Location: Remote - India Job Type: Full-Time Role Overview: We are looking for a skilled Cloud Administrator to take ownership of both infrastructure management and cloud security across AWS and Azure environments. This role involves configuring, monitoring, and maintaining cloud resources including Snowflake, PostgreSQL, and MySQL while also ensuring that security best practices are applied across identity, access, networking, and data layers. The ideal candidate will have hands-on experience in automation, cloud governance, and secure architecture, and will play a key role in enforcing compliance, managing risk, and supporting secure, scalable operations across cloud platforms. Key Responsibilities: Configure, monitor, and maintain cloud infrastructure on AWS and Azure to support scalable and secure data workloads. Administer Snowflake, PostgreSQL, and MySQL databases, ensuring proper access controls, performance tuning, and cost efficiency .Design and manage secure IAM policies and role-based access controls across AWS, Azure, and Snowflake. Implement cloud-native security tools and services (AWS Security Hub, Azure Defender, GCP Security Command Center). Develop and enforce cloud security standards, policies, and procedures. Conduct threat modeling, vulnerability assessments, and risk analysis for cloud environments. Automate cloud security controls using IaC (Terraform, CloudFormation) and CI/CD pipelines. Monitor and respond to cloud security incidents. Monitor resource usage, optimize cost, and troubleshoot performance issues across environments. Maintain infrastructure documentation, playbooks, and runbooks for transparency and reproducibility. Collaborate with developers and DevOps to embed security in the SDLC. Implement centralized logging and monitoring using AWS CloudWatch, Azure Monitor, and integrate with SIEM tools for real-time alerting and incident response. Perform audits and ensure adherence to regulatory standards (e.g., ISO 27001, SOC 2, HIPAA, GDPR).Support audit readiness by aligning infrastructure with CIS Benchmarks, NIST guidelines, and cloud provider best practices. Evaluate and integrate security tools like WAFs, CASBs, SIEM, SAST/DAST tools. Required Qualifications: 3+ years of experience in cloud engineering with 2+ years in cloud security. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency in scripting (Python, Bash, PowerShell) and automation. Experience with IaC tools (Terraform, CloudFormation, Pulumi). Strong understanding of network security, identity and access management (IAM), encryption, and compliance frameworks. Familiarity with DevSecOps practices and secure CI/CD pipelines. Preferred Qualifications: 3+ years of experience in cloud administration or engineering, with responsibility for both infrastructure and security. Hands-on experience with AWS and/or Azure, including compute, networking, IAM, and monitoring. Experience managing Snowflake, PostgreSQL, and/or MySQL in cloud environments. Strong understanding of cloud security principles. Proficient in scripting/automation using Python Experience supporting or aligning with compliance frameworks. Relevant certifications (AWS Certified Security – Specialty, Azure Security Engineer Associate). Soft Skills: Strong analytical and problem-solving skills. Effective communication across technical and non-technical teams. Ownership mindset and continuous learning attitude.

