[All remote jobs](https://jobicy.com/jobs.md)[![Astronomer logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/08/7a77cfb5b26b29196d5ed8cd14a3103a.jpg)](https://jobicy.com/company/astronomer.md)[Astronomer](https://jobicy.com/company/astronomer.md) # Staff Software Engineer, Platform Infrastructure Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/astronomer.md)ShareRemote from[Ireland](https://jobicy.com/job-region/ireland.md)SalaryEUR 140k–215k / yrDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceSeniorPublished21 Oct 2026Apply before20 Nov 2026Listing views37Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Astronomer is seeking a Staff-level engineer to define and build the foundational infrastructure for its multi-cloud DataOps platform. The role combines hands-on Go development with platform strategy, architecture decisions, operational maturity, and ownership of outcomes. The engineer will design resilient distributed systems, operate Kubernetes at scale, and evaluate infrastructure choices across AWS, GCP, and/or Azure. Strong written communication is essential for design records, postmortems, and alignment within a globally distributed engineering organization. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior technical leadership role involving production distributed systems, Kubernetes internals, multi-cloud tradeoffs, and consequential reliability decisions. The successful candidate must independently turn strategy into working systems while influencing organization-wide technology choices. ## Salary analysis Estimated compensation compared with the broader EU market for similar roles. Estimated job median (per year)Highly competitive€177,500EU market range (per year)€130k–€200k0€220.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses estimated total annual compensation of €140,000–€215,000; the yearly cadence is inferred from the senior full-time engineering context and compensation magnitude because no pay period is explicitly stated. The midpoint is €177,500 per year. Estimated annual market compensation for a comparable staff-level platform infrastructure engineer is €130,000–€200,000, excluding the uncertain value of equity and benefits. ## Core skills Skills and capabilities most closely associated with this opportunity. [Distributed systems](https://jobicy.com/jobs?search_keywords=Distributed%20systems.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Go](https://jobicy.com/jobs?search_keywords=Go.md)[Platform engineering](https://jobicy.com/jobs?search_keywords=Platform%20engineering.md)[Cloud infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20infrastructure.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[Microsoft Azure](https://jobicy.com/jobs?search_keywords=Microsoft%20Azure.md)[Multi-cloud architecture](https://jobicy.com/jobs?search_keywords=Multi-cloud%20architecture.md)[Reliability engineering](https://jobicy.com/jobs?search_keywords=Reliability%20engineering.md)[System design](https://jobicy.com/jobs?search_keywords=System%20design.md)[Incident postmortems](https://jobicy.com/jobs?search_keywords=Incident%20postmortems.md)[Technical strategy](https://jobicy.com/jobs?search_keywords=Technical%20strategy.md)[Infrastructure documentation](https://jobicy.com/jobs?search_keywords=Infrastructure%20documentation.md)[SaaS platforms](https://jobicy.com/jobs?search_keywords=SaaS%20platforms.md) Sample interview questionsDescribe a production distributed-system failure you investigated and the architectural changes you made afterward.A strong answer should explain the triggering condition, blast radius, observability signals, immediate mitigation, root cause, and durable changes. It should demonstrate practical reasoning about failure isolation, backpressure, retries, graceful degradation, and prevention of recurrence. What happens inside Kubernetes when a workload cannot be scheduled, and how would you diagnose it under load? A strong answer should cover scheduler predicates and priorities, node resources, taints and tolerations, affinity rules, quotas, pending Pod events, and cluster-autoscaler behavior. The candidate should describe using metrics, events, and control-plane signals to distinguish capacity, configuration, and control-loop issues. How would you decide between a relational database, an object store, and another storage primitive for a new platform capability? A strong answer should evaluate access patterns, consistency requirements, durability, latency, throughput, operational overhead, cost, recovery needs, and failure modes. It should include concrete trade-offs rather than selecting technology based on familiarity. Give an example of a multi-cloud decision you have made and explain how you evaluated the trade-offs. A strong answer should compare provider capabilities, portability needs, managed-service constraints, networking, identity, data residency, reliability, cost, and operational ownership. It should make clear how the decision was validated in production and revisited over time. How do you write a design document that leads to an effective engineering decision across multiple teams? A strong answer should describe framing the problem, documenting constraints and non-goals, presenting alternatives and trade-offs, identifying risks, gathering feedback, making a clear recommendation, and recording the final decision. It should also address how implementation and outcomes are communicated afterward. Opportunity details ## About this role. Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world’s leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit [www.astronomer.io](http://www.astronomer.io). ### About this role Astronomer’s products run on a complex, multi-cloud platform — and the scalability, and operational maturity of that platform is what we’re actively investing in. The work ahead on our Platform team isn’t about managing data or curating pipelines; it’s about building the foundational systems that everything else runs on — the kind of systems where the failure modes matter, the latency budgets are real, and getting it wrong has visible consequences for hundreds of enterprise customers. We’re looking for a Staff+-level engineer who has built production platform systems at scale before — not just consumed them. You’ve designed systems under load, reasoned carefully about failure, and made your colleagues’ lives better by giving them something solid and well-understood to build on top of. You write strategy documents and then write the code that proves them out. You’ve been the person who made the call, and lived with the consequences. This is a foundational role at a consequential moment: your work will directly shape what Astronomer’s products — Astro, Observe, and our IDE — are capable of over the next several years. ### What you get to do Astronomer has a healthy and complex infrastructure estate spanning multiple cloud providers, a mix of managed and self-hosted systems, and an increasingly ambitious set of requirements as our products evolve. We have a clear sense of where we need to go; we need the right person to figure out how to get there and then go build it. This is very much a technical role — you’ll be just as involved in building these systems as in specifying and designing them. We’re not looking for someone to write strategy documents; we’re looking for someone who writes the strategy and the code, and who has done exactly that before at scale. * Blaze a Trail: Own and develop our platform infrastructure strategy, with the sponsorship and responsibility to match. Map out what we need, make the calls, and own the outcomes. * Be an Owner: Be directly involved in deciding what we work on and how we work on it. Make promises, and keep them. * Do Sensible Things: Make principled build vs. buy assessments and advocate for the right tools for the right job — not the fashionable ones, not the ones already in the estate just because they’re there. * Garage Door Open: Create and maintain comprehensive internal documentation and decision records for systems and processes. Participate in architectural forums and make principled, open decisions that the rest of the organisation can learn from and hold us to. ### What you bring to the role * Distributed systems depth, grounded in practice. You have a solid working model of how production systems fail — consistency and availability tradeoffs, failure cascades, backpressure, graceful degradation. You can draw the diagram, explain the failure modes at each node, and make a reasoned argument for which ones actually matter in a given context. [NALSD](https://sre.google/workbook/non-abstract-design/) thinking is how you naturally approach a new system design. * Kubernetes at operator depth. You know what happens inside the scheduler and the control loop when things go wrong, because you’ve been there. You’ve operated clusters under real load, not just deployed workloads onto them. * Strong Go proficiency. The platform team writes production Go. You should be fluent: you’ve built and shipped systems in it, and you have opinions about what good Go looks like. * Multi-cloud experience, not just multi-cloud exposure. You’ve made considered architectural decisions across AWS, GCP, and/or Azure — not just consumed managed services, but evaluated tradeoffs between them and lived with those decisions in production. * Experience defining requirements and driving technology choices across an engineering organization. You’ve been the person in the room who frames the decision correctly, not just the one who executes it. * Strong written and verbal communication. You can write a design doc that changes minds, and a postmortem that makes the organisation smarter. You’ve worked effectively in a globally-distributed team. The estimated total compensation for this role ranges from €140,000 – €215,000, along with an equity component and a comprehensive benefits package. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications. ### Bonus points if you have * Experience with storage primitives at the system level — you’ve reasoned about when to reach for a relational store vs. an object store vs. something else, and you have real opinions informed by real failures. * Experience working on a SaaS/PaaS product across multiple cloud providers. * Familiarity with Apache Airflow or workflow orchestration systems. At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 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