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Dynanet Corporation
Dynanet Corporation
51 – 200 Darbinieki
H1B vīzas sponsorsKonsultācijasLoģistikaVeselības aprūpe
Dynanet Corporation ir tehnoloģiju konsultāciju uzņēmums, kas palīdz organizācijām modernizēt kritiski svarīgas sistēmas un uzlabot tehnoloģiju atbalstu to misijai un uzņēmējdarbības mērķiem. Uzņēmuma darbība aptver lietojumprogrammu pakalpojumus, mākoņdatošanas iespēju ieviešanu, kiberdrošību, DevSecOps, mantoto sistēmu modernizāciju, robotizētu procesu automatizāciju un uz cilvēku vērstu dizainu. Dynanet izmanto 4D izstrādes metodoloģiju, lai sasaistītu IT ieguldījumus ar izmērāmiem organizācijas rezultātiem, pielāgojot risinājumus klientu vajadzībām, tostarp federālajām aģentūrām un veselības aprūpes un loģistikas organizācijām. Uzņēmums apvieno strukturētus izstrādes procesus ar rūpīgu uzmanību cilvēkiem, sadarbībai un katra klienta darbības realitātei.
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Vakances uzņēmumā

Data Architect – Hybrid in Washington, DC

Design secure, scalable cloud database architectures for Dynanet Corporation’s enterprise, AI, and LLM workloads. Lead relational, NoSQL, and vector database strategy across end-to-end systems.

USAmerikas Savienotās ValstisWAVašingtonaHibrīdiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuDatu inženieris
AWSAzureCassandraDynamoDBMākonisMongoDBMySQLNoSQLOraclePostgresSQL

Apraksts

  • Architect and implement cloud-native solutions using relational, NoSQL, and vector database technologies
  • Create and refine data models, schemas, indexes, and storage patterns for scale and performance
  • Build and operate vector databases for similarity search, recommendations, and AI inference
  • Partner with AI/ML, application, and platform engineering teams on integrated data systems
  • Maintain availability, disaster recovery, security, and compliance across database platforms
  • Improve cloud database cost efficiency, performance, and operational reliability
  • Set up monitoring, alerting, backups, and automation for database operations
  • Offer technical direction, documentation, and database best practices to engineering teams
  • Assess evolving requirements and recommend suitable database technologies and cloud services
  • Handle team and client requests through email, Microsoft Teams, or other channels during core business hours

Prasības

  • At least five years of hands-on experience designing and supporting database systems
  • Five to eight years of strong experience with relational databases such as PostgreSQL, MySQL, Oracle, SQL Server, or Amazon Aurora
  • Advanced SQL skills with a solid grasp of query optimization and performance tuning
  • Knowledge of data security, encryption, access controls, and compliance obligations
  • Ability to convert business and application needs into scalable data architectures
  • Experience applying DevOps or DataOps practices
  • Experience with LLM platforms, including OpenAI, Azure OpenAI, Amazon Bedrock, or Hugging Face
  • Experience designing high-throughput, low-latency systems
  • Hands-on experience with NoSQL databases such as MongoDB, DynamoDB, Cassandra, or Couchbase
  • Practical experience with vector databases and similarity search, including Pinecone, Milvus, Weaviate, pgvector, or OpenSearch/Elastic vector search
  • Experience supporting AI and LLM applications involving embeddings, retrieval-augmented generation, and inference pipelines
  • Experience with AWS, Azure, and/or Google Cloud
  • Bachelor’s degree in computer science, information technology, or a related field
  • Strong written and verbal communication abilities
  • Highly organized and able to manage multiple competing priorities
  • Professional, collaborative communication with teammates, clients, and business partners
  • Sound judgment and creative problem-solving ability
  • Active listening and effective collaboration skills
  • Availability to respond to requests during core business hours

Priekšrocības

  • Competitive industry compensation
  • Medical and dental insurance
  • Paid time off and holidays
  • 401(k) retirement plan with employer matching
  • Remote work options*
  • Paid training
  • Employee referral program
  • Employee development program

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