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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager-Developer Operations & Cloud Operations - **Company:** Berry Appleman & Leiden - **Location:** Richardson, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Microsoft Azure, Cloud Computing, Continuous Integration, DevOps, Domain Name System (DNS), Github, Identity and Access Management, Routing, Release Management, Salesforce.Com, Software Engineering, Data Streaming, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, State Machines, Multi-Cloud, Firewalls (Computer Science), AI Coding Agents, Amazon Virtual Private Cloud (VPC), Agentic-AI, Git Flow, Kubernetes, Amazon Bedrock, Apache Kafka, Cloudwatch, Terraform, Confluent, Microservices - **Published:** October 1, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=003bcd1f858148f7 ## About the Role * 10+ years in infrastructure, cloud, or DevOps engineering, with 4+ years managing technical teams. * Deep hands-on expertise with AWS services and multi-account architecture. * Production experience with Kubernetes (EKS preferred) and container-based microservices. * Experience with Kafka or comparable event-streaming platforms. * Strong cloud networking background (VPC design, routing, private connectivity, firewalls, hybrid connectivity). * Proficiency with Terraform/Terragrunt, GitHub, CI/CD, and GitOps workflows. * Hands-on experience building or deploying AI agents or LLM-based solutions. * Experience working in regulated or compliance-sensitive environments. * Excellent communication skills, with the ability to present to executive audiences. Preferred Qualifications * Salesforce platform experience, including Salesforce DevOps and release management with Gearset. * Experience with workflow engines such as Temporal and Flowable. * Familiarity with Formstack or similar form and document automation platforms. * Multi-cloud experience across Azure and/or GCP. * AWS certifications (Solutions Architect Professional, DevOps Engineer Professional, or Security Specialty) and/or CKA/CKAD. * Experience in legal, professional services, or financial services. Note: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required and are not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with this job. ## Description BAL is looking for a technical leader to own the firm's cloud infrastructure, platform engineering, DevOps, and AI initiatives. This role leads a team of engineers and sets the direction for how BAL builds, deploys, secures, and operates its applications on AWS. Because BAL is a global immigration law firm, you'll be expected to balance speed of delivery with strong security, compliance, and governance practices., Leadership and Strategy * Lead, mentor, and grow a team of cloud, DevOps, and platform engineers, including hiring, performance management, and career development. * Own the cloud and platform roadmap and communicate progress, risks, and trade-offs to the senior leadership. * Partner with application development, security, data, and business teams to align infrastructure with firm priorities. * Manage vendor relationships, tooling budgets, and third-party integration reviews. Cloud Infrastructure and Networking * Architect and operate a secure, multi-account AWS environment (EKS, EC2, RDS, Lambda, Step Functions, S3, IAM, CloudWatch, Bedrock). * Design and manage cloud networking, including hub-and-spoke topologies, Transit Gateway, VPC design, private connectivity, DNS, firewalls, and hybrid/multi-cloud links (Azure, GCP). * Enforce Infrastructure as Code (Terraform/Terragrunt) and GitOps practices across all environments. * Drive reliability, observability, cost optimization, and incident response. Platform Engineering and Microservices * Run production Kubernetes (Amazon EKS) platforms that support microservices-based applications. * Operate event-driven and streaming platforms built on Apache Kafka (Amazon MSK or Confluent). * Support workflow and orchestration platforms, including Temporal and Flowable. * Build internal developer platforms, CI/CD pipelines, and self-service tooling that improve developer experience. AI and Agentic Systems * Lead the design and rollout of AI agents and LLM-powered applications (Amazon Bedrock, RAG, knowledge bases, multi-agent orchestration). * Set guardrails for AI use, including data redaction, access entitlements, auditability, and responsible AI governance. * Evaluate and pilot emerging AI tools for engineering productivity, such as AI coding assistants. Enterprise Application Platforms * Support DevOps for Salesforce, including GitOps-based release management using Gearset. * Integrate and support business platforms such as Formstack, Flowable, and Salesforce with AWS-hosted services.