Why This Job is Featured on The SaaS Jobs
Platform engineering sits at the center of modern SaaS delivery, translating product ambition into reliable, repeatable ways to ship. This Senior Platform Engineer role stands out because it is oriented around developer enablement and operational leverage, with explicit emphasis on automation, resilience, and observability rather than simple infrastructure upkeep. The mention of large data sets and evolving incident response suggests a SaaS environment where platform choices directly affect customer experience and internal velocity.
For a long-term SaaS career, this kind of work builds durable strengths: designing paved-road patterns, reducing toil through infrastructure-as-code, and shaping how teams instrument and learn from production systems. Experience moving from alerting to deeper introspection is especially transferable across SaaS companies where product reliability and iteration speed are tightly linked. The role also implies cross-functional influence, partnering with product teams and setting standards that scale beyond a single service.
This position is best suited to an engineer who prefers high-agency problem solving and treats repetition as an engineering defect. It will fit someone comfortable balancing hands-on tooling in Python, Linux, Terraform, and cloud services with the interpersonal work of advocacy and consensus-building. Candidates who enjoy improving systems through post-incident learning, not just fixes, should find the mandate clear.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Jellyfish is rewriting the manual on how high-performing engineering teams actually work. We don't just provide data; we provide the blueprint for effective communication and development.
We are looking for a Senior Platform Engineer who views "manual effort" as a bug. You aren't here to just watch dashboards - you’re here to build the pavement as the jet is taking off. We’re scaling fast, dealing with massive data sets, and we need someone who is obsessed with performance, resilience, and the art of reducing toil.
What you’ll actually be doing:
Engineering the Platform: You’ll work hand-in-hand with product teams to lay the infrastructural groundwork for new apps. If it’s repetitive, you’ll automate it. If it’s fragile, you’ll harden it.
Killing Toil: You’ll identify the "friction points" in our dev lifecycle and build the Terraform modules or Python tooling to make them disappear.
Architectural Advocacy: You aren't a gatekeeper; you’re an enabler. You’ll champion sound software design and "paved road" patterns that allow devs to move fast without breaking things.
Observability over Monitoring: Moving us beyond simple alerts to deep introspection. You’ll help us use tools like Honeycomb and Grafana to understand why things happen, not just that they happened.
High-Agency Incident Response: You’ll help us evolve our incident remediation from "fixing the fire" to "learning from the heat," driving a culture of blameless retrospectives and systemic improvements.
You’re a great fit if:
Python & Linux are your native tongues. You’re comfortable writing clean, testable code to manage infrastructure.
Terraform is your go-to for "Source of Truth." You have strong opinions on how to structure state and modules at scale.
You hate doing the same thing twice. You’d rather spend four hours automating a task than ten minutes doing it manually every week.
You’re a "Trailblazer." You enjoy being the first one to dive into a new AWS service or observability tool to figure out how it fits our stack.
You lead by influence. You prefer building consensus and "teaching others to fish" over rigid process controls.
You balance the "How" with the "Why." You understand that a perfect technical solution is only perfect if it solves a real business need.
Bonus Points:
You’ve survived (and thrived in) a rapidly scaling startup.
You have strong opinions on the future of developer experience (DevEx).
You’ve managed complex data environments (like Databricks or massive RDS clusters) and lived to tell the tale.
A list of job experiences and qualification requirements is great, but humility, a performance-driven attitude, and a team-player approach are most important to us. We love to have fun and win in the process. We only hire people who have a passion for building great companies in an environment where a sense of humor is a must.
Occasional travel may be required.
Applicants must be authorized to work for any employer in the US. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Let’s talk about us!
This is all about you, but you want to know a little about us. Jellyfish enables leaders to effectively build AI-integrated engineering teams, align engineering decisions with business initiatives and deliver the right software efficiently and on time. AI tools alone won’t transform your org—Jellyfish shows you what’s working, what’s not, and how to build high-performing teams that know how to use AI the right way.
