\nAbout Cyngn \nBased in Menlo Park, CA, Cyngn is a publicly traded autonomous vehicle company. We have a culture of collaboration, diversity, and continuous learning. Whether at a warehouse, factory, or industrial facility, our self-driving technology can be deployed in various commercial domains across various vehicle form factors. To build this emergent technology, we seek innovative, motivated, and experienced leaders to join our team and move this field forward. If you like to build and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn:  \n\n\nWe are Small and Big. \nWith under 100 employees, Cyngn is still a company that operates with the energy of a startup. On the other hand, we are publicly traded. Combined, our employees not only work in close-knit teams with close mentorship from company leaders, but they also get access to the liquidity of our publicly traded equity. This gives our small team the opportunity to make a big impact in industries that other people aren’t touching—without taking on the risks associated with untested organizations. \n\n\nWe Build Today and Deploy Tomorrow. \nOur employees aren’t just researchers but are creating reality. In other words, the autonomous vehicles we’re building are designed to go to real clients right away. We are driven by our passion for innovation, our ability to see the entire product, and the real impact of our work in the real world. At Cyngn, the distance between the theoretical and the actual is razor-thin. \n\n\nWe aren’t robots. We just build them. \nRead our Glassdoor reviews, and you’ll find that one of the best things about working here is the people. We are an inclusive, diverse team of top talent with exceptional synergy. We thrive on open collaboration and a trusting and creative work environment that is fueled by our passion for the industry. At Cyngn, everyone’s voice is valued, and each of our unique perspectives is celebrated. It’s the people that allow our company to continue to grow bigger and better every day\n\n\nAbout this role: \nAs a Full Stack Engineer at Cyngn, you will play a crucial role in developing our innovative fleet management system for autonomous industrial vehicles. You will contribute to building a scalable, high-performance SaaS platform that enables real-time control and monitoring of autonomous vehicles. Your diverse skill set will allow you to seamlessly move between backend and frontend tasks, helping to create a cohesive and efficient system that empowers our customers to optimize their automated workflows and maximize operational efficiency.\n\n\n\nWhat you will do in this role\n* Develop and maintain both backend and frontend components of our cloud-based fleet management system\n* Collaborate with Backend and Frontend Tech Leads to implement new features and improve existing functionality\n* Write clean, efficient, and maintainable code in languages such as Python, Go or Java for backend, and React, Redux and TypeScript for frontend\n* Contribute to the design and implementation of RESTful APIs and real-time data processing pipelines\n* Assist in developing and optimizing database schemas and queries for both SQL and NoSQL databases\n* Implement responsive and intuitive user interfaces\n* Contribute to the development of advanced mapping features and geospatial data processing\n* Participate in code reviews, providing constructive feedback to peers\n* Assist in troubleshooting and resolving production issues across the full stack\n* Implement and maintain unit tests, integration tests, and end-to-end tests\n* Contribute to the continuous improvement of our development processes and tooling\n* Stay current with emerging technologies and best practices in full stack development\n\n\n\nWho you are\n* 5+ years of professional software development experience in full stack roles\n* Strong proficiency in backend development using Python, Go, Java, or similar languages\n* Solid experience with frontend development using React, Redux, and TypeScript\n* Familiarity with cloud platforms (AWS, Azure, or GCP) and microservices architectures\n* Experience with database design and management, both SQL and NoSQL\n* Knowledge of RESTful API design and implementation\n* Understanding of event-driven architectures and message queuing systems\n* Experience with containerization technologies such as Docker and Kubernetes\n* Familiarity with version control systems (e.g., Git) and CI/CD pipelines\n* Strong problem-solving skills and ability to debug complex issues across the full stack\n* Good understanding of software design patterns and architectural principles\n* Excellent communication skills and ability to work effectively in a collaborative team environment\n* Strong collaboration skills with low ego\n\n\n\nNice to haves\n* Experience with WebSocket implementations\n* Familiarity with mapping libraries (e.g., Mapbox) and geospatial data handling\n* Knowledge of IoT platforms or autonomous systems\n* Experience with data visualization and