Staff Software Engineer, DevOps
Beacon AI
About Beacon AI
Beacon AI is developing AI pilot assistant technology to transform aviation, flight safety, operational efficiency, and pilot capabilities. We are on a mission to leverage the power of artificial intelligence and advanced data analytics to revolutionize the aviation industry. Join us to be at the cutting edge of technological innovation for the second century of aviation.
Role Overview
We are seeking a Staff DevOps Engineer to lead the design, implementation, and optimization of our cloud infrastructure and DevOps practices. This pivotal role requires deep technical expertise, strategic vision, and the ability to set a high technical bar across the engineering organization. As a senior leader on our engineering team, you will drive critical initiatives, own product milestones, and ensure our infrastructure meets the highest standards of scalability, reliability, and security. This role is ideal for someone who thrives in a startup environment, takes ownership, and is excited to bring new ideas to life from 0 to 1.
What You’ll Do
DevOps Leadership: Design, implement, and maintain robust DevOps practices, including CI/CD pipelines, automation, and Infrastructure as Code (IaC) using tools like AWS CDK, ensuring scalability and reliability for mission-critical systems.
Strategic Ownership: Take ownership of specific product lines, milestones, or feature sets and drive them forward with minimal supervision, ensuring delivery of high-impact solutions end-to-end.
Cloud Infrastructure Expertise: Develop and manage infrastructure that efficiently supports cloud-based systems and services, ensuring data integrity, security, and accessibility.
Bulk Data Management: Oversee bulk data ingestion and management processes into AWS services, ensuring performance, scalability, and compliance.
IoT Infrastructure Development: Lead efforts to deploy, maintain, and optimize infrastructure that supports IoT devices integrated into customer systems.
Advanced Troubleshooting: Provide expert-level troubleshooting and debugging for complex cloud systems, ensuring high uptime and reliability.
Performance Optimization: Analyze and optimize system performance to deliver responsive and reliable applications interfacing with time series data and multimedia streams.
Data Security and Compliance: Implement and enforce strict data security measures, adhering to industry standards and regulations.
Mentorship and Hiring: Contribute to hiring efforts by setting a high technical bar, leading interviews, and mentoring junior engineers to foster technical excellence.
What Will Make You Successful
Extensive DevOps and Cloud Infrastructure Experience: 6-10+ years of experience as a Senior DevOps Engineer, Infrastructure Engineer, Site Reliability Engineer, or equivalent role.
Proven Technical Expertise: Demonstrated ability in architecting, implementing, and optimizing secure, reliable, and highly available systems, with a strong focus on AWS.
Technical Excellence: Embodies a commitment to technical excellence, setting a high bar for code quality, scalability, and design decisions.
Ownership Mentality: Demonstrates a startup mentality, taking full ownership of initiatives and driving them forward independently with a strong work ethic and output orientation.
0-to-1 Initiative: Excited to own and drive new initiatives from inception to implementation, building impactful products with minimal supervision.
Automation Expertise: Strong background in designing and managing automated pipelines, monitoring systems, and deployment processes.
Problem Solving: Exhibits exceptional analytical and problem-solving abilities, proactively identifying blockers and implementing effective solutions to maintain project momentum.
Collaboration and Communication: Leads projects effectively while collaborating with multidisciplinary teams, ensuring alignment and successful execution.
Bonus Points
Serverless Technologies: 4+ years of experience working with serverless architectures in AWS or another cloud provider.
Big Data Expertise: Familiarity with processing and analyzing large datasets using big data technologies.
Machine Learning: Experience applying machine learning techniques to extract insights from live or historical data.
Aviation Knowledge: Understanding of aviation industry-specific challenges and data needs.
DevSecOps: Proven experience automating and optimizing workflows to improve development velocity and security.
Join Beacon AI to be at the forefront of innovation, driving the transformation of aviation technology and making a tangible impact on the future of flight.
This is a hybrid role and requires working from our San Carlos, CA office at least three days a week, with the option to work remotely the remaining days.
Perks & Benefits for Full-Time Employees:
Comprehensive Healthcare Coverage: Enjoy peace of mind with our generous health benefits, with 80% of costs covered by the company for the employee and 25% for their dependents.
Paid Time Off: Recharge and relax with 3 weeks of paid vacation, in addition to 14 company-paid holidays each year.
Connectivity Stipend: Stay connected with our cell phone benefit, ensuring you have the tools you need to excel in your role.
Health and Wellness Allowance: Use this towards a gym membership or subscription to a meditation app, empowering you to prioritize self-care and maintain a healthy lifestyle.
-
Financial Planning: Prepare for the future with our 401(k) program. While we currently do not offer matching, we are committed to enhancing this benefit in the future.
For nearly all roles, the following may apply:
At this time, due to United States Department of State regulations, we are only able to hire U.S. Persons. A U.S. Person is a lawful permanent resident (U.S. citizen, legal immigrant with a 'Green Card', or a protected individual who has been granted permanent asylum or refugee status.) These aerospace restrictions mean that we are unable to provide visa sponsorship or consider candidates who require visa transfers. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future.
Beacon AI provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. In addition to federal law requirements, employer complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Employer expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of employees to perform their job duties may result in discipline up to and including discharge.