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Veriforce · 1 day ago

DevOps Engineer

United States

Full-time

Remote

Mid Level

3+ years exp

Veriforce is seeking a DevOps Engineer to be a key member of the software development team, working to deploy, monitor, and operate software across key production systems. The role focuses on enhancing user experience and customer satisfaction while utilizing modern tools and practices in an agile environment.

ComplianceComputerInsuranceSoftware

Responsibilities

Provide technical thought leadership in collaboration with Architecture and Engineering

Design, implement, and maintain infrastructure as code (IaC) for development, UAT, and production environments. Ability to leverage AI coding assistance (i.e. Copilot)

Design, implement and maintain observability and monitoring solutions and monitor the system health, taking action to maintain up-time and performance SLAs, including on-call rotation

Design, implement, and maintain continuous integration (CI) and delivery (CD) systems and advise development teams on code and implementation to increase application resiliency, operability, and best practices. AI assisted coding will be leveraged wherever possible

Management of containerized workloads. Deploying application servers hosting APIs and Model Context Protocol (MCP) servers and clients

Design, implement, and maintain Kubernetes clusters with advanced configuration and features

Design, implement, and maintain Kafka clusters with advanced configuration and features

Identify points of failure with ability to recommend and implement solutions in our infrastructure

Qualification

AWSKubernetesInfrastructure as CodeCI/CDKafkaAnsibleLinuxWindowsCommunication skillsTeam collaboration

Required

Bachelor's degree (B.A. or B.S.) preferable

3+ relevant experience in Dev Ops in a SaaS environment

Expertise in distributed systems including load balancing, data storage, distributed messaging, and distributed databases

Expertise in software configuration management (SCM) and tools like Chef, Puppet, Ansible or similar

Expertise in cloud platforms, primarily AWS

Expertise in AWS PaaS tools: ECS, EKS, EC2, VPC, ELBs, S3, WAF, Parameter Store, SNS, SQS, SES, IAM, Lambda, CloudWatch, CloudFront, and more

Experience with managing infrastructure via IaC. Usage of AI agent assistance (i.e. Copilot) is a strong plus

Experience with source controls systems (i.e. GitHub, Bitbucket) and IaC collaboration tools

Experience configuring and administering Kubernetes clusters using advanced features including non-standard networking, storage classes/claims, name spacing, and multiple node groups

Experience configuring and administering Kafka clusters including disaster recovery mechanisms, data loss prevention techniques, and determining topic configuration to right size for demanding and variable loads

Experience with Windows and Linux systems and tools

Prior professional application development experience with a particular focus on SaaS applications and web development

Knowledge of IP networking, including TCP, UDP, firewalls, SSL

Knowledge of software engineering and design principles such as design patterns, architectural patterns, CAP Theorem, event driven architecture, and similar

Must be security-minded at all levels and adhere to the principal of least privilege

Excellent communication and team collaboration skills with ability to approach and describe problems in a structured way and find reliable solutions