Software Engineer II, Fintech at Twitch · LumiJobs

Responsibilities

Twitch's Enterprise Platform & Technology (EPT) organization is looking for a Software Development Engineer II to build agentic AI systems on AWS that power Finance and enterprise functions across Twitch and Amazon. This is a hands-on engineering role where you'll design and ship MCP (Model Context Protocol) servers, Bedrock-based agents, and Claude-powered workflows, and own the AWS-native infrastructure behind them end-to-end (Lambda, Step Functions, API Gateway, S3, DynamoDB, ECS/Fargate, CDK).
You'll work at the intersection of modern AI tooling and production cloud engineering, connecting AI agents to enterprise systems and data, automating manual operational work, and turning emerging AI capabilities into reliable, secure, observable services. The business problems are well understood; how you solve them with AWS + AI is up to you. We're looking for an engineer who stays current with the AI tooling landscape (models, agent frameworks, coding assistants, MCP), uses these tools heavily every day, and raises the bar on automation for the whole team.
Build agentic AI systems
Build MCP servers that give AI agents and assistants (Claude, Amazon Q, Kiro, and internal tools) secure access to enterprise data and actions, including through Bedrock AgentCore Gateway
Build Bedrock agents and Claude-powered workflows (using AgentCore, Knowledge Bases, Guardrails, Strands Agents, or LangGraph) that automate Finance work like reconciliations, reporting, variance analysis, and payouts
Evaluate and adopt new AI tools, models, and patterns as they emerge; turn prototypes into production-grade services
Design for safety and trust through prompt/tool design, guardrails, human-in-the-loop approvals, evaluation, and auditability
Build and run the AWS services that host the agents and integrations (Lambda, Step Functions, API Gateway, S3, DynamoDB, EventBridge, SQS/SNS, ECS/Fargate)
Manage infrastructure with CDK, including CI/CD, IAM, VPC connectivity, secrets management, and beta/gamma/prod environments
Develop data pipelines between enterprise apps, Redshift, and S3, and make that data available to AI agents
Set up monitoring for agents and services (CloudWatch metrics, logs, alarms, tracing)
Collaborate with Finance, Accounting, and Tax stakeholders to translate business requirements into AI-driven solutions

Qualification

AWS and EngineeringExperience writingExperience designingUnderstanding of OAuth 2AWS certification (eExperience shipping MCP serversExperience with LLM evaluationExperience with SAP development (ABAP

Required

Demonstrated heavy use of AI tools (Claude, Claude Code, Kiro, Amazon Q Developer, or similar) integrated into your daily engineering workflow for code generation, data analysis, automation, and problem-solving
Hands-on experience building with LLM APIs (Amazon Bedrock, Anthropic API, or similar), including prompt design, tool calling, and structured outputs
Working knowledge of the current AI tooling landscape, including MCP, agent frameworks, RAG patterns, and model selection trade-offs
AWS and Engineering
4+ years of professional software development experience
Hands-on experience deploying and operating production workloads on AWS (Lambda, S3, Step Functions, DynamoDB, IAM, API Gateway, or similar)
Proficiency in Python or TypeScript/JavaScript with a track record of shipping production code
Experience writing, deploying, and reviewing infrastructure-as-code (CDK, Terraform, or CloudFormation) in a team setting
Experience designing, testing, and debugging APIs (REST, JSON, OpenAPI) using tools like Bruno or Postman, including building request collections, handling authentication flows, and validating response contracts
Understanding of OAuth 2.0 authorization flows (authorization code, client credentials) and OpenID Connect (OIDC) for securing APIs and agent-to-service access

Preferred

AWS certification (e.g., Solutions Architect, Developer, DevOps Engineer, Machine Learning Engineer, or AI Practitioner)
Experience shipping MCP servers, Bedrock agents, or other agentic systems to production, using tools like AgentCore, Strands Agents, or LangGraph
Experience with LLM evaluation, observability, and guardrails (hallucination checks, cost/latency optimization, prompt versioning)
Experience with RAG and vector stores (Bedrock Knowledge Bases, OpenSearch Serverless, pgvector, or S3 Vectors)
Experience building internal developer tooling or AI assistants used by other engineers
Finance domain knowledge in areas like AP, AR, GL, reconciliations, or payouts
Experience integrating with enterprise systems (ERP, procurement, payments platforms)
Experience with SAP development (ABAP, OData, or integrations)

Software Engineer II, Fintech

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Twitch

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