124 Job openings found

Core Responsibilities• Engineering Execution: Lead and execute planned infrastructure projects (e.g., cluster upgrades, automation of provisioning workflows, migration of legacy services)• Infrastructure as Code: Build and maintain reproducible environments on AWS using Terraform• Platform Health: Manage and optimize Kubernetes (EKS) workloads, ensuring high availability and performance• Legacy Stability: Maintain and ...

Below are the key highlights of the requirement: Budget: Up to 25 LPA Experience : 6 + Location: Remote Interview Process: Two technical rounds (no client round) Note: Candidates from Hyderabad and Andhra Pradesh are not to be considered. Reactive Programming Minimum 5 Years. At least Sound Knowledge of BPMN. Skills highlighted in green are mandatory and must be ...

  Role Overview:As a DevOps Engineer, you will lead and support the migration of our infrastructure toKubernetes across cloud and local environments while designing, building, and maintaining ourGoogle Cloud, Oracle Cloud, and on-premise infrastructure. You will collaborate closely withengineering, product, and QA teams to ensure reliable deployments, high availability, strongsecurity controls, ...

Role Overview :The Key Account Manager (KAM) will be responsible for driving revenue growth, account expansion, and long-termstrategic partnerships with large hospital groups and healthcare enterprises. This role requires strong CXO-level selling capability, a deep understanding of hospital economics, and the ability to position company as a revenue-intelligence and care-orchestration platform ...

Role:  Dynamics 365 Work Mode: Onsite - Chennai  Year of Experience: 4-7 YearsNo of Positions: 1Notice Period: Immediate Budget: 7 - 10 LPA   Good To Have Skills: CommunicationMust Have Skills: LLMOps/MLOps, CI/CD, SLA/SLOExternal Description Owns model deployment, versioning, orchestration, monitoring, and governance across the LLMOps/MLOps lifecycle in Azure & Dynamics.  Implements CI/CD, blue/green/canary releases, rollback safety; tracks SLA/SLO and audits. Monitors system health, API ...

Job Title: Senior Backend Developer Experience: 7–12 years Salary: Up to ₹24 LPA Location: Bangalore (Onsite) Job Description We are looking for an experienced Senior Backend Developer to design, develop, and maintain highly scalable backend systems. The ideal candidate should have strong experience in building microservices-based architectures and working with cloud-native technologies. Key Responsibilities Design, ...

Role: ML Engineer  Location: Sholinganallur - Chennai  Work Mode: Onsite/Full-time Year of Experience: 4 - 6 Years No of Positions: 1 Notice Period: Immediate or 10 daysBudget: 8-12 LPA Good To Have Skills: Good CommunicationMust Have Skills: Open AI/Generative AI, Google Cloud Platform, Data Analysis, Support DevOpsExternal DescriptionCurated JD : Is this a Pure Play Technical Role/Techno functional Role?-Technical Role. Specific Contribution Expected From this Role?(JD) - Experience: Minimum ...

Role: Snowflake Work Mode: Onsite  Location: Chennai  Year of Experience: 7 -10 Years No of Positions: 1 Notice Period: Immediate Budget: 8 - 12 LPA   Good To Have Skills: Communication Must Have Skills: Snowflake DBA, Asset Management, Snowpro certification   Job DescriptionThe candidate will be responsible for managing, monitoring & tuning Snowflake & Azure databases across Corporate Services team. This role will be part of the Corporate Architecture & Analytics team. Responsibilities:1. ...

Job Description Job Title: Analyst, Algorithm Research & Development (Optical modelling). Job location- Chennai  Experience: Minimum 3 years  Employment Type: Full time Key Responsibilities: Develop algo focusing on optical modeling and computational geometry-based image processing algos and models. Stay updated with emerging technologies and industry best practices. Bring new ideas to the team by exploring modern frameworks or tools ...

Role Overview As a Senior Platform Engineer – MLOps, you will play a key role in designing, building, and maintaining the infrastructure and workflows that support our machine learning systems. You’ll work closely with data scientists, ML engineers, and DevOps teams to implement scalable MLOps solutions, mentor team members, and ensure smooth deployment and ...