Database Engineer – Professional Archive Search

🕒 Abril 22

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $113.000 - $146.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🔙 Engenheiro Backend

🦅 Patrocina Visto H1B

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Smarsh

1001 - 5000 funcionários

Fundada em 2001

💼 Consultoria

🏥 Saúde

🛡️ Seguros

💰 Private Equity Round em 2016-01

Consulting • Healthcare • Insurance

A Smarsh é a líder global em dados e inteligência de comunicações, focada em conformidade com comunicações digitais e gestão de riscos em indústrias regulamentadas. Com mais de duas décadas de experiência, a Smarsh oferece soluções habilitadas por IA para desbloquear insights de negócios a partir de dados de comunicação em grande escala. Confiada por 95% das principais empresas financeiras e gerenciando bilhões de mensagens mensalmente, a Smarsh oferece serviços como captura de chat, arquivamento de e-mails e vigilância de riscos digitais. Suas plataformas são projetadas para atender às necessidades diversificadas e em evolução dos serviços financeiros, governo, saúde e outras indústrias, aumentando a produtividade e garantindo conformidade com os desafios de governança da comunicação digital.

Descrição

• Support and empower your team by contributing to a collaborative, inclusive, and respectful work environment • Partner with engineers and stakeholders across teams to design and implement scalable data solutions • Participate in a shared on-call rotation to support system reliability and incident response with a focus on learning and prevention • Collaborate with Product and Engineering to define technical requirements, timelines, and deliverables • Apply modern engineering practices, including Agile methodologies, CI/CD pipelines, and DevOps principles • Review code and database changes, identify areas for improvement, and help reduce technical debt • Troubleshoot and resolve production issues to maintain high availability and performance • Continuously learn about emerging technologies and evaluate how they can benefit the team • Monitor database health and performance using tools such as Splunk, Datadog, and Grafana

🎯 Requisitos

• Experience working in a modern private cloud-based environment and familiarity with distributed systems • Exposure to some of our technology stack, along with a willingness to learn new tools and technologies • Experience designing logical and physical data models, including schema design and data relationships • Ability to monitor and optimize database performance, including tuning queries and indexing strategies • Understanding of data security practices such as encryption, access controls, and auditing • Experience troubleshooting database issues and supporting systems that require high availability • Ability to plan for data growth and scale infrastructure to meet future needs • A collaborative mindset, with openness to feedback and different perspectives • Understanding of modern development practices and Agile methodologies • Ability to communicate progress, challenges, and ideas clearly • Comfort working in evolving environments where requirements may change over time • A proactive approach to problem-solving and cross-functional collaboration

🏖️ Benefícios

• Healthcare insurance: We provide medical, dental, and vision insurance, and a flexible spending account that allows you to set aside pre-tax dollars to pay for eligible out-of-pocket expenses. • Stock options. • Personal time off: A healthy work-life balance is critical to your success at the office. Smarsh offers a “take-what-you-need” time off policy as well as flexible work arrangements. • 401K Match: Smarsh provides a 4% 401K match for which employees are fully vested on day one. • Sabbatical: The Smarsh sabbatical programme provides a time to recharge, study or simply do something you are passionate about away from the workplace. Employees are eligible after six years of service. • Recognition: We’re big on kudos for a job well done. Our employee-recognition programme enables co-workers to nominate their peers who best embody our core values for recognition.

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