Gemicle

We are looking for a  Senior/Str Middle .Net developer to join a product engineering team and work on the modernization and scalability of a large-scale backend platform.

You’ll be working with distributed systems, event-driven architecture, microservices, and real-time data processing, helping migrate legacy components to modern, cloud-ready services.

What you’ll do

• Develop and maintain containerized .NET Core microservices.
• Build event-driven communication and streaming flows using Kafka, RabbitMQ, and MassTransit.
• Design scalable solutions together with product and engineering teams.
• Drive migration from legacy .NET Framework and MSMQ components to modern services.
• Work with both relational and NoSQL databases.
• Participate in architecture and design reviews.
• Apply Domain-Driven Design and clean code principles.
• Improve system reliability, scalability, and performance.

• Mentor less experienced engineers and contribute to engineering best practices.

   

What we’re looking for

• 5 - 8+ years of backend development experience.
• Strong commercial experience with C# and .NET Core/.NET Framework.
• Kafka and RabbitMQ — mandatory.
• Solid understanding of microservices, distributed systems, and event-driven architecture.
• Experience with MSSQL, PostgreSQL, MongoDB, and Redis.
• Experience designing and working with APIs.
• Understanding of security practices such as OAuth2, JWT, and secrets management.
• Strong debugging, profiling, and performance optimization skills.
• Experience with testing, clean code, and continuous improvement.
• Strong communication skills and a proactive approach.

• Ability and willingness to mentor other developers.

   

Nice to have

• AWS — ECS/EKS, Lambda, RDS, S3, CloudWatch.
• MassTransit or similar orchestration libraries.
• Experience with infrastructure and cloud-native systems.
• MSMQ and legacy system migration experience.
• CI/CD, Docker, and Infrastructure as Code.
• JavaScript/React for cross-layer collaboration.

We are looking for a Senior Software Engineer to join a product engineering team and work on the modernization and scalability of a large-scale backend platform.

You’ll be working with distributed systems, event-driven architecture, microservices, and real-time data processing, helping migrate legacy components to modern, cloud-ready services.

What you’ll do

• Develop and maintain containerized .NET Core microservices.
• Build event-driven communication and streaming flows using Kafka, RabbitMQ, and MassTransit.
• Design scalable solutions together with product and engineering teams.
• Drive migration from legacy .NET Framework and MSMQ components to modern services.
• Work with both relational and NoSQL databases.
• Participate in architecture and design reviews.
• Apply Domain-Driven Design and clean code principles.
• Improve system reliability, scalability, and performance.

• Mentor less experienced engineers and contribute to engineering best practices.

   

What we’re looking for

• 8+ years of backend development experience.
• Strong commercial experience with C# and .NET Core/.NET Framework.
• Kafka and RabbitMQ — mandatory.
• Solid understanding of microservices, distributed systems, and event-driven architecture.
• Experience with MSSQL, PostgreSQL, MongoDB, and Redis.
• Experience designing and working with APIs.
• Understanding of security practices such as OAuth2, JWT, and secrets management.
• Strong debugging, profiling, and performance optimization skills.
• Experience with testing, clean code, and continuous improvement.
• Strong communication skills and a proactive approach.

• Ability and willingness to mentor other developers.

   

Nice to have

• AWS — ECS/EKS, Lambda, RDS, S3, CloudWatch.
• MassTransit or similar orchestration libraries.
• Experience with infrastructure and cloud-native systems.
• MSMQ and legacy system migration experience.
• CI/CD, Docker, and Infrastructure as Code.
• JavaScript/React for cross-layer collaboration.

ll partner with engineering teams globally to improve the reliability, scalability, and operational excellence of our cloud platform.
As a Senior SRE, you'll lead engineering-driven reliability initiatives by building automation, improving deployment processes, advancing observability, and driving operational excellence across our production environment.

