--- title: 'Software Developer at ShyftLabs' canonical: 'https://feeny.ai/job/software-developer-shyftlabs-noida-8rgf0nc7yfma' type: 'job' last_seen: '2026-09-08' --- # Software Developer at ShyftLabs - **Company:** ShyftLabs - **Location:** Noida, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-08-21 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.lever.co/shyftlabs/4547a228-9cd7-4af6-9588-5cd4c8ae1612 ## Job description ## Role Overview Simfluent's platform automates the full recruitment lifecycle across five AI agents, a 22-stage candidate pipeline, and integrations with Lever ATS, SendGrid, and multiple job boards. As a Software Developer on the Platform team, you will build and own features across the backend API, async worker infrastructure, and third-party integrations that keep the platform running for enterprise tenants. Four years of experience means you have shipped real features in production, you understand why tests matter, and you can design a data model before you open your code editor. You work independently on well-scoped problems, raise quality concerns early, and know when to ask for help before a decision becomes expensive to reverse. This is a backend-first role with a strong Python focus. ## Responsibilities - API Layer: Build and maintain REST API endpoints using FastAPI — recruiter pipeline actions, candidate management, job configuration, and third-party integration webhooks. - Data Modelling: Design and implement PostgreSQL data models — schema design, indexing, query optimisation via EXPLAIN ANALYZE, and Alembic migration management for new features. - Multi-Tenancy: Build and maintain multi-tenant data access patterns — every query correctly scoped by tenant_id, no cross-tenant data leakage, new features inherit the isolation model from day one. - Async Workers: Implement async worker tasks using AWS SQS and Celery — task design, retry logic, idempotency, and dead-letter queue handling for pipeline automation flows. - Integrations: Build and extend third-party integrations — Lever ATS webhooks, SendGrid outbound and inbound parse, IMAP polling for the job-watch inbox, and AWS S3 for document storage. - Testing: Write comprehensive test coverage — unit tests, integration tests, and async/webhook handler tests as a standard part of your workflow. - Code Reviews: Participate in architecture discussions, code reviews, and technical documentation — raising quality concerns clearly and constructively. - On-call: Contribute to on-call rotation — diagnose and resolve production incidents, write runbooks, and conduct post-mortems. ## Requirements - Python - FastAPI - asyncio - SQLAlchemy - Pydantic - PostgreSQL - Database Schema Design - Database Indexing - EXPLAIN ANALYZE - Alembic - Multi-tenant Architecture - AWS SQS - Celery - Message Queue Systems - REST API Integration - OAuth - Webhooks - pytest - Async Testing Patterns - Systems Design ## Preferred Skills - React - pgvector - Vector Databases - AWS Bedrock - LLM Integration - Multi-tenant SaaS Architecture - New Skil ## Qualifications - 4 years of Python backend engineering experience in production environments - Production-grade service development experience (not scripts) - Experience with async programming using asyncio - Strong database design and optimization skills - Experience with async task systems (SQS, Celery, or RabbitMQ) - Experience building third-party API integrations - Strong testing discipline with comprehensive test coverage - Systems thinking approach to software design - Understanding of failure modes, edge cases, and observability Simfluent is an equal opportunity employer. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. ## About ShyftLabs ## Company Overview - **One-liner**: ShyftLabs is a data and AI consulting firm that builds enterprise-grade intelligent systems to help Fortune 500 companies, retailers, health organizations, and public agencies turn data into measurable business outcomes. - **Entity Type**: Private (Bootstrapped) - **Headquarters**: Toronto, Ontario, Canada - **Founded**: 2018 - **Founders**: Brian Würtz Leth (Co-Founder, COO) – additional co-founders are not publicly listed. ## Core Business - **Primary industries**: Data & AI consulting, digital transformation, enterprise technology services. - **Target customers**: B2B, large enterprises (Fortune 500), government agencies, healthcare organizations. - **Mission or purpose statement**: “Move from pain points to measurable outcomes, fast.” They aim to make data actionable and power real-time decisions with privacy-first, responsible AI systems. ## Products & Services - **Enterprise AI & Data Consulting**: Custom AI solutions, machine learning models, and data infrastructure designed for trusted enterprise deployment. - **Digital Transformation Services**: Modernization of legacy systems, cloud migration, and scalable AI-ready platforms. - **Data Infrastructure & Governance**: Building governed data pipelines, privacy-first architecture, and secure integrations. - **Responsible AI Controls**: Governance frameworks, bias detection, and compliance-focused AI deployment. ## Market Standing - **Valuation/Market Cap**: Not disclosed (privately held). - **Key Metric**: Claims to have unlocked over $2B in client value (as stated on their website) and $500M+ in measurable value for clients. - **Notable Investors/Partners**: No public investors listed. Partners include major retailers, health organizations, and public agencies (specific names not disclosed). - **Growth Signals**: - Headcount: ~177 employees (LinkedIn) with +1.4% monthly growth; website states 250+ experts. - Active job postings: 30+ (Lever) with 22 roles posted in the last 90 days. - Offices in Toronto, New York, Dubai, and Noida (India), with distributed teams across 6 countries. - 54% of employees in technical roles, indicating strong engineering focus. ## Competitive Advantages - **Privacy-first architecture** and **governed data infrastructure** tailored for enterprise compliance. - **Multi-geography delivery** (North America, Europe, Middle East, India) enabling 24/7 support and diverse talent pools. - **Track record with Fortune 500 clients** and proven ability to deliver measurable ROI (over $500M client value). - **Full-stack AI expertise** spanning data engineering, machine learning, and responsible AI governance. ## Strategic Focus - Scaling AI systems that power real-time decisions across critical industries (retail, healthcare, government). - Modernizing legacy infrastructure for enterprises moving to AI-ready platforms. - Expanding their presence in commerce media (e.g., Carter partnership) and deepening client relationships through account management. - Growth in autonomous AI agents and privacy-first solutions. ## Why Work Here - **Culture & Ratings**: 4.2/5 on Glassdoor (60 reviews) with Work-Life Balance 4.3, Compensation 4.2, Culture 4.2. - **Benefits**: 100% coverage for health, dental, and vision insurance for employees and dependents from day one. - **Work Environment**: Hybrid policy in Toronto (minimum 4 in-office days per week); other offices vary. Fast-paced, product-focused, and collaborative. - **Growth Opportunities**: Continuous learning, influence over strategic direction, and opportunities to build AI systems used by Fortune 500 companies. - **Diversity & Inclusion**: Equal opportunity employer committed to creating a safe, diverse, and inclusive environment. ## Sources 1. [shyftlabs.io](https://shyftlabs.io/about-us) 2. [LinkedIn](https://linkedin.com/company/shyftlabsio) 3. [Indeed](https://ca.indeed.com/cmp/Shyftlabs/jobs) 4. [GetClera](https://www.getclera.com/companies/shyftlabsio) 5. 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