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# Software Engineer

- **Company:** Vivaticket, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $170,000.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Adobe InDesign, Artificial Intelligence, Amazon Web Services, Automation of Tests, Big Data, Cloud Computing, Cloud Computing Security, Cloud Engineering, Code Review, Cyber Security, Continuous Integration, Programming Tools, Distributed Systems, Payment Systems, Github, Apache JMeter, Python (Programming Language), Load Testing, NoSQL, Payment Gateway, PCI Data Security Standards, Systems Development Life Cycle, Prometheus, Software Engineering, Test Data, Toolchain, TypeScript, Computer Gaming, Performance Testing, Large Language Models, Grafana, Gatling, Gitlab, Event Driven Architecture, Build Management, Kubernetes, Information Technology, Apache Kafka, Graphql, Restful APIs, Amazon Simple Queue Service (SQS), Serverless Computing, Golang, Microservices, Data Generation
- **Published:** September 4, 2026
- **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/sr-software-engineer/11014186

## About the Role

* Ownership in Quality Engineering: 5+ years of software engineering experience focusing on quality engineering, test automation framework design, and performance testing for complex, high-throughput distributed systems.
 * Automation & Scripting Mastery: Deep hands-on experience building automated test suites in Java, Python, Go, or TypeScript, with a strong command of REST API testing and microservices validation.
 * Performance & Load Testing Depth: Proven track record designing and running performance, stress, and load tests at scale using tools like JMeter, Locust, Gatling, or k6.
 * CI/CD & Cloud-Native Toolchains: Direct experience embedding automated quality gates into modern CI/CD pipelines (GitHub Actions, GitOps) within containerized environments (Docker, Kubernetes/EKS) on public clouds (AWS).
 * Data & Messaging Validation: Experience testing event-driven architectures (Kafka, SQS) and relational/NoSQL databases, ensuring data consistency and transactional integrity under load.
 * High-Agency Mindset: An innate drive to eliminate manual friction, proactively seek out edge cases, and acquire whatever missing domain context is needed to solve complex quality challenges end-to-end.

Nice to Have:

 * Experience with tokenization, payment processing, or security products
 * BA/BS degree
 * A knack for out-of-the-box thinking that thrives in a fast-paced startup environment
 * Domain expertise in 3DS, Network Tokens, Account Updater, or payment gateway integrations.
 * Experience with AI developer tools, LLM-generated test automation pipelines, or synthetic test data generation.
 * Practical knowledge of compliance and cloud security constraints (PCI-DSS, SOC2).

## Description

* Modern Tooling as Leverage: We value speed and impact. To ensure nothing slows you down, we arm you with a highly consistent modern stack (e.g. AWS, Kubernetes, Java, TypeScript, Python) and world-class AI-augmented SDLC tooling. We strip away the friction so you can focus on the problems that demand creativity and judgment.
 * Ownership of Outcomes: Scaling global payments infrastructure requires individuals who take personal ownership of outcomes from day one. We look for builders who combine high agency with deep strategic alignment; channeling their urgency and relentless iteration into what matters most.
 * Mission-Critical Accountability: We power payments infrastructure for global market leaders, making system trust and integrity our core deliverable. We don't treat compliance (PCI, SOC2, ISO27001), security patching, and platform maintenance as administrative overhead-we engineer them with first-class product discipline. In payments infrastructure, reliability is not background work, it's part of what customers buy.

Learn More: See how our engineering practices drive trust and innovation in our official blog and our reliability practices., As a Sr. Software Engineer, Payments Quality, you will serve as a key technical practitioner and quality champion on our Payments Engineering team. You will take ownership of setting, building, and enforcing world-class quality standards across our core payment systems. In this role, you will write software for robust AI-assisted quality strategies covering end-to-end automated regression suites and high-concurrency performance and load testing.

Working closely with feature development engineers, Tech Leads, and Product Management, you will ensure our mission-critical, high-throughput payment platform and applications operate with zero downtime and flawless accuracy. Rather than relying on manual QA or traditional top-down testing scripts, you will leverage AI-native engineering methodologies and integrate test automation across the entire SDLC. You will also be building emulators for external systems, such as card networks and other partner integrations. We are looking for hands-on builders who refuse to settle for the status quo, hate manual friction, and take immense pride in fortifying enterprise-grade financial systems for scalability, reliability, and security.

What You'll Do

 * Architect and Embed Quality Benchmarks: Own the overarching quality strategy for Payments Acceptance, building automated guardrails so seamlessly into our pipelines that rigorous end-to-end validation happens automatically, without slowing down feature teams, accelerating release cycles.
 * Drive Performance & Stress Testing: Architect and execute high-concurrency load, stress, and latency testing to stress-test payment pipelines under extreme transaction volumes. You own the mission of ensuring our platform never drops transactions or degrades in latency during peak periods..
 * Pioneer AI-Native Software Engineering focused on Quality: Actively integrate AI-assisted developer tools and agentic workflows into test creation, synthetic data generation, and automated edge-case analysis to multiply testing velocity. Build high performance emulators for external systems.
 * Deep Observability & Incident Prevention: Implement robust telemetry and telemetry-driven test environments using tools like Prometheus and Grafana to monitor system behavior under load, driving blameless post-mortems and proactive bug prevention.
 * Cross-Functional Velocity & Mentorship: Partner with feature teams to build "Golden Paths" for automated testing, ensuring engineers can validate code rapidly with high confidence. Mentor team members on quality engineering best practices., Lead the technical vision and architecture of Coinbase's FinHub financial infrastructure, including ledger, account balances, money movement, settlements, transfers, and transaction history. Drive distributed-system rearchitecture with double-entry accounting, idempotency, reconciliation, auditability, and resilient failure recovery. Lead cross-team initiatives, migrations, and technical strategy while partnering with product, finance, risk, compliance, and operations stakeholders. Mentor senior engineers and promote operational excellence and maintainability.
Top Skills: Asynchronous WorkflowsConsistency ModelsDistributed SystemsGenerative AiGoJavaPythonState Machines
DraftKings

Senior Software Engineer

6 Days Ago
Remote or Hybrid
Senior level
Senior level
Digital Media * Gaming * Information Technology * Software * Sports * Esports * Big Data Analytics
Design and build scalable APIs, cloud-native services, and applications supporting millions of users. Own service reliability, performance, testing, production incident response, and continuous improvement. Collaborate with product and architecture teams, participate in design and code reviews, contribute to technical decisions, and mentor engineers while delivering high-quality software in a fast-paced environment.
Top Skills: AWSC#DockerJavaKubernetes

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

 * Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
 * Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
 * Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
 * Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
 * Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
 * Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute


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