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, OpenTelemetry, or CloudWatch) 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 GitHub Enterprise, including GitHub Actions, reusable workflows, and platform-level patterns such as IssueOps 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, TypeScript, 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 organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit .

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.