Top Tech Jobs & Startup Jobs

Own design, deployment, and operation of large-scale Kafka/Confluent platforms across on‑prem and cloud. Implement security, HA/DR, observability, CI/CD/GitOps, connector pipelines, and developer enablement. Lead incident response, mentor engineers, maintain documentation, and evaluate emerging streaming technologies.

Owner of PeopleSoft platform architecture and operations: install, configure, upgrade, patch, and operate PeopleSoft environments. Manage WebLogic/Tuxedo/process schedulers, search (Elasticsearch/OpenSearch), Oracle DB connectivity, HA/DR, automation (shell/Python/Ansible), cloud integrations, monitoring, runbooks, and mentor junior engineers.

Design, execute, and support end-to-end SAP S/4HANA data migrations using LTMC, SLT, and LVM. Perform extraction, transformation, cleansing, validation, reconciliation, and cutover activities. Optimize large-volume loads, manage replication/configuration, support mock migrations and cutovers, and maintain technical documentation and runbooks while collaborating with functional teams and ensuring data governance and compliance.

Design, train, and deploy reinforcement learning systems for sequential decision problems. Build and maintain simulation environments and distributed training infrastructure, implement modern RL algorithms (on-policy, off-policy, offline), engineer reward functions and safety constraints, apply RLHF/DPO for LLMs, evaluate robustness, monitor production policies, and collaborate with product teams to operationalize RL solutions.

Design, deploy, and operate enterprise OCI landing zones and networking; implement IaC with Terraform; manage compute, storage, containers (OKE), and databases; build CI/CD pipelines; implement observability and security controls; optimize costs; design DR/BC solutions; automate with Python/Bash; mentor junior engineers.

Design, build, and operate end-to-end integration scenarios in SAP Integration Suite/CPI connecting S/4HANA and third-party systems. Develop iFlows, Groovy/Java scripts, configure adapters, implement secure auth (OAuth2/mTLS), handle error/retry/monitoring, migrate PI/PO interfaces, manage API Management, tune high-volume integrations, document designs, and provide post-go-live support and knowledge transfer.

Design, build, and maintain scalable Java (11/17) microservices with Spring Boot and responsive front-end apps using React (or Angular/Vue). Implement REST APIs, event integrations, CI/CD, automated tests, cloud deployments, performance tuning, and observability. Collaborate in Agile teams on architecture, documentation, and remediation of technical debt while participating in coding assessments and maintaining production-grade quality and security.

Design, prototype, and deploy applied AI solutions across NLP, vision, recommendation, and structured data. Build production-quality training and inference pipelines, implement rigorous experimentation and evaluation, optimize models for accuracy and latency, and ensure observability, safety, and fairness. Mentor engineers and influence the AI roadmap through research-to-production work.

Lead design and governance of LLM application architectures, prompt/agent patterns, RAG pipelines, evaluation frameworks, tooling, safety guardrails, and mentor teams to deploy robust, production LLM-powered products.

Design, deploy, and operate enterprise-grade Red Hat OpenShift clusters across on-prem and cloud. Automate lifecycle with GitOps/IaC, onboard developers, manage networking/storage/observability, harden security, run CI/CD pipelines, perform DR/upgrades, tune autoscaling, and mentor junior engineers.