---
title: 'Senior DevOps Engineer at ShyftLabs'
canonical: 'https://feeny.ai/job/senior-devops-engineer-shyftlabs-noida-9mrbkvzfmksx'
type: 'job'
last_seen: '2026-09-08'
---

# Senior DevOps Engineer at ShyftLabs

- **Company:** ShyftLabs
- **Location:** Noida, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/shyftlabs/9f6efed9-0ee7-4159-ac4a-f31b7486719b

## Job description

Position Overview: We are looking for a Lead DevOps Engineer to join our growing team. The DevOps Engineer will partner with application developers to automate and accelerate the testing, release, and deployment of applications into a runtime environment quickly and reliably while ensuring high availability and uptime. You will be responsible for working with a team to develop, optimize, and deliver cloud computing solutions, and development environments through the development life cycle.

ShyftLabs is a growing data product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

## Key Responsibilities

Infrastructure & Cloud Architecture

- Design, implement, and maintain scalable, secure, and highly available infrastructure on AWS (VPC, EC2, ECS/EKS, RDS, S3, Lambda, IAM, CloudFront, Route53, etc.)
- Own the infrastructure-as-code strategy using Terraform, including module design, state management, and multi-environment provisioning
- Drive cost optimization, security hardening, and architectural best practices across all environments (dev, staging, production) • Lead disaster recovery, backup, and business continuity planning for critical systems CI/CD & Automation
- Architect and maintain robust CI/CD pipelines (GitHub Actions preferred) for build, test, and deployment automation across multiple services/teams
- Build automation tooling and scripts using Python and Shell to eliminate manual operational work
- Implement GitOps practices and policy-as-code for infrastructure changes (plan/apply gates, automated compliance checks)
- Own release management processes, deployment strategies (blue-green, canary, rolling), and rollback procedures Source Control & Collaboration
- Manage and enforce GitHub best practices — branching strategy, code review workflows, repo structure, access controls, and GitHub Actions workflows
- Collaborate closely with development, QA, and security teams to embed DevOps practices into the SDLC Reliability & Security
- Set up and maintain monitoring, logging, and alerting (CloudWatch, Prometheus/Grafana, Datadog, or similar)
- Lead incident response and root cause analysis for production issues; drive postmortems and long-term fixes
- Implement and enforce security best practices — IAM least privilege, secrets management, vulnerability scanning, compliance guardrails Leadership & Mentorship
- Lead and mentor a team of DevOps/Infrastructure engineers; conduct code/infra reviews and guide technical decision-making • Define and enforce infrastructure standards (tagging, naming conventions, module reuse, documentation)
- Partner with engineering leadership on infrastructure roadmap, tooling decisions, and capacity planning
- Own vendor/tool evaluations (build vs. buy) for infrastructure and DevOps tooling

Required Skills & Experience

- 7–10 years of experience in DevOps, SRE, or Infrastructure Engineering roles, with at least 2+ years in a lead or senior technical ownership capacity
- Deep, hands-on expertise in AWS — networking, compute, storage, IAM, and security services
- Strong proficiency in Terraform — module design, remote state management, workspaces, drift detection, and large-scale IaC governance
- Solid experience with GitHub — Actions, branching strategies, repo governance, and workflow automation
- Strong scripting/programming ability in Python and Shell/Bash for automation and tooling
- Proven experience building and maintaining CI/CD pipelines end-to-end (build, test, deploy, rollback)
- Experience with containerization and orchestration (Docker, ECS or Kubernetes/EKS)
- Strong understanding of security best practices, IAM policies, and secrets management (Secrets Manager, Vault, or similar)
- Experience with monitoring/observability tooling (CloudWatch, Prometheus, Grafana, ELK, Datadog, etc.)
- Excellent troubleshooting skills across networking, compute, and application layers
- Strong communication skills with the ability to lead technical discussions and mentor engineers Preferred / Nice-to-Have
- AWS certifications (Solutions Architect – Professional, DevOps Engineer – Professional)
- Terraform Certified Associate or equivalent hands-on Terraform Enterprise/Cloud experience
- Experience with policy-as-code tools (Sentinel, OPA, Checkov)
- Experience with Kubernetes (EKS) at scale, including IRSA, autoscaling, and cluster upgrades
- Experience in a regulated or high-compliance environment (SOC2, ISO 27001, HIPAA, etc.)
- Familiarity with configuration management tools (Ansible, Chef, Puppet

