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Db Systems Jobs (NOW HIRING)

Sarian Solutions

Mongo DB Developer

Plano, TX

Mongo DB Developer Location: Plano, TX Duration: Full-Time 7 to 10 years of application programming ... Distributed systems and virtualization experience. Deep understanding of NoSQL Database and Big ...

Kaav Inc.

Tech Project Manager

Seattle, WA

Experience in working with distributed Unix or Linux-based systems, J2EE Application Servers, clustered DB systems and source control systems need to have * payments/fraud experience Required Skills

Atria Group LLC

Mongo DB

Sunnyvale, CA · On-site

... engineering, systems development, testing, integration, and implementation, and management ... Good knowledge on data reads and writes and handle real time data flow to Mongo db is required,

Seven Seven Software

DB Security Admin

Jersey City, NJ · On-site

Looking for 1 more DB security Admin with 3+ years of experience. The Resource will be required to ... Working knowledge of operating systems and one or more DBMS (MSSQL, Oracle,DB2, PostgreSQL Redshift ...

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How much do db systems jobs pay per year?

As of Jun 1, 2026, the average yearly pay for db systems in the United States is $102,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Database Systems (DB Systems) professional, and why are they important?

To thrive as a Database Systems professional, you need strong skills in database design, SQL, data modeling, and a relevant degree in computer science or information technology. Proficiency with database management systems such as Oracle, Microsoft SQL Server, MySQL, and familiarity with backup, recovery, and security tools is typically required, along with certifications like Oracle Certified Professional or Microsoft Certified: Azure Database Administrator Associate. Analytical thinking, problem-solving abilities, and effective communication are important soft skills for diagnosing issues and collaborating with cross-functional teams. These skills and qualities ensure data integrity, system reliability, and efficient support of business operations.

What are some common challenges faced by professionals working in DB Systems roles, and how can they be managed effectively?

Professionals in DB Systems roles often encounter challenges such as maintaining database performance as data volume grows, ensuring data security, and managing system downtime or failures. Effective strategies include proactively monitoring system health, regularly updating and patching database software, and implementing robust backup and disaster recovery plans. Collaborating closely with application developers and IT support teams also helps address issues quickly and maintain smooth operations. Continuous learning and staying updated with new database technologies can further enhance problem-solving capabilities.

What are Db Systems?

Db Systems, short for Database Systems, are organized collections of data and the software tools used to manage, store, retrieve, and manipulate that data efficiently. These systems allow users and applications to interact with data in a structured way, supporting operations such as querying, updating, and administration. Db Systems can range from small, single-user databases to large, enterprise-level solutions that support thousands of users and vast amounts of data. They are essential in various industries for managing information securely and reliably.

What is the difference between Db Systems vs Database Administrator?

AspectDb SystemsDatabase Administrator
CertificationsTypically requires certifications like Microsoft Certified: Azure Database Administrator Associate or Oracle Database certificationsOften holds certifications such as Oracle DBA, Microsoft Certified: SQL Server Database Administrator
Work EnvironmentFocuses on designing, implementing, and managing database systems, often in IT or software development teamsManages day-to-day database operations, maintenance, and security within organizations
Industry UsageUsed across tech, finance, healthcare, and any industry relying on database systemsCommonly employed in organizations with large data management needs

Db Systems professionals focus on designing and implementing database solutions, while Database Administrators handle ongoing management and maintenance. Both roles require similar certifications and are integral to data management in various industries.

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Db Systems jobs near you
Artificial Intelligence (AI) Engineer - Backend Focus

