26 Job openings found

Job Profile -  MLOps Engineer   Location -  Bangalore   Type - Permanent Full Time   Experience - 5 to 7 years   Key Skiils - Artifactory Register, Terraform, GCP, CI/CD, Containerization     Job Description   Mandatory Experience in Terraform, GCP infrastructure, CI/CD deployment, Artifactory registry and containerization   Design, build applications using containerization and orchestration with Docker and Kubernetes and cloud platforms.   Demonstrated experience with containerization, ...

We are looking for a skilled Dynatrace + AI Engineer to enhance our observability and AIOps capabilities. This role involves implementing and optimizing Dynatrace solutions, leveraging AI-driven insights for proactive monitoring, incident management, and performance optimization. The ideal candidate will have expertise in Dynatrace, AI/ML, and cloud environments, ensuring high availability and ...

Job Title: Developer Lead Location: Bangalore Experience: 13-17 Years Salary: 20-25 LPA Notice Period:  Immediate - 15 days     Job Overview:We are seeking a highly experienced Lead Developer to drive the design, development, and deployment of cutting-edge network management and orchestration solutions for Wireless LAN devices. In this role, you will lead a team in building scalable, high-performance systems in ...

Responsibilities: Design, develop, and deploy cloud-based applications and services on AWS or GCP platforms. Use programming skills in Java and Python to develop scalable and efficient solutions. Implement and maintain REST APIs and microservices architecture. Work with various cloud resources such as Redis, Elasticsearch, and DynamoDB to optimize performance and functionality. Implement CI/CD pipelines using ...

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.  

Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions. Research and stay abreast of state-of-the-art machine learning technologies. Follow code standards and best practices. 7-8 years’ experience in ...

Responsible for protocol development including study design, sample size calculation, randomization, and statistical analysis plan for BA/BE, Dermatology and In-Vitro studies. » Provide statistical oversight to studies and assure adequate quality and consistency with project requirements. » Responsible for assuring that data for statistical analyses are complete, accurate and consistent. » Responsible for ...

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 ...

Job Description: We are seeking an experienced Java Developer with strong proficiency in Java, Spring Framework, and hands-on experience with LogicalDOC to join our remote development team. The ideal candidate should have a solid understanding of enterprise application architecture, document management systems, and modern backend development practices. Key Responsibilities: Design, develop, test, and maintain high-performance Java applications. Build and ...

Position:Devops Engineer Experience: 3+ yrs Location:Bangalore CTC: 15-20L Job Decription: Key Responsibilities: Design, build, and maintain highly available infrastructure using Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or ARM Templates. Manage and monitor CI/CD pipelines to ensure smooth code deployments and minimal downtime. Work with cross-functional teams to support software builds, releases, and configuration management. Administer and optimize cloud environments (e.g., AWS, Azure, GCP) based on business and ...