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.

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