Senior Software Engineer

About Skyspecs: At Solstice Analytics, our mission is to simplify renewable asset management so that less can do more for the planet. Solstice Analytics is helping to make this possible by automating the operations and maintenance of wind farms using advanced robotics paired with our custom-built asset performance management software, Horizon. Solstice Analytics launched the world’s first completely autonomous blade inspection product in 2016 with a custom-designed drone system. Since then, Solstice Analytics has inspected over 90% of the US wind turbines and expanded globally, becoming the world leader in understanding the health of turbine blades. Identifying issues with turbine blades is only the first step. In 2019, Solstice Analytics launched Horizon, a platform for Solstice Analytics to offer a multi-layered solution for customers that includes: data collection, wind turbine blade engineering expertise, and a place for all stakeholders to collaborate to manage and analyze massive amounts of data, spot trends, and create plans for high-cost repair campaigns. In 2021, Solstice Analytics acquired two companies specializing in wind turbine drivetrain monitoring and financial management, further expanding our asset management portfolio. Ultimately, this will help reduce the cost and risk of operations for the industry. What will I be getting myself into? As a Senior Software Engineer, you will help shape the future of our Horizon platform and the way we build software. Horizon is the platform behind Solstice Analytics' wind and solar inspection and asset-management business, and the work is hands-on, building end-to-end. As the cost of producing code falls, an engineer's impact comes more than ever from judgment, design, and outcomes, not volume. AI is central to how we work here, and we treat it as serious leverage: a force multiplier for engineers who already have strong instincts, not a substitute for them. We expect everyone to keep pushing what AI, automation, and agents make possible, and to bring the judgment that makes that leverage pay off. We do not separate thinking from doing. Engineers are expected to understand the problems they are solving, formulate effective solutions, and participate directly in delivery by writing and owning production code. The people closest to the work are expected to challenge assumptions, improve proposed approaches, and actively shape how outcomes are achieved. This is a full-stack engineering role. While engineers may develop areas of deeper expertise, we expect everyone to be capable of working across frontend, backend, infrastructure, data, and developer tooling as needed to deliver outcomes. We value engineers who can understand the entire system, formulate end-to-end solutions, and contribute wherever the work requires. Our platform is built using AWS, GitLab, Auth0, Grafana, Terraform, Kafka, Node.js, Nest.js, TypeScript, Apollo GraphQL, React, Ant Design, Vitest, Playwright, and PostgreSQL. IN A GIVEN WEEK, YOU WILL: [15%] Work with product managers, customers, internal users, and other engineers to understand requirements, constraints, and desired outcomes. [10%] Formulate solutions, evaluate tradeoffs, and break work into executable milestones and implementation plans. [55%] Build and ship software. Examples include: Authoring and infrastructure as code. Designing and implementing new services and APIs. Building reusable user experiences and workflows. Improving reliability, performance, security, and developer productivity. Reviewing code generated by peers and by agents Leveraging AI tools and autonomous agents to accelerate delivery. [20%] Improve Horizon, our engineering systems, and the way we work. Examples include: Building internal tooling and automation. Improving documentation and architectural clarity. Reducing operational toil. Expanding AI and agent capabilities. Improving testing, observability, and deployment workflows. Exploring new ideas, experiments, and prototypes that could improve Horizon or the way we build software. Success is measured by outcomes delivered, not lines of code written. Requirements of the role: Core Expectations: 5+ years in roles where you wrote, shipped, and operated production software. Depth in at least one part of the stack and the range to work across the rest. Strong software engineering fundamentals and systems-thinking. Ability to independently drive work from requirements through delivery. Good judgment around tradeoffs, architecture, and maintainability. Strong written communication skills. Demonstrated ability to work within a cross-functional team of technical and non-technical contributors. Ability to work effectively across multiple layers of the stack. Experience working with AI-assisted and agentic development workflows. Hands-on experience with AI-assisted and agentic development workflows, and a track record of evolving how you use them. Sound judgment when using AI tools, including reviewing and correcting agent-generated code. Bonus Points: Familiarity with our stack: AWS, Gi