About Securly Tech Giant Scale EdTech Innovation Unmatched Student Impact Securly processes over 1 1 billion requests per day and 54 TB of data daily protecting more than 20 million students across 20 000 schools globally Since pioneering the first cloud-based web filter for K-12 in 2013 Securly has built one of the most trusted high-scale platforms for student safety wellness and engagement By turning data into meaningful actionable intelligence Securly enables schools to identify risk earlier reduce harmful incidents and strengthen student support driving measurable improvements in student safety and wellbeing at scale We are proud to be consistently recognized as a Top Place to Work named a Top 40 Most Used EdTech platform in the U S and included on the GSV 150 list as one of the most transformational growth companies in digital learning and workforce skills About the Role We are seeking a Staff Software Engineer Data Platform to help architect build and evolve a modern cloud-native data platform This role focuses on designing scalable data systems establishing technical direction and enabling high-quality data products across the organization As a senior technical leader you will define platform architecture guide engineering strategy and mentor engineers across teams You will ensure the data platform supports high-volume real-time and analytical workloads while meeting standards for reliability performance and governance Location Pune India Work Type Hybrid What You ll Accomplish in Your First 12 Months First 90 Days Build a deep understanding of Securly s data landscape including ingestion pipelines storage layers analytics workloads and search indexing systems Review existing data architecture tooling and operational patterns across batch and streaming use cases Identify gaps or improvement opportunities in data modeling performance reliability or governance First 180 Days Lead the design or evolution of one or more core data platform components e g Iceberg tables ingestion pipelines indexing search layers Deliver measurable improvements in data reliability performance scalability or cost efficiency Influence engineering standards through design reviews architectural proposals and best-practice guidance First 360 Days Establish technical direction for major areas of the data platform aligning architecture with long-term business and analytics needs Drive cross-team initiatives that improve data quality discoverability and platform reliability at scale Serve as a trusted technical leader and mentor shaping how teams build and operate data systems across Securly Core Responsibilities Technical Leadership Define and evolve the long-term architectural vision for a modern cloud-native data ecosystem Lead complex cross-functional initiatives spanning data ingestion storage processing indexing and analytics Establish best practices for data modeling schema evolution governance and data quality Platform Architecture Development Design and implement data lake and warehouse solutions using AWS S3 Apache Iceberg Parquet OpenSearch and Amazon Redshift Build scalable data pipelines supporting both batch and streaming workloads Establish reliable metadata management cataloging and discovery patterns centered on Iceberg table formats Develop and optimize search and indexing capabilities using OpenSearch Contribute core platform services enabling ingestion orchestration lineage monitoring and observability Collaboration Influence Partner with product analytics security and infrastructure teams to align platform capabilities with business needs Mentor engineers across multiple teams raising the bar for design quality and execution Lead design reviews set engineering standards and guide adoption of emerging best practices Reliability Optimization Ensure platform performance scalability and cost efficiency across storage compute and indexing layers Drive reliability initiatives including observability SLAs SLOs automated testing and operational excellence Identify and resolve system bottlenecks through data-driven analysis and architectural improvements Required Qualifications Has designed and evolved large-scale cloud-native data platforms by applying deep expertise in distributed systems and data architecture capability typically developed through 8 years of hands-on engineering experience including operating production data systems at scale Has led the design and implementation of data lake or warehouse solutions using AWS S3 Apache Iceberg Parquet OpenSearch and Amazon Redshift delivering reliable analytical and operational workloads Has built and optimized batch and streaming data pipelines supporting high-volume ingestion and downstream analytics Has delivered search and indexing capabilities using OpenSearch or similar technologies in production environments Has demonstrated strong backend engineering skills using Python Java Scala or similar languages for data platform development Has driven technical direction influenced architecture across teams and mentored engineers experience typically associated with Staff- or Principal-level engineering roles Has worked closely with cloud infrastructure security and governance teams to ensure data platforms meet performance reliability and compliance requirements Preferred Qualifications Experience with streaming systems such as Kafka or Kinesis in large-scale data environments Familiarity with orchestration platforms such as Airflow Dagster or AWS Step Functions Applied knowledge of data governance access controls and compliance frameworks Proven track record designing enterprise-grade data platforms used across multiple teams or business domains Why Securly Engineering at Scale Build data systems that support billions of daily events and analytics at global scale Mission-Driven Impact Your work directly supports products that protect millions of students worldwide Career Growth Operate at the Staff level with clear pathways to broader platform ownership and Principal-level impact Cooperative Growth Work closely with engineers in India and the U S on technically challenging high-impact systems Benefits India Hybrid Work Model 2-3 days remote weekly Comprehensive Health Insurance employee spouse children Accidental Term Life Insurance Employee Assistance Program EAP Learning Development reimbursement Paid Time Off annual casual sick leave Public Holidays 12 per year Retirement Benefits EPF gratuity Equipment WFH setup support Parental Leave per statutory norms Typical Interview Process Our hiring process is transparent and designed to assess both technical depth and team fit Typical Interview Process L1 - Recruiter Screen 30-45 min o L2 - Technical Interview 45 min o L3 - System Design Deep Dive 60 min o L4 - Final Technical Leadership Discussion 45 min Equal Opportunity Employer Securly is an Equal Opportunity Employer committed to inclusion fairness and respect We welcome applicants from all backgrounds identities and experiences