Senior DevOps Engineer

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.

MAIN BENEFITS:

• Flexible working hours.

• 25 paid days off and 10 sick/medical leaves.

• Additional paid days off for personal events.

• Maternity/Paternity leaves.

• Medical insurance.

• Self-development budget.

• Referral bonuses.

• Corporate events and gifts.

• Speaking Clubs.

• PE accounting and support.

INTERVIEW PROCESS:

• Welcome Interview.

• Technical Interview.

• Culture-fit Interview.

• Client Interview.

• Reference check.