--- title: 'Senior DevOps Engineer at Prophecy' canonical: 'https://feeny.ai/job/senior-devops-engineer-prophecy-bengaluru-dkghe8zj42rq' type: 'job' last_seen: '2026-09-04' --- # Senior DevOps Engineer at Prophecy - **Company:** Prophecy - **Location:** Bengaluru, India - **Posted:** 2026-06-09 - **Last confirmed live:** 2026-09-04 - **Apply:** https://job-boards.greenhouse.io/prophecysimpledatalabs/jobs/5159426007 ## Job description ## About Prophecy The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. Don’t miss the rocket ship—join Prophecy and build the next data revolution. Position Summary This is a high-impact opportunity to be a senior DevOps engineer in a fast-growing startup, based in Prophecy’s India engineering center. You will own and evolve the foundations that keep our engineering org fast, secure, and cost-efficient at scale — spanning cloud cost management, security DevOps, and CI/CD and engineering operations. You will work with a team of dynamic engineers who take pride in solving complex problems, and you will have the autonomy to set direction in your areas of ownership. The Impact You Will Have Cloud cost (FinOps) - Own and evolve our cloud cost optimization program across AWS, Azure, GCP, Databricks, Snowflake and Bigquery building on the programmatic monitoring and controls - Analyze billing, asset-inventory, and utilization data across departments to identify wasteful spend and provide actionable insights to optimize it. - Develop and maintain cost optimization strategies, roadmaps, and forecasting models - Partner with engineering teams to design cost-efficient architectures without compromising scalability or reliability. - Build and maintain automation for infrastructure provisioning, scaling, and cost control. Security DevOps - Partner with engineering and security to drive our security-hardening program across workstreams such as identity & access governance, secrets & credential lifecycle, cloud access, and CI/CD hardening. - Implement and automate guardrails: secrets management, least-privilege access, credential rotation, and policy-as-code. - Build security into our pipelines and infrastructure (SAST/DAST, dependency and image scanning, IaC scanning) and remediate findings with the right owners. - Improve monitoring, detection, and audit logging across our cloud, source control, and third-party platforms. - Track hardening items to closure and help establish durable processes so the posture holds over time. Engineering-ops automation - Drive CI/CD stability across our core repos — keeping master builds green, reducing flaky tests, and enforcing healthy merge processes (e.g. controlled force-merge policies with clear custodianship and follow-up). - Build observability into our build and test systems — dashboards on build health, failure categories, force merges, and test reliability — to make problems visible and drive them down. - Identify and quarantine, fix, or retire flaky and low-value tests in partnership with repo owners. - Develop internal tools and automation to improve developer productivity (CI/CD pipelines, observability, local dev environments, release tooling, etc.). - Identify recurring engineering-ops toil and automate it away. - Stay current with modern DevOps, FinOps, security, and developer-productivity tooling to continuously improve our processes. ## What You’ll Need - 5–10 years of overall systems/infrastructure engineering experience, including hands-on work building and operating infrastructure platform-as-a-service capabilities. - Strong hands-on knowledge of cloud services (compute, storage, networking, databases, containers) across at least one major cloud; familiarity with AWS, Azure, and GCP is a plus. - Proven experience with cloud cost optimization (FinOps) — measuring, monitoring, and driving down spend. - Solid grounding in security DevOps — secrets management, IAM/least-privilege, credential lifecycle, and securing CI/CD pipelines and infrastructure. - Hands-on experience driving CI/CD stability and reliability (build health, flaky-test management, pipeline tooling) with systems like GitHub Actions, Jenkins, GitLab CI, etc. - Proficiency in scripting and automation (Go, Python, Bash/Shell, or similar). - Experience with Infrastructure-as-Code (Terraform, CloudFormation, Pulumi, etc.). - Experience with monitoring, logging, and observability tools (Datadog, Prometheus, ELK, etc.). - Background working in modern tech companies/startups focused on scaling, security, and developer productivity. - Strong problem-solving skills, with the ability to balance cost, security, performance, and developer needs. - Strong desire to work in a not-well-structured, fast-moving startup environment. - B Tech or above degree in CS or equivalent. ## Preferred Qualifications - Experience with Go. - Strong Experience with Terraform or IAC - Experience with policy-as-code and pipeline