DevEx Platform Engineer

In-Office Requirement: 4 days per week

Responsibilities

• Operate and monitor AI-enabled developer platforms in production: define SLOs and SLIs, build dashboards and alerting, and ensure the reliability, performance, and availability of the services engineering teams depend on every day.
• Drive troubleshooting and remediation of production issues when platform services degrade, and run blameless postmortems that turn incidents into lasting reliability improvements.
• Automate operational tasks to reduce toil, and continuously tune capacity, cost, and performance as platform adoption grows.
• Design, build, and operate AI-enabled developer platforms serving a development community of over 500 engineers across the technology organization.
• Build and maintain agentic frameworks, skills and tool registries, MCP gateways, and the supporting infrastructure that allows engineering teams to safely and effectively use AI across the software delivery lifecycle.
• Develop self-service cloud development environments and internal developer portal capabilities (using platforms such as Coder) that let application teams provision, configure, and operate their environments with minimal central involvement.
• Prototype and evaluate new AI development tools, agent runtimes, and orchestration patterns, and incorporate the most useful capabilities into the platform.
• Partner directly with engineering teams across the firm to drive adoption of AI-enabled development practices and translate user feedback into platform improvements.
• Collaborate with security, networking, cloud operations, and architecture teams to ensure platform capabilities are secure, compliant, and well-integrated with existing infrastructure, and contribute to internal documentation and reference implementations that help engineers get the most out of AI-driven development.

Requirements

Education & Certificates

• Bachelor s Degree required
• Concentration in Computer Science, Software Engineering, Information Technology, or similar discipline, strongly preferred
• AWS Certified Solutions Architect, AWS Certified Developer, or similar cloud certifications preferred
• Industry-standard certifications in platform engineering, Kubernetes, or AI/ML preferred

Professional Experience

• 5+ years of relevant software or platform engineering experience, required.
• Hands-on experience integrating AI platforms and tooling into enterprise engineering workflows, including agent runtimes, AI coding assistants, MCP-based integrations, and the supporting infrastructure required to operate them safely at scale.
• Practical experience implementing and managing AI development tools such as:
  Claude Code, Cursor, MCP servers, Coder..
• Hands-on experience operating production services using SRE practices, including defining and measuring SLOs/SLIs, managing error budgets, and reducing operational toil through automation.
• Proficiency with observability and monitoring tooling (such as ELK, Datadog, Open Telemetry, or Cloud Watch) to instrument, alert on, and troubleshoot distributed systems.
• Experience troubleshooting and remediating production issues, including triage, mitigation, and blameless postmortems.
• Strong hands-on experience with AWS, including the services that underpin modern developer platforms (EKS, ECS, Lambda, API Gateway, IAM, VPC, S3, and similar).
• Strong proficiency with Git Hub Enterprise, including Git Hub Actions, reusable workflows, and platform-level patterns such as Issue Ops and workflow orchestration.
• Strong proficiency with infrastructure as code (Terraform) and modern CI/CD practices for both application and platform delivery.
• Strong proficiency in at least one general-purpose programming language (Python, Type Script, Go, or similar) and comfort writing production code.
• Strong understanding of cloud security principles, identity and access management, and secure-by-default platform patterns.
• Commitment to ongoing learning as AI and developer tooling continue to evolve.

Competencies & Attributes

• Strong problem-solving skills, with a track record of troubleshooting distributed systems and developer tooling issues.
• Strong interpersonal and communication skills, with the ability to explain complex topics and present to both technical and non-technical audiences.
• Proven collaboration skills across multiple technology and project teams to deliver effective solutions.
• Ability to communicate clearly in presentations and written documentation.
• Ability to prioritize and deliver across competing demands.

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.

Dexian connects the right talent and the right technology with the right…