Site Reliability Engineer, Fractal
$90-170k
5 days a week in office
AI-driven data analytics platform
Open for applications
AI-driven data analytics platform
1001+ employees
Open for applications
$90-170k
5 days a week in office
1001+ employees
Company mission
To reshape business through science and advanced data tools and uncomplicate decision-making, so human intelligence can be freed from the drudgery of monotonous work and committed to the pursuit of imagination and creative rewards.
Role
Who you are
- Have interest and ability to become certified on the end client AI platform. (We will provide all the necessary training and support)
- Bachelor’s or master’s degree in computer science, a related field, or equivalent professional experience
- 3+ years of experience as an SRE, DevOps Engineer, or related role
- Strong expertise in Jenkins administration and writing complex pipelines in Groovy
- Hands-on experience with Kubernetes in production environments (managing clusters, deployments, services, and pods)
- Proficiency in cloud platforms like AWS, GCP, or Azure, including managing infrastructure via IaC tools like Terraform, CloudFormation, or equivalent
- Familiarity with monitoring tools like Prometheus, Grafana or equivalent
- Experience with Helm, and managing Kubernetes applications via Helm charts
- Strong scripting and automation skills in languages like Bash, Python, or Groovy
- Experience with CI/CD tools, GitOps, and best practices for continuous integration and delivery pipelines
- Understanding of networking concepts and security best practices in a cloud-native environment
- Incident management experience, including setting up on-call rotations, managing runbooks, and post-incident reviews
What the job involves
- We are seeking a highly skilled Site Reliability Engineer (SRE) to join our team to manage, monitor, and optimize our Jenkins and C3 clusters on Kubernetes
- You will be responsible for ensuring the reliability, scalability, and performance of our CI/CD infrastructure, while also authoring and managing complex Jenkins pipelines using Groovy scripting
- Deploy, Manage, and Scale Jenkins Clusters: Design, implement, and manage Jenkins clusters, ensuring high availability and optimal performance across all environments
- Author and Maintain Jenkins Pipelines: Write, update, and maintain complex Jenkins pipelines using Groovy to automate CI/CD processes for various development teams
- Monitor and Manage C3 Clusters: Ensure the stability, health, and scalability of C3 Clusters, deploying applications and services on Kubernetes
- Kubernetes Management: Deploy, monitor, and scale applications on Kubernetes clusters. Maintain Helm charts, manage services, and ensure resource allocation for optimal cluster performance
- Cloud Infrastructure Management: Work with leading Cloud Platforms (AWS, GCP, Azure) to set up, configure, and manage infrastructure resources using Infrastructure as Code (Terraform, CloudFormation, etc.)
- Monitoring & Incident Response: Set up monitoring solutions, define alerts, and manage the incident response process for any issues related to Jenkins, C3, or Kubernetes clusters
- Automate Infrastructure Processes: Build automation tools for scaling, monitoring, and maintaining infrastructure using modern tools like Terraform, Ansible, or equivalent
- Collaborate Across Teams: Work closely with development, DevOps, and operations teams to ensure smooth CI/CD workflows and a seamless integration between application development and infrastructure
- Security & Compliance: Ensure all systems follow best practices in terms of security and compliance with relevant regulations. This includes role-based access, encryption, and automated vulnerability scanning
Our take
The analysis of business data is essential in making operational changes based on forecasting, managing supply chains, and optimizing revenue, but the mass of available data can be overwhelming. This can sometimes be combatted with the power of AI-driven data analysis tools, but existing solutions are usually designed to solve specific problems within specialized industries.
Fractal develops AI-driven tools and platforms for businesses, including a conversational AI platform called Senseforth, a revenue growth AI tool called Samya, AI algorithms for medical imaging named Qure, and an all-in-one data analytics platform called Crux Intelligence. The company develops its solutions to be flexible and applicable within a wide range of industries including consumer packaged goods, healthcare, financial services, and media.
Whilst AI-driven business tools are commonplace, Fractal has taken the smart approach of developing a suite of flexible AI tools that can tackle problems in many industries, as opposed to focusing on a specific problem or industry. This strategy has positioned the company well for continued growth and impact, reflecting its broad applicability and potential in the market.
Steph
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2022
$360m
GROWTH EQUITY VC
Jan 2019
$200m
GROWTH EQUITY VC
Total funding: $685m
Company values
- Client first - Always do what's best for the client
- Learn and grow - Nurture and grow exceptional professionals
- Think big, act fast - Challenge the status quo and execute with speed
- Extend extreme trust and be accountable - Assume positive intent of others and hold each other accountable
Company HQ
World Trade Center, New York, NY
Articles
Leadership
Pranay Agrawal
(CEO)Experience as Associate for ANZ Grindlays Bank. Manager at ICICI bank from 1998 to 2000.
Srikanth Velamakanni
(Executive Vice Chairman)Experience as Assistant Manager of ICICI Bank. Co-founder and Trustee of Plaksha University since 2018.
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