This exciting company is a Series A startup with under 20 engineers providing significant growth and autonomy opportunities.
Focuses on human risk and behavior management in cybersecurity offering personalized training solutions.
Role Requirements
Needs technical leadership and expertise in data infrastructure especially streaming infrastructure like Kafka.
Looking to hire for platforms infra with potential two roles: data infrastructure and technical leadership.
Candidate Requirements
Seeking candidates with 5-7 years of experience eager to advance to staff level positions.
Must demonstrate applied intelligence critical thinking and ability to solve business problems efficiently.
Ideal Candidate Profile
Looking for humble hungry and people-smart individuals who thrive in team environments.
Experience in startups with successful exits or growth and a pattern of progressively challenging roles.
Compensation and Logistics
Compensation up to $200k for candidates with extensive experience meeting all criteria.
Role is likely based in the Bay Area with emphasis on fitting within budget constraints.
Timeline and Urgency
Currently facing upper funnel challenges in the hiring process focusing on improving candidate quality.
Standard interview process includes recruiter screen manager screen and onsite evaluations.
Pain Points
Engineering is becoming a bottleneck for company growth; need to automate and streamline processes.
Current team lacks senior technical mentorship to guide and grow junior engineers.
Growth Opportunities
The company is on a path from $1 million ARR to $10 million ARR offering a "rocket ship" growth opportunity.
Investors and founding team are highly reputable contributing to strong business health and potential.
Industry and Market Context
Preference for candidates from SaaS tech backgrounds over highly regulated industries like health tech or fintech.
Cybersecurity experience is a plus especially for those seeking innovative companies in the field.
Requirements
Ideal candidate:
5 - 10 years of experience as a backend infrastructure or platform engineer that has seen multiple generations of platform growth and ownership at fast-growing winning start-ups
Work experience
Significant tenures (3-4 years) to see multiple generations of platform growth and ownership at fast-growing successful start-ups
Experience leading and mentoring engineering teams providing rigorous technical feedback reviewing designs and helping a junior team to grow
Background in security / high-sensitivity data environments and/or experience with data-driven product features / ML infrastructure
Hard skills
Experience building and operating distributed systems at scale with strong understanding of system design scalability and reliability principles
Built real-time streaming infrastructurewith Kafka including event schema design ETL in the streaming layer and reverse ETL back into a production database
Experience with cloud platforms (AWS/GCP) and workflow orchestration tools
Soft skills
Pragmatic problem-solver who moves fast in ambiguous environments and a team-first mentality (low ego high drive and collaborative by default)
Miscellaneous
Genuine excitement for growth in earlier stage environments (e.g. 4 years at a Series D/E stage companies where growth has now stagnated tend to be good sources)
Required Skills:
Python Agentic AI LLM AWS GCP
Required Education:
BS in engineering (EE preferred any engineering accepted
Company Overview This exciting company is a Series A startup with under 20 engineers providing significant growth and autonomy opportunities.Focuses on human risk and behavior management in cybersecurity offering personalized training solutions.Role Requirements Needs technical leadership and expe...
Company Overview
This exciting company is a Series A startup with under 20 engineers providing significant growth and autonomy opportunities.
Focuses on human risk and behavior management in cybersecurity offering personalized training solutions.
Role Requirements
Needs technical leadership and expertise in data infrastructure especially streaming infrastructure like Kafka.
Looking to hire for platforms infra with potential two roles: data infrastructure and technical leadership.
Candidate Requirements
Seeking candidates with 5-7 years of experience eager to advance to staff level positions.
Must demonstrate applied intelligence critical thinking and ability to solve business problems efficiently.
Ideal Candidate Profile
Looking for humble hungry and people-smart individuals who thrive in team environments.
Experience in startups with successful exits or growth and a pattern of progressively challenging roles.
Compensation and Logistics
Compensation up to $200k for candidates with extensive experience meeting all criteria.
Role is likely based in the Bay Area with emphasis on fitting within budget constraints.
Timeline and Urgency
Currently facing upper funnel challenges in the hiring process focusing on improving candidate quality.
Standard interview process includes recruiter screen manager screen and onsite evaluations.
Pain Points
Engineering is becoming a bottleneck for company growth; need to automate and streamline processes.
Current team lacks senior technical mentorship to guide and grow junior engineers.
Growth Opportunities
The company is on a path from $1 million ARR to $10 million ARR offering a "rocket ship" growth opportunity.
Investors and founding team are highly reputable contributing to strong business health and potential.
Industry and Market Context
Preference for candidates from SaaS tech backgrounds over highly regulated industries like health tech or fintech.
Cybersecurity experience is a plus especially for those seeking innovative companies in the field.
Requirements
Ideal candidate:
5 - 10 years of experience as a backend infrastructure or platform engineer that has seen multiple generations of platform growth and ownership at fast-growing winning start-ups
Work experience
Significant tenures (3-4 years) to see multiple generations of platform growth and ownership at fast-growing successful start-ups
Experience leading and mentoring engineering teams providing rigorous technical feedback reviewing designs and helping a junior team to grow
Background in security / high-sensitivity data environments and/or experience with data-driven product features / ML infrastructure
Hard skills
Experience building and operating distributed systems at scale with strong understanding of system design scalability and reliability principles
Built real-time streaming infrastructurewith Kafka including event schema design ETL in the streaming layer and reverse ETL back into a production database
Experience with cloud platforms (AWS/GCP) and workflow orchestration tools
Soft skills
Pragmatic problem-solver who moves fast in ambiguous environments and a team-first mentality (low ego high drive and collaborative by default)
Miscellaneous
Genuine excitement for growth in earlier stage environments (e.g. 4 years at a Series D/E stage companies where growth has now stagnated tend to be good sources)
Required Skills:
Python Agentic AI LLM AWS GCP
Required Education:
BS in engineering (EE preferred any engineering accepted
Job Location:
Monthly Salary:
Experience Required:
Posted on:
Vacancies:
