Top Tech Jobs & Startup Jobs

Develop and maintain enterprise AEM solutions across Sites, Assets, and Cloud Service. Build Java and front-end components, templates, workflows, integrations, GraphQL APIs, and headless experiences. Configure DAM, Dispatcher, personalization, performance optimization, and CI/CD pipelines. Troubleshoot production issues across AEM tiers, collaborate with authors and stakeholders, participate in code reviews, and document technical decisions.

Designs, develops, deploys, monitors, and supports enterprise integrations using Dell Boomi AtomSphere. Responsibilities include working with Boomi processes, connectors, runtimes, APIs, security standards, event-driven patterns, SaaS platforms, and CI/CD tooling. The role partners with application teams and enterprise stakeholders, troubleshoots production issues, documents solutions, conducts design and code reviews, and mentors junior engineers.

Designs, develops, deploys, monitors, and supports enterprise integrations using Dell Boomi AtomSphere. Partners with application teams, architects, integration providers, and business stakeholders to translate requirements into scalable solutions. Responsibilities include API management, event-driven integrations, security implementation, SaaS platform connectivity, CI/CD, troubleshooting, documentation, code and design reviews, and mentoring junior engineers.

Owns the architecture, deployment, security, automation, observability, and operation of large-scale Apache Kafka and Confluent environments. Responsibilities include cluster sizing, Kafka security, disaster recovery, infrastructure-as-code, troubleshooting, developer enablement, and collaboration with application teams. The role also involves code and design reviews, production reliability improvements, documentation, and mentoring junior engineers.

Design, build, and operate highly reliable model-serving platforms for LLM, vision, and recommendation workloads. Responsibilities include inference optimization, GPU and memory utilization, routing, autoscaling, caching, observability, deployment automation, incident response, security controls, and reliability improvements. The role requires production experience with distributed systems, high-throughput services, ML inference frameworks, Kubernetes, cloud platforms, and performance engineering.

Operate and engineer enterprise PLM platforms using PTC Windchill or Siemens Teamcenter. Responsibilities include installation, configuration, upgrades, migrations, performance tuning, database and middleware administration, HA/DR, security, automation, monitoring, integrations, documentation, incident response, and mentoring engineers. The role supports reliable PLM environments across development, test, and production and may involve cloud platforms, infrastructure as code, CI/CD, and CAD integrations.

Design, integrate, and maintain software for autonomous robots across perception, localization, mapping, motion planning, control, behavioral systems, and sensor fusion. Develop C++ and Python software using ROS/ROS 2, integrate sensors and embedded hardware, build simulation environments, implement safety-critical patterns, and conduct field testing. Collaborate with cross-functional engineering teams, document systems, evaluate robotics technologies, and mentor junior engineers.

Leads end-to-end quality engineering and testing for software products, including strategy, test planning, automation frameworks, CI/CD integration, execution oversight, defect management, and release readiness. Coordinates SIT and UAT across distributed teams, tracks quality metrics, manages risks, and communicates blockers to stakeholders. The role requires hands-on testing during deployments and champions shift-left, continuous testing, and AI-assisted testing practices.

Designs, deploys, and operates secure, scalable AWS platforms and enterprise cloud environments. Responsibilities include infrastructure as code, multi-account governance, networking, IAM, containers, managed data services, CI/CD, observability, cost optimization, disaster recovery, security remediation, automation, and incident response. Partners with application, security, and SRE teams, advises on cloud-native architecture, leads design reviews, and mentors engineers.

Designs and optimizes CUDA kernels, GPU libraries, and distributed multi-GPU workloads for AI and high-performance computing. Responsibilities include profiling with Nsight tools, tuning memory and execution performance, integrating custom operators into ML frameworks, developing benchmarks, evaluating GPU architectures, and contributing to compiler-level optimizations. The role also involves cross-functional collaboration, technical documentation, code and design reviews, and mentoring engineers.