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# Senior Software Engineer – Verification Platform

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/veriff.md)Share25 Aug 2026Published45Listing views3Application actions24 Sep 2026Apply before  Opportunity details

## About this role.

AI SummaryVeriff is seeking a Senior Software Engineer for its Verification Platform team, which owns workflow orchestration and automated identity-verification decisioning services. The role focuses on designing, operating, and improving Python-based backend systems that are reliable, scalable, and maintainable. Key work includes event-driven workflows, branching and fallback logic, webhook integrations, resilience engineering, observability, and production incident response. The engineer will contribute to engineering standards through code reviews, CI, documentation, and mentorship while supporting critical identity and fraud-prevention flows.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThis is a senior production-platform role involving distributed systems, reliability engineering, and on-call ownership for core verification workflows. Success requires deep technical judgment across asynchronous architectures, operational resilience, and cross-team platform design.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate$175,000US market range$145k–$210k0$231k

AI insightNo actual salary, pay range, or other candidate compensation was disclosed in the listing. The figures are estimated USD annual US-market compensation for a senior backend/platform engineer with distributed-systems and on-call reliability responsibilities; actual pay may differ by location, level, and total-equity structure.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Backend Engineering](https://jobicy.com/jobs?search_keywords=Backend%20Engineering.md)[Distributed Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Systems.md)[Event-Driven Architecture](https://jobicy.com/jobs?search_keywords=Event-Driven%20Architecture.md)[Message Queues](https://jobicy.com/jobs?search_keywords=Message%20Queues.md)[API Development](https://jobicy.com/jobs?search_keywords=API%20Development.md)[Reliability Engineering](https://jobicy.com/jobs?search_keywords=Reliability%20Engineering.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Relational Databases](https://jobicy.com/jobs?search_keywords=Relational%20Databases.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)

Sample interview questionsHow would you design an idempotent workflow step that may be retried after a timeout?I would assign a durable idempotency key to the business operation, persist the request state and resulting outcome atomically where possible, and ensure retries return the prior successful result rather than create a duplicate side effect. I would also define timeout and retry policies, use correlation IDs, and expose metrics for duplicate and retry behavior.

Describe your approach to handling backpressure in an event-driven Python service.

I would first bound concurrency and queue consumption based on downstream capacity, then apply rate limits, batching where appropriate, and retry strategies with exponential backoff and jitter. I would monitor queue depth, processing latency, error rates, and saturation, while using dead-letter handling and load shedding for messages that cannot safely be processed immediately.

What practices would you use to make a critical API change backwards compatible?

I would version or extend the contract rather than break existing fields, maintain tolerant readers and producers, and roll out changes behind feature flags when possible. I would add contract and integration tests, monitor adoption and errors during deployment, document the migration path, and remove deprecated behavior only after clients have transitioned.

How do you investigate and lead response to a production incident affecting a verification workflow?

I would establish impact and scope using dashboards, logs, traces, and recent deployment history, then mitigate quickly through rollback, feature flags, traffic controls, or safe fallbacks. I would communicate status clearly, preserve evidence, and lead a blameless postmortem with concrete corrective actions covering detection, resilience, testing, and operational documentation.

How would you evaluate whether a workflow orchestration engine should be built internally or adopted from an existing solution?

I would assess required workflow semantics, failure recovery, state durability, observability, integration needs, operational burden, security requirements, and expected scale. I would compare those needs against mature tooling, prototype the highest-risk paths, and choose an internal solution only if differentiated requirements outweigh the long-term cost of ownership.

Beneath a simple yet elegant user interface lies a complex system of functionalities. Our AI-powered product uses advanced image recognition, facial verification, face recognition, facial anti-spoofing (liveness detection), and behavior analysis to make identity decisions. We help our partners build onboarding processes that ensure good people get things done and bad folks get stopped.

To take our platform to the next level, we’re looking for a Senior Software Engineer to join the Verification Platform team. This team owns the workflow orchestration engine and the automated verification decisioning pipeline that powers Veriff’s core product — and that other product teams across Identity, Fraud, and End User Platform build on top of. Your work will directly determine the reliability, scalability, and capabilities of the flows that thousands of people go through every day.

You’ll help us protect honest people online by:

* Designing, building, and operating VP’s backend services, including the orchestration engine and the automated decisioning pipeline, with a strong focus on reliability, scalability, and maintainability
* Delivering key orchestration features such as multi-method flow execution, branching and fallback logic, and webhook integrations
* Improving the resilience of production-critical systems — backpressure and idempotency handling, backwards-compatibility testing, SPOF elimination, and end-to-end monitoring
* Participating in on-call rotations, incident response, and postmortems to ensure our most critical flows stay healthy
* Driving engineering quality through code reviews, CI practices, runbook documentation, and mentoring teammates

You are the right future Veriffian for the job if you have:

* 5+ years of experience building large-scale backend applications with Python, including event-driven and async architectures with message queues (e.g. SQS or similar)
* Proven ownership of production-critical services — you understand what it means to be on-call and take reliability seriously
* Deep experience designing for resilience in distributed systems: idempotency, backpressure, retries, backwards compatibility
* Strong understanding of modular design approaches and SOLID principles
* Hands-on experience building scalable, maintainable APIs
* Proficiency in a range of testing strategies that ensure robust and reliable software
* Solid understanding of relational database fundamentals
* Familiarity with structured logging and observability practices
* Strong communication skills — you can clearly articulate technical ideas to engineers and non-engineers alike

You’re an especially awesome match if you have:

* Experience with workflow or orchestration engines, event-driven systems, Kubernetes, or identity verification domain knowledge.

You can get familiar with our tech stack on[StackShare](https://stackshare.io/veriff/veriff).

Why Veriff?

We are the preferred identity verification platform partner for the world’s most innovative growth-driven organizations helping conveniently verify and safeguard users anywhere in the world. We support the broadest number of identity documents from nearly every country and territory in the world – and this is continually increasing! With a diverse team in the United States, United Kingdom, Spain, and Estonia, as well as robust backing and funding from investors including Accel, Alkeon, IVP, Tiger Capital, and Y Combinator, we’re dedicated to helping businesses and individuals build a safer and more secure world. We strive to be the benchmark for trust online, and we take pride in being a positive force.

When you join Team Veriff, we offer you the opportunity to have a real impact and advance your career, while looking after you along the way with a range of benefits designed with you in mind. Some of our favorites include…

* Flexibility to work from home
* Stock options that ensure your share in our success
* Extra recharge days on top of your annual vacation
* Extensive medical, dental, and vision insurance to ensure you’re feeling great physically and mentally
* Learning and Development & Health and Sports budget that you are free to tailor to your own needs
* Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary

We are an Equal Opportunities employer committed to a diverse and representative team. Different opinions, perspectives and personalities push us forward. We want to hear from people who are passionate about their work and align with our values. Regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability. We also know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates – so rest assured, whoever you are, we want to hear from you!

Please take the time to read our Recruitment Privacy Notice, which explains how we collect and process your data for recruitment-related activities in accordance with applicable laws. Please read the information carefully. By submitting the application with the required information, you acknowledge that Veriff processes the information for recruitment purposes. Please be informed that in the final stage of the recruitment process, we may request that you undergo identity verification. For more information, please see [Recruitment Privacy Notice](https://www.veriff.com/recruitment-privacy-policy).

#SPBTAL

#LI-Remote

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[Apply now >](https://jobicy.com/jobs/151549-senior-software-engineer-verification-platform.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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