Integration Devops Engineer

Sr. Integration / DevOps Engineer

Dallas TX (Onsite)

12+ Month

Integration / DevOps Engineer who can build the infrastructure, deployment pipelines, and integration fabric that enterprise AI and data systems run on. You will own CI/CD, cloud infrastructure, API integration, and observability across client engagements - ensuring that what the engineering team builds is reliably deployed, monitored, and connected to the enterprise ecosystem.

What You'll Do

• Design and manage CI/CD pipelines for data, AI, and application services - using GitHub Actions, Jenkins, or equivalent tooling.
• Build and maintain cloud infrastructure (AWS, Azure, or GCP) using Infrastructure-as-Code (Terraform, CloudFormation, or Bicep).
• Containerise and orchestrate application workloads: Docker, ECS, EKS, or equivalent Kubernetes-based deployments.
• Develop and maintain API integrations between AI services, data platforms, and enterprise systems (REST, event-driven, MCP tool servers).
• Implement observability stacks - logging, metrics, tracing, and alerting - for production data and AI services.
• Manage environment configuration, secrets management, and security controls appropriate to regulated environments.
• Collaborate with AI Engineers, Data Engineers, and Full Stack Engineers to support deployment and integration needs across workstreams.
• Troubleshoot production infrastructure and integration issues and drive root-cause resolution.

What We Work On

• Deployment pipelines for agentic AI applications and data platform services in regulated financial services environments.
• Cloud infrastructure and security configuration for Snowflake, AWS Bedrock, and LLM-serving infrastructure.
• API integration layers connecting enterprise systems (CRM, ERP, data warehouses) to AI agent tool ecosystems.

Minimum Qualifications

• 3+ years of DevOps, platform engineering, or integration engineering experience with production cloud systems.
• Hands-on experience with CI/CD tooling (GitHub Actions, Jenkins, GitLab CI, or equivalent).
• Strong cloud skills on at least one major platform (AWS, Azure, or GCP) - compute, networking, storage, IAM.
• Experience with containerisation (Docker) and orchestration (ECS, EKS, or Kubernetes).
• Proficiency with Infrastructure-as-Code (Terraform preferred) and environment management.
• Solid understanding of API integration patterns (REST, webhooks, event-driven) and networking fundamentals.
• Working knowledge of Python - for scripting automation, writing pipeline glue code, and integrating with data and AI services via SDKs and REST APIs.

Preferred Qualifications

• Experience with API gateway and service mesh tooling (AWS API Gateway, Kong, Istio).
• Familiarity with ML/LLM serving infrastructure and managed AI services (AWS Bedrock, Azure OpenAI endpoints).
• Observability tooling experience: OpenTelemetry, Datadog, Grafana, or equivalent.
• Knowledge of enterprise security standards: SOC 2, ISO 27001, data residency requirements.
• Relevant certifications: AWS DevOps Professional, GCP Professional DevOps Engineer, or equivalent.
• Prior experience in financial services or regulated cloud environments.

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