ML Ops Engineer, tvScientific

Lead Cortex onboarding and implementation for UK clients

Act as the main technical point of contact during implementations

Lead design, implementation, and maintenance of scalable ML infrastructure

Manage ML Model Deployment & Platform Management on Databricks

Lead and grow a team for Containers and Kubernetes

Drive next-gen Containers with AI/ML

Design and manage Terraform-managed GCP infrastructure

Build monitoring and incident response capabilities

Lead and support high-performing team

Drive continuous improvement in service operations

Design and maintain quality tooling for engineering teams

Build end-to-end test frameworks from scratch

Lead and own the reliability, security, and operational maturity of the distributed platform

Design and manage Terraform infrastructure across GCP services

Lead and mentor a high-performing team

Own the AIOps vision, strategy, and roadmap

Develop and maintain ML systems for health feature analysis

Collaborate with Data Engineers to enhance ML data pipelines

Create efficient development to production pipelines with fast feedback and safety.

Partner closely with product engineering teams to enhance engineering standards and release quality.

Lead and support Infrastructure Platforms team

Connect business goals with engineering

Lead design and development of internal tools

Implement and maintain build systems and CI/CD pipelines

Develop and implement advanced ML algorithms

Design and refine ML models

Design, build, and maintain a highly reliable and secure infrastructure on Google Cloud

Implement monitoring and incident response capabilities to ensure platform stability

Develop and maintain automated test strategies

Build scalable and maintainable automation frameworks

Lead global DevOps strategy and execution

Mentor and foster collaboration among DevOps teams

Develop and implement automated test strategies for web applications

Design and execute various automated tests

Architect and build scalable iOS apps using Swift and SwiftUI with a focus on security, performance, and reliability

Collaborate with cross-functional teams to deliver UX-driven solutions

Design and implement DB-driven workflows

Translate designs into production systems

Prototype and iterate on AI-driven insurance products

Deliver end-to-end prototypes and MVPs

Own and evolve GCP infrastructure using Terraform

Build monitoring and incident response capabilities

Seeking experienced infrastructure engineer

Responsibilities include infrastructure evolution and security

Ensure backward compatibility across evolving schemas

Build scalable data pipelines across various platforms

Develop and own scalable automation frameworks for vehicle software.

Build automated integration and end-to-end tests for SITL/HITL.

Boost AI agent productivity through infrastructure and tooling

Develop server integrations for AI agents

Architect core flight software to meet performance requirements

Integrate algorithms with the GNC team for ascent/descent

Define requirements, research vendors, and design/implement solutions

Drive standardized solutions across SpaceX

Design and implement high-speed CI/CD pipelines

Lead Python packaging and Conda environments

Design, develop, and maintain CI/CD pipelines

Collaborate with software developers and cloud engineers

Architect and scale a multi-tenant hybrid-cloud Kubernetes platform

Develop custom Kubernetes operators and self-service abstractions

Lead technical projects and manage deliverables effectively

Architect scalable systems linked to data science platforms

Build foundational platforms and tools for rapid, secure, and cost-effective service provisioning.

Exemplify cloud-native site reliability best practices.

Lead Frontend and Mobile Platform teams

Define client platform strategy across platforms

Lead and scale a TAM team for customer adoption and value realization

Develop scalable processes and playbooks for enterprise customers

Lead and manage Dev Tooling and SRE teams effectively

Improve communication and processes across teams

Develop front-end and back-end solutions with automated tests

Collaborate with product managers and engineers on high-impact projects

Lead platform reliability, security, and operational maturity

Design and manage Terraform-based GCP infrastructure

Lead and scale infrastructure and core platform domain

Enable AI-first delivery with LLM workloads and data pipelines

Setting and driving modern engineering standards

Providing hands-on technical leadership

Own end-to-end delivery for programs

Build program structures and roadmaps

Lead software teams towards production

Provide future-proof plans for engineers

Lead the reliability and security of a distributed platform on Google Cloud

Implement infrastructure as code and cloud architecture design

Architect and maintain cloud infrastructures

Lead containerization and orchestration with Docker and Kubernetes

Define long-term architecture for ML platform

Establish standards for code quality and testing

Design, deploy, and configure cloud services for migrations and AD

Implement security architectures for managed services offerings

Lead a Cloud Platform Engineering team

Architect scalable infrastructure on AWS

Collaborate with engineering to integrate security tooling

Automate security checks and feedback loops

Lead & support high-performing Infrastructure Platforms team.

Guide security, reliability, performance, and scalability of core platform components.

Design and manage Google Cloud infrastructure efficiently

Enhance security measures across network and application layers

Build and operate detection and response pipelines in the cloud environment

Implement controls to counter threats and enhance security measures