Job Id: 20200829008
Company: Wells Fargo
Job Role: Software Engineer – Site Reliability Engineering
Experience: 12 Years
Job Location: Hyderabad
Salary: Best in Industry
Vacancies: Not Mentioned
Job Description Wells Fargo Recruitment 2020 Job Openings in Hyderabad Hiring for Software Engineer in August 2020:
We are looking for an SRE who enjoys and thrives on solving complex problems through innovation impacting change at scale. You will join an elite team of 15 SREs driving technology’s transformation by introducing enterprise capabilities and products, launching new platforms, building tools, automating away complex issues, and integrate with the latest technology. Site Reliability Engineers leverage their experience as software and systems engineers to ensure applications onboarded to SRE are available, have full stack observability, introduce continuous improvement through code and automation, provide operational insight through analytics, continuously test, are integrated with CI/D and work with application teams to ensure products and service we provide are always on.
Instantiate Site Reliability Engineering practice at Wells Fargo igniting the practice, principles, and culture leading by example. Assist in training the organization by building the practice within CTO and partnering with the Lines of Business to establish embedded SRE teams, contribute to the Wells Fargo SRE Playbook, Engineering Academies, Tech Talks, Demo’s.
Onboard 10 critical customer journeys and applications to Site Reliability Engineering working within TI and Lines of Business to assess the availability of critical business flows, identify service level objectives and indicators, instrument applications for observability, onboard to CI/CD pipeline taking advantage of continuous testing, introduce continuous inspection, continuous improvement, and conduct destructive testing to reach 99.995% availability for the firms critical products and services leading to higher customer satisfaction and customer experience.
Introduce enterprise capabilities, tools, and innovation improving availability in a multi-cloud ecosystem by evolving observability, monitoring, logging, CI/CD integration, continuous testing (performance, smoke, regression, functional, chaos) introduce continuous improvement, standardization/automation, capabilities to conduct destructive and resiliency testing
Evolve AIOPS, ChatOps, NoOps introducing self healing and autonomic capabilities solving for complex operational and systemic issues with precision including building and training models, automating cognitive processes, leveraging Robotic Process Automation, Unified Communication, and AI/ML to improve availability of products we provide to customers
Automate key SRE metrics and IT Service Operations processes including customer impact, % availability of critical business flows, SLO/SLI adherence, error budget, automate incident process for IT Service Operations through data integrating with unified communications, alerting/notification systems, and evolve ChatOps to reduce time to recovery.
Share support responsibilities for critical applications and customer journeys onboarded to SRE including remediation of issues through Agile, conduct blameless post mortems, root cause analysis and introduce continuous improvement solving problems once and for all with the goal of no repeats.
Market Skills and Certifications
We are hiring a Site Reliability Engineer (SRE) to be part of the new enterprise Site Reliability Engineering (SRE) practice within TI and across Wells Fargo Technology. We believe that “Hope is not a Strategy” and we solve operational issues through code.
12 years of experience in handling large complex Technology Infrastructure environmments
Proven Technical Expertise with one or more of the following:
Software Development: Java, Go, C/C++, Scala, R
OS and Platform – AWS, Lamda, PCF, Kubernetes, OpenShift, Linux, Azure, Windows, Vmware
CI/CD and Automation: Jenkins, Gitlab, SonarQube, Artifactory, Ansible, Puppet, Apigee
Observability and AIOPS: DataDog, Grafana, Prometheus, ELK, Elastic, Kibana, Kafka, CloudWatch, Jaeger, Zipkin, Kinesis, Apache Airflow, AppDynamics
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