Responsibilities
 

• Reliability Engineering – Design and implement solutions that improve the reliability, availability, and scalability of our production platform while proactively identifying and eliminating operational risks.
• Automation & Platform Engineering – Build internal tools and automation that eliminate manual operational work, improve engineering productivity, and streamline production workflows.
• Observability – Improve monitoring, alerting, dashboards, and production visibility while driving initiatives that reduce alert fatigue, improve incident detection, and strengthen operational insights.
• Production Rollouts – Design, improve, and support production deployment processes using modern release strategies such as Canary, Blue/Green, and Feature Flags to ensure safe and reliable releases.
• Production Reliability & Incident Response – Lead the investigation and resolution of critical production incidents, perform root cause analysis, and implement long-term preventive improvements that improve platform resilience and reduce recurring issues.
• On-Call & Operational Excellence – Participate in the team's on-call rotation, ensuring reliable production operations. Respond to critical incidents, collaborate with engineering teams during service disruptions, and drive engineering improvements, automation, and operational best practices that reduce operational toil and prevent future incidents.
• Cloud & Infrastructure – Design, maintain, and improve our Kubernetes-based cloud platform, CI/CD pipelines, and production infrastructure running on GCP and AWS.
• Engineering Partnership – Collaborate closely with Software Engineers, DevOps, DBAs, and Product teams to improve reliability across the software development lifecycle and promote SRE best practices.
   

Requirements
 

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or Infrastructure Engineering.
• Hands-on experience operating Kubernetes in production environments.
• Strong experience working with public cloud platforms (GCP or AWS).
• Strong programming and scripting skills (Python preferred; Go or Bash are a plus).
• Experience designing and building automation and internal engineering tools.
• Experience working with CI/CD pipelines and modern deployment methodologies.
• Hands-on experience with observability platforms such as Datadog, Prometheus, or Grafana.
• Strong understanding of Linux, networking, distributed systems, and cloud-native architectures.
• Excellent troubleshooting, debugging, and root cause analysis skills.
• Strong communication skills and experience collaborating with globally distributed engineering teams.
   

Advantages
 

• Experience with Infrastructure as Code (Terraform, Ansible, etc.).
• Experience with messaging and distributed technologies such as Kafka, Pub/Sub, or Redis.
• Experience supporting modern deployment strategies such as Canary, Blue/Green, or Feature Flags.
• Familiarity with OpenTelemetry and modern observability tooling.
• Understanding of Site Reliability Engineering principles, including SLIs, SLOs, and error budgets.
• Experience working in large-scale SaaS production environments.
• Relevant cloud or Kubernetes certifications (GCP, AWS, CKA, CKAD).
  
  Why Join Us?
  Join a team where Site Reliability Engineering is treated as an engineering discipline—not just an operations function. You'll work on large-scale cloud infrastructure serving enterprise customers while building automation, improving observability, and enabling engineering teams to deliver software safely and reliably.
• You'll collaborate with a global SRE organization using modern cloud-native technologies, Kubernetes, distributed systems, and large-scale SaaS workloads. You'll have the opportunity to lead impactful reliability initiatives, influence engineering best practices, and solve complex production challenges that directly improve the experience of both customers and engineering teams.

Are you passionate about building reliable, scalable, and highly available production systems? Do you enjoy solving complex engineering challenges through automation, observability, and software engineering?
Optimove is looking for a Senior Site Reliability Engineer (SRE) to join our global SRE organization. In this role, you'll partner with engineering teams globally to improve the reliability, scalability, and operational excellence of our cloud platform.
As a Senior SRE, you'll lead engineering-driven reliability initiatives by building automation, improving deployment processes, advancing observability, and driving operational excellence across our production environment.

