11+ UMTS Jobs in India

Key Responsibilities

• Primarily responsible for the design, development and testing of LTE features for small cell system being developed by Mavenir
• Software development (code & test) of their modules with no supervision. Ability to do high level design and review low-level design/code.
• Accurate estimation of their work.
• Participate in architecture discussions.
• Adherence to development process and quality metrics.

 

Job Requirements

 

• Good understanding of 5G,  LTE and/or UMTS standards.
• Knowledge of 3GPP NR, EUTRAN procedures.
• Knowledge on any of the protocols like RRC, MAC, RLC, LTE/NR L3/L2 protocol stacks.
• Knowledge of RRM, Tr069 interface, NETCONF, YANG.
• Experience of developing UNIX/Linux applications.
• Excellent knowledge of C, data structures and operating systems.
• Knowledge of Network virtualisation concepts will be a plus.
• Experience of any of the following would also be an advantage: IP Networks and Protocols, SCTP, MTP3, M3UA, SS7, SCCP, HNBAP, RUA, RANAP, S1AP, GTP
• Good knowledge of any of version control system like SVN, MKS, clearcase.
• Good team player with knowledge of Agile methodology will be a plus

 

Looking for a Lead/Senior Tester. This role is a mix of Managerial + Testing. A prior experience in handling teams is good.
Must have minimum 2 years of Manual experience with 2 years of Automation.
Knowledge of testing webapps is must.

Candidate must have good communication skills.

Experience in Selenium or cypress is must.

Prior background of financial application is good to have

 

 

About the company : VF is headquartered in New york and has an office in Pune. We provide SaaS platform for Brokers/ Employers and Insurance companies for better Insruance management

Front End Web Developer
We are looking for passionate, self-driven Engineers who are best at what they do and truly believe anything is possible, someone who likes to discuss and explore new ideas and enjoys working with others to design and create great market defining features and products. We want team members who want to do more than just code, we want a dreamer, a creator, someone who likes to discuss new ideas everyday.
What we are looking for:
● Experience in design and implementation of low-latency, high availability, high performance web applications
● High levels of technical acumen
● Experienced in front end web development using React.js
● Experience in Data visualization
● Good knowledge of user experience best practices
● Understand lean approach with frequent releases and focussed on getting MVPs into market as early as possible to increase feedback
Must have
● Knowledge of:
○ Javascript, jQuery, Object Oriented design and Javascript design patterns
● Familiarity with:
○ Modern web deployment tools - e.g. babel, webpack, gulp, grunt
○ Javascript package management tools - e.g. npm, bower
○ Javascript frameworks - e.g. react, redux, mobx
○ Javascript testing frameworks & tools - e.g. jasmine, mocha, karma
● Understanding of internet and web technologies such as HTTP
● Experience building data visualization dashboards particularly highCharts and D3
● Strong unit test and debugging skills
● Proficient understanding of code versioning tools such as git

Lead QA Engineer - Automation:

 

We are looking for a candidate who will be an agent of change and who will drive and execute based on our Quality and Reliability Transformation Roadmap. He/She will be responsible for testing Education Service domains across platforms, automation of functional/regression and RFB (sanity) service test suites, Continuous Integration/Continuous Delivery pipeline and Shift Left methodologies. We will also expect the candidate to take ownership of a functional domain and play a hands-on role in the execution of testing for projects in this area.

The candidate should have extensive experience in testing, testing automation, testing leadership and software development. The candidate should be proficient in-service automation testing tools like Eclipse, IDNE, Jenkins, GIT hub and Chatbot testing like Botium. The candidate should have at least 7+ years of service testing or software development experience.

The candidate should be flexible, highly adaptable and an excellent team player. The candidate is expected to work with Agile teams that consist of test analysts, developers, automation engineers and other stake holders. The candidate should expect to work in a global virtual team, sometimes across multiple time zones. The candidate may be assigned to more than one role or project at a time.  

Lead QA Engineer - Automation Responsibilities:

• Create automation plan and delivery roadmaps
• Develop test automation solutions for applications across different platforms
• Adhere to existing standards; provide suggestion to improve and set new standards
• Participate in technical discussions with engineering teams to understand application architecture and API model
• Collaborate with QA Engineers and Software Developers to identify test automation scope and priorities
• Configure, maintain, and operate service test automation tools and frameworks
• Capture requirements and test cases, understand application features, analyse requirements and develop test automation solution with a view of the end-to-end application flow
• Design and create robust automated test scripts to address business and technical use cases
• Integrate test automation scripts with Continuous Integration and Delivery pipeline
• Communicate progress to the senior leadership on a regular basis
• Should have Education Service domain and application knowledge

 

Lead QA Engineer - Automation Requirements: 

