Top Hybrid DevOps & Platform Engineering Jobs

Build and operate reliable cloud infrastructure, developer platforms, CI/CD systems, observability, and production workloads. Support applications, data systems, ML pipelines, and AI workloads across development, staging, and production. Establish SLOs, monitoring, incident response, automation, infrastructure-as-code practices, and operational standards. Collaborate with Product Engineering, Data Engineering, Data Science, and Security while mentoring engineers and participating in support rotations.

Lead large-scale cloud, data, and GenAI-driven transformation programs for High-Tech clients. Build senior client relationships, design cloud-native architectures (AWS/Azure/GCP), drive delivery excellence across onshore-offshore teams, and grow accounts by creating reusable solution accelerators and go-to-market strategies.

Leads the architecture, design, deployment, and operation of enterprise middleware messaging and streaming integrations. Designs multi-region, multi-datacenter platforms with geo-replication, failover, high availability, fault tolerance, and low-latency performance. Evaluates messaging technologies, establishes deployment and monitoring standards, automates infrastructure, collaborates with stakeholders, and mentors junior engineers. The role requires extensive experience with Kafka, RabbitMQ, cloud messaging services, Kubernetes, Docker, clustered environments, and resilient high-volume systems.

Maintain and improve AWS production infrastructure, infrastructure-as-code, CI/CD pipelines, monitoring, observability, and security controls. Participate in on-call support, troubleshoot incidents, track SLOs and cloud costs, write post-incident reports and runbooks, and collaborate with engineering teams on reliable feature delivery. Support SOC 2 compliance, access controls, encryption, audit logging, vulnerability management, and AI workloads on Amazon Bedrock.

Develop and automate infrastructure systems that build, test, deploy, and monitor development and production environments. Design secure internal infrastructure services using Terraform, GitHub Actions, Python, and Bash. Troubleshoot infrastructure issues, manage containerized web services, support Linux systems administration, and implement robust deployment automation and continuous integration solutions.

Lead the technical vision and execution of Klaviyo’s organization-wide CI/CD platform. Responsibilities include architecting deployment and rollback pipelines, setting engineering and repository standards, building scalable developer tooling, integrating AI into testing and software delivery, advising engineering teams, conducting root-cause analysis, and ensuring platform reliability. The role requires hands-on technical leadership across backend and frontend systems, infrastructure automation, testing, and high-frequency deployments.

Own the durability, recoverability, performance, and security of a production PostgreSQL/RDS fleet supporting a live trading platform. Lead replication, failover, backup and restore, disaster-recovery drills, data lifecycle management, access control, encryption, and database observability. Investigate engine-level performance issues including WAL contention, replica lag, bloat, and locking. Build infrastructure and AI-assisted operational tooling while documenting runbooks and reliability decisions.

Design, build, secure, and scale edge infrastructure, cloud networks, traffic management, and streaming platform services. Manage Cloudflare, AWS, CDN, DNS, load balancing, infrastructure as code, GitOps, and CI/CD systems. Troubleshoot global delivery, connectivity, latency, and routing issues while improving reliability and operational practices. Lead infrastructure projects, guide engineers, share knowledge, participate in on-call rotations, and collaborate with international teams.

Lead enterprise platform strategy and architecture for cloud, data, and AI platforms (Fabric, Databricks, Synapse, OpenAI/Foundry). Own platform lifecycle, establish standards and guardrails, drive modernization and cost optimization, influence governance, mentor senior engineers, and partner with executives to translate strategy into platform capabilities.

Build and operate secure, reliable, scalable platform infrastructure across AWS, PostgreSQL, ECS, CI/CD, and observability systems. Lead security and reliability initiatives, incident response, engineering tooling, and non-functional standards. Develop AI platform capabilities, including LLM development tools, guardrails, and infrastructure for AI-powered product features. Collaborate cross-functionally to understand organizational needs and improve developer productivity.