11+ MicroStrategy Intelligence Server Jobs in Chennai | MicroStrategy Intelligence Server Job openings in Chennai

Here is the exciting opportunity to work with one of the top 40 Data and Analytics Company worldwide, as recognized by Gartner.

LinkedIn: InfoCepts: Overview | LinkedIn

Website: https://www.infocepts.com

WFH/WFO/Hybrid (Flexible working mode)

Location: Chennai/Bangalore/Pune/Nagpur

Responsibilities:

• Acting as MicroStrategy expert to advice customers in defining MicroStrategy Roadmap, Security guidelines and MicroStrategy architecture for Complex enterprise systems.
• Working directly with our clients, prospects and partners to deliver high quality business intelligence solutions to our customers
• Working with the management on creating project estimates and resource planning
• Developing and testing detailed functional designs for business solution components and prototypes
• Incorporate best practices and standards in metadata and report/dashboard development

Preferred Background:

• 3+ years of experience on MicroStrategy Desktop, Architect, Web
• Experience on Intelligent Cube Development, Custom widget, visualization development and implementation
• Hands of experience on Project creation, schema objects creation, Development of queries, documents & dashboards with flex based widgets
• Experience using Enterprise manager monitoring, auditing and performance tuning and VLDB settings
• Experience in development & integration which will include setting up configuration management, developing components, peer review, creating unit test plans & performing unit testing

Kindly share your resume along with your details below

Name

Contact Number

Email

Current CTC

Expected CTC

Holding any offer & its package

Last working date / Notice Period

Current Company & Payroll

Total IT Experience

Relevant Experience

Location

Job Description

Job Description/Preferred Qualifications

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Proven experience as a VC++ Developer.
• Knowledge of Win32 API, MFC, STL, SQL, XML and TCP/IP Sockets is required.
• Interface with COM ports, USB devices, PCI cards, and Ethernet networks.
• Familiarity with data structures, algorithms, and design patterns.
• Ability to debug and optimize multithreaded applications.
• Strong understanding of Visual C++ and object-oriented programming principles.
• Experience with software development methodologies.
• Excellent problem-solving skills and attention to detail.
• Good communication and teamwork skills.
• Ability to work independently and as part of a team.

Desired Qualifications

• Knowledge of Modbus and SECS/GEM protocols.
• Knowledge of Windows Kernel-Mode Drivers.
• Experience in coding for industrial automation.
• Familiarity with liquid chemical analytical hardware.
• Experience in Semiconductor Manufacturing Equipment.

Responsibilities

• Develop and maintain software applications using Microsoft Visual C++.

• Develop new features to control company Analyzer and Doser hardware in established code base.

• Collaborate with cross-functional teams to define software requirements.

• Write clean, efficient, and maintainable code.

• Debug, troubleshoot, and fix software issues.

• Conduct code reviews to ensure adherence to best practices.

• Optimize application performance for speed and scalability.

• Participate in the full software development lifecycle, from requirement gathering to deployment.

Customer Support Roles

1. Customer Support Representative: Handles customer inquiries, resolves issues, and provides product information via phone, email, or chat. Should be good in English and Hindi

2. Customer Service Agent: Provides assistance and support to customers, answering questions and resolving concerns in a timely and professional manner.

3. Help Desk Support: Troubleshoots and resolves technical issues for customers, providing timely and effective solutions.

Chat Process Roles

1. Chat Support Agent: Responds to customer inquiries and resolves issues via live chat, providing quick and accurate solutions.

2. Live Chat Representative: Engages with customers in real-time, addressing their concerns and providing support through live chat platforms.

3. Virtual Customer Support Agent: Handles customer support requests via chat, email, or social media, providing timely and effective solutions.

Key Skills

- Excellent communication and interpersonal skills

- Strong problem-solving and analytical skills

- Ability to work in a fast-paced environment

- Patience and empathy when dealing with customer issues

- Strong product knowledge and understanding of company policies

Dear,

We are excited to inform you about an exclusive opportunity at Xebia for a Senior Backend Engineer role.

📌 Job Details:

• Role: Senior Backend Engineer
•  Shift: 1 PM – 10 PM
• Work Mode: Hybrid (3 days a week) across Xebia locations
• Notice Period: Immediate joiners or up to 30 days

🔹 Job Responsibilities:

✅ Design and develop scalable, reliable, and maintainable backend solutions

✅ Work on event-driven microservices architecture

✅ Implement REST APIs and optimize backend performance

✅ Collaborate with cross-functional teams to drive innovation

✅ Mentor junior and mid-level engineers

🔹 Required Skills:

✔ Backend Development: Scala (preferred), Java, Kotlin

✔ Cloud: AWS or GCP

✔ Databases: MySQL, NoSQL (Cassandra)

✔ DevOps & CI/CD: Jenkins, Terraform, Infrastructure as Code

✔ Messaging & Caching: Kafka, RabbitMQ, Elasticsearch

✔ Agile Methodologies: Scrum, Kanban

⚠ Please apply only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.

