Senior Infrastructure Engineer

### Who you are
- You take ownership naturally — you see what needs to happen and you make it happen, and when you commit to something, it gets done
- You think and communicate beyond your immediate scope. You invest in the people around you, take informed positions on technical direction, and make the team stronger — not just the codebase
- You bring genuine energy and drive. You're energized by ambiguity, you raise the bar for yourself and others, and you don't settle for "good enough" when better is possible
- 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 — you can translate tradeoffs for engineers and stakeholders alike
- 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
- Experience in a high-growth, regulated industry (Fintech), specifically in architecting and scaling infrastructure to maintain reliability and compliance under rapid user and transaction volume growth
- Proven technical leadership experience, including improving infrastructure processes
- AWS Professional-level certifications (Solutions Architect Professional, DevOps Engineer Professional)
- Knowledge of event-driven architectures (SNS, SQS, EventBridge)
- Experience in cost optimization strategies for AWS environments
- Experience in compliance frameworks (SOC, NIST, ISO, CCPA, GDPR)
- Experience integrating AWS services with third-party tools for observability and security
- Experience with single-tenant and multi-tenant architectures, as well as client on-premises deployment systems
- Familiarity with scalable, reproducible ML pipelines, tools, and frameworks (Kubeflow, MLflow, Amazon SageMaker)
- Data engineering experience and large-scale data processing and storage
- Knowledge of Jira and Confluence, including best practices for ticket management and KPI tracking

### What the job involves
- We're looking for a Senior Infrastructure Engineer to lead the design, implementation, and ongoing evolution of our cloud infrastructure
- This is a role for someone who brings both technical depth and genuine curiosity — someone who sees an opportunity to improve something and goes after it, who takes problems end-to-end, and who makes the engineers around them better just by being present
- You'll partner closely with engineering leadership and cross-functional teams to ensure our infrastructure strategy stays ahead of our product ambitions
- You'll also be a key voice in shaping how we build — our standards, our reliability posture, and our operational culture
- 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