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Job Title : IBM MQ Administrator
Experience : 8+ Years
Locations : Bangalore / Pune / Hyderabad
Positions Open : 5
Shift Timings :
- 07:00 AM – 04:00 PM IST
- 02:00 PM – 11:00 PM IST
- 10:30 PM – 07:30 AM IST (Night Shift)
Work Mode : Hybrid (3 Days Work from Office)
Job Summary :
We are seeking experienced and skilled IBM MQ Administrators to join our team.
The ideal candidate will have a deep understanding of IBM MQ, IBM WebSphere, and associated middleware technologies.
This role involves managing and maintaining the messaging infrastructure to ensure secure, efficient, and reliable communication between applications across the enterprise.
Key Responsibilities :
- Administer, monitor, and support IBM MQ infrastructure.
- Manage and troubleshoot IBM WebSphere, Tomcat, JBoss, and Apache environments.
- Configure and maintain AppConnect integrations.
- Perform regular system health checks, maintenance, upgrades, and patch management.
- Monitor message queues, logs, and system performance for timely issue resolution.
- Work in a multi-shift environment and provide on-call support as needed.
- Collaborate with application and infrastructure teams to support deployments and troubleshooting.
Must-Have Skills :
- IBM MQ Administration
- IBM WebSphere
- Apache Tomcat
- AppConnect
- JBoss
- Apache HTTP Server
Good-to-Have Skills :
- IBM WebSphere Application Server (WAS)
- Microsoft IIS
tailwindcss
AngularJS (1.x)
Angular (2+)
React.jsProficiency in Tailwind CSS for development.
Experience in troubleshooting and debugging frontend applications.
Solid understanding and hands-on experience with either Angular or React.
Strong communication skills with the ability to collaborate effectively within a team.
A keen eye for detail and a passion for creating seamless user experiences.
Java
Python
PostgreSQLEngineering Manager – Backend
Opportunity in this role / Why should you join us?
Series D funded supply chain startup.
Requirements
- Software engineering experience of greater than or equal to 7 years
- Experience managing a technical team of at least 3 people
- Exposure to consumer facing products
- Strong technical background and ability to contribute to design and review
- Familiarity with our tech stack or an analogous tech stack
Technologies Used
- Web application frameworks : Ktor, Spring Boot, Ruby on Rails, Node.js, Java Play, AWS Lambda
- Languages : Kotlin, Java, Ruby, Javascript, Python
- Datastores : PostgreSQL, Aerospike, Redis, DynamoDB, Amazon Redshift
- Communication : HTTP, Amazon SQS, Sidekiq, Amazon SNS
- Server management : Amazon ECS, Docker
- Design frameworks : Domain Driven Design, Clean Architecture, Layered Architecture
Roles and Responsibilities
This role requires a person to drive the engineering of a set of products by aligning with business and product
stakeholders and building and upskilling a team to aid in this. The responsibilities include:
Business and product alignment and planning
- Work closely with business and product stakeholders to understand and align with product initiatives and iterations.
- Help shape the engineering requirement by aligning with the product manager and fleshing out concepts and user flows.
- Formalize business requirements into roadmaps and sprints.
- Product and system development
- Drive high level modeling and design for projects, also focusing on non-functional aspects, including but not limited to database design, communication protocols, deployment systems, etc.
- Drive adoption of design frameworks like domain driven design, clean architecture, etc., resulting in a robust layered architecture.
- Drive good code review practices, using the review process as a mentoring tool to upskill people.
- Ensure test coverage of systems, partly through unit and integration testing, and partly through blackbox testing by collaborating with the Quality Assurance team, via good testing practices.
- Project Management
- Drive the execution of the project by delegating tasks effectively.
- Resolve blockers through technical expertise, negotiation and delegation.
- Estimate timelines and ensure adherence to them through effective sync-ups and course corrections.
- Maintenance
- Formulate SLAs and oversee their adherence for the various systems, effectively tracking issues and performance inefficiencies.
