Grindr
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Manage project tracking tools, collaborate with engineering teams, support data-driven decisions, lead cross-functional projects, document architecture, and assist with vendor negotiations and budget forecasting.
Design, develop and deliver data products to production, solve technical problems, define and extend data architecture standards, mentor team members, propose ideas for improvement, implement ETL processes, work closely with Data Scientists and Product Managers.
The Machine Learning Engineer is responsible for building high quality ML datasets at scale, used to train ML models that power AI-centric features. They will work directly with the Director of AI to build an end-to-end pipeline of ML model development.
We're looking for a Staff Backend Engineer who is passionate about building, testing, deploying, and working closely with the Product team to deliver new features. The role involves designing and developing Grindr's backend services in a stable and scalable microservices architecture.
Lead a team of passionate engineers at Grindr to build the next generation of the Grindr app. Provide thought leadership, technical guidance, and mentorship. Collaborate with product and technical teams to solve complex problems. Experience with high-impact product software, architecture at scale, cloud technologies, native mobile app development, and communication skills.
Design, maintain, and optimize cloud infrastructure using AWS, Kubernetes, and Terraform. Develop and implement CI/CD pipelines. Collaborate with teams on new services and performance tuning. Participate in on-call rotation for reliability issues.