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JOB DESCRIPTION
Experience: 3-5 years
Location: Bangalore
Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting.
Required Skills:
- Exp. - 3-5 years
- Experience in Core Java and Spring Boot.
- Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
- Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
- Good development experience with RDBMS.
- Good knowledge of multi-threading and high-performance server-side development.
- Basic working knowledge of Unix/Linux.
- Excellent problem solving and coding skills.
- Strong interpersonal, communication and analytical skills.
- Should have the ability to express their design ideas and thoughts.
JOB DESCRIPTION
What’s the job ? |
Software Engineer - FullStack |
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Where do I work? |
Deloitte - Chennai or Bangalore |
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Why are we here? |
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. |
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Responsibilities Mandatory skills to have |
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Company: PluginLive
About the company:
PluginLive Technology Pvt Ltd is a leading provider of innovative HR solutions. Our mission is to transform the hiring process through technology and make it easier for organizations to find, attract, and hire top talent. We are looking for a passionate and experienced Data Engineering Lead to guide the data strategy and engineering efforts for our Campus Hiring Digital Recruitment SaaS Platform.
Role Overview:
The Data Engineering Lead will be responsible for leading the data engineering team and driving the development of data infrastructure, pipelines, and analytics capabilities for our Campus Hiring Digital Recruitment SaaS Platform. This role requires a deep understanding of data engineering, big data technologies, and team leadership. The ideal candidate will have a strong technical background, excellent leadership skills, and a proven track record of building robust data systems.
Job Description
Position: Data Engineering Lead - Campus Hiring Digital Recruitment SaaS Platform
Location: Chennai
Minimum Qualification: Bachelor’s degree in computer science, Engineering, Data Science, or a related field. Master’s degree or equivalent is a plus.
Experience: 7+ years of experience in data engineering, with at least 3 years in a leadership role.
CTC: 20-30 LPA
Employment Type: Full Time
Key Responsibilities:
Data Strategy and Vision:
- Develop and communicate a clear data strategy and vision for the Campus Hiring Digital Recruitment SaaS Platform.
- Conduct market research and competitive analysis to identify trends, opportunities, and data needs.
- Define and prioritize the data roadmap, aligning it with business goals and customer requirements.
Data Infrastructure Development:
- Design, build, and maintain scalable data infrastructure and pipelines to support data collection, storage, processing, and analysis.
- Ensure the reliability, scalability, and performance of the data infrastructure.
- Implement best practices in data management, including data governance, data quality, and data security.
Data Pipeline Management:
- Oversee the development and maintenance of ETL (Extract, Transform, Load) processes.
- Ensure data is accurately and efficiently processed and available for analytics and reporting.
- Monitor and optimize data pipelines for performance and cost efficiency.
Data Analytics and Reporting:
- Collaborate with data analysts and data scientists to build and deploy advanced analytics and machine learning models.
- Develop and maintain data models, dashboards, and reports to provide insights and support decision-making.
- Ensure data is easily accessible and usable by stakeholders across the organization.
Team Leadership:
- Lead, mentor, and guide a team of data engineers, fostering a culture of collaboration, continuous improvement, and innovation.
- Conduct code reviews, provide constructive feedback, and ensure adherence to development standards.
- Collaborate with cross-functional teams including product, engineering, and marketing to ensure alignment and delivery of data goals.
Stakeholder Collaboration:
- Work closely with stakeholders to understand business requirements and translate them into technical specifications.
- Communicate effectively with non-technical stakeholders to explain data concepts and progress.
- Participate in strategic planning and decision-making processes.
Skills Required:
- Proven experience in designing and building scalable data infrastructures and pipelines.
- Strong proficiency in programming languages such as Python, R, Data visualization tools like Power BI, Tableau, Qlik, Google Analytics
- Expertise in big data technologies such as Apache Airflow, Hadoop, Spark, Kafka, and cloud data platforms like AWS, Oracle Cloud.
- Solid understanding of database technologies, both SQL and NoSQL.
- Experience with data modeling, data warehousing, and ETL processes.
- Strong analytical and problem-solving abilities.
- Excellent communication, collaboration, and leadership skills.
Preferred Qualifications:
- Experience in HR technology or recruitment platforms.
- Familiarity with machine learning and AI technologies.
- Knowledge of data governance and data security best practices.
- Contributions to open-source projects or active participation in the tech community.
Role Overview
We are seeking a motivated and technically versatile CMS Engineer (IC2) to support our transition from SharePoint to Contentful, while also contributing to the broader CMS ecosystem. This is an excellent opportunity for an early-career engineer to work on enterprise-grade platforms and microservice-based architectures.
Key Responsibilities
· 3-5 years of experience with SharePoint Online and/or enterprise CMS platforms.
· Familiarity with Contentful or other headless CMS solutions is a strong plus.
