Customer Success Executive

Key Deliverables (Essential functions & Responsibilities of the Job):

 Maintains MDs appointment schedule by planning and scheduling meetings, conferences,

teleconferences, travel. Assist in ensuring prompt and effective follow up on all Internal and external

meetings based on Calendar information.

 Single Point of contact from MD’s office for all business and administrative tasks/queries.

 Interactions with external agencies on behalf of the MD.

 Responsible for Data Management, MIS reporting, Dashboard Analysis, Presentations, Planning,

Strategizing, Monthly / Quarterly analysis and reviews and other business management

 Assist MD in data analysis and in key business parameters correlation for taking vital business decisions.

Hands on experience in preparing analytical reports & undertaking comparative studies. Coordination

with other department heads for business key parameters movement.

 Preparation of Business presentation for Board.

 Manage and ensure execution of specific assignments / projects initiated by the MD. Ensuring that

strategic initiatives are driven across the organization and key projects are tracked and monitored.

 Competition Scanning & Analysis of Industry Peers/New business

Key relationships and stakeholders

 Leadership Team

 All Functional Teams – India & UK

mail updated resume with current ctc, expected ctc, notice period

email: jobs[at]glansolutions[dot]com

satish: 88 O2 74 97 43

Software Tester with overall knowledge of testing lifecyle.

Good analytical skills

Preparing test scenarios and reports

Excellent communication skills.

Worked on selenium and test automation tools.

Client co-ordination, requirement understanding and mapping.

Job Summary

Cloud Production Support Engineer(PSE) is responsible for fulfilling the day-to-day infrastructure and service requests from the application teams across AWS, CI/CD solutions and observability tools. You will be expected to handle production issues in collaboration with the cloud Infrastructure and application teams.

Responsibilities and Duties

• Troubleshoot production Issues: When technical issues with the cloud infrastructure components arise, PSE must act quickly to analyse the available data and find the root cause of the problem. They may then develop a solution or escalate the problem to other engineering team members while providing stakeholders with progress updates.
• Infrastructure provisioning and modification: Application teams may request to create new infrastructure or modify the existing ones in AWS based on their requirements via the ticketing tool. PSE should ensure that the required data/info is available on the ticket and provide a resolution based on the given SLA.
• Alert Management: Alerts from the observability tools will be received on multiple channels according to the notification settings. PSEs are expected to acknowledge the alerts, troubleshoot the issue, close the alert based on the given SLA, or escalate to the cloud infra/DevOps team for further diagnosis.
• Onboarding, Off-boarding and access management: Whenever an employee joins or leaves the organization, you will receive an onboarding or offboarding request.
• Prepare Technical Documentation: PSEs must prepare documentation when logging product issues, as they must note all details, including their observations, diagnoses, and action steps. Other everyday tasks include weekly reports summarising production performance, upgrade release notes, and troubleshooting guides.
• Product Improvements: Since PSEs have good exposure to the product issues, they should work closely with the PMs+EMs, pass the feedback on the product, and get the improvements/fixes included in the product roadmap.
• Adherence to SLA and timelines: PSEs should always adhere to the timelines shared with other teams for closure of fixes and deliver outcomes as per the SLA guidance agreed with business teams
• Reporting: Report & track weekly regarding SLA metrics, tickets being worked and closed by PSEs/transferred tickets. Identify and devise how productivity can be captured at the individual level and report the same monthly.

Qualifications and Skills

• Degree in Computer Science/Information Technology.
• Two years or more experience in Cloud and system administration.
• Experience troubleshooting in complex environments using monitoring tools.
• Demonstrated experience with containerisation technologies (Docker, Kubernetes, etc.)
• Hands-on experience with the most common AWS services.

• Java – Spring, Hibernate, Data Structures & Algorithms
  • Knowledge on a Database system.
  3+ years of experience in software development.