Artificial Intelligence (AI) Engineer - Backend Focus

ExpediteInfoTech Inc

Rockville, MD • Remote

Other

Posted 24 days ago

Job description

Job Title: Artificial Intelligence (AI) Engineer - Backend Focus
Client: Federal Government
Location: Remote with occasional travel to the client site in Baltimore. Candidates must currently live within a commutable distance of the office.
Employment Type: W2 on ExpediteInfoTech's payroll. This position requires a Permanent resident or a U.S. citizen. The selected candidate will go through a Public Trust Clearance process.
About ExpediteInfoTech: ExpediteInfoTech is a trusted federal contractor focused on leveraging emerging technologies to modernize systems, enhance security, and drive operational efficiency across government agencies. We work with clients across AI/ML, RPA, Cloud, Enterprise Architecture, Cybersecurity, Health IT infrastructure, and Federal Financial systems-all delivered through a hands-on, collaborative, results-driven approach. Our core values are collaborative innovation, quality service, and exceeding expectations. https://expediteinfotech.com/)
Position Summary: A backend-focused AI engineer responsible for developing secure, scalable, and production-grade AI applications, with deep experience in LLM integration, retrieval-augmented generation (RAG) pipelines, including Graph-RAG, Agentic AI, and cloud-based LLM Ops workflows. The role emphasizes Amazon SageMaker Studio, ECS, ECR, lambdas, Agentic Core, APIs, OpenSearch Vector DB, and Dynamo DB for operationalizing GenAI-powered Digital Products within FedRAMP-compliant AWS environments.
Responsibilities:
AI Solution Development:
  • Expert hands-on building of RAG and Graph-RAG architectures to handle multiple complex data formats (PDF, images, tables, Word documents, Excel, acronyms, attachments, etc.) to create cleansed standardized data for hydration into a vector database.
  • Expert hands-on knowledge on text embeddings, image embeddings, chunking logic, metadata creation, and embedding vectors indexing.
  • Expert hands-on knowledge in creating a highly accurate RAG retrieval system with knowledge on reranking, semantic search, similarity search, hybrid search, etc., to search by text or images.
  • Implement secure, scalable, highly accurate RAG, Agentic AI pipelines using LangChain, Strands, MCP, A2A frameworks, or AWS-native services like Bedrock, Agentic Core, OpenSearch Vector Database, and Knowledgebase.
  • Create backend infrastructure for chatbot applications with long-term and short-term memory capabilities to improve user experience.
  • Hands-on knowledge of creating APIs, Graph-RAG, develop agentic AI workflows with MCPs, A2A, and Skills.
AI/ML Skills:
  • Experience operationalizing AI/ML pipelines in SageMaker Studio with model governance
  • Experience with Amazon - Bedrock, Agentic Core, OpenSearch Vector Database, knowledgebase, lambda, API Gateway, FASTAPIs or Flask, SQS, SNS, Step functions, DynamoDB, RDS/Postgres SQL, ECS, ECR, IAM, CloudWatch, and EKS or Fargate.
  • Frameworks: LangChain, LangFuse, LlamaIndex, Strands, RAGAS, CrewAI, MCP, and A2A.
  • Prompt engineering, LLM evaluation methodologies, bias detection, and hallucination detection.
LLM Integration & LLM Ops:
  • Integrate multiple LLMs via APIs (AWS Bedrock: Anthropic - Claude, Titan, Llama, Stability Diffusion models)
  • Implement structured prompt engineering frameworks, response evaluation tools, and feedback loops
  • Build model optimization layers, including prompt selectors, model switchers, and cache layers
Cloud Infrastructure & Deployment:
  • Deploy AI services using SageMaker, ECS, Lambdas, Agentic Core, and Elastic Load Balancers
  • Containerize backend systems with Docker and deploy to scalable environments using ECS/EKS
  • Implement CI/CD pipelines via GitHub Actions integrated with AWS Systems Manager and CodePipeline
  • Architect solutions for VPC isolation, IAM hardening, and FedRAMP High compliance
System Integration & Maintenance:
  • Integrate AI workflows with enterprise databases, legacy platforms, and identity providers
  • Monitor service performance, GPU utilization, and system health via CloudWatch and custom logging
  • Build automated testing pipelines for model accuracy, bias detection, and system robustness
  • Maintain technical documentation and developer runbooks for long-term system support
Work Environment:
  • Remote-first with collaborative engagements and occasional client travel
  • Mission-focused development aligned with executive priorities
  • Continuous learning and rapid prototyping of cutting-edge AI technologies
  • Agile delivery culture with strong cross-functional collaboration
Required:
Required / Minimum Qualifications
  • 10+ years of IT experience.
  • 3+ years of experience as an AI Engineer
  • 3+ years of experience in AWS
  • AWS Services: Graph RAG, Bedrock Agentic Core, Agentic AI, EC2 (GPU-enabled), SageMaker (Studio, Pipelines, Endpoints, Model Registry), Bedrock, OpenSearch Vector DB, Systems Manager, Load Balancers, Amazon - Bedrock, OpenSearch Vector Database, knowledgebase, lambda, API Gateway, FASTAPIs or Flask, SQS, SNS, Step functions, DynamoDB, RDS/Postgres SQL, and EKS or Fargate
  • Proficient in coding: Python (async, FastAPI, LangChain, Transformers) and Terraform
  • DevSecOps: Docker, GitHub, GitHub Actions, CI/CD pipelines
  • Cloud-Native Development: Infrastructure-as-Code, cloud monitoring, and security policies
Preferred:
Preferred / Nice-to-Have Qualifications
  • Experience with React or other frontend frameworks for full-stack AI interfaces (Streamlit, ReactJS, JavaScript, Typescript, HTML, and CSS)
  • Government/federal sector AI solution experience with FedRAMP High or FISMA
  • Bachelor's or equivalent in Computer Science, Software Engineering, AI/ML, or related technical field
  • AWS certifications (Machine Learning Specialty, Solutions Architect) a strong plus
  • Experience using AI coding assistant tools like OpenAI Codex and Claude Code.

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