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6 - 11 years
8 - 14 Lacs
Karnataka
Work from Office
Full-stack developer: Java 8, Micro Services, Springboot, Mongodb, Kafka. Frontend tools : Reactjs /Angular Strong knowledge on JAVA,Kafka, MongoDB, Spring Boot, Microservices and Rest APIs Pipelines, Artifactory, GIT, Unit Testing and Mocking Database: MongoDB Ability to identify system changes and verify that technical system specifications meet the business requirements Strong problem solving, analytical skills, Good communication and presentation skills, Good attitude and self-motivated Prepare detail design for the Solution by discussing with PO and business. Consult with Business, Subject Master Expert, users to evaluate business requirements, evaluate existing or proposed systems, and prepare detailed technical design document from which programs will be written Walk-thru the technical design document with Business / SME / QA group and support team Ensuring timely deliveries for all assigned tasks Participate in Design reviews, Test Case reviews, and Production Support readiness reviews for new releases Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc.
Posted 3 months ago
5 - 7 years
5 - 9 Lacs
Bengaluru
Work from Office
Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Spring Boot Good to have skills : Java Full Stack Development, Microservices and Light Weight Architecture Minimum 5 year(s) of experience is required Educational Qualification : BE or BTech or MCA Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using Spring Boot. Your typical day will involve working with Java Full Stack Development, Microservices, and Light Weight Architecture to deliver high-quality solutions. Roles & Responsibilities: Design, develop, and maintain high-quality applications using Spring Boot. Collaborate with cross-functional teams to identify and prioritize application requirements. Develop and maintain technical documentation for applications. Ensure the performance, quality, and responsiveness of applications. Professional & Technical Skills: Must To Have Skills:Strong experience in Spring Boot. Should Have Skills:Java Full Stack Development, Microservices, and Light Weight Architecture. Need Java 8+, Spring, SpringBoot Developers with 6+yrs exp using MicroServices Light Weight Architecture, MySQL, NoSQL (MongoDB or any other NOSQL) -Understanding and experience with building real-time transactional services, REST services API, and container-based services. -Detail-oriented approach to work, emphasizing accuracy and thoroughness in all tasks. Experience with agile methodologies is preferred. -Ability to translate complex technical concepts into understandable terms for non-technical stakeholders. -Ability to develop and utilize Application Program Interfaces (APIs), a set of routines, protocols, and tools for building software applications that specify how software components should interact and are used when programming graphical user interface (GUI) components. -Knowledge of and the ability to use database software (e.g., applications, web-based applications, information systems) in order to query, maintain, modify, and output data. -Experience with or knowledge of Continuous Integration & Development and automation tools such as Jenkins, Artifactory, Git etc. Additional Information: The candidate should have a minimum of 5 years of experience in Spring Boot. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering high-quality solutions. This position is based at our Bengaluru Client office. Qualifications BE or BTech or MCA
Posted 3 months ago
5 - 8 years
0 Lacs
Greater Kolkata Area
On-site
Line of Service Advisory Industry/Sector Not Applicable Specialism Microsoft Management Level Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In testing and quality assurance at PwC, you will focus on the process of evaluating a system or software application to identify any defects, errors, or gaps in its functionality. Working in this area, you will execute various test cases and scenarios to validate that the system meets the specified requirements and performs as expected. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Developing CI/CD toolchains centered around tools such as Jenkins, Azure DevOps, GithubActions, ArgoCD, Artifactory, Azure container registry, Google container registry and other similar tooling;Developing modules utilizing tools such as Terraform & Pulumi;Demonstrating knowledge of security requirements, including working with encryption at rest & in transit patterns;Demonstrating knowledge of tools like Azure Key vault, Hashicorp Vault, Google KMS;Utilizing security tools like Veracode, Blackduck for AppSec testing, Qualys scanners for infra testing and Twistlock/Aqua for container scanning;Working with tools like Github/Gitlab for source code management and well as experience with branching strategies like GitFlow and trunk based;Kubernetes at scale using one of GKE, AKS, EKS or RKE;Deploying automation in order to identify toil and opportunities to reduce that within the team;Setting up observability tools like Prom/Grafana, Datadog, AppDynamics, Splunk to give actionable intel on a microservice environment including but not limited to synthetics,Application performance monitoring, logging and Alerting (Pagerduty/OpsGenie Integrations);Troubleshooting all the way down to code level to give development teams a head start on application issues and effectively contribute to root cause analysis exercises post