Team Culture Great things happen when people can bring their authentic selves to work. We empower all of our employees to share their perspectives, passions, and experiences because collectively we make a better, stronger team. Our team members collaborate closely with peers & cross-functional stakeholders throughout the business, our clients on the forefront of digital transformation, and the cutting edge of digital manufacturing thought leadership.
We take pride in our self-starter culture where employees are enabled and encouraged to achieve their professional goals through leadership guidance, learning, and development. Our philosophy is that careers are continuous journeys, and we dedicate time and offer resources so that employees can reach their full potential.
Benefits + Perks We value you at and outside of work and know your loved ones are important. Our benefits are designed to support you and your family's health through life's expected and unexpected events.
Our Benefits Include:
Competitive Salary + Stock Options Health Care Coverage + Life Insurance + Health Savings Account + Flexible Spending Account (includes spouse + children) Flexible Vacation Policy Adaptable Working Schedule and Environment Our Perks Include:
Casual Dress Attire Hybrid work flexibility Catered Lunches, Snacks, and Beverages Commuter Savings Program Company Outings Designated Volunteering Hours + Group Volunteer Events Sight Machine is proud to be an equal opportunity employer and considers candidates regardless of age, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Sight Machine also considers qualified applicants regardless of criminal histories, consistent with legal requirements.
About Sight Machine, Inc. Sight Machine strengthens manufacturers by providing the industry's only standard data model and system-level visualization capabilities. By integrating all crucial data into a single innovative platform, everyone involved in the fabrication process can visualize, contextualize, and examine data in one intuitive interface.
Sight Machine is committed and mission-driven to improve lives, strengthen communities and make the world cleaner through continuously re-envisioning manufacturing processes - making them more efficient, sustainable, and absolute. Founded in Michigan in 2011 and expanded to San Francisco in 2012, Sight Machine blends the spirit of technology innovation and the down-to-earth style of Detroit manufacturing. Our team includes early leadership from Yahoo, Tesla Motors, and Oracle. Together, we share wide industry knowledge and a commitment to advance manufacturing to a more sustainable future.
At Sight Machine, you will work with manufacturing leaders in the automotive, medical device, apparel, construction, and pharmaceutical industries. You will have access to, and work with massive amounts of factory floor data to help uncover insights on how customers make products and develop solutions to pressing business problems. The platform solves problems like Extract Transform Load (ETL), information retrieval, data aggregation and analytics, factory automation, distributed computing, and security.
We place great value on professional, technical, and personal growth in an inclusive, collaborative environment. The ideal candidate will have a passion for technology and a strong can-do attitude.
Requirements Design, architect, and implement components of our streaming ETL platform with a focus on observability, reliability, and scalability that minimizes bugs, ensures reproducibility, and graceful recovery from failures. Take ownership of end-to-end quality from design through implementation and testing. Participate in code review with peers and work to improve the quality of the ETL codebase continuously. Improve alerting to monitor, diagnose, and resolve bugs and performance bottlenecks in production systems in a timely manner. Qualifications 5+ years of industry experience building robust backend systems. Experience building high-performance systems with Java / C++. Experience developing highly-concurrent systems. Experience with data-intensive applications with high complexity, e.g., ETL or other data pipeline systems. Nice to haves: Expertise with database internal structures such as B-trees and LSM trees. Experience testing distributed systems for performance and accuracy. Experience with docker orchestration (ECS, k8s, etc.).
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