Staff Engineer

About Logically

Founded in 2017, Logically combines artificial intelligence with expert analysts to tackle harmful and manipulative content at speed and scale. We work to reduce the individual, institutional, and societal damage caused by misleading and deceptive online discourse. In 2021, the company launched its threat intelligence platform - Logically Intelligence - to help governments and organisations monitor the spread of damaging narratives. In 2023, the company announced its new independent fact-checking unit - Logically Facts - to help deliver accurate fact-checks at scale and provide people with more reliable and accurate information. 

Logically has been named one of the world’s most innovative artificial intelligence companies by Fast Company and won the Rising Star in TechCogX Award.

The company has offices in the UK, US, and India. For more information, please visit Logically.ai

Responsibilities

Work with engineering teams to help deliver high-impact and high-quality solutions by providing technical leadership and expertise, as well as hands-on engineering input Use your expert knowledge and experience to lead architectural discussions for the more complex systems in the department, arriving at solutions that are robust and optimal given the context Work with the engineering leadership and product leadership to ensure priority roadmap items are delivered, whilst ensuring the appropriate trade offs between cost, time, and completeness are considered Understand several work-streams across your area keeping enough context to provide technical guidance to other engineers Be a bar raiser for technical excellence and best engineering practice through your own work, highlighting the work of others and calling out when things haven't quite met the bar Foster a culture of quality, championing measures to test work and encouraging ownership of the code they author Mentor, sponsor and up-skill engineers

Requirements 6+ years working as a professional software developer including some time working in a data processing environment built within cloud technologies Experience coding in Python and TypeScript Experience building ETL workflows /data pipelines to enable real-time processing of large volumes of data. Experience working with NoSQL /search based DBs/Vector DBs like MongoDB, Elasticsearch, chromaDB etc. Experience deploying pipelines in one of the major cloud platform providers such as AWS or GCP Experience using a CI/CD framework such as GH Actions, Bamboo, Jenkins Experience working across engineering teams, helping them to interface on projects Experience deploying automated testing strategies Knowledge of agile software development methodologies Experience facilitating and guiding technical initiatives with cross-functional technical teams Driver of our company values, including our DEI policies, creating an environment of respectful candor, psychological safety, and a desire to act with speed and focus