The role
We are seeking a Senior Backend Software Engineer to join our Measurement & Ads team. This team is responsible for building and operating the core backend systems that support measurement attribution experimentation and integrations across all of SoFis marketing channels.
In this role you will tackle complex data-intensive problems at scale design reliable event pipelines attribution systems and APIs that connect ad platforms internal analytics and downstream consumers. Youll operate with a high degree of autonomy owning meaningful backend components from design through production while collaborating closely with Product Marketing Data and other Engineering teams.
The ideal candidate is a strong systems thinker pragmatic builder and collaborative partner who cares deeply about correctness reliability and operational excellence.
What youll do
- Design build and operate backend services and components that support measurement attribution and ads enablement across SoFis paid channels working within established architectures and patterns.
- Own well-scoped data-driven components or services contributing to implementation deployment monitoring and maintenance of systems related to event ingestion attribution workflows and data integrations.
- Build and enhance event ingestion pipelines APIs and data flows that integrate with external ad platforms internal analytics systems and experimentation frameworks supporting reliable and timely measurement use cases.
- Contribute to system design and technical discussions providing input on implementation details data models and tradeoffs while learning from more senior engineers.
- Ensure correctness reliability and observability of the systems you work on by writing tests adding metrics and logging and responding to issues as they arise.
- Collaborate closely with teammates and cross-functional partners to translate ads and measurement requirements into concrete technical tasks and deliverables.
- Participate in code reviews and design reviews both as an author and a reviewer applying team standards and continuously improving code quality.
- Support production operations including participating in on-call rotations incident response and post-incident follow-ups with guidance from senior engineers.
What youll need
- Bachelors degree in Computer Science or equivalent practical experience.
- 24 years of professional backend software engineering experience working on production systems.
- Experience building backend services and APIs using languages such as Kotlin/Java Python or similar ideally within a service-oriented or microservice architecture.
- Familiarity with distributed system fundamentals including asynchronous processing event-driven workflows and basic data pipeline concepts.
- Hands-on experience or exposure to event ingestion or queuing systems (e.g. Kafka SQS Pub/Sub).
- Working knowledge of relational databases (e.g. PostgreSQL/MySQL) including schema design queries and common access patterns.
- Experience developing and running services in a cloud environment (AWS preferred) including containerized workloads (Docker; Kubernetes exposure is a plus).
- Ability to deliver features independently within a defined scope while proactively asking questions and incorporating feedback.
- A pragmatic engineering mindset with an eagerness to learn balancing correctness scalability and delivery speed.
- Clear communication skills and comfort collaborating within a cross-functional team-oriented environment.
Nice to have
- Exposure to marketing measurement or ad technology concepts such as attribution conversion tracking or integrations with ad platforms (e.g. Meta Google Ads).
- Familiarity with analytics experimentation or CDP ecosystems (e.g. Amplitude Optimizely mParticle Snowflake) even if primarily as a consumer.
- Experience integrating with third-party APIs including handling rate limits retries and data validation.
- Interest in or experience working in fintech or regulated environments with an appreciation for data quality and correctness.
Required Experience:
IC
The roleWe are seeking a Senior Backend Software Engineer to join our Measurement & Ads team. This team is responsible for building and operating the core backend systems that support measurement attribution experimentation and integrations across all of SoFis marketing channels.In this role you wil...
The role
We are seeking a Senior Backend Software Engineer to join our Measurement & Ads team. This team is responsible for building and operating the core backend systems that support measurement attribution experimentation and integrations across all of SoFis marketing channels.
In this role you will tackle complex data-intensive problems at scale design reliable event pipelines attribution systems and APIs that connect ad platforms internal analytics and downstream consumers. Youll operate with a high degree of autonomy owning meaningful backend components from design through production while collaborating closely with Product Marketing Data and other Engineering teams.
The ideal candidate is a strong systems thinker pragmatic builder and collaborative partner who cares deeply about correctness reliability and operational excellence.
What youll do
- Design build and operate backend services and components that support measurement attribution and ads enablement across SoFis paid channels working within established architectures and patterns.
- Own well-scoped data-driven components or services contributing to implementation deployment monitoring and maintenance of systems related to event ingestion attribution workflows and data integrations.
- Build and enhance event ingestion pipelines APIs and data flows that integrate with external ad platforms internal analytics systems and experimentation frameworks supporting reliable and timely measurement use cases.
- Contribute to system design and technical discussions providing input on implementation details data models and tradeoffs while learning from more senior engineers.
- Ensure correctness reliability and observability of the systems you work on by writing tests adding metrics and logging and responding to issues as they arise.
- Collaborate closely with teammates and cross-functional partners to translate ads and measurement requirements into concrete technical tasks and deliverables.
- Participate in code reviews and design reviews both as an author and a reviewer applying team standards and continuously improving code quality.
- Support production operations including participating in on-call rotations incident response and post-incident follow-ups with guidance from senior engineers.
What youll need
- Bachelors degree in Computer Science or equivalent practical experience.
- 24 years of professional backend software engineering experience working on production systems.
- Experience building backend services and APIs using languages such as Kotlin/Java Python or similar ideally within a service-oriented or microservice architecture.
- Familiarity with distributed system fundamentals including asynchronous processing event-driven workflows and basic data pipeline concepts.
- Hands-on experience or exposure to event ingestion or queuing systems (e.g. Kafka SQS Pub/Sub).
- Working knowledge of relational databases (e.g. PostgreSQL/MySQL) including schema design queries and common access patterns.
- Experience developing and running services in a cloud environment (AWS preferred) including containerized workloads (Docker; Kubernetes exposure is a plus).
- Ability to deliver features independently within a defined scope while proactively asking questions and incorporating feedback.
- A pragmatic engineering mindset with an eagerness to learn balancing correctness scalability and delivery speed.
- Clear communication skills and comfort collaborating within a cross-functional team-oriented environment.
Nice to have
- Exposure to marketing measurement or ad technology concepts such as attribution conversion tracking or integrations with ad platforms (e.g. Meta Google Ads).
- Familiarity with analytics experimentation or CDP ecosystems (e.g. Amplitude Optimizely mParticle Snowflake) even if primarily as a consumer.
- Experience integrating with third-party APIs including handling rate limits retries and data validation.
- Interest in or experience working in fintech or regulated environments with an appreciation for data quality and correctness.
Required Experience:
IC
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