dashboard creation\n* Experience with performance optimization for both backend and frontend systems\n* Familiarity with time-series databases for handling sensor data\n\n\n\nBenefits & Perks\n* Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)\n* Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)\n* Company 401(k)\n* Commuter Benefits\n* Flexible vacation policy\n* Remote or hybrid work opportunities\n* Stock options for all full-time employees\n* Sabbatical leave opportunity after 5 years with the company\n* Paid Parental Leave\n* Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages\n* Monthly meal and tech allowances for remote employees\n\n\n\n\n\n$165,000 - $215,000 a year*Please note salary range is for Bay Area residents - we're still accepting remote applicants!\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Docker, Java, Cloud, Typescript, API, Senior, Engineer and Backend jobs that are similar:\n\n $65,000 — $97,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nMenlo Park, CA

\nAbout the company\n\n\nZeotap is the next-generation Customer Data Platform. It empowers brands to unify, enhance and activate customer data in a cookieless future, all while putting consumer privacy and compliance front-and-centre. Recognised by Gartner as a “Cool Vendor”, Zeotap works with over 80 of the world’s top 100 brands, including P&G, Nestlé and Virgin Media. It is also the founding member of ID+, a universal marketing ID initiative.\n\n\nZeotap is expanding its SAAS product suites branded as Customer Intelligence Platform consisting of an integrated product suite for Customer data collection, ID resolution, Predictive Analytics, Audience management and Activation. \nOur ideal candidate will be passionate about helping our enterprise customers and business teams across the globe, enjoy resolving problems, identifying root causes of issues, and thrive in a team environment. The incoming person would be responsible for end-to-end ticket resolution and communication with the customers and other stakeholders within the SLA, escalations to the internal teams based on SOPs, creation of internal knowledge based articles and perform engineering support activities as and when required.\n\n\n\nResponsibilities:\n* You will design and implement robust, scalable, and high-performance data pipelines using Spark, Scala, and Airflow with familiarity on Google Cloud.\n* You develop, construct, test, and maintain architectures such as databases and large-scale processing systems.\n* You will assemble large, complex data sets that meet functional and non-functional business requirements.\n* You build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources.\n* You will collaborate with data scientists and other stakeholders to improve data models that drive business processes.\n* You implement data flow and tracking using Apache Airflow.\n* You ensure data quality and integrity across various data processing stages.\n* You monitor and optimize the performance of the data processing pipeline.\n* You will tune and optimize Spark jobs for performance and efficiency, ensuring they run effectively on large-scale data sets.\n* You troubleshoot and resolve issues related to data pipelines and infrastructure.\n* You stay up-to-date with the latest technologies and best practices in Big Data and data engineering.\n* You adhere to Zeotap’s company, privacy and information security policies and procedures\n* You complete all the awareness trainings assigned on time\n\n\n\n\nRequirements:\n* 1+ years of experience in building and deploying high scale solutions\n* Must have very good problem-solving skills and clear fundamentals of DS and algorithms\n* Expert coding skills in Java or Scala\n* Expert coding skills in Go or Python is a huge plus\n* Apache Spark or other Bigdata stack experience is a mandatory\n* High level and low-level design skills.\n* Deep understanding of any OLTP, OLAP, NoSQL or Graph databases is a huge plus.\n* Deep knowledge of distributed systems and design is a huge plus\n* Hands-on with Streaming technologies like Kafka, Flink, Samza etc is a huge plus\n* Good knowledge of scalable technologies involving Bigdata technologies \n* Bachelor or Master’s degree in information systems, computer science or other related fields is preferred \n\n\n\n\nWhat we offer:\n* Competitive compensation and attractive perks\n* Health Insurance coverage \n* Flexible working support, guidance and training provided by a highly experienced team\n* Fast paced work environment\n* Work with very driven entrepreneurs and a network of global senior investors across telco, data, advertising, and technology\n\n\n\n\n\nZeotap welcomes all – we are equal employment opportunity & affirmative action employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.\n \nInterested in joining us?\n \nWe look forward to hearing from you! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Python, Java, NoSQL, Senior, Marketing and Engineer jobs that are similar:\n\n $60,000 — $90,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBengaluru, Karnataka

