Software Engineer – Data Acquisition

Woven Planet

. Build, maintain, optimize and support large scale, cloud-native data ingestion, data storage, data processing and data serving systems.

Posted 10/9/2026full-timeAnn Arbor • Michigan • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining cloud-native data systems, with a strong focus on data ingestion, processing, and storage. Proficient in Python and C++, with experience in designing scalable applications and working within microservice architectures.

Highest-signal resume keywords

Python ProgrammingC++ DevelopmentCloud-Based Microservice ArchitectureData Pipeline DesignSite Reliability Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data StructuresAlgorithmsTestable Modular CodeData GovernanceData PrivacyData SecurityConcurrent ApplicationsDistributed DatabasesBatch ProcessingWorkflow Orchestration

Soft Skills

CollaborationCommunication

Tools & Technologies

AWSGCPTerraformDockerKubernetes

Industry Keywords

Autonomous DrivingData CollectionCloud-Native TechnologiesData IngestionFleet Vehicle Data

Tech Stack

Tools & technologies

AWSCloudDockerGoogle Cloud PlatformJavaKubernetesPythonTerraformC++Go

About the role

Key responsibilities & impact

Build, maintain, optimize and support large scale, cloud-native data ingestion, data storage, data processing and data serving systems.
Develop and support large production real-time systems written and maintained in Python and C++.
Understand the complex data requirements of modern AD/ADAS platforms and tailor the data ecosystem to these needs.
Work closely with other Data Infrastructure, Site Reliability and Vehicle software platform engineers on high-impact projects to create innovative solutions in the self-drive space.
Contribute to the Lakehouse ingestion platform and Fleetnik mobile app that ingest, enrich and monitor fleet vehicle data in the cloud.
Deliver data-collection edge filtering infrastructure supporting data validation and scenario detection.
Help engineer large-scale data acquisition pipelines processing hundreds of terabytes daily from global ingestion sites.

Requirements

What you’ll need

Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
3+ years of experience with data structures/algorithms and professional software engineering in one or more programming languages (e.g., Python, Go, Java).
Development experience with autonomous driving and/or data collection using C++ under embedded environments.
2+ years designing and building data-intensive, concurrent, scalable applications.
Experience with cloud-based (e.g. AWS, GCP) microservice architecture, event-driven, distributed architectures.
Experience writing testable, modular code in Python.
Business-level proficiency in English speaking, reading and writing (e.g., technical documents, software documentation).
Experience with data platforms, data pipelines, workflow orchestration, batch processing, and/or distributed databases.
Experience writing testable, modular code in Golang or Java.
Experience working as a Site Reliability Engineer.
Experience with Terraform, Docker, cloud-native technologies, networking and Kubernetes in production.
Experience designing, deploying, and maintaining multi-region and/or multi-cloud systems.
Experience working in a fast-paced environment, collaborating across teams and disciplines.
Experience with data governance, data privacy and security.
Business-level proficiency in Japanese is a nice-to-have, not a requirement.

Benefits

Comp & perks

Excellent health, wellness, dental and vision coverage
A rewarding 401k program
Flexible vacation policy
Family planning and care benefits