This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Development Engineer II, Cloud Platform based in United States.
The Software Development Engineer II, Cloud Platform will contribute to building and scaling the cloud infrastructure that supports a global engineering organization.
This role focuses on designing reliable, secure, and efficient cloud-native platforms that enable developers to deliver high-quality products faster.
You will work across infrastructure-as-code, Kubernetes, CI/CD, observability, and developer experience initiatives.
The position offers the opportunity to influence cloud architecture decisions and improve engineering productivity at scale.
You will collaborate with distributed teams in a highly technical, innovative environment that values automation and operational excellence.
This is an opportunity for an engineer who enjoys solving complex infrastructure challenges and shaping modern cloud platforms.
Accountabilities:The Software Development Engineer II, Cloud Platform will help design, maintain, and evolve cloud infrastructure platforms while improving reliability, scalability, and developer workflows. This role requires strong cloud engineering expertise, a commitment to automation, and the ability to collaborate across distributed technical teams.
- Build, maintain, and improve cloud-native infrastructure and deployment platforms following GitOps principles.
- Manage and expand AWS resources through infrastructure-as-code frameworks such as Terraform and Terragrunt.
- Maintain and troubleshoot existing cloud environments using technologies including CloudFormation, CDK, ECS, Lambda, and other AWS services.
- Design and promote Kubernetes-based deployments for new services, supporting scalable and reliable application delivery.
- Lead migration initiatives from legacy deployment approaches toward modern platforms such as EKS and ArgoCD.
- Develop and maintain centralized CI/CD frameworks using tools such as GitHub Actions and automated deployment solutions.
- Contribute to cloud architecture strategy, open-source tooling decisions, and infrastructure best practices.
- Configure and improve observability platforms to support monitoring, alerting, analytics, and operational visibility.
- Promote reliability engineering practices through testing, incident response, monitoring, and continuous improvement.
- Participate in on-call support and contribute to resilience initiatives, including incident reviews and operational improvements.
- Create clear technical documentation and communicate architecture decisions effectively across teams.
- Support a culture of collaboration, transparency, innovation, and data-driven engineering decisions.
Requirements:
The ideal candidate is a cloud infrastructure engineer with experience building scalable platforms and automation frameworks in complex engineering environments. You should have strong technical expertise, problem-solving skills, and the ability to work independently while collaborating effectively with distributed teams.
- 5+ years of experience managing AWS infrastructure using infrastructure-as-code tools such as Terraform, Terragrunt, Atlantis, CDK, or similar technologies.
- 4+ years of experience managing containerized workloads at scale using Kubernetes, EKS, ECS, or related platforms.
- Strong experience building and maintaining CI/CD systems in distributed engineering organizations using GitHub Actions or comparable tools.
- Advanced knowledge of Kubernetes, ArgoCD, Istio, and cloud-native deployment practices.
- Proven ability to design secure, reliable, and cost-efficient AWS solutions using services such as EKS, ECS, EC2, Lambda, Fargate, CloudFront, IAM, Route53, and DynamoDB.
- Proficiency in at least one programming language such as Python, Node.js, or Go.
- Experience implementing observability solutions using platforms such as Datadog, CloudWatch, or similar monitoring tools.
- Knowledge of incident response practices, resilience engineering, and blameless post-mortem processes.
- Strong documentation, communication, and knowledge-sharing skills with a willingness to mentor others.
- Ability to work asynchronously, prioritize effectively, and make independent decisions aligned with business goals.
- Interest in leveraging AI tools thoughtfully to improve engineering workflows and decision-making.
Benefits:
- Competitive annual base compensation ranging from $157,675 - $213,325 for most US locations, with higher ranges available for certain high-cost labor markets.
- Compensation determined based on qualifications, experience, skills, impact, role scope, and location.
- Remote work flexibility with support for distributed collaboration.
- Comprehensive healthcare benefits and employee support programs.
- Parental leave and benefits designed to support employees through different life stages.
- Opportunities for professional growth through teaching, learning, mentorship, and technical development.
- Inclusive workplace culture focused on collaboration, innovation, and diversity.
- Opportunity to work on large-scale cloud infrastructure challenges impacting a global engineering organization.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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