Austin Tech Jobs and Startup Jobs

On-time delivery of software solutions fully aligned to business and technical requirements. Design, document and deliver well-thought-out solutions as part of our microservice architecture in partnership with the Product Team. Mentor, coach and delegate work to a team of developers and QA engineers. Drive automation into test, documentation and the build process. Establish a test-driven culture.

Experience maintaining your team’s and/or organization’s CI/CD process. Familiarity with AWS & associated ecosystem. Helped engineering teams implement best practices around automated testing and deployments. Previous experience at startups or scaling enterprise SaaS applications is a plus. Previous experience implementing best practices around logging & observability a plus. Experience managing and maintaining infrastructure is a plus. Experience with microservice architectures a plus.

The Salesforce Developer will join our Business Systems team to drive automation of processes and manage the integrations to our various business systems for our Salesforce.com environment. The Salesforce Developer will be hands-on, providing oversight as well as the ability to perform at all stages of the systems development lifecycle. A successful candidate must be able to work directly with the system/data, lead multiple technical projects or portions at one time, as well as provide solutions that are highly scalable, extensible, and easy to maintain, while being strategic with system resources and keeping the overall end-user experience in mind. They will deal with highly ambiguous problems, taking full control and responsibility for finding solutions, and will drive towards simple solutions to complex problems.

Novi Labs is a VC backed technology company in Austin, TX. Our mission is to provide an industry leading software and data science solution that allows our users to generate and interact with machine learning models to help them better forecast, plan and develop their oil & gas investments. Our customers include innovative oil & gas operators and forward-thinking energy investors. Collectively, they invest hundreds of billions of dollars in

What you’ll be called: Data Architect Where you’ll work: KWRI Headquarters—Austin, TX Named a Happiest Company to Work for in 2019; one of the Best Places to Work in Austin, TX; and featured on the Training Magazine Training 125 list seven times, Keller Williams Realty International (KWRI) thrives within a creative and collaborative culture where transforming the real estate industry through technology is our primary goal. KW Technology is the

Responsible for the on-time delivery of software solutions fully aligned to business and technical requirements. Design, document and deliver well-thought-out solutions as part of our microservice architecture in partnership with the Product Team. Work closely with cross-functional project teams to develop new or additional functionality. Maintain velocity while minimizing defects. Learn and adhere to software best practices and common design patterns.

Novi Labs is a VC backed technology company in Austin, TX. Our mission is to provide an industry leading software and data science solution that allows our users to generate and interact with machine learning models to help them better forecast, plan and develop their oil & gas investments. Our customers include innovative oil & gas operators and forward-thinking energy investors. Collectively, they invest hundreds of billions of dollars in

Design, develop and implement data infrastructure and pipelines that collect, connect, centralize and curate data from various internal and external data sources. You will ensure that architectures support the needs of the business, and recommend ways to improve data reliability, efficiency and quality.

You're looking for an adventure where you can tackle complex problems, drive change, and lead teams of talented engineers and data scientists to build new software and data products. You want to collaborate with and mentor people that creatively solve problems, make decisions with conviction and nerd out about the internet. You’re comfortable with being uncomfortable, and you thrive in an environment based on continual improvement. You aren’t

We are looking for a Senior DevOps Engineer to be a leader amongst the Telematics Operations team in Austin. This Senior DevOps Engineer is responsible for defining, provisioning and managing the Amazon cloud environments. In this role, you will collaborate with Software development and Operational Engineering teams to deploy and automate build and deployment of the systems. As a Senior DevOps Engineer, you will be responsible for managing releases deployments, performing patches, upgrades and maintaining the environment in accordance with established policies and procedures. The engineer will also work closely with development teams during the design of applications to provide input from operational perspective. The engineer will also troubleshoot and resolve any issues that occur in Dev, Test and Production environments.

You're looking for an adventure where you can tackle complex problems, drive change, and help build the next generation of machine learning tools for detecting malicious and inauthentic behavior online. You want to collaborate with people that creatively solve problems, make decisions with conviction and nerd out about the internet. You’re comfortable with being uncomfortable, and you thrive in an environment based on continual improvement. You aren’t afraid to try new things and make mistakes. If this sounds like you, we want you on our team!

On-time delivery of software solutions fully aligned to business and technical requirements. Design, document and deliver well-thought-out solutions as part of our microservice architecture in partnership with the Product Team. Work closely with cross-functional project teams to develop new or additional functionality. Maintain velocity while minimizing defects. Establish a test-driven culture.

3+ years writing full stack software solutions. Proficient developing in either Node.js or Python. Comfortable with modern UI Javascript frameworks (React, Angular, etc). Experience with cloud-based distributed systems. Experience in an Agile project delivery life-cycle. Experience with any of the following are a plus: Docker, Kafka, React, Machine learning libraries. Skills and personality to operate effectively in a very fast-paced, complex business. Comfortable independently learning things you haven’t done before. Enjoys working as part of a team or on your own.

On-time delivery of software solutions fully aligned to business and technical requirements. Design, document and deliver well-thought-out solutions as part of our microservice architecture in partnership with the Product Team. Work closely with cross-functional project teams to develop new or additional functionality. Maintain velocity while minimizing defects. Learn and adhere to software best practices and common design patterns.

Work with data scientists to deploy and build machine learning models. Interface with research teams to help build APIs to make our models accessible. Understand how machine learning models work, and how they could possibly apply. Build test frameworks to ensure reliable prediction outputs. Interface with Devops to build deployment tools to automate ML model deployments.

The data science team functions like a startup within a secure, established company. The team was formally started in 2013 after one predictive analytics product successfully entered the marketplace. Our Data Scientists typically hold Ph.D. or Masters level degrees in Math, Statistics, Data Science, Computer Science and other related fields; who can predict variables of interest before those variables are known. The analysts take this prediction and turn it into business value. The team supports work across CCC and is currently working on one of the most strategic initiatives of the company, which is essentially building the AI capabilities for products.

The data science team functions like a startup within a secure, established company. The team was formally started in 2013 after one predictive analytics product successfully entered the marketplace. Our Data Scientists typically hold Ph.D. or Masters level degrees in Math, Statistics, Data Science, Computer Science and other related fields; who can predict variables of interest before those variables are known. The analysts take this prediction and turn it into business value. The team supports work across CCC and is currently working on one of the most strategic initiatives of the company, which is essentially building the AI capabilities for products.