
Technical Lead at Cisco
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PLEASE READ BEFORE CONTACTING ME! To recruiters and agencies: I do not need assistance in finding candidates for my team. To save both yours and mine time, please do not contact me regarding that matter. If you think you have a great opportunity that I might be interested in, please start your message with "Good day" as a greeting, so I know you have actually read my profile. All other messages will be ignored.
Voronezh State University
Engineer's degree, Computer Science
January 1, 2002 – January 1, 2007
Cisco
Technical Lead
November 1, 2023 – Present
Stockholm, Sweden · Hybrid
Working Group Two (now part of Cisco)
Technical Lead
January 1, 2022 – October 1, 2023
Working Group Two (now part of Cisco)
Software Engineer
January 1, 2019 – January 1, 2022
[24]7.ai
Data Science Team Leader, Predictive Search Bidding
January 1, 2018 – December 1, 2018
Stockholm, Sweden
[24]7.ai
Head of Backend, Predictive Search Bidding
September 1, 2015 – January 1, 2018
Stockholm, Sweden
Campanja, a [24]7 company
Software Engineer
September 1, 2013 – September 1, 2015
Stockholm, Sweden
Yandex
Erlang Developer
April 1, 2011 – August 1, 2013
Moscow, Russia
Economics Bank
Deputy Head of IT
May 1, 2010 – April 1, 2011
Moscow, Russia
National Reserve Bank
IT Specialist
September 1, 2006 – April 1, 2010
Voronezh, Russia
Cultural Fit Analysis
The candidate has a diverse background across various companies and roles, including technical leadership and software engineering. The experience with different technologies and team transfers at Working Group Two suggests adaptability. However, the target role is 'Big Data Engineer', and while there is significant relevant experience, the most recent roles at Cisco/Working Group Two are more focused on telecommunications infrastructure and backend services rather than pure big data engineering. The earlier roles at Campanja/24.7.ai are highly relevant to big data, machine learning data pipelines, and real-time tracking. The candidate's long tenure and varied responsibilities indicate a willingness to take on new challenges and lead initiatives. The candid comments might indicate a preference for practical, efficient solutions over academic rigor, which could be a good fit for a fast-paced engineering environment.
Soft Skills & Operational Fit
The candidate's experience descriptions indicate a proactive approach to problem-solving (e.g., setting up CI processes, migrating infra to k8s, coming up with Intel Multus setup). Leadership roles suggest strong team coordination and architectural decision-making abilities. The candid descriptions (e.g., "Oh boy, I wish it was easier," "Ugh," "limited success") suggest self-awareness and a pragmatic, results-oriented mindset, though they could also imply frustration with certain processes or team dynamics.