Senior DevOps Engineer
Ukraine
Inoxoft is looking for a DevOps Engineer to support cloud infrastructure, improve delivery workflows, and help development teams build and run reliable services. You will work closely with an in-house engineering team in a fast-moving, cloud-native environment. This role combines hands-on infrastructure work with ownership, proactive communication, and a focus on helping developers move forward.
Responsibilities:
- Maintain and improve AWS infrastructure and production Kubernetes environments.
- Manage infrastructure through IaC and GitOps practices.
- Maintain and enhance CI/CD pipelines to support reliable software delivery.
- Develop monitoring dashboards, alerts, and runbooks, and troubleshoot infrastructure and deployment issues.
- Support development teams with infrastructure requests and follow through until issues are resolved.
- Identify opportunities to improve reliability, reduce manual work, and optimize cloud costs.
- Use AI tools and automation to simplify daily operations and improve engineering workflows.
- Communicate progress, blockers, and risks clearly, taking ownership of work from implementation through production operation.
Requirements:
- 4+ years of hands-on experience in cloud environments, ideally within startups or scale-ups serving large enterprise customers.
- Strong production experience with Kubernetes, including workload management, networking, and troubleshooting.
- Practical experience with AWS, particularly EKS, RDS, MSK, SQS/SNS, and Lambda.
- Experience with Infrastructure as Code tools such as Terraform or Pulumi, and GitOps tools such as ArgoCD or Flux.
- Ability to maintain, extend, and troubleshoot CI/CD pipelines independently.
- Working knowledge of observability platforms such as Datadog, Groundcover, Grafana, or Coralogix, including alerts, dashboards, and runbooks.
- Basic understanding of FinOps and cloud cost optimization.
- Familiarity with some of the following: GitHub Actions, Apache Kafka, MongoDB, Redis, or SingleStore.
- Active use of AI tools to automate routine tasks, improve productivity, and identify opportunities for AI-assisted workflows.
- Strong spoken and written English for team discussions, asynchronous communication, and technical documentation.
Benefits:
- Flexible working hours;
- 25 paid days off and 10 sick/medical leaves;
- Additional paid days off for personal events like marriage and childbirth;
- Maternity/Paternity leaves;
- Skills Evaluations and promotions are based on Corporate Matrix;
- Discount program;
- Self-development budget per year;
- Referral bonuses;
- Corporate events and gifts;
- Learning events and mentorship opportunities;
- Speaking Clubs;
- PE accounting and support.