Plan & Provide Direction:
Build, lead and implement the strategic vision on technological architecture and infrastructure, stack and roadmaps for product scale and ensuring that we achieve our key business objectives.
Be primary communicator of the roadmap and our progress against it.
Evaluate technology for short, mid and long term visions managing technical debt respectively
Make sure we have the right processes, tools and systems to deliver on the product and business opportunities
Lead:
Actively recruit top talent and maintain a pipeline of candidates for speed to hire
Drive decisions on technical resources and budgets for efficiency and ability to scale
Define goals and objectives, track and deliver key productivity metrics and continually work towards improving team efficiency and engineering capacity
Develop and foster a culture of speed and innovation along with resolving customer challenges
Mentor, train, coach, facilitate and monitor team professional development
Give and get ongoing feedback and regular performance evaluation
Technological Excellence:
Understand our business, the markets we serve, and the customer so that product and engineering are effectively aligned to deliver excellent and scalable SaaS solutions
Own and continuously improve the process for delivering market-leading SaaS solutions delivering rapid iteration with predictability and quality
Lead/drive the evaluation of external technologies and platforms
Be the technical voice of the business
Effectively balance technical debt resolution with feature/function output
Establish and promote Agile principles and best practices across all teams
Work with other teams to maintain transparency making sure we work as team building a holistic product from inception to the customer in the field
What we are looking for:
Strong technical hands on leadership skills across an organization
Experience working we hybrid partially remote team structure
3+ years in “big data” and machine learning modeling and platforms
3+ years Experience with processing of large data systems with technologies like Spark, Neural Networks, etc for analytics, machine learning, and predictive modeling
8+ years developing software applications targeting multiple runtime environments
3+ year Ruby on Rails or Python’s Django
5+ years delivering SaaS software in a cloud environment and standalone server bases.
Experience with SQL, NoSQL and RDBMS data stores
Experience with developing a micro service architecture to support product business-driven development
5+ years leading multiple high performance software delivery teams
Expert knowledge of GIT source control
Expert knowledge of automated build/deploy, scaled monitoring and support tools
Comfortable with collaboration, open communication and reaching across functional borders
Background PCI compliance, ISO standards, PII security though the whole stack
Adherence to policies, procedures and documentation standards
Strong automotive knowledge
Advanced English would be a big plus
About Scalarr
Scalarr Inc. is an international mobile antifraud company founded in 2016. Our mission is to maximize the invested marketing dollars for mobile app developers and at the same time to decrease the worldwide app install fraud loss of $4.6B.
With our Machine Learning based anti-fraud solution we help mobile developers use data to drive efficient decisions on their user acquisition strategy and ensure their sustainable company growth. We combine business experience, expertise in large-scale data analysis and advanced software engineering know-how to combat even the most sophisticated fraud.
We are very proud to have among our clients trusted industry leaders like Yandex, Huuuge Games, Pixonic, Genesis, JOOM, GOODGAME Studios, Aviasales, and many others.
Scalarr won bronze for “Tech Start-up of the Year” in the 2018 International Business Awards® due to our innovative product and success in the market.
Company website:
http://scalarr.io/
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