Our client is the leading cloud-based platform provider for the mortgage finance industry. Their technology solutions enable lenders to originate more loans, reduce origination costs, and reduce the time to close, all while ensuring the highest levels of compliance, quality and efficiency.
You’re someone who is enjoys being directly accountable for the reliability of a business-critical, large- scale enterprise system. You’re comfortable guiding and making decisions with limited information and are capable of operating within the trade-offs present when solving for immediate needs versus solving with bigger scale solutions. You might be considered an authority in systems reliability and you feel rewarded by working to develop operability culture in a quickly growing and changing environment. You enjoy owning a wide and diverse set of problem areas and are willing to go out of your lane to affect change. You may have developed metrics, log aggregation or performance analysis systems in your career.
Does this sound like you? If it does, keep reading!
Our Site Reliability Engineering (SRE) team is an investment by Cloud to make “big-hammer”, impactful changes to our product that help us constantly run better, faster, and cheaper. This team centralizes the concerns of developing and providing measurements and guidance, so every engineer is able to improve availability and efficiency in their area of the cloud. SRE improves our customer experiences by ever-increasing availability and performance; reclaiming time spent by our engineers diagnosing issues or configuring software; reducing the total cost of owning and operating products and services. We have a cultural foundation built on diversity, inclusion and innovation .
Employ deep troubleshooting skills to improve the availability, performance, and security of Services.
Coding and Automation of Applications on Cloud Platform
Implement automated tests, automated deployments, and operational tools
Collaborate with Product and Support teams to plan and deploy product releases
Set Strategic and Operational goals for team, and work with team to deliver on goals.
Work with Cloud Platform and Operations leaders to develop narratives, backlog grooming, epic planning and overall sprint planning processes
Work with Engineering leadership to build shared services that meet the requirements and need of the platform and application teams
Ensure services are designed with 24/7 availability and operational readiness and rigor
Implementation of proactive monitoring, alerting, trend analysis and self-healing systems
Define non-functional requirements as part of the product lifecycle to influence the new designs, standards, and methods for scalable, highly available distributed systems
Contribute to product development / engineering as needed to ensure Quality of Service of Highly Available services
Identifies, evaluates and executes preventive measures to minimize/avoid impact to the customers experience. Proactive v/s Customer escalated
Resolution of product/service defects or design changes, infrastructure changes, or operational changes
Partner with other SREs and lead by example - contributor more than a delegater
10+ years of Systems/Applications automation in 24x7 Production Services environments
BS in Computer Science, Computer Engineering, Math, or equivalent professional experience
Fluency with one or more current generation scripting language (Python, Go, Java,PHP, Ruby)
Experience with SDLC process in Java and/or .NET based applications/services
Excellent troubleshooter, utilizing a systematic problem-solving approach
Demonstrated experience in designing, analyzing, and diagnosing large-scale distributed systems + Windows Server and/or Linux systems internals (system libraries, file systems, client-server protocols)
Experience with elastically scalable, fault tolerance and other cloud architecture patterns
Experience operating on AWS (both PaaS and IaaS offerings)
Experience in both Windows (2k8R2+) and Linux (centos) + Security triage & forensic analysis
Experience with Continuous Integration and Continuous Delivery concepts, including Infrastructure as code utilizing tools like Terraform, Cloudformation and Chef/SaltStack
Experience in Containerization concepts like Docker, and PaaS services on AWS.
Proven strength in SaaS services, experience in massive scale web operations
• BS in Computer Science, Computer Engineering, Math, or equivalent professional experience