Senior Developer - Vulcan

SynMax is a pioneering geospatial data analytics company built on the principle of 'Why guess when you can know.' We deliver AI-powered intelligence to the maritime and energy sectors, transforming satellite imagery, AIS feeds, and market data into actionable insights through our platforms: Hyperion (energy intelligence), Theia (maritime domain awareness), Leviaton (LNG tracking), and Vulcan (power monitoring). With offices in Houston and London, we're a diverse team of engineers, data scientists, intelligence analysts, and industry experts dedicated to bringing transparency to traditionally opaque industries.The JobWe're seeking a skilled Developer to join our growing engineering team and help build the backbone of our industry-disrupting analytics platforms. You'll be responsible for developing robust, scalable software systems with a strong emphasis on API development, data integration, and cloud infrastructure. This is an exceptional opportunity for someone who thrives in a fast-paced startup environment and wants to grow alongside a rapidly expanding company. As we scale, you'll have the chance to shape our technical architecture, development practices, and future roadmap. We're open to hiring across experience levels (2+ years) depending on skills and fit.RequirementsBS degree in a STEM field. 4 years+ experience in a data engineering or Python development roleIn-depth understanding of backend data engineering, relational database design, ETL and ELT pipelines, building scalable near-real time data streams, batch processing2+ years of experience working in Cloud Systems (GCP, AWS, Azure)Experience with Apache Spark, Apache Airflow, Dagster (in Python or Scala)Experience with geospatial data processing tools and databases is a plusExperience with multiprocessing, multithreading, query optimization, and Cython is desirableThe ability to work effectively in a team environment with remotely located staff in different time zones, demonstrating strong communication and coordination skillsExposure to energy, oil & gas domain is preferredAPI-first design, internal package development, and SQL database optimizationData pipeline development, ETL processes, and real-time streaming systemsPerformance optimization including multiprocessing, multithreading, query optimizationGitHub Actions and advanced CI/CD pipeline developmentWhat We OfferCompetitive salary and comprehensive benefits (medical, dental, vision)Significant growth opportunities as an early technical team memberCollaborative and innovative work environmentFully remote role with access to Houston and London officesDirect impact on products used by major energy companies and government agenciesMentorship from experienced engineers and technical leadersConference attendance and continuing education supportOpportunity to shape engineering direction and best practicesKey ResponsibilitiesWork with a team of analysts and developers to create an analytics software platformAutomate data source API information retrieval. Integrate data from multiple sources into analytics pipelines and relational databasesDeploy and maintain a customer-facing API and documentationWrite automated web data scrapersClean, process and integrate into data storesProvide programming support for devops and MLops projects, data science and engineering staffTest, debug and deploy code into cloud microservicesRefactor code bases to comply with standards. Profile and optimize codeImplement best practices for code quality, testing, and deployment automation in a continuous integration and deployment (CI/CD) environmentStay updated on emerging technologies and industry trends related to data processing and cloud computingHow To ApplyPlease submit your resume, a cover letter highlighting your experience with production-grade Python development and API design, and any relevant project portfolios or GitHub repositories. We're particularly interested in examples where you've built scalable APIs, integrated diverse data sources, or developed internal tooling and packages.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.J-18808-Ljbffr