Looking forward to your response! Also, feel free to refer anyone in your network who might be a good fit.

Best regards,

Vijay S

Assistant Manager - TAG

https://www.linkedin.com/in/vijay-selvarajan/

Job Title: Enterprise Field Sales Executive – IT sales / Hardware sales

Location: Chennai

Experience:4 to 5 years

Job Type: Full-time | Field Sales | On-site client visits

Job Description:

We are looking for a dynamic and experienced Enterprise Field Sales Executive with a proven track record in IT infrastructure or hardware sales. The ideal candidate should have experience managing field sales activities, building client relationships through on-site visits, and selling to mid-to-large enterprise customers.

Key Responsibilities:

• Drive new business opportunities through in-person meetings, cold visits, and field-based lead generation.
• Sell IT hardware solutions, such as servers, storage, networking equipment, and enterprise infrastructure products.
• Visit client locations regularly to understand requirements, pitch solutions, and close deals.
• Build and manage a strong pipeline of enterprise prospects in your assigned territory or region.
• Develop proposals, negotiate pricing, and manage the entire sales cycle.
• Collaborate with internal pre-sales and technical teams for solution design and demos.
• Achieve monthly/quarterly/annual revenue and growth targets.

Key Requirements:

• 4–5 years of experience in B2B field sales in the IT, hardware, or enterprise tech space.
• Strong experience in direct sales, territory management, and face-to-face client interactions.
• Proven ability to sell to decision-makers like CIOs, IT Managers, and Procurement Heads.
• Strong technical understanding of enterprise IT hardware/infrastructure.
• Excellent communication, negotiation, and interpersonal skills.
• Self-motivated and comfortable with regular travel and field visits.
• Proficient in CRM tools (Salesforce, Zoho, etc.).
• Bachelor's degree in Business, IT, or related fields.

Location: Chennai

Ideal Candidates for this Role should have:

• Minimum 5 years experience in testing.
• The candidate should have strong experience in Rest Assured, API Testing and Java.
• Proficiency in API testing tools like Postman
• Good knowledge in automation testing using Selenium WebDriver with Java.
• The candidate should be able to write a program to retrieve/parse the Json
• Good understanding of REST API types (GET, PUT, POST, DELETE) and its working.
• Good understanding of HTTP, JSON protocol and syntax
• Good knowledge in automation testing using Selenium WebDriver with Java.
  Be able to work as an individual contributor and be an Expert at writing automated scripts and be 100% hands-on
  Should have automated 1000s of Test cases at various complexity levels and workflows
• Design, implementation, and delivery of scalable, maintainable, configurable and robust test automation frameworks.
• Ability to analyze and translate requirements and development stories into test scripts to ensure complete test coverage.
• Should have strong knowledge of continuous integration tools like Hudson and Jenkins.
• Strong understanding of testing and automation best practices.
• Proven experience in functional, regression and cross-browser testing.
• Willingness to learn new technologies, approaches and test tools

• OWASP Secure Code review,• Basic programing knowledge in any programming language and knowledge on secure development practices.
• OWASP TOP 10 vulnerabilities and their mitigations
• Hands on experience in Web Application Security Testing tools (SAST & DAST) and Penetration testing tools such as HP Fortify, Checkmarx, Acunetix, Nessus, Burp Suite, Metasploit., Qualys Guard, Kali Linux , etc.
• Understand/modify exploit code and find logical security flaws in applications
• Should have knowledge and experience on Network Security, Application Security, Internet Security, attack vectors.
• To carry out technical vulnerability assessments, identify potential vulnerabilities and provide recommended controls and support to mitigate them.

What are we looking for? :

- Experience in versions 1.9 or 2.4 versions of Magento.

- Excellent understanding of PHP and programming skills

- Understanding of MVC structures, OOPs concepts and Frameworks.

- Experience working with Magento or a similar e-commerce framework.

- Experience working with Linux, Nginx or Apache and Git, REST APIs.

- Experience working with MySQL, Caching and Elastic search.

- Experience in UI and Theme customization in Magento.

- Have knowledge of Performance optimization or best practices of development.

- Have 2-4 years of relevant experience.

What you will be doing?:

- Collaborate with team members and solve new challenges through tech and research.

- Take end-to-end ownership of delivering new modules - analyze customer usage & feedback, review business requirements, develop functionalities and test code.

- Write clean readable code and also follow best practices for efficiency and performance.

- Self learn and work independently, Also collaborate with the team when required.

- Communicate constructively and value user experience and feedback.

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What can you expect to learn?:

- Full stack development in latest web technologies and frameworks like Angular, Laravel, PHP, PWAs, REST APIs, Elastic search and Web services.

- Develop custom functionalities, plugins and modules in Magento 2.4 to implement business ideas and user requirements.

- Best coding practices and various methodologies to optimize performance and produce the best quality product. Various caching techniques and optimization standards.

- Solve challenges in scalability and handling high amount of user requests using cloud APIs and services.

Perks : 

- Competitive salary

- Flexible work hours

- No dress code

- Group outings

- Supportive work culture

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.