QA Engineer

Essential Responsibilities

• Primary responsibility would be overseeing complete Load balancing and Network Packet Broker Operation.
• Load Balancing Engineer with hands-on experience on F5 BIG-IP GTM and LTM devices as well as Citrix NetScaler.
• Hands on experience in migrating other load balancer vendors to F5 Load Balancer
• Must be an expert in F5 and Citrix Load Balancing platforms.

Roles and Responsibilities

• Should analyse, design, implement and maintain the networks F5 and Citrix NetScaler Load Balancer infrastructure.
• Should inspect data packets and TCP, IP flow in network and application flow.
• Should possess a working knowledge of switches, routers, and firewall concepts.
• Should be able to configure and maintain F5 and Citrix Load Balancers, load balancing best practices.
• Should also take the responsibility to upgrade network operating systems software and hardware as per the management requirements.
• Must ensure that the plans are integrated effectively with the other aspects of the technical infrastructure.
• Extensive knowledge of Load balancing technology including algorithms and health check options.
• Knowledge and experience regarding F5 BIG-IP LTM VIP configuration with health check.
• Knowledge and experience with F5 BIG-IP GTM Wide IP configuration.
• F5 BIG-IP iRule programming and troubleshooting experience.
• Extensive knowledge of Citrix NetScaler VIP configuration with Knowledge and experience with Citrix NetScaler Global Load Balancing (Gslb) configuration.

We are a Research and Development firm focusing on building DeFi products revolving around Decentralized Liquidity Provision and active LP management.

We are a high-output research team of 5 from a variety of backgrounds, spanning from Machine Learning and System Engineering, all the way to fintech and business.

We are looking for a DeFi Software Engineer who has a deep understanding of Ethereum and tons of curiosity!

What are we Building:
We are building an Ethereum-based Protocol for structured yield and synths. The protocol leverages permissionless-ness and transparency of DeFi to create predictable yield and increase capital efficiency of capital deployed over various products in the DeFi ecosystem.

Our first product focuses on liquidity management on Uniswap V3.

Responsibilities

• Designing, building and testing smart contracts and related infrastructure
• Researching new DeFi protocols and its connectors and building on them
• Building real-time monitoring tools and working with our team on latency-sensitive operations
• Ethereum Node Infrastructure
• R&D at a protocol level

Qualifications

• Deep technical and practical understanding of DeFi protocols and DevOps practices for interfacing with them (both Ethereum and any other relevant one) Must have extensive knowledge of Solidity, smart contract development (web3js or ethersjs), testing and deployed a functioning smart contract on ETH mainnet.
• Knowledge of Javascript (knowledge of Golang/Python programming is nice to have).
• Must be comfortable working with either hardhat or truffle.
• Comfortable working in a dynamic, research-oriented team with several ongoing concurrent projects
• You look forward to working with an interdisciplinary team that longs to find solutions together.
• Knowledge of DeFi isn't a must but is a big plus!

The number of years of experience does not matter as long as you have built complex projects from scratch, a burning desire to learn more, constantly improve yourself and solving tricky problems on a daily basis. We're a small team so you can assure yourself that whatever you contribute - in terms of engineering, or otherwise - is always heard and discussed.

Benefits

• Competitive salary and performance-based bonuses
• A young startup work environment, where your initiatives and ideas count and are rewarded
• A unique open research environment, where everybody contributes and sees the full spectrum of our work, from inception to production
• The chance to shape our firm's legacy and exchange knowledge with the team on every part of what we do.

The role is remote. Please share github profiles and details of previous projects worked on (both commercial and personal).

Job Description

1. Execution of trade orders on behalf of clients in Cash Market, Future & Option, and Currency Segment
2. Building relationships with clients
3. Educating clients on where to invest/trade
4. Maintaining Daily status of clients

Qualification And Skills Required

1. NISM 8 certificate
2. Graduation (Preference Finance background)
3. Knowledge of the Stock Market is mandatory
4. Good Communication skills (Comfortable in English and Hindi)
5. Basic MS Office Skills

Desired Candidate Profile

• Graduation is a must. MBA is desirable
• Relevant work experience of 5 – 10 years in Digital Marketing
• D2C background preferred
• Experience in beauty and wellness desirable
• Prior experience of handling a monthly Ad budget of 50 Lakhs and above
• Excellent communication and listening skills
• Good project management and planning skills

• 3-5yrs of practical DS experience working with varied data sets. Working with retail banking is preferred but not necessary.
• Need to be strong in concepts of statistical modelling – particularly looking for practical knowledge learnt from work experience (should be able to give "rule of thumb" answers)
• Strong problem solving skills and the ability to articulate really well.
• Ideally, the data scientist should have interfaced with data engineering and model deployment teams to bring models / solutions to "live" in production.
• Strong working knowledge of python ML stack is very important here.
• Willing to work on diverse range of tasks in building ML related capability on the Corridor Platform as well as client work.
• Someone with strong interest in data engineering aspect of ML is highly preferred, i.e. can play dual role of Data Scientist as well as someone who can code a module on our Corridor Platform writing robust code.

Structured ML techniques for candidates:

1. GBM
2. XgBoost
3. Random Forest
4. Neural Net
5. Logistic Regression