Forward
Sr Software Engineer
Texas · Senior
Sponsorship not specifiedDetected 63 days ago
JavaScriptTypeScriptJavaReactNext.jsNode.jsFull-Stack DevelopmentNoSQLPostgreSQLDynamoDBVector DatabasesAWSCloud PlatformsKubernetesTerraformPrometheusGrafanaDatadogSite Reliability EngineeringAPI DevelopmentKafkaMachine LearningData EngineeringLLMs
About the role
- This role is a core contributor on our engineering team.
- We need someone who sees the gaps, fills them, and doesn't wait to be asked.
- Stand up and evolve AI platform infrastructure as the roadmap matures - model serving, orchestration, and evaluation pipelines.
Responsibilities
- Architect, build, and maintain full-stack applications using TypeScript, Next.js, React, and Node.js across our product surface area.
- Own end-to-end feature delivery from database schema and API design through frontend UI/UX, including observability, testing, and deployment.
- Drive architectural decisions across the stack, balancing speed with long-term durability.
- Design and implement agentic AI systems - autonomous agents that plan multi-step workflows, use tools, call APIs, and make decisions with minimal human oversight.
- Lead the integration of LLM-powered capabilities into production systems - prompt engineering, tool-use frameworks, retrieval-augmented generation (RAG), and multi-agent orchestration.
- Build and operate real-time streaming data pipelines using Kafka (or Kafka-compatible platforms like WarpStream), stream processors, and event-driven architectures.
- Design event-driven data flows that feed both product and AI systems with low-latency data.
Requirements
- Track record of leading small engineering teams while staying hands-on - you're a player-coach, not a meeting machine.
- Deep expertise in TypeScript/JavaScript across the full stack - you're equally comfortable writing React components and Node.js microservices.
- Strong production experience with Next.js (App Router, Server Components, API routes, middleware, ISR/SSR strategies).
- Hands-on experience with Apache Kafka or Kafka-compatible streaming platforms (producers, consumers, exactly-once semantics, schema registries, stream processing).
- Strong communication skills and the ability to work effectively with engineering, product, and business teams.
Nice to have
- Experience in fintech, payments, or regulated industries (PCI DSS, SOC 2).
- Familiarity with modern AI/ML tooling - LangChain, LlamaIndex, OpenAI/Anthropic APIs, vector databases, embedding pipelines.
- Background with data infrastructure components like Apache Iceberg, StarRocks, ClickHouse, or RisingWave.
- Streaming infrastructure and lakehouse architectures (Kafka, Flink, Iceberg).
- Service mesh with GitOps-driven rollouts (Argo/Flux) - canary deployments, traffic shaping.
- Contributions to open-source projects or technical blog posts demonstrating thought leadership.
- Experience with observability stacks (Datadog, Sentry, Prometheus/Grafana) and SRE practices.
- The opportunity to shape both the AI roadmap and the platform that powers it.
Compensation
- Competitive salary and equity package.
Benefits
- Competitive salary and equity package.
- Comprehensive health, dental, and vision benefits.
- Flexible work arrangements and generous PTO.
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