Submit a speculative application to SigNoz highlighting your fit and potential contributions. They value exceptional talent in areas like observability and platform engineering.
We take exceptional people when they come along - and we really mean that!
Don’t see a specific role listed? That doesn't mean we won't have a spot for you. Send us a speculative application and let us know how you think you could contribute to SigNoz.
we are especially interested if you:
interest in observability, platform engineering, etc.
like talking to/ writing for developers
ex-technical founders interested in product/growth
Location
We are completely remote (no offices) but have teams primarily in United States and India currently.
Though open to great folks from across the globe who are right fit
Similar Jobs
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Manufacturing Engineer supports fab operations by monitoring line performance and WIP, resolving process/equipment/material issues, driving root-cause corrective actions, leading continuous improvement to improve yield and throughput, maintaining compliance and audit-ready documentation, developing dashboards/reports, mentoring shopfloor staff, and managing improvement and NPI projects to meet production targets.
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Work with large-scale health-related data to develop insights and solutions that improve healthcare delivery, pharmacy benefits, and patient guidance. Collaborate on high-performance teams to apply analytic methods and support Optum's mission to make the health system work better for everyone.
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead design, development, training, evaluation, and productionization of scalable ML/AI models using MLOps and CI/CD. Collaborate with data, product, and engineering teams, mentor engineers, enforce ML best practices, and ensure responsible, ethical AI and model monitoring in production.
Top Skills:
AWSAzureCi/CdComputer VisionDeep LearningDockerGCPKubernetesMlopsModel MonitoringNlpPythonPyTorchScikit-LearnTensorFlow
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

.jpeg)