problem resolution; familiarity with Authn/Authz schemes like OpenID, OAuth 2.0, SAML;Effectively document any automation or technical efforts so as to ensure ease of adoptability of a solution;Effectively working with Scrum/Dev teams with a push/pull (push back and prioritize work pulled in) philosophy in order to manage expectations and contribute to the stability and improvement of the platform;Working within Agile methodologies and tools like Jira, Jira Align;Scripting utilizing tools such as Bash, Python;Demonstrating expertise with Operators, CRDs, webhooks, service mesh patterns, stateful applications (Zookeeper managed), NOSQL Databases (MongoDB primarily, Couchbase is a plus);Scripting and Programming with Go, Java, Node; and,Implementing SRE approach to determine SLIs and create effective SLO’s. Mandatory Skill Sets Azure, AKS, Kubernetes Preferred Skill Sets Troubleshooting Years Of Experience Required 3-4 years Education Qualification B.Tech/B.E./MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Azure Kubernetes Service (AKS), Microsoft Azure Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Cloud Administration, Cloud-Based Service Management, Cloud Engineering, Cloud Infrastructure, Cloud Infrastructure Architecture Design, Cloud Infrastructure Optimization, Cloud Migration, Cloud Operations (CloudOps), Cloud Performance Optimization, Cloud Service Delivery, Cloud Strategy, Communication, Emotional Regulation, Empathy, Inclusion, Infrastructure Management, Infrastructure Performance, Intellectual Curiosity, Microsoft Azure, Optimism, Performance Monitor, Teamwork {+ 4 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date
Posted 6 months ago
4.0 - 6.0 years
0 Lacs
Pune, Maharashtra
On-site
Data SciencePune Corporate Office - HO Posted On 19 Aug 2024 End Date 19 Aug 2025 Required Experience 4 - 6 Years BASIC SECTION Job Level GB06 Job Title Senior Lead - Advance Analytics, Artificial Intelligence, Artificial Intelligence Job Location Country India State MAHARASHTRA Region West City Pune Location Name Pune Corporate Office - HO Tier Tier 1 Skills SKILL SKILLS AS PER JD Minimum Qualification OTHERS JOB DESCRIPTION Job Purpose “This position is open with Bajaj Finance ltd.” Duties and Responsibilities This role is for NLP and data-oriented product development (horizontal capability builds) but it will also require strong program management and execution skills. Technical Interactions with vendor or partners in technical capacity for business/capability deliverables. Develops proof of concept to prove or disprove validity of concept. Work with cross functional team to integrate these models into larger solutions. Works collaboratively in a multi-disciplinary team environment; Establishes and maintains professional networks with subject matter experts. Responsible for artificial intelligence / machine learning technology and application analysis, understand latest industrial and academic developments in AI/ML. Design competitive AI/ML services and user experience for next generation products and create prototypes for demonstration. Strong empowerment and self-drive is a must. Required Qualifications and Experience 1. PhD/MTech/BE/ BTech/MSc in CS or Math, Operation research, Statistics, Econometrics or in any quantitative field 2. 6+ years of industrial experience in analytics, predictive modeling, Machine learning, NLP, predictive analytics solution development and deployment 3. Strong Problem-solving ability 4. Should have strong experience in anyone or more programming languages Python or JAVA. Experience in RESTful, Web Services. 5. Experience in using Python, R, SAS or any other statistical software (plus other open source libraries) 6. skills with Shell/Perl (or similar scripting language), Scala and Java 7. Experience with development tools like Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory etc. 8. Experience with web application server like Tomcat, Jetty, JBoss etc. 9. Strong understanding of OOP design patterns and industry best practices. 10. Fair knowledge of scripting and working in Linux environment 11. Good to have Experience of building Solutions with latest front-end technologies (JavaScript libraries like React or Angular, CSS3, HTML5). 12. Hands-on experience of API Integration single-sign -on and token-based authentication. Experience integrating with SQL and NoSQL databases (Cosmos DB, Cassandra, MongoDB) 13. Good understanding of DevOps pipeline like Azure Devops. Experience in Agile environment 14. Experience in any of the following area could be plus: Lucene based search engines (Elasticsearch, Solr) 15. Experience Container Orchestration technologies (Kubernetes), distributed systems, scalable data analytics technologies (Spark) 16. Experience in mentoring junior team members, and guiding them on machine learning, NLP, Computer Vision, Speech analytics and data modeling applications 17. Strong communication and data presentation skills 18. Skills with Relational Databases, Data warehouses, Structured & Unstructured data forms. 19. Publications /patents/presentation in recognized Machine Learning and Data Mining journals/conferences is preferred 20. Solid knowledge in deep learning algorithms and AI system design and architecture. 21. Strong hands-on nature (ability to self-code is a must). 22. Strong capability to work on server class (cloud machines) for data science capability builds 23. Strong IT & Business interactions capability 24. Strong team player with exceptional program management.
