Software Engineer jobs in United States
Explore 1,387 matching jobs.
Software Engineer
Thomson Reuters
Posted: 10/21/2026AWSAzureCloudDistributed SystemsGoogle Cloud PlatformMicroservicesNoSQLPostgresPython+3 more
Software Engineer
Booz Allen Hamilton
Posted: 10/21/2026CloudDrupalJavaJavaScriptNode.jsPHPPythonReactC+++1 more
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Software Engineer
Boeing
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Regional Electrical Project Engineering Specialist
Alcoa
Posted: 10/21/2026Software Engineer
H&R Block
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Intersect Power
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Intersect Power
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Baker Tilly US
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Baker Tilly US
Posted: 10/21/2026PythonTypeScript
Mainframe Developer – Cards
Regions Bank
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Engineering Intern
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Duke Energy Corporation
Posted: 10/21/2026Software Engineer
Granicus
Posted: 10/21/2026Senior Developer Marketing Manager – Lifecycle & Growth
1Password
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Secure Facilities Technical Engineering – Mission Critical & Secure Facilities
AECOM
Posted: 10/21/2026Lead Developer
Endava
Posted: 10/21/2026AWSCloudDockerGrafanaJavaScriptJenkinsJestKubernetesMicroservices+4 more
Manager II, Engineering – Kubernetes Platform
CloudDistributed SystemsKubernetes

Software Engineer
Thomson ReutersCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and shipping AI agentic features, with strong capabilities in backend service design using Python, FastAPI, and PostgreSQL. Proficient in cloud services, API design, and implementing CI/CD pipelines for scalable, production-ready systems.
Highest-signal resume keywords
Python DevelopmentBackend Service DesignCI/CD Pipeline StrengtheningRESTful API DesignCloud Services (AWS, Azure, GCP)
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGoogle Cloud PlatformMicroservicesNoSQLPostgresPythonReactSQLTypeScript
About the role
Key responsibilities & impact- Build and ship AI agentic features end to end, from written requirements through design, implementation, code review, and production
- Own straightforward projects with moderate guidance
- Design and build backend services using Python, FastAPI, and PostgreSQL
- Support real-time AI interactions and large-scale data flows
- Contribute to agentic workflows, LLM orchestration, and content pipelines
- Integrate modern LLM providers such as OpenAI and Anthropic
- Implement orchestration, routing, error handling, guardrails, telemetry, and observability
- Strengthen CI/CD pipelines and DevOps automation for cloud-native development
- Apply AI coding and testing tools and help build AI capabilities into the product
- Translate business requirements into appropriate AI and non-AI solutions
- Read unfamiliar code, perform root cause analysis, troubleshoot production behavior, and resolve issues
- Contribute to automated testing strategy and continuous integration and delivery pipelines
- Participate in design discussions, agile ceremonies, and cross-team work with Product, Design, and Labs
- Share knowledge, support colleagues, and contribute to a learning-oriented team culture
Requirements
What you’ll need- 1-3+ years of professional software development experience
- Working knowledge of Python
- Experience with AWS, Azure, or GCP cloud services
- Solid understanding of RESTful API design, distributed systems, and microservices architecture
- Experience with SQL and NoSQL databases
- Excellent debugging skills
- Proven ability to deliver production-ready, highly reliable systems
- Comfortable operating in fast-paced, iterative environments
- Strong cross-functional communication skills
- Evidence of learning quickly, including something self-taught and shipped
- BA or BS in Computer Science or equivalent practical experience (preferred)
- Experience with backend performance optimization, monitoring, profiling, and tuning for scale (preferred)
- Experience building AI-powered product features, ideally agentic AI workflows (preferred)
- Experience with tool/API orchestration, LLM APIs, RAG pipelines, Claude Agent SDK, or AgentCore (preferred)
- Experience with Agentic UI, SSE/AG-UI streaming semantics, TypeScript, or React (preferred)
- Experience with Datadog, CloudWatch Log Insights, or Braintrust (preferred)
- Familiarity with AI/ML infrastructure, vector databases, model serving, and LLM cost/latency optimization (preferred)
- Experience with testing, automation, and operational robustness (preferred)
- Prior experience with legal, compliance, or other regulated professional-domain products (preferred)
Benefits
Comp & perks- Flexible hybrid working environment for office-based roles
- Work from anywhere for up to 8 weeks per year
- Flexible vacation
- Two company-wide Mental Health Days off
- Headspace app access
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Mental, physical, and financial wellbeing resources
- Two paid volunteer days off annually
- Pro-bono consulting projects and ESG initiatives
- Health, dental, vision, disability, and life insurance programs (United States)
- Competitive 401(k) plan with company match (United States)
- Sick and safe paid time off and paid holidays
- Parental leave
- Sabbatical leave
- Optional hospital, accident and sickness insurance
- Optional life and AD&D insurance
- Flexible Spending and Health Savings Accounts
- Fitness reimbursement
- Employee Assistance Program
- Group Legal Identity Theft Protection benefit
- 529 Plan access
- Commuter benefits
- Adoption & Surrogacy Assistance
- Employee Stock Purchase Plan
- Potential eligibility for an Annual Bonus based on enterprise and individual performance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonFastAPIPostgreSQLSQLNoSQLRESTful API DesignMicroservices ArchitectureDebuggingPerformance OptimizationAutomated Testing
Soft Skills
Cross-Functional CommunicationLearning AgilityTeam CollaborationProblem SolvingAdaptability
Tools & Technologies
AWSAzureGCPDatadogCloudWatchAgentCoreClaude Agent SDKTypeScriptReactAI/ML Infrastructure
Certifications & Qualifications
BA or BS in Computer Science
Industry Keywords
AI Agentic FeaturesLLM OrchestrationContent PipelinesTool/API OrchestrationRegulated Professional-Domain Products