DevOps Platform and Infrastructure Engineer - Solvonex

OpenTalent; Indianapolis (IN); On-site; USD 120,000 - 160,000; Full time

Job summary

Solvonex, an Indianapolis-based managed IT and enterprise technology provider, is seeking an engineer who can ship software, operate cloud infrastructure, and manage business systems in a fast-moving team. You will work closely with the lead cloud architect, network engineer, IT service desk, and owner to deliver end-to-end solutions.

We welcome self-taught engineers, career changers, and early career professionals who can demonstrate real work, strong communication, and practical application of

Qualifications

• Experience across multiple areas: software, cloud infra, data handling.
• Ability to translate vague requirements into working software slices.
• Comfort with fast-moving, feedback-driven environment.

Responsibilities

• Application and integration engineering: connect ERP, sales systems, and Microsoft 365 integrations.
• Cloud platform and infrastructure: build and operate AWS-based infra with serverless components, ensure security and recoverability.
• Data engineering and AI integration: support data replication pipelines and AI-related integrations.

Skills

Software development

Cloud infrastructure

AWS

Terraform

Communication

Tools

Lambda

API Gateway

S3

DynamoDB

RDS

Terraform

Job description

Solvonex is an Indianapolis based managed IT and enterprise technology provider. We are a small, fast moving team where engineers own real problems end to end. Our owner is known by four words: he builds or rebuilds. If that is interesting to you, keep reading.

NOTE: No remote workers! Must live in metro Indianapolis. Fluent English. No work VISA scenarios. Must be able a US Citizen. No criminal record and can pass background and security checks.

Our flagship work right now is building a middleware solution with a practical AI layer on top. You would be building and running real infrastructure and modern solutions for a real business, not maintaining someone else’s legacy stack. This project is cool, and we more in the pipeline!

The Role

This is a full spectrum engineering seat. You will ship software, operate cloud infrastructure, administer business systems, and put hands on the network, all in the same week. The role is modeled on what our lead cloud architect does today, and you will work directly with him, our network engineer, our IT service desk, and our owner.

We are not expecting you to arrive elite on all of it. We are expecting you to be genuinely capable across most of it, honest about the rest, and fast at closing gaps. Trajectory beats tenure here. Self-taught engineers, career changers, and early career standouts are explicitly welcome if you can show us real work, great communication skills, and wisdom in how you apply your technology skills.

What You Will Do

Application and integration engineering

• Build and maintain the integrations that connect business systems: ERP, sales, cloud project management, accounting, legacy, on-premise, and Microsoft 365.
• Write real code with idempotency, retry discipline, and clean error handling, because these integrations move business data that people rely on.
• Turn fuzzy business requests into working software slices, then iterate with the people who use them.

Cloud platform and infrastructure

• Build and operate serverless first AWS infrastructure: Lambda, API Gateway, Step Functions, EventBridge, SQS and SNS, S3, DynamoDB, CloudWatch, and IAM Identity Center.
• Manage infrastructure as code with Terraform inside an AWS Control Tower and Landing Zone Accelerator environment.
• Keep environments secure, monitored, and recoverable, and treat least privilege access as the default, not the exception.

Data engineering and replication

• Support replication pipelines built on AWS DMS with change data capture, feeding read models from source systems.
• Work with field level mapping, source of truth rules, and conflict resolution, so that data means the same thing everywhere it lands.
• Administer and tune the databases behind it: RDS for SQL Server (Multi-AZ) and DynamoDB.

AI integration