Site Reliability Engineer
TypeFull-time job
LocationUkraine
Posted3 hours ago
Define and maintain SLOs, SLIs, and error budgets for critical platform services
Build and optimize CI/CD pipelines for reliable software delivery
Design and manage scalable cloud infrastructure using Infrastructure-as-Code practices
Implement monitoring, logging, tracing, and alerting solutions across the platform
Collaborate with engineering teams to embed reliability practices into the development lifecycle
Lead incident response activities and post-mortem analysis
Automate operational processes to reduce manual effort and improve efficiency
Support security and compliance initiatives for enterprise deployments
Ensure platform scalability, reliability, and high availability
Contribute to infrastructure architecture and operational strategy
4+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering
Strong hands-on experience with Kubernetes, Docker, and container orchestration
Solid experience with cloud platforms, preferably AWS
Practical experience with Terraform, Pulumi, or other Infrastructure-as-Code tools
Experience with observability and monitoring tools such as Datadog, Grafana, or Prometheus
Understanding of incident management and production operations
Knowledge of security best practices and enterprise compliance standards
Experience with Python or Go for scripting and automation
Strong communication and collaboration skills
Upper-Intermediate English level
We at Sigma Software are looking for a Site Reliability Engineer to join an ambitious AI-driven biotech project focused on improving pharmaceutical manufacturing efficiency and accessibility to life-saving medicines.
In this role, you will help build and scale a cloud-native platform used by enterprise biotech and pharmaceutical companies. You will contribute to reliability engineering practices, cloud automation, observability, security, and operational excellence in a fast-growing startup environment.
As a company, we offer the chance to work on impactful products, influence engineering decisions from an early stage, and collaborate with international teams solving complex technical challenges.
CUSTOMER
Our customer is an innovative biotech platform company operating at the intersection of artificial intelligence and life sciences. The company develops AI-powered solutions that help pharmaceutical and biotech organizations optimize manufacturing processes, reduce operational waste, and improve production efficiency. Their mission is to make life-saving drugs more accessible and affordable through modern AI technologies and scalable engineering solutions.
PROJECT
The project focuses on building and scaling a cloud-native AI platform designed for enterprise pharmaceutical and biotech Customers. The platform supports critical AI-driven workflows and requires high standards of reliability, scalability, observability, and security.
As a founding Site Reliability Engineer, you will play a key role in establishing infrastructure best practices, implementing automation, improving system resilience, and supporting enterprise-grade deployments. The environment combines startup agility with enterprise-scale engineering challenges.
Originally posted on Himalayas
Build and optimize CI/CD pipelines for reliable software delivery
Design and manage scalable cloud infrastructure using Infrastructure-as-Code practices
Implement monitoring, logging, tracing, and alerting solutions across the platform
Collaborate with engineering teams to embed reliability practices into the development lifecycle
Lead incident response activities and post-mortem analysis
Automate operational processes to reduce manual effort and improve efficiency
Support security and compliance initiatives for enterprise deployments
Ensure platform scalability, reliability, and high availability
Contribute to infrastructure architecture and operational strategy
4+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering
Strong hands-on experience with Kubernetes, Docker, and container orchestration
Solid experience with cloud platforms, preferably AWS
Practical experience with Terraform, Pulumi, or other Infrastructure-as-Code tools
Experience with observability and monitoring tools such as Datadog, Grafana, or Prometheus
Understanding of incident management and production operations
Knowledge of security best practices and enterprise compliance standards
Experience with Python or Go for scripting and automation
Strong communication and collaboration skills
Upper-Intermediate English level
We at Sigma Software are looking for a Site Reliability Engineer to join an ambitious AI-driven biotech project focused on improving pharmaceutical manufacturing efficiency and accessibility to life-saving medicines.
In this role, you will help build and scale a cloud-native platform used by enterprise biotech and pharmaceutical companies. You will contribute to reliability engineering practices, cloud automation, observability, security, and operational excellence in a fast-growing startup environment.
As a company, we offer the chance to work on impactful products, influence engineering decisions from an early stage, and collaborate with international teams solving complex technical challenges.
CUSTOMER
Our customer is an innovative biotech platform company operating at the intersection of artificial intelligence and life sciences. The company develops AI-powered solutions that help pharmaceutical and biotech organizations optimize manufacturing processes, reduce operational waste, and improve production efficiency. Their mission is to make life-saving drugs more accessible and affordable through modern AI technologies and scalable engineering solutions.
PROJECT
The project focuses on building and scaling a cloud-native AI platform designed for enterprise pharmaceutical and biotech Customers. The platform supports critical AI-driven workflows and requires high standards of reliability, scalability, observability, and security.
As a founding Site Reliability Engineer, you will play a key role in establishing infrastructure best practices, implementing automation, improving system resilience, and supporting enterprise-grade deployments. The environment combines startup agility with enterprise-scale engineering challenges.
Originally posted on Himalayas
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