Why This Job is Featured on The SaaS Jobs
Why this Role is Featured on The SaaS Jobs
Infrastructure roles are increasingly central in SaaS companies building AI-native platforms, where uptime and latency directly shape product credibility. This position sits in that intersection, supporting an enterprise-facing, cloud-delivered system that must be reliable under variable workloads and high customer expectations. The remit spans availability, performance, and operational maturity, which are core differentiators for SaaS vendors selling into larger organisations.
For a long-term SaaS career, the work maps closely to the skills that compound across companies: designing for scale on public cloud, codifying infrastructure with automation, and using SLOs and error budgets to align engineering decisions with customer impact. Ownership of observability and incident response also builds the operational judgement that becomes valuable when moving into platform leadership, SRE management, or broader architecture roles within subscription businesses.
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
🚀 About WRITER
WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.
Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.
📐 About the role
At WRITER, our mission to expand human capacity with superintelligence relies on a foundational truth: our platform must be available, performant, and reliable, 24/7. As an Infrastructure engineer, you'll be at the heart of making this a reality, impacting every enterprise customer who trusts us with their AI-powered workflows. This isn't just about keeping the lights on; it's about pushing the boundaries of what's possible, proactively identifying and solving complex systemic challenges, and laying the groundwork for our rapid growth and the evolving demands of enterprise generative AI. You'll build resilient systems, automate across the stack, and champion reliability best practices, directly enabling our ambitious product roadmap and ensuring our customers always have access to the powerful tools they need.
This is a hybrid position, based out of our New York City or London hubs. You'll report to our director of engineering.
🦸🏻♀️ What you'll do
Automate operational tasks and infrastructure management by developing robust tools and platforms using Python, Go, or similar languages, significantly reducing manual toil across our production environment
Design and implement scalable, fault-tolerant infrastructure solutions on public cloud providers (AWS, GCP, Azure) to support WRITER's rapidly expanding, high-traffic AI platform
Own the reliability, performance, and efficiency of WRITER’s core services, defining and upholding stringent Service Level Objectives (SLOs) and Error Budgets
Own the observability stack for monitoring, logging, and alerting systems to ensure rapid detection of issues across our complex distributed systems
Lead incident response, post-mortems, and root cause analyses, applying learnings to proactively prevent future outages and build a more resilient system architecture
Collaborate closely with product and engineering teams, providing expert guidance on system design for reliability, performance, and scalability from conception through launch
⭐️ What you need
A solid 7+ years of experience in infrastructure engineering, DevOps, or a similar role focused on building and operating large-scale, high-availability production systems
Deep expertise with cloud platforms (AWS strongly preferred), containerization technologies like Docker and Kubernetes, and Infrastructure-as-Code tools such as Terraform
Strong proficiency in programming languages such as Python, Java, Go for automation and monitoring
Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) to maintain system health and performance
Demonstrated ability to Challenge the status quo, proactively identify systemic weaknesses, and propose innovative solutions to complex reliability problems
Excellent communication, collaboration, and problem-solving skills, with a talent for building strong relationships and Connecting with cross-functional teams
A strong sense of ownership and accountability, eager to Own mission-critical systems and drive them toward peak performance and unparalleled reliability
🍩 Benefits & perks (UK full-time employees):
Generous PTO, plus company holidays
Comprehensive medical and dental insurance
Paid parental leave for all parents (16 weeks)
Fertility and family planning support
Early-detection cancer testing through Galleri
Competitive pension scheme and company contribution
Annual work-life stipends for:
Wellness stipend for gym, massage/chiropractor, personal training, etc.
Learning and development stipend
Company-wide off-sites and team off-sites
Competitive compensation and company stock options
