Java software engineer

1 week ago

Bangalore, India Infosys Full time

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in more than 56 countries, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace. To amplify human potential and create the next opportunity for people, businesses and communities. If you are a continuous learner and want to Join our team, where you'll have the unparalleled opportunity to explore the cutting edge of AI technologies, especially Generative AI, and directly influence our platform's roadmap. You will play a pivotal role in driving innovation, ensuring we remain industry leaders. You'll be at the forefront of groundbreaking projects, harnessing the latest advancements in machine learning, NLP, computer vision, and Large Language Models pushing the boundaries of AI capabilities and applications. Job Location: Bangalore/ Hyderabad/Pune/Chennai Job Description - Java Full Stack Engineer (Cloud and Devops exp mandatory) • Overall experience of 8-16 years • Extensive experience in design and architecture • Expert in coding & issue resolution • Prior experience - working in Dev Ops environment • Stakeholder Management • Product development experience (at least 2 years) Java 11+, Spring framework (Boot, Hibernate) Cypress/Jest Oracle, Postgre SQL CI/CD with Jenkins pipeline AWS and Terraform Influx DB, Grafana, Sensu, ELK stack infrastructure as a code, one-click deployment, C4 diagrams Mesos/Marathon, Docker, Kubernetes Amazon Web Services and cloud deployments (S3, SNS, SQS, RDS, Dynamo DB, etc.), using tools such as Terraform or AWS CLI Git, Scrum, Pair Programming, Peer Reviewing Influx DB, Kibana, Grafana, Sensu

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