Posted 10 months ago
4.0 - 6.0 years
0 Lacs
Pune, Maharashtra
On-site
Data SciencePune Corporate Office - HO Posted On 19 Aug 2024 End Date 19 Aug 2025 Required Experience 4 - 6 Years BASIC SECTION Job Level GB06 Job Title Senior Lead - Advance Analytics, Artificial Intelligence, Artificial Intelligence Job Location Country India State MAHARASHTRA Region West City Pune Location Name Pune Corporate Office - HO Tier Tier 1 Skills SKILL SKILLS AS PER JD Minimum Qualification OTHERS JOB DESCRIPTION Job Purpose “This position is open with Bajaj Finance ltd.” Duties and Responsibilities This role is for NLP and data-oriented product development (horizontal capability builds) but it will also require strong program management and execution skills. Technical Interactions with vendor or partners in technical capacity for business/capability deliverables. Develops proof of concept to prove or disprove validity of concept. Work with cross functional team to integrate these models into larger solutions. Works collaboratively in a multi-disciplinary team environment; Establishes and maintains professional networks with subject matter experts. Responsible for artificial intelligence / machine learning technology and application analysis, understand latest industrial and academic developments in AI/ML. Design competitive AI/ML services and user experience for next generation products and create prototypes for demonstration. Strong empowerment and self-drive is a must. Required Qualifications and Experience 1. PhD/MTech/BE/ BTech/MSc in CS or Math, Operation research, Statistics, Econometrics or in any quantitative field 2. 6+ years of industrial experience in analytics, predictive modeling, Machine learning, NLP, predictive analytics solution development and deployment 3. Strong Problem-solving ability 4. Should have strong experience in anyone or more programming languages Python or JAVA. Experience in RESTful, Web Services. 5. Experience in using Python, R, SAS or any other statistical software (plus other open source libraries) 6. skills with Shell/Perl (or similar scripting language), Scala and Java 7. Experience with development tools like Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory etc. 8. Experience with web application server like Tomcat, Jetty, JBoss etc. 9. Strong understanding of OOP design patterns and industry best practices. 10. Fair knowledge of scripting and working in Linux environment 11. Good to have Experience of building Solutions with latest front-end technologies (JavaScript libraries like React or Angular, CSS3, HTML5). 12. Hands-on experience of API Integration single-sign -on and token-based authentication. Experience integrating with SQL and NoSQL databases (Cosmos DB, Cassandra, MongoDB) 13. Good understanding of DevOps pipeline like Azure Devops. Experience in Agile environment 14. Experience in any of the following area could be plus: Lucene based search engines (Elasticsearch, Solr) 15. Experience Container Orchestration technologies (Kubernetes), distributed systems, scalable data analytics technologies (Spark) 16. Experience in mentoring junior team members, and guiding them on machine learning, NLP, Computer Vision, Speech analytics and data modeling applications 17. Strong communication and data presentation skills 18. Skills with Relational Databases, Data warehouses, Structured & Unstructured data forms. 19. Publications /patents/presentation in recognized Machine Learning and Data Mining journals/conferences is preferred 20. Solid knowledge in deep learning algorithms and AI system design and architecture. 21. Strong hands-on nature (ability to self-code is a must). 22. Strong capability to work on server class (cloud machines) for data science capability builds 23. Strong IT & Business interactions capability 24. Strong team player with exceptional program management.
