5785 Ai Deployment Engineer West jobs near me

Company: Ralakde Automation

Location: Siliguri, West Bengal (Onsite)

Employment Type: Full-Time

Salary: Negotiable, based on experience and technical proficiency

Roles & Responsibilities1. Software Development

• Design, develop, test, deploy, and maintain scalable web applications and software services.
• Develop backend applications and REST APIs using Python, Django, and Django REST Framework (DRF).
• Build responsive and user-friendly frontend applications using HTML, CSS, JavaScript, React.js, Next.js, or similar modern frameworks.
• Develop and maintain software features for SaaS products, internal business applications, and automation platforms.
• Design and implement clean, maintainable, reusable, and scalable software components.
• Work with relational databases, particularly PostgreSQL, including database design, schema management, data modelling, and optimisation of SQL queries.
• Integrate frontend applications with backend APIs, third-party services, and external systems.
• Develop authentication, authorisation, API integrations, and other application-level services.
• Write unit, integration, and functional tests to ensure software quality and reliability.
• Debug application issues, identify root causes, and implement effective technical solutions.
• Improve application performance, scalability, reliability, and maintainability.
• Participate in code reviews and follow established coding standards and software engineering best practices.
• Use Git and GitHub for source-code management, branching, code reviews, and collaborative development.
• Work closely with product, design, and engineering teams to understand requirements and convert them into practical technical solutions.

2. DevOps, Cloud & Infrastructure

• Design, implement, maintain, and improve CI/CD pipelines for application build, testing, deployment, and release processes.
• Automate software deployment processes to improve development speed, reliability, and consistency.
• Deploy and manage applications and backend services across cloud or server environments.
• Work with cloud platforms such as AWS, DigitalOcean, Azure, or similar platforms.
• Work with cloud services such as compute, storage, databases, networking, monitoring, and application hosting.
• Containerise applications using Docker and manage container-based deployment environments.
• Work with Linux/Unix environments, including basic system administration, shell commands, process management, permissions, and troubleshooting.
• Develop and maintain infrastructure using Infrastructure as Code (IaC) tools such as Terraform, AWS CloudFormation, or similar technologies.
• Configure and maintain development, staging, and production environments.
• Manage environment variables, application configurations, secrets, deployment configurations, and service dependencies.
• Automate repetitive infrastructure, deployment, monitoring, and operational tasks using scripting and automation tools.
• Maintain reliable and repeatable deployment processes with appropriate rollback mechanisms.
• Collaborate with developers to identify and resolve deployment, infrastructure, and environment-related issues.

3. Monitoring, Reliability & Production Operations

• Monitor application health, infrastructure performance, system availability, and resource utilisation.
• Implement and maintain logging, monitoring, alerting, and observability solutions.
• Analyse application logs, system metrics, errors, and performance data to identify potential issues.
• Troubleshoot production incidents and deployment failures and work towards timely resolution.
• Perform root-cause analysis of recurring technical and production issues.
• Implement corrective and preventive measures to reduce recurring incidents and operational problems.
• Support application releases and production deployments.
• Identify performance bottlenecks and infrastructure limitations and recommend appropriate improvements.
• Contribute to improving application availability, reliability, scalability, and operational efficiency.
• Assist in implementing backup, recovery, rollback, and disaster-recovery practices where required.
• Maintain appropriate technical documentation for deployment procedures, infrastructure configurations, troubleshooting processes, and operational workflows.

4. Security & Engineering Practices

• Follow secure software development practices while designing and implementing applications and APIs.
• Apply appropriate authentication, authorisation, access-control, and API-security practices.
• Follow secure handling of credentials, API keys, environment variables, and sensitive configuration data.
• Maintain appropriate permissions and access controls across development and deployment environments.
• Keep application dependencies, packages, libraries, and infrastructure components appropriately maintained.
• Identify potential security, reliability, and performance risks and communicate them to the relevant team members.
• Follow coding standards, version-control practices, code-review processes, testing standards, and deployment procedures.

5. AI-Assisted Development

• Use AI-assisted development tools such as Claude, ChatGPT, Cursor, GitHub Copilot, and similar tools effectively in daily development workflows.
• Use AI tools for code generation, debugging, refactoring, documentation, testing, research, and development productivity.
• Validate AI-generated code for correctness, security, performance, maintainability, and compatibility before implementation.
• Explore and adopt suitable AI-enabled development practices that improve engineering productivity without compromising software quality.

