Software Engineer II (Data Pipelines & Event Processing)

Torch.AI•Leawood, KS

1d•Onsite

About The Position

Torch.AI is seeking a Software Engineer II to build production-grade software that ingests, processes, and enriches large volumes of real-world data for mission-critical decision making. The role develops scalable data pipelines and backend services that transform diverse, multi-source information into structured, actionable insights. Systems must be reliable and adaptable, operate continuously as data sources evolve, and support controlled environments with careful handling of access patterns, attribution, and compliance constraints. The engineer will work with platform, data, and security teams to deliver systems that meet mission, auditability, and compliance requirements. The position contributes to CI/CD, containerized deployments, testing, production troubleshooting, documentation, code reviews, and engineering practices. Torch.AI describes its work as fast-paced and mission-driven, with engineers owning meaningful work and seeing systems deployed in production, often within weeks. This position is based at the company’s headquarters in Leawood, Kansas. U.S. citizenship is required for all positions; candidates must be eligible to obtain and maintain an appropriate clearance where required. Torch.AI does not sponsor employment visas.

Requirements

Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
3–6 years of professional software engineering experience.
Strong proficiency in Python (preferred) or a similar backend programming language.
Experience building production systems for data ingestion, integration, or processing.
Experience with APIs, automated data-access techniques, and distributed systems.
Strong understanding of data pipeline patterns, including ETL/ELT workflows.
Experience with structured and semi-structured data formats such as JSON, CSV, and Parquet.
Familiarity with SQL and NoSQL databases and query optimization.
Experience designing systems that operate reliably despite variable data availability and latency.
Familiarity with cloud environments (AWS preferred) and containerization (Docker).
Experience with CI/CD pipelines and modern software development practices.
Understanding of secure software development practices and controlled data-access patterns.
Strong problem-solving skills and ability to work in fast-paced, mission-driven environments.
U.S. citizenship is required for all positions.
Where a role requires clearance, candidates must be eligible to obtain and maintain the appropriate clearance level.

Nice To Haves

Experience with workflow orchestration tools such as Airflow or NiFi, or similar systems.
Experience with streaming or event-driven architectures such as Kafka.
Familiarity with large-scale data ingestion, indexing, or search systems.
Experience with geospatial, temporal, or multi-source datasets.
Exposure to data enrichment, entity resolution, or relationship-mapping techniques.
Experience implementing controlled or privacy-aware data-acquisition techniques.
Familiarity with distributed infrastructure patterns supporting identity protection, request management, or traffic routing.
Experience supporting defense, intelligence, or other regulated environments.
Familiarity with distributed systems and microservices architectures.
Exposure to observability tooling such as logging, monitoring, and metrics.
Active Secret, Top Secret, or Top Secret/SCI clearance may be required for some roles.

Responsibilities

Design, build, and maintain backend services and pipelines that acquire and process data from diverse sources.
Develop automated data-access workflows using APIs, web interfaces, and distributed systems while adhering to controlled access and usage constraints.
Implement data transformation, enrichment, and normalization for downstream analytics and mission applications.
Build systems that monitor and respond to real-world events by collecting, correlating, and updating relevant data streams.
Develop data-fusion capabilities that combine sources to improve data completeness, context, and usability.
Apply operational security practices to data acquisition and processing, including controlled access patterns, traffic shaping, and protection of systems and infrastructure.
Implement safeguards to reduce attribution risk and ensure responsible interaction with external data sources.
Collaborate with platform, data, and security teams to meet compliance, auditability, and mission requirements.
Optimize performance, scalability, and resilience of data acquisition and processing systems.
Contribute to CI/CD pipelines, containerized deployments, and automated testing workflows.
Troubleshoot production issues and perform root-cause analysis across distributed systems.
Document system behavior, data flows, and integration patterns for maintainability and operational use.
Participate in code reviews and contribute to engineering standards and best practices.

Benefits

Competitive base salary aligned with technical depth, clearance level, and mission impact.
Quarterly performance bonuses.
Equity participation within the first 12 months.
Unlimited PTO and 11 paid company holidays.
Professional development in a high-growth, mission-driven environment.
Weekly in-office catering at headquarters.
401(k) plan (no current employer match; under consideration).
PPO, HSA, and TRICARE Supplement medical options.
Above-market HSA contributions.
HSA, FSA, and Dependent Care FSA options.
Dental and vision plans above national averages.
Employer-paid life insurance equal to 1× salary.
Employer-paid short-term and long-term disability.
Voluntary accident, critical illness, and hospital indemnity coverage.
Up to $300 per month in tax-advantaged commuter benefits.