Senior Network Engineer (AWS Focus)

Lead Data Engineer - AWS

Senior DevOps Engineer (AWS)

Security Engineer, AWS Proactive Security

The role involves performing manual security assessments and penetration testing on AWS services to verify the efficacy of security fixes. You will also develop automated tooling and proof-of-concept code to identify and remediate security vulnerabilities across the AWS ecosystem.

Cloud Infrastructure Engineer – AWS

The engineer will architect, deploy, and operate secure, scalable, and highly available AWS cloud environments for enterprise production workloads. They are also responsible for developing infrastructure as code, managing container platforms, and driving cloud optimization and security initiatives.

Principal DevOps Engineer (AWS, Kubernetes, SaaS)

You will operate and evolve multi-tenant infrastructure on AWS and Kubernetes to support a scaling SaaS product. You will also collaborate with cross-functional teams to ensure safe, automated release cycles and maintain high system security.

Data Engineer AWS | Python + PySpark

The Data Engineer will work on high-volume data projects using AWS infrastructure. Responsibilities include managing data pipelines, batch processes, and performing log analysis and troubleshooting.

Senior Security Engineer, AWS Security Verification & Validation Team

Lead complex security testing engagements for AWS architectures by applying expert reasoning and human judgment to identify high-consequence risks. Develop reusable security mechanisms, frameworks, and AI-augmented tools to enhance the team's testing effectiveness and drive resolution with stakeholders.

DevOps / SRE / DevSecOps Engineer (AWS) - Latin America, Remote

You will be responsible for designing and maintaining robust infrastructure, CI/CD pipelines, and containerized services on AWS. Additionally, you will manage incident response, on-call rotations, and ensure security compliance across complex systems.

Platform Engineer (AWS / Infra-as-Code)

The Platform Engineer will design, build, and maintain CI/CD pipelines and manage AWS infrastructure using Infrastructure-as-Code. They will also implement security best practices and collaborate with the product team to ensure system reliability and performance.

Staff ML Engineer – AWS Trainium & SageMaker

You will train and operate large-scale models on Amazon SageMaker using AWS Trainium hardware. You will also optimize PyTorch training code and build cost-aware production pipelines for enterprise clients.

Senior DevOps Engineer (AWS)

The Senior DevOps Engineer will be responsible for managing and scaling cloud infrastructure on AWS. They will also focus on automating deployment pipelines and ensuring system reliability.

Sr Machine Learning Engineer - AWS

Lead and mentor a junior team in the development, training, and deployment of machine learning models on AWS. Define MLOps best practices, monitor model performance, and ensure reliability and explainability in production environments.

Associate Cloud Security Engineer- AWS- Remote (Anywhere in the U.S.)

The Associate Cloud Security Engineer will assist with security assessments, architecture reviews, and the implementation of cloud-native controls within AWS environments. They will work under the guidance of senior consultants to document findings, support client deliverables, and participate in discovery sessions.

AWS ENGINEER – DATA PLATFORMS

Design, implement, and operate scalable, cloud-native data pipelines and platform components on AWS. Build and maintain ETL/ELT workflows, data lakes, and event-driven architectures while ensuring platform performance and security.

Senior DevOps Engineer - AWS

You will be responsible for designing, implementing, and maintaining scalable cloud infrastructure on AWS using Infrastructure as Code. Additionally, you will collaborate with development teams to optimize system performance, security, and deployment workflows.

Senior AWS DevOps Engineer - AWS, Kubernetes, HCP, CI/CD, Observability with AI-focus (REMOTE) 13 applicants

The engineer will design, develop, and sustain AWS cloud platform capabilities, including Kubernetes operations and CI/CD pipeline implementation. They will collaborate with cross-functional teams to translate mission requirements into secure, reliable, and maintainable technical solutions.

Software Engineer – AWS

You will be responsible for internalizing and hardening AWS services within the LocalStack emulator to ensure high parity with real AWS environments. Additionally, you will act as a first responder for customer-reported parity bugs and contribute to the team's testing infrastructure.

Senior DevOps Engineer (AWS, Terraform)

Design, build, and maintain core platform components including CI/CD, access management, and compute clusters. Lead the evolution of platform abstraction layers and manage multi-account AWS landing zones.

Senior DevOps Engineer (AWS, Terraform)

Design, build, and maintain core platform components including CI/CD, observability, and multi-account AWS landing zones. Lead the evolution of platform abstraction layers and provide architectural guidance to engineering teams.

Senior Platform Engineer - AWS

You will lead the design and automation of modern digital service platforms while ensuring they are scalable, secure, and performant. Additionally, you will mentor junior team members and collaborate across multidisciplinary teams to support services through their live operations.

Cloud Platform Engineer (AWS)

The Cloud Platform Engineer will own, automate, and secure the AWS cloud infrastructure supporting the organization's digital ministry. Responsibilities include managing CI/CD pipelines, ensuring high availability, and implementing robust security controls across the environment.

DevOps / SRE / DevSecOps Engineer (AWS) - Remote, Latin America

You will design and maintain robust infrastructure and CI/CD pipelines while ensuring high availability and security for client applications. The role involves incident response, on-call rotations, and collaborating with cross-functional teams to optimize system performance and reliability.

AWS Engineer (AI/ML) - Up to £75k

You will deliver customer projects across GenAI, machine learning, and AWS infrastructure, including building agents and training pipelines. You will also contribute to broader AWS engagements, such as Landing Zone deployments and migrations, while owning technical implementation and documentation.

Lead Platform Engineer (AWS)

You will lead teams in designing, automating, and optimizing modern digital service platforms while fostering a DevOps culture. Additionally, you will provide technical leadership, mentor staff, and collaborate with cross-functional teams to deliver high-quality software solutions.

Software Engineer (AWS / Python) 13 applicants

The Software Engineer will design and maintain scalable backend cloud-native applications and data workflows using Python and AWS services. They will collaborate with cross-functional teams to build robust data processing pipelines and ensure system performance and security.

SR Data Engineer (AWS) 11 applicants

Design, build, and maintain high-throughput data pipelines and scalable cloud data warehouse architectures for financial transactions. Collaborate with cross-functional teams to implement data quality frameworks, governance standards, and automated CI/CD workflows.

LEAD SOFTWARE ENGINEER (AWS, REACT, NODE.JS)

Lead a product team as a hands-on Tech Lead, overseeing project structure, code reviews, and technical mentorship. Design and develop scalable, secure cloud-native applications using AWS, TypeScript, React, and Node.js.

Cloud Platform Engineer (AWS) 13 applicants

You will be responsible for managing and optimizing the AWS CI/CD ecosystem and implementing infrastructure as code using AWS CDK. The role involves collaborating within a dynamic team to maintain cloud infrastructure and ensure efficient deployment pipelines.

AI Engineer (AWS, Gen AI)

Design and develop Generative AI solutions using Amazon Bedrock and AWS cloud services to transition initiatives from experimentation to production. Collaborate with multidisciplinary teams to build scalable, secure, and maintainable enterprise AI architectures.