## About ShyftLabs

## Company Overview
- **One-liner**: ShyftLabs is a data and AI consulting firm that builds enterprise-grade intelligent systems to help Fortune 500 companies, retailers, health organizations, and public agencies turn data into measurable business outcomes.
- **Entity Type**: Private (Bootstrapped)
- **Headquarters**: Toronto, Ontario, Canada
- **Founded**: 2018
- **Founders**: Brian Würtz Leth (Co-Founder, COO) – additional co-founders are not publicly listed.

## Core Business
- **Primary industries**: Data & AI consulting, digital transformation, enterprise technology services.
- **Target customers**: B2B, large enterprises (Fortune 500), government agencies, healthcare organizations.
- **Mission or purpose statement**: “Move from pain points to measurable outcomes, fast.” They aim to make data actionable and power real-time decisions with privacy-first, responsible AI systems.

## Products & Services
- **Enterprise AI & Data Consulting**: Custom AI solutions, machine learning models, and data infrastructure designed for trusted enterprise deployment.
- **Digital Transformation Services**: Modernization of legacy systems, cloud migration, and scalable AI-ready platforms.
- **Data Infrastructure & Governance**: Building governed data pipelines, privacy-first architecture, and secure integrations.
- **Responsible AI Controls**: Governance frameworks, bias detection, and compliance-focused AI deployment.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (privately held).
- **Key Metric**: Claims to have unlocked over $2B in client value (as stated on their website) and $500M+ in measurable value for clients.
- **Notable Investors/Partners**: No public investors listed. Partners include major retailers, health organizations, and public agencies (specific names not disclosed).
- **Growth Signals**:
  - Headcount: ~177 employees (LinkedIn) with +1.4% monthly growth; website states 250+ experts.
  - Active job postings: 30+ (Lever) with 22 roles posted in the last 90 days.
  - Offices in Toronto, New York, Dubai, and Noida (India), with distributed teams across 6 countries.
  - 54% of employees in technical roles, indicating strong engineering focus.

## Competitive Advantages
- **Privacy-first architecture** and **governed data infrastructure** tailored for enterprise compliance.
- **Multi-geography delivery** (North America, Europe, Middle East, India) enabling 24/7 support and diverse talent pools.
- **Track record with Fortune 500 clients** and proven ability to deliver measurable ROI (over $500M client value).
- **Full-stack AI expertise** spanning data engineering, machine learning, and responsible AI governance.

## Strategic Focus
- Scaling AI systems that power real-time decisions across critical industries (retail, healthcare, government).
- Modernizing legacy infrastructure for enterprises moving to AI-ready platforms.
- Expanding their presence in commerce media (e.g., Carter partnership) and deepening client relationships through account management.
- Growth in autonomous AI agents and privacy-first solutions.

## Why Work Here
- **Culture & Ratings**: 4.2/5 on Glassdoor (60 reviews) with Work-Life Balance 4.3, Compensation 4.2, Culture 4.2.
- **Benefits**: 100% coverage for health, dental, and vision insurance for employees and dependents from day one.
- **Work Environment**: Hybrid policy in Toronto (minimum 4 in-office days per week); other offices vary. Fast-paced, product-focused, and collaborative.
- **Growth Opportunities**: Continuous learning, influence over strategic direction, and opportunities to build AI systems used by Fortune 500 companies.
- **Diversity & Inclusion**: Equal opportunity employer committed to creating a safe, diverse, and inclusive environment.

## Sources
1. [shyftlabs.io](https://shyftlabs.io/about-us)
2. [LinkedIn](https://linkedin.com/company/shyftlabsio)
3. [Indeed](https://ca.indeed.com/cmp/Shyftlabs/jobs)
4. [GetClera](https://www.getclera.com/companies/shyftlabsio)
5. [Lever Jobs](https://jobs.lever.co/shyftlabs)

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