About this role.
saas.group is seeking a Senior Platform Engineer to join its Central Platform Engineering Team, which provides a 'paved road' of best practices for its portfolio of B2B SaaS brands. This highly autonomous role involves assessing brand infrastructure, leading migrations, and modernizing CI/CD, observability, and infrastructure as code. You will advise CTOs and engineering leads, collaborate with product teams, and champion the daily use of AI coding tools like Claude Code or Codex. The position requires 5+ years of senior cloud/platform engineering experience and blends architecture, enablement, and hands-on delivery.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
4/5Pace & Pressure
4/5Autonomy Level
5/5Communication Load
4/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Cover letter sample
Dear Hiring Manager,
I am excited to apply for the Senior Platform Engineer position at saas.group. With over five years of experience in cloud engineering and infrastructure, I have successfully led complex migrations, modernized CI/CD pipelines, and implemented observability strategies for SaaS products. My expertise in Terraform and major cloud providers like AWS aligns well with your goal of providing a 'paved road' for your brands.
I am particularly drawn to the autonomous yet collaborative nature of this role. I thrive when advising engineering leaders on trade-offs and delivering measurable improvements, whether through cost optimization or reliability enhancements. I also embrace AI coding tools like Claude Code in my daily workflow and enjoy coaching teams to adopt them effectively.
I am eager to help saas.group scale its platform engineering impact across your portfolio and look forward to contributing from day one. Thank you for your consideration.
Sincerely,
[Your Name]
Sample interview questions
I led a migration of a monolithic application to Kubernetes on AWS. I first conducted a thorough assessment of dependencies and traffic patterns, then created a phased migration plan with rollback strategies. I worked closely with the development team to containerize the app, set up CI/CD pipelines, and gradually shifted traffic while monitoring error rates and latency. Regular communication with stakeholders and clear documentation were key to a smooth transition.
I would start by understanding their current pain points and constraints. I would present data-driven arguments, such as how observability improves MTTR or how IaC reduces deployment errors, using concrete examples from other brands. I'd offer to pilot the solution on a small, low-risk project to demonstrate value, and involve their engineers in the process to build buy-in. Ultimately, I'd frame the recommendations as enabling their team, not adding overhead.
I use AI tools daily for generating Terraform modules, writing scripts, and debugging logs. For example, I use Claude Code to draft boilerplate IaC, then manually review and test it in a sandbox environment. I always validate AI-generated code against best practices, run linting and security scans, and maintain a clear understanding of what the code does. I also encourage teams to treat AI as a pair programmer, not a substitute for expertise.
I would start by assessing the current architecture and identifying critical data and compliance requirements. I'd implement automated backups with encryption at rest and in transit, using object storage with versioning and retention policies. For security, I'd enable least-privilege IAM roles, enforce MFA, and set up centralized logging and alerting. I'd also introduce secure secrets management and regularly test restore procedures to ensure data integrity.
I prioritize metrics based on user impact, starting with availability, latency, and error rate. I define SLOs using a burn-rate approach, then build dashboards in tools like Datadog or Grafana that show SLI trends against targets. I also track saturation metrics like CPU and memory usage to predict capacity issues. Once data is visible, I use error budget policies to guide teams on when to focus on reliability versus features, fostering a data-driven culture.
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 under our umbrella. Feel free to explore our Candidate’s 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 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.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.






