Software Engineer - AI Security Plane

Establish repeatable deployment practices

Implement structured release workflows

Own reliability and performance of Android platform.

Design connectivity layers for MQTT, WiFi/Bluetooth, and offline-first sync.

Develop next-gen automation platforms

Design resilient multi-cloud architectures

Build and scale real-time streaming data systems

Enhance platform's reliability, observability, and scalability

Design and implement enterprise iOS apps and libraries

Collaborate with business teams and product management

Develop and maintain Java applications for high-performance systems

Build event-driven microservices using Kafka

Design and build scalable backend services and APIs

Collaborate with product management on new product ideas

Containerize and deploy microservices using Kubernetes on AWS

Maintain live production systems and improve processes with Docker/Kubernetes

Develop secure and accessible iOS apps compliant with HIPAA/WCAG.

Collaborate across teams for end-to-end feature ownership.

Designing scalable data pipelines

Contributing to architecture decisions

Work with clients on big data challenges

Provide data engineering, data science, and cloud projects

Building and evolving Kotlin frameworks for mobile infrastructure

Improving app startup, responsiveness, and memory usage

Lead the reliability and security of a distributed platform

Manage infrastructure as code and cloud architecture

Design, implement, and manage scalable AWS infrastructure

Build and maintain CI/CD pipelines

Lead and manage an Agile engineering team

Develop and maintain high-quality data pipelines

Lead multiple engineering teams for SaaS on AWS

Develop scalable technical strategy

Build mobile banking features for iOS/Android platforms.

Collaborate with cross-functional teams to release features.

Manage Salesforce user/license and platform health

Lead bi-weekly releases with planning and validation

Design and implement firmware for embedded devices

Manage project tasks and day-to-day activities

Build scalable, secure cloud infrastructure

Design and implement CI/CD pipelines and tooling

Lead application security direction and design frameworks

Architect and automate security controls at scale

Lead and manage engineering team

Own platform tech direction

Lead identity security initiatives

Implement and improve IAM systems

Lead Service team in microservices development

Drive architecture decisions and strategies

Leading a team at the product engineering and delivery intersection

Developing tooling and automation for repeatable deployments

Lead the infrastructure reliability and security of a messaging platform

Design and evolve GCP infrastructure using Terraform

Lead SPAs with Angular

Build and maintain scalable frontend interfaces

Drive technical product adoption and integration

Provide strategic advice for AppSec

Lead Cortex onboarding and implementation for UK clients

Act as the main technical point of contact during implementations

Scale tooling workflows for AI team

Improve developer experience

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