Engineering Manager

Roles & Responsibilities

1. Build and develop commercial relationships with our key targeted B2B partners (e-rickshaw, battery dealers and distributors).

2. Establish a systematic approach for partner outreach and B2B relationship management.

3. Strategize newer ways to grow current partnerships & form new ones.

4. Understand the current market trends and build & grow relationships accordingly.

5. Negotiate and finalize the partnership deals.

Desired Skills

1. 3+ years of relevant work experience.

2. Successfully built and managed B2B partnerships in the past.

3. Excellent at Opportunity Analysis and Business Planning.

If you are someone

1. Who is resourceful, and able to effectively negotiate and close the B2B deals. You prefer traveling and visiting B2B partners.

2. Understand internal dynamics and partner profiles to create a win-win situation.

3. Energetic, hunger to learn.

4. Comfortable getting your hands dirty and high on execution.

This Opportunity is for YOU!

Roles and Responsibilities 

1) Understand client requirements and functionalities. 

2) Write well-designed, testable, efficient code. 

3) Responsible for solving complex technical issues. 

4) Ensure quality projects are delivered within defined timelines. 

5) Active involvement in client communication to understand functional requirements. 

6) Maintain high standards of quality for code, documentation and other deliverables. 

Required Skills 

1) Good experience in Angular

2) Hand on Node.JS./Express JS 

3) Database: MYSQL/MongoDB 

4) Experience in JavaScript, TypeScript. 

5)Good experience in HTML5, CSS3, JavaScript, Jquery 

6) Experience working in an Agile environment. 

7) Good communication skills.

The ideal candidate loves talking to people and proactively solving issues. You will be responsible for converting customers into passionate evangelists

Responsibilities

• Communicate with customers via phone, email and chat

• Provide knowledgeable answers to questions about product, pricing and availability

• Work with internal departments to meet customer's needs

• Data entry in various platforms Qualifications

• Freshers can apply

• Excellent phone etiquette and excellent verbal, written, and interpersonal skills

• Ability to multi-task, organize, and prioritize work

• Responsible for the product engineering road map, quality assurance, and various services organizations.
• Responsible for delivering high-quality software products, on time and within budget.
• Work with the CTO, Directors, PM, and Business to develop a long-term product plan, products and manage the release planning cycles for all products
• Responsible for managing the staffing requirements and skillsets for the Customer Interaction Team, assuring that sub-teams are staffed with sufficient skilled resources and meeting product deliverables.
• Responsible for developing and managing a skills escalation and career trajectory path for the product engineering organization.
• Responsible for implementing tools and processes to optimize product engineering throughput and quality.
• Ensuring that key milestones are met and that solutions delivered are of the highest quality possible
• Delivery on project timelines emphasis key deliverables
• Ensure legacy application platform and a stable production environment.
• Ensure controlled releases to production, with amongst other measures, stringent code reviews from standards and performance perspectives. Use metrics to demonstrate success.
• Decisive with team decisions and lead and support the team
• Understand all products with their interrelationships and collective relevance to business and ensure appropriate availability and stability to the Business.
• 7-10 Yrs/Industry -Internet/ Educational Qualification - B.Tech (Computer science mandatory) from prem. institute

Experience & Skills Required

• Excellent communication skills, fluent English - Communicates effectively in all situations and creates an environment of open and effective communication.
• Strong decision-making skills, metric-driven operations, and ability to motivate and maximize productivity in a fast-paced environment
• Knowledge of various Development practices and programming languages
• Ability to work with multiple levels in the organization with key business holders
• Preferred if has past experience around Customer Account Mgmt System.
• Preferred if worked Supply - Chain Model.Specifically around Demand and different dimension of demand generation and management
• Excellent with Tech Stack like Java
• Should have awareness of best practices for Software development
• Should be keen on delivering a top-notch product.
• 9-15 years of software development experience, with managerial capacity

Summary
Our Kafka developer has a combination of technical skills, communication skills and business knowledge. The developer should be able to work on multiple medium to large projects. The successful candidate will have excellent technical skills of Apache/Confluent Kafka, Enterprise Data WareHouse preferable GCP BigQuery or any equivalent Cloud EDW and also will be able to take oral and written business requirements and develop efficient code to meet set deliverables.

