Sr. DevOps Engineer-Data Product Development
- Bengaluru, Karnataka, India
Common Purpose, Uncommon Opportunity. Everyone at Visa works with one goal in mind – making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do: Our VisaNet network processes over 13,000 transactions per second for people and businesses around the world, enabling them to use digital currency instead of cash and checks. We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visa’s sponsorships, including the Olympics and FIFA™ World Cup, celebrate teamwork, diversity, and excellence throughout the world. If you have a passion to make a difference in the lives of people around the world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to be.
This position is ideal for an experienced DevOps SW engineer who is passionate about solving challenging business problems and building applications that provide an excellent user experience. You will be an integral part of the Commercial Data Services product development team focusing on design and build of software solutions that leverage data to solve business problems. The role is for a self-motivated individual with expert software engineering skills and solid expertise with Big Data systems integration and technologies. The candidate will be extensively involved in hands-on activities including POCs, design, documentation, development and test of new functionality.
Candidate must be flexible and willing to switch tasks based on team's needs.
Provide third level technical support within CDS to support the implementation of modifications and/or new solutions
Support the implementation of new programs and subprograms, as well as enhancements, modifications, and corrections to existing software.
Troubleshoot and conduct root cause analysis to address routine to moderately complex issues with accuracy or performance.
Responsible for daily activities of QA Test Lab. This will include but not be limited to creating test environments on physical and virtual platforms; troubleshooting applications
Design and architecture. Perform performance analysis and optimization, monitoring and problem resolution, upgrade planning and execution, and process creation and documentation.
Responsible for analyzing workloads and application inventories to determine optimal utilization patterns. Build and manage development, test, integration, performance and stage environments.
Define and evolve Build & Release best practice by working within teams and educating the other stakeholder teams. These best practices should support traceability & auditability of change.
Ensure continuous availability of various tools supporting SCM & Release Management including Source Control, Continuous Integration, & Change Management.
Lead cross-functional co-located teams in design, development and implementation of enterprise scalable features related to enabling higher developer productivity, environment monitoring and self-healing, and facilitate autonomous delivery teams.
- 5+ years of hands on experience in software industry in infrastructure and Devops
- BS/MS in Computer Science, Computer Engineering, or related field
- Should have hands on and good understanding on DevOps tools and automation framework.
- Knowledge on Source Control Tools such as GIT, Bitbucket.
- Continuous Integration (CI) tools such as Jenkins.
- Must be proficient in one or more scripting languages: Unix Shell, Perl, Python.
- Experience building Big Data solutions. Expertise in Big Data technologies in Hadoop ecosystem Spark, MapReduce,Hive, HDFS, Yarn, Kafka, Pig, Oozie, HBase, etc
- Developing data-enabling software utilizing open source frameworks or projects such as Spring, Angular JS, SOLR, Drools, etc.
- Very good verbal, written, presentation, facilitation, and interaction skills, including
ability to effectively communicate architectural issues and concepts to multiple organization levels
All your information will be kept confidential according to EEO guidelines.