• Act as a key player in the support and evolution of applications developed in SQL Server, Visual Basic 6, and C# .NET, contributing to the creation of innovative and robust solutions. • Seek and prioritize continuous improvement of processes and engineering practices, mentoring junior developers and promoting a learning environment. • Perform a fundamental role in the architecture and development of systems, ensuring high performance and scalability in the implemented solutions. • Focus on the impact of solutions and user experience, ensuring that applications meet client needs. • Collaborate with multidisciplinary teams to design, develop, and implement efficient and high-quality solutions. • Continuously maintain and enhance existing systems, identifying opportunities for optimization and innovation.

Location: Remote (United States Only) What is Verse? Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world’s largest energy buyers, managing energy has never been more complex or more critical. Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs. The Role As a Software Engineer focused on Fleet Telemetry & Control at Verse, you will be working closely with our energy solutions partners to design, implement, and test distributed energy resource controls and telemetry software on customer hardware at sites around the world. You will be part of a dynamic, high-performance team building applications directly on bare-metal or on hardware-level virtualization platforms. As an advanced technical leader in network programming and state management development, engineering teams will look to you for best standards and practices for interfacing with on-premises grid assets using solutions you will build and maintain. Key Responsibilities - Foster a culture and mindset of well-designed systems, test-driven software, and transparent communication with a high caliber of mutual respect and consideration for stakeholders - Mentor and support career and junior level engineers in their fleet telemetry and control software career development - Collaborate closely with energy solutions providers on their proprietary hardware and on-premises software stacks - Design, implement, and test software for supervisory distributed energy resource control and telemetry applications with heterogeneous OEM hardware, sensor/actuator networks, and remote terminal units - Develop high-performance, production-grade applications optimized for resource- and bandwidth-constrained environments - Provide specifications for over-the-air (OTA) update of on-prem software and remote access solutions for customers - Implement and enforce best security practices for critical infrastructure and cyber-physical systems What We're Looking For (Minimum Qualifications) - At least 5+ years of experience - Advanced Rust programming knowledge - Technical leadership and commitment to delivering high quality software on time or ahead of schedule, and adhering to best software development practice - Advanced knowledge of communications solutions at all layers (L1-L7) in the OSI networking model - Hardened security mindset with extensive experience in one or more technologies such as public key infrastructure, encryption, cryptography, and data privacy What Will Make You Standout (Preferred Qualifications) - A bachelor’s degree or higher in a STEM field - Proficient with electric power systems and bulk electricity grid hardware (e.g. transmission, distribution, generation, storage) - Comfortable building software on the Intel Atom family of processors or similar low-powered CPU environments - Working knowledge applying first principles of model-predictive control, optimal control, robotics, and/or reinforcement learning - Deep knowledge working with Modbus TCP or similar L5-L7 application layer networking protocol - Technical proficiency working with industrial SCADA communications protocols such as DNP3 and the IEC 60870 and 61850 family of protocols - Experience building resilient, fault tolerant applications on inherently unreliable / mesh networks with Ethernet, Wi-Fi, Zigbee, 4G/5G cellular, broadband, fiber, or satellite links - Experience with one or more battery energy storage technologies from Tesla, Sungrow, LG/NEC, or Fluence What Makes Verse a Great Place to Work? - Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first - Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders - Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection - Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations Base Pay Range $146,000 - $194,000 This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. Benefits and Employee Perks - Competitive compensation and equity grant at a high-growth start up - Comprehensive benefits package including medical, dental and vision insurance, and 401k - Flexible hours and unlimited PTO - Diverse and inclusive working environment Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation. Cloud-native by design, the Lookout platform offers rapid, scalable deployment and simplified security operations, defending the frontline of human-centric attacks—the mobile device. Attackers now target the human element more than ever, with mobile devices providing the most direct path to their victims. Using social engineering techniques that exploit basic human instincts like trust, curiosity, and urgency, they deceive users into revealing sensitive credentials, allowing them to slip past legacy security solutions. Lookout Endpoint Detection and Response (EDR) continuously monitors mobile endpoints for signs of human-centric attacks, as well as traditional malware, software vulnerabilities, and other anomalous activity. It uses advanced threat detection techniques, including artificial intelligence (AI) and behavioral analysis, to identify threats before they escalate across the enterprise. Learn more at www.lookout.com and follow us on the Lookout Blog, LinkedIn, and X. As a Software Engineer on the Security Intelligence team, you will contribute broadly to the detection engines, analysis systems, and other core intellectual property at Lookout. This position is an opportunity to take on some of the most interesting challenges in the company and join the team that provides the fundamental technological building blocks of the Security Platform that underlies Lookout’s category-defining personal and enterprise products. Lookout’s Security Platform is capable of analyzing millions of apps on a daily basis. Our analysis is trusted by Google to help identify potentially harmful applications before they enter the Play Store and by the world’s leading telecommunications providers to protect their customers. These are challenging problems and you must be open-minded to tackling new exploratory areas as well as evolving and continually improving key existing systems. You may be called on to work in high scale cloud systems, or directly on mobile platforms. We're looking for a motivated engineers who has experience building, monitoring, and maintaining high-volume, low-latency distributed SaaS solutions. You will be a member of the team that is responsible for a massively scalable platform that performs static analysis of iOS and Android applications, applying behavioral and malware detection policy. In this role, you will work closely with Lookout’s security research, data ingestion, and machine learning teams to: - enable threat hunting for state level security actors and their infrastructure. - support processing of continuously acquired Android and iOS applications. - identify components and functionality of mobile applications that can be used to determine their behavior and evaluate possible privacy risks. - invent new app analysis techniques, engines, and domain specific languages. - participate in hackathons and innovation fairs. Requirements for this position: - A strong motivation for self-directed learning, while collaborating with experts across Lookout engineering teams, to take on challenges in areas such as: - Scalable distributed systems design. - Reverse engineering of mobile applications and runtimes. - Mobile devices and platforms. - ML based data analysis support. - Experience designing/implementing large-scale, distributed, production class software on public cloud platforms such as AWS and GCP. - Strong software engineering fundamentals: object-oriented design, data structures, and algorithms. - Functional programming experience is highly desired. - Desire and ability to work across platforms and languages. - A quality-oriented mindset with a strong commitment to automated testing, metrics collection, monitoring, and continuous improvement in all of your work. - Ability to drive features from conception to deployment in an agile team with continual delivery. - 8+ years of overall development experience. - BS degree in Computer Science or similar Engineering discipline, or equivalent work experience. Technologies that you will have an opportunity to work with: - Primarily Scala, with some Java, and occasionally Ruby (in JVM). - iOS, Android, and their respective development toolchains. - Graph, SQL, and NoSQL databases including TinkerPop, ElasticSearch, and others. - AWS and GCP primitives and distributed technologies. This posting is for an existing vacancy. We are actively recruiting to fill this position immediately The Canadian base salary range for this full-time position is available below. We offer base + bonus + equity + benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all Canadian locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in Canadian role postings reflect the base salary only, and do not include bonus, equity, or benefits. Remote, Canada $130,000—$170,000 CAD

• As a Software Engineer on the Security Intelligence team, you will contribute broadly to the detection engines, analysis systems, and other core intellectual property at Lookout. • Work closely with Lookout’s security research, data ingestion, and machine learning teams to enable threat hunting for state level security actors and their infrastructure. • Support processing of continuously acquired Android and iOS applications. • Identify components and functionality of mobile applications that can be used to determine their behavior and evaluate possible privacy risks. • Invent new app analysis techniques, engines, and domain specific languages. • Participate in hackathons and innovation fairs.