Назад
Company hidden
обновлено 18 часов назад

Software Engineer Lead (MLOps)

86 250 - 172 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Software Engineer Lead (MLOps): Building secure, scalable cloud infrastructure, automation, and data processing platforms with an accent on MLOps, DevOps, and enterprise cloud operations. Focus on deploying machine learning models, developing batch and real-time pipelines, and leading complex technical initiatives across production systems.

Location: Firstside Center Bldg, Pittsburgh, Pennsylvania; other locations include Strongsville Technology Center, Ohio, and Dallas Innovation Center, Texas. In-office position in the United States.

Base salary: $86,250.00–$172,500.00 per year; incentive-eligible.

Company

hirify.global is a financial services organization developing enterprise software, data, automation, and cloud capabilities.

What you will do

  • Create and lead the technical design and development of software solutions for complex business needs.
  • Build and support batch and real-time data processing pipelines using Python, Spark, Kafka, Airflow, and cloud-based data services.
  • Support cloud infrastructure, automation, platform operations, and MLOps capabilities across Azure, AWS, or comparable cloud platforms.
  • Develop model deployment pipelines and operationalize AI/ML platforms and data-driven solutions.
  • Apply CI/CD, infrastructure as code, Kubernetes/OpenShift, containerization, monitoring, and cloud security practices.
  • Lead complex technical initiatives, guide colleagues, resolve problems, and influence architectural decisions across organizational boundaries.

Requirements

  • 3+ years of relevant or direct industry experience; a comparable combination of education, job-specific certifications, and experience may be considered instead of a degree.
  • Bachelor’s degree or equivalent qualifying education and experience.
  • Experience with MLOps platforms, model deployment pipelines, AI/ML operationalization, and data-driven platforms.
  • Experience with Python, Spark, Kafka, Airflow, and cloud-based data services for batch and real-time processing.
  • Deep expertise in Azure cloud services, DevOps practices, platform engineering, and automation; AWS or a comparable cloud platform is also applicable.
  • Experience with CI/CD, infrastructure as code, Kubernetes or OpenShift, containerization, monitoring, and cloud security.
  • Ability to lead complex technical initiatives, influence architecture, manage stakeholders, troubleshoot, solve problems, and collaborate across organizational boundaries.
  • Demonstrated ownership of mission-critical production systems and enterprise-scale platforms.
  • Knowledge of Agile methodology, Apache Hadoop, SQL, software development, system and technical design, application delivery, testing, integration, and the software development life cycle.

Culture & Benefits

  • Inclusive, supportive in-office workplace focused on customer service, risk management, and employee contribution.
  • Medical, prescription, dental, vision, life insurance, disability protection, and a health savings account option.
  • 401(k) matching, pension, stock purchase plans, dependent care support, and eligible family-care reimbursements.
  • Educational assistance, including selected fully paid programs, plus a wellness program with financial incentives.
  • Paid holidays, occasional absence days, maternity and parental leave, and 15–25 vacation days depending on career level and service.
  • No employment visa sponsorship or STEM OPT participation for this position.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →