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Software Development Engineer (Product Reliability Engineering)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Development Engineer (Product Reliability Engineering): Building automation, data platforms, observability systems, and agentic AI tools for Visa’s globally distributed payment infrastructure with an accent on Python engineering, database reliability, and cloud-native operations. Focus on designing self-healing deployment workflows, optimizing tier-1 production databases, integrating GenAI into incident response, and maintaining secure, highly available systems at transaction scale.

Location: US - Austin, TX; at least 3 days per week in the office are required. The role is performed in an office setting and requires 5–10% travel.

Company

hirify.global operates global payments technology serving consumers, merchants, financial institutions, and government entities across more than 200 countries and territories.

What you will do

  • Design and ship automation for deployment pipelines, infrastructure provisioning, release orchestration, validation, rollback, and reporting.
  • Write production-grade Python and supporting Go or Bash tools to reduce manual intervention and enable self-managing systems.
  • Build, deploy, operate, and optimize relational database platforms, including patching, upgrades, backups, recovery, schema changes, replication monitoring, and query tuning.
  • Develop GenAI-powered engineering assistants and integrate LLMs into observability, incident response, deployment governance, and developer-support workflows.
  • Build dashboards, alerts, metrics, self-healing, and auto-scaling capabilities using observability tools for globally distributed payment systems.
  • Support secure, compliant, highly available infrastructure through threat modeling, vulnerability remediation, audit readiness, documentation, Agile collaboration, and on-call rotations.

Requirements

  • Bachelor’s degree or 3+ years of relevant work experience.
  • Foundations in data structures, algorithms, and systems design, including reasoning about complexity, tradeoffs, and failure modes.
  • Proficiency in Python and comfort with at least one additional language: Go, Java, or Bash.
  • Foundational knowledge of relational databases, including SQL, data modeling, query optimization, and database connectivity troubleshooting.
  • Familiarity with Linux/Unix environments and command-line tools.
  • Exposure to AWS, GCP, or Azure and conceptual understanding of Docker and Kubernetes.
  • Understanding of CI/CD principles and modern software delivery pipelines.
  • Genuine intellectual interest in GenAI platforms and agentic systems is required; hands-on exposure is a plus.

Nice to have

  • Degree in Computer Science, Software Engineering, or a related technical field; 2023–2025 graduates are preferred and December 2025 graduates are welcome.
  • Experience with Terraform, Ansible, or Pulumi, including coursework, capstone, or internship experience.
  • Experience with Liquibase or other database CI/CD tooling.
  • Experience with Prometheus, Grafana, Splunk, ELK, or Datadog.
  • Database administration experience covering backup and recovery, performance tuning, index management, or replication monitoring.
  • Familiarity with Git workflows and Jenkins, GitHub Actions, or ArgoCD.
  • Academic or project experience with scikit-learn, PyTorch, LangChain, or LangGraph.
  • Understanding of DNS, load balancing, service mesh, or TCP/IP.
  • GitHub profile, personal project, hackathon entry, or open-source contribution demonstrating technical thinking and implementation.

Culture & Benefits

  • Full-time employment with collaboration in Agile squads alongside senior engineers, product managers, and global PRE peers.
  • Participation in on-call rotations with support structures and mentorship.
  • Benefits may include medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and a wellness program.
  • Work hours vary according to department needs.
  • Work is conducted in an office setting with regular in-person communication and standard desk-based activities.

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