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.
Numbers & Facts
Location
Philadelphia, PA
Skills
AWS Lambdaunmatched
Accountingunmatched
Amazon Relational Database Service (RDS)unmatched
Amazon Web Services (AWS)unmatched
Apache Kafkaunmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
Budgetingunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cost Controlunmatched
DevOpsunmatched
English Languageunmatched
Follow Throughunmatched
GitHubunmatched
Identify Issuesunmatched
Mentoringunmatched
MongoDBunmatched
Network Administration/Managementunmatched
Operational Improvementunmatched
Operationsunmatched
Problem Solving Skillsunmatched
Production Systemsunmatched
Productivity Managementunmatched
Redisunmatched
Reliability Engineeringunmatched
Reporting Dashboardsunmatched
Simple Queue Service (SQS)unmatched
Software Administrationunmatched
Software Engineeringunmatched
Startupunmatched
Technical Writingunmatched
Writing Skillsunmatched
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