Candidates should possess 8+ years of experience in SRE, DevOps, or infrastructure engineering with significant time operating production systems at scale. They must have deep hands-on experience with at least one major public cloud (AWS, GCP, Azure) and working knowledge of others, with Azure experience being a plus. Production experience with Kubernetes, including operating clusters, Helm, operators, and supporting microservices, is required, along with strong proficiency in infrastructure-as-…

Candidates must possess senior-level experience in a Site Reliability Engineering role, with a strong understanding of monitoring, troubleshooting, and disaster recovery. Extensive experience in writing production-quality code, preferably in Go, Python, or Typescript, is required. Proficiency with infrastructure as code and configuration management tools such as Terraform is essential. Experience managing monitoring dashboards with tools like Grafana and Prometheus to create actionable alerts is…

Candidates should possess extensive hands-on development experience in AWS/cloud, Linux/Unix, networking, advanced scripting, containerization, Kubernetes, Terraform, Information Security, deep debugging, and comprehensive monitoring/observability skills. A leading role in implementing, maintaining, and strategically evolving production infrastructure is expected.

Candidates should have 5+ years of experience building modern infrastructure systems for Senior 1 & 2 level roles, and 8+ years for Staff level roles, with experience as the final point of escalation in the support of mission critical production systems. Familiarity with AWS, Terraform, CircleCI, GitHub Actions, ArgoCD, Ansible, Elasticsearch, MongoDB, PostgreSQL, ClickHouse, Kubernetes, Loki, Tempo, Grafana, Mimir/Prometheus, and Argo Workflow is required.

Candidates should possess at least 8 years of relevant professional experience, ideally with a background in DevOps, infrastructure, SRE, or platform teams. A strong DevOps mentality, experience building and maturing a GitOps environment, and proficiency in software development beyond typical infrastructure configurations are essential. Demonstrable skills in shell scripting and at least one higher-level programming language, excellent Linux understanding, and expertise in designing, deploying, …

The Site Reliability Engineer should have 3+ years of experience in Site Reliability Engineering (SRE), DevOps, or a similar role, 1+ years of hands-on experience with AWS services including ECS, EKS, CloudWatch, Lambda, CloudFront, S3, and DynamoDB, 1+ years of experience with observability and monitoring tools such as CloudWatch, Sentry, Grafana, or Prometheus, and basic proficiency in Terraform for infrastructure-as-code implementation. Strong troubleshooting and problem-solving skills, along…

Candidates should possess a Bachelor’s degree in Computer Science or a related field, and have at least 3 years of experience in software engineering, with a preference for experience in Site Reliability Engineering. Strong experience with cloud infrastructure, particularly AWS, is required, along with a solid understanding of CI/CD processes and automation tools. A passion for AI and automation technologies is highly desired.

Candidates must possess at least 8 years of experience in designing and operating cloud-native systems at scale, with expertise in infrastructure-as-code and CI/CD automation using tools like Terraform or Pulumi. A strong software engineering background in languages such as Go, Python, or TypeScript is required, along with deep familiarity with container orchestration like Kubernetes. Proven ability to lead by influence, drive team alignment through technical documentation, and mentor engineers …

Candidates should have 3+ years of experience in cloud infrastructure, platform engineering, or SRE, with at least 1 year of experience architecting AWS infrastructure. A minimum of 1 year of experience writing application layer code and familiarity with Infrastructure as Code tools like Terraform or CloudFormation are required. Understanding of AWS networking, including VPCs and VPNs, is necessary, along with a proven ability to drive engineering best practices for application performance, moni…

The ideal candidate will have experience with AWS Developer Tools, GitHub Actions, Terraform, Ansible, Packer, Datadog, AWS native tooling, and OpenTelemetry. A background in Site Reliability Engineering (SRE) principles and a focus on building secure, reliable, and maintainable infrastructure are essential.

The ideal candidate will possess at least 4 years of DevOps or SRE team leadership experience and 7 years of hands-on platform or infrastructure experience. A strong track record in self-service platform delivery, extensive AWS expertise with multi-region, high-throughput systems, proficiency in CI/CD, Infrastructure as Code (Terraform, Kubernetes), and deep understanding of observability tools like Datadog are essential. Familiarity with cloud security is also required.

Candidates should have 5+ years of experience as a software engineer, with a strong understanding of the modern backend stack, including experience with GCP or AWS, a modern language, container orchestration, and tools such as Chef or Ansible. Familiarity with Elixir, Terraform, Kubernetes, and AWS is preferred.

Candidates should have 7+ years of experience designing, developing, and launching backend systems at scale using languages like Python or Kotlin, 7+ years of experience in a Site Reliability or Production Engineering team, and a Bachelor’s degree in a related field or equivalent practical experience. They should demonstrate curiosity with empathy and strong opinions loosely held, and experience delivering major features, system components, or deprecating existing functionality through the defin…

Candidates should have proven Site Reliability Engineering and DevOps experience, with demonstrated experience in managing complex, large-scale production environments. Experience with cloud platforms such as GCP, AWS, or Azure is required, along with expertise in automation tools and frameworks, monitoring solutions like Prometheus, Grafana, and the ELK stack, and CI/CD pipelines for machine learning models.

Candidates must possess strong programming skills in at least one language such as Python, Go, or Java, and be familiar with multiple language ecosystems. A solid understanding of operating systems, networking, distributed systems, databases, and storage architectures is required, along with a deep comprehension of how code runs on underlying hardware, including operating systems and algorithms.