Senior Software Engineer - Data Platform

Summary

Join Glassdoor as a Senior Software Engineer and help build the next generation data platform for Glassdoor and Fishbowl products. This transformational role involves introducing best practices in software development, championing a culture of quality, mentoring junior engineers, and conducting code and architecture reviews. You will also be responsible for setting and enforcing best practices, ensuring smooth platform operation, and introducing a robust data quality strategy. This role reports to the Engineering Manager of Data Platform and requires 4+ years of experience in software engineering or a similar role.

Requirements

• 4+ years of experience in software, platform, DataOps, MLOps engineering or a similar role
• Strong data product and business sense to drive decision making that allows you to put yourself in the shoes of the end-user
• Strong interpersonal and collaboration skills, with the ability to work effectively across functions and influence decision-making
• Experience in stakeholder management and building consensus among diverse groups
• A team player outlook, with a growth mindset and an impact-driven approach
• Expertise in container and container orchestration tools (Docker and/or Kubernetes) K8s cluster management
• Performance optimizations
• Updating and deploying helm charts
• Expertise with CI/CD (GitHub Actions, GitLab CI, Jenkins, etc) fundamentals and implementation for big data tools
• Strong AWS cloud fundamentals: Experience with IaC (CloudFormation and/or Terraform)
• EMR, S3, EC2, EKS, ECS, ECR, VPC, IAM, Route 53, Kinesis, Lambda, Glue, and more
• Hadoop fundamentals: HDFS, Hive, Tez, Spark, and more
• Strong DevOps and SysOps experience Networking experience (VPC, network peering, TCP/IP, subnets, etc)
• Monitoring, observability, and alerting with DataDog, CloudWatch, and/or Grafana
• Strong software fundamentals: Hands-on development & writing code (Python, Java, Scala, etc)
• Unit testing, mocking, and patching strategies (pytest, unittest, mockito, etc)
• OOP/OOD and software design patterns (factory, facade, builder, adapter, etc)
• Experience with UML diagrams
• Strong data fundamentals: Development of custom Airflow operators and libraries
• Maintaining Airflow webserver, scheduler, and metastore
• Maintaining EMR clusters for Hive and Spark workloads
• Snowflake fundamentals
• Streaming data with Kafka and transformations with ksqlDB/Flink
• Experience with TimescaleDB, ClickHouse, and/or Snowflake
• Understanding fundamentals of data architecture and modeling
• Strong AIOps experience: Understanding of ML Lifecycle
• Understanding of agentic design
• Proficiency in managing GPU instances, managing and monitoring GPUs in cluster environments
• GPU concurrency & time-slicing
• Experience working with tools like MLFlow, Kubeflow, KServe or BentoML
• ML model registries, DVC, etc

Responsibilities

• Introduce best practices in software development across data engineering and machine learning teams, ensuring technical architecture and design decisions support scalability, performance, and maintainability
• You'll champion a culture of quality, continuous improvement, and technical mentorship within the team while partnering closely with various other teams across the engineering organization
• You’ll set and enforce best practices and standards for the data platform team and ensure that our platform runs smoothly while keeping our cloud environment clean
• You’ll mentor junior engineers, challenging their technical skills to help them grow into well-rounded engineers
• You’ll conduct regular code and architecture reviews for the data platform team championing new approaches and refining older ones to keep us at the cutting edge of technology
• Introduce a robust data quality strategy aimed to eradicate poor data from making its way into production

Preferred Qualifications

• Experience with hosting, managing, and deploying LLMs a plus AWS Bedrock, LangChain, and more
• Automated batch training of ML models a plus Airflow, KubeFlow, MLFlow etc

Benefits

• Base salary range*: $118,400 - $157,300
• Annual bonus target**: 10%
• Bonuses are paid in 6-month intervals, aligning with bi-annual performance reviews
• Generous Restricted Stock Units (RSU)
• Restricted Stock Units (RSU) are awarded at hire and may be refreshed annually. Additionally, as a pay-for-performance company, there are additional RSU grant awards for the very top performers
• Health and wellness: 100% employer-paid premiums for employee medical, dental, vision, life, short and long-term disability and select well-being programs, along with 80% employer-paid premiums for all dependents
• Generous paid time-off programs for birthing and non-birthing parents are provided, along with additional company-sponsored leaves such as paid injury/illness leave, family emergency leave, compassionate leave, and domestic & sexual violence leave
• Coverage begins at the start of employment. After 48 months of continuous employment, 100% of all premiums for you and your dependents can be employer-paid!
• Wellness programs to support mental, physical, and financial health, such as paid career coaching & mental health therapy, financial coaching, subsidized fitness & wellness appointments, HSA, FSA, commuter benefits, fertility & pregnancy support, employee perks and discounts, legal assistance program, gender-affirming care relocation benefit and work-from-home monthly allowance
• Work/life balance : Open Paid Time Off policy, in addition to 15-20 paid company holidays/year
• Investing in your future: 401(k) plan with a company match up to $5,000 per year, subsidized fertility & family planning services and discounted legal assistance services
• With flexible hours and a where-to-work policy, Glassdoor allows you to take on professional and personal responsibilities — enhancing both productivity and your well-being