Preferably BE/B-Tech engineering degree, but not a must.
• 3 years’ experience developing server-side Java – Spring, Hibernate and REST
• Full-SDLC cycle, with large-scale live roll-out participation as a developer.
• Expert understanding of the object-oriented design and programming concepts
• Good understanding of relational and non-relational database/datastores/caches best practices and challenges
• Have a passion for quality and writing clean, solid, readable code that scales and performs well
• Proficient in Git and familiarity with continuous integration
• A team player who values collaboration, innovation, and inclusion
• Comfortable working in an Agile environment
• Strong verbal and written communication skills

Responsibilities

• Build applications using JavaScript frameworks such as React.js, Vue.js or svelte.js

• Build reusable UI components, ensuring that UI code base is scalable and maintainable

• Ensure the technical feasibility of UI/UX designs

• Optimize application for maximum speed and scalability

• Good in writing unit test cases, and can follow test driven development approach

• Participate in user experience design and architecture initiatives

• Collaborate with other team members and stakeholders to ensure smooth delivery and elicit new

requirements

• Perform troubleshooting steps, if any, in the phase of implementation, customization, and

configuration

• Having good debugging skills and proficiency in tool to build next-generation web apps

Mandatory Skills

• Knowledge of Functional and OO JavaScript/ES6

• Built web Applications using HTML5, CSS3, and JavaScript with Frameworks like React.js(Hooks

and context API), Vue.Js and svelte.js

• Basic understanding of Typescript and type language concepts

• Clear fundamental understanding of server-side rendered apps, experience with frameworks like

Next,js or Nuxt.js is the Best

• Good understanding of lib and frameworks like Webpack (4.0), lodash, any charting lib like d3.js or

Victory

• Expertise in using JavaScript state Management libraries such as Redux or Mobx

• Prior experience in building responsive design layouts using a formal framework like Material UI.

• Familiarity with best practices (web security concepts, ensuring browser & device compatibility,

etc.)

• Experience in development and debugging tools for cross-browser issues

• Working knowledge of integrating with RESTful APIs for server-side functionality

• Ability to work well individually and in a group setting, under pressure and deadlines

Requirements

• B.Tech/ B.S. or M.Tech/ M.S. in Computer Science, IT or related field.

• 5-8 years of experience.

Desirable Skills

• Hands-on experience with using Git (handling branching and merging), any DevOps pipeline,

• Experience with Agile methodologies

Inside Sales Associate Responsibilities:

• Persuade prospective clients to engage in a phone conversation and/or meeting to discuss our insurance product.
• Connect with prospects over a call (min of 45 calls to be connected each day)
• Advise clients on the insurance policies that best suit their needs
• Customize insurance programs to suit individual clients
• Deliver approved policies to new clients and explain benefits of the policy
• Issue quotes, maintain client records and prepare reports
• Keep abreast of industry and market trends and best practices
• Scout and identify potential clients with need for insurance coverage
• Contact potential customers through calls, emails and arranged meetings
• Provide elaborate explanation of contract features, benefits, and possible downsides to an insurance coverage (as per market perspective).
• Ensure company policies and procedures are maintained when conducting the sales of insurance services
• Discuss with clients to obtain information in order to provide Quotation.
• Facilitate the payment and handover to post sales team.

Requirements:

• SME’s in corporate sales with minimum of 90% sales target achievement rate each month.
• Minimum of 4-5 hours of calling per day required.
• Corporate Sales experience with Tier 1 organisation contributing to the monthly targets
• Connect with prospects over a call (min of 45 calls to be connected each day)
• Previous working experience in Insurance.
• Excellent communication and presentation skills
• Resilient spirit and a persistent nature
• Impeccable interpersonal skills and friendly attitude
• Well organized with time, excellent time management abilities
• Should be a graduate.

We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. 

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

• Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
• Experience with Deep Learning preferred.
• Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
• Great communication skills
• Proficiency in using query languages such as SQL, Hive, Pig 
• Good applied statistics skills, such as statistical testing, regression, etc.
• Good scripting and programming skills 
• Data-oriented personality