Drivetrain

Integrates cross-department data for real-time BI

Senior Site Reliability Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours

Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

At least 5 years of hands-on experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure roles; experience in a fast-paced SaaS environment is preferred.
Proven proficiency in AWS, including EC2, EKS, RDS, VPC, IAM, and S3, and GCP, including GKE, Compute Engine, Cloud SQL, IAM, and Cloud Storage; ability to navigate and optimize multi-cloud architectures.
Expert-level knowledge of Docker and Kubernetes, including advanced deployment strategies and lifecycle management.
Strong programming skills in Python and extensive experience with Terraform.
Hands-on expertise building dashboards and alerting systems using Prometheus, Grafana, and ELK/EFK log aggregation stacks.
Solid understanding of cloud networking, including VPC peering, load balancing, and DNS, and zero-trust security principles in a containerized environment.

Responsibilities

Architect, manage, and continuously optimize highly available cloud infrastructure across AWS and GCP, balancing workload demands for cost-efficiency, scalability, and security compliance.
Lead the design, deployment, and management of scalable Kubernetes clusters; use Kustomize to enforce standardized, repeatable, automated deployment configurations across environments.
Implement and maintain service mesh technologies such as Istio or Linkerd to secure, control, and observe service-to-service communication; drive container security practices, including image scanning, runtime protection, and strict role-based access control enforcement.
Architect, maintain, and optimize CI/CD pipelines using Git and Jenkins, reducing deployment friction, accelerating release velocity, and enforcing automated testing and security gates.
Write, review, and maintain Terraform modules to provision and manage cloud resources predictably and safely.
Develop Python scripts and tooling to automate routine maintenance, data backups, scaling operations, and system recovery processes.
Design and enhance the observability stack to provide real-time insights into system health; manage and scale Prometheus, Grafana, ELK/EFK, AWS CloudWatch, and GCP Operations Suite.
Lead reliability initiatives and drive capacity-planning exercises to anticipate platform growth.
Own the incident response lifecycle and facilitate blameless postmortems to identify actionable learnings.
Define, track, and enforce service level indicators, service level objectives, and service level agreements to ensure the platform meets its reliability guarantees.
Collaborate with software engineers early in the development lifecycle to ensure applications are designed for deployability, scalability, and resilience.
Identify system bottlenecks and architectural weaknesses, contribute to process improvements, build internal developer tooling, and maintain documentation to improve team productivity and system understanding.

Desired Qualifications

Experience in a fast-paced SaaS environment.

Drivetrain is on a mission to empower businesses to make better decisions. Our financial planning & decision-making platform helps companies scale and achieve their targets predictably.

Drivetrain is a remote-first company headquartered in the San Francisco Bay Area. Founded in 2021 by a couple of ex-Googlers, Drivetrain is a fast-growing company on a trajectory for success with backing from leading venture capital firms.

Drivetrain provides a great culture for its employees to thrive in and be happy.

💜 Remote-friendly: Drivetrain brings together the best and the brightest, no matter where they are and provides them a great degree of autonomy. We trust our people.

🗣️ Open & transparent: We know that when our creators have access to all the information they need, their best work will emerge.

👏 Idea-friendly: We provide an environment to explore new ideas, to take risks, to make mistakes, and to learn, so you can succeed. Anyone in the company can come up with great ideas and become a catalyst for positive change. We let the best ideas win.

👥 Customer-centric: We follow a product-led growth strategy, continuously learning from our customers and collaborating to build the amazing software that Drivetrain is.

As a Senior Site Reliability Engineer at Drivetrain, you will be a cornerstone of our engineering organization, ensuring our fast-growing SaaS platform remains highly available, performant, and secure. At this stage of our growth, scaling infrastructure efficiently while maintaining the rigorous security and reliability standards required for financial data is paramount. You will take ownership of our multi-cloud infrastructure, drive automation, champion observability, and collaborate closely with development teams to build a culture of reliability from code commit to production.

