Design, deploy, and maintain large-scale database platforms. Optimize performance through query tuning and indexing strategies. Build Python-based automation and tooling to streamline operational workflows.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Systems & Database Engineer – Production Services (Jr level)
Greater Philadelphia Area (100% Onsite) - relocation options
US or Green Card only
Full name and city/state of residence required on all resumes
We're looking for a Systems & Database Engineer who brings a blend of database and systems engineering skills. This is a position of opportunity for an eager, early-stage career CS grad who understands how databases interact with applications, infrastructure, and distributed systems to deliver exceptional performance, reliability, and scalability.
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What You'll Do
✅ Design, deploy, and maintain large-scale database platforms
✅ Optimize performance through query tuning, indexing strategies, execution plan analysis, and schema design
✅ Build Python-based automation and tooling to streamline operational workflows and improve system reliability
✅ Architect and support high-availability solutions, including replication, failover, and disaster recovery
✅ Manage and scale containerized database workloads in Kubernetes
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✅ Monitor platform health and proactively address performance bottlenecks using observability tools
Required Qualifications
- Completion of a Bachelor's degree in Computer Science, Information Systems, or technology field
- 1-3 years of experience in database engineering, systems engineering including designing, maintaining, or owning database infrastructure.
- Strong proficiency in core SQL and deep working knowledge of relational databases, complex query manipulation, indexing, partitioning, replication, and high availability.
- Solid Python development skills — able to write production-quality scripts and tooling, not just one-off automation.
- Good understanding of Kubernetes — deploying, managing, and debugging containerized workloads.
- Strong Linux fundamentals — shell scripting, process management, system monitoring, and core command-line fluency.
- Comfort operating in a production environment — you handle pressure well and take ownership of reliability.
- Working knowledge of AI tools and best practices for engineering workflows.
- Completion of internships, co-op programs or hands on work experience is welcomed!
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