Hire Cassandra Experts | Nearshore Software Development

Apache Cassandra is a free and open-source, distributed, wide-column store, NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. You need an expert who can leverage Cassandra's unique architecture to build a massively scalable and resilient application. Our vetting process, powered by Axiom Cortex™, finds engineers who are masters of distributed databases. We test their ability to design a query-driven data model, tune performance, and manage a large-scale Cassandra cluster.

Is your database struggling to handle your write-heavy workload?

The Problem

Traditional relational databases can struggle to handle high-velocity, write-heavy workloads, leading to performance bottlenecks and scalability issues.

The TeamStation AI Solution

We vet for engineers who are experts in Cassandra's log-structured merge-tree (LSM) architecture. They must demonstrate the ability to design a data model and a cluster that can handle a massive volume of writes with low latency and linear scalability.

Proof: Massively Scalable Write Throughput
Is your application at risk of downtime due to a database failure?

The Problem

A single database failure can take down your entire application, leading to a poor user experience and lost revenue. Traditional master-slave architectures have a single point of failure.

The TeamStation AI Solution

Our engineers are proficient in Cassandra's peer-to-peer, masterless architecture. They are vetted on their ability to design and manage a multi-datacenter Cassandra cluster that is fault-tolerant and provides continuous availability, even in the face of network partitions or server failures.

Proof: Continuous Availability and Fault Tolerance

How We Measure Seniority: From L1 to L4 Certified Expert

We don't just match keywords; we measure cognitive ability. Our Axiom Cortex™ engine evaluates every candidate against a 44-point psychometric and technical framework to precisely map their seniority and predict their success on your team. This data-driven approach allows for transparent, value-based pricing.

L1 Proficient

Guided Contributor

Contributes on component-level tasks within the Apache Cassandra domain. Foundational knowledge and learning agility are validated.

Evaluation Focus

Axiom Cortex™ validates core competencies via correctness, method clarity, and fluency scoring. We ensure they can reliably execute assigned tasks.

$20 /hour

$3,460/mo · $41,520/yr

± $5 USD

L2 Mid-Level

Independent Feature Owner

Independently ships features and services in the Apache Cassandra space, handling ambiguity with minimal supervision.

Evaluation Focus

We assess their mental model accuracy and problem-solving via composite scores and role-level normalization. They can own features end-to-end.

$30 / hour

$5,190/mo · $62,280/yr

± $5 USD

L3 Senior

Leads Complex Projects

Leads cross-component projects, raises standards, and provides mentorship within the Apache Cassandra discipline.

Evaluation Focus

Axiom Cortex™ measures their system design skills and architectural instinct specific to the Apache Cassandra domain via trait synthesis and semantic alignment scoring. They are force-multipliers.

$40 / hour

$6,920/mo · $83,040/yr

± $5 USD

L4 Expert

Org-Level Architect

Sets architecture and technical strategy for Apache Cassandra across teams, solving your most complex business problems.

Evaluation Focus

We validate their ability to make critical trade-offs related to the Apache Cassandra domain via utility-optimized decision gates and multi-objective analysis. They drive innovation at an organizational level.

$50 / hour

$8,650/mo · $103,800/yr

± $10 USD

Pricing estimates are calculated using the U.S. standard of 173 workable hours per month, which represents the realistic full-time workload after adjusting for federal holidays, paid time off (PTO), and sick leave.

Core Competencies We Validate for Apache Cassandra

Cassandra architecture and data model (keyspaces, tables, partitions)
Query-driven data modeling with CQL
Consistency levels and the CAP theorem
Performance tuning (compaction, caching)
Cluster management and monitoring

Our Technical Analysis for Apache Cassandra

The Cassandra evaluation focuses on building highly scalable and available systems. Candidates are required to design a data model for a write-heavy application, demonstrating their understanding of Cassandra's query-driven modeling approach. A critical assessment is their ability to reason about consistency levels and the trade-offs between consistency, availability, and performance. We also test their knowledge of how to tune and operate a Cassandra cluster in a production environment. Finally, we assess their experience with the Cassandra driver and how to integrate it into an application.

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