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Exciting Opportunity: Linux Engineer (L3)
Are you a seasoned Linux Engineer with over 10 years of experience in an enterprise technical support environment? Join our team and bring your expertise to provide advanced technical support for global HPE customers. We're looking for someone who can apply their deep technical knowledge in Linux administration, technical security management, database management, and performance management for critical, high-risk customers. If you're passionate about solving complex technical issues and delivering superior solutions, this role is for you!
Key Responsibilities:
- Provide advanced technical support via phone, email, and remote sessions
- Reproduce, troubleshoot, and resolve issues related to Linux systems
- Perform incident, escalation, and change management independently
- Conduct proactive problem management and root cause analysis
- Apply security patches, monitor environments for compliance, and handle disaster recovery planning
- Collaborate with cross-functional teams and vendors to resolve complex technical issues
- Lead and manage projects related to Knowledge Transfer (KT), Transition, and SOP creation
- Deliver exceptional customer satisfaction and maintain high service levels
Technical Skills Required:
- Strong expertise in installing, configuring, troubleshooting, and administering all Linux flavors
- Experience with Linux vulnerability assessment and mitigation
- Knowledge of Redhat Satellite, Oracle Linux Ksplice, Cluster Services, and Oracle RAC clusters
- Familiarity with SAN technologies, HP Blade Servers, Rackmount Servers, and Virtual Connect OS
- Disaster recovery planning and DR testing experience
- Experience in routine performance analysis, capacity planning, and security audits
- Proficiency with HPE Service Guard cluster on RHEL
Non-Technical Skills:
- Excellent written and verbal communication skills
- Commitment to delivering high-quality solutions and customer satisfaction
- Ability to work independently and lead technical teams in resolving complex issues
- Strong collaboration skills with the ability to influence customers and internal stakeholders
- Experience in delivering training and mentoring team members
Eligibility & Qualifications:
- Bachelor’s degree in Engineering (or equivalent)
- 10+ years of experience in Enterprise technical support
- Certifications like RHCE, Oracle Enterprise Linux, ITIL are a plus
- Flexibility to work in a 24x7 support environment
This role is perfect for a Linux professional looking to take ownership of complex issues in a global, mission-critical environment.
🌟 Apply Now to join our team and make a significant impact in the world of enterprise Linux support!
Full-Stack WordPress Developer
Experience: 5+ years preferred — or if you have the skills to back it up, we’d love to hear from you.
About LH2 Holdings:
LH2Holdings is an AI Operating System to scale digital content brands and creators. We buy or partner with great digital content brands (web platforms, YouTube channels, apps, podcasts, newsletters, etc) and scale them. LH2 is being built by second-time founders, who have scaled tech platforms with hundreds of millions of users in their previous ventures. Our vision is to enable digital creators to scale as easily as large conglomerates do.
Job Description:
We are seeking a Full-Stack WordPress Developer with a strong background in both front-end and back-end development, and solid experience managing high-traffic websites. The ideal candidate will be comfortable working with Nginx, load balancers, Linux servers, and will have a keen eye for SEO best practices and performance optimization using tools like PageSpeed Insights.
Key Responsibilities:
- Develop, customize, and maintain WordPress themes and plugins.
- Optimize websites for speed, performance, and scalability.
- Ensure websites follow SEO best practices (technical and on-page).
- Monitor and improve PageSpeed Insights scores across desktop and mobile.
- Set up and manage Nginx web servers, load balancers, and related configurations.
- Handle MySQL/MariaDB database tuning and optimization.
- Work with Linux-based environments (Ubuntu) for server maintenance, deployments, and troubleshooting.
- Build and maintain websites capable of handling high traffic volumes without performance degradation.
- Implement caching strategies (object/page/server-side), CDNs, and other performance tools.
- Collaborate with designers, content teams, and stakeholders to deliver robust, SEO-friendly digital experiences.
Required Skills:
- Expert-level experience with WordPress development (themes, plugins, hooks, custom post types).
- Proficient in PHP, JavaScript (Vanilla & jQuery), HTML5, CSS3, and REST APIs.
- Strong understanding of technical SEO and Core Web Vitals.
- Familiarity with Google PageSpeed Insights, Lighthouse, and GTmetrix.
- Hands-on experience with Nginx, load balancers, and server configuration.
- Deep knowledge of MySQL database optimization and query performance.
- Proficient in managing Linux servers, Cloudflare configuration, SSH, CLI-based tools, cron jobs, etc.
- Experience with cloud hosting platforms such as DigitalOcean and AWS.
- Experience handling high-traffic websites with performance and uptime in mind.
- Familiar with version control systems like Git.
Nice to Have:
- Experience with WooCommerce.
- CI/CD pipeline knowledge (GitHub Actions, GitLab CI, etc.).
- Familiarity with Docker or other container tools.
- Monitoring and alerting tools like New Relic, Datadog, or Netdata.
Job Title : Senior Backend Engineer – Java, AI & Automation
Experience : 4+ Years
Location : Any Cognizant location (India)
Work Mode : Hybrid
Interview Rounds :
- Virtual
- Face-to-Face (In-person)
Job Description :
Join our Backend Engineering team to design and maintain services on the Intuit Data Exchange (IDX) platform.
You'll work on scalable backend systems powering millions of daily transactions across Intuit products.
Key Qualifications :
- 4+ years of backend development experience.
- Strong in Java, Spring framework.
- Experience with microservices, databases, and web applications.
- Proficient in AWS and cloud-based systems.
- Exposure to AI and automation tools (Workato preferred).
- Python development experience.
- Strong communication skills.
- Comfortable with occasional US shift overlap.
good understanding of the Google semantic keywords/LSI usage in long-form content writing and development.
Functional Responsibility:
- Perform keyword research and include Google semantic keywords/LSI and write engaging, long form content
- Excellent grammar and writing skills
- Understand the target audience and write focused, SEO optimized content while following SEO best practices
- Ability to generate content for different content marketing platforms and
- maintaining tonality in accordance with the brand
- Collaborate with external stakeholders/agencies to get work done in a defined and structured way
- Developing SEO articles/landing pages via thorough industry and competitor research
- Design and developing SEO content for Social Media platforms and Youtube
Technical Skills:
- SEO content writing and management skills
- Excellent writing and grammar skills
- Working knowledge of Google Analytics, Keyword Planner, Search Console, SEMRush, Ahrefs, Moz etc.
Soft Skills:
- Detail-oriented, multitasker
- Organized and creative
- Passionate about learning new techniques and tools
- Excellent written and verbal communication skills
- Team player with a willingness to learn new skills
- Experienced in defining & realizing end-to-end Technical Architecture for large scale enterprise systems. Ability to identify and define non-functional requirements and design systems to meet the same.
- Strong experience in OOAD and in applying Design patterns effectively
- At least 5 years of hands-on experience in Java/ JEE technologies like Struts/JSF, Spring, EJB, JMS Experience only on front-end technologies like Struts, JSP, Servlets, HTML will not be sufficient.
- Experience in performance testing and optimization of JEE systems on any of the following application servers - WebLogic, WebSphere and JBoss. Deep expertise in any one of the application servers is a must
- Strong experience in at least one RDBMS (Oracle, MS-SQL, MySQL).
- Experience in creating and reviewing technical documents like Architecture blueprint, Design specifications, Deployment architecture, Workload modelling etc
- Excellent understanding of software development methodologies and architectures
- Experience in either of these areas is a definite add-on - Infrastructure sizing, Capacity planning, Performance modelling, Cloud Computing
- Working experience on Linux/Unix based OS systems is a must
- Working experience on any one of these open source technologies (LAMP stack, Node.js framework, ELK, Cassandra, MongoDB, Couch base NO-SQL databases).


