Jobs Java

We are seeking a Java Team Lead with strong Java backend development experience, deep database knowledge, and hands-on experience building modern cloud-based applications.
This role is focused on new product development, backend  architecture, database performance, containerized deployments, and reliable cloud-native software engineering. The ideal candidate is a strong individual contributor with excellent analytical skills, practical experience with enterprise-grade backend systems, and the ability to work independently in a fast-moving startup environment. This person should be comfortable designing, building, testing, optimizing, and deploying backend services that are reliable, secure, scalable, and maintainable. A strong ability to use modern AI tools effectively in everyday engineering work is required.
 

Key Responsibilities
- Design, develop, test, and maintain backend software using Java.
- Build reliable and scalable backend services for a database optimization platform.
- Participate in new product development, including architecture, implementation, performance tuning, and deployment.
- Design and implement REST APIs, service-layer components, data access layers, and integration points.
- Work with relational databases, especially PostgreSQL, with a strong focus on performance, query optimization, schema design, indexing, and troubleshooting.
- Analyze execution plans, identify database bottlenecks, and recommend or implement corrective actions.
- Develop containerized applications and deployment-ready services.
- Participate in cloud-native application development and deployment, especially in Azure-based environments.
- Support and improve CI/CD pipelines, automated testing practices, deployment processes, and release reliability.
- Apply secure coding practices and follow cloud security principles.
- Perform root-cause analysis for complex technical problems across application, database, operating system, and cloud layers.

- Write clean, maintainable, well-documented code.
- Participate in code reviews and contribute to engineering standards.
- Mentor less experienced engineers when needed.
- Use AI tools effectively and responsibly for coding, debugging, analysis, documentation, test generation, and technical research.
 

Required Qualifications
- 5+ years of professional Java development experience.
- Strong experience with backend application development.
- Strong understanding of the Java ecosystem, including Spring Framework / Spring Boot, REST API development, JPA / Hibernate, JDBC and database integration, multithreading and concurrency, and Java performance tuning and memory management.
- 3+ years of experience with Azure cloud environments.
- Hands-on experience with both Windows and Linux operating systems.
- Strong PostgreSQL experience, including SQL development, query optimization, schema design, indexing strategies, execution plan analysis, performance troubleshooting, and data migration
concepts.
- Strong experience with modern cloud DevOps practices, including CI/CD, cloud deployment models, release automation, environment configuration, and deployment troubleshooting.
- Strong experience with containers, especially Docker.
- Strong understanding of software architecture and design, including scalable and maintainable system design, distributed systems concepts, service-oriented or microservices architecture,
technical tradeoff analysis, and legacy modernization.
- Strong testing and code quality practices, including unit testing, integration testing, test automation, code reviews, debugging, and root-cause analysis.
- Strong analytical and problem-solving skills.
- Ability to work independently and take ownership of complex technical problems.
- Strong communication skills and ability to clarify requirements, explain tradeoffs, and propose practical solutions.
- Demonstrated ability to use AI tools productively and responsibly in daily engineering work.
 

Highly Desired / Big Plus

- Experience with MS SQL Server.
- Experience with other database platforms.
- Experience with Infrastructure as Code tools such as Terraform, Bicep, ARM templates, Pulumi, or similar.
- Experience with observability tools and practices, including logging, metrics, tracing, monitoring, alerting, and application performance diagnostics.
- Deeper understanding of cloud security operations, including identity and access management, secrets management, role-based access control, secure network configuration, and secure
deployment practices.
- Experience with Kubernetes or other container orchestration platforms.
- Experience with enterprise-grade, data-intensive applications.
- Experience working in startup-style or fast-moving product development environments.

- Good English communication skills.
 

AI Tooling Expectations
The successful candidate should be able to use AI tools as a regular part of their engineering workflow. This includes using AI to:
- Accelerate coding and refactoring.
- Generate and improve unit and integration tests.
- Assist with debugging and root-cause analysis.
- Analyze logs, errors, SQL queries, and execution plans.
- Draft technical documentation.
- Research technical approaches and compare implementation options.
- Improve productivity without compromising code quality, security, or correctness.
The candidate must understand that AI-generated output requires careful review, validation, testing, and security awareness.
 

Ideal Candidate Profile
The ideal candidate is a senior-level backend engineer who combines strong Java development skills with practical cloud, DevOps, database, and performance engineering experience.
This person should be comfortable working across application code, database design, deployment pipelines, containers, and production troubleshooting. They should be analytical, self-directed,
technically mature, and capable of making sound engineering decisions without requiring heavy supervision.
Because we are building a state-of-the-art database optimization platform, the strongest candidates will be those who enjoy technically challenging work, understand performance-oriented
engineering, and are comfortable working in a startup environment where ownership, initiative, and practical problem-solving are highly valued.

• Project Description:

  A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients, which is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). The project tech stack: Java, Scala, Spring, SQL, Kafka, Hadoop.
  
  We are looking for a strong Senior Java Developer capable of being able to work within the team, being a mentor for team members, communicating with stakeholders, and being accountable for the outcomes of activities that are assigned.
  
  The role of the involves working with strong development teams (2 Senior Java Developers), the opportunity to work with big data, improving knowledge in this domain, and utilizing the resources of an international bank.

• Responsibilities:

  • Design and build frameworks for ingesting/modeling the complex Risk data
  • Develop Low latency caching to service Front office risk systems
  • Setup monitoring and management for services
  • Provide SME support for development of automated QA scripts

• Mandatory Skills Description:

  • Strong knowledge of Big Data technologies: Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) and Apache Spark. Green flags: Spark, Hive, Hadoop.
  • At least 5 years of experience in software development, including professional backend software development experience;
  • Strong Knowledge of Java programming languages
  • Should be familiar with algorithms and design patterns
  • Familiarity with Linux environment, including scripting skills
  • Designing and building APIs (Java);
  • Java Server-side or Back-end development;
  • Core Java;
  • Java collections and multithreading;
  • Java Memory Management;
  • Database and SQL (writing stored procedures, designing table schemas).
  • Understanding of distributed systems.
  • Understanding of CI/CD workflow.
  
  • Ability to multi-task and work under pressure.
  • Ability to pick up new concepts and apply the knowledge.
  • Demonstrated problem-solving skills.
  • Enthusiastic and proactive approach with a willingness to learn.
  • The candidate is expected to be dynamic and flexible with a high energy level as this is a demanding and rapidly changing environment

• Nice-to-Have Skills Description:

  • Experience In-memory databases and caching
  • Job Orchestration tools like Autosys or Airflow
  • Apache Spark
  • Financial background (where possible)

• Languages:
  • English: C1 Advanced

One of the world's largest providers of products and services to the energy industry has a need to develop and support enterprise information system in Oil & Gas domain.
Product being developed is a cloud solution for interpretation of geological and geophysical data. Project is based on SCRUM methodology.
Our project is stable, long-term and constantly adopts new technologies such as newest Java and Eclipse RCP versions, cloud and GPU computing, microservices architecture and other innovative frameworks.
Work supposes close cooperation with Customer team located in Houston and following Agile principles.
Our team is senior, supportive and friendly.

• Responsibilities:

  • Collaborate closely with geophysicists, data scientists, and software engineers to translate scientific domain requirements into robust on-prem or Cloud software
  solutions.
  • Design, develop, and maintain high-performance applications for geophysical and geological data analysis, interpretation and visualization (e.g., seismic, horizon,
  fault, velocity model, etc.)
  • Present architectural designs and technical proposals to the architecture review board.
  • Ability to break down development tasks and lay out clear implementation roadmaps.
  • Implement and optimize computation algorithms
  • Design and develop both thin and thick client applications that interact with cloud-based microservices.
  • Ensure high code quality through unit testing, code reviews, security hardening and continuous integration with other domain tools
  • Provide technical support and lead user troubleshooting sessions to resolve issues and ensure smooth operation of DSG application.
  • Mentor junior developers and actively contribute to architectural and implementation decisions.
  • Embrace Agile/Scrum methodologies, delivering and demonstrating working solutions at the end of each sprint
  • Stay current with emerging technologies and trends in geophysical computing and software development.

• Mandatory Skills Description:

  6+ years of hands-on Java development experience
  Strong Java Core knowledge
  Experience with desktop development frameworks: Swing, SWT, or Eclipse RCP
  Proven experience designing and building complex systems end-to-end, not just maintaining or extending existing ones
  Practical understanding of multithreaded programming: ability to implement concurrency in code directly, not only through third-party libraries
  Solid knowledge of design patterns and software architecture principles
  Ability to clearly articulate past projects, personal responsibilities, and concrete individual contributions
  Experience working in non-microservices, non-cloud-native development environments (desktop, embedded, or domain-specific platforms)
  Stable career trajectory, no fragmented job history with short tenures

🌍 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

🧩 About the Product:

We are building an AI-first platform that fuses multiple maritime data sources into a unified operational picture. The system builds a digital twin of global maritime activity, applies behavioral analytics and predictive AI models to surface smuggling, illegal fishing, container risk, and other compliance or security threats, and presents mission-grade intelligence to both commercial and government stakeholders. 

🌟 About the Role:

As a Senior Backend (Java) Engineer, you will own the end-to-end development of core data processing services within our maritime intelligence platform. 

You will collaborate closely with data scientists, analysts and software engineers to design and implement scalable microservices and streaming solutions. Leveraging AWS, Spring Boot and Kafka, you’ll tackle technical challenges around high-throughput ingestion, low-latency processing and data integrity.

📈 Key Responsibilities:

• Develop robust, high-performance backend services using Java and Spring Boot.
• Implement real-time data streaming solutions with Apache Kafka.
• Design, build and maintain scalable data pipelines for collection, processing and transformation from diverse sources.
• Leverage AWS services for data storage, processing and analytics following security and performance best practices.
• Monitor, troubleshoot and optimize service performance to identify and eliminate bottlenecks.
• Ensure data integrity, reliability and availability through effective ETL processes and quality checks.
• Drive improvements in architecture, code quality and automation across the backend codebase.

💻 Required Competence and Skills:

• At least 5 years of professional experience as a Backend Engineer.
• Proficiency in Java and Spring Boot within a microservices architecture.
• Experience implementing and operating Kafka streaming solutions.
• Practical knowledge of AWS for data storage, processing and analytics.
• Production agentic AI experience (Claude Code or alternatives) utilizing MCP, custom .md files, and orchestrating subagent workflows.
• Strong problem-solving skills with attention to detail.
• Ability to work independently, challenge decisions and lead technical discussions.
• Excellent communication skills for cross-team collaboration.
• Bachelor’s degree in Computer Science, Engineering or a related field.

➕ Nice to Have:

• Experience designing and building ETL processes for data transformation and integration.
• Familiarity with Apache Spark for large-scale data processing.
• Knowledge of Python or Node.js for supporting integration tasks.
• Prior work with maritime, geospatial, defense or logistics domains.

🚀 Why Us:

- We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

- We provide full accounting and legal support in all countries we operate.

- We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

- We offer a highly competitive package with yearly performance and compensation reviews.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

We are building an AI-first platform that fuses multiple maritime data sources into a unified operational picture. The system builds a digital twin of global maritime activity, applies behavioral analytics and predictive AI models to surface smuggling, illegal fishing, container risk, and other compliance or security threats, and presents mission-grade intelligence to both commercial and government stakeholders. 

Operating at global scale, the platform processes millions of events and terabytes of geospatial data daily, relies on cloud infrastructure and microservices, and integrates with upstream research prototypes from data science teams. 

About the Role:

As a Senior Backend (Java) Engineer, you will own the end-to-end development of core data processing services within our maritime intelligence platform. 
You will collaborate closely with data scientists, analysts and software engineers to design and implement scalable microservices and streaming solutions. Leveraging AWS, Spring Boot and Kafka, you’ll tackle technical challenges around high-throughput ingestion, low-latency processing and data integrity.

Key Responsibilities:

• Develop robust, high-performance backend services using Java and Spring Boot.
• Implement real-time data streaming solutions with Apache Kafka.
• Design, build and maintain scalable data pipelines for collection, processing and transformation from diverse sources.
• Leverage AWS services for data storage, processing and analytics following security and performance best practices.
• Monitor, troubleshoot and optimize service performance to identify and eliminate bottlenecks.
• Ensure data integrity, reliability and availability through effective ETL processes and quality checks.
• Drive improvements in architecture, code quality and automation across the backend codebase.

Required Competence and Skills:

.

• At least 5 years of professional experience as a Backend Engineer.
• Proficiency in Java and Spring Boot within a microservices architecture.
• Experience implementing and operating Kafka streaming solutions.
• Practical knowledge of AWS for data storage, processing and analytics.
• Strong problem-solving skills with attention to detail.
• Ability to work independently, challenge decisions and lead technical discussions.
• Excellent communication skills for cross-team collaboration.
• Bachelor’s degree in Computer Science, Engineering or a related field.

Nice to Have:

• Experience designing and building ETL processes for data transformation and integration.
• Familiarity with Apache Spark for large-scale data processing.
• Practical agentic AI experience (Claude Code or alternatives) utilizing MCP, custom .md files, and orchestrating subagent workflows.
• Knowledge of Python or Node.js for supporting integration tasks.
• Prior work with maritime, geospatial, defense or logistics domains.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

Project Description:

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

Responsibilities:

- Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform
- Build and enhance data processing pipelines using Java and Apache Spark
- Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources
- Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions
- Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle
- Translate business and regulatory requirements into robust technical solutions
- Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality
- Investigate and resolve data and application issues in development, test, and production environments
- Improve application performance, scalability, and reliability for high-volume data processing workloads
- Contribute to the design and implementation of reusable components and engineering best practices
- Participate in code reviews, testing, and release activities to ensure high-quality deliverables
- Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model
- Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

Mandatory Skills:

- 6+ years of commercial experience with Java
- Experience in designing and developing scalable, high-performance backend applications
- Good knowledge of SQL and working with large datasets from multiple data sources
- Strong problem-solving skills and ability to work effectively in a global distributed team

Nice-to-Have Skills Description:

- Spark and Hadoop knowledge
- Experience in financial services, investment banking, or regulatory reporting projects
- Familiarity with data quality, reconciliation, and control frameworks
- Experience working with large-scale enterprise data platforms
- Knowledge of cloud environments and modern data platform architectures
- Understanding of CI/CD practices and automated deployment pipelines
- Experience working in Agile / Scrum teams within a distributed global setup

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

• Responsibilities:

  - Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform
  - Build and enhance data processing pipelines using Java and Apache Spark
  - Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources
  - Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions
  - Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle
  - Translate business and regulatory requirements into robust technical solutions
  - Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality
  - Investigate and resolve data and application issues in development, test, and production environments
  - Improve application performance, scalability, and reliability for high-volume data processing workloads
  - Contribute to the design and implementation of reusable components and engineering best practices
  - Participate in code reviews, testing, and release activities to ensure high-quality deliverables
  - Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model
  - Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

• Mandatory Skills Description:

  - 6+ years of commercial experience with Java
  - Experience in designing and developing scalable, high-performance backend applications
  - Good knowledge of SQL and working with large datasets from multiple data sources
  - Strong problem-solving skills and ability to work effectively in a global distributed team

• Nice-to-Have Skills Description:

  - Spark and Hadoop knowledge
  - Experience in financial services, investment banking, or regulatory reporting projects
  - Familiarity with data quality, reconciliation, and control frameworks
  - Experience working with large-scale enterprise data platforms
  - Knowledge of cloud environments and modern data platform architectures
  - Understanding of CI/CD practices and automated deployment pipelines
  - Experience working in Agile / Scrum teams within a distributed global setup

Technology: 
Java 6/7/8, Legacy Spring, Java EE/J2EE, Servlets, JSP, Struts, Hibernate, JDBC, Tomcat/JBoss/WebLogic/WebSphere, Maven/Ant/Gradle, SOAP, XML, SQL

English: Intermediate – Upper Intermediate
Assignment: Full-time
Duration: 6+ months

We offer:

- cooperation with a stable company with well-established processes and a positive atmosphere;

- experience in project management of different levels of complexity, methodology, and approaches;

- flexible schedule: Mon-Fri (8 hours a day);

- 18 days of paid vacation; 15 days sick leave

- a decent level of remuneration with regular reviews of the results of cooperation;

- corporate library for self-development;

- extensive loyalty program.

• You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
  This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
  The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

   

• Responsibilities:

  - Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform
  - Build and enhance data processing pipelines using Java and Apache Spark
  - Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources
  - Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions
  - Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle
  - Translate business and regulatory requirements into robust technical solutions
  - Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality
  - Investigate and resolve data and application issues in development, test, and production environments
  - Improve application performance, scalability, and reliability for high-volume data processing workloads
  - Contribute to the design and implementation of reusable components and engineering best practices
  - Participate in code reviews, testing, and release activities to ensure high-quality deliverables
  - Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model
  - Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

   

• Mandatory Skills Description:

  - 6+ years of commercial experience with Java
  - Experience in designing and developing scalable, high-performance backend applications
  - Good knowledge of SQL and working with large datasets from multiple data sources
  - Strong problem-solving skills and ability to work effectively in a global distributed team

   

• Nice-to-Have Skills Description:

  - Spark and Hadoop knowledge
  - Experience in financial services, investment banking, or regulatory reporting projects
  - Familiarity with data quality, reconciliation, and control frameworks
  - Experience working with large-scale enterprise data platforms
  - Knowledge of cloud environments and modern data platform architectures
  - Understanding of CI/CD practices and automated deployment pipelines
  - Experience working in Agile / Scrum teams within a distributed global setup

   

• Languages:
  • English: B2 Upper Intermediate

• Project Description:

  You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
  This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
  The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

• Responsibilities:

  - Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform
  - Build and enhance data processing pipelines using Java and Apache Spark
  - Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources
  - Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions
  - Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle
  - Translate business and regulatory requirements into robust technical solutions
  - Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality
  - Investigate and resolve data and application issues in development, test, and production environments
  - Improve application performance, scalability, and reliability for high-volume data processing workloads
  - Contribute to the design and implementation of reusable components and engineering best practices
  - Participate in code reviews, testing, and release activities to ensure high-quality deliverables
  - Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model
  - Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

• Mandatory Skills Description:

  - 6+ years of commercial experience with Java
  - Experience in designing and developing scalable, high-performance backend applications
  - Good knowledge of SQL and working with large datasets from multiple data sources
  - Strong problem-solving skills and ability to work effectively in a global distributed team

• Nice-to-Have Skills Description:

  - Spark and Hadoop knowledge
  - Experience in financial services, investment banking, or regulatory reporting projects
  - Familiarity with data quality, reconciliation, and control frameworks
  - Experience working with large-scale enterprise data platforms
  - Knowledge of cloud environments and modern data platform architectures
  - Understanding of CI/CD practices and automated deployment pipelines
  - Experience working in Agile / Scrum teams within a distributed global setup

• Languages:
  • English: B2 Upper Intermediate

We are seeking a Java Team Lead with strong Java backend development experience, deep database knowledge, and hands-on experience building modern cloud-based applications.
This role is focused on new product development, backend  architecture, database performance, containerized deployments, and reliable cloud-native software engineering. The ideal candidate is a strong individual contributor with excellent analytical skills, practical experience with enterprise-grade backend systems, and the ability to work independently in a fast-moving startup environment. This person should be comfortable designing, building, testing, optimizing, and deploying backend services that are reliable, secure, scalable, and maintainable. A strong ability to use modern AI tools effectively in everyday engineering work is required.
 

Key Responsibilities
- Design, develop, test, and maintain backend software using Java.
- Build reliable and scalable backend services for a database optimization platform.
- Participate in new product development, including architecture, implementation, performance tuning, and deployment.
- Design and implement REST APIs, service-layer components, data access layers, and integration points.
- Work with relational databases, especially PostgreSQL, with a strong focus on performance, query optimization, schema design, indexing, and troubleshooting.
- Analyze execution plans, identify database bottlenecks, and recommend or implement corrective actions.
- Develop containerized applications and deployment-ready services.
- Participate in cloud-native application development and deployment, especially in Azure-based environments.
- Support and improve CI/CD pipelines, automated testing practices, deployment processes, and release reliability.
- Apply secure coding practices and follow cloud security principles.
- Perform root-cause analysis for complex technical problems across application, database, operating system, and cloud layers.

- Write clean, maintainable, well-documented code.
- Participate in code reviews and contribute to engineering standards.
- Mentor less experienced engineers when needed.
- Use AI tools effectively and responsibly for coding, debugging, analysis, documentation, test generation, and technical research.
 

Required Qualifications
- 5+ years of professional Java development experience.
- Strong experience with backend application development.
- Strong understanding of the Java ecosystem, including Spring Framework / Spring Boot, REST API development, JPA / Hibernate, JDBC and database integration, multithreading and concurrency, and Java performance tuning and memory management.
- 3+ years of experience with Azure cloud environments.
- Hands-on experience with both Windows and Linux operating systems.
- Strong PostgreSQL experience, including SQL development, query optimization, schema design, indexing strategies, execution plan analysis, performance troubleshooting, and data migration
concepts.
- Strong experience with modern cloud DevOps practices, including CI/CD, cloud deployment models, release automation, environment configuration, and deployment troubleshooting.
- Strong experience with containers, especially Docker.
- Strong understanding of software architecture and design, including scalable and maintainable system design, distributed systems concepts, service-oriented or microservices architecture,
technical tradeoff analysis, and legacy modernization.
- Strong testing and code quality practices, including unit testing, integration testing, test automation, code reviews, debugging, and root-cause analysis.
- Strong analytical and problem-solving skills.
- Ability to work independently and take ownership of complex technical problems.
- Strong communication skills and ability to clarify requirements, explain tradeoffs, and propose practical solutions.
- Demonstrated ability to use AI tools productively and responsibly in daily engineering work.
 

Highly Desired / Big Plus

- Experience with MS SQL Server.
- Experience with other database platforms.
- Experience with Infrastructure as Code tools such as Terraform, Bicep, ARM templates, Pulumi, or similar.
- Experience with observability tools and practices, including logging, metrics, tracing, monitoring, alerting, and application performance diagnostics.
- Deeper understanding of cloud security operations, including identity and access management, secrets management, role-based access control, secure network configuration, and secure
deployment practices.
- Experience with Kubernetes or other container orchestration platforms.
- Experience with enterprise-grade, data-intensive applications.
- Experience working in startup-style or fast-moving product development environments.

- Good English communication skills.
 

AI Tooling Expectations
The successful candidate should be able to use AI tools as a regular part of their engineering workflow. This includes using AI to:
- Accelerate coding and refactoring.
- Generate and improve unit and integration tests.
- Assist with debugging and root-cause analysis.
- Analyze logs, errors, SQL queries, and execution plans.
- Draft technical documentation.
- Research technical approaches and compare implementation options.
- Improve productivity without compromising code quality, security, or correctness.
The candidate must understand that AI-generated output requires careful review, validation, testing, and security awareness.
 

Ideal Candidate Profile
The ideal candidate is a senior-level backend engineer who combines strong Java development skills with practical cloud, DevOps, database, and performance engineering experience.
This person should be comfortable working across application code, database design, deployment pipelines, containers, and production troubleshooting. They should be analytical, self-directed,
technically mature, and capable of making sound engineering decisions without requiring heavy supervision.
Because we are building a state-of-the-art database optimization platform, the strongest candidates will be those who enjoy technically challenging work, understand performance-oriented
engineering, and are comfortable working in a startup environment where ownership, initiative, and practical problem-solving are highly valued.

Project Description:

One of the world's largest providers of products and services to the energy industry has a need to develop and support enterprise information system in Oil & Gas domain.
Product being developed is a cloud solution for interpretation of geological and geophysical data. Project is based on SCRUM methodology.
Our project is stable, long-term and constantly adopts new technologies such as newest Java and Eclipse RCP versions, cloud and GPU computing, microservices architecture and other innovative frameworks.
Work supposes close cooperation with Customer team located in Houston and following Agile principles.
Our team is senior, supportive and friendly.

Responsibilities:

• Collaborate closely with geophysicists, data scientists, and software engineers to translate scientific domain requirements into robust on-prem or Cloud software
solutions.
• Design, develop, and maintain high-performance applications for geophysical and geological data analysis, interpretation and visualization (e.g., seismic, horizon,
fault, velocity model, etc.)
• Present architectural designs and technical proposals to the architecture review board.
• Ability to break down development tasks and lay out clear implementation roadmaps.
• Implement and optimize computation algorithms
• Design and develop both thin and thick client applications that interact with cloud-based microservices.
• Ensure high code quality through unit testing, code reviews, security hardening and continuous integration with other domain tools
• Provide technical support and lead user troubleshooting sessions to resolve issues and ensure smooth operation of DSG application.
• Mentor junior developers and actively contribute to architectural and implementation decisions.
• Embrace Agile/Scrum methodologies, delivering and demonstrating working solutions at the end of each sprint
• Stay current with emerging technologies and trends in geophysical computing and software development.

Mandatory Skills Description:

6+ years of hands-on Java development experience
Strong Java Core knowledge
Experience with desktop development frameworks: Swing, SWT, or Eclipse RCP
Proven experience designing and building complex systems end-to-end, not just maintaining or extending existing ones
Practical understanding of multithreaded programming: ability to implement concurrency in code directly, not only through third-party libraries
Solid knowledge of design patterns and software architecture principles
Ability to clearly articulate past projects, personal responsibilities, and concrete individual contributions
Experience working in non-microservices, non-cloud-native development environments (desktop, embedded, or domain-specific platforms)
Stable career trajectory, no fragmented job history with short tenures

Nice-to-Have Skills Description:

C++ development skills
Practical experience with the Eclipse RCP framework
OSGi knowledge
Oil & Gas domain experience

Languages:

English: B2 Upper Intermediate

We are looking for a Middle Full-Stack Software Engineer with 3–5 years of commercial experience to help maintain and modernize a large-scale software platform.

Requirements:

• 3+ years of experience in full-stack software development.
• Strong proficiency in Java and Spring Boot.
• Experience with React.js and/or Next.js.
• Hands-on experience with SQL and RESTful APIs.
• Experience with Grails and/or MongoDB is a plus.
• Experience with software engineering best practices, including code reviews, testing, source control, and CI/CD workflows.
• Comfortable working across the full stack, handling both backend services and front-end/UI changes independently
• Experience using AI-assisted coding tools (e.g., Claude Code or similar).
• Experience with dependency management and monitoring tools is a plus.
• Strong understanding of object-oriented programming principles.
• Excellent communication and collaboration skills.
• Experience working in an Agile environment.

• Availability for 1–2 hours of overlap with U.S. Central Time (9:00 AM — 5:00 PM CT)

   

Key Responsibilities

• Own routine platform maintenance, ensuring systems remain secure, stable, and up to date.
• Review, test, and implement dependency and library updates.
• Perform third-party service upgrades and validate integrations after releases.
• Investigate and resolve production issues identified through monitoring tools.
• Monitor releases to detect regressions and maintain platform stability.
• Contribute to long-term modernization initiatives, including framework migrations and technical debt reduction.
• Develop clean, efficient, and maintainable code across both backend and frontend.
• Participate in code reviews to ensure high code quality and adherence to engineering best practices.
• Troubleshoot, optimize, and resolve complex software issues.
• Collaborate with distributed team members across time zones and maintain clear technical documentation.

A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients, which is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). The project tech stack: Java, Scala, Spring, SQL, Kafka, Hadoop.

We are looking for a strong Senior Java Developer capable of being able to work within the team, being a mentor for team members, communicating with stakeholders, and being accountable for the outcomes of activities that are assigned.

The role of the involves working with strong development teams (2 Senior Java Developers), the opportunity to work with big data, improving knowledge in this domain, and utilizing the resources of an international bank.

Responsibilities

Design and build frameworks for ingesting/modeling the complex Risk data

Develop Low latency caching to service Front office risk systems

Setup monitoring and management for services

Provide SME support for development of automated QA scripts

Skills

Must have

Strong knowledge of Big Data technologies: Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) and Apache Spark. Green flags: Spark, Hive, Hadoop.

At least 5 years of experience in software development, including professional backend software development experience;

Strong Knowledge of Java programming languages

Should be familiar with algorithms and design patterns

Familiarity with Linux environment, including scripting skills

Designing and building APIs (Java);

Java Server-side or Back-end development;

Core Java;

Java collections and multithreading;

Java Memory Management;

Database and SQL (writing stored procedures, designing table schemas).

Understanding of distributed systems.

Understanding of CI/CD workflow.

Ability to multi-task and work under pressure.

Ability to pick up new concepts and apply the knowledge.

Demonstrated problem-solving skills.

Enthusiastic and proactive approach with a willingness to learn.

The candidate is expected to be dynamic and flexible with a high energy level as this is a demanding and rapidly changing environment

Nice to have

Experience In-memory databases and caching

Job Orchestration tools like Autosys or Airflow

Apache Spark

Financial background (where possible)

We are looking for a Middle Back-End Engineer to join our team at ORIL. This is an opportunity to work on a sophisticated FinTech platform that automates and streamlines credit underwriting for the US automotive industry. If you enjoy working with complex data logic, a robust architecture, and a huge ecosystem of third-party integrations, this role is for you.
 

About the Project

Our client is a US-based innovator providing a web application for automated loan underwriting. The platform processes applications, runs proprietary scoring algorithms, and connects dealerships with major credit agencies and lenders to instantly generate financial offers. The project has a stable, released platform and is currently focused on scaling and onboarding new enterprise partners through active integrations.

Tech Stack: Java 21, Spring Boot, Node.js, Maven, MongoDB, Hazelcast, Docker, WebSockets, JWT, AWS S3, Angular.
 

What are we looking for?

• 3+ years of experience in Back-End development using Java (Spring Boot) and Node.js;
• Solid experience in building, maintaining, and optimizing complex third-party API integrations;
• Proficiency with MongoDB and caching solutions (e.g., Hazelcast);
• Ability to take ownership of backend features, from designing logic to handling security (JWT, WebSockets);
• An analytical mindset capable of working with scoring algorithms and complex business logic;
• Ability to discuss technical solutions directly with the team and the client;
• English level: Upper-Intermediate (B2).
   

Nice to have:

• Experience in FinTech, SaaS, or credit underwriting domains;
• Basic understanding of Angular to smoothly collaborate with frontend tasks if needed;
• Experience with AWS services.

What will you do?

• Develop, optimize, and maintain the backend logic (Java + Node.js) for the platform;
• Implement and support a wide range of third-party integrations;
• Enhance and optimize the core underwriting algorithmic engine;
• Collaborate with the team to ensure high system reliability, security, and performance;
• Participate in technical discussions to help map out the integration of new partners.
   

We offer:

• Competitive compensation;
• Flexibility to work from anywhere (fully remotely or in our office in Lviv);
• Accounting Support Services;
• Education budget + corporate education events/trainings;
• Compensation for certifications, fitness, or therapy sessions;
• A dynamic environment where your proactivity is recognized and rewarded.
   

Application Process:

1. Initial Screening: Call with Recruiter.
2. Technical Interview.
3. Client Interview.
    

Ready to build the future of Auto FinTech? Apply now and let’s get to work!