11/12/2026 updated
100 % available
Senior Platform & Backend Engineer | Kubernetes | Golang | Cloud-Native | CKA & Terraform Certified
Sofia, Bulgaria
Only remote
Bachelor Degree in Information TechnologyCloud-Native & Kubernetes Engineering
Expertise in designing and operating custom Kubernetes Operators, Docker, Helm, Kustomize, and Istio Service Mesh for multi-cloud and private cloud environments, including CKA certification (The Linux Foundation, 2026-2028).
Backend & Distributed Systems Development
Strong background in building high-throughput microservices and distributed systems using Golang (Gin, Echo, sqlboiler, swaggo, Kubebuilder, Ginkgo/Gomega) and Java (Spring Core/Boot, Spring Security, Spring Batch, Spring Web, Hibernate, JUnit, Zookeeper), applying gRPC, Protobuf, REST, SOAP, Domain-Driven Design, Clean Code, and TDD/E2E testing.
Cloud Infrastructure & IaC
Proficiency in Terraform (HashiCorp Certified Terraform Associate, 2024), AWS (VPC, EKS, ECS, EC2, S3, RDS, Lambda, IAM, ECR, DynamoDB), GCP (GKE, Cloud Run, BigQuery, GCS), ArgoCD, GitHub Actions, GitLab CI, CircleCI, Jenkins, Prometheus, Grafana, Datadog, PagerDuty/AlertManager, ELK, and Splunk.
Data & Messaging Platforms
Hands-on experience with Apache Cassandra, Astra Serverless, CockroachDB, PostgreSQL, MySQL, MariaDB, DynamoDB, Kafka, NATS, RabbitMQ, Apache Spark, and Apache Flink for data storage, streaming, and messaging.
Real-Time Stream Processing
Practical experience engineering production-grade real-time streaming pipelines using Apache Flink, including transitioning proof-of-concept workloads to resilient, high-throughput data platform solutions.
API Design & Integration
Design and delivery of public and internal REST and gRPC APIs for platform provisioning, cluster lifecycle management, and self-service management consoles, including Terraform and CI/CD integration.
Big Data Engineering
Knowledge of distributed data processing patterns using the Spark/Hadoop ecosystem, applied to enterprise architecture and Big Data engineering certification from EPAM's Big Data Competency Center.
Observability & Monitoring
Implementation of comprehensive observability stacks using Prometheus, Grafana, Datadog, PagerDuty/AlertManager, ELK (Elasticsearch, Logstash, Kibana), and Splunk for production reliability and incident management.
Algorithmic & Route Optimization
Design and implementation of algorithmic route-optimization engines applying Traveling Salesman Problem heuristics and Dijkstra shortest-path algorithms for large-scale logistics and delivery platforms.
Testing & Quality Assurance
Comprehensive unit, integration, and automated E2E test suites using Ginkgo, Gomega, JUnit, and TDD/E2E methodologies to enforce high production reliability across distributed engineering teams.
Expertise in designing and operating custom Kubernetes Operators, Docker, Helm, Kustomize, and Istio Service Mesh for multi-cloud and private cloud environments, including CKA certification (The Linux Foundation, 2026-2028).
Backend & Distributed Systems Development
Strong background in building high-throughput microservices and distributed systems using Golang (Gin, Echo, sqlboiler, swaggo, Kubebuilder, Ginkgo/Gomega) and Java (Spring Core/Boot, Spring Security, Spring Batch, Spring Web, Hibernate, JUnit, Zookeeper), applying gRPC, Protobuf, REST, SOAP, Domain-Driven Design, Clean Code, and TDD/E2E testing.
Cloud Infrastructure & IaC
Proficiency in Terraform (HashiCorp Certified Terraform Associate, 2024), AWS (VPC, EKS, ECS, EC2, S3, RDS, Lambda, IAM, ECR, DynamoDB), GCP (GKE, Cloud Run, BigQuery, GCS), ArgoCD, GitHub Actions, GitLab CI, CircleCI, Jenkins, Prometheus, Grafana, Datadog, PagerDuty/AlertManager, ELK, and Splunk.
Data & Messaging Platforms
Hands-on experience with Apache Cassandra, Astra Serverless, CockroachDB, PostgreSQL, MySQL, MariaDB, DynamoDB, Kafka, NATS, RabbitMQ, Apache Spark, and Apache Flink for data storage, streaming, and messaging.
Real-Time Stream Processing
Practical experience engineering production-grade real-time streaming pipelines using Apache Flink, including transitioning proof-of-concept workloads to resilient, high-throughput data platform solutions.
API Design & Integration
Design and delivery of public and internal REST and gRPC APIs for platform provisioning, cluster lifecycle management, and self-service management consoles, including Terraform and CI/CD integration.
Big Data Engineering
Knowledge of distributed data processing patterns using the Spark/Hadoop ecosystem, applied to enterprise architecture and Big Data engineering certification from EPAM's Big Data Competency Center.
Observability & Monitoring
Implementation of comprehensive observability stacks using Prometheus, Grafana, Datadog, PagerDuty/AlertManager, ELK (Elasticsearch, Logstash, Kibana), and Splunk for production reliability and incident management.
Algorithmic & Route Optimization
Design and implementation of algorithmic route-optimization engines applying Traveling Salesman Problem heuristics and Dijkstra shortest-path algorithms for large-scale logistics and delivery platforms.
Testing & Quality Assurance
Comprehensive unit, integration, and automated E2E test suites using Ginkgo, Gomega, JUnit, and TDD/E2E methodologies to enforce high production reliability across distributed engineering teams.
Experience
Professional experience10+ years
Freelancer since2018
Languages
EnglishFluent
Project history
Architected and maintained core control-plane functionalities for automated creation, scaling, and lifecycle administration of Classic Apache Cassandra and Astra Serverless DBaaS across multi-cloud and private cloud environments. Designed and shipped high-throughput public Go REST/gRPC APIs for Terraform/CI provisioning and internal backend APIs. Spearheaded the end-to-end architectural rewrite of the customer billing and usage-metering engine. Enforced high production reliability through comprehensive unit, integration, and automated E2E test suites using Ginkgo and Gomega. Tech Stack: Golang, Kubernetes (Operators, Kubebuilder), Apache Cassandra, Astra Serverless, gRPC, REST, Terraform, AWS, GCP, Docker, Helm, Ginkgo/Gomega.
Engineered high-availability backend microservices in Go and Java for a cloud-native, multi-cloud payment technology platform processing mission-critical UK/EU financial transactions. Owned key features within the event-driven payments subscription and notification service. Executed targeted performance engineering and latency optimizations across distributed CockroachDB/PostgreSQL data access layers and NATS messaging pipelines. Tech Stack: Golang, Java, Kubernetes, Terraform, AWS, GCP, CockroachDB, PostgreSQL, NATS.
Built and scaled backend microservices in Go for a global transit-tech platform, collaborating across US East Coast (NYC) and international engineering teams. Engineered real-time driver notification and routing services supporting the NYC DOE school bus transit system. Designed and implemented algorithmic route-optimization engines for a major Japanese logistics and package delivery client using TSP heuristics and Dijkstra's shortest-path algorithms. Tech Stack: Golang, GCP (Cloud Run, GKE), AWS, Kubernetes, CockroachDB, PostgreSQL, GitLab CI/CD.