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Principal Software Engineer - Data Storage Domain Lead

SciTec
Huntsville, USA
Full-time
Senior · 10+ years experience
Onsite
Discovered 2 weeks ago
awselasticsearchjavakuberneteslinuxmongodb

Full Job Posting

Responsibilities

  • Assess current storage technologies, data access patterns, recurring problems, and capability gaps across engineering teams.
  • Define evaluation criteria and use benchmarks against representative workloads to select and maintain a Core Collection of recommended storage technologies, patterns, and practices.
  • Document recommended technologies, valid alternatives, and exceptional cases through decision guides, reference architectures, architecture decision records (ADRs), and tuning and troubleshooting guides.
  • Build and maintain validated reference implementations, starter templates, and reusable configurations for common storage use cases.
  • Guide data modeling, schema design, indexing, query planning, and performance optimization.
  • Advise on transactional behavior, isolation, consistency, durability, and concurrency.
  • Establish practices for caching strategies, eviction policies, cache invalidation, and hot-key management.
  • Guide search and document indexing, ingestion patterns, and index lifecycle management.
  • Guide object storage organization, lifecycle policies, and access patterns.
  • Lead replication, partitioning, capacity planning, backup and recovery, and failure analysis efforts.
  • Partner with engineers through pair programming, design and code reviews, troubleshooting, and focused workshops to support consistent adoption of recommended practices.
  • Collaborate with Workload Communications and Deployment Environments domain leads on cross-domain problems such as connection pooling, consumer lag, and end-to-end throughput and latency.
  • Periodically reassess and update recommendations and documentation as technologies, workloads, and engineering needs change.
  • Track adoption and engineering outcomes against established baselines and report results to engineering leadership.
  • Perform other duties as assigned.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Physical Sciences, or a related technical field.
  • 10+ years of professional experience designing, implementing, and troubleshooting production software systems, including significant experience with data storage systems.
  • Deep expertise with one or more relational databases (e.g., PostgreSQL, MySQL), including schema design, query and index optimization, and transactional behavior.
  • Production experience with one or more of: search/document stores (Elasticsearch, OpenSearch, MongoDB), caches (Redis, Memcached), or object storage (AWS S3, Garage, or similar).
  • Strong understanding of distributed storage concepts, including replication, partitioning, consistency models, and recovery.
  • Demonstrated ability to build prototypes, conduct benchmarks, analyze results, and turn findings into actionable recommendations.
  • Experience evaluating technical alternatives and clearly articulating tradeoffs among latency, throughput, scalability, availability, consistency, cost, and operational complexity.
  • Proficiency in at least one backend language such as Python, Go, Java, C++, or TypeScript/Node.js.
  • Comfortable working in Linux development environments.
  • Strong technical writing, mentoring, and cross-team communication skills, with the ability to influence engineering practices through technical credibility.
  • Ability to obtain and maintain a DoD security clearance.
  • Candidates with the following qualifications will be preferred:
  • Experience leading technology standardization, technical governance, or internal platform/guidance efforts across multiple teams.
  • Experience operating storage systems in containerized or Kubernetes environments.
  • Experience with storage performance profiling and observability tooling.
  • Experience with data storage for high-volume sensor or mission data workflows.
  • Active DoD Secret clearance or higher.
  • Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment.
  • Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information

Benefits

  • SciTec offers a highly competitive salary and benefits package, including:
  • 4% Safe Harbor 401(k) match
  • 100% company paid HSA Medical insurance, with a choice of 2 buy-up options
  • 80% company paid Dental insurance
  • 100% company paid Vision insurance
  • 100% company paid Life insurance
  • 100% company paid Long-term Disability insurance
  • Short-term Disability insurance
  • Annual Profit-Sharing Plan
  • Discretionary Performance Bonus
  • Paid Parental Leave
  • Generous Paid Time Off, including Holiday, Vacation, and Sick Pay
  • Flexible Work Hours
  • The pay range for this position is $151,000 - $201,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation.
  • SciTec is proud to be an Equal Opportunity employer. VET/Disabled.

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