Remote Jobs at Grindr

- Experienced People Leader: Led multiple teams and managers, coached senior engineers, and built diverse, high-performing organizations - Hands-On Management: Comfortable leading ICs directly, driving trust, accountability, and high-quality technical outcomes - Technically Fluent: Deep understanding of engineering systems; a credible partner to your team without needing to be hands-on daily - Cross-Functional Operator: Skilled at collaborating with Product, Design, Business, and external engine…

- 7+ years of hands-on experience in cloud security, with extensive expertise in AWS - Proven track record in securing cloud infrastructure, networking, and containerized environments - Deep knowledge of AWS services, including IAM, EC2, VPC, S3, Lambda, CloudTrail, and other related tools - Extensive experience with SIEM, security observability platforms, and real-time threat monitoring - Solid understanding of network protocols, firewalls, VPNs, and intrusion detection/prevention systems - Exp…

Candidates must have over 7 years of experience building ML systems, with a focus on 0-to-1 system development and creating new capabilities from scratch. Experience with recommendation systems is a plus. Proven ability to deliver at scale, fluency in Python and popular ML frameworks, and experience with data and deployment technologies such as Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, and PySpark are required. Experience building machine/deep learning models with frameworks like PyTo…

- 7+ years of experience as a Software Engineer developing critical portions of Backend Systems (Service APIs, Data Processing, Messaging Services) - Experience designing and implementing large-scale API systems for high load and data consistency in a microservice-based architecture - Experience designing systems that make heavy and efficient use of Cloud Services, AWS preferred - Passionate about testing software and systems - Deep understanding of concurrency concepts and trade-offs - Love fig…

Candidates must have a BS or higher in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field, or equivalent experience. They should possess 7+ years of industry data science experience, strong Python skills for data analysis (pandas, Jupyter Notebook), and proficiency in writing and optimizing complex SQL queries on large datasets. A strong background in inferential statistics, particularly in experimentation (hypothesis testing, power analysis, experimental design)…

- BS or higher in Computer Science, Statistics, Mathematics, Physics, a related quantitative field, or equivalent experience - 4+ years of industry data science experience - Strong communication skills and comfort working with cross-functional partners - Proficiency in Python for data analysis (e.g., pandas, Jupyter) - Strong SQL skills and experience working with large-scale data - Solid foundation in statistics and experimental design - Familiarity with BI tools like Looker, Tableau, or PowerB…

- At least 6 years of experience building complex Android applications - Proficiency in programming in Kotlin - Experience managing large codebases and maintaining clean, structured code - Skills in performance optimization for large, complex applications - Ability to design applications with scalability in mind - Strong knowledge of software engineering collaboration best practices and design patterns including MVVM, Coordinator, one-way data flow, and modular architecture - Experience with Arc…

- At least 6 years of experience building complex iOS applications - Well-built technical experience that inspires individual contributors' creativity and innovation - Experience with product leadership and technical decision-making, including good judgments and tradeoffs between product and code - Experience working closely with various levels of business stakeholders, from C-suite, VP level, and down - Ability to jump into code at a deep level and contribute to long-term initiatives by mentori…

- 5+ years of experience in site reliability engineering including incident response, incident management, automation, and performance optimization - 5+ years of experience in cloud platforms (AWS preferred) - 4+ years of experience working with DevOps technologies such as Docker, Kubernetes, Helm, and Terraform - 4+ years developing and maintaining CI/CD pipelines - 4+ years experience using a scripting language like Python or Bash - Experience coding in Kotlin or another JVM language is a plus…

Candidates should possess over 10 years of experience in data at scale, with a strong focus on data platforms and developer experience. Expertise in Python and SQL, along with significant experience in distributed data systems, is required. Hands-on experience with Airflow and dbt, including setting up dbt from scratch, is essential. Strong knowledge of Spark, Databricks, or other distributed computing platforms for ML training is necessary. Experience with AWS and cloud-native architectures is …

- 5+ years of experience as an Executive Assistant supporting VP, SVP, and C-Level executives in a fast-paced and growing company - Exceptional organizational and time-management skills, with the ability to handle multiple priorities - High integrity, service orientation, and discretion - Proactive problem solver with demonstrated ability to resolve issues promptly - Strong written and verbal communication skills - Proven ability to exercise judgment, professionalism, and discretion in handling …

- 7+ years of experience as a Software Engineer contributing to Backend Systems (Service APIs, Data Processing, Messaging Services) - Experience designing and implementing large-scale systems for high load and data consistency in a microservice-based architecture - Experience designing systems that make heavy and efficient use of Cloud Services, AWS preferred - Passionate about testing software and systems - Deep understanding of concurrency concepts and trade-offs - Love figuring things out and…

Candidates should have 10+ years of experience building ML systems with a focus on 0-to-1 system development, platform-scale architecture, and creating new capabilities from scratch, with fluency in Python and popular ML frameworks. Experience using data and deployment technologies such as Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, PySpark, building machine/deep learning models with PyTorch, Tensorflow, or Keras, and experience with any public cloud environment (AWS, GCP, or Databricks…

- 10+ years of experience building ML systems with a focus on 0-to-1 system development, platform-scale architecture, and creating new capabilities from scratch - Experience with recommendation systems or similar is a plus - Proven ability to deliver at scale, with fluency in Python and popular ML frameworks - A scrappy mindset—you tackle messy challenges head-on and get real results - Experience using data and deployment technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, PySpark…

Candidates must possess a BS or higher in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field, or equivalent experience. A minimum of 10 years of industry data science experience is required, with a proven track record of influencing senior stakeholders and company-level outcomes. Strong Python skills for data analysis using pandas and Jupyter Notebook, experience writing and optimizing complex SQL queries on large datasets, and a solid background in inferential s…