- Performance monitoring and optimization for systems.
- Drive technical re-design, remodeling and refactoring of systems for robustness and sustainability.
- Team Management
- Typically manage a team of 3 - 6 members and a portfolio of 3 - 6 products.
- Do periodic assessment of reportees, chart their career growth paths and train them.
- Recruit members into the team by collaborating effectively with the recruitment team.
Product Overview
You will be contributing to products concerning both customers and partner drivers. Product sectors
include:
- Growth : You’ll build tools to help boost user growth on the platform including our industry bestdriver on-boarding, training and certification system, referral system, and lead managementmmodels.
- Lifecycle Management : Build tools to help users engage with the platform better, which includes rewards and recognition module, subscription service, account management tools, partner and customer wallets and payout modules, and churn detection systems among others.
- Transaction Experience : You’ll help deliver the most delightful booking experience to our customers and drivers. As part of this team, you’ll be responsible for our core booking system, pricing and payment systems, location tracking and filtering services, fraud prevention systems, and in-app ticketing and support among others.
- Fulfilment : As part of the fulfilment team, you’ll work on systems which ensure high degree of ride fulfilment on the platform. Tools including allocation methodologies and system, dynamic pricing, dynamic partner routing, and partner re-activation tools among others.
- Enterprise Solutions : You’ll help Porter’s enterprise customers achieve delivery excellence. You’ll build tools for contract management, fleet management, fleet and route optimisation tools, alerting and monitoring tools, and analytics suite among others.
Roles and Responsibilities-
1. Skilled on MS Excel
2. Knows Vlookup, Pivot Table, can run different formulas on MS Excel
3. To leverage technology solutions to meet the company's organizational needs.
4. Develop recommendations that optimize the use of technology within an
organization.
5. Designing and implementing functional and cost-efficient technology systems.
6. Skilled on different Inhouse applications/tools & on Google doc, sheet.
Qualification
1. Bachelors degree or the equivalent combination of education and experience.
2. Command of English.
3. Computer Science - IT Graduate / Postgraduate (BTech / BE / BCA / BSC /
MTech / ME / MCA / MSC). - Preferred
4. Immediate joinee candidate preferred.
C#
.NETOur client is a rapid growth stage Edtech start-up focused on solving the teacher shortage crisis in the US education system using technology by bringing teachers to the classrooms and giving them access to the right tools to teach students in a highly engaging manner.
They have a development center in Mumbai and they are looking to scale up the teams in Pune and Bangalore as well.
What does the role entail:
● Design, develop, and maintain software applications using .NET Core ,C#
● Write clean, maintainable, and efficient code
● Collaborate with cross-functional teams to analyze requirements, design solutions, and implement new features
● Develop and implement unit tests and integration tests to ensure software quality
● Troubleshoot and debug applications
● Participate in code reviews and provide constructive feedback to peers
Required Skills:
● B.E/B.Tech in computer science
● 1 - 3 years of experience
● Hands-on experience following skills
MS Technologies: NET CORE 7+, C#
Backend: MSSQL / MySQL /Postgres
● Preferred understanding of Cloud: Azure/AWS.
● Strong understanding of object-oriented programming, Design principles, data structures, and algorithms
● Worked in an Agile software development environment
Java
Spring Boot2. Data structure (HashMap, treemap, arraylist, linklist),
3. Streaming concepts (partitioning), Junit
4. Exception handling and workflow, Test coverage (why its important, how it gets handled at
java and spring layer, morckito library if the candidate knows that would be great),
5. OOPS concepts (inheritance),
6. Threading (mutex, threadpool, threading implementation, singleton factory, builder pattern,
abstract)
7. Real world problems (atleast 1 to be asked in IAAS interview) (movie ticket booking, parking
booking), To be asked to only selected candidates: Puzzle (probability/)
8. Memory management: Garbage Collection (GC), Heap dump, Thread dump, apache, google
library.
