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.
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
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Collaborative Growth: Work closely with engineers in India and the U.S. on technically challenging, high-impact systems.
• 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)
Our hiring process is transparent and designed to assess both technical depth and team fit:
Typical Interview Process: L1 – Recruiter Screen (~30–45 min) • L2 – Technical Interview (~45 min) • L3 – System Design / Deep Dive (60 min) • L4 – Final Technical / Leadership Discussion (45 min)
Securly is an Equal Opportunity Employer committed to inclusion, fairness, and respect.
We welcome applicants from all backgrounds, identities, and experiences.
Securly is the leading provider of cloud-based student safety and device management solutions for K-12 schools. Their innovative products include Google Safe Search, Safe YouTube, Parental Controls, Safe WiFi Router, Cyberbullying and Self Harm Detecti...
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