LGBTQWERTY: Starting the Conversation

As an ‘agency of the future’, diversity within tech hiring has been a topic of increasing interest to us at Third Republic- in fact, you may already know us from our upcoming virtual Women in Tech week, or from our WiTQA blogs that we’ve been running for the last 2 years.

However, this year more than ever, it has become clear to everyone that there is more to diversity in hiring than the male/female question, and thus we’re starting a new conversation at Third Republic, and we’re calling it LGBTQWERTY.

When it comes to gender or race, hiring managers often know the demographics of their applicants not only by the time they meet them, but most likely by the time they’ve read their CV.

When we discuss barriers to employment and discriminatory hiring practices, we often talk about what can be seen from a CV – removing names, pictures etc. But what of those backgrounds that may not be necessarily immediately obvious, but nonetheless deeply affect the individual’s comfort and confidence in the workplace?

I’m not saying LGBT+ in Tech is a new topic by any means – anyone tuned into British news will be well aware of what Alan Turing gave today’s tech community, and what he sacrificed for it under homophobic law. Perhaps those with an interest could name famous faces such as Lynn Conway, or Jon Hall (well, you might know him as ‘Maddog’).

Organisations such as LGBTTech, Lesbians Who Tech and Out in Tech have already been exploring this conversation in detail and supporting the community to connect to each other. But is the conversation being had in the wider tech community, outside of specialist organisations formed to encourage it, and during Pride month once per year? That part, I’m not so sure about.

It strikes me that LinkedIn, my main platform for chatting to contacts in the tech community, is the only place I could still be considered ‘in the closet’ (or was until this post!) and there’s certainly an awareness there of how being openly lesbian could affect my networks and my ability to keep having great conversations with some of the finest automation and cloud nerds in Germany. 

It’s impossible to reflect on this myself without wondering what similar inhibitions other LGBT+ people in the markets I work with may be facing in their career choices.

Consider this an introduction, and a ‘watch this space’- we, and some seriously impressive LGBT+ influencers within Digital Transformation, have so much more to share with you.

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Software Developers
Senior Engineers
Software Architects
Senior Software Architects
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Senior Software Tech Leads
Software Tech Lead Managers
Senior Software Tech Lead Managers
Director of Engineering
VP of Engineering

 

Software Developers
Senior Engineers
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Senior Software Architects
Software Tech Leads
Senior Software Tech Leads
Software Tech Lead Managers
Senior Software Tech Lead Managers
Director of Engineering
VP of Engineering

 

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Mobile Developers
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No1 software engineers

Full-stack Developers
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No1 software engineers

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React.js
Node.js
AWS
JavaScript
React
Native
PostgreSQL
Ruby on Rails
Java
Angular
Golang
PHP

React.js
Node.js
AWS
JavaScript
React
Native
PostgreSQL
Ruby on Rails
Java
Angular
Golang
PHP

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Data Scientists
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Data Architects
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BI Developers
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Cloud DW: Snowflake, BigQuery, Redshift ETL/ELT Tools: Airflow, dbt, Fivetran, Talend Big Data Frameworks: Spark, Hadoop, Kafka BI & Visualization: Tableau, Power BI, Looker ML Libraries: TensorFlow, PyTorch, Scikit MLOps Platforms: MLflow, Kubeflow, W&B Data Governance: Collibra, Alation Data Observability: Monte Carlo, Databand Data Lakes: Lake Formation, Delta Lake SQL/NoSQL DBs: PostgreSQL, MongoDB Real-time Analytics DBs: Apache Pinot, Druid Gen

Cloud DW: Snowflake, BigQuery, Redshift ETL/ELT Tools: Airflow, dbt, Fivetran, Talend Big Data Frameworks: Spark, Hadoop, Kafka BI & Visualization: Tableau, Power BI, Looker ML Libraries: TensorFlow, PyTorch, Scikit MLOps Platforms: MLflow, Kubeflow, W&B Data Governance: Collibra, Alation Data Observability: Monte Carlo, Databand Data Lakes: Lake Formation, Delta Lake SQL/NoSQL DBs: PostgreSQL, MongoDB Real-time Analytics DBs: Apache Pinot, Druid Gen

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Programming in Python, R, and SQL
Python
Data Modeling Statistical
Analysis ETL/ELT
Pipeline Development
Database Design & Administration
Machine Learning Fundamentals
Cloud Data Warehousing
Data Ethics & Compliance
Data Security
Data Visualization & Storytelling
Real-Time Data Streaming

Programming in Python, R, and SQL
Python
Data Modeling Statistical
Analysis ETL/ELT
Pipeline Development
Database Design & Administration
Machine Learning Fundamentals
Cloud Data Warehousing
Data Ethics & Compliance
Data Security
Data Visualization & Storytelling
Real-Time Data Streaming

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LLMs: Open AI, Anthropic, Llama, Gemini ML Platforms: SageMaker, Vertex AI, Azure ML ML Libraries: scikit-learn, XGBoost, LightGBM DL Frameworks: TensorFlow, PyTorch, Keras LLM Frameworks: LangChain, LlamaIndex Vector Databases: Pinecone, Weaviate, Milvus Data Science Notebooks: Jupyter, Colab, Kaggle Data Visualization Libraries: Matplotlib, Seaborn NLP Libraries: Hugging Face Transformers CV Libraries: OpenCV, Pillow, Albumentations MLOps Tools: MLflow, Kubeflow, W&B

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Generative AI Development
Machine Learning Algorithms
Deep Learning Architectures
NLP and NLG
Computer Vision
Data & Feature Engineering
MLOps & Model Deployment
Statistical Analysis & Hypothesis Testing
Python and R Programming Expertise
Model Evaluation & Performance Tuning
AI Governance & Compliance
Autonomous AI Agent Engineering
Building Agentic AI Applications

Generative AI Development
Machine Learning Algorithms
Deep Learning Architectures
NLP and NLG
Computer Vision
Data & Feature Engineering
MLOps & Model Deployment
Statistical Analysis & Hypothesis Testing
Python and R Programming Expertise
Model Evaluation & Performance Tuning
AI Governance & Compliance
Autonomous AI Agent Engineering
Building Agentic AI Applications