9. Spring frameworks and database. Data lakes, star lakes, schemas, indexing, partitioning,
optimize query, hibernate.
10. Data warehouse vs nosql vs time series database (KDB, DB2), data storage patterns.
11. Types of transaction control. Column level.
12. Query formation, grouping, nested queries, joints (inner joints, outer joints)
13. If candidate has spring exp: Architecture and various layers of Spring, coupling concepts,
dependency injections, inheritance, Bean level, JMS connection pooling concepts, Lambda,
Annotation vs XML, Kafka, Hibernates.
14. Good to have AI/ML inclination.
Bifurcation of Must have and good to have skills:
Must have skills Good to have skills
Core java (60%), spring (15%), and databases
(15%).
Mockito library
Data structure (HashMap, tree map, array list,
link list)
Threadpool
Streaming concepts (partitioning) Memory management
Exception handling Lambda, Annotation vs XML, Kafka, Hibernates
OOPS GCP or any cloud technology
Threading (singleton factory, builder pattern) AI/ML inclination
Real world problems (movie ticket booking,
parking booking)
Spring frameworks and database (indexing,
partitioning, layers of Spring, JMS connection)
Data warehouse vs NoSQL vs time series
database
Junit
Conduct market research to identify selling possibilities and evaluate customer needs
Actively seek out new sales opportunities through cold calling, networking and social media
Set up meetings with potential clients and listen to their wishes and concerns
Prepare and deliver appropriate presentations on products and services
Create frequent reviews and reports with sales and financial data
Ensure the availability of stock for sales and demonstrations
Participate on behalf of the company in exhibitions or conferences
Negotiate/close deals and handle complaints or objections
Collaborate with team members to achieve better results
Gather feedback from customers or prospects and share with internal teams
Research and recommend prospects for new business opportunities
Research and analyze sales options
Build and maintain relationships with clients and prospects
Stay current with trends and competitors to identify improvements or recommend new products
Collect and analyze information and prepare data and sales reports
Build and maintain professional networks
Meet with potential clients to determine their needs
Should be able to penetrate B2B & B2C Market
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, 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.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Adobe IllustratorCore areas of work:
- Creating product inspiration pieces and demos for the ad products we develop
- Design, update and manage the website together with the design team
- Support Product Marketing with timely and effective marketing collaterals
- Drive the internal brand agenda for employees, brand and business
- Design for social media.
- Design presentation decks for Sales and Marketing
You are the one, if:
- You are attentive to details and an extra space ticks you off.
- You value time
- You are good at expressing your thoughts, be it in any form - written, verbal or visual.
- A good challenge exites and motivates you.
- You have some understanding of the digital advertising/marketing ecosystem. If not, you are someone who is keen to learn.
- You can independently handle projects and take them from concept to execution.
- You are passionate about something outside of work.
- You have realised that I misspelt 'excites' in point no. 4
Vue.jsAngularJS (1.x)Angular (2+)React.js
JavascriptWe are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. Should be familiar with Agile methodologies.
Responsibilities:Participating in the design and creation of scalable software Writing clean, functional code on the front- and back-end Testing and fixing bugs or other coding issues Work with development teams and product managers to ideate software solutions Design client-side and server-side architecture Build the front-end of applications through appealing visual design Develop and manage well-functioning databases and applications Write effective APIs Test software to ensure responsiveness and efficiency Troubleshoot, debug and upgrade software Create security and data protection settings Build features and applications with a mobile responsive design Write technical documentation Work with data scientists and analysts to improve software
Requirements:Proven experience as a Full Stack Developer or similar role Experience developing desktop and mobile applications Familiarity with common stacks Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery) Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js) Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design Excellent communication and teamwork skills Great attention to detail Organizational skills An analytical mind
Education :B.E/B.Tech/MCA/MCS/BCS
Ruby on Rails (ROR)AngularJS (1.x)React.js
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