Lead Software Engineer, Data Analytics
Göteborg, Stockholm, Remote Sweden
Applications have closed
Recorded Future, Inc.
Recorded Future is the most comprehensive and independent threat intelligence platform. Identify and mitigate threats across cyber, supply-chain, physical and fraud domains.With more than 800 employees, $200M ARR in 2021, 1,400+ clients, and rapid year-over-year growth, Recorded Future is the world’s largest intelligence company!
We are looking for an outstanding software engineer with a strong interest in data analytics to join Recorded Future’s Analytics Team within the R&D organization. You will be joining a group of talented engineers, linguists and data scientists that share a common interest in solving challenging data analytics tasks in large distributed systems with rich data. The team's responsibilities include core parts of the analytics pipeline such as data harvesting, natural language processing, structured data analytics, predictive analysis, etc. We strive to make our data as actionable and comprehensive as possible and have fun.
You would get the chance to develop great software in a fast-moving environment close to our global clients and their needs. Together, we’ll improve our product to meet increasing demands while focusing on scalability and quality. You will also get a chance to experiment with new technology and explore what solutions are most suitable for solving real-world problems. You would join a dynamic team eager to take on new challenges and are passionate about what they do.
What you will be doing as a Lead Software Engineer:
- Work on complex issues where analysis of situations or data requires an in-depth evaluation
- Work together with our product teams to understand and deliver expected results
- Continuously design, develop and deploy our software, analytics, and processing technology to support new and existing features with a focus on high availability, excellent quality, low latency, and scalability
- Select methods and techniques for obtaining solutions
- Determine methods and procedures for new assignments, may coordinate efforts of colleagues
- Measure and evaluate features and system metrics to continuously improve data quality and service performance
- Support DevOps and MLOps activities
- Access to the energy, velocity, and freedom of an entrepreneurial culture
- Networks with key contacts outside area of expertise
- Proactive, go beyond expectations, and independent
- Having wide-ranging experience uses professional concepts and company objectives to resolve complex issues creatively and effectively
What you will need as a Lead Software Engineer:
- Minimum 10 years of experience as a software engineer
- Experience with data analytics and data processing
- Experience in technical leadership, leading project teams, and setting technical direction
- Experience with more than one general-purpose programming language (Scala, Java, Python)
- Ability to learn other coding languages as needed
- Experience and comfort in API development
- Architect and develop solutions to ambiguous problems with significant impact
- Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to product, engineering, and business audiences
- Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or equivalent education/work experience
- Strong English skills are a must
Bonus points for:
- Experience in RabbitMQ, MongoDB, Elasticsearch, Docker, AWS, and Software libraries for Machine Learning like TensorFlow, Spacy, etc.
- Experience in ML Ops, deploying and monitoring real-time inference models and ETL (extract, transform and load) pipelines
- Experience from a DevOps role
- Experience handling both research and development
- Deep understanding of machine learning and image/video/text/patterns processing algorithms
- Experience in building, deploying, and improving Machine Learning models and algorithms in real-world products
Diversity has been essential to Recorded Future since day one, and that is clearly visible in all teams in the company, yet there’s always room for improvement. In essence, we welcome applications that will help us improve this even more.
Why should you join Recorded Future?
Recorded Future employees (or “Futurists”), represent over 35 nationalities and embody our core values of being passionate, practicing inclusion, and acting ethically. Our dedication to empowering clients with intelligence to disrupt adversaries has earned us a 4.7-star user rating from Gartner and 8 of the top 10 Fortune 100 companies as clients.
Want more info?
Blog & Podcast: Learn everything you want to know (and maybe some things you’d rather not know) about the world of cyber threat intelligence
Instagram & Twitter: What’s happening at Recorded Future
The Record: The Record is a cybersecurity news publication that explores the untold stories in this rapidly changing field
Timeline: History of Recorded Future
Recognition: Check out our awards and announcements
We are committed to maintaining an environment that attracts and retains talent from a diverse range of experiences, backgrounds and lifestyles. By ensuring all feel included and respected for being unique and bringing their whole selves to work, Recorded Future is made a better place every day.
If you need any accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our recruiting team at careers@recordedfuture.com
Recorded Future is an equal opportunity and affirmative action employer and we encourage candidates from all backgrounds to apply. Recorded Future does not discriminate based on race, religion, color, national origin, gender including pregnancy, sexual orientation, gender identity, age, marital status, veteran status, disability or any other characteristic protected by law.
Recorded Future will not discharge, discipline or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant.
Tags: API Development APIs AWS Computer Science Data Analytics DevOps Distributed Systems Docker Elasticsearch Engineering ETL Machine Learning ML models MLOps MongoDB NLP Pipelines Python R R&D Research Scala spaCy TensorFlow
Perks/benefits: Career development Flex vacation Salary bonus Startup environment Team events
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