\nThe Patrick J. McGovern Foundation (PJMF) is a philanthropic organization dedicated to advancing artificial intelligence and data science solutions to create a thriving, equitable, and sustainable future for all. PJMF works in partnership with public, private, and social institutions to drive progress on our most pressing challenges, including digital health, climate change, broad digital access, and data maturity in the social sector.\n\n\nThe Patrick J McGovern Foundation (PJMF) is seeking an experienced, multi-faceted and self-driven Software Development Engineer (SDE). This role sits within the Data Solutions team and will be directly engaged with the development, deployment and maintenance of data and AI products that will drive positive social impact around the world. The charter of the Data Solutions team is to identify, develop and deploy strategic data and AI solutions, focused on unlocking opportunities and addressing broad challenges the social good sector is facing now, and in the near future. The SDE is responsible for full stack development of cloud solutions that are based around ML model predictions, using a rapid prototyping development approach. We are a small, high performance team and in many ways function as a startup. As such, the ideal candidate will be someone who can develop an end-to-end solution around which our ML products will be deployed.\n\n\n\nHow you will make an impact\n* Work closely with the Technical Product Manager, along with partners and end-users, to understand their challenges in order to build effective and safe products\n* Understand end-user needs to build applications that can solve their challenges\n* Prototype, develop, test and deploy highly reliable, safe and scalable full stack solutions\n* Ability to develop frontend and backend applications to support and integrate with our data and AI solutions\n* Monitor and maintain application performance, functionality, scalability and security\n* Develop secure, modularized, well-documented and reusable code\n* Employ rapid prototyping techniques to quickly develop and iterate on product deployment and fast integration of end-user feedback loop\n* Integrate necessary data technologies, platforms, tools, and 3rd party tools needed for product deployment and functionality\n* Ensure appropriate maintenance, bug fix and feature requests are resolved\n* Create appropriate system diagrams and documentation\n\n\n\nWhat you'll need to succeed:\n* Experience - Demonstrated experience in full stack development and deployment\n* Technologies - Strong programming experience with Python, Scala, Java, Javascript or similar languages. Strong production experience with using cloud services and infrastructure, containerization (Docker) and orchestration (Kubernetes) tools. Experience with CI/CD, software bug tracking, version control and feature request management, using tools like Jenkins, Jira, GitHub, etc. Experience with build systems (make, gradle, etc) and package management (pip, etc). Experience with SQL database systems such as MySQL, PostgreSQL, etc and NoSQL systems such as MongoDB, DynamoDB, HBase, etc\n* Learning - This role will require an individual with an appetite for (quickly) learning and applying different technologies, programming languages, and techniques needed to build the required solutions\n* Communication - Ability to communicate effectively with cross-functional teams, engineers, partners and end-users. Excellent written and verbal communication skills to technical and non-technical audiences. Excellent technical writing and documentation skills\n* Teamwork - Effective team player who understands the responsibility every individual brings to the table and how to encourage and drive results from each team member\n* High Performance - Ability to go outside your comfort zone to learn new technologies and methodologies to ensure successful and timely completion of product development\n* Results-oriented - Highly organized and detail-oriented, self-driven and able to adapt to learning and implementing new technologies, and creative in solving issues as they arise\n* Cultural alignment - An advocate for social progress; interest in emerging technologies and their ability to advance societal outcomes\n* Work Eligibility - Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time\n\n\n\nWhat we offer:\n* Compensation – Anticipated starting salary range of $128,000 - $156,000, with flexibility based on experience\n* Health Coverage – Foundation-paid medical, dental, and vision insurance for employees, spouses/domestic partners, and dependents. HSA/FSA plans, life insurance, and short- and long-term disability coverage\n* Long-term Rewards – 401(k) retirement plan with generous matching up to 6% of annual pay, plus an additional discretionary match at the end of year\n* Flexible PTO – Unlimited paid time off, which allows team members to take