Formerly Niantic, Scopely's Security Team seeks a Senior Security Engineer to improve the security posture of our software development lifecycle, applications, and build infrastructure.

Niantic, known for global hits like Pokémon GO, Monster Hunter Now, and Pikmin Bloom is now part of Scopely, home to games like Monopoly GO!, Stumble Guys, and Star Trek Fleet Command. Together, we engage billions of players worldwide, and we need your expertise to keep them safe!

Do you want to help secure one of the most widely used gaming platforms on the planet? We seek creative and dedicated engineers with excellent technical judgment, strong interpersonal skills, and an eagerness to embrace new technologies.

Responsibilities 

• Perform security reviews and audits of platform and application software throughout design and launch.
• Provide guidance and expertise to product and operations teams across Scopely.
• Build automation and tooling that amplify the Security Team’s impact and improve the developer experience.
• Drive initiatives in security architecture, application scanning, fuzzing, and other proactive defenses.
• Contribute to hardening efforts across in-house libraries, CI/CD systems, and cloud/container environments.
• Be responsible for third-party library reviews and manage vulnerability remediation.
• Educate engineers on secure coding practices and help standardize security across teams.
• Engage in red-team exercises and coordinate with internal teams and external pentesting partners.
• Implement and maintain agentic or AI-enabled workflows to speed-up common security tasks.

Qualifications

• 5+ years of experience in a global company with cloud-centric infrastructure (preferably GCP).
• You have in-depth experience in hardening distributed web services, cloud services and platform architectures.
• You can demonstrate strong programming skills (preferably Go or Java) and a deep understanding of common vulnerability classes and exploitation patterns across modern stacks.
• Excellent communication skills and experience collaborating across distributed teams.
• You have implemented services and applications with the help of AI tools like Claude, Codex, OpenCode or Gemini and are adept in the use of these tools. 

Plus If...

• Have participated in red-team operations or managed mitigation tracking.
• Possess deep familiarity with build systems, artifact repositories, or large-scale infrastructure.
• Have delivered privacy-focused solutions for user-facing services.
• Have experience in code quality management or security champion programs.
• Have worked in a customer-centric engineering culture and value pragmatic, scalable solutions. 
• Have implemented agentic workflows, MCPs. 
• Can demonstrate hands-on experience or research in the area of AI security and safety. 

Job Summary

The Systems Engineer plays a critical role in designing, integrating, and validating complex hardware systems across the full product lifecycle. This engineer works closely with cross functional teams including electrical engineering, firmware, mechanical design, manufacturing, software engineering and product management to ensure that system level hardware solutions meet performance, reliability, regulatory, and cost targets. The ideal candidate combines strong technical depth with systems thinking, hands-on validation skills, and excellent communication.

Key Responsibilities

Hardware Architecture & System Design

• Design IoT hardware systems (Gateways and BLE Sensors) integrating microcontrollers/SoCs, sensors, wireless modules, and power management subsystems.
• Design end-to-end systems from physical sensor measurements to processed data delivery to customer APIs
• Specify and evaluate low power components to maximize uptime under variable sunlight conditions.
• Generate schematics, PCB layouts, BOMs, and documentation in accordance with industry standards.

Power Management & Energy Optimization

• Model and optimize energy budgets to ensure year-round autonomous operation.
• Validate system performance through simulation, bench testing, and long duration field trials.

Sensor & Connectivity Integration

• Integrate a variety of sensors (environmental, motion, positioning, etc.) with proper front‑end conditioning.
• Implement and test wireless communication modules such as LoRaWAN, NBIoT, LTEM, LTE Cat 1, Bluetooth LE, or proprietary RF.

Prototyping, Testing, and Validation

• Build and iterate hardware prototypes rapidly using development kits, custom PCBs, and test equipment.
• Perform environmental, thermal, vibration, and ingress protection testing for ruggedized IoT devices.
• Conduct structured debugging across power, digital, RF, and firmware hardware interfaces.

Manufacturing & Deployment Readiness

• Support DFM, DFA and DFT practices
• Support certification processes (CE, FCC, EMC, IECex and safety compliance).
• Provide technical guidance for field deployment, maintenance tools, and diagnostics.

Key Qualifications

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Systems Engineering, or related field.
  • 5+ years of experience in hardware systems engineering or embedded hardware development.
• Strong understanding of core subsystems:
  • Power management and battery systems
  • Microcontrollers and embedded architectures
  • Analog/digital circuit fundamentals
  • Sensors (motion, environmental, pressure, light, etc.)
  • RF systems (cellular, BLE, GNSS, WiFi), antennas, and integration considerations
• Working experience with developing software to evaluate systems, e.g., python, Java or Kotlin
• Hands‑on experience with lab equipment: oscilloscopes, logic analyzers, spectrum analyzers, power measurement tools.
• Proven ability to perform system debugging across hardware, firmware, and mechanical interfaces.
• Experience creating system requirements, block diagrams, and integration test plans.
• Knowledge of EMC/EMI considerations, grounding, shielding, and layout best practices.
• Familiarity with reliability and environmental testing (HALT/HASS, vibration, thermal cycling).
• Excellent communication skills and ability to document and present technical details clearly.
• Strong analytical and problem solving skills with a systems-thinking mindset.

RDQ127R176

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics. 

The impact you will have:

• Lead and grow and engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.
• Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.
• Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Extensive experience building and maintaining distributed systems.
• Security first mindset.
• Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.
• Motivated by delivering customer value and impact.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.
•  

P-1127

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.  We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats.

We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.