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Sr. Software Developer Engineer I

Open 59d posting dated 3 days ago

Summary

Build and lead backend services for AI-powered IT management and cybersecurity SaaS, integrating ML models and scalable cloud infrastructure.

About Kaseya

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.

Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.

At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar.

Position Summary:

  • Kaseya is seeking for a Senior Backend Engineer to design and build scalable SaaS products powered by Data, ML, and AI. You will own key product areas, build high-performance backend services and APIs, and work closely with Product, Data, ML, and Engineering teams.
  • This is a hands-on technical leadership role where you will write code, drive architecture, solve complex backend problems, mentor engineers, and deliver AI/ML-powered features from concept to production.

Required Qualification:

  • 10+ years of software engineering experience with strong backend development expertise.
  • Strong proficiency in Go, Java, Node.js/TypeScript, Rust, or similar backend technologies.
  • Strong experience building REST, GraphQL, or gRPC APIs, backend services, and integrations.
  • Experience designing scalable, distributed, and multi-tenant SaaS systems.
  • Strong understanding of data modeling, relational databases, caching, and data storage.
  • Proficiency in Python and familiarity with data/ML tools such as Pandas, PyTorch, or similar.
  • Hands-on experience integrating ML/AI/LLM capabilities into production applications.
  • Strong understanding of AWS, GCP, or Azure, containers, infrastructure, networking, and security.
  • Experience with Docker/Kubernetes, CI/CD, automated testing, observability, and production systems.
  • Strong understanding of authentication, authorization, data privacy, scalability, performance, and reliability.
  • Proven experience owning complex technical initiatives and providing technical leadership and mentorship.

Preferred Qualifications:

  • Experience building AI/ML-powered SaaS products or customer-facing AI features.
  • Experience with LLM-powered workflows, recommendations, automation, categorization, or intelligent routing.
  • Experience with Kafka/event-driven architectures and distributed systems.
  • Knowledge of MLOps, model serving, telemetry, feedback loops, and AI guardrails.
  • Experience with Terraform or Infrastructure as Code.
  • Familiarity with Prometheus, Grafana, OpenTelemetry, or similar observability tools.
  • Strong system design and architecture experience at large scale

Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to 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.

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter

  • LinkedIn Profile optional
  • Present CTC
  • Expected CTC
  • Notice Period (Immediate/ 30D/ 60D/ 90 D)
  • Which backend technology are you strongest in (Go, Java, Node.js/TypeScript, Rust, etc.)
  • Experience with any complex backend/SaaS product you have designed and built?
  • Describe a data/ML/AI-powered feature you have taken from concept to production
  • What is your experience with cloud and infrastructure?
  • How strong are you in Python and data engineering/ML concepts?
  • Years of exp in designing large‑scale distributed systems handling high traffic or global usage?
  • Once a scale of 1-10, how much would you rate yourself on CODING optional

See also