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# Senior Platform Engineer

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/saas-group.md)ShareRemote from[Europe](https://jobicy.com/job-region/europe.md)SalaryUndisclosedDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceSeniorPublished22 Oct 2026Apply before21 Nov 2026Listing views28Application actions0Application 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.

This senior Platform Engineer role owns infrastructure modernization and platform enablement for multiple B2B SaaS brands. The engineer will establish repeatable standards for infrastructure as code, CI/CD, observability, backups, reliability, and cloud-cost optimization. The position requires hands-on cloud and Terraform expertise alongside the ability to advise CTOs and engineering leaders on architectural trade-offs. It also involves incident-response practices, application-level troubleshooting, and participation in a lightweight on-call rotation. Success depends on autonomous delivery, clear stakeholder communication, and daily practical use of AI coding tools for infrastructure work.

## 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 insightThe role combines senior-level cloud engineering with consulting across varied SaaS environments, requiring the candidate to assess, influence, and implement modernization plans independently. Technical breadth, ownership of reliability outcomes, and stakeholder-facing architecture decisions make it highly demanding.

## Salary analysis

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

Estimated job median (per year)Market rate$145,000US market range (per year)$120k–$175k0$192.50k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation amount is disclosed. Estimated annual market compensation is shown in USD for a senior platform/cloud engineering role; this is an AI estimate and not an employer-provided range.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Cloud engineering](https://jobicy.com/jobs?search_keywords=Cloud%20engineering.md)[Platform engineering](https://jobicy.com/jobs?search_keywords=Platform%20engineering.md)[DevOps](https://jobicy.com/jobs?search_keywords=DevOps.md)[Site reliability engineering](https://jobicy.com/jobs?search_keywords=Site%20reliability%20engineering.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)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[Infrastructure as Code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20Code.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[Incident response](https://jobicy.com/jobs?search_keywords=Incident%20response.md)[Containerization](https://jobicy.com/jobs?search_keywords=Containerization.md)[Cloud cost optimization](https://jobicy.com/jobs?search_keywords=Cloud%20cost%20optimization.md)[AI coding tools](https://jobicy.com/jobs?search_keywords=AI%20coding%20tools.md)

Sample interview questionsHow would you assess a newly acquired SaaS brand and create a platform-modernization roadmap?I would begin with a short discovery phase covering cloud architecture, deployment flow, access controls, observability, backup and recovery, reliability risks, and cloud spend. I would baseline the current state with measurable indicators, prioritize the highest-risk and highest-leverage improvements, and agree on a staged roadmap with the brand's technical leadership. I would document trade-offs, owners, success measures, and dependencies so progress remains transparent.

Describe how you would standardize CI/CD across teams with different technology stacks.

I would define common delivery principles first: reproducible builds, automated tests, security checks, artifact traceability, environment promotion, rollback capability, and observable deployments. Then I would provide reusable templates and shared components that can be adapted to each stack rather than forcing identical pipelines everywhere. Adoption should be incremental, supported by documentation, pairing, and metrics such as deployment frequency, lead time, and change-failure rate.

What does effective observability look like for a SaaS application?

Effective observability connects customer-facing service objectives to actionable telemetry. I would establish structured logs, key infrastructure and application metrics, distributed traces where useful, meaningful alerts, and SLO-aligned dashboards for availability, latency, errors, and saturation. Alerts should identify genuine user impact and include enough context for responders to diagnose issues quickly.

How would you approach a cloud-cost optimization project without reducing reliability?

I would first establish a cost baseline by service, environment, workload, and owner, then identify waste, idle capacity, overprovisioning, inefficient storage, and architectural hotspots. Each change would be evaluated against performance and reliability requirements, tested safely, and measured after implementation. I would favor sustainable controls such as tagging, budgets, rightsizing reviews, autoscaling, lifecycle policies, and cost-aware architectural standards.

How do you use AI coding tools responsibly in infrastructure and incident work?

I use AI tools to accelerate drafting Terraform, scripts, runbooks, test cases, and diagnostic hypotheses, while retaining engineering accountability for validation. Generated changes should be reviewed, tested in appropriate environments, security-checked, and aligned with existing standards before deployment. I also coach teams to avoid placing secrets or sensitive production data into tools and to treat AI output as an assistive starting point rather than authoritative advice.

Opportunity details

## About this role.

This role is part of our Central Platform Engineering Team at saas.group.

### What is saas.group?

Think of us as the driving catalyst behind your favorite software success stories. saas.group, established in 2017, is on a mission to turbocharge promising B2B SaaS ventures, unlocking their full potential. As a Software-as-a-Service portfolio powerhouse, we specialize in acquiring small software treasures and polishing them into industry stars. With a dynamic, fully remote team of nearly 350+ colleagues spanning 50+ countries we are truly global and we are rewriting the playbook on SaaS innovation and collaboration. We grow [23 exciting brands](https://saas.group/family/) under our umbrella. Feel free to explore our [Candidate’s Hub](https://saas.group/candidate-hub/) to get an insider’s view, dive into our culture, gain valuable insights into our teams and how we work.

