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Outreach

Staff Software Engineer – AI

Outreach

Staff AI Test Engineer responsible for quality in GenAI platform at Outreach. Designing evaluation frameworks and collaborating with data science and engineering teams to establish quality standards.

Posted 7/6/2026full-timeRemote • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and operating large-scale distributed systems with a focus on cloud-native architecture, data engineering, and integration of machine learning capabilities. Proven ability to lead technical teams, ensure data quality, and drive continuous improvement in engineering standards.

Highest-signal resume keywords
Cloud-Native ArchitectureBackend Programming (Go, Python)Data Engineering and ETLDistributed Data Platforms (Kafka, RabbitMQ, NoSQL)API Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Distributed Systems DesignData Pipeline DevelopmentData ModelingSchema DesignMachine Learning IntegrationPerformance OptimizationCode Quality StandardsObservability and TestingMicroservices ArchitectureTechnical Leadership
Soft Skills
Excellent CommunicationCross-Team CollaborationMentoringGrowth Mindset
Industry Keywords
Data QualityOperational ExcellenceSecurity and ComplianceReal-Time Data ProcessingAutomation

Tech Stack

Tools & technologies
CloudDistributed SystemsETLGoJavaKafkaMicroservicesNoSQLPythonRabbitMQRuby

About the role

Key responsibilities & impact
  • Leading the architecture, design, and delivery of distributed cloud-native applications capable of high concurrency and demanding real-time data needs.
  • Designing and building production-grade data pipelines and ETL/ELT workflows — modeling data for both transactional (OLTP) and analytical (OLAP) use, and orchestrating them with modern workflow tooling.
  • Integrating ML and GenAI capabilities into product features — from model serving and evaluation to LLM-powered enrichment, retrieval (RAG), and intelligent automation within our services.
  • Championing data quality and correctness — building validation, observability, and testing into every step of the pipeline so downstream analytics and AI features can be trusted.
  • Collaborating with data science, product, and engineering partners to ship intelligent, complex product features.
  • Setting and promoting engineering standards for code quality, security, and operational excellence; nurturing automation and continuous improvement.
  • Diagnosing and eliminating performance bottlenecks and proactively addressing reliability risks.
  • Mentoring, reviewing code/architectures, and fostering a culture of rapid learning.
  • Decomposing legacy systems into SOA/microservices, resolving tech debt, and evolving the architecture for scale.
  • Taking end-to-end ownership of major initiatives from planning through impact.

Requirements

What you’ll need
  • Demonstrated excellence designing and operating large-scale distributed systems with cloud service-oriented architecture.
  • Proven leadership in fast-paced environments, setting standards, and inspiring technical teams to exceed delivery goals.
  • Mastery in backend programming (Go required; Python strongly valued for data/AI work; Java/Ruby a plus) and hands-on with distributed data platforms (Kafka, RabbitMQ, NoSQL).
  • Hands-on data engineering: building and operating data pipelines/ETL, data modeling and schema design, and a rigorous focus on data quality and correctness.
  • Experience building APIs and analytics/data infrastructure, and deploying ML algorithms in production.
  • Excellent communication and cross-team collaboration skills.
  • Commitment to security, compliance, and robust, scalable design.
  • Growth mindset — always learning, always elevating the technical bar for the team.

Benefits

Comp & perks
  • Highly competitive salary
  • 25 days annual vacation time + sick time and casual leave
  • Group medical policy coverage available to employees and up to 5 eligible family members
  • OPD benefit covered up to INR 10,000
  • Life insurance and personal accident insurance at 3x annual CTC
  • 26 weeks of maternity leave pay, and 15 days of paternity leave pay
  • Opportunity to be part of company success via the RSU program
  • Diversity and inclusion programs that promote employee resource groups like OWN+ (Outreach Women's Network), Adelante (Latinx community), OBX (Outreach Black Connection), Mosaic (AAPI community), Pride (LGBTQIA+), Gender+, Disability Community, and Veterans/Military
  • Employee referral bonuses to encourage the addition of great new people to the team
  • Fun company and team outings because we play just as hard as we work