---
title: 'Site Reliability Engineer - SRE at Drivetrain'
canonical: 'https://feeny.ai/job/site-reliability-engineer-sre-drivetrain-india-5ygy69kjtnbb'
type: 'job'
last_seen: '2026-09-13'
---

# Site Reliability Engineer - SRE at Drivetrain

- **Company:** Drivetrain
- **Location:** India
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2025-09-01
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.lever.co/drivetrain/d1bc29ad-d0aa-47c8-8785-1094f279ccff

## Job description

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 careers@drivetrain.ai. It may just be the next best decision you’ve ever made!

## About Drivetrain

## Company Overview
- **One-liner**: Drivetrain is an AI-native strategic finance platform that helps finance teams modernize planning, reporting, and decision-making.
- **Entity Type**: Private (Series A, $15M total funding)
- **Headquarters**: Sunnyvale, California, United States (also offices in New York, San Francisco, Toronto, and Bengaluru)
- **Founded**: 2021
- **Founders**: Alok Goel (CEO & Co-founder), Tarkeshwar Thakur (CTO & Co-founder), Saurav Bhagat (Head of Product & Co-founder)

## Core Business
- **Primary Industry**: Financial Planning & Analysis (FP&A) software / SaaS for corporate finance.
- **Target Customers**: B2B – CFOs, finance teams, and strategic finance leaders at mid-market and enterprise companies.
- **Mission/Purpose**: “Enable businesses to make better decisions” by replacing spreadsheets and legacy systems with a modern, AI-driven platform.

## Products & Services
- **[Drivetrain Platform](https://www.drivetrain.ai)**: AI-native FP&A platform that unifies budgeting, forecasting, reporting, financial modeling, and variance analysis (BvA). Integrates with 90+ data sources (ERPs, CRMs, HRIS, billing systems) to deliver real-time, data-driven insights.

## Market Standing
- **Valuation**: Not publicly disclosed.
- **Annual Revenue**: $5M (Wellfound, 2025 estimate).
- **Total Funding**: $15M (Series A, October 2022).
- **Key Investors**: Jungle Ventures (lead), Ironwood Ventures (co-lead), Elevation Capital, General Catalyst India, Foster Ventures.
- **Notable Customers**: Whatfix, Airmeet, Mindtickle.
- **Growth Signals**: 83 employees (+28.2% YoY); LinkedIn followers 9,833 (+43.5% YoY); 12 active job postings; expanding presence across North America, India, and UAE.

## Competitive Advantages
- **AI-native architecture**: Built from the ground up with AI/ML, unlike legacy FP&A tools (e.g., Anaplan, Planful) that have older technology.
- **Deep integrations**: Supports 94+ tech stack components (Snowflake, Netsuite, Salesforce, Workday, Stripe, etc.) for seamless data ingestion.
- **Strategic finance focus**: Designed to turn finance teams into strategic partners for CEOs and leadership.
- **High employee satisfaction**: 4.6/5 rating on LinkedIn (62 reviews) with strong culture (4.5) and career development (4.1).

## Strategic Focus
- **Product development**: Continued investment in AI capabilities (e.g., Gen AI for FP&A platform, automation, and predictive modeling).
- **Market expansion**: Growing customer base in mid-market and enterprise segments, especially in North America and India.
- **Talent acquisition**: Actively hiring for engineering, product, sales, and solutions consulting roles to support growth.

## Why Work Here
- **Culture**: Rated highly (4.5/5) – collaborative, data-driven, and fast-paced. Emphasis on strategic impact rather than just transactional finance.
- **Remote & hybrid options**: Offices in Sunnyvale, San Francisco, New York, Toronto, and Bengaluru; remote roles available (e.g., many jobs listed as “Remote — Full Time India”).
- **Perks & environment**: Startup agility with strong funding and investor backing. Opportunity to work on cutting-edge AI/ML applications in finance. Career growth and learning from experienced leadership (ex-Google, ex-VC).
- **Engineering culture**: Strong technical team (27% tech, 20% consulting); recent hires from companies like Planful, Vena Solutions, Oracle, Freshworks.

## Sources
1. [LinkedIn Company Page](https://linkedin.com/company/drivetrainai)
2. [Wellfound (AngelList) Profile](https://wellfound.com/company/drivetrain)
3. [CB Insights Company Profile](https://www.cbinsights.com/company/drivetrain-1)
4. [Built In Company Page](https://builtin.com/company/drivetrain)
5. [Drivetrain Official About Page](https://www.drivetrain.ai/about)
6. [Drivetrain Careers Page (Lever)](https://jobs.lever.co/drivetrain)

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