Qureos Mentor

Coffee Beans

<div><div><div><div><b>Experience</b> - 3-5 years</div><div><b>
Location</b> - Hyderabad</div><div><b>
Mode of work</b> - Onsite (5 days WFO)<br>
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<b>Job Overview:</b></div><p>
We are seeking a Cloud/DevOps Engineer with solid experience in <b>Amazon Web Services (AWS)</b> and <b>Terraform</b>(Infrastructure as Code) and <b>Kubernetes</b> (Container Orchestration). The ideal candidate will play a key role in designing, deploying, automating, and managing scalable, secure, and resilient cloud infrastructure.</p><p></p><p><b>
Key Responsibilities:</b></p><div><br>
<ul><li><b> Design and implement cloud infrastructure</b> on AWS using best practices around scalability, security, and high availability.</li><li>Use <b>Terraform</b> to define and provision cloud resources via Infrastructure as Code (IaC).</li><li>Manage containerised applications and orchestrate workloads via <b>Kubernetes.</b></li><li>Automate provisioning, configuration, deployment, and monitoring processes using modern DevOps tools.</li><li>Build and maintain CI/CD pipelines to streamline build-test-release cycles.</li><li>Monitor infrastructure performance, costs, and health using tools like CloudWatch, Prometheus, or Grafana.</li><li>Troubleshoot infrastructure and deployment issues in development, staging, and production environments.</li><li>Work closely with development, QA, and security teams to align cloud strategies with business goals.</li></ul></div><p></p><p><b>
Must-Have Skills:</b></p><ul><li><b> 3&ndash;5 years of hands-on AWS experience</b>, including core services such as EC2, VPC, S3, RDS, IAM, CloudWatch, and ECS/EKS.</li><li><b> Terraform</b>: writing reusable modules, managing state, and integrating with CI/CD workflows,</li><li><b> Kubernetes</b>: deploying/managing clusters, Helm charts, ingress, and service discovery.</li><li>Familiarity with container technologies like <b>Docker</b>.</li><li>Solid understanding of networking, IAM, and cloud security best practices.</li><li>Experience with version control (Git) and CI/CD tools (GitLab CI, GitHub Actions, Jenkins, etc.).</li><li>Good scripting skills in <b>Python</b>, <b>Bash</b>, or similar.</li></ul><p></p><p><b>
Nice-to-Have Skills:</b></p><ul><li>AWS Certifications (e.g., Solutions Architect Associate/Professional).</li><li>Experience with serverless architecture (e.g., AWS Lambda, API Gateway).</li><li>Observability stack experience (e.g., Cloud Watch, Loki, Datadog).</li><li>Familiarity with GitOps practices (e.g., ArgoCD or Flux).</li></ul></div></div></div>

DevOps Engineer

<div><div><div><p><b>Location:</b> Mumbai (with short/medium-term travel opportunities within India &amp; foreign location)<br>
<b>Experience:</b> 5 -8 years<br>
<b>Job Type:</b> Full-time</p><p><b>
About the Role</b></p><p>
We are looking for experienced data engineers who can independently build, optimize, and manage scalable data pipelines and platforms. In this role, you&rsquo;ll work closely with clients and internal teams to deliver robust data solutions that power analytics, AI/ML, and operational systems. You&rsquo;ll also help mentor junior engineers and bring engineering discipline into our data engagements.</p><p><b>
Key Responsibilities</b></p><p>
Design, build, and optimize large-scale, distributed data pipelines for both batch and streaming use cases.<br>
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Implement scalable data models, data warehouses/lakehouses, and data lakes to support analytics and decision-making.</p><div><br>
Collaborate with cross-functional stakeholders to understand business requirements and translate them into technical data solutions.</div><div><br>
Drive performance tuning, monitoring, and reliability of data pipelines.</div><div><br>
Write clean, modular, and production-ready code with proper documentation and testing.</div><div><br>
Contribute to architectural discussions, tool evaluations, and platform setup.</div><p><br>
Mentor junior engineers and participate in code/design reviews.</p><p><b><br>
Must-Have Skills</b></p><p>
Strong programming skills in Python and advanced SQL expertise.</p><div><br>
Deep understanding of data engineering concepts such as ETL/ELT, data modeling (OLTP &amp; OLAP), warehousing, and stream processing.</div><div><br>
Experience with distributed data processing frameworks (e.g., Apache Spark, Flink, or similar).</div><div></div><div><br>
Exposure with Java is mandate<br>
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Experience with building pipelines using orchestration tools like Airflow or similar.</div><div><br>
Familiarity with CI/CD pipelines and version control tools like Git.</div><p><br>
Ability to debug, optimize, and scale data pipelines in real-world settings.</p><p><b><br>
Good to Have</b></p><p>
Experience working on any major cloud platform (AWS preferred; GCP or Azure also welcome).</p><div><br>
Exposure to Databricks, dbt, or similar platforms is a plus.</div><div><br>
Experience with Snowflake is preferred.<br>
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Understanding of data governance, data quality frameworks, and observability.</div><p><br>
Certification in AWS (e.g., Data Analytics, Solutions Architect) or Databricks is a plus.</p><p><b><br>
Other Expectations</b></p><p>
Comfortable working in fast-paced, client-facing environments.</p><div><br>
Strong analytical and problem-solving skills with attention to detail.</div><div><br>
Ability to adapt across tools, stacks, and business domains.</div><p><br>
Willingness to travel within India for short/medium-term client engagements as needed.</p></div></div></div><div></div>

Data Engineer - Mumbai

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DevOps Engineer

Data Engineer - Mumbai