Senior Site Reliability Engineer - US Shift

Senior SRE - SaaS
Our SRE role spans software, systems, and operations engineering. If your passion is building stable, scalable systems for a growing set of innovative products, as well as helping to reduce the friction for deploying these products for our engineering team, Pattern is the place for you. Come help us build a best-in-class platform for amazing growth.

This position requires working during US business hours. ( MST Time Zone)

Key Responsibilities
● Infrastructure and Automation
Design, build, and manage scalable and reliable infrastructure in AWS (Postgres, Redis, Docker, Queues, Kinesis Streams, S3, etc.)
Develop Python or shell scripts for automation, reducing operational toil.
Implement and maintain CI/CD pipelines for efficient build and deployment processes using Github Actions.
● Monitoring and Incident Response
Establish robust monitoring and alerting systems using observability methods, logs, and APM tools.
Participate in on-call rotations to respond to incidents, troubleshoot problems, and ensure system reliability.
Perform root cause analysis on production issues and implement preventative measures to mitigate future incidents.
● Cloud Administration
Manage AWS resources, including Lambda functions, SQS, SNS, IAMs, RDS, etc. Perform Snowflake administration and set up backup policies for various databases.
● Reliability Engineering
Define Service Level Indicators (SLIs) and measure Service Level Objectives (SLOs) to maintain high system reliability.
Utilise Infrastructure as Code (IaC) tools like Terraform for managing and provisioning infrastructure.
● Collaboration and Empowerment
Collaborate with development teams to design scalable and reliable systems.
Empower development teams to deliver value quickly and accurately.
Document system architectures, procedures, run books and best practices.
Assist developers in creating automation scripts and workflows to streamline operational tasks and deployments.
● Innovative Infrastructure Solutions
Spearhead the exploration of innovative infrastructure solutions and technologies aligned with industry best practices.
Embrace a research-based approach to continuously improve system reliability, scalability, and performance.
Encourage a culture of experimentation to test and implement novel ideas for system optimization.

Required Qualifications:
Bachelors degree in a technical field or relevant work experience
6+ years of experience in engineering, development, DevOps/SRE fields
3+ years experience deploying and managing systems using Amazon Web Services
3+ years’ experience on Software as a Service (SaaS) application.
Proven “doer” attitude with ability to self-start, take a project to completion. Demonstrate project ownership.
Familiarity with container orchestration tools like Kubernetes, Fargate, etc.
Familiarity with Infrastructure as Code tooling like Terraform, CloudFormation, Ansible, Puppet
Experience working with CI/CD automated deployments using tools like Github Actions, Jenkins, CircleCI
Experience working on observability tools like Datadog, NewRelic, Dynatrace, Grafana, Prometheus, etc.
Experience with Linux server management, bash scripting, SSH keys, SSL/TLS certificates, MFA, cron, and log files
Deep understanding of AWS networking (VPCs, subnets, security groups, route tables, internet gateways, NAT gateways, NACLs), IAM policies, DNS, Route53, and domain management
Strong problem-solving and troubleshooting skills
Attention to Details: Thoroughness in accomplishing tasks, ensuring accuracy and quality in all aspects of work.
Excellent communication and collaboration abilities
Desire to help take Pattern to the next level through exploration and innovation

Preferred Qualifications:
Experience in deploying applications on ECS, Fargate with ELB/ALB and Auto Scaling Groups.
Experience in deploying serverless applications with Lambda, API Gateway, Cognito, CloudFront.
Experience in deploying applications built using JavaScript, Ruby, Go, Python. Experience with Infrastructure as Code (IaC) using Terraform.
Experience with database administration for Snowflake, Postgres.
AWS Certification would be a plus.
A focus on adopting security best practices while building great tools.

Shift Detail:
This position requires working during the US shift hours, which corresponds to the night shift in India.
Primarily to support Mountain Time.
Flexibility to work during these hours is essential to ensure seamless collaboration with the US-based teams and to provide timely support for any incidents or operational tasks.