AWS Platform Engineer – Terraform | Kubernetes | AI/ML Cloud Services
At a glance
Mid-level AI Engineering role at Synechron. Bengaluru · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and update AWS environments, reusable infrastructure modules, and migration paths for workloads
- Automate releases through CI/CD pipelines, container platforms, monitoring, and deployment workflows
- Track platform performance, security, availability, and cost, then address reliability issues
- Connect AWS AI services and APIs while maintaining security, audit, and operational safeguards
- Resolve incidents and document runbooks, designs, and operating procedures
What you bring
- At least eight years in AWS cloud, platform engineering, DevOps, infrastructure, or a related field
- A current AWS Associate certification or a higher-level AWS credential
- Hands-on experience designing, moving, and operating AWS workloads, including IaC, CI/CD, containers, and monitoring
- Experience with cloud security, automation, and enabling AI services on cloud platforms
Who this fits
This mid-level role suits an experienced AWS platform engineer who works across infrastructure, security, AI enablement, and operations. The position is based in Bengaluru, India, and requires an AWS Associate-level certification or higher.
From the employer
Job Summary
Synechron is seeking a AWS Platform Engineer with 8+ years of experience in AWS cloud engineering, infrastructure automation, DevOps, and AI platform enablement. The role will design, migrate, secure, and operate scalable AWS platforms.
Software Requirements
Required
- AWS core services: EC2, Lambda, S3, EBS, VPC, Route 53, RDS/Aurora, DynamoDB, IAM, and CloudWatch
- Terraform, CloudFormation, or AWS CDK
- Python or another modern programming language
- Docker and Kubernetes, ECS, Fargate, or EKS
- Git and CI/CD tools such as TeamCity or GitHub Actions
- AWS AI services, including Bedrock, SageMaker, Textract, and Amazon Q
- Current AWS Associate-level or higher certification
Preferred
- MCP and AI agentic workflows
- Advanced AWS certification
- Policy-as-code and automated compliance
- GitOps and cloud cost-optimization tools
Overall Responsibilities
- Design, build, and migrate workloads to AWS.
- Develop secure and reusable infrastructure using IaC.
- Manage AWS environments, upgrades, provisioning, performance, stability, security, and lifecycle activities.
- Implement CI/CD, containerization, monitoring, and automation.
- Enable AI platforms and APIs with security, audit, and operational guardrails.
- Apply AWS Well-Architected principles.
- Collaborate with application, architecture, security, data, and operations teams.
- Troubleshoot incidents and improve platform reliability and cost efficiency.
Technical Skills
- Cloud: AWS compute, storage, networking, databases, IAM, monitoring, and cost management.
- Infrastructure: Terraform, CloudFormation, AWS CDK, Docker, Kubernetes, ECS, Fargate, or EKS.
- Programming: Python or equivalent scripting language.
- DevOps: Git, CI/CD, automated testing, deployment, monitoring, and rollback.
- AI/ML: Bedrock, SageMaker, Textract, Amazon Q, APIs, MCP, and AI guardrails.
- Security: IAM, least privilege, encryption, secrets management, secure APIs, logging, and audit controls.
Experience Requirements
- 8+ years of experience in AWS cloud, platform engineering, DevOps, infrastructure, or related roles.
- Practical experience designing, migrating, and operating AWS workloads.
- Experience with IaC, CI/CD, containers, monitoring, cloud security, and automation.
- Experience enabling AI capabilities on cloud platforms.
- Enterprise-scale or regulated-environment experience is preferred.
Day-to-Day Activities
- Build and maintain AWS infrastructure and IaC modules.
- Develop CI/CD pipelines and automate deployments.
- Monitor platform performance, security, availability, and cost.
- Support cloud services, databases, networking, and container platforms.
- Integrate AI services and maintain platform guardrails.
- Resolve incidents and document runbooks, designs, and procedures.
- Participate in architecture reviews, planning meetings, and operational discussions.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
- Equivalent relevant experience may be considered.
- Current AWS Associate-level or higher certification is required.
- AWS Professional/Specialty, Kubernetes, DevOps, or AI certifications are preferred.
- Commitment to continuous learning in AWS, AI, security, and platform engineering.
Professional Competencies
- Strong analytical and problem-solving skills.
- Effective communication and cross-functional collaboration.
- Ability to manage priorities, risks, and technical dependencies.
- Adaptability to changing cloud and AI technologies.
- Focus on automation, security, reliability, and continuous improvement.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.