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Software Development Engineer II - Analytics

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Saas Labs logo

Software Development Engineer II - Analytics

Saas Labs

Location

Bengaluru, Karnataka, India • Noida, Uttar Pradesh, India

Experience

Mid

Posted

Jul 22, 2026

Apply by

August 21, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Office

Sign in to apply on web or download the app for more options.

Job Description

Why this role exists Every call, every agent, every AI interaction on JustCall generates signals. Sales managers want to know if their team is performing. Support leads want resolution rates and CSAT. Business owners want to connect conversations to revenue. We have the data. We have AI. What we don't have yet is the system that ties it all together and puts it in front of the people who need it. That's what this role builds. We're building analytics as a first-class product - the pipelines, data models, and AI-powered insights layer that give businesses a real window into how their teams perform and their conversations convert. What you'll actually do - Design and build backend systems powering analytics - dashboards, aggregation pipelines, reporting APIs, and data delivery at scale - Own data architecture decisions: schema design for OLAP workloads, query optimization, partitioning strategies, and indexing across large multi-tenant datasets - Drive scalability work - horizontal scaling, async pipelines, caching layers, and handling high-volume event ingestion without degradation - Wire AI into the analytics layer - LLM-powered summaries, anomaly detection, natural language querying on structured data - you're the engineer making it work in production, not a researcher experimenting in a notebook - Instrument and own observability for the analytics layer - latency tracking, pipeline health, data freshness SLAs - Experience working in cross-functional teams, including product managers, engineers, and designers. Ability to build relationships and influence stakeholders at all levels of the organization. - Contribute to architectural discussions, and raising the engineering bar across the team What we're looking for - Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience - 3+ years of professional software engineering experience in a real product environment - Strong backend fundamentals: you're comfortable working across backend, and data layers - Strong experience in NodeJS, SQL, ClickHouse - write clean backend services, model analytical workloads well, and can read a query plan to find where time is lost - Good knowledge of relational and non relational databases along with their use cases. - Excellent debugging and technical investigation skills - Ability to move fast and iterate in ambiguous, greenfield problem spaces: you take ownership and focus on delivering value to users - A data-driven mindset and genuine curiosity about how people use analytics tools - A desire to be on the forefront of leveraging AI to drive product improvement at thousands of companies Edges that help - Familiarity with analytics and observability platforms - Interest in information retrieval, anomaly detection and statistical analysis - Experience building with LLMs, AI agents, or tool-use frameworks How we work - Outcomes over output. We measure product impact by retention curves, revenue influence, and customer trust - not features shipped. - High ownership from day one - you'll shape the product org, not inherit a finished one. - Fast cycles, real ambiguity, and the expectation that you bring a sharp point of view and move quickly on it. - Competitive pay tied to the product vision you set and the impact you drive. The bigger picture JustCall is SaaS Labs' flagship product - used by 6,000+ businesses across 70+ countries to run their customer conversations. We're backed by Peak XV and Base10 Partners, have crossed $40M ARR, and are building toward $100M with the team, the product, and the infrastructure to get there. If this is the role you've been waiting to find - let's talk. SaaS Labs takes pride in being an equal opportunity employer. We believe diverse teams build better products, which is why we're committed to making hiring or any employment decision regardless of race, colour, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity, sexual orientation or any other characteristic.

Key Responsibilities

  • Design and build backend systems powering analytics dashboards, aggregation pipelines, and reporting APIs.
  • Own data architecture decisions including schema design for OLAP workloads and query optimization.
  • Drive scalability work such as horizontal scaling, async pipelines, and caching layers.
  • Wire AI into the analytics layer including LLM-powered summaries and anomaly detection.
  • Instrument and own observability for the analytics layer including latency tracking and pipeline health.
  • Collaborate with cross-functional teams including product managers, engineers, and designers.
  • Contribute to architectural discussions and raise the engineering bar across the team.

Requirements

  • Bachelor's degree in Computer Science
  • Mathematics
  • a related field
  • or equivalent practical experience

Skills Required

NodeJSSQLClickHouseRelational databasesNon-relational databasesBackend developmentData architectureQuery optimizationPartitioning strategiesIndexingObservabilityLLMsAI integrationDebuggingTechnical investigationOwnershipCross-functional collaborationStakeholder influenceData-driven mindsetCuriosityAdaptabilityAnalytics platformsObservability platformsInformation retrievalAnomaly detectionStatistical analysisAI agentsTool-use frameworks

Benefits

  • Competitive pay
  • Equal opportunity employer

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Job Overview

Salary

—

Job Type

Full-time

Experience

Mid

Location

Bengaluru, Karnataka, India • Noida, Uttar Pradesh, India

Application Deadline

August 21, 2026

Total Applicants

0

About Saas Labs

Saas Labs logo

Saas Labs is a leading company in the Technology sector, known for innovation and employee-centric culture.

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