Also, don’t forget to follow [saas.group on LinkedIn](https://www.linkedin.com/company/saas-group/) to stay up-to-date on our job openings, podcast episodes, and with all things happening at our company.

### Profile Overview

Our Platform Engineering team runs central infrastructure services and partners with brands to modernize their stacks. The mission: provide a “paved road” of opinionated best practices (observability, backups, CI/CD, infra as code) that brands can adopt quickly, and support hands-on migrations when needed.

You’ll own outcomes for a set of brands: assess where they are, recommend what “good” looks like, and implement the plan. The role blends architecture, enablement, and practical engineering. It’s senior and autonomous: you’ll advise and sometimes convince stakeholders, then deliver.

Your immediate impact in the first 3-6 months will be:

* Complete central onboarding by pairing with a team member for ~2 weeks to learn our patterns and tooling, then start managing the brands assigned to you.
* Lead the onboarding of at least one brand to our “paved road” standards (GitHub org, CI/CD, monitoring/observability, IaC), with positive feedback from brand leadership and our team.
* Deliver one or more migrations/refactors (e.g., CI/CD, infra modernization, cost/availability improvements) and document decisions so others can build on them.

### Your responsibilities

* Lead infrastructure projects for assigned brands: migrations, performance & reliability improvements, incident response practices, containerization, and cloud cost optimizations.
* Establish/upgrade CI/CD, infra as code, monitoring, alerting, and SLO-aligned dashboards; baseline and improve reliability with data.
* Advise brand CTOs/engineering leads on trade-offs and architecture; justify decisions with clear reasoning and measurable outcomes.
* Contribute to and consume central services (e.g., observability, backups) so brands don’t reinvent the wheel.
* Collaborate with developers as part of the product team during engagements; troubleshoot across app and infra boundaries.
* Bring AI into the paved road itself: use tools like Claude Code or Codex daily to speed up IaC, scripting, and incident diagnosis, and help brand teams pick up the same habits in their own workflows.
* Participate in an on-call rotation (lightweight today; scaling toward a fair, shared model).

### What You bring to the table

* 5+ years of experience in Platform or Cloud Engineering, DevOps, or Site Reliability Engineering roles, operating at a senior level with strong ownership and autonomy.
* Deep expertise in at least one major cloud provider (AWS, GCP, or Azure) and practical experience with Infrastructure as Code (ideally Terraform).
* Solid understanding of CI/CD concepts and best practices; able to assess, design, and modernize pipelines across diverse brand environments.
* Experience with monitoring and observability tools (Datadog, New Relic, ELK, Prometheus, or similar) and sound judgment on what “good” looks like.
* Hands-on, daily use of AI coding tools (Claude Code, Codex, or similar) in real infra work, not just curiosity about them; comfortable coaching brand teams on how to use them well.
* A background in software development or the ability to read and debug application code.
* Excellent communication and consulting skills; confident in advising and influencing technical stakeholders while adapting to different teams and tech stacks.

### What’s in it for You

* Ultimate flexibility: We’re 100% remote. You can work from wherever you like, whenever you like.
* Freedom and autonomy: We’re a high-trust team, and you’ll be given lots of flexibility to solve problems in your own way — with plenty of help from the team when you need it.
* Minimum bureaucracy: We don’t like to get bogged down with meetings and red tape. We like to be efficient and keep momentum steady & sustainable.
* Small & friendly team: We help each other out, have fun, and joke around.
* Our network: We are a community of entrepreneurial SaaS professionals that regularly exchange ideas, knowledge, learning and expertise with each other internally.
* Flexible time off: We want you to recharge your batteries when needed.

We don’t just simply offer you to “take a job with us” but rather to “join us on this journey” to build the world’s largest platform of independent SaaS companies.

Sounds like something you’re up for? Feel free to apply even if you don’t check all these boxes. We believe in the power of diversity and fresh perspectives to spice up our team. Your application might just be the missing ingredient!

—

saas.group is committed to creating a diverse and inclusive workplace. We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you’re passionate about working with a team that values innovation, excellence, and fairness, we encourage you to apply.

We believe in fair and transparent pay. Salary ranges at saas.group are location-adjusted, targeting local market medians for a remote-first environment, and will be shared with our potential future employees in writing before your first interview – so you have everything you need to evaluate the opportunity.

Show more

[Apply now >](https://jobicy.com/jobs/156306-senior-platform-engineer-6.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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