
Senior Software Developer Engineer I
Posted May 22

Posted May 22
This is a fully remote position, open to applicants in India.
• Deliver high-quality features powered by data, machine learning, and artificial intelligence from start to finish.
• Incorporate data, machine learning, and AI functionalities into actual customer workflows.
• Elevate design, reliability, performance, and engineering standards across the organization.
• Take ownership of the architecture and technical direction for essential product areas within a multi-tenant SaaS platform.
• Collaborate with product, design, and data/ML teams to convert business challenges into straightforward, robust technical solutions.
• Lead the advancement of our system architecture (APIs, services, data flows, authentication, tenancy, integrations) as the product and customer base expand.
• Develop and sustain backend services and APIs (REST, GraphQL, gRPC).
• Deliver backend functionalities end-to-end, including data schemas and business logic.
• Work alongside UX and product teams to ensure engaging and responsive product experiences.
• Collaborate with data scientists and MLOps/platform teams to integrate data, machine learning, and AI capabilities into the product.
• Design APIs, data contracts, and user experience flows that ensure ML/AI features are reliable, comprehensible, and secure for customers.
• Ensure that telemetry and feedback mechanisms are established so that data/ML teams can assess performance, iterate on models, and enhance outcomes.
• Assist in defining and implementing safeguards for AI features (fallbacks, explanations, error handling, permissions).
• Advocate for operability: monitoring, alerting, logging, and runbooks for the services you manage.
• Lead initiatives to enhance performance, scalability, and resilience of critical pathways (e.g., onboarding, reporting, AI-assisted workflows).
• Collaborate with security and compliance teams to ensure features adhere to requirements regarding authentication, authorization, data privacy, and multi-tenancy.
• Engage in and contribute to the evolution of on-call and incident response processes as a technical leader.
• Serve as a technical mentor for multiple teams, enhancing code quality, reviews, testing, and design standards.
• Direct technical design reviews and cross-team architecture discussions, particularly where product, data, and ML intersect.
• Help establish engineering standards and best practices (API design, frontend patterns, error handling, observability, testing).
• Over 10 years of experience in software engineering.
• Proven track record in delivering data, machine learning, and AI-driven SaaS products.
• Strong history of owning and launching complex, user-centric features from inception to completion in cooperation with product management and UX.
• Experience as a senior technical staff member guiding teams and maintaining critical production systems.
• Solid proficiency with at least one backend technology stack, such as Node.js/TypeScript, Java, Go, Rust, or similar.
• Expertise in designing and building APIs, services, and integrations.
• Proficiency in Python and data analysis/modeling tools (e.g., pandas, PyTorch).
• Comprehensive understanding of data modeling and storage concepts: relational databases, caching, and basic data warehousing principles.
• Familiarity with data, machine learning, and AI concepts:
• Understanding how ML models or large language models are offered as services.
• Awareness of typical failure modes, latency/throughput considerations, and protective measures.
• Experience with cloud platforms (AWS, GCP, Azure), containers, and infrastructure (networking, scaling, security).
• Strong practices regarding testing, continuous integration/deployment, code reviews, and incremental delivery.
• Kaseya is committed to providing equal employment opportunities to all employees and applicants, regardless of race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.
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