{"id":4057916,"url":"https://alion.io/job/twitch-software-engineer-ii-fintech-5","title":"Software Engineer II, Fintech","company":{"id":5234,"name":"Twitch","domain":"twitch.tv","url":"https://alion.io/company/twitch","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":100,"open_postings":6,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":165200,"max":223600,"currency":"USD","period":"year","gross":null,"usd_annual":223600},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anthropic","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"CloudFormation","optional":false},{"name":"DynamoDB","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"IAM","optional":false},{"name":"JavaScript","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Postman","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"ABAP","optional":true},{"name":"Hallucination","optional":true},{"name":"LangChain","optional":true},{"name":"Machine Learning","optional":true},{"name":"OpenSearch","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-11-11T04:09:25Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T06:26:09Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Us\nTwitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.\nWe’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.\nAbout the Role\nTwitch'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).\nYou'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.\nYou Will\nBuild agentic AI systems\nBuild 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\nBuild 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\nEvaluate and adopt new AI tools, models, and patterns as they emerge; turn prototypes into production-grade services\nDesign for safety and trust through prompt/tool design, guardrails, human-in-the-loop approvals, evaluation, and auditability\nBuild on AWS\nBuild and run the AWS services that host the agents and integrations (Lambda, Step Functions, API Gateway, S3, DynamoDB, EventBridge, SQS/SNS, ECS/Fargate)\nManage infrastructure with CDK, including CI/CD, IAM, VPC connectivity, secrets management, and beta/gamma/prod environments\nDevelop data pipelines between enterprise apps, Redshift, and S3, and make that data available to AI agents\nSet up monitoring for agents and services (CloudWatch metrics, logs, alarms, tracing)\nCross-cutting\nCollaborate with Finance, Accounting, and Tax stakeholders to translate business requirements into AI-driven solutions\nOwn production systems end-to-end, from deployment and monitoring to incident response and iterative improvement\nRaise the team's bar through code reviews, docs, mentoring, and promoting AI-assisted development\nYou Have\nAI and Agents\nDemonstrated 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\nHands-on experience building with LLM APIs (Amazon Bedrock, Anthropic API, or similar), including prompt design, tool calling, and structured outputs\nWorking knowledge of the current AI tooling landscape, including MCP, agent frameworks, RAG patterns, and model selection trade-offs\nAWS and Engineering\n4+ years of professional software development experience\nHands-on experience deploying and operating production workloads on AWS (Lambda, S3, Step Functions, DynamoDB, IAM, API Gateway, or similar)\nProficiency in Python or TypeScript/JavaScript with a track record of shipping production code\nExperience writing, deploying, and reviewing infrastructure-as-code (CDK, Terraform, or CloudFormation) in a team setting\nExperience 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\nUnderstanding of OAuth 2.0 authorization flows (authorization code, client credentials) and OpenID Connect (OIDC) for securing APIs and agent-to-service access\nBonus Points\nAWS certification (e.g., Solutions Architect, Developer, DevOps Engineer, Machine Learning Engineer, or AI Practitioner)\nExperience shipping MCP servers, Bedrock agents, or other agentic systems to production, using tools like AgentCore, Strands Agents, or LangGraph\nExperience with LLM evaluation, observability, and guardrails (hallucination checks, cost/latency optimization, prompt versioning)\nExperience with RAG and vector stores (Bedrock Knowledge Bases, OpenSearch Serverless, pgvector, or S3 Vectors)\nExperience building internal developer tooling or AI assistants used by other engineers\nFinance domain knowledge in areas like AP, AR, GL, reconciliations, or payouts\nExperience integrating with enterprise systems (ERP, procurement, payments platforms)\nExperience with SAP development (ABAP, OData, or integrations)\nPerks\nMedical, Dental, Vision & Disability Insurance\n401(k)\nMaternity & Parental Leave\nFlexible PTO\nAmazon Employee Discount\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. \nJob ID: TW9266\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\nUS, CA, San Francisco\n$165,200—$223,600 USD\nTwitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nTwitch values your privacy. 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