Accellor

Accellor

Accellor is a global consulting firm that aligns people, platforms, and processes to transformational goals through their Digital Continuum framework. They provide a wide range of IT/ITES services including software and web development, infrastructure ...

Internet Software & Services
251-1K
Founded 2015

Description

  • Design, develop, and maintain high-performance, modular, and scalable Java applications using Spring Boot 3.4.x.
  • Architect and implement cloud-native solutions with a focus on reliability, maintainability, observability, and distributed systems best practices.
  • Integrate observability capabilities such as metrics collection, distributed tracing, structured logging, and proactive monitoring.
  • Collaborate with cross-functional teams to deliver robust RESTful APIs and microservices.
  • Optimize application performance, memory usage, and overall system reliability.
  • Lead and mentor junior engineers through code reviews and engineering best practices.
  • Use AI coding assistants such as GitHub Copilot or similar tools to accelerate development and improve code quality.
  • Contribute to architecture and technology stack evolution, including modern Java, modularization, cloud technologies, and observability.
  • Ensure security, compliance, and observability across deployed services.
  • Participate in Agile ceremonies including planning, estimation, and retrospectives.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
  • 5+ years of hands-on Java development experience.
  • Java 11+ required; Java 21 preferred.
  • Expert knowledge of Spring Boot 3.x, Spring Cloud, and related frameworks.
  • Proven experience designing and building cloud-native applications on AWS, Azure, GCP, or similar platforms.
  • Strong understanding of RESTful API design, microservices architecture, and distributed systems.
  • Experience integrating observability tools such as OpenTelemetry, Micrometer, Prometheus, and Grafana for monitoring, logging, and tracing.
  • Experience with Docker, Kubernetes, and CI/CD pipelines.
  • Demonstrated proficiency using AI coding assistants such as GitHub Copilot, Amazon CodeWhisperer, or Tabnine in daily workflows.
  • Solid software engineering practices including modular code design, testing, version control, and code review.
  • Excellent problem-solving, analytical, and communication skills.
  • Preferred: experience with reactive programming, asynchronous processing, and modern Java concurrency features.
  • Preferred: deep familiarity with distributed tracing, log aggregation, and alerting systems.
  • Preferred: knowledge of security best practices for cloud applications.
  • Preferred: contributions to open-source projects or technical communities.

Interested in this position?

Apply directly on the company website

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