What You’ll Do

As a Senior Software Backend Engineer, you will build and scale the core application logic, streaming pipelines, and data layers that power our real-time AI tracking platform. You will focus on the intersection of backend service architecture and data engineering—ensuring high-frequency telemetry data is ingested via streaming queues, accurately modeled, and reliably served to downstream web apps and AI models.

• Design, develop, and maintain high-performance backend systems, microservices, and APIs alongside real-time data pipelines.
• Implement stateful stream-processing applications to clean, transform, and window high-frequency telemetry and event data.
• Architect robust data models and schemas optimized for low-latency writes and fast real-time queries across relational, time-series, and caching layers.
• Collaborate cross-functionally with frontend and AI/data science to expose clean, structured data and integrated AI insights via scalable APIs.
• Participate in the full software development lifecycle, including writing integration tests, code reviews, deployment, and monitoring pipeline health.
• Investigate, debug, and optimize application bottlenecks, data serialization overhead, and query performance in production.

What You Need

• BS/MS degree in Computer Science, Software Engineering, or a related technical field.
• 3+ years of professional software engineering experience with a balanced focus on backend systems and data pipeline development.
• Proficiency in Java, Python and/or Rust to build backend services
• Awareness of distributed messaging systems and event-driven architectures, such as Apache Pulsar or Kafka.
• Understanding of data modeling concepts related to relational databases (e.g., PostgreSQL) and in-memory data structures (e.g., Redis/Valkey).
• Familiarity with containerization (Docker) and modern cloud environments (AWS, GCP, or Azure).
• Able to leverage AI coding assistants to increase velocity while fully understanding and taking absolute ownership of all backend code and schemas you commit.
• Strong problem-solving skills and a collaborative mindset to handle the complexities of real-time data flow.

Bonus Qualifications

• Experience with column-oriented or time-series data storage and analytical file formats (e.g., Parquet).
• Familiarity with geographic/spatial data processing and mapping APIs.
• Basic understanding of Kubernetes, CI/CD pipelines, and GitOps workflows.
• Prior experience or a deep interest in aerospace, aviation, or high-throughput tracking systems.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $160,000.00 - $198,000.00. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at [email protected]. Reasonable accommodations will be determined on a case-by-case basis.