Senior Software Development/Operations Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 39d ago
The date the source published, not the day we noticed it (2026-08-24). Last seen at its source 1h ago.
We have tracked this listing since 22 Sep 2026 (9 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$140.6k–173.1k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workday employer's own board first seen 9d ago · last seen 1h ago
- location not stated
The listing
About the Team/Role
We’re looking for a Senior Development/Operations Engineer with strong back-end expertise to join our team. We are part of the ‘Connected Fleet’ team, developing tools to assist clients driving towards the modern vehicle experience. In addition to working closely with the Sawatch development team of six, you will regularly interface with other WEX engineering teams.
You’ll help design and develop intuitive, performant web and back-end applications and deliver seamless customer experiences that enhance the customer experience. These platforms allow large fleets and transportation companies to operate their fleets more efficiently, prevent and reduce fraud and make data-driven procurement decisions.
How you’ll make an impact:
Design, develop, and maintain robust, scalable, and high-performance web applications.
Develop public REST APIs using Python and Node for inter-service and inter-system communication.
Implement comprehensive automated testing strategies, including unit, integration, end-to-end, load, and performance testing.
Identify bottlenecks and tech debt; drive incremental scalability, and stability improvements.
Develop and enhance automation frameworks for testing, monitoring, auto-scaling, continuous integration and deployment to reduce time to market.
Conduct code reviews (comment, approve, seek revisions, merge), and champion engineering best practices, and continuously raise the quality bar.
Troubleshoot complex production issues, devise fixes, author root cause analysis documents, and ensure lasting performance and reliability.
Maintain robust documentation (design docs, run books, change management docs, and readiness plans).
Experience you'll bring:
5-8 years of professional experience in software engineering.
Expertise in backend development, including strong proficiency in Python, Node.js, Go or C++ and building and optimizing RESTful APIs and SQL.
Strong foundation in data structures and algorithms, object-oriented design, and problem-solving.
Experience with cloud-native environments, including Docker, Kubernetes, or AWS/GCP/Azure.
Experience with event-driven architecture and tools like Kafka.
Familiarity with relational or NoSQL databases; e.g. SQL, MongoDB.
Expertise in designing and developing internet-scale services with scalability, availability, security, and reliability design tenets.
Solid understanding of web security fundamentals including authentication, authorization, and data protection.
Familiarity with Git, automated testing frameworks, and CI/CD workflows.
Clear written and verbal communication skills, and a collaborative and empathetic mindset.
Other nice-to-haves:
Ability to work within existing codebases with legacy systems constraints.
Experience or familiarity with telematics data, time-series data, and/or geospatial data.
Experience with micro-frontends or module federation.
Experience developing with the assistance of AI-driven tools.
Experience working with geographically distributed teams.