About the Role 
As a Software Engineer at LHV, you’ll help build and maintain the systems that power our Retail Banking Platform. You’ll design and develop scalable backend services, work with modern cloud-native technologies, and contribute to the continuous improvement of our engineering practices. This role is ideal for someone who enjoys solving technical challenges, collaborating across teams, and writing clean, reliable code that delivers real value to customers.

Key Responsibilities: 

Software Development: 

• Design, develop, and maintain services that support LHV’s Retail Banking platform and third-party integrations.
• Write clean, efficient, and maintainable code, following best practices and team standards.
• Take ownership of mid-sized features from design through to deployment.
• Participate in code reviews, providing and receiving constructive feedback. 

Testing & Reliability: 

• Write and maintain unit and integration tests to ensure reliability of services.
• Debug and resolve issues in distributed systems.
• Contribute to improvements in automation, testing, and CI/CD pipelines. 

Collaboration & Communication: 

• Work closely with product owners, analysts, and engineers to deliver high-quality solutions.
• Contribute to technical discussions, proposing improvements in design, architecture, or processes.
• Mentor junior engineers, sharing knowledge and supporting their growth.
• Communicate progress, risks, and challenges effectively with stakeholders. 

Learning & Growth: 

• Stay up to date with modern tools, frameworks, and industry best practices.
• Build knowledge of financial services and regulated environments.
• Actively participate in team knowledge-sharing and retrospectives. 

Required Skills: 

Essential 

• Solid experience in software engineering, ideally with backend systems. 
• Proficiency in Kotlin or Java with willingness to upskill to Kotlin. 
• Confident with different types and levels of data stores, such as Cache, SQS and NoSql.  
• Familiarity with cloud environments, ideally AWS. 
• Experience with distributed systems and containerised applications (e.g., Kubernetes). 
• Understanding of DevOps practices and CI/CD pipelines. 
• Strong debugging and problem-solving skills. 
• Good communication skills and a collaborative, team-first mindset. 

Desirable 

• Experience with gRPC or other service-to-service communication frameworks. 
• Exposure to AWS services such as EventBridge, Step Functions, SQS, DynamoDB or Lambda. 
• Some experience with JavaScript/TypeScript (useful for AWS Lambdas). 
• Experience with Github Actions. 
• Background in financial services or regulated industries. 
• Interest in system scalability, resilience, and continuous improvement. 

What we’re looking for 

• Doer mindset – you like to make progress, not just plans. 

• Product-oriented – you care about building systems that solve real user problems. 

• Curious and hungry – you want to keep learning and pushing boundaries. 

• Team-first – you thrive on collaboration and shared ownership. 

About Prophecy 

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. To learn more, visit us on LinkedIn.

About the Role

As a Forward Deployed Solution Engineer, you will be a critical part of the go-to-market team owning the technical journey from initial customer engagement through to production go-live.This is a unique opportunity to operate at the intersection of engineering, sales, and customer delivery at a high-growth startup.

You are not just designing solutions you are building and shipping them. You will partner closely with Account Executives to win strategic deals, then lead hands-on implementation to ensure customers realize value quickly. This role is ideal for someone who thrives in fast-paced environments, enjoys solving ambiguous problems, and takes pride in delivering real-world impact through production systems.

What You’ll Do

• Own the Technical Win: Partner with Account Executives to lead deep technical discovery, shape solution design, and directly influence deal outcomes
• Translate Requirements into Solutions: Turn complex, ambiguous business needs into clear technical architectures, scoped plans, and executable project roadmaps
• Build & Ship Production Systems: Develop integrations, write scripts, configure APIs, and manage data flows to deliver production-ready implementations
• Drive Time-to-Value: Lead end-to-end deployments, ensuring customers reach their initial value milestones within the first 60–90 days
• Bridge Pre-Sales to Delivery: Own the transition from sales to implementation, including scoping, SOW creation, and execution
• Act as a Strategic Technical Advisor: Guide customers on architecture decisions, best practices, and long-term scalability
• Identify Expansion Opportunities: Partner with customers to uncover additional use cases and drive continued adoption and growth
• Close the Product Feedback Loop: Surface recurring challenges and contribute to product improvements through technical insights and specifications
• Operate with Ownership: Manage multiple high-impact projects simultaneously, maintaining a high bar for quality and execution

What You’ll Need

• 5+ years of experience in technical pre-sales (Solutions Engineering, Sales Engineering)
• 5+ years in a customer-facing role (Forward Deployed Engineering, Implementation Engineering, or Software Engineering)
• Strong hands-on experience building and shipping production systems in customer environments
• Proficiency in SQL and at least one scripting language (Python, JavaScript, or similar)
• Experience working with APIs, webhooks, and system integrations
• Familiarity with modern data stacks (e.g., Snowflake, Databricks, BigQuery) and ETL workflows
• Experience in cloud environments (AWS, Azure, or GCP)
• Ability to translate complex technical concepts into clear business outcomes for both technical and non-technical stakeholders

Preferred Qualifications

• Experience in a high-growth startup or fast-paced environment
• Background in solution architecture or technical pre-sales
• Experience authoring Statements of Work (SOWs) and scoping customer implementations
• Familiarity with data modeling, data pipelines, and large-scale data systems
• Comfort working across the full customer lifecycle, from pre-sales through post-deployment

Your submission of this information is governed by our privacy policy and our use thereof.