Top Tech Jobs & Startup Jobs

Design, operate, and optimize production model-serving platforms for LLMs, vision models, and recommendation systems. Responsibilities include inference performance optimization, routing, batching, caching, autoscaling, GPU utilization, observability, deployment automation, incident response, security controls, and capacity planning. The role collaborates with ML and product teams to release models and improve reliable, cost-effective AI services at scale.

Designs, develops, and operates PeopleSoft integrations with internal systems, cloud applications, and third-party platforms. Responsibilities include configuring Integration Broker service operations, queues, routings, transformations, security, and error handling; building REST and SOAP services; troubleshooting production issues; supporting upgrades and patches; conducting design and code reviews; and mentoring junior engineers.

Design and optimize GPU workloads for AI, high-performance computing, and data-processing systems. Develop CUDA kernels, custom ML operators, optimized libraries, benchmarks, and regression tests. Profile GPU code, tune memory and execution behavior, optimize distributed multi-GPU training, and evaluate new accelerator architectures. Collaborate with ML and engineering teams, contribute to compiler-level optimizations, document performance practices, and mentor junior engineers.

Develop and support SAP S/4HANA custom enhancements, integrations, and reports across the full software development lifecycle. Responsibilities include requirements analysis, technical design, ABAP and ABAP OO coding, CDS and AMDP development, OData and Fiori integration, testing, performance tuning, troubleshooting, documentation, and post-go-live support. The role collaborates closely with functional consultants and business stakeholders while applying clean-core principles.

Designs and governs cloud-native architectures across compute, networking, data, identity, and security. Partners with business, security, and engineering stakeholders to guide cloud migration, modernization, platform consolidation, and architecture reviews. Produces formal architecture artifacts, presents to senior leadership, influences engineering direction, and balances scalability, security, cost, maintainability, and delivery speed. The role requires deep expertise in at least one major cloud platform and familiarity with hybrid, multi-cloud, compliance, and FinOps practices.

Design, deploy, and operate secure, scalable Azure cloud platforms and production workloads. Responsibilities include infrastructure as code, networking, identity and governance, AKS, data services, CI/CD, observability, cost optimization, disaster recovery, security hardening, and automation. The role partners with application, security, and SRE teams, leads architecture reviews, mentors junior engineers, and supports cloud-native solutions across enterprise environments.

Designs, evaluates, and deploys applied machine learning systems across language, vision, recommendation, and structured-data domains. Responsibilities include developing scalable training and inference pipelines, conducting rigorous experiments, optimizing models, managing data quality, implementing safety and fairness evaluations, and translating research into production solutions. The role also involves collaborating with product and platform teams, documenting findings, mentoring engineers, and influencing AI strategy.

Leads enterprise-wide software architecture and technology strategy, designing globally distributed, highly scalable, fault-tolerant systems. Drives modernization, API and data architecture governance, reliability engineering, observability, DevOps, CI/CD, performance optimization, and disaster recovery initiatives. Partners with executives and product leaders on roadmaps, resolves critical production issues, conducts architectural reviews, and mentors senior engineering talent across multiple teams and business units.

Leads complex, cross-team software engineering initiatives; establishes architecture standards, drives system design and technical roadmaps, improves reliability and scalability, responds to production incidents, mentors engineers, contributes hands-on code, and influences engineering culture, hiring, and technical decision-making.

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