Description

We are looking for a DevOps Engineer (Senior Associate) who is excited to build, automate, and support modern cloud platforms! In this role, you will help design, implement, and operate cloud infrastructure and CI/CD pipelines that power microservices-based systems. This position is well suited for someone with a strong DevOps foundation who is eager to grow their skills, learn from experienced engineers, and make a real impact across the software delivery lifecycle.

Role Responsibilities & Key Accountabilities

• Apply business and technical requirements to help design and implement DevOps and infrastructure solutions
• Contribute to Infrastructure as Code (IaC) and automation solutions, with support and guidance from senior team members
• Develop, maintain, and review Terraform modules and reusable IaC patterns to provision secure, scalable, and consistent cloud infrastructure across environments
• Build, maintain, and improve CI/CD pipelines and deployment automation
• Support the reliability, performance, and availability of cloud-based systems
• Support FinOps practices by improving cloud cost visibility, enforcing tagging standards, identifying optimization opportunities, and partnering with engineering teams to reduce waste
• Collaborate with developers, architects, and product teams to deliver practical, high-quality solutions
• Follow established DevOps practices, coding standards, and security guidelines
• Take ownership of assigned work and deliver outcomes with growing independence
• Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives
• Assist with troubleshooting incidents and resolving deployment or infrastructure issues
• Communicate technical challenges clearly and escalate when support is needed
• Actively develop technical and domain knowledge through hands-on work, training, and certifications.

Key Responsibilities

• Understand and analyze business use cases and technical requirements
• Build and support infrastructure for microservices-based applications
• Assist with automating infrastructure deployments using IaC tools
• Create and maintain Terraform code for AWS services such as VPC, IAM, S3, RDS/Aurora, Lambda, EKS, and monitoring components, following version control and review practices
• Support CI/CD pipelines used by multiple development teams
• Help implement monitoring, logging, and alerting to improve system reliability
• Contribute ideas to improve existing DevOps tools, pipelines, and processes
• Drive cloud cost optimization initiatives using FinOps principles, including rightsizing, scheduled start/stop automation, storage lifecycle management, unused resource cleanup, and cost trend analysis
• Work within Agile and Lean delivery methodologies
• Support solutions throughout the product lifecycle, from development to deployment and operations
• Ensure solutions meet security, scalability, and resilience standards
• Capture requirements from stakeholders and translate them into actionable technical tasks
• Assist in integrating AI‑driven tooling, automation frameworks, and intelligent optimization solutions to enhance DevOps workflows and platform efficiency.
• Provide support for cloud databases such as Amazon RDS, Amazon Aurora/Aurora PostgreSQL, PostgreSQL, and other cloud-native data services, while also working with tools like Liquibase for database versioning, AWS Step Functions for workflow orchestration, and AWS Glue for data integration and ETL automation.

Qualifications & Experience

• 8–12 years of professional experience in a DevOps, platform, cloud, or infrastructure engineering role
• Professional qualification or equivalent practical experience
• Experience working in a software delivery environment
• Working knowledge of cloud platforms and DevOps tooling
• Hands-on experience with Terraform-based infrastructure provisioning, module reuse, state management, and environment promotion practices
• Understanding of SDLC and CI/CD concepts
• Awareness of FinOps practices, cloud cost governance, tagging standards, and cost optimization approaches for production and non-production environments
• Curiosity, continuous learning mindset, and interest in AI-driven engineering practices.

Technical Skills

• Hands-on experience with AWS or Azure cloud platforms
• Experience using Infrastructure as Code tools such as Terraform or CloudFormation
• Strong practical knowledge of Terraform, including modules, remote state, workspaces, providers, variables, outputs, lifecycle rules, plan/apply workflows, and code review practices
• Familiarity with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps
• Scripting experience using Python or Bash
• Basic to intermediate knowledge of Kubernetes (EKS experience is a plus!)
• Familiarity with Unix/Linux environments
• Experience using Git-based version control systems
• Understanding of monitoring, logging, and alerting concepts
• Exposure to security, governance, and compliance practices in cloud environments
• Understanding of FinOps tools and practices such as AWS Cost Explorer, budgets, tagging hygiene, rightsizing recommendations, storage optimization, and cost-aware architecture decisions
• Proficiency in Python, Bash, or PowerShell.
• Experience using AI-assisted tools (e.g., GitHub Copilot, ChatGPT, Amazon CodeWhisperer) for automation, code generation, and operational insights.
• Hands-on experience supporting Amazon RDS and Amazon Aurora, including configuration, monitoring, backups, upgrades, performance tuning, and operational troubleshooting.
• AWS certification is desirable but not required

Soft Skills

• Strong problem-solving and analytical skills
• Clear written and verbal communication skills
• Ability to collaborate effectively within diverse teams
• Openness to feedback and a desire to continuously improve
• Organized, proactive, and delivery-focused approach
• Enthusiasm for automation, cloud technologies, and DevOps practices
• Passionate about automation, cloud technologies, DevOps, and AI-driven engineering

Key Skills

Education

Any Graduate