GoLang Software Engineer, Identity Service- Freewheel

Software Engineer

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we're making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

As a Software Engineer on the Identity Service Team, you will contribute to the design, development, and delivery of scalable, cloud-native backend systems that power identity resolution, audience targeting, and high-throughput advertising workloads. You will build and maintain high-performance, low-latency microservices primarily using Golang within an AWS/EKS environment while helping drive reliability, scalability, and operational excellence across distributed systems. In this role, you will work closely with cross-functional teams including Product, Architecture, SRE, QA, Compliance, and Data Engineering to deliver resilient and observable platform capabilities. The ideal candidate has strong experience developing cloud-native microservices, managing CI/CD pipelines, working within modern data ecosystem technologies, and is a collaborative engineer who thrives in fast-paced agile environments and passionate about building reliable, scalable backend platforms.

Core Responsibilities:

• Design and implement identity services that support audience building, identity resolution, measurement, and targeting across multiple devices / channels.
• Develop and maintain API's, microservices, and components for audience/identity workflows (e.g., ID mapping, audience lookup, segment evaluation).
• Own end-to-end features from design through deployment: requirements clarification, technical design, implementation, code review, automated testing, observability, and rollout.
• Ensure reliability and operational excellence of identity services by implementing robust logging, metrics, alerts, and dashboards.
• Optimize identity targeting performance and latency, including query patterns, matching strategies (linkages), and data-access paths (e.g., Aerospike, Kafka, Snowflake, S3) to support high-throughput ad-serving and bidding workloads.
• Safeguard data quality across identity pipelines by adding validations, (appropriate) thresholds, and automated checks for ingest, transformation, and targeting logic.
• Collaborate closely with product, architecture, SRE, QA, and compliance to refine requirements, align on designs, ensure privacy, and validate the effectiveness of engineering solutions.
• Contribute to identity and audience-domain architecture by reviewing designs, suggesting improvements, and helping evolve patterns for identity graph, IDS, audience manager, and F.I.T.S.
• Participate in escalation and production support workflows (P1/P2), performing root cause analysis for identity-targeting issues, proposing fixes, and implementing durable preventative measures.
• Drive continuous improvement and tech-debt reduction in the identity targeting codebase, simplifying complex logic, improving test coverage, and aligning services with modern cloud/platform standards.
• Mentor and collaborate with peers (junior engineers, data engineers, QA) by providing constructive code reviews, sharing domain knowledge on identity targeting, and contributing to onboarding and documentation

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 3+ years of software engineering experience building scalable backend services and distributed systems.
• Strong programming experience with Golang preferred; additional experience with Java or Python microservices is valuable.
• Experience building high-performance, low-latency microservices in cloud-native environments.
• Strong experience with AWS infrastructure and container orchestration technologies, particularly EKS/Kubernetes.
• Experience implementing and maintaining CI/CD pipelines, preferably with Jenkins.
• Strong SQL skills with experience optimizing queries and working with large-scale datasets.
• Experience with monitoring, logging, and observability platforms such as Datadog, Prometheus, Grafana, or ELK stack.
• Exposure to modern data platforms including Snowflake, Databricks, Spark, Presto, or EMR is a strong plus.
• Excellent troubleshooting, debugging, and cross-functional collaboration skills.
• Experience in AdTech, identity resolution, audience targeting, or real-time bidding systems is preferred but not required.