About The Position

Quevera is seeking an Application Developer to join our team. At Quevera, we don’t just offer jobs—we provide opportunities to be part of a dynamic, forward-thinking community that fosters innovation, collaboration, and personal growth. You’ll work with industry experts, take on exciting challenges, and have the creative freedom to build cutting-edge solutions, all while advancing your career in a space that truly values your skills and ideas. HIGHLIGHT'S OF WORKING FOR QUEVERA: Quevera employees voted Quevera as a TOP EMPLOYER in the Baltimore /DC area by the Washington for 2025 for the 5th consecutive year! Excellent Quevera's Benefits: Medical/Dental/Vision (100% Employer Paid Medical Plan) Short/Long Term Disability (Employer Paid) Life Insurance (Employer Paid) Yearly $5,000 towards education/training/certification. Employees are in control of their career path through our Career Pathway Program. Employer paid Company Vacation Package for you and a guest! Retirement: Quevera will match up to 6% towards your 401K and an additional 4% profit sharing! REQUIRED - MUST have a current TS/SCI Polygraph clearance to apply for role. Only those with a current TS/SCI with Poly clearance will be considered.

Requirements

  • SUBJECT MATTER EXPERT
  • Demonstrated experience building and maintaining scalable front-end applications using React and TypeScript, with a solid understanding of component-based architecture, state management, and hooks.
  • Demonstrated experience managing application state using MobX or other state management libraries or solutions within a TypeScript/React environment.
  • Demonstrated experience understanding Node.js; to include competency in developing backend services and APIs using Node.js, with the ability to switch to backend work and integrate front-end with server-side code as required.
  • Demonstrated experience with Elasticsearch; to include designing search functionalities, analytics, including querying, indexing, mappings, analyzers, tokenization, bulk indexing, search DSL, aggregations, reindexing, snapshots, ILM, performance tuning, working with large datasets. Managing at scale: cluster topology, shard sizing, replica strategy, resource limits, JVM tuning, recovery practices. Shard sizing strategy, reallocation, recovery tuning, snapshot impact, and performing rolling upgrades.
  • Demonstrated experience with Database Management with RDS (Relational Database Service); to include proficiency in working with relational databases, specifically with Amazon RDS or similar services, including writing SQL queries, optimizing performance, and integrating with backend applications.
  • Demonstrated experience with version control systems (such as Git) and familiarity with continuous integration/continuous deployment (CI/CD) pipelines to efficiently manage codebase and deployments.
  • Demonstrated experience building and operating ETL (extract, transform, load) pipelines for very large datasets (terabytes to petabytes), with production-grade reliability.
  • Demonstrated experience in TypeScript/JavaScript for backend development (Node.js frameworks like Express, async/await, Promises) and familiarity with the Elasticsearch JS/TS client.
  • Demonstrated experience scripting and programming, with strong skills in Python, Bash, or Go for automation, tooling, data processing and runbook scripting.
  • Demonstrated experience with SQL and experience optimizing complex queries where relevant to upstream data modeling.
  • Demonstrated experience with the ability to evaluate trade-offs between latency, throughput and infrastructure cost, including index retention and storage tiers (Cost-aware mindset).
  • Demonstrated experience with extensive Terraform experience; authoring modules, composition patterns, managing remote state backends and locks (S3), workspaces, provider/version locking, and writing idempotent infrastructure.
  • Demonstrated experience with AWS (Amazon Web Service) networking mastery; to include VPC design, subnets, route tables, IGW, NAT, Transit Gateway, VPC Peering, PrivateLink, VPC endpoints, security groups, NACLs, Direct Connect, VPN and load balancers (NLB/ALB).
  • Demonstrated experience with CI/CD and automation: Git-based workflows, Terraform pipelines (GitHub Actions, GitLab CI, Jenkins).
  • Demonstrated experience with TLS, encryption at rest, IAM (identity and access management) policies or roles, secrets management (Vault, AWS Secrets Manager), network segmentation, audit logging and compliance controls.
  • Demonstrated experience with performance tuning: JVM heap sizing, GC tuning, file descriptors/ulimits, OS settings (vm.max_map_count), thread pools, merge and refresh tuning, and bulk/ingest optimizations.
  • Demonstrated experience with disaster recovery and capacity planning for large data sets, including tested backup/restore procedures and runbooks.
  • Demonstrated experience with problem-solving, performance tuning capabilities for ETL jobs, Node.js backends, collaboration skills, with the ability to work across all layers of the stack, collaborate effectively with cross-functional teams, analytics and SRE teams, ability to adapt to evolving project requirements.
  • Demonstrated experience with security and cost optimization patterns (right-sizing, reserved instances/savings plans, tiered storage).
  • Demonstrated experience with strong troubleshooting skills using ES APIs (_cluster/health, _cat,_nodes, _segments, _recovery, _stats), logs, JVM GC analysis, thread-pool diagnostics, and OS-level metrics

Nice To Haves

  • Demonstrated experience with Apache NiFi for flow-based ingestion and provenance-driven data movement.
  • Demonstrated experience with schema evolution strategies, mapping conflicts, versioning, and automated reindex pipelines.
  • Demonstrated experience with data modeling, metadata management and catalog tools.
  • Demonstrated experience with strong communication skills and working cross-functionally with product, analytics and SRE teams.
  • Demonstrated experience working across all layers of the stack when needed, demonstrate problem-solving skills, collaborate effectively with cross-functional teams, and adapt to evolving project requirements.
  • Demonstrated experience running production-critical distributed systems.

Benefits

  • Medical/Dental/Vision (100% Employer Paid Medical Plan)
  • Short/Long Term Disability (Employer Paid)
  • Life Insurance (Employer Paid)
  • Yearly $5,000 towards education/training/certification.
  • Employees are in control of their career path through our Career Pathway Program.
  • Employer paid Company Vacation Package for you and a guest!
  • Quevera will match up to 6% towards your 401K and an additional 4% profit sharing!
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