Senior Software Engineer-Platform engineering/application support,Ansi

Required Qualifications:

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications

• 4+ years of software engineering experience
• 4+ years of application production support experience
• Education BS/BA degree or higher
• Desired Qualifications
• An industry-standard technology certification
• Strong verbal, written, and interpersonal communication skills
• 3+ years of experience with Cloud technologies
• Knowledge and understanding of Site Reliability Engineering (SRE) concepts
• 3+ years of Agile experience
• Advanced scripting skills specifically around automation, log rotation, data collection, error collection and alerting
• Scripting and automation experience
• Experience with complex business logic and dependencies
• 3+ years of CI/CD automation and configuration experience (DevOps / pipeline automation)
• 3+ years of experience with ITSM processes (e.g. Incident Management, Change Management, Asset Management and Configuration Management)
• Hands-on experience with writing / maintaining technical documentation such as fixlogs, runbooks, knowledge base, architectural diagrams
• Hands-on experience with system administration across multiple platforms
• Hands-on experience with one or more software development languages: Java, JavaScript, Ruby, Python, JSON, Angular, NodeJS, .Net/C#
• Hands-on experience with one or more CI/CD automation tools: Jenkins, Gradle, Maven, Git, SonarQube, Artifactory, Ansible, Puppet, Apigee
• Hands-on experience with one or more process management and scheduling tools: Autosys, JAWS
• Hands-on experience with one or more Monitoring/Observability/APM/Analytics tools: Splunk, Elastic, Kibana, Grafana, Prometheus, AppDynamics, Dynatrace, New Relic, DataDog, Kafka, CloudWatch, Jaeger, Zipkin, Big Panda, TrueSight
• Hands-on experience with one or more Server OS: Windows, Linux, Unix, Mainframe
• Hands-on experience with one or more Cloud and virtualization technologies: Azure, GCP, AWS, PCF, PKS, Kubernetes, OpenShift, VMware
• Hands-on experience with one or more Data storage, management and messaging technologies: Kafka, IBM MQ, Apache Airflow, Logstash, Spark, Oracle, SQL, MongoDB, Cassandra, Hadoop, Cloudera, AWS EMR, S3
• Hands-on experience with one or more Testing Frameworks: Selenium, JMeter, Blazemeter, Performance Center, Perfecto, Cucumber, Gherkin, ALM, Gremlin, Chaos Monkey, Chaos Toolkit, Simian Army, Toxi Proxy
• Working knowledge of TCP/IP networking, experience analyzing packet captures to assist in troubleshooting
• Working knowledge of Internet technologies: routing, NAT, firewalls, load-balancing, proxies, web servers

JOB EXPECTATIONS:

• Ability to work additional hours as needed
• Ability to work on call as assigned
• Flexibility to work in a 16/7 environment, including weekends and holidays
• Operational Ownership / Application Support:
• Maintain system operational knowledge (functional and technical)
• Understand and monitor system operation, ensure optimal availability, functional health, and performance (driven by SLO/SLA)
• Triage alerts, respond to incidents, perform root cause analysis (troubleshooting)
• Handle users’ questions and requests related to business systems (not a Desktop Support)
• Change requests implementation (manual deployment steps, overall deployment coordination)
• BCP planning and implementation
• Ensure continuous improvements of operational processes and methods
• Reliability Engineering:
• Analyze system’s monitoring and observability needs (technical, functional, business), and create or adjust logging, monitoring, alerting and analytics solutions to cover those needs
• Use understanding of software engineering (system code) and infrastructure to improve the depth and quality of root cause analysis (troubleshooting)
• Partner with Architecture, Infrastructure and Development teams to influence decisions that impact reliability and supportability
• Identify routine or risky manual operations, and create automation solutions (scripting, tooling) or influence fixing the sources of manual work (as appropriate)
• Drive deeper post-incident reviews for major incidents, to learn and improve
• Engage in weakness research and analysis, and architectural reviews, to use deep knowledge of production operation to suggest improvements
• Use deep knowledge of production …