Senior Software Engineer - Billing
New
L
LobLogistics and fulfillment
We offer remote working opportunities in AZ, CA, CO, DC, FL, GA, IA, IL, MA, MD, MI, MN, MT, NE, NC, NH, NJ, NV, NY, OH, OR, PA, RI, TN, TX, UT, and WAFull-TimeSenior
SalaryAnnual Base Salary: $170,000 - $195,000
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Job Details
- Experience
- 4–8 years
- Required Skills
- AWSNode.jsVue.JsGoPostgresRedisRESTful APIsTerraform
Requirements
- 4–8 years as a software engineer (senior-level preferred).
- Strong experience with Node.js and/or Go; familiarity with Vue.js or similar frontend frameworks.
- Experience with relational DBs such as Postgres, MySQL, or SQL Server, and familiarity with NoSQL/kv stores such as Redis.
- Experience with job/queueing systems (SQS, Kafka, Kinesis, or similar).
- Strong background building and operating RESTful and RPC-style APIs and integrating third-party APIs.
- Familiarity with unit and automated testing frameworks and test-driven development practices.
- Practical experience using AI-assisted development tools for code generation, test creation, debugging, documentation, or developer productivity.
- Hands-on experience with Terraform, CloudFormation, or other IaC.
- Experience with metrics, distributed tracing, and centralized logging tools.
- Experience optimizing high-throughput, latency-sensitive workloads.
Responsibilities
- Contribute to the development of billing and payments solutions.
- Collaborate with other engineers to develop solutions for business cases.
- Build and maintain integrations with internal and external payment and accounting systems.
- Build resilient, observable services running on AWS using SQS, Lambda, and related infrastructure; own runtime reliability and incident response for services you ship.
- Partner with product, finance, and cross-functional engineering teams to translate business requirements into technical solutions.
- Drive adoption of automated tests, CI/CD, and robust deployment practices.
- Write clear technical design docs and user-friendly operational runbooks for both technical and non-technical stakeholders.
- Coach and mentor engineers, contribute to hiring, and help raise the team’s engineering standards.
- Leverage AI-assisted development tools and techniques to accelerate coding, testing, documentation, and debugging while applying best practices for responsible and secure AI use.
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