Job Openings at Reliance HMO

• We are seeking a hands-on, pragmatic DevOps Engineer to join our Platform & Operations team. You will be responsible for ensuring the availability, performance, and security of our infrastructure while enabling rapid, safe deployments across multiple countries. You will work closely with backend, frontend, and mobile engineers, as well as product and operations teams, to deliver scalable infrastructure solutions that meet the demands of healthcare in emerging markets.

As a DevOps Engineer, you will do the following:

• Manage and optimise infrastructure in AWS, with a focus on cost control and resilience.
• Operate and improve our Nomad orchestration platform (migrating from Kubernetes).
• Maintain and enhance our Octopus Deploy pipelines for CI/CD.
• Ensure infrastructure-as-code best practices using Terraform/OpenTofu.
• Support deployments across multiple environments (development, staging, production) and countries.
• Ensure platform availability meets agreed SLAs.
• Troubleshoot and resolve infrastructure and deployment issues efficiently.
• Implement and maintain security best practices at the infrastructure level.
• Manage access control, secrets management, and environment segregation.
• Partner with developers to improve deployment workflows and environment consistency.
• Participate in incident resolution and root cause analysis (within business hours).
• Document processes, architecture, and operational runbooks.

Requirements

Required:

• Strong experience with AWS core services (EC2, RDS, S3, IAM, VPC, etc.).
• Proven hands-on experience with container orchestration (Nomad, Kubernetes).
• Solid understanding of CI/CD pipelines, ideally with Octopus Deploy.
• Experience with Terraform/OpenTofu for infrastructure-as-code.
• Familiarity with networking, load balancing, and monitoring in cloud environments.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills for cross-functional collaboration.
• Experience in multi-region deployments for services with country-specific configurations.
• Knowledge of telecom integrations and emerging market connectivity challenges.
• Familiarity with NodeJS, React, PHP or Java deployment environments.
• Background in healthcare or regulated industries.

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• We're currently hiring for a Backend Software Engineer who will be responsible for designing, developing, and maintaining backend services and APIs that power our core products. This role requires strong technical skills, the ability to define problems clearly, and effective communication with both technical and non-technical stakeholders. The engineer will collaborate closely with product, frontend, DevOps, and QA teams to deliver reliable, scalable, and secure systems.

As a Backend Software Engineer, you will do the following:

• Design, develop, and maintain backend services and APIs using TypeScript, Node.js, and Express.
• Implement robust, scalable, and secure database solutions using MySQL and Sequelize ORM.
• Collaborate with cross-functional teams to gather requirements, define scope, and deliver solutions.
• Optimize backend services for performance, scalability, and maintainability.
• Troubleshoot and resolve production issues in collaboration with DevOps and support teams.
• Ensure high code quality through automated testing, peer reviews, and CI/CD best practices.
• Contribute to technical documentation for APIs, services, and data models.
• Participate in architectural discussions and propose improvements.

Requirements

Required:

• Strong experience with TypeScript, Node.js, and Express.
• Solid understanding of REST API design principles and best practices.
• Proficiency with MySQL and ORM frameworks (preferably Sequelize).
• Experience with asynchronous programming, error handling, and performance optimization in Node.js.
• Familiarity with containerized deployments (Docker, Kubernetes, or Nomad).
• Experience with Git-based workflows (GitHub, GitLab, or similar).

Nice to Have:

• Familiarity with PHP/Laravel (for interaction with our legacy platform).
• Understanding of security best practices for backend services.
• Experience with automated testing frameworks (Jest, Mocha, Cypress).
• Exposure to distributed or microservices-based architectures.

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Description

• We are hiring an Associate Data Scientist to transform complex data into actionable insights, partnering with stakeholders to solve business challenges through statistical analysis, machine learning, and compelling data storytelling. The ideal candidate is analytical, curious, and collaborative, skilled in data analysis, visualization, and communication, and able to translate raw data into clear, impactful recommendations.

As an Associate Data Scientist, you will do the following:

• Collect, clean, and preprocess structured and unstructured datasets for analysis and modeling.
• Build, validate, and deploy statistical and machine learning models to solve business problems.
• Write optimized SQL queries to extract and manipulate data from relational databases.
• Develop insightful dashboards and visualizations using tools such as Power BI, Tableau, or similar.
• Translate technical findings into clear, actionable insights for both technical and non-technical stakeholders.
• Collaborate with cross-functional teams (engineering, product, operations) to define data requirements and deliver analytical solutions.
• Continuously monitor model performance and retrain or improve algorithms as needed.
• Document methodologies, workflows, and data dictionaries to ensure reproducibility.
• Stay updated with emerging data science, AI/ML, and analytics best practices.

Requirements

• Bachelor’s degree (or higher) in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 3–5+ years of proven experience in data analysis, business intelligence, or data science roles.
• Strong SQL skills with hands-on experience querying and joining large datasets.
• Proficiency in Python or R for data manipulation, statistical analysis, and modeling.
• Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).
• Solid understanding of statistical concepts, hypothesis testing, and data modeling.
• Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with version control tools (e.g., Git).
• Strong communication skills for technical and non-technical audiences

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• We are currently hiring a Business Intelligence Associate who will partner with business divisions to understand analytics needs, build data models, and create dashboards, reports, and visualizations using tools like Tableau or Power BI. Working with large datasets in SQL and Python, they ensure data quality, extract actionable insights, and communicate them clearly to technical and non-technical audiences. The ideal candidate combines strong technical skills with the ability to translate complex data into business value and thrive in a collaborative, fast-paced environment.

As a Business Intelligence Associate, you will do the following:

• Work with stakeholders to identify data analytics needs for different business units.
• Use data software tools such as Power BI, Tableau, or similar to develop reports and dashboards.
• Perform complex data modelling and design effective data analysis methodologies.
• Report findings to internal stakeholders and partner with cross-functional (XFN) teams to identify business improvement opportunities.
• Build dashboards, reports, and visualizations to extract and communicate insights.
• Identify and resolve data quality issues.
• Support and train end users on data exploration and self-service analytics.
• Promote a data-driven culture across the organization.
• Perform data profiling to detect anomalies and trends.
• Conduct statistical analysis and apply techniques such as classification, clustering, regression, and time series.
• Ensure compliance with data protection and privacy laws in all analytics processes.

Requirements

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering) or related disciplines.
• Minimum of 2-3 years’ experience in data analytics, BI, or data science roles.
• Strong experience with Tableau, Power BI, or other business analytics and visualization tools.
• Proficiency in Python and key data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Advanced SQL skills for querying and managing large datasets.
• Strong grasp of data modelling techniques and statistical analysis.
• Ability to clearly explain technical concepts to both technical and non-technical audiences.
• Proven experience working within product-focused cross-functional teams.
• Ability to translate analytical findings into product and business strategy recommendations.