DevOps Engineer at Dehazelabs (India)

Dehazelabs· India·6d ago

Role details

Work type

Remote

Employment

Full-Time

Job description

Job Title: DevOps Engineer Employment Type: Full-time Location: Remote Shift: Night Shift

ABOUT THE ROLE

We are seeking a skilled DevOps Engineer to join our Hadoop/Big Data Infrastructure Team. The role involves managing and supporting large-scale distributed systems and automating infrastructure operations across global data centers. You will play a key role in ensuring system reliability, scalability, and performance across 5000+ compute, storage, and distributed systems.

KEY RESPONSIBILITIES

Provide operational support for Hadoop clusters and other Big Data tools such as HBase, Scylla, Hive/Hue, Kafka, and Storm.
Automate deployments and operations to enhance efficiency and reliability.
Perform upgrades of Hadoop and associated tools as required.
Fine-tune configurations using management tools such as Puppet and InfraDB (in-house Ruby on Rails CM Database).
Orchestrate deployments and services using Ansible.
Implement continuous integration processes following change management protocols using Git and Gerrit.
Develop monitoring and alerting scripts using Python and Bash/Shell.
Monitor system health using tools like Nagios, Graphite, Grafana, OpenTSDB, and Prometheus.
Troubleshoot and optimize system and service performance.
Collaborate with cross-functional teams, including Data Center Operations, NOC, Network, Database, and Engineering.
Track and resolve incidents, conduct root cause analysis, and maintain detailed runbooks and documentation.

Qualifications

Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
Proven experience in DevOps, Big Data infrastructure, or system administration.
Hands-on expertise in Linux-based systems, automation tools, and monitoring platforms.
Strong problem-solving and collaboration skills.

Why work at Dehazelabs

Culture: Small company (~18 employees) with a high density of technical talent (65% specialist/senior roles). Emphasis on production engineering and hands-on AI deployment.
Remote/Hybrid Policy: Remote roles available in India; San Francisco office (onsite workspace) for US-based staff. Typical on-site time is not defined but some roles are fully remote builtin.com.
Perks: Not extensively advertised; one Glassdoor-like review rates work-life 3.0/5 and culture 3.0/5. Recent job postings include DevOps Engineer and Junior Python Developer.
Engineering Culture: Engineers work directly with clients on real-world AI challenges – strong fit for those who enjoy applied ML, data infrastructure, and edge computing.

About Dehazelabs

Company Overview

One-liner: DehazeLabs is an AI agent management and data engineering company that helps businesses deploy production-ready AI systems across data centers, edge environments, and enterprise platforms.
Entity Type: Private (Privately Held; no public funding rounds disclosed)
Headquarters: San Francisco, California, United States (also listed as Newark, Delaware for legal registration)
Founded: 2017
Founders: Not publicly available

Core Business

Primary industries: AI/ML services, data engineering, edge computing, computer vision, multimodal AI. Serves technology, financial services, healthcare, retail, manufacturing, and logistics sectors.
Target customers: B2B enterprise and mid-market organisations needing custom AI solutions, data infrastructure, and AI agent management.
Mission: “Pioneering Innovation with Advanced AI Solutions” – turning AI proofs-of-concept into production reality through telemetry, perception systems, and multimodal platforms builtin.com.

Products & Services

Data Engineering: Transforms complex datasets into actionable insights using Snowflake and the modern data stack dehazelabs.com.
Gen AI / LLMs: Provides large language model deployment, generative AI, and RAG (retrieval-augmented generation) solutions.
Custom AI Solutions: Bespoke AI platforms built for specific business processes, including computer vision and sensor fusion.
Edge Computing: Deploys real-time AI inference at the edge for low-latency decision-making and data privacy.
MLOps & AI Platform Management: Manages AI pipelines on Snowflake and other infrastructure, simplifying model operations.
BreakFixBot: Automated incident resolution tool (mentioned on website).
Staffing & Onshore/Offshore Engineering: Embeds engineers directly into customer teams, with a US-based partnership leadership and engineering bench across South Asia dhlabs.ai blog.

Market Standing

Valuation/Market Cap: Not disclosed.
Key Metric: ~18 employees (+4.5% YoY growth); no public revenue figures.
Notable Investors/Partners: Not publicly listed.
Growth Signals: Yearly headcount growth of +4.5%, expanding service lines (edge AI, multimodal platforms), direct relationships in Indian manufacturing, space sector, and global capability centers in Bengaluru and Hyderabad linkedin.com.

Competitive Advantages

Production-first approach: Focuses on deploying AI from proof-of-concept to live environments (e.g., GPU rack onboarding reduced from weeks to hours with EdgeTelemetry).
Three anchor practices: Data Center & Infrastructure AI, Edge & Perception AI, and Multimodal Enterprise AI Platforms – covering the full stack of AI deployment.
Embedded engineering model: Engineers work inside customer teams, reducing integration friction.
Global talent distribution: US-based leadership with a strong engineering bench in South Asia, giving cost-effective scale.
Cross-sector experience: Proven work in telecom (real-time SIEM), smart cities, logistics, and sports sponsorships (SponsorUnited reduced manual review by 90%+) dhlabs.ai blog.

Strategic Focus

Current priorities: Scaling edge AI and agentic operations for GPU clusters, telecommunications, and smart-city infrastructure; expanding multimodal AI platforms for video, audio, and document intelligence.
Direction: Building reusable AI agent frameworks and telemetry products (e.g., EdgeTelemetry) to shorten deployment cycles for new customers.
Talent: Growing engineering team in India and US while maintaining a small, agile headcount.

Sources

jobs.ashbyhq.com – Careers page and job listings
dehazelabs.com – Official website with service details
linkedin.com – Company page, employee data, and updates
builtin.com – Company overview, offices, and culture
cbinsights.com – Headquarters and founding year

Job description

ABOUT THE ROLE

KEY RESPONSIBILITIES

Qualifications

Why work at Dehazelabs

Application questions