Usage of Conventional AI
Virtusa utilizes Artificial Intelligence (AI) technology for the purpose of conducting candidate pre-employment assessments. This AI may include both text-based and voice-based functionalities. The AI technology will have access to the data that you upload or provide during your interaction with the AI bot and will use such data solely for the purpose of performing assessment in accordance with Virtusa policies and practices. The AI is not used to substantially assist or replace discretionary employment decisions. Read our full employee privacy policy here.
Job description
We are seeking a highly motivated and experienced Python Full Stack Developer to join
our L2 Application Production Support team. The ideal candidate will have a strong
background in Python, React GCP Cloud and a keen interest in AI/ML
You Should be aware and has working knowledge of Incident management tools like
SNOW, Netcool, Dynatrace creating dashboards using Grafana You will be responsible
for ensuring the SLA based production uptime ensuring stability and integrity and
performance of our production systems with adequate product knowledge will also
contribute to support code fixs leading to application dev over time
Responsibilities
L2 Support
Conduct in-depth analysis based on functionalities and recent releases] and
resolution of escalated production issues App failure Gateway/Firewall issues
vulnerability issues etc
Collaborate with development teams to identify and resolve root causes of defects
end result, analysis + RCA [templatized] which can be passed on to L3* [handover
process including trending . Any code fixes will be deployed by this team to test and
then eventually elevate in production
Develop and implement bug fixes and performance enhancements [Ph -II or PH-III]
Automate and Understand all the supporting infrastructure elements like pipeline,
IAC deployments, scripts, jobs etc. that are run to support application. Accurately
document them and identify automation opportunities who will do
Required Skills and Qualifications
Bachelor’s or Master's in computer science, AI/ML Engineering or related field
5 years of experience as a Python Full Stack Developer with a flair of dev ops
experience will be good
Proficiency in Python and its popular frameworks eg Django Flask
Strong experience with front end technologies particularly React
Hands on experience with GCP Cloud services eg Compute Engine Cloud
Storage BigQuery
Familiarity with AI ML concepts and libraries eg TensorFlow PyTorch scikit learn
Excellent problem solving and analytical skills
Strong communication and interpersonal skills
Good to have
Experience with other cloud platforms eg AWS Azure Vantage point good to
have
Knowledge of containerization technologies eg Docker Kubernetes
Familiarity with CI CD pipelines and DevOps practices Must
Experience with monitoring and logging tools eg Dynatrace Prometheus Grafana
Must
Shift Timings
24X7 support
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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