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Job Title : Senior System Administrator
Experience : 7 to 12 Years
Location : Bangalore (Whitefield/Domlur) or Coimbatore
Work Mode :
- First 3 Months : Work From Office (5 Days)
- Post-Probation : Hybrid (3 Days WFO)
- Shift : Rotational (Day & Night)
- Notice Period : Immediate to 30 Days
- Salary : Up to ₹24 LPA (including 8% variable), slightly negotiable
Role Overview :
Seeking a Senior System Administrator with strong experience in server administration, virtualization, automation, and hybrid infrastructure. The role involves managing Windows environments, scripting, cloud/on-prem operations, and ensuring 24x7 system availability.
Mandatory Skills :
Windows Server, Virtualization (Citrix/VMware/Nutanix/Hyper-V), Office 365, Intune, PowerShell, Terraform/Ansible, CI/CD, Hybrid Cloud (Azure), Monitoring, Backup, NOC, DCO.
Key Responsibilities :
- Manage physical/virtual Windows servers and core services (AD, DNS, DHCP).
- Automate infrastructure using Terraform/Ansible.
- Administer Office 365, Intune, and ensure compliance.
- Support hybrid on-prem + Azure environments.
- Handle monitoring, backups, disaster recovery, and incident response.
- Collaborate on DevOps pipelines and write automation scripts (PowerShell).
Nice to Have :
MCSA/MCSE/RHCE, Azure admin experience, team leadership background
Interview Rounds :
L1 – Technical (Platform)
L2 – Technical
L3 – Techno-Managerial
L4 – HR
About Techjays
At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.
About the Role
This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.
What You'll Do
- Architect and scale backend systems powering AI-driven applications
- Design and implement RAG pipelines, AI agents, and LLM integrations
- Own systems end-to-end — from architecture to deployment and scaling
- Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
- Build high-performance distributed systems with observability and cost efficiency
- Lead backend and AI initiatives with strong technical ownership
- Mentor engineers and raise the technical bar across teams
- Collaborate with product and AI teams to deliver AI-native solutions
What We're Looking For
- 6–10 years of strong backend engineering experience
- Hands-on expertise in Python (FastAPI / Django / Flask)
- Deep understanding of Generative AI and LLM-based systems
- Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
- Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
- Proficiency in AWS or GCP in production environments
- Experience with distributed systems, microservices, and system design
- Strong grasp of Data Structures, Algorithms, and Design Patterns
- Familiarity with WebSockets, Git, Linux/Unix, and CI/CD
Nice to Have
- Experience with Anthropic Claude API and Claude Code
- Familiarity with real-time data systems or streaming (Kafka, etc.)
- MLOps and AI system lifecycle experience
- Optimizing AI systems for latency, cost, and scalability
Who You Are
- You think in systems, not just features
- You take full ownership of what you build
- You are comfortable navigating fast-moving, ambiguous environments
- You stay updated with the latest in Generative AI and backend technologies
- Strong communicator who can collaborate across teams and global clients
What We Offer
- Competitive compensation (Best in Industry)
- Work on production-grade AI systems used by global clients
- Exposure to cutting-edge AI tools and frameworks
- A culture that values clarity, integrity, and continuous growth
Data Strategy and Planning:
Collaborate with stakeholders to develop and implement data management strategies aligned with business objectives.
Define data standards, policies, and procedures to ensure consistent and accurate data collection and storage.
Data Collection and Integration:
Identify and assess various data sources, both internal and external, to gather relevant and reliable data.
Design and implement data collection methods and processes to ensure data is captured efficiently.
Oversee data integration initiatives to consolidate data from different sources into a unified database.
Data Quality Assurance:
Develop and enforce data quality standards to ensure the accuracy, completeness, and consistency of data.
Implement data validation processes and routines to identify and rectify data discrepancies or errors.
Database Management:
Maintain and optimize data storage systems, including databases, data warehouses, and data lakes.
Ensure data security and compliance with relevant data protection regulations.
Data Analysis and Reporting:
Collaborate with analysts to provide clean and structured data for analysis.
Assist in creating data visualizations and reports to communicate insights and findings to stakeholders.
Team Collaboration:
Work closely with IT teams, data scientists, analysts, and other stakeholders to define data requirements and resolve technical issues.
Provide guidance and training to team members regarding data management best practices.
| Must have | Proficient exp of minimum 4 years into DevOps with at least one devops end to end project implementation. Strong expertise on DevOps concepts like Continuous Integration (CI), Continuous delivery (CD) and Infrastructure as Code, Cloud deployments. Minimum exp of 2.5-3 years of Configuration, development and deployment with their underlying technologies including Docker/Kubernetes and Prometheus. Should have implemented an end to end devops pipeline using Jenkins or any similar framework. Experience with Microservices architecture. Sould have sound knowledge in branching and merging strategies. Experience working with cloud computing technologies like Oracle Cloud *(preferred) /GCP/AWS/OpenStack Strong experience in AWS/Azure/GCP/open stack , deployment process, dockerization. Good experience in release management tools like JIRA or similar tools. |
| Good to have | Knowledge of Infra automation tools Terraform/CHEF/ANSIBLE (Preferred) Experience in test automation tools like selenium/cucumber/postman Good communication skills to present devops solutions to the client and drive the implementation. Experience in creating and managing custom operational and monitoring scripts. Good knowledge in source control tools like Subversion, Git,bitbucket, clearcase. Experience in system architecture design |
We are looking "ERP Functional Consultant" for Reputed Client @ Permanent Role.
Experience: 2-6 Yr
• Analyze business processes and provide solutions using ERP systems.
• Gather customer requirements and conduct gap analysis.
• Any ERP package implementation experience and understanding of business processes.
• Perform system configuration, installation, data migration and testing.
• Provide user training and support.
• Coordinate with Technical Team on solution design, programming and validation.
• Has a good understanding of business application concepts and terminologies.
• Has ability to take ownership, accountability and initiative.
• Has excellent problem solving skills.
• Effective time management skills.
• Willing to travel will be an added advantage.
• Should have good communication in Hindi,English
JOB TITLE: Business Development Executive
EXPERIENCE: 5yrs
CATEGORY: Software Sales (Product or Service)
LOCATION: Coimbatore
JOB DESCRIPTION:
We are looking for a resilient, empathic business development executive to contribute to the growth of our company. Business development executives are responsible for finding and retaining clients, encouraging extant clients to purchase added products or features, and remaining abreast of changes in consumption. You will also be required to build capacity in staff through regular training and mentorship
To be successful as a business development executive, you should attend networking events with the intention of attracting and retaining clientele. Ultimately, an outstanding business development executive will keep a close eye on clients’ feedback to ensure that our products and services always exceed expectations.
Key Responsibilities:
1. Client Acquisition: Identify, target, and engage potential clients in the finance and accounting sector to expand our client portfolio.
2. Market Research: Conduct thorough market research to identify emerging trends, competitive landscape, and potential business opportunities in the finance and accounting industry.
3. Strategic Partnerships: Collaborate with industry stakeholders, including financial institutions, accounting firms, and technology providers, to explore partnership opportunities and enhance our service offerings.
4. Sales and Revenue Growth: Develop and implement effective sales strategies to meet and exceed revenue targets. Build and maintain a strong sales pipeline, track progress, and report on key performance metrics.
5. Client Relationship Management: Cultivate and maintain strong relationships with existing clients. Understand their needs, provide exceptional service, and identify opportunities to upsell or cross-sell our products and services.
6. Proposal Development: Prepare and deliver compelling proposals, presentations, and product demonstrations to prospective clients, showcasing the value and benefits of our solutions.
7. Market Expansion: Develop and execute plans to expand our market presence in new geographic regions or segments within the finance and accounting industry.
8. Networking: Actively participate in industry events, conferences, and networking opportunities to establish a strong professional presence and generate leads.
9. Market Insights: Stay up to date with industry trends, regulations, and best practices to provide valuable insights to the organization and clients
JOB SKILLS:
Communication Skill
Analytical Skill
Negotiation Skill
Sales skill
MANDATORY:
Software sales (Product or Service)
COMPANY DESCRIPTION:
Vimishaitech, is a leading provider of IT solutions, software development, consulting services and Soft skills Training and Development. We have a proven track record of helping businesses find and hire the best talent to meet their specific needs. We understand the challenges businesses face when trying to recruit top talent in today's competitive market. That's why we offer comprehensive recruitment solutions designed to take the hassle out of the process and help you find the perfect employees for your company. Our service specializes in Soft skills training and development, equipping individuals with essential interpersonal skills like communication, teamwork, and leadership to enhance their professional success.
Regards,
HR Team
We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.
Machine Learning Engineer Responsibilities:
Consulting with managers to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.
Machine Learning Engineer Requirements:
Bachelor's degree in computer science, data science, mathematics, or a related field.
Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code writing.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Great communication and collaboration skills.
Excellent time management and organizational abilities.
We are looking for Process Improvement\Delivery Excellence for one of our premium client
- Facilitating the overall delivery governance and performance reporting across services for applicable projects,programs and portfolios
- Engaging across DEx, and with delivery stakeholders, to improve deliver performance through the effective adoption of DEx levers and parameters
- Conduction Root Cause Analysis (RCA) along with Corrective and Preventive Actions (CAPA) Failure Modes and Effects Analysis (FMEA
-
Quality management focus with exposure to CMMI / LEAN / Six Sigma / ITIL / KANBAN / SCRUM / ISO/PMP / Prince2
Back End Developer
Qualification : Engineering /Master degree in Computer Science/Electronics/Electrical/Information
Technology Experience : 3- 6 years Skill Sets :
-
The server part of client-server programming
-
Strong database schema skills, querying, joins, triggers, stored procedures
-
Programming languages and frameworks: Javascript and NodeJS languages: PHP, Node,
-
Relational databases such as MySql, SQL Server, Postgres, NoSQL database MongoDB
-
REST-compliant APIs
-
Big Data processing
-
Experience in Agile SCRUM method of development
-
Familiar with GIT and Devops tools and technologies
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Spring Boot, JavaScript, MongoDB, Maria DB, Microservice , Devops, Rest API, Postman, AWS, Nginx, Redis, Docker
Job description
R360 powers a data-driven customer engagement ecosystem that enables the worlds leading organisations to earn customer loyalty every day.
For over 10 years, R360s loyalty and reward platforms have driven ambitious loyalty programs for some of the worlds biggest brands including Axis Bank, Standard Chartered Bank, HDFC Bank and Emirates National Dubai Bank. We have 500+ global retail partnerships and offer our clients reward programs, nuanced customer segmentation, data-centric campaigns, and big data analytics.
Our multidisciplinary team of technology experts, product engineers, data scientists, client relationship managers and customer experience professionals work together with our clients to enable loyalty by enhancing customer acquisition, engagement and retention.
Currently we are looking for a SeniorUI Developer
What you ll do :
- Develop complete UI and integrate the same with backend APIs
- Work as full stack developer with prime focus on UI
- Work end to end from design and development
- Code & design review
- Troubleshoot critical issues and guide team as well
What we'll need :
Mandatory skills :
- Overall 3 to 8yrs of overall UI experience
- 3+years of hands-on experience in Angular/ React technologies
- Hands on experience in implementing micro front end architecture
- Strong knowledge in building highly responsive web & mobile applications
- Strong Data structures & algorithm skill
- Strong communication
Technical Skills :
- Front end technologies - Angular, Java Script, jQuery
- Backend technologies - Java, REST
-Mark-up Languages - HTML, CSS3, Bootstrap
-Database - SQL & NoSQL
Modelling - UML & ERD
Bonus point: Candidate from Product/ Banking would be preferred
Bonus point: Candidate from Product/ Banking would be preferred
- Subject Matter Expert (SME) will have the complete market level expertise and proficiency as required to create, develop and teach contents in the given subject area.
- Experience 0 to 5 yrs teaching Chemistry, Physics and Mathematics
- Educational qualification: Masters(M.Sc, M.Phil, P.hd) in Chemistry, Physics and Mathematics
- SME for NEET and JEE competitive exams should possess equivalent field experience in teaching student segments of the market space or students in the relevant institutions.
- The primary requirement from the SME will be the creation of highly relevant teacher Lesson planners, teaching modules as expected in the project architecture which is content in-line with the learning material of Raptor entrance expert.
- The SME should gain enough knowledge about the product developed through the induction program and should be prepared for workflow within the first 3 days of joining.
- Proficiency of the theoretical knowledge and equivalent application knowledge is a prerequisite to developing contents for the given assignment. The SME should be posses and be increasingly willing to upgrade one’s knowledge on a regular basis.
- The SME should thoroughly research the curriculum framework, market expectation, syllabus and other essential criteria for the assignment taken.
- The SME will stick on to the time schedules regularly to avoid any delay to the project completed within the stipulated project delivery time and will be solely responsible for the completion of any work given in the subject area within the scope of the given assignment.
- The work files should be appropriately organized in the allocated work system as they will be subjected to frequent auditing.
- The SME will have a parallel discussion and can take guidance from the Project Head and the academic expert team Lead (TL) to build contents analogous to the learning material and ensure organized content delivery.







