This is a remote position. What You’ll Work On - High-scale distributed systems handling large data volumes (TB-scale pipelines) - Reliability and uptime across microservices-based architectures - Performance optimization and system resilience under real-world load - Backend systems that directly impact user experience and product growth Key Responsibilities - Maintain and improve large-scale data pipelines and backend systems - Ensure high availability and performance across multiple microservices - Build tools to automate deployment, monitoring, and incident response - Take ownership of production systems, not just development tasks - Work closely with founders / global teams to solve critical engineering problems - Contribute to backend features with a strong focus on scalability and reliability Requirements Required Experience - 8+ years in software engineering - 5+ years in backend engineering or SRE roles - Strong experience in distributed systems and microservices - Proficiency in at least two: - C# (.NET Core) - Python - Node.js with TypeScript - Experience with AWS (Kinesis, DynamoDB preferred) - Strong debugging and system-level thinking Ideal Candidate Traits - Thinks in terms of systems, not just code - Takes end-to-end ownership of reliability and performance - Comfortable working in high-ambiguity startup environments - Communicates clearly with global, non-India stakeholders - Focused on outcomes, not activity Benefits - Flexible Work with Accountability Work remotely with clear deliverables, not micromanagement - Generous Time Off Paid leave, sick days, and mental wellness breaks - Health Insurance Coverage Comprehensive medical insurance for you and your family - Home Office Setup Allowance Build a workspace that supports deep work - Learning & Growth Budget Access to global courses, certifications, and conferences - High-Impact Work Direct exposure to YC founders and global product environments - Performance-Linked Upside Bonus structures tied to pod performance and outcomes

• Conduct comprehensive research and analysis on the edge data management market, including databases, data storage, and emerging data architectures at the edge, cloud and AI environment. • Identify and analyze the key drivers necessitating the adoption of data management in distributed enterprises and their impact on real-time decision-making. • Author high-quality, thought-provoking research reports, presentations, and other deliverables on key topics such as data management trends, use cases, challenges, and vendor landscapes. • Provide expert advisory services to Gartner clients through inquiries, meetings, and presentations, addressing their specific questions and providing strategic guidance on their edge data initiatives. • Develop a deep understanding of the similarities and differences between cloud-based and edge-based data management solutions and the factors driving their adoption. • Strong foundation in data architecture and cloud-native data platforms, with working knowledge of modern data engineering toolchains across edge-to-cloud deployments. • Assess and advise on deploying and operating AI workloads across distributed sites, including orchestration, remote updates, and monitoring for reliability and performance. • Assess and advise on the long-term suitability, scalability, and security of proposed hybrid data architectures, including integration and orchestration patterns across on-prem and cloud platforms. • Experience evaluating cloud data platforms for edge-to-cloud analytics, governance, and real-time data pipelines, including open table formats. • Investigate the challenges organizations face in managing distributed data architectures in edge environments, including governance and security concerns, and provide guidance on addressing these challenges. • Analyze the competitive landscape of vendors providing edge data management solutions. • Contribute to the development of forecasts and market sizing for the edge data market segments.

Title: Senior Backend - Full Stack Software Engineer Location: Boston, Massachusetts, United States Software Engineering Hybrid Remote Job Description: WHO ARE YOU? You bring strong backend and full stack technical expertise to your work as a Senior Software Engineer. You thrive in a collaborative, fast‑moving development environment, and are motivated to ensure your work has a positive impact. WHO ARE WE? We are passionate, innovative, lifelong learners, and creative thinkers working to develop culturally authentic language learning products for K-12 schools and universities. WHAT IS THIS ROLE ABOUT? As a Senior Software Engineer here, you will join a Development team that is focused, professional and consistently driving innovation that shapes our industry‑leading digital language education products. OUR TECHNOLOGY STACK - Languages/Frameworks: Ruby/Rails, JS, Vue - Persistence: MySQL, Postgres, Redis, ElasticSearch - Hosting: AWS  IN THIS ROLE YOU WILL: - Participate in all aspects of the Software Development Lifecycle (SDLC) - Perform tests to optimize performance - Write clean code to develop functioning web applications - Work effectively and collaborate with different team members to deliver on-time and efficient projects YOU MUST HAVE (MINIMUM REQUIRED SKILLS & EXPERIENCE) - Bachelor’s Degree - 7+ years of Senior level Software Engineering experience with Ruby, Ruby on Rails or Python + JavaScript - Demonstrated software architectural design experience, including data persistence and API design - Strong understanding of networking and web browser protocols - Advanced working knowledge of *nix systems, and comfort working at terminal command line. - Advanced SQL and DB schema design knowledge - Advanced working knowledge of git & GitHub - Experience collaborating with other departments/teams - Strong communication, listening and interpersonal skills to be able to actively listen to needs and respond to audience appropriately        IDEAL IF YOU HAVE or ARE (PREFERRED SKILLS & EXPERIENCE) - Experience with Sagemaker, AWS Poly, Azure Speech Service - Experience with SQL, Postgres, Redis, Elasticsearch - Experience building and deploying high-capacity applications in cloud environments, especially AWS  - A strong understanding of how to architect solutions for scalability and performance - Experience working with LLMs and AI tooling for developers - Experience with Ruby highly preferred - Experience in ed-tech, education, language-learning or a similar industry - Familiarity with Web Content Accessibility Guidelines (WCAG) and best practices for meeting 2.1 AA compliance LOCATION: Boston-Hybrid or Remote - Eastern US Time Zone Position requires current residence within the United States of America and within the eastern time zone. Ideal candidates will be located within close proximity to our Boston office location and be willing to work a Tuesday and Thursday (2-day minimum) Hybrid schedule. Relocation assistance is not available. SALARY: $140k-$150k annual base salary range This position is salaried and is eligible for an annual incentive based on employee and organizational performance. We are passionate, innovative, lifelong learners, and creative thinkers working to develop culturally authentic language learning products for K-12 schools and universities. Our benefits package includes life/health/dental/vision insurance, 401(k), educational assistance, commuter pass subsidies, generous employee referral bonuses, PTO and paid holidays. Vista Higher Learning is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, age, color, religion, sexual orientation, gender identity, national origin, physical or mental disability, and/or protected veteran status or other characteristics protected by applicable law.

• Build and maintain backend services and APIs in Java • Work across multiple microservices (3–4) simultaneously • Collaborate closely with Product Owners on technical direction • Contribute to cloud-native architecture on AWS (90%) + Azure (10%) • Deploy and operate services using Kubernetes and Docker (must-have) • Contribute to Python-based services when needed • Work with analytics and data insights to support decisions • Follow SDLC best practices: testing, code reviews, documentation • Collaborate with DevOps on CI/CD, deployments, scaling