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Salary
≈ $17k – $40k per year (Estimated)
Location
Hybrid (Bengaluru, India)
Seniority
Senior · 7+ years exp

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 16, 2026. Sage scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Sage is a British software company headquartered in Newcastle upon Tyne that makes accounting, financial management, payroll and HR software for small and medium-sized businesses, including Sage Intacct, Sage X3 and Sage Accounting. Founded in 1981 and listed on the London Stock Exchange as The Sage Group plc, it serves customers through offices across the UK, Europe, North America, Africa and Asia-Pacific, with large teams in Atlanta, Paris, Frankfurt, Toronto and Barcelona. It hires sales development and account managers, partner enablement and product support specialists, marketing, SEO and data analysts, and finance and compensation staff.
Backed by Pear VC
About the Role

As a Senior Backend Engineer at Sage, you will be responsible for building, enhancing and maintaining a high-quality SaaS solution that exceeds customer and business partner expectations. You will proactively share your own knowledge for specific technical solutions and business processes in your area of responsibility. We are looking for someone with 7+ years of professional experience in backend engineering. Proficiency in English, written and verbal, is required.

We value humility and collaboration. We are looking for people who can work as part of a team, not in silos. We expect engineers to take ownership beyond just writing code, including tests, documentation, and long-term code quality.

Location: Bangalore, India. This is a hybrid role, three days per week in the office.

Required Skills

Core languages & runtime

  • Strong TypeScript (strict mode) and Node.js (v24+) for production services.
  • Solid computer-science fundamentals: data structures, algorithms, concurrency, async I/O.

Backend frameworks & APIs

  • REST API design with Fastify (or Express/NestJS/Koa with willingness to learn Fastify).
  • JSON Schema contract design and validation (AJV or equivalent); OpenAPI/Swagger.
  • Understanding of API versioning, idempotency, pagination, and error-handling patterns.

Data & persistence

  • Relational databases MySQL and/or PostgreSQL: schema design, indexing, query tuning.
  • Comfort with JSON-document modeling in a relational store and query compilation to SQL.
  • SQL query builders (Knex or similar); parameterized queries and SQL-injection prevention.
  • Caching with Redis.

Distributed systems & messaging

  • Event-driven / message-queue systems (AWS SQS, or Kafka/RabbitMQ/SNS equivalents): producer/consumer patterns, dead-letter queues, retries/backoff, and idempotency.
  • Designing for at-least-once delivery and eventual consistency.

Cloud & platform

  • AWS services (SQS, EFS, S3, IAM, ECR) in a production context.
  • Containerization with Docker; familiarity with Kubernetes deployments.

Security

  • OAuth2 / OIDC / JWT validation (RS256, JWKS), token propagation, and multi-issuer auth.
  • Secure coding against the OWASP Top 10; multi-tenant isolation and row-level security.

Testing & quality

  • Unit, integration, and contract testing (Vitest/Jest or equivalent); test-driven mindset.
  • Linters/formatters (Biome, ESLint/Prettier) and CI discipline.

Tooling & workflow

  • Git and pull-request workflows; monorepo experience (Nx) a plus.
  • CI/CD (GitHub Actions or similar).

AI Tooling

  • Productive use of AI-assisted developer tooling (e.g. GitHub Copilot, Claude Code, Cursor) to accelerate day-to-day backend development.
  • Integrating LLM / generative-AI capabilities into backend services (e.g. OpenAI, Anthropic, AWS Bedrock) via SDKs, streaming responses, and prompt/response validation.
  • Familiarity with retrieval-augmented generation (RAG): embeddings, vector stores/search, and context assembly pipelines.

Nice to Have

  • MongoDB-like query languages or building a query compiler/DSL.
  • KEDA / autoscaling on queue depth; Istio service mesh; Argo Rollouts canary deploys.
  • GitOps (ArgoCD) and schema-driven DB migrations (Atlas or Liquibase/Flyway).
  • Observability stacks: New Relic APM, Sumo Logic, Prometheus, Pino logging.
  • Domain knowledge in finance, ERP, FP&A, or accounting systems.
  • Experience building AI/ML-powered backend features such as forecasting, anomaly detection, or natural-language querying over financial data.

Responsibilities

Responsibilities

  • Possess and apply a broad knowledge of principles, practices, and procedures of software development to the completion of difficult assignments.
  • Successfully develop and maintain high-quality software (requirements, design, code, documentation, etc.)
  • Work with product managers early on to shape product definition so that it can be built in flexible, extensible, and robust way
  • Keep up to date with relevant technology areas and drive technical innovation.
  • Automate tasks through appropriate tools and scripting
  • Evaluates progress and results within own area, escalating recommendations for process changes to technical leadership.
  • Partner effectively with all team members to deliver against commitments
  • Deliver solid technical expertise within the team, contributing to a culture of innovation and execution
  • Work cross-functionally with various Sage teams: product management, QA/XD, various product lines, or business units to deliver assigned work
  • Mentoring and coaching junior members of the development team.
  • Commitment to team success and positive team dynamics
  • Passion for growing and applying technical skills in service to customers
  • Extensive experience with Agile Development, SCRUM, and/or Extreme Programming methodologies
  • Maintain relevant documentation to describe logic, coding/configuration, testing and changes where applicable.
  • Ensure all tasks are completed to the required quality standards.
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