5 дней назад
Principal Database Platform Engineer (AI)
143 000 - 186 330$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Database Platform Engineer (AI): Building and operating cloud-native database platforms on AWS for data products, analytics, and AI capabilities with an accent on scalability, resilience, automation, security, and cost efficiency. Focus on designing reusable multi-cloud platform standards, optimizing database performance, enabling AI data architectures, and leading reliability and architecture practices.
Location: Boston or Atlanta, United States
Base salary: $143,000–$186,330 per year, depending on location, experience, and skills. Total compensation also includes a discretionary bonus of up to 20% and retirement contributions.
Company
is a global consulting firm delivering business strategy, technology, design, and digital transformation solutions.
What you will do
- Design and operate cloud-native database platforms on AWS with a focus on scalability, resilience, and cost efficiency.
- Build self-service infrastructure capabilities using Terraform, CI/CD, and Git-based workflows.
- Define reusable platform patterns, standards, guardrails, and secure-by-design practices across a multi-cloud environment.
- Implement SRE practices including observability, performance tuning, incident response, and database reliability engineering.
- Partner with architecture, application, data, security, and infrastructure teams to deliver practical platform solutions.
- Evaluate emerging database technologies and enable AI, analytics, vector search, and modern data architecture use cases.
Requirements
- 8–10 years of experience in database, platform, or infrastructure engineering.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Production experience with PostgreSQL and AWS-managed database services such as DynamoDB and OpenSearch.
- Hands-on experience with Terraform and CI/CD pipelines for infrastructure automation.
- Strong understanding of database performance at scale, including query optimization, indexing, and data distribution.
- Ability to work independently, communicate technical trade-offs clearly, and mentor engineers.
Nice to have
- Experience with Azure or GCP in addition to AWS.
- Familiarity with Neptune, DocumentDB, MongoDB, or other graph, document, and NoSQL databases.
- Experience with vector search, pgvector, RAG pipelines, embedding stores, Databricks, or BigQuery.
- Knowledge of cloud security, FinOps, SRE, TOGAF, architecture reviews, or relational databases such as MSSQL and Oracle.
Culture & Benefits
- Collaboration across global, cross-functional teams and disciplines.
- Zero-dollar health insurance premiums for employees and eligible family members.
- Dental, vision, fitness, parental leave, family benefits, and paid sick time.
- Retirement contributions, including profit sharing and access to a 401(k) plan.
- Paid time off including 12 holidays, an annual office closure, and 15 vacation days per year.
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