Senior Software Engineer — Query Engine / Data Platform

OpportuLand; Northern (KY); Remoto; USD 101.000 - 156.000; Tempo pieno

Descrizione del lavoro

OpportuLand is seeking a Senior Software Engineer to own core query engine components in a large-scale data platform. You will drive planning, optimization, and execution while maintaining production-quality code and deep ownership of distributed systems.

Responsibilities include diagnosing issues, backporting fixes, and improving tests, diagnostics, and observability. Requires cloud experience (GCP/AWS/Azure) and strong coding skills in Java or C++.

Competenze

• BS or MS in Computer Science, Computer Engineering, or a related field.
• 5+ years in backend / systems software engineering with ownership of components end-to-end.
• Strong proficiency in Java or C++ with deep understanding of OOP, systems design, memory management, concurrency, and async programming.
• Advanced SQL and understanding of query execution internals — planning, optimization, and operators.
• Experience building or extending data processing systems: query engines, distributed databases, ETL/ELT, or analytical platforms.
• Ability to assess change risk in a mature production system; experience supporting software across versions/environments.
• Hands-on Jenkins and modern CI/CD workflows; Docker and Kubernetes.
• Hands-on experience with at least one major cloud (GCP, AWS, or Azure).
• Strong Git/GitHub workflows and rigorous code-review habits.
• Comfort with AI-assisted development workflows and tools for debugging and test generation.
• Prior mentoring, design leadership, or end-to-end ownership experience.
• English B2+ for daily collaboration with US-based teams.
• Willingness to work EU business hours shifted 2–3 hours later for overlap.

Mansioni

• Architect, design, and implement query engine components — planner, optimizer, execution operators, memory management, and data access layers.
• Diagnose and resolve production and customer-reported issues across the full query path — correctness, performance, memory, concurrency, resiliency, compatibility.
• Develop, review, and backport fixes across multiple release lines; strengthen regression prevention.
• Write and review high-quality, performance-critical code in Java and/or C++.
• Analyze query profiles, execution plans, logs, and telemetry to drive performance optimization.
• Integrate with columnar formats, open table formats, and connectivity drivers.
• Improve regression tests, diagnostics, and observability; contribute to CI/CD pipelines and quality processes.
• Mentor engineers, lead code reviews, and help set technical standards.
• Debug complex cross-layer issues spanning planning, execution, memory, and I/O with US leads.

Conoscenze

Java

C++

SQL

OOP

Distributed systems

CI/CD

Jenkins

Docker

Kubernetes

Git/GitHub

Cloud

GCP

AWS

Azure

Code review

Formazione

BS/MS in Computer Science or Computer Engineering

Strumenti

Jenkins

Docker

Kubernetes

Git/GitHub

Descrizione del lavoro

Senior Software Engineer — Query Engine / Data Platform

About Our Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior Software Engineer to work on the core query engine of a large-scale distributed data platform. You will own significant components across query planning, optimization, and execution — both driving improvements and acting as a trusted owner of production quality: diagnosing complex customer-reported issues and delivering safe, well-tested fixes across supported release lines. Engineers with staff-level scope and ambitions are very welcome. This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

Responsibilities

• Architect, design, and implement query engine components — planner, optimizer, execution operators, memory management, and data access layers
• Diagnose and resolve complex production and customer-reported issues across the full query path — correctness, performance, memory, concurrency, resiliency, and compatibility
• Develop, review, and backport fixes across multiple supported release lines; strengthen regression prevention
• Write and review high-quality, performance-critical code in Java and/or C++
• Analyze query profiles, execution plans, logs, and telemetry to drive performance optimization — profiling, benchmarking, and eliminating bottlenecks in latency- and throughput-sensitive paths
• Integrate with columnar formats, open table formats, and connectivity drivers
• Improve regression tests, diagnostics, and observability; contribute to CI/CD architecture and quality processes in Jenkins
• Mentor middle engineers, lead code reviews, and help set technical standards
• Debug complex cross-layer issues spanning query planning, distributed execution, memory management, and I/O, partnering with US-based engineering leads

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field
• 5+ years in backend / systems software engineering with a track record of owning significant components end-to-end
• Strong proficiency in Java or C++ (comfort with both is especially valued), with deep understanding of OOP, systems design, memory management, concurrency, and asynchronous programming
• Advanced SQL and solid understanding of query execution internals — planning, optimization, operator implementation
• Experience building or extending data processing systems: query engines, distributed databases, ETL/ELT, or analytical platforms
• Ability to assess change risk in a mature production system; experience supporting software across multiple versions, branches, or customer environments
• Hands-on experience with Jenkins and modern CI/CD workflows; Docker and Kubernetes
• Hands-on experience with at least one major cloud (GCP, AWS, or Azure)
• Confident Git/GitHub workflows and rigorous code-review habits
• Comfortable with AI-assisted development workflows — using modern AI tools for code comprehension, debugging, and test generation, and critically validating their output
• Prior experience mentoring engineers, leading technical designs, or owning components end-to-end
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

Desired SkillsApache Arrow (columnar in-memory format) and SQL planner/optimizer frameworks such as Apache CalciteLLVM-based runtime expression compilation / code generationOpen table formats — Apache Iceberg, Delta Lake, or Hudi — and columnar file formats such as Parquet, Avro, or ORCMPP query engines (Presto, Trino, or similar); background with distributed data platforms such as Spark, Snowflake, or DatabricksDeep understanding of query optimization (cost-based, rule-based), vectorized execution, memory management, spilling, and cachingConnectivity drivers: JDBC, ODBC, Arrow FlightManaged Kubernetes (GKE/EKS/AKS) and multi-cloud exposure; Terraform; cloud object storage (AWS S3, Azure Data Lake Storage, Google Cloud Storage)SaaS operations experience: incident response, profiling, observability, release and backport processesSystems-level performance work and open-source contributions to data infrastructure projects

Details

Engagement: Long-term contractLocation: Europe (EU / EEA / UK), remoteWorking hours: EU business hours shifted 2–3 hours later for daily overlap with the US West Coast team