Top Tech Jobs & Startup Jobs

Design, train, evaluate, and deploy reinforcement learning systems for complex decision-making problems. Develop reward functions, simulation environments, and scalable policy-training pipelines using GPU clusters. Apply modern RL algorithms and deep learning frameworks to deliver stable, safe production systems. Collaborate across research and engineering, with opportunities involving RLHF, multi-agent and hierarchical RL, robotics, control systems, and autonomous driving.

Design, deploy, and operate production service mesh platforms, primarily Istio and Linkerd, across Kubernetes environments. Manage secure service-to-service communication, mTLS, traffic policies, observability, distributed tracing, and certificate lifecycles. Troubleshoot networking, application, and control-plane issues; develop automation in Go or Python; support mesh adoption across application teams. Preferred experience includes multi-cluster deployments, Cilium, eBPF, SPIFFE/SPIRE, open-source contributions, and enterprise zero-trust networking.

Designs and develops production Salesforce solutions using Apex, Lightning Web Components, Flow, integrations, and automation. Builds custom business logic, APIs, user interfaces, and maintainable enterprise solutions while managing platform limits. Requires strong Salesforce data modeling, sharing, troubleshooting, and source-driven development expertise.

Develop and customize Guidewire InsuranceSuite solutions across PolicyCenter, BillingCenter, and ClaimCenter. Build Gosu-based configurations, integrations, product models, rules, messaging, batch processes, and plugins. Support Guidewire Cloud upgrades, troubleshoot production issues, and collaborate with business stakeholders and cross-functional teams. The role also includes code and design reviews, requirements translation, and mentoring junior engineers.

Develop and maintain enterprise digital experiences using Sitecore XP, XM Cloud, and Content Hub. Build backend C#/.NET solutions, front-end interfaces, content models, integrations, and CI/CD deployment pipelines. Support headless implementations, platform upgrades, legacy migrations, troubleshooting, and performance tuning while collaborating with editors, marketers, and other stakeholders.

Develop and support SAP S/4HANA custom enhancements, integrations, and reports across the full development lifecycle. Responsibilities include ABAP and ABAP OO coding, CDS views, AMDPs, OData services, Fiori integration, enhancement frameworks, performance tuning, testing, troubleshooting, documentation, and post-go-live support. The role collaborates with functional consultants and business stakeholders while applying clean-core principles and supporting enterprise SAP landscapes.

Design and operate enterprise observability platforms for metrics, logs, traces, events, synthetic monitoring, dashboards, and alerting. Architect scalable Prometheus, Grafana, OpenTelemetry, Datadog, and related deployments; establish instrumentation standards, SLOs, SLIs, error budgets, and actionable alerts. Improve incident readiness, observability adoption, platform cost management, and integration with CI/CD and progressive delivery. Mentor engineering teams and maintain platform documentation, onboarding materials, and runbooks.

Design, build, and operate large-scale AI infrastructure for GPU-based training and inference. Responsibilities include distributed scheduling, storage and networking optimization, observability, checkpointing, fault tolerance, security, automation, cost control, and developer tooling. The engineer will support hybrid cloud and on-premise environments, integrate major ML frameworks, plan capacity with research teams, and maintain operational documentation. The role requires extensive infrastructure or HPC experience, strong Python and systems programming skills, and expertise in distributed training and accelerator platforms.

Develop and maintain enterprise AEM digital experiences across Sites, Assets, and Cloud Service. Build components, templates, workflows, OSGi services, Sling models, integrations, front-end experiences, headless delivery patterns, and CI/CD pipelines. Optimize performance, caching, and Dispatcher configurations; troubleshoot production issues; integrate Adobe Experience Cloud and external systems; support personalization and testing; and collaborate with authors, designers, product owners, and infrastructure teams.

Designs and governs cloud-native architectures across compute, networking, data, identity, and security. Partners with business, security, and engineering stakeholders to support cloud migration, modernization, and platform consolidation. Produces architecture artifacts, leads reviews, influences engineering direction, and balances cost, security, scalability, maintainability, and delivery speed. Requires deep expertise on a major cloud platform, strong communication skills, and cloud architecture certification.