Hiring for AGM- Performance Marketing at EaseMyTrip.com

Roles & Responsibilities:

 3+ years of experience developing mobile apps.  Experiencing fine tuning applications to improve performance and memory utilization.  Thorough understanding of iOS development for iPhone, iPod Touch, and iPad devices.  Experience of design and development of iOS applications, preferably in an Enterprise setting  Proficient with Xcode, Objective-C, and Cocoa Touch  Experience with iOS frameworks such as Core Data, SQLite, MapKit, UIKit, Core Location, etc.  String knowledge in Restful, SOAP APIs to connect iOS applications to back-end services  Strong knowledge of Storyboard, Autolayout, ARC.  Experience of design and development of iOS applications, preferably in an Enterprise setting  Proficient with Xcode, Objective-C, and Cocoa Touch.  experience with iOS frameworks such as Core Data, SQLite, MapKit, UIKit, Core Location, etc  Experience with offline storage, threading, multitasking, and performance and memory tuning with  tools  (such as Instruments).  Understanding of Apple’s design principles and interface guidelines  Knowledge of low-level C-based libraries is preferred  Knowledge of Graph APIs is preferred.  Familiarity with cloud message APIs, Local and push notifications  Proficient understanding of code versioning tools (such as Git, TFS or SVN)  Familiarity with continuous integration.

Candidate Required:

 Excellent communication skills  Be an effective Team Leader and should be able to handle and lead a team with effective delegation.  Proficient in mobile app UI development and best practices  Ability to understand that business needs may shift your priorities and adjust accordingly  Exceptional written and oral communication skills.  Exceptional interpersonal skills, with a focus on listening and questioning skills.  Proven analytical and problem-solving abilities.  Ability to effectively prioritize and execute tasks in a high-pressure environment.

We are looking for a Senior Quality Assurance (QA) engineer to develop and execute exploratory and automated tests to ensure product quality.

QA engineer responsibilities include:

Designing and implementing tests, debugging and defining corrective actions. You will also review system requirements and track quality assurance metrics (e.g. defect densities and open defect counts.)

The QA technician role plays an important part in our company’s product development process. Our ideal candidate will be responsible for conducting tests before product launches to ensure software runs smoothly and meets client needs, while being cost-effective. If you hold an engineering background and enjoy providing end-to-end solutions to software quality problems, we would like to meet you.

Ultimately, you should monitor all stages of software development to identify and resolve system malfunctions to meet quality standards.

Responsibilities

• Review requirements, specifications and technical design documents to provide timely and meaningful feedback
• Create detailed, comprehensive and well-structured test plans and test cases
• Estimate, prioritize, plan and coordinate testing activities
• Design, develop and execute automation scripts using open source tools
• Identify, record, document thoroughly and track bugs
• Perform thorough regression testing when bugs are resolved
• Develop and apply testing processes for new and existing products to meet client needs
• Liaise with internal teams (e.g. developers and product managers) to identify system requirements
• Monitor debugging process results
• Investigate the causes of non-conforming software and train users to implement solutions
• Track quality assurance metrics, like defect densities and open defect counts
• Stay up-to-date with new testing tools and test strategies

Requirements

• Proven work experience in software development
• Proven work experience in software quality assurance
• Strong knowledge of software QA methodologies, tools and processes
• knowledge of Selenium/Appium for web and app automation in android and IOS
• Experience in writing clear, concise and comprehensive test plans and test cases
• Hands-on experience with both white box and black box testing
• Hands-on experience with manual and automated testing tools
• Solid knowledge of SQL and scripting
• Experience of 3 years to 8 years
• Experience working in an Agile/Scrum development process
• Experience with performance and/or security testing is a plus.

• Designing and developing an advanced application for the IOS

• Unit-testingcode for robustness, including edge cases, usability, and general reliability

• Bug fixing and improving application performance

• Design and build advanced applications for the iOS  platform

• Collaborate with cross-functional teams to define, design, and ship new features

• Work with outside data sources and APIs

• Design, build, and maintain high-performance, reusable,and reliable objective-C/Swift

• Help maintain code quality, organization,and automation

• Work with product managers and other stakeholders to provide technical requirements

• Troubleshoot and fix software defects using an issue tracking system

• Perform code reviews with other developers

• Min. of 10+ years of overall exp., with min. 4-5years as a Scrum Master
• Technical background. Should have worked in Development background and not Testing background.
• B.Tech / B.E / Engineering discipline
• CSM (Certified Scrum Master), PSM (Professional Scrum Master) I/II certifications or any other Scrum related certification
• SAFe (Scaled Agile Framework) experience
• Excellent in stakeholder communication

