Senior site reliability engineer

2 days ago

Pune, India Pattern® Full time
The role of our Site Reliability Engineer encompasses software, systems, and operations engineering. If you have a passion for constructing stable, scalable systems for an expanding array of innovative products and enjoy easing the deployment process for our engineering team, then Pattern is the ideal workplace for you. Join us in building a best-in-class platform for remarkable growth.
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 (Ia C) 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
Bachelor’s degree in a technical field or relevant work experience.
6+ years of experience in engineering, development, Dev Ops/SRE fields.
3+ years experience deploying and managing systems using Amazon Web Services.
Proven “doer” attitude with the ability to self-start, and 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, Cloud Formation, Ansible, Puppet.
Experience working with CI/CD automated deployments using tools like Github Actions, Jenkins, Circle CI.
Experience working on observability tools like Datadog, New Relic, 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.
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, Cloud Front.
Experience in deploying applications built using Java Script, Ruby, Go, Python.
Experience with Infrastructure as Code (Ia C) 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.
What We're About
Data Fanatics: Our edge is always found in the data
Partner Obsessed: We are obsessed with partner success
Team of Doers: We have a bias for action
Game Changers: We encourage innovation

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