security tooling (SAST/DAST, dependency/image/IaC scanning). - Full-stack infrastructure knowledge. - Good understanding of computer architecture, networking, and CS fundamentals. - Proficiency in Linux. - Ability to assess new technologies and make pragmatic choices that help guide us towards a long-term vision. ## What You’ll Have At Prophecy - Great culture - Fair and open equity awards for everyone - Amazing work - Private medical insurance - Flexible time off - Manage your own growth and career - Experience building a transformative product - High learning opportunity - End-to-end ownership of your projects ## About Prophecy ## Company Overview - **One-liner**: Prophecy is an AI-powered data preparation and analysis platform that lets business teams describe data needs in natural language and automatically generates production-ready visual data workflows. - **Entity Type**: Private (funding stage not publicly disclosed) - **Headquarters**: Palo Alto, California, United States - **Founded**: 2017 - **Founders**: Raj Bains (CEO), Vikas Marwaha, Maciej Szpakowski ## Core Business - **Primary industry**: AI data preparation and analysis, cloud-native data engineering - **Target customers**: B2B enterprise — Fortune 500 companies in finance, healthcare, retail, and technology; business data teams and analysts - **Mission**: “Make insights faster, more reliable, and accessible to everyone” by uniting AI, simplicity, and powerful systems so every team can build, refine, and share data together. ## Products & Services - **[Prophecy Platform – Agentic Data Prep & Analysis](https://www.prophecy.ai/)**: A SaaS platform that uses AI agents (powered by Claude Code) to automatically generate visual data workflows from plain‑English descriptions. Users inspect, refine, and validate the logic, then deploy as high‑performance code on Databricks, Snowflake, or BigQuery. Supports both standalone use and native deployment on existing cloud data platforms. Offers a free Professional tier and an Express tier with onboarding support. ## Market Standing - **Valuation / Market Cap**: Not publicly available - **Key Metric**: Total funding not disclosed; annual revenue not publicly available - **Notable Investors / Partners**: Board members include Ilya Kirnos, George Mathew, Burke Norton, Kai Yang, Elena Zislin (specific investment firms not listed). Trusted by leading enterprises including HSBC, JP Morgan, Microsoft, Amgen, ClearWater, SAP, Ralph Lauren, Deutsche Telekom, Marks & Spencer, and Toyota. - **Growth Signals**: 173 employees (LinkedIn, as of mid‑2026); 13 active job postings (+225% quarterly); 32,189 LinkedIn followers (+1.9% monthly). Offices in Palo Alto (HQ), Bengaluru, and Gurgaon. ## Competitive Advantages - **AI‑first approach**: Specialized AI agents that understand data context and generate pipelines from natural language, reducing manual engineering from hours to minutes. - **Cloud‑native, no vendor lock‑in**: Runs natively on Databricks, Snowflake, and BigQuery; produces open, production‑grade code that stays under the customer’s governance. - **Human‑in‑the‑loop validation**: Visual workflows allow business users to inspect and refine every step, building trust and ensuring accuracy. - **Enterprise‑grade**: Role‑based access control, audit logging, compliance certifications, and dedicated support. ## Strategic Focus - **Democratizing data work**: Shifting data preparation and analysis from specialist engineers to business users, enabling self‑service analytics. - **AI‑driven data lifecycle**: Expanding the “generate → refine → deploy” loop with multi‑modal collaboration (text, visual, code). - **Deep platform integrations**: Continuing to build native support for major cloud data platforms and expanding enterprise partnerships. ## Why Work Here - **Culture**: Described as “fast‑moving,” “curious builders and bold thinkers,” with values of respect, ownership, humility, and innovation. Emphasis on customer impact and growing together. - **Work policy**: Hybrid in San Francisco (HQ); remote options for some roles (e.g., Senior Product Manager – Structured Finance, Director Strategic Partnerships). Engineering roles available in Bengaluru and Gurgaon. - **Engineering culture**: Work on AI agents, distributed systems, and visual design tools. Opportunities to shape the future of data workflows and collaborate with a diverse, cross‑continental team. - **Notable perks**: Not explicitly listed, but the company offers free Professional tier for individuals and a 90‑day onboarding program (Prophecy Express) for organizations. ## Sources 1. [Prophecy AI – Homepage](https://www.prophecy.ai/) 2. [Prophecy AI – About Page](https://www.prophecy.ai/about) 3. [Prophecy AI – Careers Page](https://www.prophecy.ai/careers) 4. [LinkedIn – Prophecy](https://www.linkedin.com/company/prophecy-ai) 5. 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