Why This Job is Featured on The SaaS Jobs
Platform reliability and operational automation sit at the center of modern SaaS delivery, and this Platform Engineer I (SRE) role reflects that reality. The remit spans the practical mechanics of keeping a global, always-on service dependable, from observability and incident response to infrastructure and security automation. In a product-led SaaS environment, that combination is a strong indicator that platform engineering is treated as a core capability rather than a back-office function.
For a long-term SaaS career, the work described builds durable leverage. Experience reducing operational toil through code, shaping self-service platform components, and improving monitoring signal quality translates across most subscription software businesses. Exposure to SLO thinking, post-incident learning loops, and CI/CD driven change management also maps directly to how SaaS teams scale reliability without scaling headcount at the same rate.
This role tends to suit early-career engineers who want their impact to show up in system behavior, not just feature output. It favors people comfortable collaborating across development, QA, and platform stakeholders, and those who can balance planned automation with the realities of on-call and production support. An interest in Kubernetes, cloud primitives, and pragmatic tooling will align well with the day-to-day.
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
Application and Interview Impersonation Notice: Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with Precisely Software Incorporated (“Precisely”) is unlawful. If Precisely identifies such fraudulent conduct, then as applicable and to the extent permitted by law, the application will be rejected, an offer (if made) will be rescinded, or the employment will be terminated, and legal action may be taken against the impersonators.
Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!
Overview:
We are looking for a Platform Engineer who will work with senior management, Platform Engineering, QA and development teams to continuously improve the stability, reliability and efficiency of our global SaaS platform through automation solutions and platform tools. This individual will contribute to building the software, automation frameworks, and systems that make our production environment more resilient, enable self-service capabilities, and reduce operational toil through code.
What you will do:
- Contribute to automation tools and platform capabilities using Go, Python, or similar languages to help eliminate manual toil and build self-service components across infrastructure, observability, reliability, and security domains.
- Support automation frameworks for incident response, infrastructure testing, monitoring optimization, and compliance validation including CI/CD pipeline enhancements.
- Help develop observability and monitoring solutions including setting up alerts, contributing to noise reduction systems, automated SLO management, and cost optimization.
- Partner closely with SaaS Engineering to deploy application and infrastructure updates using automation tools.
- Available for on-call duties for incident response, blameless postmortems, and helping translate learnings into automated solutions.
- Contribute to build playbook documentation and procedures.
What we are looking for:
- 3-4 years of experience in software development, SRE, DevOps, or systems administration in a production environment.
- Programming or scripting experience in Go/ Python/ Bash or similar languages with strong knowledge of Linux fundamentals and experience writing automation scripts or building tools.
- Familiarity with Kubernetes, container technologies, AWS/GCP/Azure, Infrastructure as Code tools (Terraform/CloudFormation/Ansible), Git, and basic CI/CD concepts.
- Understanding of APIs, microservices, and distributed systems concepts.
- Understanding of SRE principles, SaaS service management, and 24x7 production environment operations.
- Experience contributing to automation projects, internal tools, or monitoring implementations (i.e. Datadog, Prometheus, Grafana, Backstage) is a plus.
- Experience with Kubernetes operators, controllers, or orchestration concepts is a plus.
- FedRAMP, SOC2, or compliance framework exposure is a plus.
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