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Requirements:
· UIPath certification
· Proficient in UI Path Platform, Test Manage, Test Suite, with 6+ years of Experience on Test Automation
· Hands-on experience in building automated scripts using Low-Code No-Code Platform (UIpath)
· Experience on Testing SOAP or REST API
· Experience building data driven tests and frameworks for Web, Windows, and Micro services.
· Understanding of test methodologies (regression, functional, unit, integration, code coverage, performance, etc.)
· Experience building data driven tests and frameworks for Web, Windows, and Micro services.
· Designing and developing test automation frameworks and understanding of test automation design patterns and software testing principles.
· Familiarity with Relational Databases and SQL
· Bachelor's degree in computer science, engineering or related field
· Minimum of 7 years of experience in software testing and test automation
· Minimum of 5 years of experience in UIPath test automation
· Strong knowledge of test automation frameworks and tools
· Experience with continuous integration and continuous delivery (CI/CD) pipelines
· Ability to analyze and debug complex issues
· Excellent problem-solving skills
· Strong communication skills and ability to work collaboratively in a team environment
· Knowledge of agile methodologies
Flexibility
Need to be flexible with respect to working times, provide two hours overlap with IST (Central Time) and UK time on an ongoing basis.
If you are passionate about test automation and have experience with UIPath, we encourage you to apply for this exciting opportunity. We offer a competitive salary, excellent benefits, and opportunities for growth and development.
- Strong Product Designer profile, with both UI and UX works for B2C Products
- Mandatory (Experience 1) - Must have a 3+ YOE in end-to-end Product Design, including UX work like UX Research, User Persona, Workflows
- Mandatory (Experience 2) - Expertise in tools like Figma, Sketch, Adobe XD, and others to create high-fidelity wireframes and prototypes
- Mandatory (Portfolio) - Must have a strong portfolio of UI/UX of Good B2C products. Portfolio must show detailed case studies including Wireframing, Prototype, Interaction Design and Visual Designs
- Mandatory (CTC) - The CTC breakup offered will be 80% fixed, and 20% variable, as per Company policy.
Preferred
- Preferred (Company) – Product Companies
About the company
KPMG International Limited, commonly known as KPMG, is one of the largest professional services networks in the world, recognized as one of the "Big Four" accounting firms alongside Deloitte, PricewaterhouseCoopers (PwC), and Ernst & Young (EY). KPMG provides a comprehensive range of professional services primarily focused on three core areas: Audit and Assurance, Tax Services, and Advisory Services. Their Audit and Assurance services include financial statement audits, regulatory audits, and other assurance services. The Tax Services cover various aspects such as corporate tax, indirect tax, international tax, and transfer pricing. Meanwhile, their Advisory Services encompass management consulting, risk consulting, deal advisory, and other related services.
Application Link for quick response- https://forms.gle/wFPNPLK4XE5L7MRk8
Job Description
Position: Chief Risk Officer
Education Qualification: Bachelor's degree in finance, business administration, economics, or a related field
Experience: 12-14 years
Location: Pan India with potential requirement to travel to the middle east
Employment Type: contract for 6-12 months (Hybrid)
Responsibilities:
- Enterprise Risk- ERM Framework: Implement a comprehensive risk management framework addressing operational, financial, and reputational risks.
- Operational Risk: Identify and mitigate risks from internal processes and external threats (e.g., cybersecurity) and produce annual entity specific Risk Assessment.
- Compliance Risk: Ensure adherence to QFCRA regulations and collaborate with the CCO and MLRO to manage compliance risks.
- Risk Reporting: Provide regular risk reports to senior management and the board.
- Produce annual entity specific Risk Appetite Statement.
- Portfolio Investment Risk
- Risk Assessment: Regularly analyze and monitor market, credit, and liquidity risks in the investment portfolio.
- Risk Limits: Set and enforce risk limits aligned with the firm’s strategy and regulatory requirements.
- Performance Monitoring: Track portfolio performance against risk benchmarks and report exposures to senior management.
- Mitigation Strategies: Advise on hedging, diversification, and other techniques to manage investment risks.
