[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)

# Senior Software Engineer, Platform

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 105k–175k / yrDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceSeniorPublished21 Oct 2026Apply before20 Nov 2026Listing views29Application actions3Application 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 senior platform engineer to design, build, test, and deploy production infrastructure for its cloud DataOps products. The role centers on high-scale PaaS reliability, delivery automation, observability, and operational practices for Apache Airflow-based systems. The engineer will make architecture decisions, collaborate across distributed teams, document systems, and participate in periodic on-call support. Strong hands-on expertise in Python, Go, Kubernetes, CI/CD, cloud platforms, and SLI/SLO-driven reliability is essential.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThis is a senior infrastructure role involving production systems at scale, cross-company technical standards, and periodic on-call ownership. It requires deep Kubernetes, cloud, observability, and software delivery expertise while safely evolving live systems.

## Salary analysis

Estimated compensation compared with the broader EU market for similar roles.

Estimated job median (per year)Highly competitive€140,000EU market range (per year)€110k–€170k0€187.00k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Employer total compensation is €105,000–€175,000 per year, with a midpoint of €140,000. The annual period is inferred from the stated range, seniority, full-time status, and Irish market context because the posting does not explicitly specify a cadence. Estimated annual market compensation for a comparable senior platform engineer in Ireland is €110,000–€170,000; this is an AI estimate, not verified salary research.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Platform Engineering](https://jobicy.com/jobs?search_keywords=Platform%20Engineering.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Go](https://jobicy.com/jobs?search_keywords=Go.md)[Cloud Infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20Infrastructure.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[SLI/SLO](https://jobicy.com/jobs?search_keywords=SLISLO.md)[Site Reliability Engineering](https://jobicy.com/jobs?search_keywords=Site%20Reliability%20Engineering.md)[Incident Management](https://jobicy.com/jobs?search_keywords=Incident%20Management.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)[Apache Airflow](https://jobicy.com/jobs?search_keywords=Apache%20Airflow.md)[Infrastructure Automation](https://jobicy.com/jobs?search_keywords=Infrastructure%20Automation.md)

Sample interview questionsHow would you define and implement SLIs and SLOs for a multi-tenant data orchestration platform?I would begin with user-facing reliability goals such as successful workflow execution, scheduling latency, API availability, and recovery time. I would define measurable SLIs from telemetry, set SLOs with product and engineering stakeholders, create error budgets, and use those budgets to balance feature work with reliability improvements.

Describe how you would safely migrate a critical production platform component without interrupting customers.

I would assess dependencies and failure modes, define rollback criteria, and validate the change through automated tests and representative staging environments. I would use phased deployment methods such as canaries or feature flags, monitor agreed health signals during rollout, communicate clearly with stakeholders, and retain a rehearsed rollback path.

What practices would you use to reduce toil in a Kubernetes-based platform?

I would identify repetitive operational work through incident reviews and support patterns, then prioritize automation with the highest reliability impact. Typical improvements include self-service deployment workflows, infrastructure-as-code, automated remediation for known conditions, standardized dashboards, and clear runbooks.

How do you approach an incident when symptoms span application code, Kubernetes, and a cloud provider?

I first establish impact, scope, and current mitigation while assigning clear incident roles. I use logs, metrics, traces, recent change history, and dependency health to test hypotheses across layers, communicate updates on a regular cadence, and follow with a blameless review that produces specific preventative actions.

How would you collaborate on platform standards with product engineers who have different delivery priorities?

I would frame standards in terms of developer productivity, reliability outcomes, and concrete risk reduction rather than platform preference. I would involve teams early, provide reusable paved-road tooling and documentation, gather feedback, and adopt standards incrementally with measurable success criteria.

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:

At Astronomer, we’re redefining how companies run Apache Airflow at scale. Our R&D organization is home to some of the most innovative minds in cloud infrastructure and open-source software. We’re looking for a Senior Software Engineer to join our Platform Engineering team. You get to go in at the ground level of how our production infrastructure is designed, built, tested and deployed. Your work will directly influence how we build Astro, Observe and our IDE product, as well as how global organizations orchestrate data pipelines at scale—making them faster, more reliable, and easier to manage. If you’re driven by impact, excited by scale, and ready to work on the kind of infrastructure challenges that push the boundaries of what’s possible in cloud-native systems, this is the opportunity you’ve been waiting for.

### What you get to do:

*

Make high-quality, data-driven and experience-driven decisions on how we build this and the next generation of our production platform, then deliver the results.

Own and build how we test, build and deploy code in a high-scale PaaS environment.

*

Collaborate across the whole company on how we design production systems, set standards and make technology choices for new and existing products, and how these fit together.

*

Deliver results – we routinely “change the wheels on the bus while it’s moving”, in a predictable, safe and reliable way.

*

Be at the forefront of how we work together as a Platform Engineering team.

Blaze a Trail: Work on a small but growing team on building out the Platform/Reliability practice for the company

*

Be an Owner: Be directly involved in decision-making on what we work on, as well as how we work on it. Make promises, and keep them.

*

Do Sensible Things: Be directly involved in determining how our platform works. Participate in incident management and determine sensible practices as the platform evolves.

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Garage Door Open: Create and maintain comprehensive internal documentation for systems and processes, ensuring clarity and accessibility.

### What you bring to the role:

*

Strong experience in [Non-Abstract Systems design](https://sre.google/workbook/non-abstract-design/) and implementation.

*

Strong proficiency in Python, Golang and in-depth experience with Kubernetes (CKA or equivalent or greater).

*

Experience with observability principles and technologies, including SLI/SLO definition and tracking.

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Strong communication skills, both written and verbal, with experience in working with a globally distributed team in delivery.

*

A passion for reliability and operational excellence. A low tolerance for toil and other nonsense.

*

Ability to estimate the scope of work accurately and coordinate with stakeholders to address risks and ensure successful project delivery.

*

Experience with (and ideally strong opinions on) software development best practices, such as code review, testing, CI/CD, version control, automation and debugging.

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Proactive approach to identifying and addressing issues, with a focus on ownership and accountability.

### Bonus points if you have:

*

Experience working on a SaaS/PaaS product across multiple cloud providers.

*

Experience with our particular tech stack components and technologies (deep breath): CircleCI, Chronosphere (Prometheus), Splunk, Bazel, Istio, Playwright, Karpenter, Github [Actions] …

*

Experience of the innards and quirks of AWS, GCP and (particularly) Azure.

*

Participated in an on-call rotation – this role involves periodic on-call for the services we own.

*

Experience with Apache Airflow.

The estimated total compensation for this role ranges from €105,000 – €175,000 based on leveling and geography, along with an equity component and a comprehensive benefits package. This range is merely an estimate; actual compensation may deviate from this range based on skills, experience, and qualifications.

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.

Show more

[Apply now >](https://jobicy.com/jobs/156187-senior-software-engineer-platform-3.md)

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