6. Collaboration & Continuous Improvement

• Work closely with product, design, engineering, and business teams to understand requirements and deliver technical solutions.
• Participate in technical discussions, architecture discussions, sprint planning, code reviews, and release activities.
• Communicate technical issues, progress, risks, and dependencies clearly to relevant stakeholders.
• Contribute to improving development workflows, deployment processes, infrastructure, and engineering practices.
• Identify opportunities to automate manual processes and reduce repetitive operational work.
• Stay updated with modern software development, cloud, DevOps, automation, and AI-assisted engineering practices.
• Continuously learn and adopt technologies that can improve the scalability, reliability, security, and efficiency of Ralakde's products and platforms.

Required Skills

• Minimum 2 years of professional experience as a Software Development Engineer, Software Engineer, Full Stack Developer, or similar engineering role is preferred.
• Strong programming fundamentals in Python and JavaScript.
• Practical experience with Django and Django REST Framework (DRF).
• Good knowledge of React.js, Next.js, or other modern frontend frameworks.
• Strong understanding of REST API design, development, integration, and troubleshooting.
• Proficiency in HTML5, CSS3, JavaScript, and responsive web development.
• Good understanding of relational databases and SQL.
• Practical experience with PostgreSQL.
• Strong understanding of Git and GitHub workflows.
• Understanding of software development lifecycle, testing, code reviews, and version control.
• Working knowledge of Linux/Unix environments and shell commands.
• Practical understanding of CI/CD pipelines and automated deployment processes.
• Familiarity with Docker and containerisation.
• Understanding of cloud platforms such as AWS, Azure, DigitalOcean, or equivalent.
• Understanding of basic cloud infrastructure concepts including compute, storage, networking, databases, and security.
• Familiarity with Infrastructure as Code (IaC) concepts and tools such as Terraform or CloudFormation.
• Understanding of application monitoring, logging, alerting, and troubleshooting.
• Good problem-solving, debugging, analytical, and root-cause-analysis skills.
• Strong written and verbal communication skills in English.
• Ability to work independently as well as collaboratively within a technical team.

Preferred Skills

• Experience deploying and maintaining production applications on AWS, DigitalOcean, Azure, or similar cloud platforms.
• Experience with Docker, Docker Compose, Kubernetes, or similar container technologies.
• Experience with GitHub Actions, Jenkins, GitLab CI/CD, AWS CodePipeline, or similar CI/CD tools.
• Experience with Terraform, AWS CloudFormation, AWS CDK, or other Infrastructure as Code tools.
• Familiarity with AWS services such as EC2, S3, RDS, Lambda, CloudWatch, VPC, IAM, Route 53, or equivalent cloud services.
• Experience with Redis, Celery, background jobs, queues, or asynchronous processing.
• Experience with Nginx, Gunicorn, Apache, or similar web/application servers.
• Experience configuring and managing Linux-based production servers.
• Experience with application and infrastructure monitoring tools such as Prometheus, Grafana, CloudWatch, or similar platforms.
• Familiarity with centralised logging, metrics, tracing, and observability concepts.
• Understanding of load balancing, DNS, networking, firewalls, security groups, and basic cloud security.
• Experience implementing automated testing and deployment pipelines.
• Experience with automated rollback, backup, recovery, or disaster-recovery mechanisms.
• Understanding of JWT authentication, OAuth, API security, and web security best practices.
• Experience working with SaaS application architecture and multi-environment deployments.
• Experience contributing to open-source projects.
• Experience using AI coding assistants such as Claude, ChatGPT, Cursor, or GitHub Copilot.
• Experience working in an AI-first engineering environment.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related technical field is preferred.
• Minimum 2 years of relevant professional software development experience is preferred.
• Demonstrated experience in developing, testing, deploying, and maintaining software applications.
• Strong problem-solving and analytical abilities.
• Good communication and collaboration skills.
• Ability to learn new technologies and adapt to a rapidly evolving technical environment.

Work Schedule

• Monday to Friday: 10:00 AM – 7:30 PM
• Saturday: 9:00 AM – 2:00 PM
• Sunday: Weekly Off

Work Location: Siliguri, West Bengal – Onsite

Pay: ₹25,000.00 - ₹35,000.00 per month

Benefits:

• Paid sick time
• Paid time off

Work Location: In person