DevOps Engineer Python Developer Full Time

We are seeking an experienced DevOps Engineer with strong Python development skills to join our team. In this role you will be responsible for designing implementing and maintaining our cloud infrastructure developing Pythonbased servers and ensuring scalability across a multicloud environment. You will play a key role in developing scalable serverless solutions automating deployment pipelines and managing cloud environments (AWS Azure GCP). Working closely with both the development and operations teams you will ensure the seamless integration deployment and maintenance of our SaaS platform with 99% uptime.

Key Responsibilities

• Design develop and maintain Custom Built Serverless systems for highvolume traffic and realtime processing.
• Architect implement and manage cloud infrastructure across AWS Azure and GCP for scalability and performance.
• Implement and manage container orchestration systems such as Kubernetes and ECS ensuring optimal performance across cloud environments.
• Develop and maintain Infrastructure as Code (IaC) using tools like Terraform CloudFormation or Pulumi.
• Experience with building Serverless services using Batch and Jobs.
• Build maintain and optimize CI/CD pipelines for automated deployment and scaling of both serverless and containerized applications.
• Implement robust monitoring logging and alerting systems to ensure high availability fault tolerance and disaster recovery.
• Optimize cloud resource utilization for costeffectiveness and performance improvements.
• Collaborate with development teams to integrate and manage APIs microservices and databases (SQL/NoSQL) in scalable environments.
• Ensure the security and compliance of our infrastructure and applications applying cloudnative security best practices.
• Troubleshoot and resolve complex issues in both development and production environments.
• Stay current with industry trends and emerging technologies especially in cloud DevOps and Python development.
• Contribute to opensource projects and represent the company at industry events and conferences.

Requirements

Required Qualifications

• Bachelors degree in Computer Science Engineering or a related field.
• 3 years of experience in DevOps Cloud Engineering or Python Development roles.
• Expertise in cloud platforms (AWS Azure GCP) with strong knowledge of their services particularly for serverless compute and storage solutions.
• Proficient in Python development with experience in building and maintaining Python servers and APIs.
• Advanced understanding of containerization (Docker) and orchestration systems (Kubernetes).
• Strong handson experience with Infrastructure as Code (Terraform CloudFormation Pulumi) and automation scripting.
• Proficiency in building managing and optimizing CI/CD pipelines using tools such as Jenkins GitLab CI or GitHub Actions.
• Familiarity with monitoring and observability tools (Prometheus Grafana ELK stack) for troubleshooting and system insights.
• Solid understanding of cloud security networking concepts and security best practices in cloud environments.
• Excellent problemsolving skills attention to detail and ability to thrive in a fastpaced environment.

Preferred Qualifications

• Experience with multicloud management and migration strategies across AWS Azure and GCP.
• Expertise in eventdriven architectures message queues and serverless platforms (AWS Lambda Google Cloud Functions Azure Functions).
• Familiarity with microservices architecture distributed systems and databases (SQL NoSQL) in cloud environments.
• Contributions to opensource projects related to cloud DevOps or Python development.
• Relevant cloud certifications (AWS Azure GCP).
• Experience in presen

Benefits

What we offer:

• Opportunity to work on and shape cuttingedge cloud and serverless technologies
• A collaborative and innovative work environment that encourages creativity and pushes technological boundaries
• Competitive salary and benefits package
• Professional development and learning opportunities
• Remote work options
• Chance to contribute to the broader tech community through opensource contributions and conference presentations

We are looking for Deep Learning Engineers who – Has a strong academic background in concepts of machine learning and deep learning. Hands on experience in working with deep learning frameworks like tensorflow, pytorch etc Enjoys working on various DL problems that involves using different types of training data sets – textual, tabular, categorical, images etc Comfortable deploying code in cloud environments/on premise environments. Should be comfortable and flexible in working in an environment where priorities evolve Writes clean code has the habit of maintaining a clean documented code Understands best practices in ML/DL and is continuously open to learning. At least 2+ years of experience in ML/DL *Additional bonus points if: * You ve worked in problem statements related to Financial Services You published your work in any journals Experience with startups *Your responsibilities: * Working with data science team in building/optimizing the current DL systems Own the model building and model deployment tasks like data collection, data cleaning, creating data pipelines, generating & analysing model output, model validations and deploying them in production Sync/rotate between internal product work and client deployment work Work closely with product managers and management team on micro & macro goals Be an active part in the product discussions and contribute to the product development roadmap.