Build our internal developer platform, the Engineering Runtime, managing AWS infrastructure as code and ensuring platform reliability and security for internal engineering, data, and AI teams.
Responsibilities
Build internal developer platform, the Engineering Runtime
Manage AWS infrastructure as code (accounts, networks, EKS clusters, Karpenter, databases and IAM)
Make the platform reliable and secure by default, testing disaster recovery
Work with Glass Lewis engineering teams, migrating Azure applications to the platform
Talk to platform users to determine next build priorities
Work with the developer platform team on a portfolio of initiatives that improve developer experience and delivery speed – from design through rollout, enablement, and measurement. Build and scale AI-powered developer tooling and contribute to the evolution of the CI/CD platform.
Compensation
Compensation Range: $125,000-$150,000 annually
Responsibilities
Build and scale AI-powered developer tooling using LLMs for agentic coding and review workflows
Contribute to the evolution of the CI/CD platform to be faster, more observable, and easier to adopt
Strengthen platform reliability and security in Kubernetes
Create paved paths and golden templates for developers
Collaborate and grow with teammates on complex changes and champion code review quality
Requirements
Nice to have: agentic developer assistants
Nice to have: CDN and edge controls
Nice to have: Platform observability improvements
Nice to have: gRPC service enablement
Nice to have: Exposure to commercial LLM providers
Own the strategy, organization, and execution behind the infrastructure that powers the data security platform, leading a global organization of DevSecOps, SRE, and platform engineers across AWS, Azure, and GCP.
Compensation
For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. Compensation Range (TTC / OTE) $424,800—$882,240 USD
Responsibilities
Build, scale, and lead a high-performing global DevSecOps organization
Define and run a multi-year infrastructure, platform, and security-automation roadmap
Ensure infrastructure meets SOC 2, ISO 27001, HIPAA, GDPR, and other regulatory requirements
Set SLOs and error budgets for production services and own incident management
Lead the evolution of the internal developer platform using Terraform, CloudFormation, and GitOps pipelines
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
Lead and innovate as a Senior Staff Cloud DevOps Engineer specializing in AWS and Kubernetes to architect, implement, and optimize scalable, secure cloud-native infrastructure.
Responsibilities
Architect and lead the implementation of large-scale, complex Kubernetes environments on AWS EKS
Design and implement advanced features including multi-cluster management, service mesh architectures, and custom controllers
Drive strategic proof-of-concept initiatives for emerging technologies
Lead the development of enterprise-wide standards for Kubernetes cluster lifecycle management
Provide expert-level consultation to cross-functional teams on cloud-native application design
Requirements
Bachelor's degree in Computer Science, Information Technology, or related field
Nice to have: AWS Professional level certifications
Nice to have: Kubernetes certifications
Nice to have: Multi-cloud experience
Nice to have: Database technologies such as MySQL, PostgreSQL, Serverless platforms
Supporting products transitioned from on-prem data center into AWS Cloud, strategizing and implementing cloud best practices, maintaining operational coverage, and enhancing automation capabilities for SaaS offerings.
Compensation
The annual full time base salary range for this role is $95,000.00 - $135,000.00
Responsibilities
Work closely with Development, Business, and Platform teams and being the point for products and underlying infrastructure of the products running in AWS Cloud
Work in an Agile methodology using Scrum and Kanban boards
Enabling the development teams with Cloud best practices and having knowledge of AWS Well architected Framework
Collaborate with cross-functional teams to design and implement scalable and reliable solutions
Improve observability aspects end to end of the Applications running in Cloud
Requirements
Bachelor’s degree or equivalent combination of education and experience
Senior Systems Engineer to join the tech team and help build the future of neuro-contextual advertising at global scale, focusing on platform reliability, security, and developer enablement.
Lead design and build of high‑performance, cloud‑native applications and AI agentic platforms on GCP and Azure, driving DevOps practices and mentoring engineering teams.
Responsibilities
Design and build mission‑critical, highly available applications on Google Cloud Platform and Microsoft Azure
Architect, build, and deploy containerized microservices using Kubernetes, including networking, ingress, service mesh, and Helm charts
Develop full‑stack software in Python and Go, implementing modern client‑server patterns, REST/gRPC APIs, and event‑driven architectures
Create and evolve AI agentic platforms with Model Context Protocol (MCP) servers, gateways, and Agent‑to‑Agent orchestration
Define and enforce enterprise‑grade authentication and authorization frameworks (OAuth2, OIDC, mTLS, SPIFFE/SPIRE, RBAC/ABAC)
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field, or equivalent experience
Site Reliability Engineer to scale platform reliability, observability, and operations
Responsibilities
Design, build, and maintain scalable infrastructure for real-time analytics and machine learning workloads
Improve system reliability and performance through automation, observability, and proactive capacity planning
Respond to customer support and site operations issues in a timely manner with call-in rotation
Own and evolve CI/CD pipelines, deployment automation, rollback mechanisms, and config management
Own processes around Supercomputing facility physical support, device management, inventory, basic network and system administration, NVidia DGX cluster administration and advanced datacenter systems
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