• Design and develop scalable back-end systems and APIs that power high-impact applications used by a large, engaged user base around the clock. • Deliver production-ready code, driving forward new features and capabilities in a 24/7 sports betting environment. • Prioritize agility and scalability equally to support rapid product rollouts while ensuring systems are built to pivot and perform at scale. • Own the full software development lifecycle, from initial design through long-term maintenance, performance tuning, and reliability improvements. • Triage, investigate, and resolve production issues with urgency, contributing to a culture of continuous improvement and operational excellence. • Ensure all components are built to withstand high volume and real-time demands, optimizing for speed and efficiency. • Collaborate cross-functionally to align technical execution with product goals, mentoring peers and driving quality standards across the team.

• Design and develop web applications (back-end and front-end side) • Coordinate with the rest of the team working on different layers of the infrastructure • Commit to collaborative problem solving, sophisticated design, and product quality

Role Description Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. By bringing together zero trust security with network optimization, Netskope Borderless WAN allows customers to confidently provide secure, high-performance access to every remote user, device, site, and cloud. It also simplifies the on-boarding of traffic to the Netskope Security Cloud and NewEdge network, so customers can on-board more quickly and efficiently. The BWAN Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various analytics and OLTP environments. What you will be doing - Design and develop streaming services that will ingest millions of data points per minute. - Understand the customer and their reporting requirements, to ensure that our solutions deliver. - Make important technical decisions on behalf of the engineer team. - Evaluate open source technologies to find the best fit for our needs, and contribute to some of them to meet our unique needs and help the community. - Coordinate with other service development teams, product management and support teams to ensure scalability, supportability and availability for owned services and dependent services. Qualifications - 8+ years of hands-on experience in architecture, design or development of enterprise data solutions, applications, and integrations. - Excellent algorithms, data structure, and coding skills with Golang. - Proficiency in SQL and/or other database technologies. - Experience building products using some of the following distributed technologies: - Distributed Queues (i.e. Apache Kafka, AWS Kinesis or GCP PubSub). - Columnar or NoSQL Stores (i.e. Big Query or Clickhouse). - Relational Stores (i.e. Postgres, MySQL or Oracle). - Experience with software engineering standard methodologies (e.g. unit testing, code reviews, design document). - Excellent written and verbal communication skills. Requirements - Read/Write intensive DBs (BigTable, DynamoDB, HBase, Cassandra). - Keen on applying Data Governance principles. - Exposure to a Cloud provider (GCP, AWS, Oracle), plus Terraform. - Distributed Processing Engines (i.e. Apache Spark, Apache Flink or Apache Beam). - Experience with ADR and other product processes. - Prior experience working in a distributed (remote) team environment. Education - BS or MS in Computer Science or equivalent training/knowledge.

• Provide technical and line-management leadership to your development team. • Take responsibility for the successful delivery of projects. • Identify and resolve blockers before they become issues. • Ensure best practices in software development, DevOps, and agile methodologies are upheld within the team. • Work directly with clients, translating requirements into technical briefs. • Shape and define architectural decisions ensuring scalability, security, and maintainability. • Provide updates to client and Nearform leadership to ensure clear understanding of project status and drive good decision-making.