SRE Engineer

• Proficient in application development skills for more than one technology as well as multiple design techniques.
• Working proficiency in development toolset to design, develop, test, deploy, maintain and improve software.
• Strong understanding of Agile methodologies with ability to work in at least one of the common frameworks.
• Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, application resiliency and security.
• Proficiency in one or more general purpose programming languages.
• Working proficiency in a portion of software engineering disciplines and demonstrates understanding of overall software skills including business analysis, development, testing, deployment, maintenance and improvement of software.

Roles and Responsibilities:

• Working proficiency in developmental toolsets
• Knowledge and experience working in an Agile environment
• Familiar with development tools such as Jenkins, Git/BitBucket, Jira, etc.
• Knowledge of application, data and infrastructure architecture disciplines
• 5 plus years of experience with server based Operating Systems such as Windows 2016/2019 (Red Hat Linux/Unix a plus)
• 5 plus years with database systems such as Oracle and SQL Server
• Practical working experience with highavailability (clusters, failover) and networking (latency, load balancing, firewall) concepts
• Knowledge of data architecture, data modeling, database design and data warehousing.
• Expertise in at least one technology stack designing, coding, testing, and delivering software
• Experience with reporting, business Intelligence and visualization tools (i.e. Tableau, PowerBI, Cognos, etc.)
• Experience with functional, user acceptance and performance testing.
• Ability to quickly develop subject matter expertise and working knowledge of business processes; i.e., the ability to understand ‘the business’ and the impact of technology solutions
• Experience working with thirdparty applications and integrations
• Familiarity with observability practices such as white and black box monitoring, service level objective alerting, and telemetry collection using tools like Grafana, Dynatrace, Prometheus, Datadog and Splunk.
• Recognize and eliminate toil through systems engineering or automation, and implement observability patterns to improve service level indicators, objectives monitoring, and alerting solutions.