Installation Manager

Lead Cloud Reliability Engineer

Job Responsibilities

● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.

Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

About Company

They are group of companies based out of Pune, seeks to use innovative pedagogy and technology to bring the best global standards of skill development to the world’s under-privileged citizens.

Responsibilities

• Formulate business strategy with others in the executive team

• Design policies that align with overall strategy

• Implement efficient processes and standards

• Coordinate customer service operations and find ways to ensure customer retention

• Plan, monitor, and analyze key metrics for day-to-day operations to ensure efficient and timely completion of tasks

• Ensure compliance and data accuracy

• Oversee the implementation of technology solutions throughout the organization

• Manage contracts and relations with customers, vendors, partners and other stakeholders

• Oversee expenses and budgeting to help the organization optimize costs and benefits

• Mentor and motivate teams to achieve productivity and engagement

• Report on operational performance and suggest improvements

Requirements and skills

• Proven experience as Head of Operations, Operations Director or similar leadership role

• Familiarity with all business functions including HR, finance, supply chain and IT

• Good IT knowledge

• Good with numbers and financial planning – budgets and business plans

• Outstanding communication and negotiation skills

• Excellent organizational and leadership ability

• Analytical mind

• Problem-solving aptitude

• Bachelor’s degree (or equivalent) or Masters in business administration or related field

Prospecting and Lead Generation US market - SaaS products

Farming, Cold reachout, existing relationships, partnerships

Product demo, proposal drafting, negotiation, contracts 

CRM (ZOHO) mgmnt

Exceed monthly, quarterly, annual targets

Key Responsibilities:

• Rewrite existing APIs in NodeJS.
• Remodel the APIs into Micro services-based architecture.
• Implement a caching layer wherever possible.
• Optimize the API for high performance and scalability.
• Write unit tests for API Testing.
• Automate the code testing and deployment process.

Skills Required:

• At least 3 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds.
• Excellent hands-on experience using MySQL or any other SQL Database.
• Good knowledge of MongoDB or any other NoSQL Database.
• Good knowledge of Redis, its data types, and their use cases.
• Experience with graph-based databases like GraphQL and Neo4j.
• Experience developing and deploying REST APIs.
• Good knowledge of Unit Testing and available Test Frameworks.
• Good understanding of advanced JS libraries and frameworks.
• Experience with Web sockets, Service Workers, and Web Push Notifications.
• Familiar with NodeJS profiling tools.
• Proficient understanding of code versioning tools such as Git.
• Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms.
• Should be a fast learner and a go-getter — without any fear of trying out new things Preferences.
• Experience building a large-scale social or location-based app.

• Act as primary day-to-day contact on analytics to agency-client leads
• Develop bespoke analytics proposals for presentation to agencies & clients, for delivery within the teams
• Ensure delivery of projects and services across the analytics team meets our stakeholder requirements (time, quality, cost)
• Hands on platforms to perform data pre-processing that involves data transformation as well as data cleaning
  
• Ensure data quality and integrity
  
• Interpret and analyse data problems
  
• Build analytic systems and predictive models
  
• Increasing the performance and accuracy of machine learning algorithms through fine-tuning and further
  
• Visualize data and create reports
  
• Experiment with new models and techniques
  
• Align data projects with organizational goals

• Min 6 - 7 years’ experience working in Data Science
• Prior experience as a Data Scientist within a digital media is desirable
• Solid understanding of machine learning
• A degree in a quantitative field (e.g. economics, computer science, mathematics, statistics, engineering, physics, etc.)
• Experience with SQL/ Big Query/GMP tech stack / Clean rooms such as ADH
• A knack for statistical analysis and predictive modelling
• Good knowledge of R, Python
• Experience with SQL, MYSQL, PostgreSQL databases
• Knowledge of data management and visualization techniques
• Hands-on experience on BI/Visual Analytics Tools like PowerBI or Tableau or Data Studio
• Evidence of technical comfort and good understanding of internet functionality desirable
• Analytical pedigree - evidence of having approached problems from a mathematical perspective and working through to a solution in a logical way
• Proactive and results-oriented
• A positive, can-do attitude with a thirst to continually learn new things
• An ability to work independently and collaboratively with a wide range of teams
• Excellent communication skills, both written and oral

Looking for the candidates who have a experience of sales, telesales and excel. Also client handling.

• Good experience in Javabackend/J2EE, Eclipse, Javascript, XML, Data Structures, Database 
• Should have good experience working in Springboot.
• Good experience in JSON / RESTful API / Web Services.
• Experience with Design Patterns.
• Experience in AWS and Queuing systems is an advantage
• Basic estimation experience
• Self starter and quick learner
• Should be able to work in a growing environment that is very dynamic and challenging
• Good oral and written communication skills
• Highly self motivated and directed
• Ability to work without a lot of supervision
• Experience in working in a team-oriented and collaborative environment.