Application Developer

Job Description

Quevera is seeking an

Application Developer t

o 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.

Required Experience: 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

Desired Experience

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.

Quevera is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age or any other characteristic protected by law.