Principal Engineer

Pulsar Informatics, Inc.; United States; À distance; USD 180 000 - 220 000; Plein temps

Avantages offerts par ce poste

Health & dental

Vision

FSA

401(k) plan

Stock options

Learning budget

Fully remote work

Coworking support in Mexico City

Résumé du poste

Pulsar Informatics, Inc. is seeking a senior platform engineer to design and evolve scalable backend systems for high-volume time-series data and ML workflows.

You will own architecture for data ingestion, processing, storage, analytics, and third-party algorithm integration, collaborating with engineers, data scientists, product leaders, and customers to deliver durable platform capabilities.

Qualifications

• Production platforms or distributed systems at real scale.
• Strong Go and API integration skills.
• Experience with big-data streaming or batch processing.
• Ability to own architecture and drive initiatives end-to-end.

Responsabilités

• Evolve storage and compute architecture for high-volume time-series data.
• Build a platform for third-party algorithms with secure execution environments.
• Create developer-friendly APIs, SDKs, docs, and reference implementations.
• Develop reusable abstractions to reduce platform complexity for teams.
• Lead architectural decisions from discovery through production.
• Advance AI-enabled engineering and collaborate with users and partners.

Connaissances

Distributed systems

Go programming

APIs

Big-data streaming

ML operations

Security & reliability

Outils

Temporal

MLflow

Kubeflow

SageMaker

Description du poste

Pulsar Informatics builds software that helps organizations understand and manage human performance in environments where alertness, safety, and sound decision-making matter. Our platform brings together wearable, operational, and contextual data to deliver timely analytics for aviation, transportation, defense, healthcare, and other demanding settings.

As our platform grows in scale and capability, we are investing in data foundations that accelerate innovation and support continued growth: resilient ingestion, streaming and batch processing, scalable time-series storage, data quality, observability, and flexible integration of analytical models developed by Pulsar and third parties.

About the role

We are looking for a senior engineer who is motivated to build scalable platforms and solve hard backend, data, and integration problems. This is not a traditional reporting or ETL-focused role: you will design and evolve the systems that move data from ingestion and normalization through storage, enrichment, analytics, APIs, and machine-learning workflows. A major focus will be creating secure, reliable platform capabilities for third-party algorithms, including execution environments, APIs, SDKs, documentation, testing tools, deployment patterns, and operational controls that help external developers integrate their algorithms into Pulsar products.

You will partner with software engineers, data scientists, product leaders, and customers to create reusable platform capabilities that support both today’s product needs and tomorrow’s scale. The role carries meaningful architectural ownership: you will make pragmatic technical decisions, and know when to invest in a durable foundation versus validate an idea quickly.

What you’ll do

• Evolve our storage and compute architecture for high-volume time-series and event data.
• Build a platform for third-party algorithms, including the secure execution environments and lifecycle controls.
• Create an effective developer experience through APIs, SDKs, documentation, reference implementations, and tools for integrating algorithms.
• Create reusable abstractions that enable product and analytics teams to work efficiently without absorbing unnecessary platform complexity.
• Set technical direction by leading architectural decisions and taking major initiatives from discovery through production.
• Advance AI-enabled engineering.
• Engage with users and partners to translate needs into dependable platform capabilities.

What we're looking for:

• A strong engineer who's built and owned production platforms or distributed systems at real scale and can drive an architecture to done without being managed.
• Writes clean, maintainable code with a solid computer science foundation.
• Hands-on experience with big-data frameworks, building streaming or batch systems that stay correct and fast as data grows from GB to TB.
• Platform builder: you make the systems other teams stand on, and design them to last.
• Strong understanding of machine-learning operations needed to support data science teams.
• Strong in typed languages (Go) and API integration strategies

Nice to have:

• Open source contributions (especially relating to data processing and storage)
• Orchestration and workflow engines (Restate, Temporal).
• Familiarity with machine learning tools (MLflow, Feast, Kubeflow, SageMaker)
• Prior ownership of SDK or API documentation or other developer-facing resources

Why Join Us:

• Mission-Driven Analytics: Help build systems that directly improve safety, health, and operational efficiency across industries.
• Flexible & Remote: Fully remote environment with coworking support in Mexico City and learning budgets for professional growth.
• Ownership Culture: Work autonomously, shape your roadmap, and influence long-term data strategy.
• Inclusive Team: Join a collaborative, values-led team that celebrates clarity, curiosity, and impact.

We offer a competitive salary starting at 200,000 (negotiable) with a full set of benefits, including health & dental, vision, FSA, 401(k) plan contributions and stock options. We provide a dedicated learning budget to support everyone’s professional development.

Flexible Work

Our teams operate fully remotely, and we welcome new team members from anywhere within the U.S. We provide home office furniture if required, a computer workstation, and internet service cost reimbursement.

Our Commitment to Fairness

At Pulsar Informatics, we are proud to be an equal opportunity workplace and embrace a commitment to have our team reflect the world around us as we scale the business.