Key Responsibilities

Cloud Infrastructure & Orchestration

Multi-Cloud Management: Architect, manage, and continuously optimize highly available cloud infrastructure across both AWS and GCP. Balance workload demands to ensure maximum cost-efficiency, scalability, and strict security compliance across both platforms.
Advanced Kubernetes Orchestration: Lead the design, deployment, and management of scalable Kubernetes clusters. Utilize configuration management tools like Kustomize to enforce standardized, repeatable, and automated deployment configurations across all environments.
Service Mesh & Security Integration: Implement and maintain service mesh technologies (e.g., Istio, Linkerd) to secure, control, and observe service-to-service communication. Drive container security best practices, including image scanning, runtime protection, and strict RBAC enforcement.

CI/CD & Automation

Pipeline Engineering: Architect, maintain, and optimize robust CI/CD pipelines using Git and Jenkins. Focus on reducing deployment friction, accelerating release velocity, and enforcing automated testing and security gates.
Infrastructure as Code (IaC): Treat infrastructure as software. Write, review, and maintain Terraform modules to provision and manage cloud resources predictably and safely.
Operational Automation: Aggressively reduce operational toil. Develop robust Python scripts and tooling to automate routine maintenance, data backups, scaling operations, and system recovery processes.

Observability & Reliability

Comprehensive Monitoring: Design and enhance our observability stack to provide deep, real-time insights into system health. Manage and scale tools including Prometheus, Grafana, ELK/EFK stack, AWS CloudWatch, and GCP Operations Suite.
Reliability Engineering: Spearhead reliability initiatives critical to a scaling SaaS platform. Drive rigorous capacity planning exercises to stay ahead of growth.
Incident Management & SLOs: Own the incident response lifecycle. Facilitate blameless postmortems to extract actionable learnings. Define, track, and enforce SLIs, SLOs, and SLAs, ensuring the platform consistently meets its reliability guarantees.

Collaboration & Leadership

DevOps Culture: Act as an embedded reliability advocate. Collaborate closely with software engineers early in the development lifecycle to ensure applications are designed for deployability, scalability, and resilience.
Continuous Improvement: Proactively identify system bottlenecks and architectural weaknesses. Contribute to process improvements, build internal developer tooling, and maintain comprehensive documentation to elevate team productivity and system understanding.

Required Proficiency & Qualifications

Experience: 5+ years of hands-on experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure roles, preferably within a fast-paced SaaS environment.
Cloud Platforms: Deep, proven proficiency in AWS (EC2, EKS, RDS, VPC, IAM, S3) AND GCP (GKE, Compute Engine, Cloud SQL, IAM, Cloud Storage). Ability to navigate and optimize multi-cloud architectures.
Containerization: Expert-level knowledge of Docker and Kubernetes, including advanced deployment strategies and lifecycle management.
Automation/IaC: Strong programming skills in Python and extensive experience with Terraform.
Observability: Hands-on expertise building dashboards and alerting systems using Prometheus, Grafana, and log aggregation stacks (ELK/EFK).
Networking & Security: Solid understanding of cloud networking (VPC peering, load balancing, DNS) and zero-trust security principles in a containerized environment.

Sounds exciting? Apply at [email protected]. It may just be the next best decision you’ve ever made!

About the Company

Drivetrain

Integrates cross-department data for real-time BI

Drivetrain.ai offers a data platform that helps businesses streamline operations by integrating data from multiple departments (sales, marketing, HR, and customer success) into a single view. It enables real-time access to data and reporting, moving away from delayed monthly reports. The platform also provides a financial model template to plug in actuals and generate projections. Pricing is subscription-based, with revenue generated from customers using the platform. How it works: the platform connects and unifies data from various sources, then delivers dashboards, reports, and insights that support decision-making across teams. It emphasizes ease of use and real-time data access to serve as a strategic partner for sales and marketing teams. Goals: help businesses make data-driven decisions, improve cross-department collaboration, and provide forecasting tools to support financial planning.

Company size: 51-200
Company stage: Series A
Total funding: $15M
Headquarters: Bengaluru, India
Founded: 2021

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