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.

What is the role?
You will be responsible for developing features on the application and integrations end to end. You will be working closely with the Technical Team to come up with high-quality, resilient, and highly performant applications.
Key Responsibilities
- Design and develop SaaS-based applications based on microservices architecture.
- Work on the core backend and ensure it meets the performance benchmarks.
- API and Integrations.
- Designing and developing APIs for the front end to consume.
- Constantly improve the architecture of the application by clearing the technical backlog.
- Meeting both technical and consumer needs.
- Staying abreast of developments in web applications and programming languages.
- Work on the front end with ReactJS is a plus point.
What are we looking for?
- An enthusiastic individual with the following skills. We are open to promising candidates who are passionate about their work and are team players.
- A subset of the below skills should be fine as long as you are good.
- OAuth, API Integrations.
- Overall 6+ yrs of experience.
- Agnostic/Polyglot with multiple tech stacks.
- Worked on open source technologies – NodeJS, ReactJS, MySQL, NoSQL, MongoDB, CouchDB, DynamoDB, Clickhouse, Kafka.
- Backend exposure – good knowledge of building and integrating APIs.
- Efficient in building microservices in combining server & front-end.
- Knowledge of cloud architecture.
- Excellent knowledge and understanding skills on OAuth.
- Should have sound working experience with relational and columnar DB.
- Should be innovative and communicative in approach.
- Will be responsible for functional/technical track of a project.
Who will you work with?
You will closely work with the engineering team and support the Product Team of Plum.
We are
A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore, and Dublin. We have three products in our portfolio: Plum, Empuls and Compass. Xoxoday works with over 1000 global clients. We help our clients in engaging and motivating their employees, sales teams, channel partners or consumers for better business results.
Way forward
We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.
- Strong understanding of all of any of the following SAP Modules - FICO, HCM, MM, SD, CAR & EWM
- Should be aware of the business processes, integrations & implementations using above SAP modules
- Hands-on experience in Functional Testing, Integration testing & E2E testing of these SAP Applications (3-5 years)
- Good understanding of Testing Processes and releases
- Strong Debugging skills
- Good communication skills, and Problem Solving skills
- Good at DB & SQL
- Good Programming Skills (Preferably)
- Any experience with SAP Test Automation using tools like Microfocus or Tricentis (Preferably)

Product development and Banking domain based out in Bangalor
Urgently looking for "Mainframe Operaters with OPC exp.
for a "Product based company" for "Bangalore" Location.
Exp required-2-7 Years
Skills required: Console Monitoring + batch operations + opc +mainframe
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