[Hiring] Staff Software Engineer - AI @Outreach

Role Description

We are seeking a Staff Software Engineer who thrives on tackling complex technical and architectural challenges at scale. You will bring deep expertise in scalable, distributed systems design, lead high-performing teams through ambiguity, and accelerate product innovation in data-driven and AI-rich environments. You will steer system evolution, guarantee performance under high load, and mentor peers while shaping delivery and technical direction.

Equally important, you will raise the team’s data- and AI-engineering maturity — designing the pipelines, data models, and ML/GenAI integrations that power our next generation of intelligent features.

Your Daily Adventures Will Include:

• 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.

Qualifications

• 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.

Requirements

• Experience with the modern data stack: Spark/Delta Lake, Databricks or Snowflake, dbt, and Airflow.
• Hands-on GenAI/LLM application experience: RAG, vector databases, embeddings, prompt/context engineering, and model/output evaluation.
• MLOps exposure: feature stores, model serving, and monitoring in production.
• Experience shaping data as a product — dashboards, semantic/metrics layers, and analytics enablement for other teams.

Benefits

• 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
• 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