Human Resource Executive

Key Responsibilities

• Design, build, and maintain highly available and scalable cloud infrastructure on Microsoft Azure.
• Implement and manage CI/CD pipelines using Azure DevOps (YAML-based pipelines preferred).
• Define and monitor SLIs, SLOs, and error budgets to improve service reliability.
• Automate infrastructure provisioning using IaC tools (ARM, Bicep, Terraform).
• Monitor system health using Azure Monitor, Log Analytics, and Application Insights.
• Perform incident response, root cause analysis (RCA), and postmortems.
• Improve system resilience through automation, self-healing, and performance tuning.
• Collaborate with development teams to implement DevOps and reliability best practices.
• Manage containerized workloads using Docker and Kubernetes (AKS preferred).
• Implement security, compliance, and governance controls in CI/CD workflows.
• Optimize cloud costs and resource utilization (FinOps awareness).
• Maintain runbooks, SOPs, and operational documentation.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3–8 years of experience in SRE, DevOps, or Production Engineering roles.
• Hands-on experience with Microsoft Azure cloud services.
• Strong experience with Azure DevOps pipelines (CI/CD).
• Solid scripting skills (PowerShell, Bash, or Python).
• Experience with Infrastructure as Code (Terraform, ARM, or Bicep).
• Strong understanding of Linux/Windows system administration.
• Experience with monitoring and observability tools.
• Good understanding of networking concepts and cloud security basics.
• Experience with Git and modern branching strategies.

Job Title: Customer Success Associate

Work Mode: Work From Office

Location: Gurugram, Haryana

Job Description:

We are hiring Customer Success Associates. The role involves handling customer queries efficiently and providing accurate information while ensuring a positive customer experience.

Key Responsibilities:

• Handle inbound/outbound customer queries professionally
• Provide timely and effective resolutions to customer concerns
• Maintain clear and accurate communication with customers

Eligibility Criteria:

• Qualification: Graduation mandatory
• Skills: Excellent verbal and written communication skills in English and Hindi

Shift & Working Days:

• 24/7 Rotational Shifts
• 6 Days working, 1 Weekly Off

As the Java Developer, you will be responsible for developing cutting edge health-tech applications that include high scale transaction processing, intelligent bot based programs and data analytics.

What you will do:

• Building components for the company's advanced health tech platform using Java, Solr, SpringBoot, DialogFlow
• Communicating effectively in a cross-functional product development team and present ideas and solutions effectively
• Participating in technical planning and requirements gathering phases including design, code, test, troubleshoot, and document engineering software applications
• Developing the Code as per the requirements
• Working with product team and constructing the tech roadmap
• Designing, building and scaling the company's backend microservices
• Maintaining code integrity and organization
• Applying all quality requirements to make the code production ready
• Developing and deploying new features to facilitate related procedures and tools if necessary
• Developing documentation related to technical aspects and to facilitate current support, development, upgrades, or migrations
• Designing and building efficient, reusable, and reliable Java code
• Pro actively catching and fixing bugs, and providing support for the back end services
• Managing servers and infrastructure by keeping the lights on and refining the deployment architecture

What you need to have:

• Proven hands-on Software Development experience
• Proven working experience in Java development
• Hands on experience in designing and developing applications using Java EE platforms
• Object Oriented analysis and design using common design patterns.
• Profound insight of Java and JEE internals (Classloading, Memory Management, Transaction management etc)
• Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)
• Experience in the Spring Framework
• Experience as a Sun Certified Java Developer
• Experience in developing web applications using at least one popular web framework (JSF, Wicket, GWT, Spring MVC)
• Experience with test-driven development

• Designing, developing, and testing UI for mobile and web applications
• Build reusable code and libraries for future use
• Accurately translate user and business needs into functional frontend code.
• Developing new user-facing features using React and redux
• Building reusable components and front-end libraries for future use.
• Translating designs and wireframes into high-quality code with proper standards.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.
• Work with outside data sources and APIs.
• Added Advantage: Knowledge and experience in Cloud Computing

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology