Requirements:
7+ years of hands-on experience as a Java backend engineer working on production-grade systems.

Expert-level proficiency in Java 8+, Spring Boot, and Hibernate/JPA.

Strong background in designing and deploying scalable, fault-tolerant microservices.

Deep understanding of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Redis).

Experience working with cloud platforms (AWS), including managed services (e.g., RDS, S3, ECS, etc.).

Familiarity with containerization and orchestration tools like Docker and Kubernetes.

Solid knowledge of CI/CD pipelines, Git workflows, and modern DevOps principles.

Experience integrating message brokers like Kafka, RabbitMQ, or ActiveMQ in production systems.

Proven ability to lead initiatives, improve system performance, and troubleshoot distributed systems.

Requirements:
4-6 years of hands-on experience as a Java backend engineer working on production-grade systems.

Expert-level proficiency in Java 8+, Spring Boot, and Hibernate/JPA.

Strong background in designing and deploying scalable, fault-tolerant microservices.

Deep understanding of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Redis).

Experience working with cloud platforms (AWS), including managed services (e.g., RDS, S3, ECS, etc.).

Familiarity with containerization and orchestration tools like Docker and Kubernetes.

Solid knowledge of CI/CD pipelines, Git workflows, and modern DevOps principles.

Experience integrating message brokers like Kafka, RabbitMQ, or ActiveMQ in production systems.

Proven ability to lead initiatives, improve system performance, and troubleshoot distributed systems.

Requirements:
3+ years work-related industry experience using Java/Scala/Python
Experience with Big Data technologies: Hadoop, Spark, Elasticsearch (ELK), Flink, Kafka and similar an advantage
Experience building and deploying large scale, low-latency data processing systems
Excellent understanding of performance, profiling, and optimization
Experience working in the Unix/Linux environment
Solid knowledge of Computer Science fundamentals including data structures and algorithms
Experience working with CI/CD, Kubernetes, Airflow, Spring (boot) framework an advantage
Passionate about problem solving with excellent communication and team-work skills
B.Sc. in Computer Science or Computer Engineering

Requirements:
5+ years work-related industry experience using Java/Scala/Python
Experience with Big Data technologies: Hadoop, Spark, Elasticsearch (ELK), Flink, Kafka and similar an advantage
Experience building and deploying large scale, low-latency data processing systems
Excellent understanding of performance, profiling, and optimization
Experience working in the Unix/Linux environment
Solid knowledge of Computer Science fundamentals including data structures and algorithms
Experience working with CI/CD, Kubernetes, Airflow, Spring (boot) framework an advantage
Passionate about problem solving with excellent communication and team-work skills
B.Sc. in Computer Science or Computer Engineering

Requirements:
3+ years of hands-on experience in Java (must)
Experience with Microservices architecture
Proven experience in building high-scale services
Experience with SQL and NoSQL database systems (MySQL, Aurora, MongoDB, Redis, etc.)
Strong understanding of developer testing (unit, component, integration, and e2e tests)
A team player with a strong sense of ownership and a can-do attitude
Independent, responsible, and communicative, thriving in a hybrid work mode
Nice to have
Familiarity with AWS Cloud and Kubernetes (advantage)
Experience with Queuing technologies like Kafka and RabbitMQ (advantage)
Experience in Financial industries - FinTech (strong advantage).

Requirements:
At least 10+ years of hands-on software development experience must.
At least 2 years of experience as a Software Architect /or as a Principal Engineer must.
Proven experience in designing large-scale, high-availability systems with complex architecture and high traffic volumes must.
Experience in .NET and C# programming must.
Experience with Microsoft SQL Server and T-SQL development
Significant experience with relational database design and internals
Proven experience leading technical teams and driving end-to-end delivery of complex software projects, Proven experience in leading software projects and development teams must.
Strong background in designing scalable, secure, and high-performance software and data systems
Experience with cloud services and architectures (AWS preferred) must
Familiarity with database design and implementation, including both relational and NoSQL databases
Strong knowledge of software development lifecycle, best practices, and modern development methodologies
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Experience with operating systems (Windows, Linux)
Experience with scripting languages such as PowerShell and Python
Analytical mind with excellent problem-solving skills
Self-taught, quick learner of new technologies
Nice to have:
BSc in Computer Science, Engineering or Mathematics.
Hands on experience with data analysis of large and complex data sets using NOSQL, Elasticsearch and/or Snowflake
Cyber Security or Information Security background.
Experience with enterprise level release & change management processes.
Experience with Machine learning
Experience in the fintech industry ideally from companies operating in payments, banking, or financial platforms
Frontend development background a plus (Vue.js, React, Angular)
Hands-on experience with NoSQL technologies (Redis is a significant advantage)
Experience working with Snowflake or other cloud-based data warehousing solutions a significant advantage
Familiarity with containerized environments and cloud infrastructure (preferably AWS)
Exposure to AI-related technologies, including MCP servers or tools like GitHub Copilot (MCP experience is a plus).

Requirements:
What you have:
3+ years of development experience with a passion for excellence.
Strong server-side engineering skills.
Experience with high throughput, low latency, mission-critical distributed systems.
Experience with large-scale production databases.
B.Sc. in computer science or an equivalent.
A drive to get things done, especially as part of a team.
Ability to quickly adapt to changes and desire to learn and grow.
Appreciation for best practices and an itch to raise and act on ideas for improvement.

Bonus points:
Experience in functional programming.
Recommended by our employee.

Requirements:
What you have:
5+ years of development experience with a passion for excellence.
Experience in data engineering with a focus on Apache Spark.
Experience in server-side engineering.
Experience in programming languages such as Node.js, Scala, Go.
B.Sc. in computer science or an equivalent.
Excellent collaboration and teamwork skills.
A proactive, problem-solving mindset with a passion for learning and tackling new challenges.

Bonus points:
Experience with data orchestration tools like Airflow.
Familiarity with AWS services such as SQS, EMR, RDS, S3.
Recommended by our employee.

Requirements:
4+ years of experience in backend development
2+ years or more in Node.js - Advantage
2+ years of experience with Kafka/equivalent queue broker
Experience in relational databases - Advantage
Experienced with Kubernetes/Docker - Advantage
Deep knowledge of event driven and microservices architectures - Advantage
Deep understanding with TypeScript - Advantage.