Kubernetes
Docker
Amazon Web Services (AWS)- Configure, optimize, document, and support of the infrastructure components of software products (which are hosted in collocated facilities and cloud services such as AWS)
- Design and build tools and frameworks that support deployment and management and platforms
- Design, build, and deliver cloud computing solutions, hosted services, and underlying software infrastructures
- Build core functionality of our cloud-based platform product, deliver secure, reliable services and construct third party integrations
- Assist in coaching application developers on proper DevOps techniques for building scalable applications in the microservices paradigm
- Foster collaboration with software product development and architecture teams to ensure releases are delivered with repeatable and auditable processes
- Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restores of different environments
- Work independently across multiple platforms and applications to understand dependencies
- Evaluate new tools, technologies, and processes to improve speed, efficiency, and scalability of continuous integration environments
- Design and architect solutions for existing client-facing applications as they are moved into cloud environments such as AWS
- Competencies
- Full understanding of scripting and automated process management in languages such as Shell, Ruby and/ or Python
- Working Knowledge SCM tools such as Git, GitHub, Bitbucket, etc.
- Working knowledge of Amazon Web Services and related APIs
- Ability to deliver and manage web or cloud-based services
- General familiarity with monitoring tools
- General familiarity with configuration/provisioning tools such as Terraform
- Experience
- Experience working within an Agile type environment
- 4+ years of experience with cloud-based provisioning (Azure, AWS, Google), monitoring, troubleshooting, and related DevOps technologies
- 4+ years of experience with containerization/orchestration technologies like Rancher, Docker and Kubernetes
Java
Spring BootSoftware Development Engineer:
Major Responsibilities:
- Translation of complex functional requirements into technical requirements, implementing and maintaining a coherent and progressive development strategy for our product line
- Design, develop and maintain complex systems using best of the breed development practices and technology.
- Responsible for the over-all software development life cycle.
- Delivery of High Quality, Scalable and Extensible systems and applications on-time and on-budget.
- Adoption and Evolution of the software engineering practices and tools within the organization
- Keep in sync with the latest technology developments and open source offerings. Evaluate and adopt them for solving business problem of organization.
- Collaborate with other technology and business teams within the organization to provide efficient robust solutions to the problems.
- Drive and manage the bug triage process
- Report on status of product delivery and quality to management, customer support and product teams.
Desired Skills
- Strong programming, debugging, and problem-solving skills
- Strong understanding of data structures and algorithms
- Sound understanding of object-oriented programming and excellent software design skills.
- Good experience of SOA/Microservices/Restful services and development of N-tier J2EE / JavaSpringboot applications (API’s).
- Strong understanding of database design and SQL (mySql/mariaDB) development
- Good to have knowledge of NoSQL technologies like MongoDB, Solr, Redis, Cassandra or any other NoSQL database
- Knowledge of design patterns and good to have experience of large-scale applications
- Should have experience in Apache Kafka, RabbitMQ or other Queueing systems.
Ideal Experience
- 3 to 8 years of industry experience.
- Bachelors or Master’s Degree in Computer Science/ IT
- Drive discussions to create/improve product, process and technology
- Provide end to end solution and design details
- Lead development of formalized solution methodologies
- Passion to work in startup like environment
Personal Characteristics
- Passion and commitment
- Strong and excellent software design intellect
- High integrity
- Self-starter
Java
Javascript
HTML/CSS
Python
jQuerySkills Required- Angular 2+, AngularJs, Javascript, HTML/CSS, jQuery, AJAX, Bootstrap
Additional skills(Good to have): Java sprint boot, rest api development, Sql/NoSql db knowledge
Tremendous opportunity to make impact on business and ad-tech industry.
Benefits:
Build shit that matters!!!
Experience the impact of your hard work
Work hard and party harder
Work with a extremely committed group of people
Explore and implement new technologies
Data Science
Machine Learning (ML)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.
We are looking for a UI/UX Designer to turn our software into easy-to- use products for our clients.
UI/UX Designer responsibilities include gathering user requirements, designing graphic elements and building navigation components. To be successful in this role, you should have experience with design software and wireframe tools. If you also have a portfolio of
professional design projects that includes work with web/mobile applications, we’d like to meet you.
