AWS DevOps Engineer Brief about the company: At Entech, we believe technology needs a personal touch - after all, it’s made for humans, by humans. We ensure that every solution we create is infused with empathy, understanding, and a genuine desire to enhance the human experience. To support our lenders and emerging fintech clients, we developed Anovaa, a loan origination platform that empowers brands to build products to drive business growth through lending. Entech is headquartered in Malvern, PA with offices around the world. Our team is growing and we are looking for an AWS DevOps Engineer for a long-term collaboration. This is a fully remote position. Responsibilities: Design, deploy, and maintain AWS infrastructure. Implement best practices for scalability, reliability, performance, and security. Develop and maintain CI/CD pipelines. Automate software build, test, and deployment processes for faster, more reliable releases. Implement automated rollback and recovery mechanisms to ensure availability during deployment failures. Ensure environment consistency and reproducibility. Implement AWS Identity and Access Management (IAM) policies, roles, and permissions. Conduct security assessments and maintain compliance with relevant security standards. Set up monitoring, logging, and alerting systems using AWS CloudWatch, ELK stack, or third-party tools. Troubleshoot production issues and collaborate with development teams to deploy solutions. Collaborate with development, QA, and DevOps teams to align deployment processes. Maintain comprehensive documentation of cloud architectures, processes, and deployment guidelines. Stay updated with the latest AWS advancements and industry trends. Qualifications: 5+ years of experience as an AWS DevOps engineer. Strong Shell scripting skills. Experience with containerization technologies (Docker, Kubernetes). Experience with tools like Terraform, AWS CloudFormation, or AWS CDK for infrastructure provisioning. Experience with EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and ECS/EKS. Experience with AWS Code Pipeline, Jenkins, GitLab CI, or CircleCI. Knowledge of best practices in Infrastructure as Code (IaC) tools (Terraform, CloudFormation, CDK).
AWS DevOps Engineer This is a fully remote position. Please note, that we're looking for an AWS DevOps Engineer to join our team and work closely with our US-based team members. Therefore the role operates on Eastern Standard Time (EST) business hours, which is from 6:00 PM to 2:30 AM India time. Please apply only if you are comfortable with this schedule. Brief about the company: At Entech, we believe technology needs a personal touch - after all, it’s made for humans, by humans. We ensure that every solution we create is infused with empathy, understanding, and a genuine desire to enhance the human experience. To support our lenders and emerging fintech clients, we developed Anovaa, a loan origination platform that empowers brands to build products to drive business growth through lending. Entech is headquartered in Malvern, PA with offices around the world. Our team is growing and we are looking for an AWS DevOps Engineer for a long-term collaboration. Responsibilities: Design, deploy, and maintain AWS infrastructure. Implement best practices for scalability, reliability, performance, and security. Develop and maintain CI/CD pipelines. Automate software build, test, and deployment processes for faster, more reliable releases. Implement automated rollback and recovery mechanisms to ensure availability during deployment failures. Ensure environment consistency and reproducibility. Implement AWS Identity and Access Management (IAM) policies, roles, and permissions. Conduct security assessments and maintain compliance with relevant security standards. Set up monitoring, logging, and alerting systems using AWS CloudWatch, ELK stack, or third-party tools. Troubleshoot production issues and collaborate with development teams to deploy solutions. Collaborate with development, QA, and DevOps teams to align deployment processes. Maintain comprehensive documentation of cloud architectures, processes, and deployment guidelines. Stay updated with the latest AWS advancements and industry trends. Qualifications: 5+ years of experience as an AWS DevOps engineer. Strong Shell scripting skills. Experience with containerization technologies (Docker, Kubernetes). Experience with tools like Terraform, AWS CloudFormation, or AWS CDK for infrastructure provisioning. Experience with EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and ECS/EKS. Experience with AWS Code Pipeline, Jenkins, GitLab CI, or CircleCI. Knowledge of best practices in Infrastructure as Code (IaC) tools (Terraform, CloudFormation, CDK). Thank you so much for your interest in this opportunity. While we wish we could respond to every applicant personally, due to the high volume of applications, we’re only able to reach out to those whose qualifications closely align with the role. We truly appreciate your time and understanding.
AI Data Engineer (AWS/Snowflake) Remote (India-Based) Overview Entech Consulting is supporting our client, an AI-driven company that helps global organizations reduce the cost and time-to-market for promotional assets through intelligent automation. They recently secured multiple new engagements and is expanding rapidly. We’re seeking a strong technical AI Data Engineer with recent hands-on AI/ML and data engineering experience to join their growing team. This is a remote role based in India, working closely with a mostly U.S.-based team of strategists and engineers. Key Responsibilities Develop and optimize data pipelines and API integrations to support AI/ML workloads. Configure and maintain AWS infrastructure for AI and data operations, including S3, Lambda, VPC, ECS/ECR, and CloudFormation. Design and manage Snowflake environments (Snowpipe, Warehouses, Databases) for scalable data ingestion and processing. Build and maintain connectors and APIs for integrating training datasets into LLMs (Large Language Models). Collaborate with a small, agile team to deliver AI-driven solutions from data ingestion through model deployment. Contribute ideas, challenge assumptions, and help shape a fast-moving AI product environment. Required Skills & Experience 5+ years of experience in AI/ML field and AWS Recent, hands-on experience with AI/ML data pipelines — not limited to internal reporting or BI work. AWS expertise across: - CloudFormation - DynamoDB - Lambda - Security/encryption (AMS KMS) - VPC, S3 - API management - ECS, ECR AI/ML integration experience, ideally with SageMaker or similar frameworks. Snowflake (Snowpipe, Database, Warehouse) including Lambda-Snowflake queries and data synchronization. Strong understanding of data architecture and cloud infrastructure for AI workloads. Soft Skills & Culture Fit Strong communication and collaboration skills — able to engage effectively with U.S.-based team members. Proactive, curious, and entrepreneurial mindset. Comfortable working in a tight-knit team where ideas are shared openly and everyone contributes. Excited about AI innovation and continuous learning. We offer Fully remote work Competitive salary Paid time off Opportunity for professional growth If you’re interested and think you could thrive in this role, we’d love to hear from you!