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AI Summary

You will be responsible for managing, automating, and scaling cloud infrastructure while ensuring high availability and performance. You will also collaborate with development teams to streamline CI/CD pipelines and resolve infrastructure incidents.

Who we are

Blackbird Lab is a software development company. While we are practicing an international working culture, we are proud representatives of Ukrainian values and traditions. We are a team of 90+ energetic, curious, smart, and open to new challenges tech pros who prefer efficient async communication, flexible working hours, a co-working office model, etc.

Being in this craft for 8+ years, we managed to accumulate expertise and bring value to a number of clients. We cooperate with US and Canadian product companies of different sizes, from small startups to established products, in close, trusted relationships.

All team members, including management, have an engineering background. The process, participants who speak the same language and have a similar approach based on technical principles, is always efficient. It is way easier to make decisions and introduce new features in a team with engineering at heart. It is the technical DNA that lets us build high-quality products that facilitate the lives of our customers’ users.

Position & client

Our client is a dynamic and rapidly growing Adtech e-commerce platform, built for merchants to generate incremental revenue with performance marketing and AI tooling to improve their shopping campaigns. Furthermore, Shoparize is revolutionizing the way people shop online. Our platform aggregates product listings from various retailers, providing users with a seamless and comprehensive shopping experience.

Who we are looking for

We are seeking a Senior DevOps Engineer to join our dynamic team. In this role, you will be responsible for managing, automating, and enhancing our infrastructure, with a focus on optimizing and scaling our applications. You will work closely with the development team to ensure smooth deployment processes, monitor system performance, and maintain a high level of system reliability. If you're passionate about cloud infrastructure, automation, and have a proactive approach to problem-solving, this role is for you.

What you will do
  • Manage and deploy containerized applications using Kubernetes in production environments.

  • Work within AWS infrastructure (EC2, VPC, S3, IAM) to ensure scalability, reliability, and cost efficiency.

  • Implement, maintain, and improve monitoring and alerting systems to guarantee high availability and performance.

  • Collaborate closely with development teams to streamline CI/CD pipelines and optimize deployment workflows.

  • Troubleshoot infrastructure and application issues, ensuring fast incident resolution.

  • Continuously improve infrastructure automation and operational best practices.

What you will need
  • 5+ years of experience in DevOps or Site Reliability Engineering (SRE) roles.

  • Experience supporting production systems with high availability requirements.

  • Proactive mindset and strong ownership of infrastructure reliability.

  • Strong hands-on experience with Kubernetes for container orchestration and deployments.

  • Solid understanding of AWS services, especially EC2, VPC, S3, and IAM.

  • Practical experience managing EC2 instances, including performance tuning and cost optimization.

  • Experience with monitoring and observability tools such as Prometheus, Grafana, and AWS CloudWatch.

  • Knowledge of scripting languages (Python, Bash) for automation and operational tasks.

  • Strong troubleshooting skills and ability to work both independently and in a team environment.

Nice to have
  • Familiarity with GitOps practices for continuous delivery and infrastructure automation.

  • Experience using Terraform or other Infrastructure-as-Code tools.

  • Advanced knowledge of Grafana, including building custom dashboards and visualizations.

  • Experience managing AWS RDS instances.

  • Familiarity with the Elastic Stack (ElasticSearch, Kibana, Elastic Cloud).

  • Experience with AWS OpenSearch for search and analytics use cases.

Stack of the project
  • Cloud: AWS (EC2, VPC, S3, IAM, RDS, OpenSearch)

  • Containerization & Orchestration: Kubernetes

  • CI/CD: Git-based pipelines, GitOps practices

  • Monitoring & Alerting: Prometheus, Grafana, CloudWatch

  • Search & Analytics: ElasticSearch, Kibana, Elastic Cloud

  • Automation & IaC: Terraform

  • Scripting: Python, Bash

Interview process
  • HR interview (30 min)

  • Intro call with a client (15–30 min)

  • Technical interview (60–90 min)

  • Final interview with stakeholders / management (30 min)

Benefits

We are all for the self-development of each team member. As a part of our team, you’ll be supported in your professional growth, work on Macs, receive certifications, and visit conferences. On top of that, you will enjoy an attractive social package, including

  • Сompetitive monthly compensation

  • Flexible working schedule

  • Working remotely

  • 18 paid vacation working days

  • Paid sick leave (with 5 undocumented days per year)

  • Health support with medical insurance or sports programs

  • English lessons, sports activities, and charity events

  • Full support of Private Entrepreneur reporting services (ФОП)

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