the time they need for vacation or illness so they can return to work able to contribute fully to our mission. The foundation recognizes 11 paid national holidays per year and may also announce closure for local, regional, or state holidays\n* Remote Work Environment - Ability to work 100% remotely, but not alone - with mature, socially minded professionals\n* Wellness Support – Access to Ginger, Gympass, Headspace, and SmartSpend Plus, along with financial well-being providers\n* Parental Leave – Up to 6 months of gender-neutral paid leave for parents and caregivers when they have a new addition to their families\n* Learning Reimbursements – Foundation policy encouraging employees to explore development opportunities such as peer learning, internal trainings, and external activities; savings on student loans (available via insurance provider)\n* Philanthropic Gift Matching – Opportunity for team members to support vulnerable communities, reflecting PJMF’s commitment to social impact\n\n\n\n\n\nThe attributes listed above represent our current thinking for the role. You can be a great candidate even if you don't fit everything we've described below. You can also have important skills we haven't thought of. If that's you - even if you’re on the fence - we encourage you to apply and tell us about yourself!\n\n\nCore to PJMF’s mission is inclusion, diversity, equity, and accessibility (IDEA). We apply the IDEA framework to all we do, from growing a diverse team within the foundation to coalition building with organizations and people around the world, and to democratizing the development and rewards of AI and data. We have built an environment that celebrates the differences in backgrounds and experiences. PJMF invests in activities that lead to greater inclusion, diversity, equity, and accessibility in how AI and data are conceptualized, developed, applied, and deployed. We are applying the same framework as our team grows and expands. We encourage and invite members of traditionally underrepresented communities to apply. \n\n\nThe Patrick J. McGovern Foundation provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.\n\n\nIt is important to us that our hiring process is accessible to everyone. If you require accommodations to participate in the interview process, please let us know when you apply. \n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to JavaScript, Cloud, NoSQL, Engineer and Backend jobs that are similar:\n\n $70,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUnited States

\nAt Tecton, we are on a mission to bring Machine Learning to every customer and product interaction on the planet. We build an enterprise-grade, world-class Feature Platform – the infrastructure that powers real-time ML applications and systems in production.\n\n\nTecton’s founders developed the first Feature Store when they created Uber’s Michelangelo ML platform, and we’re now bringing those same capabilities to every organization in the world.\n\n\nTecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.\n\n\nAs an Engineering Manager on our Compute team, you will play a critical role in shaping the team’s strategic direction and implementation of Tecton’s core compute foundation, which includes our native compute engine, Rift, and deep integrations with platforms such as Spark and Snowflake. Think of it as the “beating heart” of Tecton. Your leadership and technical expertise will directly influence Tecton’s storage and compute architecture. This role is a unique opportunity that combines customer-obsessed product focus with platform and data engineering innovation. You’ll partner with Product, Design, and Marketing, and Field teams to define the roadmap that helps companies ranging from Fortune 100s to startups accelerate their path to real-time AI.\n\n\n\nResponsibilities\n* Building and scaling Tecton’s Rift compute engine across multiple cloud providers\n* Deep Integrations with Spark (e.g. Databricks, EMR, Dataproc) and Data Warehouses (e.g. Snowflake, BigQuery and Redshift)\n* Performant training data computation pipelines from offline stores\n* Orchestration platform responsible for reliably and performantly managing compute workloads\n* Data engineering for key-value stores and data lakes\n\n\n\nKey Responsibilities\n* Leading, and coaching a talented engineering team ranging from junior to staff-level engineers\n* Building product and infrastructure for Tecton’s Compute platform and enabling customer adoption of new features\n* Recruiting top-tier engineering talent, building an organized and sustainable team, and partnering with internal and external stakeholders\n* Partnering with cross-functional teams to build product vision and strategy\n* Efficiently executing on an aggressive product roadmap by building new features and managing technical debt levels\n\n\n\nQualifications\n* 7+ years of software engineering experience for high-scale products or infrastructure\n* 2+ years of people management experience for a group of engineers\n* Experience working in large Python, Java, Kotlin, or Go codebases and running cloud-native production systems using Kubernetes, AWS, and Docker\n* Product and user-first mindset with attention to UX detail\n* Experience with distributed systems, SQL, and NoSQL databases\n* Bias to action and passion for delivering high-quality solutions\n* Strong communication and ability to write detailed technical specifications\n* Excitement about coaching and mentorship of junior engineers\n\n\n\n\n$200,000 - $273,000 a yearThe estimated US base salary range for this position is $200,000 - $273,000 annually for employees based within California & New York. In addition to base salary, we offer competitive equity & comprehensive benefits such as medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws. Individual compensation packages are based on multiple factors such as location, level, role scope, and complexity, as well as additional job-related factors such as skills, experience, and expertise.\n\nTecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics.  If you would like to request any accommodations from the application through to the interview, please contact us at [email protected]. \n\n\nThis employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud and NoSQL jobs that are similar:\n\n $52,500 — $82,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nAt Tecton, we are on a mission to bring Machine Learning to every customer and product interaction on the planet. We build an enterprise-grade, world-class Feature Platform – the infrastructure that powers real-time ML applications and systems in production.\n\n\nTecton’s founders developed the first Feature Store when they created Uber’s Michelangelo ML platform, and we’re now bringing those same capabilities to every organization in the world.\n\n\nTecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.\n\n\nAs a staff-level engineer building Tecton platform team, you’ll play a critical role in architecting, designing, and scaling our Tecton’s platform-level building blocks for building the next generation of accessible ML infrastructure. \n\n\n\n\n\nAs part of this team, you will be working in one or more of the following areas to build the next generation of Tecton infrastructure:\n* Architecting APIs and abstractions over multiple cloud, storage, and compute platforms\n* Building platforms that enable modular development and testing\n* Transitioning Tecton’s control plane toward a multi-tenant architecture\n* Explainability and debugging as a first-class property of every layer of the stack\n* Fleet management and optimizations for hundreds (and eventually thousands) of Tecton deployments\n* Partnering with Security on org-wide data privacy and security measures\n\n\n\nResponsibilities\n* Own and lead large technical domains starting from the problem definition and technical requirements along with implementation and maintenance\n* Lead multi-engineer projects of strategic importance to Tecton spanning cross-functional teams including design, product management, and other engineering teams\n* Drive efforts to improve engineering practices, tooling, and processes along with mentorship for senior engineers\n* Develop a deep understanding of the fundamental problems our customers face in building ML systems\n* Be a generalist as needed. We’re a small, but growing engineering team and each engineer needs to be versatile\n* Reinforce Tecton’s “Fast, but Focused” core value\n\n\n\nQualifications and Values\n* 7+ years of experience in building product software systems\n* 2+ years of technical leadership experience for a group of engineers\n* Experience working in large Python, Java, Kotlin, or Go codebases and running cloud-native production systems using Kubernetes, AWS, and Docker\n* Experience with distributed systems, SQL, and NoSQL databases\n* Bias to action and passion for delivering high-quality solutions\n* Strong communication and ability to write detailed technical specifications\n* Excitement about coaching and mentorship of junior engineers\n* BSc, MS, or PhD in Computer Science or related fields\n\n\n\n\n$216,000 - $258,000 a yearThe estimated US base salary range for this position is $216,000 - $258,000 annually for employees based within California & New York. In addition to base salary, we offer competitive equity & comprehensive benefits such as medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws. Individual compensation packages are based on multiple factors such as location, level, role scope, and complexity, as well as additional job-related factors such as skills, experience, and expertise.\n\nTecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics.  If you would like to request any accommodations from the application through to the interview, please contact us at [email protected]. \n\n\nThis employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to NoSQL, Senior and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n