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FreeWheel

GoLang Software Engineer, Identity Service- Freewheel

golangjavapythonawsekskubernetesjenkinssqldatadogprometheusgrafanaelksnowflakedatabrickssparkprestoemraerospikekafkas3microservicescloud-nativeadtechidentity resolutionaudience targetingci/cddistributed systemsbackend

Key details

Salary

$110K – $165K

Employment type

Full-time

Seniority

Mid-level

Years experience

3-5

Location

Chicago, United States

Full job description

Software Engineer on Identity Service Team responsible for designing, developing, and delivering scalable, cloud-native backend systems for identity resolution, audience targeting, and high-throughput advertising workloads. Build and maintain high-performance, low-latency microservices primarily using Golang within AWS/EKS environment. Collaborate with cross-functional teams to deliver resilient and observable platform capabilities. Responsibilities include designing identity services, developing APIs and microservices, owning end-to-end features, ensuring reliability and operational excellence, optimizing performance and latency, safeguarding data quality, collaborating with product and engineering teams, contributing to architecture, supporting production issues, driving continuous improvement, and mentoring peers. Requires bachelor's degree or equivalent experience, 3+ years software engineering experience, strong Golang skills preferred, experience with AWS, EKS/Kubernetes, CI/CD pipelines (Jenkins), SQL, monitoring and observability tools, and familiarity with modern data platforms. Preferred experience in AdTech, identity resolution, audience targeting, or real-time bidding systems.

What you'll do

  • Design and implement identity services supporting audience building, identity resolution, measurement, and targeting across multiple devices/channels
  • Develop and maintain APIs, microservices, and components for audience/identity workflows (e.g., ID mapping, audience lookup, segment evaluation)
  • Own end-to-end features from design through deployment including requirements clarification, technical design, implementation, code review, automated testing, observability, and rollout
  • Ensure reliability and operational excellence by implementing robust logging, metrics, alerts, and dashboards
  • Optimize identity targeting performance and latency including query patterns, matching strategies, 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, thresholds, and automated checks for ingest, transformation, and targeting logic
  • Collaborate closely with product, architecture, SRE, QA, and compliance teams to refine requirements, align on designs, ensure privacy, and validate engineering solutions
  • Contribute to identity and audience-domain architecture by reviewing designs, suggesting improvements, and evolving patterns for identity graph, IDS, audience manager, and F.I.T.S.
  • Participate in escalation and production support workflows (P1/P2), perform root cause analysis, propose fixes, and implement durable preventative measures
  • Drive continuous improvement and tech-debt reduction by simplifying complex logic, improving test coverage, and aligning services with modern cloud/platform standards
  • Mentor and collaborate with peers including junior engineers, data engineers, and QA by providing code reviews, sharing domain knowledge, and contributing to onboarding and documentation

Requirements

  • 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

Tech stack

GolangJavaPythonAWSEKSKubernetesJenkinsSQLDatadogPrometheusGrafanaELK stackSnowflakeDatabricksSparkPrestoEMRAerospikeKafkaS3

Benefits

Base pay within range $109,759.26 - $164,638.89 dependent on experienceBonus eligibility for non-sales positionsComprehensive benefits supporting physical, financial, and emotional well-beingCommission eligibility for sales positionsAccess to expert guidance and personalized support tools

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