Posted 10 months ago
4.0 - 6.0 years
0 Lacs
Pune, Maharashtra
On-site
Data SciencePune Corporate Office - HO Posted On 19 Aug 2024 End Date 19 Aug 2025 Required Experience 4 - 6 Years BASIC SECTION Job Level GB06 Job Title Senior Lead - Advance Analytics, Artificial Intelligence, Artificial Intelligence Job Location Country India State MAHARASHTRA Region West City Pune Location Name Pune Corporate Office - HO Tier Tier 1 Skills SKILL SKILLS AS PER JD Minimum Qualification OTHERS JOB DESCRIPTION Job Purpose “This position is open with Bajaj Finance ltd.” Duties and Responsibilities This role is for NLP and data-oriented product development (horizontal capability builds) but it will also require strong program management and execution skills. Technical Interactions with vendor or partners in technical capacity for business/capability deliverables. Develops proof of concept to prove or disprove validity of concept. Work with cross functional team to integrate these models into larger solutions. Works collaboratively in a multi-disciplinary team environment; Establishes and maintains professional networks with subject matter experts. Responsible for artificial intelligence / machine learning technology and application analysis, understand latest industrial and academic developments in AI/ML. Design competitive AI/ML services and user experience for next generation products and create prototypes for demonstration. Strong empowerment and self-drive is a must. Required Qualifications and Experience 1. PhD/MTech/BE/ BTech/MSc in CS or Math, Operation research, Statistics, Econometrics or in any quantitative field 2. 6+ years of industrial experience in analytics, predictive modeling, Machine learning, NLP, predictive analytics solution development and deployment 3. Strong Problem-solving ability 4. Should have strong experience in anyone or more programming languages Python or JAVA. Experience in RESTful, Web Services. 5. Experience in using Python, R, SAS or any other statistical software (plus other open source libraries) 6. skills with Shell/Perl (or similar scripting language), Scala and Java 7. Experience with development tools like Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory etc. 8. Experience with web application server like Tomcat, Jetty, JBoss etc. 9. Strong understanding of OOP design patterns and industry best practices. 10. Fair knowledge of scripting and working in Linux environment 11. Good to have Experience of building Solutions with latest front-end technologies (JavaScript libraries like React or Angular, CSS3, HTML5). 12. Hands-on experience of API Integration single-sign -on and token-based authentication. Experience integrating with SQL and NoSQL databases (Cosmos DB, Cassandra, MongoDB) 13. Good understanding of DevOps pipeline like Azure Devops. Experience in Agile environment 14. Experience in any of the following area could be plus: Lucene based search engines (Elasticsearch, Solr) 15. Experience Container Orchestration technologies (Kubernetes), distributed systems, scalable data analytics technologies (Spark) 16. Experience in mentoring junior team members, and guiding them on machine learning, NLP, Computer Vision, Speech analytics and data modeling applications 17. Strong communication and data presentation skills 18. Skills with Relational Databases, Data warehouses, Structured & Unstructured data forms. 19. Publications /patents/presentation in recognized Machine Learning and Data Mining journals/conferences is preferred 20. Solid knowledge in deep learning algorithms and AI system design and architecture. 21. Strong hands-on nature (ability to self-code is a must). 22. Strong capability to work on server class (cloud machines) for data science capability builds 23. Strong IT & Business interactions capability 24. Strong team player with exceptional program management.
Posted 10 months ago
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The artifactory job market in India is experiencing significant growth as more and more companies are moving towards DevOps practices. Artifactory professionals are in high demand across various industries, including IT, software development, and e-commerce. With the increasing adoption of automation and continuous integration/continuous deployment (CI/CD) pipelines, the need for skilled artifactory professionals is on the rise.
The average salary range for artifactory professionals in India varies based on experience levels. Entry-level positions can expect to earn around INR 4-6 lakhs per annum, while experienced professionals can earn upwards of INR 12-15 lakhs per annum.
In the artifactory job market, a typical career path may involve starting as a Junior DevOps Engineer, then progressing to a DevOps Engineer, followed by roles such as Senior DevOps Engineer, DevOps Architect, and eventually Tech Lead or DevOps Manager.
In addition to proficiency in artifactory, artifactory professionals are often expected to have knowledge and experience in the following areas: - DevOps tools and practices - CI/CD pipelines - Cloud platforms (e.g., AWS, Azure, GCP) - Containerization technologies (e.g., Docker, Kubernetes)
As you explore opportunities in the artifactory job market in India, make sure to brush up on your skills, prepare thoroughly for interviews, and showcase your expertise confidently. With the right skills and mindset, you can build a successful career in this growing field. Good luck!
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