Top Tech Jobs & Startup Jobs

Lead prompt design strategy, agentic workflows, LLM application architectures, reusable design patterns, evaluation frameworks, and developer tooling. Ship production LLM products, design responsible AI solutions, build retrieval and evaluation systems, mentor engineers, and influence technical direction across teams.

Designs and operationalizes large language model fine-tuning workflows using supervised, preference-based, and reinforcement learning. Responsibilities include dataset construction, evaluation methodology, distributed training, GPU cluster operations, failure recovery, and production deployment. The engineer collaborates cross-functionally, contributes to design and code reviews, mentors junior engineers, and ships impactful LLM solutions.

Lead enterprise-wide software architecture and technology strategy for highly scalable, resilient distributed systems. Design multi-region platforms, establish API, data, DevOps, CI/CD, observability, and reliability standards, and drive modernization initiatives. Conduct architectural reviews, performance audits, capacity planning, and incident response improvements. Partner with executives and product leaders on technology roadmaps, resolve critical production issues, and mentor Staff and Senior Engineers across the organization.

Designs, builds, and operates reliable, high-performance machine learning inference platforms at scale. Responsibilities include request routing, batching, caching, autoscaling, GPU utilization, observability, performance engineering, capacity planning, and incident response. The role requires distributed systems expertise, production experience with high-throughput services, LLM inference frameworks, Kubernetes, cloud platforms, and GPU architecture. Preferred experience includes open-source serving infrastructure, globally distributed AI systems, model optimization, FinOps, and external-facing AI APIs.

Designs and leads large-scale microservices ecosystems, including service decomposition, domain-driven design, API contracts, distributed data management, resilience, observability, security, and cloud-native platform capabilities. The role modernizes monoliths, establishes deployment and testing standards, drives scalability and performance, conducts architecture reviews, evaluates technologies, and mentors engineering teams across complex transformations.

Designs, builds, and maintains infrastructure-as-code foundations for cloud and hybrid environments. Responsibilities include developing reusable Terraform modules, managing state and workspaces, hardening CI/CD pipelines, enforcing policy-as-code, standardizing infrastructure delivery, and troubleshooting large-scale multi-environment deployments. The role also requires expertise in cloud networking, identity, security, Git workflows, and scripting.

Designs and operates observability platforms covering metrics, logging, tracing, alerting, dashboards, collection pipelines, and long-term storage. The role focuses on signal quality, usability, operational efficiency, SRE principles, SLOs, error budgets, incident management, and high-scale telemetry pipelines. Responsibilities include integrating observability with CI/CD, supporting containerized environments, optimizing costs, and translating telemetry into actionable insights for technical and business stakeholders.

Architects, designs, develops, deploys, and maintains enterprise-grade web applications, microservices, and distributed systems. Translates business requirements into technical designs, writes production-quality Java and React code, develops RESTful APIs, manages relational databases, and supports cloud-native services throughout their lifecycle. Collaborates through Git-based workflows, CI/CD, code reviews, and release management, with opportunities to work on event-driven architectures, Kubernetes, Docker, and automated testing.

Designs and implements application security throughout the software development lifecycle. Responsibilities include threat modeling, security architecture reviews, code reviews, security tooling across CI/CD pipelines, vulnerability management, red-team exercises, runtime protections, secure authentication and cryptography, cloud and Kubernetes hardening, security training, incident response, and technical documentation.

Build and maintain production-grade Salesforce solutions using Apex, Lightning Web Components, Flow, JavaScript, and integration platforms. Develop custom business logic, user interfaces, integrations, and automation while respecting platform limits and maintainability requirements. The role requires expertise in Salesforce data modeling, sharing, APIs, source-driven development, troubleshooting, and enterprise implementations. Preferred experience includes Industry Clouds, MuleSoft, Einstein AI, Agentforce, and Experience Cloud.