1 день назад
Software Engineer II (AI)
90 900 - 130 700$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer II (AI) (distributed systems and cloud-native platforms): Building and operating scalable enterprise software with an accent on distributed systems, microservices, AI-assisted development, and production reliability. Focus on designing resilient architectures, implementing automated testing and CI/CD, and improving observability, security, and maintainability in compliance-sensitive environments.
Location: Atlanta, GA, United States
Salary: $90,900–$130,700 per year, plus potential performance-based bonus and restricted stock units.
Company
provides a workforce operating platform using workforce insights and AI to help organizations improve productivity, talent management, and employee experiences.
What you will do
- Design, build, test, deploy, and operate scalable enterprise software systems and services.
- Lead technical design for distributed systems, microservices, APIs, event-driven integrations, and data models.
- Own services end to end, including CI/CD automation, deployment, observability, operational health, and production support.
- Use AI-assisted development tools such as GitHub Copilot and Claude while validating generated output for correctness, security, and maintainability.
- Build automated unit, integration, contract, and edge-case test suites and improve production reliability through telemetry, logging, and metrics.
- Collaborate with engineering, product, platform, security, and business stakeholders while documenting systems, APIs, and operational processes.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- At least 2 years of experience in software development, quality engineering, test automation, DevOps, or a related technical role.
- Strong proficiency in one or more of Java, C#, Python, Go, or Kotlin.
- Experience designing and operating distributed systems and microservices, including RESTful APIs and event-driven integrations.
- Experience with relational databases such as PostgreSQL or SQL Server, cloud platforms, Docker, Kubernetes, CI/CD pipelines, GitHub, and Agile workflows.
- Experience using AI-assisted engineering tools and applying responsible AI principles related to privacy, transparency, auditability, governance, and compliance.
Nice to have
- Experience with AWS, Azure, or GCP and large-scale production observability and operations.
- Experience implementing automated testing across unit, integration, and contract-testing layers.
- Experience in compliance-sensitive or business-critical domains.
- Experience integrating LLM APIs, intelligent automation, or agentic workflows into production applications.
- Ability to drive projects independently and influence technical direction across teams.
Culture & Benefits
- Work on a workforce operating platform used by organizations around the world.
- Collaborative environment spanning engineering, product, platform, security, and business teams.
- Benefits and flexible work practices are provided.
- Eligible employees may receive performance-based bonuses and restricted stock units.
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