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Job description
Senior Software Engineer, Platform
FullTime Professional Round Rock, TX, US
16 days ago Requisition ID: 1024
Job Purpose/Summary
The Senior Platform Engineer will develop and implement the backend and data platform architecture for our next-generation space and critical infrastructure defense capabilities. They will build the services, APIs, distributed workers, and data-management components that ingest high-volume telemetry and derived data, and export/stream data for product, analytics, and machine learning UX.
This is a hands-on product development role, not a pure infrastructure operations position. Success in year one involves turning the approved architecture and data model into reliable production services spanning object storage, hot DBs, and data lake architecture, establishing stable Protobuf/gRPC interfaces and delivering secure, observable, cloud-native deployments that can support connected and air-gapped environments. They will influence implementation standards, technical tradeoffs, product delivery, and provide engineering leadership as the team grows.
Duties and Responsibilities
Lead the development and implementation of core platform services
Build versioned API and service contracts using Protobuf/gRPC
Implement and maintain database schemas for data management and application state
Implement and optimize ingest workflows for massive unstructured time-series and telemetry datasets
Build horizontally scalable asynchronous workers and distributed job queues for data ingest and export
Implement secure data upload, download, and object-management workflows
Establish automated unit, integration, contract, load, and failure-mode testing, perform troubleshooting, quality assurance, and production support (SRE-lite)
Implement platform observability, including log aggregation, metrics, engineering dashboards, alerting, and user-visible job status and error information
Collaborate with frontend, machine learning, product and infrastructure teams
Review code, mentor engineers, and ensure platform implementations comply with security requirements, industry standards, and company policies
Qualifications
5+ years of professional software engineering experience building and operating production backend, platform, data, or distributed systems.
Strong proficiency in at least one production backend language - Go or Python experience is strongly preferred
Experience designing distributed services and asynchronous job-processing systems, including concurrency, retries, idempotency, failure recovery, and horizontal scaling
Experience designing and implementing production APIs using Protobuf/gRPC, including versioning, compatibility, authentication, and authorization
Strong relational database knowledge, including relational data modeling, schema migrations, referential integrity, query design, indexing, and performance tuning
Experience with S3-compatible object storage and large analytical, lakehouse, ETL, or time-series data systems
Experience packaging, deploying, and operating containerized services using Docker, Kubernetes, Helm, and automated CI/CD workflows
Practical experience with production security and reliability, including IAM, RBAC, secrets management, access controls, audit logging, observability, testing, and incident troubleshooting
Demonstrated ability to translate architecture and product requirements into incremental implementation plans, production code, and clear technical documentation
Strong communication and collaboration skills, with the ability to work independently while providing technical leadership and mentorship
Minimum education requirement - High School Diploma
Eligible to obtain a U.S. Security Clearance - U.S. Citizenship required
Bonus Qualifications
Hands-on experience with Apache Iceberg, Parquet, Apache Arrow, or comparable lakehouse and columnar-data technologies
Experience with distributed queues or workflow orchestration technologies such as Kafka, NATS, RabbitMQ, MQTT, etc...
Experience with high-throughput data processing technologies such as Spark, Flink, or Beam
Experience with high volume unstructured telemetry, geospatial data, or other high-rate scientific time-series data
Experience delivering systems for on-premises, disconnected, or air-gapped production environments/private cloud environments and with infrastructure-as-code practices
Experience building data platforms that support machine learning training, inference, or model-evaluation workflows
B.S. or M.S. in an area relevant to this role
Working conditions
Employees may be called upon to participate in in-person meetings, training, or company functions at Knowmadics offices or other designated locations. Travel in support of business operations may also be required, and employees are expected to comply with these obligations as part of their position.
Candidate should live within driving distance of the following areas: Round Rock, TX
Physical requirements
May include sitting or standing for extended periods, working with computers and technical equipment, and occasionally lifting or moving materials or tools.
Direct reports
None
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.