2 Opening(s)
6.0 Year(s) To 12.0 Year(s)
28.00 LPA TO 33.00 LPA
Experience 6+ Yrs
Job Description:
Design, implement, and maintain the Configuration Management Database (CMDB) in ServiceNow.
Collaborate with IT teams to ensure accurate and up-to-date data in the CMDB.
Create and manage ITIL processes and workflows in ServiceNow.
Develop custom scripts using JavaScript, SQL, PowerShell, Python, Bash, and Git to automate tasks and improve efficiency.
Utilize ...
2 Opening(s)
8.0 Year(s) To 16.0 Year(s)
40.00 LPA TO 65.00 LPA
Position - AI Manager
India - Chennai
Salary - INR 4000000 - 6500000
Experience
8 - 16 Years
Job Description/Preferred Qualifications Key Responsibilities:
• Lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success.
• Develop and maintain the infrastructure required for the deployment and execution of algorithms at ...
4 Opening(s)
10.0 Year(s) To 20.0 Year(s)
0.00 LPA TO 0.00 LPA
Job Title: Senior Java Engineer
Location: Saint Louis, Missouri, USA (On-site / Hybrid – as applicable)
Employment Type: Full-time
About the Role
We are looking for an experienced Senior Java Engineer to join our client's high-performing software development team. In this role, you will design, develop, and maintain enterprise-grade applications, ensuring high performance, scalability, and security. You will collaborate ...
4 Opening(s)
4.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
Exp : 1-2 years and 4-6 years
CTC: 3-4 LPA (1-2yrs) 10-12 LPA (4-6yrs)
Job Type: Permanent
Job location: Pune (Magarpatta City) (Work from Office is Mandatory)
Shift: US shifts (Flexible)
Notice: Immediate
Job Title: Python Developer
Key Responsibilities:
Design, develop, and maintain Python scripts to automate business application processes.
Build and manage data ingestion pipelines using Python libraries ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Job Overview:
The position of Senior Software Engineer may directly report to the Team Lead or Project Manager. The Senior Software Engineer is a senior developer. His or her primary responsibilities are analyzing software requirements, developing software, and performing code reviews.
He or she should have minimum 4-7 years of experience in ...
1 Opening(s)
10.0 Year(s) To 15.0 Year(s)
25.00 LPA TO 30.00 LPA
JOB DESCRIPTION of Java Technical Lead
Job Title: Manager/Sr Manager Department: ITReports to: Vice President – IT Required Qualification: BE/ B Tech/ MCA Preferred Qualification: BE/ B Tech/ MCA
Skill, Knowledge & Trainings:
Strong hands-on experience with Java; full stack development
Designs, codes, tests, debug, automate deployment and documents software.
Contributes to the design ...
5 Opening(s)
10.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
Job title : Senior Java Developer with C#
Location: Atlanta, GA - 3- days per week Onsite-
Retail domain experience is a plus.
Must Have Skills:
Java engineering background.
C# with expertise in Microservices architecture.
Strong experience with SQL databases.
Hands-on knowledge of Containerization (e.g., Docker) and Azure DevOps.
Proficiency in Angular, including micro-frontend architecture and lazy-loaded modules.
Nice-to-Have Skills:
Experience with ...
1 Opening(s)
17.0 Year(s) To 25.0 Year(s)
30.00 LPA TO 40.00 LPA
Opening for VP/Senior Solution Architect/Head of Engineering for a leading IT Consulting Company at Chennai Location
Position: VP/Senior Solution Architect/Head of Engineering
Exp: 17-25 years
Location: Chennai
Reporting To: CTO / CEO
Function: Technology Leadership
Type: Full-Time | Executive Level
Key Responsibilities
Shape and evolve multi-domain technology roadmap.
Lead enterprise architecture initiatives across cloud platforms (AWS, Azure, GCP), data platforms, AI/ML, security, and application layers.
Champion modern, scalable, secure, and future-ready platforms using microservices, event-driven architecture, and API-first designs.
Lead and mentor distributed engineering teams across geographies and domains.
Establish high-performance engineering practices including Agile, CI/CD, DevSecOps, SRE, and container-based infrastructure.
Foster a culture of excellence, ownership, and continuous innovation with robust observability and DevOps at scale.
Collaborate with business, product, and sales teams to design solutions that solve real-world problems.
Ensure architectural consistency, scalability, and resilience across projects and domains.
Experience Required:
17–25 years of progressive experience in technology roles.
At least 7+ years in senior/executive leadership positions.
Demonstrated success in scaling engineering teams, driving platform-led transformations, and leading enterprise-scale architecture.
Proven leadership across multiple industries—ideally FinTech, HealthTech, Retail, or Industrial/Manufacturing.
Skills Stack:
Cloud Platforms: AWS, Azure, GCP
Architecture & Design: Microservices, APIs, Event-Driven Architecture
Data & AI/ML: Data platforms, machine learning, analytics infrastructure
DevOps & Operations: CI/CD, DevSecOps, SRE, Containers (Docker/Kubernetes), Observability tools
Methodologies: Agile, Lean, XP, and innovation delivery at speed.
Education Qualifications:
Bachelor’s degree in Engineering, Computer Science, or a related field (required).
Master’s degree preferred.
Patents, research publications, or open-source contributions are a strong plus.
Prior experience in high-growth, startup-to-scale-up environments is highly desirable.
1 Opening(s)
1.0 Year(s) To 4.0 Year(s)
Not Disclosed by Recruiter
Depending on your strengths (full-stack, frontend-heavy, or backend-focused), you will:
Frontend / Full Stack Responsibilities (if applicable):
• Develop responsive, performant UIs using React, TypeScript, and Vite
• Implement state management via Redux Toolkit (Thunk/Saga)
• Consume REST APIs and work on end-to-end feature development
Backend Responsibilities:
• Build and scale backend services using Node.js or ...
5 Opening(s)
3.0 Year(s) To 10.0 Year(s)
14.00 LPA TO 25.00 LPA
🔹 Key Responsibilities
Design and build robust, scalable data pipelines and models.
Transform raw data into actionable business insights.
Develop ML models to automate processes and support predictions.
Deploy and manage solutions using cloud platforms like Azure, Databricks, and ADLS.
Ensure security, quality, and compliance across all solutions.
Monitor systems, resolve issues, and drive root-cause fixes.
Collaborate ...