A Bachelor's degree in Computer Science or related field

• 7-11 years’ experience working as a Service Test Automation Engineer
• Experience in collaborating effectively across a variety of IT and business groups, across regions, roles, and able to interact effectively with all levels
• Proven record of execution of QA strategy and unification of QA processes across organization
• Must have hands-on experience with Selenium automation using Java
• Must have experience in Chatbot testing like Botium.
• Working knowledge of any Relational Database and DB Queries.
• Working knowledge of tool and technologies like Jenkins, GIT, JIRA and ALM
• Well versed with approaches like BDD, Keyword Driven, Data Driven and hybrid Driven test automation.
• Good to have understanding of model-based testing.
• Understanding of Agile/Waterfall development process and is comfortable diving into the technical architecture of complex and highly scalable solutions
• Excellent leadership, communication (written and oral) and interpersonal skills. Experience in presenting to diverse audiences and conducting education and training.
• Have deep experience in defining and developing the service test automation framework.
• Development background is a major plus.
• knowledge of Rest, SOAP, MQ and microservices. (Nice to Have)

 

 

Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.

● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.

ENGINEER / SR ENGINEER– JAVA/ JEE TECHNOLOGIES

 PUNE

 

POSITION	JAVA/JEE ENGINEER / SR ENGINEER
EXPERIENCE	4YRS – 12YRS
LOCATION	PUNE
NOTICE PERIOD	15- 30 DAY / IMMEDIATE JOINER WORK FROM OFFICE

EXPERIENCE –  4+ YEARS (4-12 YEARS) EXPERIENCE IN JAVA/ JEE TECHNOLOGIES.

TECHNOLOGY/SKILLS – JAVA1.9, SPRING BOOT, WEB SERVICES, ORACLE, HTTP PROTOCOL, WEB PROXY, JUNIT, XML, JSON

QUALIFICATION – B.E, BTECH, BSC, BCA, BCS OR EQUIVALENT POST-GRADUATION IN ANY BRANCH PREFERABLY IN E&TC, COMPUTERS

OTHER TOOLS USED – ECLIPSE, JIRA, CONFLUENCE, MAVEN, JENKINS, GIT/ BITBUCKET (SOURCE VERSION CONTROL).

SOFT SKILLS – SELF-MOTIVATED, FOCUSED, GOOD TEAM PLAYER, POSITIVE ATTITUDE, GOOD COMMUNICATION SKILLS – WRITTEN AND VERBAL WITH PRODUCT MANAGEMENT, INTERNAL IT AND STAKEHOLDERS.

NICE TO HAVE – KNOWLEDGE OF CRYPTOLOGY, HSM AND KEY MANAGEMENT / PKI / X509, XML SIG /SML ENC, SMART CARD OPERATING SYSTEM, TELECOMMUNICATION (GSM) AND ELECTRONIC PAYMENT SYSTEM, PROVEN KNOWLEDGE TO WORK IN PROCESSES ACCORDING TO CMMI (LEVEL 3).

 

DETAILS – GOOD TO HAVE ATTRIBUTES:

• KNOWLEDGE OF SOFTWARE ARCHITECTURE, UNDERSTANDING AND PREPARING SEQUENCE DIAGRAMS, ARCHITECTURE, AND PROCESS DOCUMENTATION.
• EXPERIENCE IN ENTERPRISE APPLICATIONS IN THE PAYMENT / BANKING DOMAIN PREFERRED.
• ANALYSIS, DESIGN AND IMPLEMENTATION OF SMART CARD APPLICATIONS FOR THE PAYMENTS SECTOR (MASTERCARD, VISA.)
• TELECOM/ EMBEDDED SYSTEMS OR SMART CARDS BACKGROUND.
• IDENTIFY AREAS FOR IMPROVEMENT TO ACHIEVE - OPERATIONAL EFFICIENCY, CUSTOMER SATISFACTION, AND VALUE ADDITION.
• PREFERABLY NO TRAVEL CONSTRAINTS.
• HIGH / LOW-LEVEL DESIGNING.

Position: Automation Test Engineer

 

Location: TJC India, Pune

 

 

Job description:

This position involves Software Quality Assurance activities in all phases of the software development life cycle. We are looking for experienced Automation Quality Assurance engineer for SAP cloud-based application, who can carry on End-to-End testing of a newly developed Product and has Strong experience in designing test plans, test cases and test scenarios. Develop and generate scripts for Automating Test cases. Testing Methodologies Involved in manual testing includes functional testing, integration testing, User interface testing and Regression testing. Good understanding of software quality processes and practices is a must.

