Clarasight provides global enterprises with a real-time Carbon Planning & Intelligence platform to power forward-looking emissions management, so they can close the gap between climate-related actions and intentions. Some of the world's most recognizable companies, representing over $4T in market value, rely on Clarasight's software to reduce risks, save costs, protect revenues, and manage emissions aligned with business objectives and sustainability goals.

Clarasight is seeking a stellar person with exceptional data and engineering talent that is profoundly committed to reinventing how enterprises close the gap between climate-related intent and action through building the Carbon Planning and Analytics platform.

Engineering at Clarasight believes in a thoughtful, transparent, and intentional process, and has put together an Interview Package that contains details about the process, team, and everything in between. It is recommended that the information in the packet is referenced throughout the process.

About You

The right person for this role will be a highly, internally motivated, strong backend technical contributor with strong experience expertly balancing quality and time to market over short, medium, and long time horizons. It is important that you work fluidly through the whole lifecycle of delivering value and delight to our customers, from pain to medicine. How you prioritize and manage your focus is key. You have seen a wide range of problems and efficiently pattern match solutions, which you leverage to facilitate collaboration across both technical and non-technical audiences. Most of all, you’re interested in using your software engineering capabilities to make a foundational contribution to reversing climate change.

We are seeking a talented Java Developer to join our dynamic team and contribute to building and optimizing our cutting-edge data-driven product. The ideal candidate will have a strong foundation in Java and Spring Boot, with proven expertise in BigQuery, SQL, and OLAP systems. This role offers the opportunity to work on complex datasets and collaborate with a highly skilled team to deliver scalable and efficient backend solutions.

Responsibilities

• Drive the development of core systems that power the platform's Planning, Scenario Modeling, and Analytics capabilities
• Drive the development of intra-system interoperability
• Execute the full software development lifecycle; technical analysis and design, development, and unit test phases
• Identify, deliver, and drive improvements and innovations within the software, including large-scale technological and architectural changes
• Work across many subsystems successfully deliver value to customers
• Become a subject matter expert in travel and expense data and planning software systems
• Provide technical leadership and share knowledge, for instance, through code reviews, pairing, ADRs, and presentations
• Develop and maintain scalable backend services using Java and Spring Boot
• Design and optimize queries for BigQuery, focusing on large-scale data analysis
• Work with relational databases to create efficient schemas, write complex queries, and maintain data integrity
• Build and manage OLAP systems for multidimensional data analysis and reporting
• Create and maintain RESTful APIs with a focus on performance, security, and scalability
• Collaborate with data engineers and product teams to design and implement ETL processes and data pipelines
• Debug, troubleshoot, and optimize code to enhance system reliability and performance

The right candidate will feel comfortable suggesting the right technology stack for our required use cases, and you are encouraged to speak up where you see opportunities for further iteration.

A Few Things We’re Looking For

• Strong proficiency in Java, with 5+ years of hands-on experience in backend development.
• Ability and willingness to learn other coding languages and patterns quickly
• Experience going from 0 to 1
• Experience with SQL and with data intensive, asynchronous, distributed systems
• Experience building or using Financial Planning & Analysis (FP&A) systems
• Solid knowledge of Spring Boot, including experience with dependency injection, REST API development, and microservices architecture.
• Hands-on experience with BigQuery for querying and data optimization
• Expertise in writing and optimizing SQL queries and working with relational databases
• Familiarity with OLAP systems and concepts of multidimensional data modeling
• Understanding of software design patterns, best practices, and architecture principles
• Experience working in an agile development environment using git and agile project management tools
• Strong debugging and problem-solving skills
• Ability to define and uphold SLAs for operational processes you support
• Excellent verbal and written communication skills and a team-oriented mindset
• Experience in global, enterprise SaaS development
• AWS (S3, RDS, EC2, IAM, Fargate, etc.) expertise
• Collaborate with other Software and QA Engineers, Data Scientists, Report Developers, Product Managers, and Customer Success Professionals
• Ability to debug hard problems at every level of the stack, i.e. you can debug a web application problem single-handedly all the way from the browser, through the transport, through the application and servers and databases and asynchronous queues

About You

• You love data, analytics, database technology, and creating analytical systems
• You are meticulous about software quality
• You want to work at a startup on a remote, international team of A players
• You are exceptionally versatile and eager to pitch in any way you can without waiting to be asked
• You have exceptional common sense and the ability to manage ambiguity
• You are an extremely curious, insatiable lifelong learner
• You love sharing knowledge and mentoring others and helping them grow

Bonus

Experience in any of these areas is a bonus:

• TypeScript
• Experience with identity providers, ideally Auth0
• Python
• Apache Airflow
• Service Oriented Architecture patterns
• Data Warehousing and ETL pipeline development
• Data Science