Overview
Remote
Depends on Experience
Contract - W2
Contract - 26 week(s)
Skills
PYTHON
Job Details
Senior Site Reliability Engineer (SRE) – Data Platform
Job At a Glance
Location: Orlando, FL; remote (EST Time Zone)
Contract Length: W2 Contract, 6 months with possible extension or conversion
Pay: $67/hr - $72/hr + medical, dental, vision, 401k match
About the Role
We’re seeking a Senior Site Reliability Engineer (SRE) to join our Data Platform team at a leading global media organization. This is a mission-critical role focused on designing, scaling, and sustaining the core platform that powers data products and insights across both digital and physical experiences.
As an SRE, you’ll bring a software engineering mindset to operations—automating processes, reducing manual toil, and enhancing the availability and observability of high-throughput, real-time data systems. You’ll work at the intersection of data engineering, DevOps, and infrastructure, collaborating closely with cross-functional teams to build a robust and scalable data platform.
Key Responsibilities
Basic Qualifications
#INDREM
#INDGEN
Job At a Glance
Location: Orlando, FL; remote (EST Time Zone)
Contract Length: W2 Contract, 6 months with possible extension or conversion
Pay: $67/hr - $72/hr + medical, dental, vision, 401k match
About the Role
We’re seeking a Senior Site Reliability Engineer (SRE) to join our Data Platform team at a leading global media organization. This is a mission-critical role focused on designing, scaling, and sustaining the core platform that powers data products and insights across both digital and physical experiences.
As an SRE, you’ll bring a software engineering mindset to operations—automating processes, reducing manual toil, and enhancing the availability and observability of high-throughput, real-time data systems. You’ll work at the intersection of data engineering, DevOps, and infrastructure, collaborating closely with cross-functional teams to build a robust and scalable data platform.
Key Responsibilities
- Design, build, and maintain scalable, resilient infrastructure for the core data platform.
- Implement observability frameworks and telemetry pipelines using tools like OpenTelemetry, Prometheus, Grafana, Datadog, and Honeycomb.
- Automate operational processes through infrastructure-as-code and CI/CD tooling (Terraform, AWS CDK, etc.).
- Monitor and optimize platform health through SLAs, SLOs, and SLIs, ensuring high availability and performance.
- Lead incident response, root cause analysis, and drive a culture of continuous improvement with blameless postmortems.
- Own and improve DORA metrics (e.g., MTTR, deployment frequency).
- Collaborate with data engineers, developers, and architects to operate petabyte-scale, real-time data pipelines.
- Write clean, testable, and reliable code; lead technical design and code reviews.
Basic Qualifications
- 6+ years of professional experience in software engineering, reliability, infrastructure, or platform development.
- Strong programming skills in Python and at least one statically typed language (Java, Go, TypeScript, etc.).
- Deep hands-on experience with AWS services: Lambda, ECS/EKS, S3, IAM, API Gateway, SNS/SQS, Kinesis.
- Proven experience operating and scaling distributed systems in production.
- Advanced knowledge of observability design: tracing, metrics, and logging across complex systems.
- Proficiency with CI/CD pipelines, DevOps practices, and infrastructure-as-code.
- Solid understanding of SQL/NoSQL databases and architectural trade-offs in large-scale environments.
- Familiarity with agile workflows, code review practices, and modern SDLC processes.
- Experience with real-time data processing, streaming platforms, or analytics infrastructure.
- Hands-on experience with Datadog, particularly for monitoring serverless applications.
- Strong skills in performance profiling, distributed tracing, and root cause analysis.
- Demonstrated success improving system reliability and delivery metrics (MTTR, change failure rate, etc.).
- Understanding of cloud compliance, governance, and security best practices.
- Background in media, entertainment, or high-traffic consumer platforms.
- Required: Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- Preferred: Advanced degree or specialized certifications in cloud, data engineering, or reliability engineering.
- A systems thinker who enjoys solving complex challenges at scale.
- Passionate about automation, observability, and performance in data-intensive systems.
- A technical leader who balances architectural vision with hands-on execution.
- Thrives in a fast-paced, collaborative, and high-ownership culture.
- Motivated by impact and excited to support storytelling, personalization, and user experience for millions worldwide.
#INDREM
#INDGEN
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