 

Required Candidate profile:

• 4-7 years of application Automation & Manual Testing experience.
• Responsible for testing of web based/SAP UI5 and other applications.
• Create detailed Test Plans, Test scenarios and Test cases.
• Experience in API and End-to-End Functional Test Automation. 
• Experience in writing Automation Tests using object-oriented programming in C#.
• Ensure proper version control and configuration management of all test objects developed and test environments use
• Develop and generate scripts to perform automated testing using selenium, Cucumber, Spec Flow etc.
• Execute and analyze automation test results.
• Raise bugs, reproduce failed scenarios, help in resolving bugs
• Familiarity with HTML, XML, Java Script, JSON, Ajax, jQuery
• Familiarity with Version Control GIT, TFS, SVN, at least one.
• Excellent communication skills (written and spoken)
• Highly self-motivated, with ability to work both independently and in a team.
• Interact with team members to develop a strong understanding of the project and testing objectives.
• Strong attention to detail with good understanding of QA concepts and methodologies.

 

Good to have: -

• JMeter, LoadRunner performance testing experience.
• Knowledge of QUnit, SAP/UI5, SAP UI Verify testing frameworks.
• Familiarity with Azure DevOps, Test Case management.
• Experience with Agile Scrum development methodologies would be a plus.

 

Required Skills: -

UI Testing, Regression Testing, Interface Testing Integration, Testing test Scenarios, Application Testing, Manual Testing, Functional Testing, quality analyst. Automation Testing, Selenium, Cucumber, C#, Spec Flow

 

 

We are looking to hire a talented iOS developer to design, build, and maintain the next generation of iOS applications. Your primary focus will be developing high-end iOS applications for the latest Apple mobile devices. Your duties may include collaborating with the design team for new application features, identifying and fixing application bottlenecks, maintaining the core code, and updating applications published on the App Store.

 

iOS Developer Responsibilities:

 

• Designing and building mobile applications for Apple’s iOS platform.
• Collaborating with the design team to define app features.
• Ensuring quality and performance of the application to specifications.
• Identifying potential problems and resolving application bottlenecks.
• Fixing application bugs before the final release.
• Publishing application on App Store.
• Maintaining the code and atomization of the application.
• Designing and implementing application updates.
•  

iOS Developer Requirements:

 

• Bachelor’s degree in computer science or software engineering.
• Proven experience as an app developer.
• Proficient in Objective-C, Swift, and Cocoa Touch.
• Extensive experience with iOS Frameworks such as Core Data and Core Animation.
• Knowledge of iOS back-end services.
• Knowledge of Apple’s design principles and application interface guidelines.
• Proficient in code versioning tools including Mercurial, Git, and SVN.
• Knowledge of C-based libraries.
• Familiarity with push notifications, APIs, and cloud messaging.
• Experience with continuous integration.

Product marketers play a crucial role in positioning products/services the right way to the right people because they have a deep understanding of your target customers and how our products and services fulfil their needs. As a product marketing specialist, you will be on the team responsible for telling the world (and enterprises) the story of our product. You will be expected to be an avid advocate for our product feature set and its benefits. We’re looking for a passionate, go-getter who will have the opportunity to make a big impact on a tightly knit team that is building enterprise software. 

 

This could be an excellent opportunity to take your career to the next level and learn a lot more along the way, hopefully you’ll teach us a few things too!

• You will be required to create product content (e.g. sales enablement documentation, case studies, product videos, website copy, blog posts, Quora/forum responses) to articulate the benefits of our products to the world.
• Work on thetactical campaign execution. Daily hands-on work will include email builds/sends, landing pages, dynamic content, A/B tests, list imports, and database management.
• You will also set up, test, maintain, and report on recurring and triggered campaigns. Improve initiatives around lead targeting, A/B testing, and deliverability.
• You may be required to manage the company’s social media profiles and presence, including Facebook, Twitter, LinkedIn, and additional channels that may be deemed relevant.
• You will be expected to build product page content, optimize the conversion paths on those pages, and use dynamic call-to-action to create and test buyer stage-specific calls-to-action.
• Manage both on-page SEO and off-page SEO for the company.
• Collaborate with content marketing and blog contributors to create high-quality content around important, relevant terms.
• Manage and improve organic search engine performance and goal-setting based on clickthrough rates, traffic, and conversions. Track lead generation activities.

We are looking for a motivated React js developer to come join our team.

Roles & Responsibilities:

• React.js developers (about 3-5 years of experience) are involved in the interface
• component design from implementation to testing.
• Implement user interface components for JavaScript-based web and mobile applications using the React open-source library ecosystem.
• Should have proficiency in front end languages HTML, CSS, JavaScript, and JavaScript
• frameworks like REACT, Angular JS.
• Have knowledge in REACT tools such as react.js, Webpack, Enzyme, Redux, and Flux. Previous experience in user application.
• interface design is essential.
• Must have hands-on experience in payment gateway,3rd party API integration, Security encryption & decryption experience.

Skills:

• A good attitude toward work, Strong problem-solving skills
• Desire to work in a fast-paced environment along with project and time management skills
• Ability to work independently or with a group

the candidate will be responsible for handling day to day accounts, which will include data entry( purchase, sales). TDS, GST and other compliances will be a part of it.