Competitive Programming Lead

CoinFantasy is looking for a tech enthusiast working primarily on blockchain technology to be part of the core blockchain team at CoinFantasy. You would be a part of the Roadmap team that is working on the architecture, design, development, and deployment of our decentralised platform.

Your primary responsibilities would be analysing requirements, designing blockchain technology around a certain business model, and writing smart contracts.

Job Responsibilities

• Administer our blockchain, database, and DevOps infrastructure.
• Cross team collaboration to coordinate safe, efficient releases.
• Build complex pipelines for
• Databases, Messaging, Storage, Compute in AWS.
• Build deployment pipeline with Github CI (Actions).
• Build tools to reduce occurrences of errors and improve our protocols.
• Develop software to integrate with internal back-end systems.
• Perform root cause analysis for production errors.
• Investigate and resolve technical issues.
• Design procedures for system troubleshooting and maintenance.

Requirements

• 8+ years of Experience working with DevOps, Infrastructure, Site Reliability or Cloud Engineering
• Understanding the entire tech stack of Blockchain Dapps 
• Strong experience working with any configuration management tools 
• Languages: Any modern programming language 
• Experience working with some of the major public clouds. e.g. AWS, Azure
• Competent with the “basics”: E.g. Computer Networking
• Self-motivated individual with enthusiasm for learning and building things
• Collaborative, communicative, and confident in their abilities to work well with all team members at all seniority and skill levels
• Hands-on experience with Rust/Substrate and Contribution to open-source blockchain projects is an added advantage

About Us

CoinFantasy is a Play to Invest platform that brings the world of investment to users through engaging games. With multiple categories of games, it aims to make investing fun, intuitive, and enjoyable for users.

It features a sandbox environment in which users are exposed to the end-to-end investment journey without risking financial losses.

Website: https://www.coinfantasy.io/

Benefits

• Competitive Salary
• An opportunity to be part of the Core team in a fast-growing company
• A fulfilling, challenging and flexible work experience
• Practically unlimited professional and career growth opportunities

1.      Experience working on Linux Ubuntu, Nginx, Application Deployment & Implementation

2.      Excellent understanding of Python.

3.      Configuration and managing databases such as MySQL, Mongo

4.      Excellent troubleshooting

5.      Working knowledge of various tools, open-source technologies, and cloud services

6.      Awareness of critical concepts in DevOps and Agile principles

7.      Understanding customer requirements and project KPIs

8.      Implementing various development, testing, automation tools, and IT infrastructure

9.      Planning the team structure, activities, and involvement in project management activities.

10.   Managing stakeholders and external interfaces

11.   Setting up tools and required infrastructure

12.   Defining and setting development, test, release, update, and support processes for DevOps operation

13.   Have the technical skill to review, verify, and validate the software code developed in the project.

14.   Troubleshooting techniques and fixing the code bugs

15.   Monitoring the processes during the entire lifecycle for their adherence and updating or creating new processes for improvement and minimizing the wastage

16.   Encouraging and building automated processes wherever possible

17.   Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management

18.   Incidence management and root cause analysis

19.   Coordination and communication within the team and with customers

20.   Selecting and deploying appropriate CI/CD tools

21.   Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)

22.   Mentoring and guiding the team members 

23.   Monitoring and measuring customer experience and KPIs

24.   Managing periodic reporting on the progress to the management and the customer

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 2.5 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.

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.

To get transparent and quick status update, apply on: https://rb.gy/lealon

What you need to have:

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology

Location: Mumbai- We-Work Chromium, Powai

Requirements: Immediate joining required

Field: Education Technology. Product is a blockbuster and has shown tremendous conversion potential (20%+) allowing significant upside for a passionate, high-energy growth hacker.

Global Operations: The position is for global operations for extremely high growth opportunity. The global operations would happen in night shifts from 1am to 10am

Profile Roles and Responsibilities include but not limited to:  

1. Initiating phone conversations with parents who complete the demo classes for their kids
2. Intensely following up with the prospects and closing the sales within the sales cycle
3. Diligently communicating and priming the lead through channels like email, whatsapp, SMS, calls
4. Achieving the weekly targets in a high pressure performance driven competitive environment
5. Monitoring self-performance at all times while also contributing to the team performance, keeping track of factors like conversion factor, Average revenue generated per lead, Average revenue per sale, etc

 Skills/Abilities

1. Exceptional communicator and influencer who can deliver sales pitch like a charm
2. Result driven with experience of extremely target centric job
3. Confident and persevering risk-taker who thrives in a high-performance high-growth environment
4. Self-learners with high grasping ability so that you can learn about the product within 2 days