Responsible for supporting a Singapore Government agency's AWS environment, managing lifecycle of AWS platform services, infrastructure-as-code, DevSecOps practices, and operational support in accordance with IM8 and GCC Cloud Security & Governance Framework.
Responsibilities
Design, provision, and configure AWS resources across compute, storage, networking, identity, database, and managed services within the Agency's AWS environment
Develop and maintain Infrastructure-as-Code using Terraform, AWS CloudFormation and/or AWS CDK
Support workload migrations, application onboarding, and environment refreshes across Development, Test, Staging and Production environments
Configure and maintain CI/CD pipelines for infrastructure and application deployment
Implement and maintain AWS networking including VPCs, subnets, route tables, Security Groups, NACLs, VPC endpoints, Transit Gateway and load balancers
Requirements
Bachelor’s degree in Computer Science, Information Technology, or related field
The SA will be the primary driver for identifying, scoping, and creating solutions/proposals that encompass technical approach, estimates, Implementation, team structure, pricing and contracts. A consultative data engineering leader providing expertise on Databricks and cloud data services.
Compensation
The pay range for this position is $125000.00 - $190000.00/yr.
Responsibilities
Collaborate with clients to understand business requirements for Application and data modernization, including AI and generative AI.
Design and architect scalable, secure, and high-performance solutions leveraging different data technologies.
Ensure solutions align with industry best practices, architectural principles, and regulations.
Provide technical leadership and guidance to project teams throughout the solution lifecycle.
Outline solutions including diagrams, team member work estimates, timelines, and costs.
Requirements
technical bachelor's degree (Computer Science, Information Technology/Systems)
Nice to have: AI technologies applied to software development
Build and operate the foundation that enables internal teams to deliver and operate GenAI applications, agents, RAG systems, and related AI workloads reliably, safely, and cost-effectively.
Compensation
Annual salary paid in 12 installments (monthly)
Responsibilities
Architect and build AI platform capabilities for applications, agents, RAG systems and related AI workloads
Architect and build infrastructure that is easy to maintain, update and improve
Architect and build infrastructure with appropriate reliability and recovery capabilities for internal AI platform services
Work together with our Security Engineers to provision secure and governed AI platform infrastructure
Build and maintain deployment automation to ensure fast delivery of AI platform services to our developers
Requirements
Bachelor’s degree and above in a technology related field
Nice to have: other cloud service providers (GCP, Azure)
Nice to have: Kubernetes (CKA, CKAD, CKS)
Nice to have: AWS AI services (Bedrock, Bedrock Knowledge Bases, Bedrock AgentCore, Bedrock Prompt Management)
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).
Mid‑Level DevSecOps Engineer responsible for designing, building, and automating secure solutions for application deployment and operational support across multi‑cloud and hybrid environments.
Locations (2)
Chantilly, Virginia, United States
Vienna, Virginia, United States
Compensation
$120,336—$180,504 USD
Responsibilities
Build and maintain CI/CD pipelines for application deployment and continuous delivery
Implement security practices throughout the software development lifecycle
Provision and configure infrastructure using IaC tools (Terraform, CloudFormation) in cloud environments
Configure and maintain monitoring and alerting systems (CloudWatch, Splunk, Grafana) for production environments
Automate development, testing, and release activities
Site Reliability Engineer responsible for developing, delivering, and operating next-generation communication products through CI/CD pipelines, infrastructure as code, and architectural excellence.
Responsibilities
Analyze, design and implement continuous integration/continuous delivery pipelines.
Design infrastructure-as-code standard processes and toolkit.
Support architectural decisions on all product implementations.
Drive architectural excellence, improving observability and monitoring.
Identify improvement areas and recommend design changes for maintaining operational excellence.
Requirements
Nice to have: Linux network stack (routing & firewall)
Nice to have: software defined switching/networking
Highly motivated Data Engineer with 3–4 years of hands‑on experience in AWS Databricks to join our data platform team.
Responsibilities
Design, develop, test, and deploy scalable ETL/ELT pipelines using AWS Databricks, PySpark, and SQL.
Build and maintain robust data pipelines for ingesting and processing structured and unstructured data from multiple sources such as Amazon S3, Amazon RDS, APIs, and external platforms.
Implement and manage Delta Lake solutions to support both batch and streaming data processing.
Optimize Spark workloads for performance, scalability, and cost efficiency.
Ensure data quality, consistency, reliability, and integrity through validations, monitoring, exception handling, and reconciliation checks.
Requirements
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.
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