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В Company hidden можно работать с надежностью инфраструктуры крупного масштаба и AI, но сочетание автоматизации, администрирования баз данных и AI делает повседневные задачи менее сфокусированными, а зарплата не указана.
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Широкий круг задачЗарплата не указанаСовременный стекРабота с AIМасштаб Company hiddenРабота из офиса
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Development Engineer - Product Reliability Engineering (Python/AI): Building automation, data-platform operations, observability, and AI-powered engineering tools for globally distributed payment infrastructure with an accent on reliability, database performance, and secure cloud-native delivery. Focus on designing self-healing systems, optimizing production databases, integrating LLMs into operations, and supporting high-availability transaction platforms.
Location: US - Denver, CO; at least 3 days per week in the office. The role requires 5–10% travel. hirify.global is not offering relocation assistance or immigration support.
Company
hirify.global is a global payments technology company operating transaction infrastructure 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 tools in Go or Bash to reduce manual operational work.
Support relational database platforms through schema design, patching, upgrades, backups, recovery, performance tuning, and replication monitoring.
Build AI-powered engineering assistants and integrate LLMs into observability, incident response, deployment, and environment-management workflows.
Create dashboards, alerts, and metrics with Prometheus, Grafana, Splunk, or ELK, contributing to self-healing, auto-scaling, and incident prevention.
Support secure, compliant, high-availability infrastructure and participate in Agile delivery, documentation, and on-call rotations.
Requirements
Bachelor’s degree or at least 3 years of relevant work experience.
Foundations in data structures, algorithms, systems design, complexity, trade-offs, and failure modes.
Proficiency in Python and comfort with at least one additional language such as Go, Java, or Bash.
Understanding of relational databases, SQL, data modeling, query optimization, Linux/Unix environments, cloud platforms, containers, and CI/CD.
Curiosity about GenAI platforms and agentic systems; intellectual interest in this area is required.
Must work from the Denver office at least 3 days per week; immigration support is not available.
Nice to have
Experience with Terraform, Ansible, Pulumi, Liquibase, or database CI/CD workflows.
Experience with observability tools, database administration, performance tuning, backups, recovery, or replication monitoring.
Familiarity with Git workflows, Jenkins, GitHub Actions, ArgoCD, Docker, Kubernetes, and cloud platforms.
Project or academic experience with scikit-learn, PyTorch, LangChain, or LangGraph.
Knowledge of DNS, load balancing, service mesh, TCP/IP, or open-source development.
Culture & Benefits
Engineering-focused Product Reliability Engineering organization with mentorship and support during on-call rotations.
Collaboration with Agile squads, senior engineers, product managers, and global reliability engineering peers.
Medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and wellness program benefits may be available.
Work hours vary according to department needs.
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