535 Job openings found

2 Opening(s)
5.0 Year(s) To 9.0 Year(s)
Not Disclosed by Recruiter
Hiring: Senior Salesforce CPQ Administrator - Hyderabad Location: HyderabadWork Mode: Hybrid (3 Days Working from Office)Experience: 5–9 YearsEmployment Type: Full-time Job Role:We are looking for an experienced Salesforce CPQ Administrator to manage and optimize CPQ processes within the Salesforce ecosystem. Key Responsibilities:• Configure and manage Salesforce CPQ (products, pricing, quotes)• Handle Quote-to-Cash (QTC) ...
1 Opening(s)
19.0 Year(s) To 20.0 Year(s)
Not Disclosed by Recruiter
The role demands a senior technical leader with deep engineering experience, strong operational capabilities, and practical expertise in AI/ML technologies. As an influencer across product, data, and technical strategy, this leader will play a key role in shaping Dyad’s technology roadmap and building engineering practices that support innovation and operational ...
4 Opening(s)
5.0 Year(s) To 10.0 Year(s)
12.00 LPA TO 18.00 LPA
Key Responsibilities• Backend Development: Design, develop, and maintain scalable backend services usingmodern Java for a multi-tenant SaaS platform.• API Development: Build and maintain RESTful APIs and gRPC services with cleardocumentation and high performance.• Microservices & Distributed Systems: Develop and support microservices and event-drivenarchitectures using frameworks such as Spring Boot and ...
5 Opening(s)
3.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
The Role We are looking for a full stack engineer to join our team. We ideally hire engineers who are comfortable across the full stack, but we know you will have a preference about being on the front-end or back-end. As long as you're happy to work on both sets of ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Job Summary: PySpark Developer (with Python Migration Focus) - to design, develop, and optimize big data solutions, with a critical focus on migrating and modernizing existing Python data processing codebases within a Health Insurance Company.  The PySpark Developer will be a key member of the Data Engineering team, responsible for leveraging PySpark ...
1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
3.00 LPA TO 5.00 LPA
Job Title Backend Environment Engineer Location & Experience Location: [City, State], India Experience: 2-3 years in backend infrastructure / environment engineering Role Summary You will work as part of the infrastructure / environment team to build, maintain and optimise the backend environments that support production services, development pipelines and data flows. You’ll ensure environments are provisioned, ...
2 Opening(s)
5.0 Year(s) To 8.0 Year(s)
18.00 LPA TO 20.00 LPA
Experience – 5 To 8 YearsSalary – 18 Lac To 20 LacNP – 0 To 30 DaysIndia – NoidaJob Description:We are seeking skilled and motivated Spark & Databricks Developers to join our dynamicteam for a long-term project. The ideal candidate will have strong hands-on experiencein Apache Spark, Databricks, and GitHub-based development workflows.Key Responsibilities: Design, develop, ...
2 Opening(s)
8.0 Year(s) To 15.0 Year(s)
15.00 LPA TO 35.00 LPA
Job Title: Senior Sitecore developer/ Architect  Job Location: Ahmedabad/ Bangalore/ Remote Year of Experience: Minimum 8 years Notice period- Immediate to 60 days max Job Description Job Summary We are seeking a highly skilled and experienced Senior Sitecore Developer / Architect to lead the design and development of scalable, high-performance Sitecore solutions. The ideal candidate will have deep expertise in Sitecore headless ...
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.  
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 ...

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