Design and implement distributed, event-driven data architectures on AWS, drive automation, and support enterprise architecture for Infosys Data and Analytics unit.
Locations (3)
Somerset, New Jersey, United States
South Brunswick, New Jersey, United States
Reston, Virginia, United States
Compensation
The estimated annual compensation for this role Somerset, NJ- $96021 to $124827 South Brunwick, NJ - $96021 to $124827 Reston, VA- $104637 To $136028
Responsibilities
Participate in customer discussions to gather and analyze system requirements for performance, security and scalability
Provide suggestions on solution architecture, contribute to tech framework development, support enterprise architecture definition, and drive design creation
Identify suitable technologies and tools available in the market, and perform a comparative analysis in line with client's business requirement, thereby identifying optimal architectural solution options
Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions
Facilitate a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy
Design and deliver AWS-based integration architectures for Vantive’s clinical, operational, and commercial systems.
Compensation
The estimated base salary for this position is $124,000 to $170,000 annually. The estimated range is meant to reflect an anticipated salary range for the position. This position may also be eligible for discretionary bonuses.
Responsibilities
Design and implement AWS-based architectures for integration workloads connecting clinical, supply chain, and enterprise systems
Develop integration patterns including API design, event-driven messaging, and data synchronization across Vantive's application landscape
Contribute to architectural standards, design patterns, and technical documentation
Collaborate with senior architects to translate business and clinical requirements into technical solutions
Evaluate and recommend appropriate AWS services for specific use cases
Requirements
Bachelor’s degree in computer science, Engineering, or related field (or equivalent practical experience)
Lead design and implementation of scalable, cloud-native data engineering solutions on AWS, managing end-to-end data pipelines, data warehouses, and analytics platforms.
Responsibilities
Design, develop, and operationalize reusable, scalable, and modular data and analytics platforms aligned with Alcon’s enterprise architecture
Lead the design and implementation of end-to-end cloud-native data solutions on AWS
Develop and maintain robust, scalable, and high-performance ETL/ELT data pipelines using AWS services
Design and optimize data warehouse solutions using Amazon Redshift
Partner with data architects to define technical architectures and data integration patterns
Requirements
Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical discipline
Peraton is seeking an experienced and proactive Cloud DevOps Engineer to join our dynamic team. This fully remote position involves managing and optimizing AWS cloud infrastructure through tasks such as incident management, ticket resolution, automation of operational tasks using scripting languages, and configuration management using tools like CloudFormation, Terraform, and Ansible.
Compensation
$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Participate in root cause analysis of system incidents.
Respond to and resolve tickets in the operations support queue in a timely and efficient manner, ensuring issues are tracked, documented, and closed according to SLAs.
Use tools such as AWS CloudFormation, GitLab and GitLab Runners to respond to support requests to manage and maintain AWS infrastructure, including EC2, RDS, S3, ELB, VPC, IAM Roles and Policies, Security Groups and related services.
Automate routine operational tasks to improve system reliability, security monitoring and configuration management using AWS step functions, lambda functions, SSM documents, AWS EventBridge, SNS, SQS using scripting languages such as python, bash and powershell.
Implement configuration management solutions (e.g., Ansible, Chef, or AWS Systems Manager).
Backend Lead responsible for designing and building cloud-native, event-driven data and analytics services on AWS, with a focus on serverless application development, ETL pipelines, and enabling self-service analytics and reporting in Amazon QuickSight.
Responsibilities
Design and develop backend services and data APIs and other serverless components to support analytics and application workloads.
Build and operate event-driven architectures that integrate S3, EventBridge, SNS/SQS, Lambda, Step Functions, and AWS Glue for near real-time and batch ETL workloads powering QuickSight dashboards and authoring.
Implement robust ETL and data integration pipelines using AWS Glue (jobs, workflows, crawlers) to load, transform, and curate data in Amazon Redshift and the broader data warehouse environment.
Model, optimize, and manage data structures (star/snowflake schemas, partitioning, distribution/sort keys) in Amazon Redshift and related data stores for performant SQL and BI queries.
Enable and support Amazon QuickSight reporting and authoring, including data preparation, semantic modeling, row-level security, and performance tuning for dashboards and analyses.