Must Have Skills

• Participate in the development, enhancement and maintenance of data applications both as an individual contributor and as a lead.
• Leading in the identification, isolation, resolution and communication of problems within the production environment.
• Leading developer and applying technical skills Apache/Confluent Kafka (Preferred) AWS Kinesis (Optional), Cloud Enterprise Data Warehouse Google BigQuery (Preferred) or AWS RedShift or SnowFlakes (Optional)
• Design recommending best approach suited for data movement from different sources to Cloud EDW using Apache/Confluent Kafka
• Performs independent functional and technical analysis for major projects supporting several corporate initiatives.
• Communicate and Work with IT partners and user community with various levels from Sr Management to detailed developer to business SME for project definition .
• Works on multiple platforms and multiple projects concurrently.
• Performs code and unit testing for complex scope modules, and projects
• Provide expertise and hands on experience working on Kafka connect using schema registry in a very high volume environment (~900 Million messages)

• Provide expertise in Kafka brokers, zookeepers, KSQL, KStream and Kafka Control center.
• Provide expertise and hands on experience working on AvroConverters, JsonConverters, and StringConverters.
• Provide expertise and hands on experience working on Kafka connectors such as MQ connectors, Elastic Search connectors, JDBC connectors, File stream connector,  JMS source connectors, Tasks, Workers, converters, Transforms.
• Provide expertise and hands on experience on custom connectors using the Kafka core concepts and API.
• Working knowledge on Kafka Rest proxy.
• Ensure optimum performance, high availability and stability of solutions.
• Create topics, setup redundancy cluster, deploy monitoring tools, alerts and has good knowledge of best practices.
• Create stubs for producers, consumers and consumer groups for helping onboard applications from different languages/platforms.  Leverage Hadoop ecosystem knowledge to design, and develop capabilities to deliver our solutions using Spark, Scala, Python, Hive, Kafka and other things in the Hadoop ecosystem. 
• Use automation tools like provisioning using Jenkins, Udeploy or relevant technologies
• Ability to perform data related benchmarking, performance analysis and tuning.
• Strong skills in In-memory applications, Database Design, Data Integration.

Job Location: Jaipur

Experience Required: Minimum 3 years

About the role:

As a DevOps Engineer for Punchh, you will be working with our developers, SRE, and DevOps teams implementing our next generation infrastructure. We are looking for a self-motivated, responsible, team player who love designing systems that scale. Punchh provides a rich engineering environment where you can be creative, learn new technologies, solve engineering problems, all while delivering business objectives. The DevOps culture here is one with immense trust and responsibility. You will be given the opportunity to make an impact as there are no silos here. 

Responsibilities:

• Deliver SLA and business objectives through whole lifecycle design of services through inception to implementation.
• Ensuring availability, performance, security, and scalability of AWS production systems
• Scale our systems and services through continuous integration, infrastructure as code, and gradual refactoring in an agile environment. 
• Maintain services once a project is live by monitoring and measuring availability, latency, and overall system and application health.
• Write and maintain software that runs the infrastructure that powers the Loyalty and Data platform for some of the world’s largest brands.
• 24x7 in shifts on call for Level 2 and higher escalations
• Respond to incidents and write blameless RCA’s/postmortems
• Implement and practice proper security controls and processes
• Providing recommendations for architecture and process improvements.
• Definition and deployment of systems for metrics, logging, and monitoring on platform.

Must have:  

• Minimum 3 Years of Experience in DevOps.  
• BS degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.
• Strong inter-personal skills.
• Must have experience in CI/CD tooling such as Jenkins, CircleCI, TravisCI
• Must have experience in Docker, Kubernetes, Amazon ECS or  Mesos
• Experience in code development in at least one high-level programming language fromthis list: python, ruby, golang, groovy
• Proficient in shell scripting, and most importantly, know when to stop scripting and start developing.
• Experience in creation of highly automated infrastructures with any Configuration Management tools like: Terraform, Cloudformation or Ansible.  
• In-depth knowledge of the Linux operating system and administration. 
• Production experience with a major cloud provider such Amazon AWS.
• Knowledge of web server technologies such as Nginx or Apache. 
• Knowledge of Redis, Memcache, or one of the many in-memory data stores.
• Experience with various load balancing technologies such as Amazon ALB/ELB, HA Proxy, F5. 
• Comfortable with large-scale, highly-available distributed systems.

Good to have:  

• Understanding of Web Standards (REST, SOAP APIs, OWASP, HTTP, TLS)
• Production experience with Hashicorp products such as Vault or Consul
• Expertise in designing, analyzing troubleshooting large-scale distributed systems.
• Experience in an PCI environment
• Experience with Big Data distributions from Cloudera, MapR, or Hortonworks
• Experience maintaining and scaling database applications
• Knowledge of fundamental systems engineering principles such as CAP Theorem, Concurrency Control, etc. 
• Understanding of the network fundamentals: OSI, TCI/IP, topologies, etc.
• Understanding of Auditing of Infrastructure and help org. to control Infrastructure costs. 
• Experience in Kafka, RabbitMQ or any messaging bus.

Job Overview

                         We are looking for a ML Architect to help us 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. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations.  They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• 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
• Creating automated anomaly detection systems and constant tracking of its performance
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Secure and manage when needed GPU cluster resources for events
• Write comprehensive internal feedback reports and find opportunities for improvements
• Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.

Skills and Qualifications

• Strong Hands-on experience in Python Programming
• Working experience with Computer Vision models - Object Detection Model, Image Classification
• Good experience in feature extraction, feature selection techniques and transfer learning
• Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
• Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
• Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
• Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
• Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
• Exposure to OpenCV Familiarity with GPUs + CUDA
• Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
• We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
• Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.