Location: Remote - India Job Type: Full-Time Role Overview: We are looking for a skilled Cloud Administrator to take ownership of both infrastructure management and cloud security across AWS and Azure environments. This role involves configuring, monitoring, and maintaining cloud resources including Snowflake, PostgreSQL, and MySQL while also ensuring that security best practices are applied across identity, access, networking, and data layers. The ideal candidate will have hands-on experience in automation, cloud governance, and secure architecture, and will play a key role in enforcing compliance, managing risk, and supporting secure, scalable operations across cloud platforms. Key Responsibilities: Configure, monitor, and maintain cloud infrastructure on AWS and Azure to support scalable and secure data workloads. Administer Snowflake, PostgreSQL, and MySQL databases, ensuring proper access controls, performance tuning, and cost efficiency .Design and manage secure IAM policies and role-based access controls across AWS, Azure, and Snowflake. Implement cloud-native security tools and services (AWS Security Hub, Azure Defender, GCP Security Command Center). Develop and enforce cloud security standards, policies, and procedures. Conduct threat modeling, vulnerability assessments, and risk analysis for cloud environments. Automate cloud security controls using IaC (Terraform, CloudFormation) and CI/CD pipelines. Monitor and respond to cloud security incidents. Monitor resource usage, optimize cost, and troubleshoot performance issues across environments. Maintain infrastructure documentation, playbooks, and runbooks for transparency and reproducibility. Collaborate with developers and DevOps to embed security in the SDLC. Implement centralized logging and monitoring using AWS CloudWatch, Azure Monitor, and integrate with SIEM tools for real-time alerting and incident response. Perform audits and ensure adherence to regulatory standards (e.g., ISO 27001, SOC 2, HIPAA, GDPR).Support audit readiness by aligning infrastructure with CIS Benchmarks, NIST guidelines, and cloud provider best practices. Evaluate and integrate security tools like WAFs, CASBs, SIEM, SAST/DAST tools. Required Qualifications: 3+ years of experience in cloud engineering with 2+ years in cloud security. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency in scripting (Python, Bash, PowerShell) and automation. Experience with IaC tools (Terraform, CloudFormation, Pulumi). Strong understanding of network security, identity and access management (IAM), encryption, and compliance frameworks. Familiarity with DevSecOps practices and secure CI/CD pipelines. Preferred Qualifications: 3+ years of experience in cloud administration or engineering, with responsibility for both infrastructure and security. Hands-on experience with AWS and/or Azure, including compute, networking, IAM, and monitoring. Experience managing Snowflake, PostgreSQL, and/or MySQL in cloud environments. Strong understanding of cloud security principles. Proficient in scripting/automation using Python Experience supporting or aligning with compliance frameworks. Relevant certifications (AWS Certified Security – Specialty, Azure Security Engineer Associate). Soft Skills: Strong analytical and problem-solving skills. Effective communication across technical and non-technical teams. Ownership mindset and continuous learning attitude.

Location: Remote - India Job Type: Full-Time Role Overview We are looking for a QA Engineer with strong experience in test automation and CI/CD practices, particularly using Azure DevOps. The ideal candidate will have solid Python programming skills and a strong understanding of quality assurance processes in cloud-native environments. This role will focus on integrating testing into build and release pipelines, ensuring product quality through automated and manual testing, and working closely with developers and Data engineers. Additionally, the role requires experience in testing Azure Data Factory pipelines and Databricks notebooks and workflows. Key Responsibilities Design, configure, and maintain test automation in Azure DevOps pipelines. Implement quality gates, automated test triggers, and release-stage validation steps. Collaborate with DevOps and engineering teams to maintain reliable, scalable build and deployment workflows. Develop and maintain automated test scripts and frameworks using Python. Automate functional, API, integration, and regression test cases. Load testing and Data Quality & Validation Testing. Use Python to create utilities for test data management, reporting, and environment setup. Design and execute test cases for new features and production support issues. Conduct manual testing for UI, exploratory, and user acceptance validation. Work with developers to identify bugs early through shift-left testing practices. Review application logs and diagnostics to analyze test failures and report defects. Validate end-to-end data workflows and ETL pipelines in Azure Data Factory. Perform schema validation, data quality checks, and lineage validation across data layers. Identify and troubleshoot issues in data ingestion, processing, and storage. Required Qualifications 3+ years of experience in QA engineering or test automation roles. Hands-on experience with Azure DevOps CI/CD pipelines and testing stages. Strong programming knowledge in Python. Experience with API testing and automation tools (e.g., Postman, REST Assured, Pytest). Familiarity with Git, branching strategies, and code integration workflows. Solid understanding of SDLC, QA methodologies, and agile development. Preferred Qualifications Experience working with containerized environments (Docker, Kubernetes). Exposure to performance or load testing tools (e.g., JMeter, k6). Familiarity with cloud-based environments and test environment provisioning. Knowledge of SQL or data validation testing techniques. Soft Skills Strong attention to detail and analytical thinking. Effective communication and documentation skills. Self-starter with the ability to work independently and collaboratively. Comfortable working in fast-paced, agile development environments.