---
title: 'DevOps Engineer - Jenkins to Harness Migration at Sigmoid'
canonical: 'https://feeny.ai/job/devops-engineer-jenkins-to-harness-migration-sigmoid-bengaluru-70qetzbja211'
type: 'job'
last_seen: '2026-09-06'
---

# DevOps Engineer - Jenkins to Harness Migration at Sigmoid

- **Company:** Sigmoid
- **Location:** Bengaluru, India
- **Posted:** 2026-08-24
- **Last confirmed live:** 2026-09-06
- **Apply:** https://job-boards.greenhouse.io/sigmoid/jobs/8741980002

## Job description

DevOps Engineer

## About the Role

We are looking for an experienced DevOps Engineer to join our fast-paced engineering team.

The ideal candidate will bring strong hands-on expertise in Linux systems administration, scripting, and CI/CD tooling, with a critical focus on migrating our build and release pipelines from Jenkins to Harness. This is a high-impact role for someone who thrives in a start-up environment and enjoys collaborating across engineering, data science, and product teams.

## Key Skill Priority

⭐ Jenkins to Harness Migration

- Hands-on experience planning and executing migrations from Jenkins to Harness is the most critical requirement for this role.

Must-Have Qualifications

- 4–7 years of relevant work experience; a degree in Computer Science or a related technical discipline is required.
- Proven track record of building and shipping large-scale engineering products, and/or working knowledge of cloud infrastructure such as Azure or AWS (preferred).
- Experience with Shell, Python, or other scripting languages.
- Experience managing Linux systems and working with build and release tools like Jenkins.
- Effective communication skills, both written and verbal.
- Ability to collaborate with a diverse set of stakeholders, including engineers, data scientists, and product managers.
- Comfort operating in a fast-paced start-up environment.

Good to Have

Big Data & Platform Engineering

- Support experience in the Big Data domain.
- Experience architecting, implementing, and maintaining Big Data solutions.
- Experience with the Hadoop ecosystem, including:
- HDFS
- MapReduce
- Oozie
- Hive
- Impala
- Spark
- Kerberos
- Kafka

Containerization & Infrastructure

- Experience with container technologies such as Docker and Kubernetes.
- Experience with configuration management systems.

AI-Assisted Development Tools

- Experience with AI-assisted ("vibe coding") tools such as:
- Cursor
- Windsurf
- Claude
- GitHub Copilot

## Key Skills / Keywords

- Linux
- AWS
- Build & Release Tools
- Jenkins to Harness Migration
- Scripting (Shell & Python)
- Docker
- Kubernetes
- Configuration Management
- Databases
- Hadoop
- Spark
- ELK (Elasticsearch, Logstash, Kibana)
- Big Data Systems (InfluxDB, Elasticsearch, Cassandra)
- Ansible
- Chef
- Puppet
- Cursor
- Windsurf
- Claude
- GitHub Copilot

Note:

By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.

## About Sigmoid

## Company Overview
- **One-liner**: Sigmoid is an AI-first consulting and solutions company that helps Fortune 1000 enterprises modernize data, transform business processes, and make better decisions using AI, GenAI, and Agentic AI.
- **Entity Type**: Private (Series B; backed by Peak XV Partners)
- **Headquarters**: Jersey City, New Jersey, United States
- **Founded**: 2013
- **Founders**: Not publicly available from provided sources

## Core Business
- **Primary industries**: Data engineering, AI/ML consulting, GenAI, Agentic AI, business consulting, analytics & BI modernization
- **Target customers**: Fortune 500 enterprises in CPG, retail, banking, financial services, manufacturing, life sciences, and other verticals (B2B, Enterprise)
- **Mission or purpose**: To help organizations unlock new revenue opportunities and improve operational efficiency by building bespoke AI solutions powered by strong data foundations and contextual knowledge.