Roles and Responsibilities

• Managing Availability, Performance, Capacity of infrastructure and applications.
• Building and implementing observability for applications health/performance/capacity.
• Optimizing On-call rotations and processes.
• Documenting “tribal” knowledge.
• Managing Infra-platforms like Mesos/Kubernetes,CICD,Observability (Prometheus/New Relic/ELK),Cloud Platforms (AWS/ Azure),Databases,Data Platforms Infrastructure
• Providing help in onboarding new services with production readiness review process.
• Providing reports on services SLO/Error Budgets/Alerts and Operational Overhead.
• Working with Dev and Product teams to define SLO/Error Budgets/Alerts.
• Working with Dev team to have in depth understanding of the application architecture

          and its bottlenecks.

• Identifying observability gaps in product services, infrastructure and working with stake

          owners to fix it.

• Managing Outages and doing detailed RCA with developers and identifying ways to

          avoid that situation.

• Managing/Automating upgrades of the infrastructure services.
• Automate toil work.
•  

Experience & Skills

• 6+ years of total experience
• Experience as an SRE/DevOps/Infrastructure Engineer on large scale microservices and infrastructure.

• A collaborative spirit with the ability to work across disciplines to influence, learn, and

         deliver.

• A deep understanding of computer science, software development, and networking principles.
• Demonstrated experience with languages, such as Python, Java, Golang etc.
• Extensive experience with Linux administration and good understanding the various

linux kernel subsystems (memory, storage, network etc).

• Extensive experience in DNS, TCP/IP, UDP, GRPC, Routing and Load Balancing.
• Expertise in GitOps, Infrastructure as a Code tools such as Terraform etc.. and
• Configuration Management Tools such as Chef, Puppet, Saltstack, Ansible.
• Expertise of Amazon Web Services (AWS) and/or other relevant Cloud Infrastructure

solutions like Microsoft Azure or Google Cloud.

• Experience in building CI/CD solutions with tools such as Jenkins, GitLab, Spinnaker,

Argo etc.

• Experience in managing and deploying containerized environments using Docker,

Mesos/Kubernetes is a plus.

Title: Data Engineer (Azure) (Location: Gurgaon/Hyderabad)

Salary: Competitive as per Industry Standard

We are expanding our Data Engineering Team and hiring passionate professionals with extensive

knowledge and experience in building and managing large enterprise data and analytics platforms. We

are looking for creative individuals with strong programming skills, who can understand complex

business and architectural problems and develop solutions. The individual will work closely with the rest

of our data engineering and data science team in implementing and managing Scalable Smart Data

Lakes, Data Ingestion Platforms, Machine Learning and NLP based Analytics Platforms, Hyper-Scale

Processing Clusters, Data Mining and Search Engines.

What You’ll Need:

• 3+ years of industry experience in creating and managing end-to-end Data Solutions, Optimal

Data Processing Pipelines and Architecture dealing with large volume, big data sets of varied

data types.

• Proficiency in Python, Linux and shell scripting.
• Strong knowledge of working with PySpark dataframes, Pandas dataframes for writing efficient pre-processing and other data manipulation tasks.
  ● Strong experience in developing the infrastructure required for data ingestion, optimal

extraction, transformation, and loading of data from a wide variety of data sources using tools like Azure Data Factory,  Azure Databricks (or Jupyter notebooks/ Google Colab) (or other similiar tools).

• Working knowledge of github or other version control tools.
• Experience with creating Restful web services and API platforms.
• Work with data science and infrastructure team members to implement practical machine

learning solutions and pipelines in production.

• Experience with cloud providers like Azure/AWS/GCP.
• Experience with SQL and NoSQL databases. MySQL/ Azure Cosmosdb / Hbase/MongoDB/ Elasticsearch etc.
• Experience with stream-processing systems: Spark-Streaming, Kafka etc and working experience with event driven architectures.
• Strong analytic skills related to working with unstructured datasets.

Good to have (to filter or prioritize candidates)

• Experience with testing libraries such as pytest for writing unit-tests for the developed code.
• Knowledge of Machine Learning algorithms and libraries would be good to have,

implementation experience would be an added advantage.

• Knowledge and experience of Datalake, Dockers and Kubernetes would be good to have.
• Knowledge of Azure functions , Elastic search etc will be good to have.

• Having experience with model versioning (mlflow) and data versioning will be beneficial
• Having experience with microservices libraries or with python libraries such as flask for hosting ml services and models would be great.