Senior/Staff Software Engineer (Data Platform)

Axion Ray; United States; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Employee stock option program

Health Savings Account (HSA)

Unlimited paid time off (PTO)

Relocation support

Commuter benefits

Comprehensive healthcare coverage

12 weeks of paid parental leave

Lunch credit in office

401(k) plan

Job summary

Axion Ray is seeking a senior Backend Engineer to own data ingestion architectures and production systems. You’ll work on onboarding data from multiple enterprise sources, design pipelines, and collaborate with product and engineering to ship reliable, scalable data flows.

You’ll deploy in Python, PostgreSQL, and Kubernetes, mentor teammates, and shape the data platform roadmap. This role rewards ownership, fast iteration, and robust, observable services in a fast-moving environment.

Qualifications

• 5+ years of backend software engineering experience.
• Strong fluency in Python for data ingestion pipelines and backend services.
• Experience designing and operating distributed systems in production (Kubernetes).
• Proven ability to model relational data and optimize Postgres schemas under load.

Responsibilities

• Own technical architecture for data ingestion pipelines and schema mappings.
• Build, harden, and scale backend services and cloud infrastructure.
• Define and improve data onboarding workflows across diverse enterprise sources.
• Mentor engineers on data architecture and system design.

Skills

Python

PostgreSQL

Kubernetes

Data architecture

Data modeling

Cloud infrastructure

Mentorship

Production systems

Tools

Docker

SQL

Job description

• We’re looking for an experienced Backend Engineer to build and scale the production data ingestion systems that brings customer data into the Axion platform. This is a senior individual contributor role with direct architectural ownership and product impact
• The ideal candidate has strong experience working in early‑stage companies, building and scaling complex, data‑intensive backend systems. In this role, you would work with customer, service, field, telematics, warranty, and aftermarket data from dozens of enterprise systems, often in incompatible formats and with little structure or connection between sources
• Getting data onboarding right is essential because everything downstream depends on the integrity of that data. You’ll work closely with both Engineering and Product leadership to define and improve how manufacturer data is ingested, mapped, validated, and prepared for use across the platform
• Own technical architecture for our data ingestion system, including ingestion pipelines, schema mapping, validation, transformation, and the orchestration that carries customer data from the source to production‑ready dataset
• Build and harden the backend services and cloud infrastructure (Python, Postgres, and Kubernetes) that make onboarding a new manufacturer fast, repeatable, and observable, rather than a bespoke engineering project every time
• Solve integration challenges at the source: enterprise warranty, telematics, ERP, and service systems with inconsistent schemas, unreliable delivery, and no shared vocabulary between them
• Establish rigorous data quality and reliability standards (validation, lineage, monitoring, and alerting) so that pipeline degradation is caught by us before it’s noticed by a customer
• Partner across Engineering, Product, and customer‑forwarding teams to shape the technical vision and roadmap for data onboarding workflows
• Raise engineering standards through code review, design docs, and the technical direction others build on
• Mentor engineers on data architecture and system design, unblocking hard problems and sharing context generously

Benefits

• Employee stock option program
• Health Savings Account (HSA)
• Unlimited paid time off (PTO)
• Relocation support
• Commuter benefits
• Comprehensive healthcare coverage (100% of employee premiums covered and 70% for dependents)
• 12 weeks of paid parental leave (birthing parents)
• Daily lunch credit when you're in the office (around $20/day)
• 401(k) plan with optional supplemental life, disability, and more

Minimum 5+ years of backend software engineering experience, with deep, recent, hands‑on fluency in PythonA strong executor in fast‑paced environments who can balance shipping MVPs with a commitment to production‑grade systemsA pragmatic, tools‑not‑platforms approach to the data ecosystem-you pick the right technology for the problem rather than building an identity around a single proprietary stackStrong cloud architecture experience-designing, deploying, and operating distributed services in production, with Kubernetes and containerized workloadsA firm believer in a "Data First" philosophy who can make sound decisions in ambiguous, fast‑moving situationsDemonstrated depth with Postgres and relational data modeling, including performance, migrations, and schema design under real production loadA track record of solving genuine data integration problems: heterogeneous sources, messy real‑world inputs, and turning all of it into something reliable that downstream systems can depend onA track record of technical mentorship; you make the engineers around you better without needing formal authorityYou value feedback - giving it, receiving it, and acting on it - and you see collaboration as a competitive advantage, not a burden. You're low‑ego but high‑agency: you care about winning as a team more than being right individually. You move quickly, communicate directly, and make decisions grounded in impact and dataYou don't need constant direction - you create momentum. You take ownership for outcomes, and you expect the same from those around youYou're a builder and operator who thrives in fast-moving, high‑accountability environments. You take pride in getting things done - thoughtfully, efficiently, and without drama. You're energized by ambiguity, skilled at bringing clarity, and comfortable flexing between strategy and execution