Senior Software Engineer, Platform in United States at Jobgether
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Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Platform based in the United States.
This is a high-impact platform engineering role focused on building and evolving the core infrastructure that powers large-scale, cloud-native data systems. You will help design, build, test, and operate the foundational platform used to run mission-critical data and analytics products at global scale. Working in a highly collaborative R&D environment, you will contribute to the reliability, performance, and scalability of systems that support complex data orchestration and workflow execution. This role sits at the intersection of infrastructure, reliability engineering, and developer experience, with direct influence on how production systems are deployed and operated. You will be part of a team that thrives on solving deep technical challenges in distributed systems and cloud platforms. The environment is fast-moving and highly ownership-driven, where engineers are expected to make decisions, ship safely in production, and continuously improve platform reliability. This is an opportunity to shape the next generation of data infrastructure powering modern analytics and AI workloads.
- Design, build, and evolve core platform infrastructure supporting large-scale cloud-native data and analytics systems
- Own and improve CI/CD pipelines, testing frameworks, and deployment systems in a high-scale PaaS environment
- Collaborate across engineering teams to define system architecture, technical standards, and platform strategy
- Contribute to reliability engineering practices including incident response, monitoring, and operational excellence
- Develop and maintain observability systems including SLIs, SLOs, and performance tracking frameworks
- Participate in architectural decision-making and ensure scalable, secure, and resilient system design
- Improve engineering efficiency by reducing operational toil through automation and tooling
- Create clear internal documentation to support platform usability, consistency, and knowledge sharing
- Support on-call rotations and ensure platform stability across global production environments
- Strong experience in distributed systems design and implementation
- Proficiency in Python and/or Golang with deep experience in Kubernetes (CKA or equivalent preferred)
- Strong background in cloud-native infrastructure, CI/CD systems, and automation practices
- Experience with observability tooling and defining SLIs/SLOs for production systems
- Solid understanding of software engineering best practices including testing, code review, version control, and debugging
- Experience working in high-scale production environments with a focus on reliability and operational excellence
- Strong communication skills and experience collaborating with globally distributed engineering teams
- Ability to take ownership, estimate technical scope, manage risks, and deliver complex projects end-to-end
- Bonus: experience with cloud platforms (AWS, GCP, Azure) and SaaS/PaaS systems at scale
- Bonus: familiarity with tools such as CircleCI, Splunk, Prometheus/Chronosphere, Istio, Bazel, or Kubernetes ecosystem tools
- Bonus: experience with on-call rotations and Apache Airflow-based systems
- Competitive base salary with performance-based compensation
- Equity participation opportunities
- Comprehensive medical, dental, and vision insurance
- Flexible remote work environment within the United States
- Paid time off, holidays, and parental leave
- Career growth opportunities within a high-scale cloud infrastructure organization
- Exposure to cutting-edge technologies in distributed systems, Kubernetes, and data platforms
- Collaborative, engineering-driven culture focused on ownership and impact.