AWS Cloud Engineer

Job Title: AWS Cloud Engineer

Work Location & Reporting Address Houston, TX 77002 Report to office on Day 1

Contract duration: 12+ Months

Interview Process (Is face to face required?) Yes

Knowledge, Skills and Abilities:

Technically advanced knowledge or in-depth skills in one or more of the following is required:

• Cloud Technologies: AWS Services such as Lambda, IAM, S3, EFS, SQS, SNS, API Gateway, CLI, Kinesis, Glue, Elasticache (Redis), CloudWatch, CloudFormation, EC2
• Experience working with Databases: Oracle, SQL, Server, PostgreSQL and NoSQL databases such as Cassandra and Dynamo DB
• Experience with Big Data Technologies like Spark, Glue
• Containers : Docker/Kubernetes/ECS
• Integrations : REST, API , Synch, Asynch , Realtime, Batch
• Network : VPC, Subnet, SG, IP ( CIDR )
• Security : WAF, Encryption , Access Control, Identity , SSO, MFA
• Performance/reliability: Auto-scale, ASG, ALB, NLB
• Storage/Datawarehouese : EFS, S3, Snowflake, SQL
• Proficiency in Python
• Good to Have- Shell (Unix) /Batch Script
• Angular, Node JS
• Knowledge of Service Oriented, Microservices and Event-driven design patterns
• Knowledge of Machine Learning foundations : Performance /Accuracy Metrics, Hyper-parameters, Training, Feedback, Inference
• Experience working on complex cloud-based software projects, web application development, security and open-source technologies
• Knowledge of enterprise coding standards
• Ability to perform code reviews
• Knowledge of software methodologies and agile development methodologies
• Observability CloudWatch/CloudTrail, Event Bridge, Data Dog or any industry standard tools
• Ensure reusability using framework, Domain Driven Approach, Modular Coding, Analytical, Data Driven Approach
• Ability to estimate effort.
• Be able to translate Business needs into technology goals
• Be able to troubleshoot issues using services/resources/platforms/logs
• Strategic thinker, innovative, responsible, confident, clear in thoughts, collaborative and has good communication skills
• Understanding of MLOps.
• Good understanding of Enterprise DevOps practice

Minimum years of experience: 10 years