Design, build, and operate backend services, internal platforms, and shared infrastructure that enable data pipelines, analytics, and application workloads.
Apply a strong focus on CI pipeline design, operational reliability, and cloud cost awareness as first-class engineering concerns.
Write high-quality, maintainable, and testable production code, primarily in Python.
Partner with application and data engineers to define service boundaries, APIs, data contracts, and operational requirements.
Contribute to architectural decisions with an emphasis on long-term maintainability, reliability, and clarity.
Architect and operate AWS-based, cloud-native systems with an emphasis on reliability, security, performance, and cost efficiency.
Own the full lifecycle of platform and service components, including design, implementation, deployment, observability, and incident response.
Build and maintain Infrastructure as Code using Terraform to manage cloud assets and operational workflows.
Enable and support data platforms, analytics systems, and ML-adjacent workloads through reliable backend and platform services.
Design systems that integrate with relational databases, object storage, and event-driven data flows.
Work closely with data engineers and analysts to ensure systems meet requirements for data correctness, availability, and performance.
Set and evolve best practices for cloud-based data management through platform design, automation, and standards.
Build and evolve CI/CD pipelines that test, validate, and deploy both application and infrastructure code.
Establish and maintain observability standards using metrics, logs, and alerts.
Participate in on-call rotations and lead root cause analysis and long-term system improvements following incidents.

Requirements

5+ years of professional experience across platform engineering, backend engineering, data engineering, CloudOps, or SRE roles.
Strong backend development experience, including building and operating production services or internal platforms.
Prior experience on data platform, analytics, or ML infrastructure teams preferred.
Significant hands-on experience with AWS, including services such as VPC, IAM, EKS/ECS, RDS, S3, and related managed services.
Familiarity with event-driven architectures, messaging systems, or streaming data patterns preferred.
Experience with Infrastructure as Code (Terraform and/or CloudFormation).
Experience operating containerized workloads using Docker and Kubernetes in production environments.
Solid understanding of CI/CD, Git-based workflows, and automated testing.
Strong operational mindset, including comfort owning production systems and participating in on-call rotations.
Experience building or evolving internal developer platforms or shared infrastructure services preferred.
Experience working with relational databases and data-intensive systems.
Excellent written and verbal communication skills, with the ability to present complex technical information to diverse audiences.
Demonstrated ability to work collaboratively and effectively in a cross-functional environment with both technical and non-technical team members who are geographically dispersed
Proven ability to stay connected and maintain communication across distributed teams in hybrid or remote settings.

Benefits

Highly competitive otal compensation
Flexible, work from home or hybrid work
Unlimited vacation
Educational assistance
Parental leave
Highly engaging company culture with opportunities for in-person connection and learning and growth.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAWSTerraformCI/CDDockerKubernetesrelational databasesevent-driven architecturesautomated testingdata pipelines

Soft Skills

communicationcollaborationoperational mindsetproblem-solvingcross-functional teamworkadaptabilityleadershiproot cause analysispresentation skillsincident response