Location: Bangalore, Karnataka, India
Experience: 3–5 years
About the Role
We are looking for a hands-on Associate Engineering Lead to support cloud infrastructure, DevOps workflows, deployment automation, and platform reliability across ARTPARK’s AI and data platforms.
The role involves managing AWS cloud infrastructure, building and maintaining CI/CD pipelines, supporting scalable deployments, managing engineering and cloud operations, coordinating with data engineering and product development teams, and enabling reliable day-to-day platform operations. The candidate will also support product development teams by providing technical guidance on infrastructure, deployment, scalability, and operational requirements, and assist in troubleshooting application and deployment-related issues.
The ideal candidate should have strong cloud and DevOps fundamentals, good problem-solving ability, and the ability to work closely with engineers, product managers, and program managers in a multidisciplinary environment.
Key Responsibilities
Cloud Infrastructure & Platform Operations
Manage and maintain cloud infrastructure on AWS
Support services such as EC2, S3, IAM, VPC, Load Balancers, RDS, and CloudWatch
Monitor infrastructure performance, uptime, and reliability
Support backup, security, and disaster recovery practices
Assist in cloud resource optimisation and infrastructure maintenance
DevOps & CI/CD
Build and maintain CI/CD pipelines for deployment workflows
Support automated build, testing, and deployment processes
Manage containerised deployments using Docker
Support Kubernetes-based deployments and orchestration (preferred)
Implement deployment automation and infrastructure best practices
Engineering Coordination & Platform Support
Work closely with software engineers, data engineers, and AI/ML teams
Coordinate and support data engineering activities related to deployments, infrastructure, and platform integration
Provide technical guidance and operational support to engineering teams
Support deployment and scaling of APIs, data pipelines, and platform services
Assist in debugging deployment and infrastructure-related issues
Contribute to improving engineering workflows and operational efficiency
Product & Cross-functional Collaboration
Work closely with product managers, program managers, and engineering teams to support product development and deployment activities
Participate in technical discussions, sprint planning, and infrastructure planning activities
Provide inputs on deployment architecture, scalability, and operational feasibility
Coordinate across multidisciplinary teams to ensure smooth engineering and platform operations
Support product development teams by providing technical guidance on infrastructure, deployment, scalability, and operational requirements.
Assist developers in troubleshooting application, integration, and deployment-related issues to ensure smooth product delivery.
Platform Administration & Engineering Operations
Manage and support operational administration of engineering and collaboration platforms such as AWS, Slack, Linear, GitHub, and related tools
Handle user onboarding/offboarding, access management, permissions, and workspace administration
Support engineering teams in managing cloud resources, environments, and operational workflows
Coordinate platform access, security practices, and engineering operational support across teams
Maintain operational documentation and infrastructure-related configurations
Monitoring & Reliability
Implement monitoring, logging, and alerting systems
Support issue resolution and operational troubleshooting
Help ensure the reliability, scalability, and stability of production systems
Required Qualifications
Required Skills and Experience
3–5 years of experience in DevOps, cloud infrastructure, platform engineering, or related roles
Strong hands-on experience with AWS cloud services
Experience building and managing CI/CD pipelines
Experience with Docker and containerised deployments
Good understanding of Linux systems and server management
Familiarity with Git workflows and version control systems
Scripting/programming experience in Python, Bash, or similar languages
Understanding of monitoring, logging, and infrastructure troubleshooting
Experience working closely with engineering or product teams in collaborative development environments
Preferred Skills
Exposure to Kubernetes and orchestration tools
Familiarity with Infrastructure-as-Code tools (Terraform, Ansible, etc.)
Exposure to AI/ML deployment workflows or MLOps environments
Experience supporting data engineering or API-based systems
Familiarity with FastAPI, backend deployments, or cloud-native applications
Exposure to scalable data platforms or distributed systems
Desired Attributes
Strong ownership mindset and problem-solving ability
Ability to coordinate across engineering and product teams
Comfortable working in evolving multidisciplinary environments
Good communication and collaboration skills
Ability to balance hands-on technical work with engineering coordination responsibilities
Ability to manage engineering operations and platform administration in a fast-evolving environment
Interest in building scalable systems for real-world impact
What the Candidate Will Work On
The selected candidate will contribute to:
AI-enabled surveillance platforms
Geospatial decision-support systems
Environmental and clinical surveillance tools
Scalable cloud infrastructure for AI and analytics systems
Digital public-good technology platforms
About ARTPARK
ARTPARK @ IISc (AI & Robotics Technology Park) fosters innovations in AI & Robotics by bringing together the best of research, startup, industry, and government ecosystems. We drive mission-oriented deep-tech projects, technology business incubation, and translational research in areas such as industrial automation, mobility, agriculture, healthcare and education.ARTPARK is seed-funded by the Department of Science & Technology (DST), Govt. of India, under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) and the Govt. of Karnataka.
