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Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V ., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV. That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards , as well as honors from Digiday ( Best Connected TV Platform) , AdExchanger ( Most Innovative TV Advertising Technology ), and Business Insider ( Hottest AdTech Companies) . Tatari has also been recognized as the Best Place to Work by Inc. Magazine . Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era. We are looking for a Senior or Staff engineer to join engineering at Tatari, working closely with the SRE team, and lead how Tatari's engineers build software. Every hour an engineer spends fighting a slow CI pipeline, a flaky test, a confusing deploy, or a manual process is an hour not spent shipping product. The arrival of AI coding tools has made the gap between a great developer experience and a mediocre one wider than ever. You will own that gap. You will drive the strategy and hands-on execution for developer experience and AI tooling across our engineering organization: evaluating and rolling out AI coding assistants, building internal LLM-powered agents and automations, bringing ephemeral developer environments to our microservice landscape, speeding up the edit-build-test-deploy loop, and measuring the impact of all of it. You'll work from a foundation of solid infrastructure engineering, and occasionally contribute to core reliability and infrastructure work, but the majority of your time is spent making Tatari's engineers (human and AI alike) faster and happier. Working with a small team, this job affords a lot of agency and the opportunity to work with users across application engineering, data science, and analytics. Responsibilities Own the strategy, roadmap, and execution for developer experience and AI tooling across Tatari engineering Evaluate, deploy, and drive adoption of AI coding assistants and agentic development tools across the engineering org including enablement, best practices, guardrails, and cost management Design and build internal AI-powered agents and automations for engineering workflows: CI failure triage, incident response tooling, code review assistance, operational runbooks, and internal bots Identify and eliminate friction in the development inner loop: CI/CD pipeline speed and reliability, build and test infrastructure, local development environments, and deployment workflows Design and implement ephemeral developer environments across our microservice landscape: on-demand, production-like environments for developing, testing, and previewing changes Define and instrument developer productivity metrics (DORA-style delivery metrics, AI tooling adoption and impact) and use them to prioritize where the leverage actually is Partner with application engineers, data scientists, and analytics teams by sitting with them while they work, learning their current process firsthand, and turning what you observe into improvements they will actually adopt Participate in technical architecture discussions Qualifications 5+ years of experience in cloud-based infrastructure, platform, or developer tooling roles (AWS preferred); for Staff level, a track record of driving tooling or platform adoption across multiple teams Daily, hands-on use of AI coding assistants (Claude Code, Cursor, Copilot, or similar) in your own workflow, with informed opinions about where they create leverage and where they don't Experience building with LLM APIs and agentic workflows (function/tool calling, MCP, prompt design, or agent frameworks) Experience owning or significantly improving CI/CD systems, build/test infrastructure, or developer environments, with measurable results Strong Python and shell scripting skills Experience with containerization and orchestration (Kubernetes, Docker, or similar) Experience with infrastructure-as-code (Terraform preferred) Empathy for the frustrations and toil that slow engineering teams down and an intrinsic drive to fix them Nice to have Experience running an AI tooling rollout or enablement program at a previous company Experience with LLM evaluation approaches for internal tooling (measuring quality, not just adoption) Experience building ephemeral or preview environments (per-PR deployments, namespace-based isolation, sandboxes) in a microservice architecture Go or Rust Experience with GitHub Actions at scale, build caching, or test parallelization/flake management Experience managing RDBMS (Postgres/RDS, Redshift, or similar) and data infrastructure Benefits Total compensation ($160,000-180,000/Annually) Equity compensation Health insurance coverage for you and your dependents 401K, FSA, and commuter benefits $150 monthly spending account $1,000 annual continued education benefit $500 Newbie Productivity Perk Unlimited PTO and sick days Monthly Company Wellness Day Off Snacks, drinks, and catered lunches at the office Team building events Hybrid RTO of 2 days per week in office At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated. #LI-HYBRID
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.