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Software Engineer II, Fintech

Twitch

San Francisco, CAJob$165–224K/yrPosted todayStill listed today

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At a glance

Compensation
$165–224K/yr
Location
San Francisco, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Twitch’s Enterprise Platform & Technology organization is seeking a Software Development Engineer II to build agentic AI systems on AWS for Finance and enterprise functions. The engineer will develop MCP servers, Bedrock agents, and Claude-powered workflows, and own the cloud infrastructure and integrations behind them. The role connects AI agents to enterprise systems and data, automates operational work, and turns emerging AI capabilities into reliable, secure, observable services.

Skills & qualifications

RequiredNice to have

Skills

AI Tooling, requiredLLM APIs, requiredPrompt Design, requiredTool Calling, requiredStructured Outputs, requiredMCP, requiredAgent Frameworks, requiredRAG, requiredModel Selection, requiredAWS, requiredPython, requiredTypeScript, requiredJavaScript, requiredInfrastructure as Code, requiredAPI Design, requiredAPI Testing, requiredREST, requiredJSON, requiredOpenAPI, requiredBruno, requiredPostman, requiredOAuth 2.0, requiredOpenID Connect, requiredAWS Certification, nice to haveLLM Evaluation, nice to haveLLM Observability, nice to haveGuardrails, nice to haveVector Stores, nice to haveDeveloper Tooling, nice to haveAI Assistants, nice to haveFinance Domain Knowledge, nice to haveEnterprise Systems Integration, nice to haveSAP Development, nice to haveABAP, nice to haveOData, nice to have

Qualifications

4+ Years Software Development Experience, requiredProduction AWS Workloads Experience, requiredProduction Code Experience, requiredInfrastructure as Code Experience, requiredAPI Design and Debugging Experience, requiredAWS Certification, nice to haveProduction Agentic Systems Experience, nice to haveRAG and Vector Stores Experience, nice to haveInternal Developer Tooling Experience, nice to haveFinance Domain Knowledge, nice to haveEnterprise Systems Integration Experience, nice to haveSAP Development Experience, nice to have

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Parental Leave
Paid Time Off

Full job description

About Us

Twitch 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.

We’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.

About the Role

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.

You Will

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 on AWS

  • 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)

Cross-cutting

  • Collaborate with Finance, Accounting, and Tax stakeholders to translate business requirements into AI-driven solutions

  • Own production systems end-to-end, from deployment and monitoring to incident response and iterative improvement

  • Raise the team's bar through code reviews, docs, mentoring, and promoting AI-assisted development

You Have

AI and Agents

  • 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

Bonus Points

  • 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)

Perks

  • Medical, Dental, Vision & Disability Insurance

  • 401(k)

  • Maternity & Parental Leave

  • Flexible PTO

  • Amazon Employee Discount

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job ID: TW9266 The 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.

US, CA, San Francisco $165,200—$223,600 USD

Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.

How this job compares

Set against the 40,155 open Software Engineer jobs on Olive Jobs, counted November 11, 2026.

Pay
  • This posting$165–224K/yr
  • California median$164–243K/yr6,964 salary ranges
  • US median$133–216K/yr32,033 salary ranges

This range's midpoint, $194K, is 5% below the California median midpoint ($205K) — in the middle half of Software Engineer salary ranges in California.

Openings
Olive Jobs lists 8,558 open Software Engineer jobs in California and 40,155 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 4 years of experience; Software Engineer postings that state a minimum ask for 5 years at the median (33,026 postings).
Education
12,547 of the 40,155 open Software Engineer jobs (31%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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