Senior Software Engineer, Backend - Data Layer

Accountabilities:

• Design, build, maintain, and improve backend services responsible for storing and serving process data at enterprise scale.


• Develop solutions across relational databases and Elasticsearch/OpenSearch, balancing correctness, performance, availability, scalability, and maintainability.


• Own engineering initiatives from requirements discovery and solution design through implementation, coordination, delivery, and production rollout.


• Partner closely with Product Management and cross-functional engineering teams to translate business and customer requirements into actionable technical solutions.


• Evolve data processing, retention, storage, and exposure capabilities to meet changing customer and product requirements.


• Improve the performance and scalability of secondary storage systems as usage and data volumes grow.


• Build internal tooling and operational capabilities that make the data layer easier to understand, troubleshoot, monitor, and operate safely in production.


• Investigate production data issues, including slow queries, execution plans, indexing problems, and other performance bottlenecks, and drive them through root-cause analysis and resolution.


• Participate in L3 support and on-call rotations, collaborating with Support and Site Reliability Engineering teams to resolve production incidents.


• Use production learnings and operational insights to continuously improve the reliability, performance, and usability of the data layer.


• Provide and receive clear, constructive feedback through code reviews and technical collaboration.


• Contribute to the evolution of engineering practices and architecture within a remote-first, cross-functional environment.

Requirements

• 7+ years of professional experience as a backend software engineer, with a strong focus on backend systems and production data stores.


• Deep hands-on experience with relational databases such as PostgreSQL, MySQL, MariaDB, or MSSQL.


• Strong practical experience with Elasticsearch and/or OpenSearch, including indexing, query performance, and data modeling trade-offs.


• Proven ability to investigate slow queries, analyze execution plans and index usage, and identify root causes of production data and performance issues.


• Demonstrated experience leading medium-to-large engineering initiatives lasting three months or longer, covering solution design, planning, cross-team coordination, and predictable delivery.


• Strong understanding of backend architecture, data storage, query systems, and production-scale engineering.


• Excellent communication and collaboration skills, particularly in a distributed and remote-first environment.


• Ability to translate product requirements into clear technical plans and actionable engineering work.


• Comfortable working independently while maintaining strong alignment with Product, Engineering, Support, and SRE stakeholders.


• Willingness and ability to use the product directly to understand customer workflows and technical requirements.


• Experience with workflow automation or process orchestration software is a plus.


• Experience working across both relational databases and Elasticsearch/OpenSearch is advantageous.


• Experience building or maintaining CI pipelines is beneficial.


• Familiarity with database migration tools such as Liquibase or Flyway and with schema evolution in live production systems is a plus.

• Fully remote position with flexibility to work from anywhere within the eligible EMEA region.


• Competitive, location-based compensation designed around local market conditions.


• Equity opportunities through a Virtual Stock Option Plan where applicable.


• Home office budget and support for coworking spaces.


• Flexible time off to support sustainable work and wellbeing.


• Locally tailored healthcare benefits where applicable.


• Access to global mental wellbeing support.


• Flexible lifestyle spending benefits covering areas such as fitness, family care, personal interests, experiences, and financial wellbeing.


• Retirement and pension plans, often including company contributions, depending on location.


• Life and disability insurance where applicable.


• Up to $/€/£1,000 per year for self-directed professional development, including courses, certifications, and books.


• Opportunities to connect with colleagues through annual company kickoffs, team offsites, local gatherings, and connection budgets.


• Inclusive, remote-first working environment with strong emphasis on collaboration, autonomy, and professional growth.

Este anúncio é de Lever. Ver anúncio original ↗