Ultimately, you’ll create both functional and appealing features that address our clients’ needs and help us grow our customer base.
Responsibilities
Gather and evaluate user requirements in collaboration with product managers and engineers
Illustrate design ideas using storyboards, process flows and sitemaps
Design graphic user interface elements, like menus, tabs and widgets
Build page navigation buttons and search fields
Develop UI mockups and prototypes that clearly illustrate how sites function and look like
Create original graphic designs (e.g. images, sketches and tables)
Prepare and present rough drafts to internal teams and key stakeholders
Identify and troubleshoot UX problems (e.g. responsiveness)
Conduct layout adjustments based on user feedback
Adhere to style standards on fonts, colors and images
Requirements
Proven work experience as a UI/UX Designer or similar role
Portfolio of design projects
Knowledge of wireframe tools (e.g. Wireframe.cc and InVision)
Up-to-date knowledge of design software like Adobe Illustrator and Photoshop
Team spirit; strong communication skills to collaborate with various stakeholders
Good time-management skills
Angular (2+)
.NET
AngularJS (1.x)Job Description: Full Stack Developer (Angular/API)
- Experience in developing web and mobile applications using Frontend & Backend framework
- Hands-on Experience in developing frontend UI using Angular.
- Hands-on experience in API development preferably using .net Core.
- Hands-on Experience with ORM solutions like Entity Framework, Dapper, hibernate
- Strong knowledge of front-end UI frameworks like Bootstrap, Material, Prime NG
- Strong Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
- Knowledge of cloud technology like Azure/AWS
- Must have strong OOPS knowledge
- Must have Knowledge Design Principle
- Strong knowledge of writing DB Query, Proc, View, indexing & Query Optimization skill
- Must know SDLC/AGILE Software development skill
- Must know source code management tool TFS, SVN OR GIT
- Willingness to participate in organization initiatives and create a reusable library, POC
- Inclination towards cutting-edge technology and the latest framework
- Strong troubleshooting skills and Analytical mind
- Excellent communication and team player.
JavaPython
Ruby
PHP
C++Greetings from Amazon...!
It is our pleasure in personally inviting you to apply job with Amazon Development Centre India (ADCI). At Amazon we are inclined to hire people with passion for technology and you happened to be one of the shortlisted candidates. Our business is committed to recognizing potential and creating teams that embrace innovation.
Please find the Eligible criteria and requirements:
Job title : SDE – II (Software Development Engineer)
Role Opportunity : Permanent/Full Time/FTE/Regular
Work Location : Hyderabad/Bangalore/ Gurgaon
Must Have
- Strong Exposure to Data Structures, Algorithms, Coding, System Design (LLD, HLD, OOAD), Distributed systems, problem solving skills, Architecture (MVC/Microservices), logical thinking.
Amazon (ADCI) - If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast paced environment working with smart, passionate software developers, this might be the role for you. Amazon’s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience – from checkout to shipment tracking to delivery. Our software systems include services that handle thousands or requests per second, make business decisions impacting billions of dollars a year, integrate with a network of small and large carriers worldwide, manage business rules for millions of unique products, and improve experience for millions of online shoppers. With rapid expansion into new geographies, innovations in supply chain, delivery models and customer experience, increasingly complex transportation network, ever expanding selection of products and growing number of shipments worldwide, we have an opportunity to build software that scales the business, leads the industry through innovation and delights millions of customers worldwide.
As an SDE, you will develop a deep understanding of our business, work closely with development teams and own the architecture and end-to-end delivery of software components.
About Amazon India:
Amazon teams in India work on complex business challenges to innovate and create efficient solutions that enable various Amazon businesses, including Amazon websites across the world as well as support Payments, Transportation, and Digital products and services like the Kindle family of tablets, e-readers and the store. We are proud to have some of the finest talent and strong leaders with proven experience working to make Amazon the Earth’s most customer-centric company.
