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Our client is a well-established U.S. based SaaS company that provides property management software for residential real estate professionals. Their platform is used by thousands of property managers to handle leasing, maintenance, payments, accounting, and communication all in one system.
The engineering team is product-driven and mission-focused, with a strong culture of quality, automation, and continuous improvement. The company operates in a mature cloud environment, primarily on AWS, and follows modern engineering practices including microservices, CI/CD, infrastructure as code, and observability-first operations.
You’ll be joining a cross-functional engineering team focused on platform scalability and developer enablement. This team plays a critical role in ensuring the performance, reliability, and productivity of the broader engineering organization by improving system performance, optimizing delivery pipelines, and enhancing internal developer tools.
Your work will directly support the company’s ability to scale its platform, reduce time-to-market, and maintain a high-quality experience for both end users and developers.
Identify and resolve performance bottlenecks across services, delivery pipelines, and developer workflows to ensure speed, reliability, and scalability
Improve the developer experience by designing and evolving internal tools, frameworks, and CI/CD workflows that increase team efficiency and reduce friction
Use Infrastructure as Code (Terraform, CDKTF) to manage and automate CI/CD environments and developer tooling
Maintain and evolve automated delivery pipelines using tools like GitHub Actions to support smooth, secure deployments
Implement and maintain observability and monitoring systems (e.g. Prometheus, Grafana, Elastic) to detect and resolve system performance issues proactively
Define and track SLIs/SLOs to ensure operational excellence and service reliability
Build automation to reduce manual effort and increase the repeatability of engineering processes
Participate in on-call rotations and support incident response to maintain platform reliability
Collaborate with product and engineering teams to deliver scalable solutions and promote cross-team alignment
Mentor peers and contribute to internal knowledge sharing through documentation, design reviews, and technical discussions
6+ years of experience in software engineering, platform engineering, or DevOps, with a strong focus on performance optimization and developer enablement
Proficiency in at least one modern programming language (e.g. Python, Go, Java, or JavaScript) and a solid understanding of software design principles
Hands-on experience designing, maintaining, and improving CI/CD pipelines using tools such as GitHub Actions, Jenkins, or GitLab CI
Practical experience with Infrastructure as Code tools like Terraform or CDKTF, used to support automation and developer environments
Strong familiarity with cloud platforms such as AWS, GCP, or Azure, especially in the context of scalable and observable systems
Experience implementing and using monitoring and observability tools (e.g. Prometheus, Grafana, Elastic) to drive performance insights and incident response
Understanding of SLIs/SLOs, system health metrics, and proactive system reliability practices
A mindset for automation, efficiency, and continuous improvement, with the ability to reduce manual work through tooling and scripting
Strong communication and collaboration skills, including experience mentoring engineers and participating in technical reviews
Comfortable working in cross-functional teams and taking ownership of platform-wide initiatives
Experience with Docker, Kubernetes, or cloud-native architecture
Familiarity with networking, distributed systems, and performance tuning
Exposure to profiling tools or APM solutions for system analysis
Background in building internal developer tools or platform services
Contributions to open-source or internal engineering initiatives
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