• Design, build, and operate reliable, scalable distributed systems. • Improve system availability, performance, and resilience. • Automate infrastructure, deployments, and operational processes. • Diagnose and resolve production issues. • Lead upgrades and migrations with minimal or zero downtime. • Participate in on-call rotations and incident response. • Collaborate closely with development teams to improve operability. • Drive best practices around monitoring, alerting, and capacity planning. • Reduce operational toil through automation. • Contribute to incident management, post-mortems, disaster recovery strategies, and continuous reliability improvements.

• Architect, build, and enhance CI/CD platforms on AWS to support reliable, repeatable deployments across all environments • Own and continuously improve delivery automation, including build, test, release, deployment strategies, rollbacks, approvals, and change controls • Enable engineering teams to adopt CI/CD and AWS services effectively through guidance, reusable templates, self-service patterns, and shared tooling • Design and implement Infrastructure as Code (IaC) and automation for provisioning, configuration, and operational workflows (Terraform, CloudFormation, Ansible) • Advance monitoring, observability, and incident readiness across applications and infrastructure, including metrics, logs, tracing, alerting, dashboards, and SLOs • Partner with Security to embed secure-by-default practices such as least privilege, secrets management, artifact integrity, vulnerability scanning, and policy-as-code • Troubleshoot and resolve complex issues across build pipelines, deployments, networking, and runtime environments; identify root causes and prevent recurrence • Evaluate, introduce, and standardize tools and technologies that improve platform reliability, delivery velocity, and developer experience • Lead by influence by mentoring engineers, contributing to standards, and providing technical leadership in support of the DevOps Manager’s initiatives • Document and standardize systems, runbooks, and operational processes to improve onboarding, supportability, and operational clarity

• Design and maintain secure, scalable cloud infrastructure across Azure and GCP • Build and optimise CI/CD pipelines and deployment workflows • Implement and manage Infrastructure as Code (IaC) (Terraform or similar) • Deploy and operate machine learning pipelines in production environments • Manage and scale multi-cluster GPU environments for AI workloads • Set up monitoring, logging, and alerting systems to ensure reliability • Apply cloud security best practices across infrastructure and access layers • Troubleshoot and resolve system, deployment, and performance issues • Provide hands-on IT support (user access, devices, internal systems) to ensure smooth day-to-day operations • Collaborate with engineering teams to improve scalability, performance, and automation

Role Description - Feature development — design, implement, and integrate new functionality using Java 17–21 and the Spring ecosystem; participate in architectural discussions and code reviews; - Application support & maintenance — provide ongoing support, troubleshoot production issues, and fix bugs to ensure high availability and stable performance; - Cloud deployment — manage deployment, configuration, and hosting of applications on AWS infrastructure; contribute to infrastructure improvements; - Data persistence — handle database interactions, schema design, and query optimization using MySQL and Hibernate ORM; - Build management — use Gradle and Maven for dependency management and build automation; - Technical ownership — contribute to architectural decisions, propose and evaluate technical solutions, and drive continuous improvement of the codebase. Qualifications - 5+ years of commercial Java development experience; - Deep knowledge of Java 17–21 (records, sealed classes, virtual threads, pattern matching); - Strong command of the Spring ecosystem — Spring Boot, Spring MVC, Spring Data, Spring Security; - Experience with relational databases (MySQL), query optimization, and Hibernate / JPA; - Solid AWS experience — EC2, S3, RDS, IAM, CloudWatch or equivalent services; - Proficiency with Gradle and/or Maven; - Strong understanding of REST API design and microservices architecture; - Experience writing clean, testable code with unit and integration tests (JUnit, Mockito); - Confident reading and reviewing others' code; track record of meaningful code reviews; - Upper-Intermediate English or above — comfortable in written and spoken communication with the team. Requirements - Experience with Docker and container orchestration (Kubernetes / ECS); - Familiarity with message brokers — Kafka, RabbitMQ; - Knowledge of CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI); - Exposure to reactive programming (Project Reactor, WebFlux); - Experience with monitoring and observability tools (Prometheus, Grafana, ELK); - Understanding of DDD, CQRS, or event-driven architecture patterns. Company Description Established in 1997, Softeq was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now we've expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Our superpower is to deliver all of this under one roof on a global scale. So let's get started and build a better future together!