We made our foray into the Indian market with the launch of Junglee.com, enabling retailers in India to advertise their products to millions of Indian shoppers and drive targeted traffic to their stores. In June 2013, we launched http://www.amazon.in">www.amazon.in for shoppers in India. With http://www.amazon.in">www.amazon.in, we endeavor to give customers more of what they want – low prices, vast selection, fast and reliable delivery, and a trusted and convenient online shopping experience. In just over a year of launching our India operations, we have expanded our offering to over 18 million products across 36 departments and 100s of categories! Our philosophy of working backwards from the customers is what drives our growth and success.
We will continue to strive to become a trusted and meaningful sales and logistics channel for retailers of all sizes across India and a fast, reliable and convenient online shopping destination for consumers. For us, it is always “Day 1” and we are committed to aggressively invest over the long-term and relentlessly focus on raising the bar for customer experience in India. Amazon India offers opportunities where you can dive right in, work with smart people on challenging problems and make an impact that contributes to the lives of millions. Join us so you can - Work Hard, Have Fun and Make History.
Basic Qualifications:
- 3+ years’ experience building successful production software systems
- A solid grounding in Computer Science fundamentals (based on a BS or MS in CS or related field)
- The ability to take convert raw requirements into good design while exploring technical feasibility tradeoffs
- Expertise in System design (design patterns, LLD, HLD, Solid principle, OOAD, Distributed systems etc..), Architecture (MVC/Micro services).
- Good understanding of at least some of the modern programming languages (Java) and open-source technologies (C++, Python, Scala, C#, PHP, Ruby etc..)
- Excellence in technical communication
- Has experience in mentoring other software developers
Preferred Qualifications:
- BS/MS in Computer Science or equivalent
- Experience developing service oriented architectures and an understanding of design for scalability, performance and reliability
- Demonstrated ability to mentor other software developers to maintain architectural vision and software quality
- Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment
- Expertise in delivering high-quality, innovative application
- Strong desire to build, sense of ownership, urgency, and drive
- Strong organizational and problem solving skills with great attention to detail
- Ability to triage issues, react well to changes, work with teams and ability to multi-task on multiple products and projects.
- Experience building highly scalable, high availability services
- The ideal candidate will be a visionary leader, builder and operator.
- He/she should have experience leading or contributing to multiple simultaneous product development efforts and initiatives.
- He/she needs to balance technical leadership with strong business judgment to make the right decisions about technology choices.
- He/she needs to be constantly striving for simplicity, and at the same time demonstrate significant creativity, innovation and judgment
- Proficiency in, at least, one modern programming language.
- Experience in SQL or Non-SQL database.
- Strong sense of ownership, urgency, and drive.
- Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices.
- Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.
- Excellent communication, collaboration, reporting, analytical and problem solving skills.
Good to Have:
- Knowledge of professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience with enterprise-wide systems
- Experience influencing software engineers best practices within your team
- Hands-on expertise in many disparate technologies, typically ranging from front-end user interfaces through to back-end systems and all points in between
- Strong written and verbal communication skills preferred
Key Points to remember:
- Strong knowledge of the Software Development Life Cycle methodology
- Technical design, development and implementation decisions on the use of technology in area(s) of specialization.
- Write or modify programming code to suit customer's needs.
- Unit test to assure meets requirements, including integration test as needed.
- Ability to understand and analyze issues and uses judgment to make decisions.
- Strong problem solving & troubleshooting skills
- Strong communication skills
- Responsible for self-development according to professional development plan
JavaPythonTalk about the role we are offering for Mulesoft and how we are considering trainable resources who are keen to learn and work on new technologies
Our Requirements:
We are looking for 1-8 years of experience in technical skills like Java, python etc and who will be willing to learn and move to mulesoft and related technologies
Ability to work in a fast paced, demanding, and rapidly changing environment
Preferred:
Basic knowledge about mulesoft
Responsibilities
Assist in translating business objectives into technical solutions through the use of MuleSoft Anypoint Platform
Coding, testing, debugging, implementing and documenting MuleSoft based flows and integrations
Apply integration design patterns such as message routing, content enrichment, batch processing, error handling and reconciliation mechanisms to deliver required functionality
WHAT WE ARE OFFERING
Learning and Certification
Best in Industry Salary
Health & Wellness Benefits
Employee Rewards Program
Retirement & Savings
Flexible Schedules
Maternity & Paternity Leave
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