Responsibilities
 

• Reliability Engineering – Design and implement solutions that improve the reliability, availability, and scalability of our production platform while proactively identifying and eliminating operational risks.
• Automation & Platform Engineering – Build internal tools and automation that eliminate manual operational work, improve engineering productivity, and streamline production workflows.
• Observability – Improve monitoring, alerting, dashboards, and production visibility while driving initiatives that reduce alert fatigue, improve incident detection, and strengthen operational insights.
• Production Rollouts – Design, improve, and support production deployment processes using modern release strategies such as Canary, Blue/Green, and Feature Flags to ensure safe and reliable releases.
• Production Reliability & Incident Response – Lead the investigation and resolution of critical production incidents, perform root cause analysis, and implement long-term preventive improvements that improve platform resilience and reduce recurring issues.
• On-Call & Operational Excellence – Participate in the team's on-call rotation, ensuring reliable production operations. Respond to critical incidents, collaborate with engineering teams during service disruptions, and drive engineering improvements, automation, and operational best practices that reduce operational toil and prevent future incidents.
• Cloud & Infrastructure – Design, maintain, and improve our Kubernetes-based cloud platform, CI/CD pipelines, and production infrastructure running on GCP and AWS.
• Engineering Partnership – Collaborate closely with Software Engineers, DevOps, DBAs, and Product teams to improve reliability across the software development lifecycle and promote SRE best practices.
   

Requirements
 

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or Infrastructure Engineering.
• Hands-on experience operating Kubernetes in production environments.
• Strong experience working with public cloud platforms (GCP or AWS).
• Strong programming and scripting skills (Python preferred; Go or Bash are a plus).
• Experience designing and building automation and internal engineering tools.
• Experience working with CI/CD pipelines and modern deployment methodologies.
• Hands-on experience with observability platforms such as Datadog, Prometheus, or Grafana.
• Strong understanding of Linux, networking, distributed systems, and cloud-native architectures.
• Excellent troubleshooting, debugging, and root cause analysis skills.
• Strong communication skills and experience collaborating with globally distributed engineering teams.
   

Advantages
 

• Experience with Infrastructure as Code (Terraform, Ansible, etc.).
• Experience with messaging and distributed technologies such as Kafka, Pub/Sub, or Redis.
• Experience supporting modern deployment strategies such as Canary, Blue/Green, or Feature Flags.
• Familiarity with OpenTelemetry and modern observability tooling.
• Understanding of Site Reliability Engineering principles, including SLIs, SLOs, and error budgets.
• Experience working in large-scale SaaS production environments.
• Relevant cloud or Kubernetes certifications (GCP, AWS, CKA, CKAD).
  
  Why Join Us?
  Join a team where Site Reliability Engineering is treated as an engineering discipline—not just an operations function. You'll work on large-scale cloud infrastructure serving enterprise customers while building automation, improving observability, and enabling engineering teams to deliver software safely and reliably.
• You'll collaborate with a global SRE organization using modern cloud-native technologies, Kubernetes, distributed systems, and large-scale SaaS workloads. You'll have the opportunity to lead impactful reliability initiatives, influence engineering best practices, and solve complex production challenges that directly improve the experience of both customers and engineering teams.

We are a fast-growing AI-powered SaaS company serving thousands of customers across more than 140 countries and helping millions of users improve productivity every day. Our innovative Service Management platform is transforming how organizations operate worldwide.

We’re looking for a tech-savvy Product Manager to drive the next wave of innovation in our AI-powered platform. In this role, you’ll act as the bridge between engineering teams and customers, ensuring our products not only meet technical requirements but also deliver exceptional value and user experience.

What you will do:
 

• Develop and manage the product roadmap, working with engineering, design, sales, and customer success.
• Lead the full product lifecycle: research, planning, specs, launch, and iteration.
• Talk to customers and analyze usage data to understand needs and pain points.
• Prioritize features and improvements based on business goals and user impact.
• Write clear specs and user stories, and help guide the team through delivery.
• Stay up to date on SaaS, ITSM, and AI trends, and bring new ideas to the table.
• Measure product success and adjust plans as needed.

Requirements:
 

• 5+ years as a Product Manager, ideally in B2B SaaS with a large user base.
• Experience working with technical teams and understanding enterprise software.
• Comfortable working with AI/ML or data-driven products.
• Strong communication skills- you can explain complex topics simply.
• Experience with agile product development and cross-team collaboration.
• An analytical mindset: You use data to make decisions.
• Bachelor’s degree in Computer Science, Engineering, Business, or relevant experience.