## Products & Services
- **AI-Led Data Engineering**: Builds scalable, governed, AI-ready data foundations through modernization, automation, and self-service access.
- **Business Consulting**: Transforms analytics and BI into predictive, conversational, decision-ready systems powered by AI agents.
- **Generative AI**: End-to-end implementation and scaling of GenAI and Agentic AI solutions, integrated into enterprise workflows.
- **Analytics & Cognitive BI**: AI agents built and deployed for insight surfacing, anomaly detection, and business driver explanation.
- **Sigmoid RAPID**: A production-grade framework for enterprise Agentic AI adoption — one-click infrastructure, governance-first design, cost controls, and prebuilt GenAI accelerators.
- **Sigmoid Reconica**: A modular framework that harmonizes data from multiple sources and creates trusted master data (product, sales, competitive masters) for AI-ready foundations.
- **Sigmoid DataGuard**: An enterprise-grade data quality management platform for continuous monitoring, validation, and enrichment of data pipelines.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Annual Revenue ~$15.1M; Total Funding $12.0M (Series B on 2022-09-14 led by Peak XV Partners)
- **Notable Investors/Partners**: Peak XV Partners (formerly Sequoia Capital India)
- **Growth Signals**:
  - 1,470 employees (+49.2% YoY, +559 people)
  - 25+ Fortune 500 clients
  - 225+ transformative AI programs delivered
  - $130M+ value delivered with GenAI initiatives
  - 200+ AI agents built and deployed
  - Active in 14 countries across the USA, UK, Netherlands, Poland, Canada, Singapore, and India
  - Recognized by Gartner, ISG, Everest Group, Forrester, Hurun, AIM, GPTW, Inc. 500, and Deloitte

## Competitive Advantages
- **End-to-end AI ownership**: Full ownership of the AI lifecycle from strategy to scalable deployment and optimization.
- **Domain knowledge**: Deep understanding of business processes and industry context — CPG, retail, BFSI, manufacturing, life sciences.
- **Purpose-built accelerators**: RAPID, Reconica, and DataGuard provide pre-engineered frameworks for faster time-to-value (2× faster time-to-market, productionize AI models within weeks).
- **Domain-Specific Language Models (DSLMs)**: Unify industry context with enterprise data for clear, tangible outcomes.
- **40+ cloud and open source technologies** in the full data technology stack.
- **12+ delivery centers globally** providing 24/7 support and nearshore capabilities.

## Strategic Focus
- Scaling GenAI and Agentic AI adoption across enterprises, with a governance-first approach.
- Deepening industry-specific solutions (life sciences, retail, CPG, BFSI) using DSLMs and AI agents.
- Expanding delivery centers and headcount (58 active job postings, +480% job postings YoY).
- Building a strong talent pipeline through the Sigmoid Young Graduate Program (SYGP) and in-house academy Takshashila.

## Why Work Here
- **Learning & growth**: Takshashila — 90-day intensive training program covering technical, soft skills, client management, and leadership. Real-world projects with Fortune 500 clients from day one.
- **Culture**: Values include high agency mindset, continuous learning, customer focus, accountability, and teamwork. Hybrid work model with flexibility and balance.
- **Benefits**: Comprehensive health insurance for employees and family, sponsored health checkups, wellness programs, transportation support for women, access to workplace amenities (meals, refreshments), relocation support.
- **Engineering environment**: 45% of workforce in technical roles, exposure to 40+ cloud/open-source technologies, and early ownership on high-impact projects.
- **CSR**: Care & Share initiative — employee-led community development, healthcare access support, and disaster relief.
- **Recognition**: Great Place To Work certified, award-winning culture (Deloitte Technology Fast 500, Inc. 5000, etc.).

## Sources
1. [Sigmoid Website](https://www.sigmoid.com/)
2. [Sigmoid Careers Page](https://www.sigmoid.com/careers/)
3. [Sigmoid Early Careers / SYGP](https://www.sigmoid.com/early-careers/)
4. [Sigmoid LinkedIn Profile](https://www.linkedin.com/company/sigmoid-analytics)
5. [Sigmoid on Built In](https://builtin.com/company/sigmoid)

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