Responsibilities

We are looking for an exceptional Senior Site Reliability Engineer to join our growing team. If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services, and the chance to work with cutting edge technologies like Kubernetes, Kafka, Serverless, ArgoCD and more, then this might be the position for you!

In this role, you will also be responsible to:

• Running the production environment to provide the highest levels of uptime, performance, and reliability.

• Identify toil in the day-to-day operations and automate whatever can be automated

• Work with development teams to make sure the applications are production-ready, scalable, reliable, and observable from day zero

• Identify and drive opportunities to improve automation for code deployment, management, and visibility of application services

• Establish end-to-end monitoring and alerting on all critical components within the platform

• Participate in the on-call rotation, supporting the platform and production applications

• Manage end-to-end availability and performance of critical services and build automation

• Perform root cause analysis on issues, and participate in blameless post-mortems so we can learn from incidents and automate them out of recurrence

• Independently troubleshoot complex systems and environments including applications, microservices, DNS, and networking components

• Create load test scenarios and streamline their execution so performance regressions can be caught pre-production

• Enable developers and product teams to move rapidly with features without sacrificing reliability, availability, and overall performance of our systems

• Participate in architecture reviews and work cross-functionally with Engineering teams on operational readiness and tactical day-to-day scenarios

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput

• Identify performance bottlenecks and triage with Engineering teams to design and implement a secure and performant solution

• Guide development teams towards security, reliability, and availability best practices during the SDLC

• Daily and Monthly Responsibilities

• Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding

• Partner with development teams to improve services through rigorous testing and release procedures

• Participate in system design consulting, platform management, and capacity planning

• Create sustainable systems and services through automation and uplifts

• Balance feature development speed and reliability with well-defined service level objectives and service-level indicators to honor SLAs

Requirements

Qualifications / Experience / Technical Skills

• Experience administering Kubernetes-based microservices, ingress controllers, web servers (nginx), and databases (Postgres, MySql, MongoDB; Desirable - Redis, Clickhouse)

• Strong experience with AWS technologies such as EKS, ELB, RDS, S3/EBS/Glacier and VPC

• Experience architecting highly scalable, fault tolerant, secure, and available systems within the AWS ecosystem

• Strong troubleshooting experience in the realm of networking fundamentals, web applications, and DNS

• Hands-on experience developing automation to streamline development processes

• Experience working with modern CI/CD tools such as CircleCI, ArgoCD, CodeShip, GitHub Actions, or similar solutions

• Experience with Infrastructure as Code tools (e.g. Terraform, CloudFormation)

• Ability to program (structured and OO) with one or more high level languages, such as Python, Java, C/C++, Ruby, and JavaScript.
  

Preferred Experience

• Operating Kubernetes clusters in a compliance regulated environment

• Experience performing stress-testing, failure analysis, and load testing apps

• Experience with cloud and infrastructure security regulations & compliance programs: SOC2, ISO27001, HIPAA, GDPR, CCPA

• Experience with ML Ops: Spark, TensorFlow, GPUs
  

Soft Skills / Personal Characteristics

• BS or MS from a top-notch CS program (or equivalent experience)

• 5+ years professional experience in hands-on engineering roles (DevOps/SRE);

• 3+ years operating high-traffic production environments in public clouds: AWS, GCP, or Azure

• Python programming experience in production environments

• Experience with modern cloud environments: containerization, infrastructure-as-code, devops, CI/CD pipelines and general automation

• Hands on experience with network security, databases systems and related tools

• English speaking and writing