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Fit analysis

The candidate possesses deep expertise in B2B SaaS architecture, complex data integration, and full SDLC ownership, which is a strong match. The primary gaps relate to explicit hands-on evidence of major cloud infrastructure tools (AWS, Docker, Kubernetes) required by the job description.

Where you fit

  • Full Software Development Lifecycle Ownership: Demonstrated ability to own technical solutions from initial design through deployment and ongoing operation across multiple roles (e.g., Brooking Technologies, SCP Corp LLC).
  • Back-end Microservices & APIs: Strong experience developing secure backends using Node.js/Express for complex B2B workflows and managing integrations via REST and GraphQL (Hasura) (SCP Corp LLC, Mission Ready Solutions).
  • Relational Database Expertise: Extensive management of complex e-commerce data flows and centralized customer account information using PostgreSQL across multiple platforms (Multiple roles).
  • Enterprise SaaS Development: Proven track record building and maintaining large-scale B2B/IoT SaaS platforms (Colony Watch monitoring 1,800+ assets; Brooking Technologies headless portal).
  • Operational Process Optimization: Quantifiable results in improving business metrics, such as optimizing B2B quote accuracy by 30% and reducing potential downtime by 95%.
  • Full-Stack Proficiency: Expertise across the stack (Next.js/React frontend, Node.js/Rust backend) allows for comprehensive system ownership.
  • Data Integration & Modeling: Skilled in bridging disparate systems using GraphQL and managing complex data structures (e.g., integrating WooCommerce with Hasura).

Where you may struggle

  • Cloud Platform Experience: The JD requires 3+ years of experience with AWS or another major public cloud platform; while infrastructure scaling is mentioned, explicit use of a major provider like AWS is not detailed.
  • Containerization and Orchestration: There is no explicit mention of hands-on experience with Docker or Kubernetes, which are critical requirements for modern back-end services and containerized environments.
  • Go Language Experience: The JD lists Go as a preferred language; the candidate has strong Node.js/Rust skills but lacks evidence in Go.

Cover letter

Job description
We Are Accenture LearnVantage helps organizations transform how their people learn and work through technology and innovative learning solutions. We partner with enterprise clients to deliver scalable, outcome-driven learning experiences that combine digital learning platforms, emerging technologies, and workforce transformation expertise. The LearnVantage Engineering team builds and operates the technology platforms that power these experiences at enterprise scale. Our engineers develop secure, reliable, and high-performance systems supporting learners, administrators, customers, and partners across a global learning ecosystem. You Are A highly capable back-end software engineer with experience designing, building, and operating production systems at scale. You are comfortable owning services through the full software development lifecycle - from architecture and implementation through testing, deployment, observability, troubleshooting, and continuous improvement. You have strong experience with modern back-end technologies, cloud-native development, APIs, microservices, relational databases, containerized environments, and enterprise integrations. You work effectively across Engineering, Product, Design, and Operations and can independently take complex problems from requirements through production delivery. You are also comfortable using modern AI-assisted software development tools as part of your engineering workflow to accelerate implementation, investigation, testing, and technical analysis. The Work Design, develop, test, deploy, and maintain scalable back-end services, APIs, and microservices supporting LearnVantage products. Build robust, secure, and reliable systems supporting complex enterprise learning and administration workflows. Own technical solutions from initial design through production deployment and ongoing operation. Partner with Product, Design, Engineering, Operations, and other stakeholders to translate product and enterprise requirements into effective technical solutions. Build and maintain integrations between LearnVantage and enterprise platforms, partner systems, and external services. Improve existing systems for performance, scalability, reliability, security, and maintainability. Design and work with relational data models and production databases. Develop and operate containerized applications in cloud environments. Build and maintain automated testing, CI/CD, deployment, and observability practices. Troubleshoot complex production issues and improve system resilience and availability. Participate in architecture discussions, technical design reviews, and code reviews. Apply software engineering best practices across code quality, testing, security, documentation, and operational readiness. Use AI-assisted development tools to accelerate software delivery while maintaining appropriate engineering review, testing, and quality standards. Contribute to continuous improvement of engineering standards, development practices, and platform architecture. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here's What You Need Minimum of 3 years of professional software engineering experience in a product-oriented, live production environment. Minimum of 3 years of experience designing, building, and maintaining production-quality back-end services and microservices using languages such as Go, Node.js/TypeScript, or Python, including REST and/or GraphQL APIs, relational databases such as PostgreSQL, and scalable distributed systems. Minimum of 3 years of experience with AWS or another major public cloud platform, including hands-on experience with Docker, Kubernetes, and CI/CD pipelines. Minimum of 2 years of experience developing or supporting enterprise SaaS products or platforms, including authentication, application security, system integrations, and troubleshooting production issues affecting reliability, availability, or performance. Minimum of 1 year of experience using AI-assisted software development tools for coding, debugging, technical investigation, testing, or code review. Bachelor's degree in Computer Science, Engineering (or related field) or equivalent (minimum 12 years) work experience. If Associate's Degree, must have minimum 6 years work experience. Professional Skills Requirements Ability to independently drive technical work from requirements and design through production delivery. Ability to collaborate effectively across Engineering, Product, Design, Operations, and other cross-functional teams. Strong technical problem-solving and troubleshooting skills. Ability to communicate technical decisions, tradeoffs, and recommendations clearly to technical and non-technical stakeholders. Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 12/03/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: https://www.accenture.com/us-en/careers/local/benefits Role Location Annual Salary Range California $70,350 to $205,800 Colorado $63,800 to $177,800 Connecticut $63,800 to $177,800 District of Columbia $68,000 to $189,300 Illinois $59,100 to $177,800 Maine $54,400 to $151,400 Maryland $63,800 to $177,800 Massachusetts $63,800 to $189,300 Minnesota $63,800 to $177,800 New York $66,300 to $205,800 New Jersey $68,000 to $205,800 Ohio $59,100 to $164,600 Virginia $59,100 to $189,300 Washington $80,200 to $189,300 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. 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Questions from the bot

Do you have professional experience deploying applications using AWS? If so, what specific services (e.g., EC2, S3, Lambda) did you utilize?
Have you worked with Docker for containerizing microservices or managing deployment pipelines? How did you use it?
Do you have hands-on experience setting up and operating Kubernetes clusters? What was your role in the orchestration process?

Timeline

2026-10-20 22:06:18
scored 88: The candidate possesses deep expertise in B2B SaaS architecture, complex data integration, and full SDLC ownership, which is a strong match. The primary gaps relate to explicit hands-on evidence of major cloud infrastructure tools (AWS, Docker, Kubernetes) required by the job description.
2026-10-20 22:04:53
found Found via jobspy:indeed