Jobgether is seeking a Senior Cloud Infrastructure Engineer to lead architectural strategy, implement best practices for cloud operations, and drive automation across CI/CD and SDLC pipelines.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Infrastructure Engineer in United States.
This role offers the opportunity to shape and maintain scalable, secure, and highly available cloud infrastructure supporting AI and SaaS products. The Senior Infrastructure Engineer will lead architectural strategy, implement best practices for cloud operations, and drive automation across CI/CD and SDLC pipelines. You will collaborate with engineering leadership and cross-functional teams to ensure infrastructure aligns with long-term business goals while fostering reliability, performance, and operational excellence. The position emphasizes ownership, technical leadership, and proactive problem-solving in a fast-paced, remote work environment. Candidates will have the chance to improve processes, mentor peers, and influence infrastructure culture across the organization. Strong cloud expertise, particularly in AWS, combined with a passion for innovation and continuous improvement, is key to success.
Accountabilities
- Design, implement, and maintain scalable and secure cloud infrastructure across AWS and Azure
- Define and enforce best practices for infrastructure as code (IaC), container orchestration, and automated deployments
- Lead automation of SDLC and CI/CD pipelines to accelerate development and delivery
- Serve as a subject matter expert on cloud architecture, containerization, observability, and high-availability systems
- Lead incident response, post-mortems, and continuous improvement initiatives for infrastructure reliability
- Collaborate with engineering leadership and cross-functional teams to align infrastructure strategy with business objectives
- Identify and mitigate risks, proactively closing gaps before they impact operations
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- 5-7+ years of hands-on experience in cloud infrastructure, DevOps, or Site Reliability Engineering (SRE)
- Expert-level AWS skills, including EC2, ELB, ASG, RDS, S3, SQS, Lambda, IAM, VPC, CloudFormation, CDK, and Route 53
- Experience with Linux administration, networking, VPNs, firewalls, and multi-region cloud environments
- Deep expertise in Infrastructure as Code, container orchestration, Docker, Kubernetes, and CI/CD pipelines
- Proficiency in scripting and automation with Python, Bash, or Ansible
- Strong understanding of cloud monitoring, logging, and observability tools (e.g., CloudWatch, Datadog, Azure Monitor)
- Excellent written and verbal communication skills, with the ability to translate technical tradeoffs for stakeholders
- Preferred: Azure experience, serverless architectures, high-availability architectures, and compliance knowledge (SOC, ISO, GDPR)
- Proven ability to take ownership, mentor team members, and influence technical direction in a fast-growing environment
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- Competitive salary and equity opportunities in a high-growth, Series B startup environment
- Fully remote work with flexible scheduling
- Access to cutting-edge technologies and the opportunity to lead infrastructure strategy for AI-driven products
- Professional growth through mentoring, technical leadership opportunities, and cross-functional collaboration
- Strong culture of innovation, learning, and continuous improvement
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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