Context Protocol) integrations or equivalent agent tool gateway patterns. • Experience with multi-cloud or multi-stack platform engineering across distributed marketplace or e-commerce environments. • Exposure to cost governance tooling, token budgeting, or LLM observability platforms.
Responsibilities
• Build and operate secure agent runtimes with sandboxing, runtime isolation, network policies, secrets management, RBAC, and approval flows that make agents a credible part of the infrastructure. • Design and maintain the integration surface with MCP-style adapters and gateways that let agents act on source control, CI/CD, ticketing, documentation, cloud, and observability systems across all marketplace teams. • Build and own the evaluation pipeline with golden tasks, graders, regression tests, and release gates that make agentic workflow correctness measurable and cheap enough that teams actually use it. • Implement observability and cost control including traces, telemetry, token usage, cost-per-workflow, rate limits, and failure handling so stakeholders always know what is running, what it costs, and what to do when it breaks. • Create reusable scaffolding including templates, starter kits, wrapper scripts, and workflow automation that turn proven patterns from marketplace pilots into platform components every team can adopt in a day. • Partner with the AI Architect to make the reference architecture real, in code, in production, on a schedule that does not slip. • A track record of shipping internal developer platforms or developer tooling that real teams depend on, with users, SLAs, and on-call rotations, not just side projects. • Hands-on experience designing and operating secure execution environments including sandboxing, runtime isolation, RBAC, secrets, and audit logging at production scale. • A history of shipping integrations across source control, CI/CD, ticketing, documentation, cloud, and observability systems across polyglot estates. • Experience building or operating tool gateways, adapters, or MCP-style integrations for agents and an understanding of the new failure modes they introduce. • An instrumentation-first mindset where traces, telemetry, cost-per-workflow, and eval pipelines are standard practice, not afterthoughts. • An SRE mindset where reliability, rollback, rate limiting, graceful degradation, and cost control are first-class concerns from day one. • A record of shipping reusable templates and starter kits that teams actually adopt rather than internal frameworks that gather dust. • Comfort across modern infrastructure including containers, cloud (AWS or equivalent), IaC, CI/CD, APIs, and scripting languages. • Experience supporting many engineers or multiple teams as internal customers, balancing opinionated defaults with inevitable special cases. • The ability to collaborate closely with security, legal, and risk stakeholders without losing momentum.
Benefits
• 100% Remote Work • WFH allowance: Monthly payment as financial support for remote working. • Career Growth: We have established a career development program accessible for all employees with a 360º feedback that will help us to guide you in your career progression. • Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events. • Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both. • Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well. • Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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