Cloud and Automation Engineer

DivIHN Integration•Chicago, IL

1d•Hybrid

About The Position

The Cloud and Automation Engineer will join the Cloud and Infrastructure team, which owns and operates Azure, on-premises hyperconverged infrastructure, networking, and telephony. The team is expanding coverage across its platforms and moving work from manual support toward engineering, automation, and self-service. The role works across cloud and on-premises environments and requires understanding the dependencies among infrastructure, identity, networking, and applications. The engineer will collaborate with engineering, security, and business partners in cross-functional squads and help mature the team's practices. The position follows a hybrid schedule, with office presence expected two days per week. Candidates must be eligible for W2 employment; third-party and C2C candidates are not considered.

Requirements

5–10 years of demonstrated experience integrating and automating infrastructure using infrastructure-as-code approaches in a public cloud, preferably Azure, and in a virtualized or hyperconverged on-premises environment.
Experience with Terraform and Ansible, ideally applied in an Azure environment.
A solution-oriented systems engineering mindset, commitment to continuous improvement, and ability to work effectively across teams.
A track record of solving problems across multiple layers of the stack rather than within a single platform or tool.
Experience in cross-functional or squad-based delivery models, partnering with engineers, architects, and business stakeholders.
Strong grounding in systems and cloud engineering principles, including availability, scalability, security, cost, and operability, and ability to reason about trade-offs.
A builder's mindset, with a preference for automating and codifying solutions over repeated manual work.
Ability to optimize and re-engineer processes rather than simply automate existing processes unchanged.
Comfort operating across hybrid environments and understanding how workload placement affects cost, performance, resiliency, and support burden.
Strong troubleshooting skills and ability to identify root causes across interdependent systems.
Clear written and verbal communication, including the ability to document designs and standards for other engineers.
Willingness and ability to learn new platforms, tools, and practices as the environment evolves.
Good judgment about when to build, buy, or simplify rather than automate unnecessary complexity.
A reuse- and security-first mindset that accounts for user and developer experience.

Nice To Haves

Exposure to identity and access management, networking, or telephony systems in addition to core infrastructure.
Experience contributing to architecture decisions or documentation, such as ADRs.
Familiarity with reducing reliance on outsourced managed services through internal automation and tooling.
Experience in a highly regulated financial services environment, including familiarity with related risk, compliance, and change-control expectations.

Responsibilities

Design, build, and operate infrastructure across Azure and on-premises hyperconverged environments using consistent engineering principles.
Automate provisioning, configuration, and operational tasks using infrastructure-as-code practices to reduce repetitive manual work.
Partner with cross-functional squads to translate business and application requirements into resilient, secure, and maintainable infrastructure designs.
Co-design systems and platforms with application developers, favoring immutable infrastructure that can be consistently rebuilt from code.
Help evolve the hybrid cloud strategy, including workload placement between the private data center and Azure, and build automation for portable, consistently managed workloads.
Troubleshoot and resolve complex issues spanning cloud, virtualization, storage, networking, and identity.
Establish and document standards, patterns, and runbooks that reduce tribal knowledge and improve supportability.
Embed SRE principles and engineering practices, emphasizing measurable reliability, proactive detection, and repeatable processes.
Identify work that can be insourced from external managed-service partners and build the automation and monitoring needed to support it internally.
Help shift from bespoke, manually managed infrastructure toward aaS models and reusable, codified platforms.
Participate in an on-call rotation and incident response, contributing to root-cause analysis and durable fixes.
Stay current with cloud, virtualization, and automation practices and share new approaches with the team.