Software Engineer – PlatformInfrastructure
Job Location:
Monthly Salary:
Experience Required:
Posted:
Application Deadline:
Vacancies:
Job Summary
- 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.
- 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.
- 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.
- 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 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.
- 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.
- 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.
- 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.
- 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.
Ideal candidate:
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
Experience building and operating distributed systems at scale with strong understanding of system design scalability and reliability principles
Built real-time streaming infrastructure with 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
Pragmatic problem-solver who moves fast in ambiguous environments and a team-first mentality (low ego high drive and collaborative by default)
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
