[Remote] Platform Engineer
Note: The job is a remote job and is open to candidates in USA. System One delivers outsourced services and workforce solutions across North America. The Platform Engineer will implement and maintain secure DevSecOps practices, cloud infrastructure, CI/CD pipelines, and Infrastructure as Code while supporting AWS-based application delivery. The role also focuses on observability, secure environment management, troubleshooting, compliance alignment, and collaboration with engineering, security, architecture, and federal stakeholders.
Responsibilities
- Implement and maintain modern DevSecOps practices, including secure CI/CD pipelines, automated build and deployment workflows, quality gates, vulnerability scanning, secrets management, policy enforcement, and release automation
- Develop, maintain, and improve Infrastructure as Code using tools such as Terraform, AWS CloudFormation, AWS CDK, or comparable technologies to support repeatable, auditable, and compliant environment provisioning
- Support cloud-native application delivery patterns using AWS services, container platforms, serverless services, managed databases, networking, identity and access management, logging, monitoring, and security services
- Partner with software engineering teams to standardize reusable pipeline templates, deployment patterns, environment configurations, shared libraries, and automation scripts that improve delivery speed, consistency, and reliability
- Embed security early and continuously across the software delivery lifecycle through automated static analysis, dependency scanning, container/image scanning, infrastructure scanning, configuration validation, and compliance evidence generation
- Implement and support observability practices, including centralized logging, metrics, dashboards, alerts, tracing, operational health checks, and production readiness monitoring across modernized and legacy-integrated capabilities
- Support secure environment management, including configuration management, access control, network segmentation, encryption, secrets handling, backup considerations, disaster recovery support, and change/release coordination
- Collaborate with solution architects, security teams, vendors, and Federal stakeholders to ensure platform capabilities align with enterprise architecture guidance, FedRAMP Moderate expectations, NIST controls, governance standards, and program security requirements
- Troubleshoot platform, pipeline, deployment, integration, performance, and operational issues; identify root causes; implement automation or process improvements; and support continuous improvement of the engineering platform
Skills
- US Citizenship and the ability to obtain Public Trust is required
- Bachelor's degree required
- Minimum of FIVE (5) years of experience in platform engineering, DevSecOps, cloud engineering, infrastructure automation, site reliability engineering, systems engineering, or related technical roles
- Hands-on experience with AWS services including ECS/EKS, Lambda, API Gateway, EventBridge, S3, RDS, DynamoDB, CloudWatch, IAM, and Systems Manager
- Experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, Azure DevOps, or similar tools
- Experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar automation frameworks
- Experience implementing and supporting DevSecOps practices, including automated testing, vulnerability scanning, secrets management, and secure software delivery
- Experience integrating security controls into pipelines, including static code analysis, dependency scanning, container/image scanning, infrastructure scanning, secrets detection, artifact management, and security quality gates
- Experience with AWS identity, access management, networking, logging, monitoring, encryption, secrets management, and security services, including practical application of least privilege and secure-by-default patterns
- Strong experience with containerization technologies including Docker and container orchestration platforms such as ECS, EKS, or Kubernetes
- Experience managing application deployments, environment configuration, release automation, and production support activities
- Experience implementing platform observability through monitoring, logging, alerting, tracing, and operational dashboards using tools such as CloudWatch, ELK, Grafana, Prometheus, Datadog, or similar
- Experience supporting highly available, scalable, and resilient cloud environments, including disaster recovery and operational readiness activities
- Experience with Linux administration, shell scripting, and automation using Python, Bash, or similar scripting languages
- Experience troubleshooting infrastructure, networking, application, and deployment issues across distributed cloud environments
- Familiarity with networking concepts including VPCs, load balancers, DNS, security groups, WAF, VPNs, and private connectivity patterns
- Ability to create reusable platform patterns, pipeline templates, runbooks, automation scripts, environment standards, and technical documentation for engineering teams
- Experience troubleshooting cloud infrastructure, pipelines, deployments, environment configuration, performance, availability, access, and integration issues across complex technical environments
- Strong understanding of the Software Development Life Cycle (SDLC), agile delivery, release management, change management, operational readiness, and continuous improvement practices
- Ability to collaborate effectively with software engineers, architects, security teams, vendors, operations teams, Product Owners, Scrum Masters, and Federal stakeholders
- Strong analytical, troubleshooting, and problem-solving skills with a focus on automation, operational excellence, and continuous improvement
- Exceptional communication skills, with the ability to explain technical concepts, platform standards, operational issues, and risk trade-offs clearly to technical and non-technical audiences
- Experience supporting federal or government IT programs involving cloud modernization, DevSecOps implementation, platform engineering, security compliance, shared services, or phased capability delivery
- Experience supporting federal cloud environments, FedRAMP, FISMA, NIST 800-53, or similar compliance frameworks
- Experience with AWS services such as IAM, VPC, EC2, S3, RDS/Aurora, Lambda, ECS/Fargate, EKS, CloudWatch, CloudTrail, Config, Systems Manager, Secrets Manager, KMS, GuardDuty, Inspector, Security Hub, CodePipeline, CodeBuild, CodeDeploy, ECR, or comparable services
- Experience with Keycloak, OAuth/OIDC, SSO, and enterprise identity platforms
- Experience with artifact repositories, dependency management, container registries, software supply chain security, SBOM generation, signing, provenance, or secure release promotion practices
- Experience with observability and reliability engineering practices, including service-level indicators, service-level objectives, incident response, runbooks, automated recovery, and production readiness reviews
- Experience supporting multi-vendor delivery within a common platform architecture, including alignment to shared DevSecOps standards, environment management, release readiness, security expectations, and technical governance forums
- Cloud, DevSecOps, security, or agile certifications preferred, such as AWS Certified DevOps Engineer – Professional, AWS Certified Solutions Architect, AWS Certified Security – Specialty, Certified Kubernetes Administrator, Certified Kubernetes Security Specialist, Terraform Associate, Security+, SAFe, Certified ScrumMaster, or similar credentials
- Experience using generative AI and AI-assisted development tools to accelerate the software development lifecycle, including requirements analysis, solution design, code generation and modernization, automated testing, documentation, code review, troubleshooting, and release readiness, while applying appropriate security, privacy, governance, and human-review controls
- Experience prototyping or integrating generative AI capabilities using AWS Bedrock or comparable enterprise AI platforms
- Understanding of privacy, security, data-use restrictions, and responsible AI considerations in federal or regulated environments
- Experience with AI evaluation, prompt and model versioning, guardrails, monitoring, human-in-the-loop review, and mitigation of hallucination or unsafe output risks
Benefits
- 100% remote
- W2 only, no C2C
- Eligible employees have health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, and voluntary plans.
- Eligible employees may participate in a 401(k) plan.
Company Overview