--- title: 'Software Engineer II - DevOps at LG Ad Solutions' canonical: 'https://feeny.ai/job/software-engineer-ii-devops-lg-ad-solutions-bengaluru-vpfr0g3f1w90' type: 'job' last_seen: '2026-09-08' --- # Software Engineer II - DevOps at LG Ad Solutions - **Company:** LG Ad Solutions - **Location:** Bengaluru, India - **Employment:** full-time - **Posted:** 2026-09-03 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.ashbyhq.com/lgads/8899f008-5e87-4e05-8b1f-7a507a573ba8 ## Job description ## About the Role We are looking for a Software Engineer – DevOps / CloudOps to help build, automate, and operate reliable and scalable engineering infrastructure. In this role, you will work closely with software development and engineering teams to improve CI/CD, cloud infrastructure, system reliability, observability, and automation. You will have the opportunity to work across cloud, infrastructure, deployment automation, and production operations. ## What You’ll Do - Build, maintain, and improve CI/CD pipelines for automated build, test, and deployment. - Manage and improve cloud infrastructure using Infrastructure as Code (IaC). - Monitor production systems, investigate alerts, and troubleshoot reliability issues. - Collaborate with software engineers to resolve deployment, infrastructure, and performance issues. - Automate repetitive operational tasks using Python, Bash, or similar scripting. - Review infrastructure, automation, and deployment-related code. - Improve system reliability, scalability, performance, and observability. - Contribute to monitoring, logging, alerting, and operational dashboards. - Support incident response and participate in on-call operations. - Create and maintain technical documentation, runbooks, and operational processes. - Identify opportunities to improve engineering efficiency through automation. ## What You’ll Bring Must Have - Strong understanding of Linux systems. - Basic programming/scripting skills in Python, Bash, or similar. - Experience with at least one major cloud platform – AWS preferred. - Experience with Infrastructure as Code, preferably Terraform. - Good understanding of software deployment and production environments. - Strong troubleshooting and problem-solving skills. ## Nice to Have - Experience with Kubernetes and containerized applications. - Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI. - Experience with Docker. - Experience with ArgoCD or other GitOps tools. - Experience with monitoring and observability tools such as Prometheus, Grafana, or Datadog. - Understanding of logging platforms and distributed systems. - Basic knowledge of security, IAM, secrets management, and cloud security best practices. ## What We’re Looking For - Strong ownership mindset and willingness to take problems from investigation through resolution. - Proactive approach to identifying and solving technical problems. - Strong communication and collaboration skills. - Ability to work effectively with software engineers, QA, security, and other engineering teams. - Curiosity and willingness to learn new technologies and solve complex infrastructure challenges. Why Join This Team? You will have a direct impact on the reliability, scalability, and engineering efficiency of our systems. This role provides an opportunity to work across Cloud, DevOps, SRE, automation, CI/CD, Kubernetes, and infrastructure, while partnering closely with software engineering teams and taking ownership of production systems. ## About LG Ad Solutions ## Company Overview - **One-liner**: LG Ad Solutions is an advanced advertising platform that powers connected TV and cross-screen campaigns, helping brands engage audiences through deterministic Smart TV data and AI. - **Entity Type**: Private (total funding: $5.9M from venture rounds; last round 2017) - **Headquarters**: Mountain View, California, United States - **Founded**: 2013 - **Founders**: Not publicly available (leadership team includes CEO Michael Hudes, but founder info is not disclosed) ## Core Business - **Industry**: Advertising Services / Connected TV (CTV) / Cross-screen Advertising - **Target Customers**: B2B – brands, advertisers, agencies, and media buyers - **Mission/Purpose**: “Making Connected TV Ads Smarter” – helping advertisers maximize return on ad spend by delivering unduplicated reach across a fragmented TV landscape. ## Products & Services - **LG Ad Solutions Platform**: An AI-powered advertising platform that offers one-stop planning, activation, and measurement across connected TVs, digital video, and social media. Includes: - **Data**: Deterministic automatic content recognition (ACR) data from LG Smart TVs, combined with first-party and partner data for precise audience targeting. - **Media**: Access to premium LG CTV inventory (tens of millions of smart TVs globally) and cross-device reach. - **Outcomes**: KPI-driven measurement and business outcome reporting to demonstrate ad effectiveness. ## Market Standing - **Valuation**: Not publicly available - **Key Financial Metrics**: Estimated annual revenue of $10M (LinkedIn estimate; not officially confirmed). Total funding: $5.9M (Convertible Note $300K in 2014, Venture Round $5.6M in 2016). - **Notable Investors/Partners**: LG (parent company ecosystem); partnership data from Samsung Ads, Roku, VideoAmp, MediaMint, etc. (talent sources indicate industry relationships). - **Growth Signals**: - Headcount growth: +10.6% YoY (388 employees, up 46 people) - 31 active job postings; job postings increased 210% year-over-year - Operating in 10 countries (U.S., India, U.K., Canada, Australia, Brazil, South Korea, etc.) - Recent hires from Amazon, Roku, Samsung Ads, VideoAmp, Samba TV – strong talent inflow from CTV competitors. ## Competitive Advantages - **Proprietary Data**: Deterministic ACR data from millions of LG Smart TVs provides a unique, privacy-compliant audience signal that cannot be replicated. - **Exclusive CTV Inventory**: Direct access to LG’s smart TV inventory gives advertisers unduplicated reach and a premium ad environment. - **Cross-Screen Unity**: One platform for planning, activation, and measurement across CTV, digital, and social – reducing fragmentation for advertisers. - **Scale & Global Footprint**: Over 200 million LG Smart TVs worldwide (stated on website), with offices in major markets. ## Strategic Focus - **AI & Data Platform**: Invest in Video AI and machine learning to improve audience targeting, in-flight optimization, and attribution. - **Multi-Channel Expansion**: Extend capabilities beyond CTV into digital video and social to become a comprehensive cross-screen hub. - **Advertiser Tools**: Enhance self-service features, outcome-based buying, and measurement to compete with larger ad platforms. ## Why Work Here - **Culture & Values**: Emphasizes “We Are One Team,” transparency, accountability, innovation, and a bias for action. Reviews (3.0/5.0 on LinkedIn) cite average culture (2.7) and career development (2.8), but compensation is rated 3.6. - **Location & Flexibility**: Headquarters in Mountain View, CA; offices in New York, London, Sydney, São Paulo, and others. Hybrid/remote policy not clearly stated. - **Engineering & Data Focus**: Deep roles for data engineers, ML engineers, platform engineers, and data analytics leads. The stack involves big data, ACR, and AI. - **Industry Impact**: Work at the forefront of the CTV revolution, competing/partnering with industry giants (Roku, Samsung Ads, Amazon). Opportunity to shape the future of TV advertising. ## Sources 1. [lgads.tv](https://lgads.tv/) 2. [lgads.tv/careers](https://lgads.tv/careers/) 3. [lgads.tv/company](https://lgads.tv/company/) 4. 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