This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

We’re looking for an experienced Staff Engineer to support our customers and join our passionate team of high-impact problem solvers.

About the role:

As a Staff Engineer, you are a beacon of knowledge and a go-to person for complex challenges. Your role is pivotal in decision-making processes, high-level architecture designs, and setting the course for technical excellence within teams. You're expected to think critically, solve intricate problems, and mentor Senior and below Engineers.

Raft is building a real-time data platform for the Department of Defense (DoD), aimed at enhancing operators' awareness of critical events, including instances like the Chinese balloon and Cessna over the White House incidents. Central to this data platform is the aggregation of real-time data from over 750 sensors. This data is subsequently enriched, rendered queryable, and ultimately presented as a common operational picture to empower operators in making time critical and pertinent decisions. Our system efficiently handles the processing of over a billion events daily, all achieved with millisecond-level latency. Key technologies include Kafka, Kafka Streams, Pinot, Java, Scala, and Kubernetes. Your involvement in this role will encompass hands-on collaboration with a team of accomplished individuals, collectively striving towards excellence.

Build data infrastructure and platforms using streaming frameworks such as Apache Kafka, Flink, and Kafka Streams
Build Extract, Transform, Load (ETL) pipelines to enable comprehensive data operations
Leverage software engineering principles to architect, develop, and implement large scale streaming applications

What we are looking for:

Five plus years of relevant hands-on industry experience
In-depth experience with building and managing fault-tolerant, data-intensive platforms using popular streaming technologies such as Kafka, Pinot, or Flink
Experience with large-scale relational and non-relational databases such as PostgreSQL, MySQL, MongoDB, and Elasticsearch to handle low-latency requirements
Working experience in data management including ETL processing, data governance, and data storage
Experience with building and releasing software in cloud-native environments
Experience using a variety of package managers/dependency managers including Maven, Gradle, and NPM
Deep knowledge of software design and architecture patterns
Obtain Security+ certification within the first 90 days of employment with Raft

Highly preferred:

Experience with Kubernetes
Experience with monitoring (i.e. Prometheus, Grafana) and logging (i.e. Fluentbit, Kibana, Loki) solutions in cloud-native environments
Solid understanding of Helm Charts
Experience or knowledge of service mesh technologies, such as Istio
Experience with supporting enterprise Cloud applications or infrastructure
Experience in automation languages like Python or GoLang
Tech Lead Experience

Clearance Requirements:

Minimum Secret Clearance required

Work Type:

Remote with occasional onsite presence as required.
May require up to 25% travel

Salary Range: $160,000 - $210,000

The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities

What we will offer you: