Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Очень мало
$86к-173к/год
$190к$240кмедиана$270к
По похожим ролям (20) ~ $240к/год
54
Средняя вакансия
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В роли есть актуальные задачи в облачной инфраструктуре и MLOps, а также сильный пакет льгот, но широкий круг обязанностей и зарплата значительно ниже рыночного ориентира снижают привлекательность.
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Ниже рынкаШирокий охватАктуальные технологииХорошие льготыТолько офис
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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