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Tech Stack
Tools & technologiesCloudDistributed 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Distributed Systems DesignData Pipeline DevelopmentData ModelingSchema DesignMachine Learning IntegrationPerformance OptimizationCode Quality StandardsObservability and TestingMicroservices ArchitectureTechnical Leadership
Soft Skills
Excellent CommunicationCross-Team CollaborationMentoringGrowth Mindset
