Senior Infrastructure Engineer
C
CandidlyFintech
Remote - USAFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5–7+ years
- Required Skills
- AWSDockerPythonBashKubernetesMySQLAzurePostgresLinuxNetworkingAnsibleRedshiftDatadogAWS LambdaCloudFormation
Requirements
- 5–7+ years of hands-on experience in cloud infrastructure, DevOps, or Site Reliability Engineering (SRE)
- Expert-level AWS knowledge: EC2, ELB, ASG, RDS, S3, SQS, Lambda, IAM, VPC, CloudFormation, CDK, and Route 53
- Solid understanding of Linux administration and networking concepts (VPNs, VPC peering, NAT, DNS, firewalls)
- Deep experience with Infrastructure as Code (IaC) for container orchestration at scale using CloudFormation, AWS CDK, Docker, and Kubernetes
- Excellent written and verbal English communication
- Comfortable working remotely and independently
- Moderate-level Azure experience, with comfort operating across multi-cloud and multi-region environments
- Expertise in CI/CD pipelines (AWS CodePipeline, GitLab CI, or similar)
- Strong proficiency in scripting and automation using Python, Bash, and Ansible
- Deep understanding of monitoring and logging with systems and strategies (AWS Cloudwatch, Datadog, Azure Monitor)
- Hands-on experience with high-availability architectures and auto-scaling strategies
- Solid grasp of AWS security best practices: IAM, encryption, Secrets Manager, and security auditing
- Experience with databases (MySQL, Postgres, Redshift)
- Familiarity with serverless architectures (AWS Lambda, Fargate)
- Knowledge of database replication strategies
Responsibilities
- Lead the design and implementation of scalable, secure, and resilient cloud infrastructure across AWS and Azure, supporting both Candidly's AI and SaaS products
- Drive the architectural vision and strategy, ensuring alignment with long-term business goals and surfacing risks before they become problems
- Own and enforce best practices for infrastructure as code (IaC), CI/CD, and automated deployments
- Take the lead on automating and accelerating SDLC processes — identifying bottlenecks in how we build and ship, and designing solutions that make the whole pipeline faster and smoother, whether that involves AI-assisted tooling or traditional automation
- Serve as a subject matter expert on cloud architecture, containerization, and observability
- Lead incident response and post-mortems with a focus on systemic improvement, not just immediate fixes
- Proactively identify and close gaps before they compound
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