· Hands-on experience with Java, Spring Boot, and relational databases (e.g., PostgreSQL).
· Exposure to Kafka, Elasticsearch, or similar distributed technologies is desirable.
· Solid problem-solving and communication skills with an eagerness to learn.
What would you do here
SharePoint to Contentful Migration | Backend + CMS Integration
· Assist in maintaining and enhancing SharePoint Online content and features during the transition period.
· Support the migration of pages, documents, and metadata from SharePoint to Contentful.
· Contribute to the design and development of backend services that integrate with Contentful using Java, Spring Boot, and REST APIs.
· Write reusable services for content delivery, search indexing (via Elasticsearch), and event processing (via Kafka).
· Help develop APIs for CMS-based applications that interact with PostgreSQL databases.
· Troubleshoot CMS-related issues and support testing efforts during platform migration.
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.

- Minimum of 5+ years of experience in IT industry at VMware NSX Design/Implementation Projects.
- Minimum 3+ years of experience in industry leading load balancer and security products (Mandatory)
- Should have solid hands-on experience in VMware Avi, NSX V and/or NSX-T.
- Hands on installation and configuration experience with Base NSX-V & NSX-T Components, VTEP's, Load Balancer, LB Rules, Security components, etc.
- Strong understanding of and experience in TCP/IP, DNS, Http, SSL, DHCP.
- Proficiency in vSphere products and technologies like HA, vMotion, DRS, and Update Manager, Administration, etc would be a plus.
- Exposure to enterprise class architecture or implementation with suite of VMware products including vCenter, vSphere, SAN, RAID, Clustering, Consolidation, Load Balancing, etc.
- Troubleshooting and Debugging of VMware Architecture related issues.
- Strong understanding of Linux/Windows servers.
- Good to have some knowledge in vRA/vRO.
- Good to have Any Automation Experience with PowerShell/Python/Bash/Ansible and basic knowledge of VMware API’s.
- Good to have some knowledge of Kubernetes and Dockers.
- Succeed in a team environment.
Title:-Salesforce developer with Tibco integration
Location:-Pune
Exp:-4+yrs
CTC:-20-23lpa
KEY RESPONSIBILITIES:
- Develop enhancements to support the implementation of multiple strategic business units
- Analyze production support defects and develop code fixes
- Provide technical guidance to key business stakeholders
- Collaborate with Platform Manager and Technical Architect on technical and solution designs
- Work with other IT teams on integration related issues and enhancements
- Provide guidance to QA team on testing requirements
- Document technical and solution designs
- Adhere to the documented agile process and comply with corporate standards/policies
SPECIFIC KNOWLEDGE & SKILLS:
· Experience with the development of the following components:
o Apex Triggers and Batch classes
o Lightning Web Components
o Flows, Process Builder, and Workflows
o Web Services
- Knowledge and experience of Sales Cloud implementations
- Experience with the development of Tibco Scribe and the creation of data flows
- Extensive knowledge of all admin tasks
We are now looking to onboard an exceptional Fullstack Developer on our team at a Senior Software Engineer/ Engineering Lead level. They will be an integral part of our technology function and work on challenging, cutting-edge problems, and contribute to the solution design and development for various software systems and subsystems. They will develop new and interesting products for our B2B users and will work with the best minds in the industry. They will also be required to lead, hire, and set up a team to meet our product objectives.
We are looking for someone who can :
- Think like a product owner
- Design and build new products and manage their delivery
- Drive culture, learning, and development of team members and of the larger org
- Mentor, motivate & ensure delivery from a small team
- Take ownership and get the job done
- Ensure the quality of deliverables
You should have :
- 4-7 years of hands-on experience in the design and development of applications using NodeJs, ReactJs, MySQL, etc.
- Good architectural and design skills
- Strong coding, data structures, and algorithms
- An engineering degree preferably, from a top-tier school (or an equivalent experience)
- Proficient understanding of code versioning tools, such as Git/SVN
- Good understanding of asynchronous request handling, partial page updates, and AJAX
- Experience in Elastic Search/ Solr/ Amazon AWS
- Experience building sites to function cross-platform and cross-browser
- The ability to own end-to-end responsibility
- The role will give you an opportunity to work with a cross-functional team from Business, Product, and Design, and lead a team of 4-7 rockstar engineers.
We have:
- A team of aces, from top-tier schools and startups, to work with
- A fast-paced, data-driven, and fun work environment
- A huge appetite for new, disruptive, creative, and implementable ideas
- An open work culture
We offer:
- Competitive salary
- A great working environment with an opportunity to work directly with the founders on very exciting real-life problems
- Opportunity to grow really fast.
- Opportunity to hire a team & mentor them.
- ESOPs
If this is something that interests you, let's talk.









