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Contract Software Engineering Manager information

What is a contract software engineering manager?

A Contract Software Engineering Manager is a professional who leads and oversees software development teams on a contractual basis, rather than as a permanent employee. They are responsible for managing engineering projects, guiding developers, and ensuring timely delivery of high-quality software solutions. Typically, they work for a specific duration or on particular projects, providing leadership, technical expertise, and process improvements. This role is ideal for organizations seeking temporary management support or specialized leadership for critical projects. Contract Software Engineering Managers often bring diverse experience from various industries and projects.

What are the key skills and qualifications needed to thrive as a contract software engineering manager?

To thrive as a Contract Software Engineering Manager, you need strong leadership abilities, deep software development knowledge, and experience managing engineering teams, typically supported by a degree in computer science or related field. Familiarity with project management tools (like Jira or Trello), cloud platforms (such as AWS or Azure), and relevant certifications (e.g., PMP, Scrum Master) is often required. Outstanding communication, adaptability, and conflict-resolution skills help build trust and drive team performance in diverse, dynamic environments. These competencies ensure timely project delivery, high code quality, and effective collaboration with stakeholders.

What are some unique challenges faced by contract software engineering managers compared to full-time managers?

Contract software engineering managers often face the challenge of quickly integrating into new teams and company cultures while rapidly understanding ongoing projects. They must establish trust and effective communication in a short period, all while delivering results within limited contract timelines. Additionally, contract managers may need to balance stakeholder expectations and project deliverables without the long-term context or authority that permanent managers might have. Adaptability, strong onboarding skills, and proactive relationship-building are key to thriving in this role.

What is the difference between Contract Software Engineering Manager vs Contract Software Developer?

AspectContract Software Engineering ManagerContract Software Developer
Required CredentialsBachelor's/Master's in CS or related field, management experienceBachelor's in CS or related field, coding skills
Work EnvironmentOversees teams, manages projects, collaborates with stakeholdersFocuses on coding, debugging, implementing features
Employer & Industry UsageTech companies, consulting firms, startupsSoftware firms, tech startups, enterprise IT
Common Search & ComparisonManagement responsibilities, leadership rolesTechnical skills, coding focus

The Contract Software Engineering Manager typically oversees development teams, manages projects, and ensures delivery, requiring management experience and leadership skills. In contrast, the Contract Software Developer primarily focuses on coding and implementing software features. Both roles are common in tech industries but differ significantly in responsibilities and required credentials.

What are popular job titles related to Contract Software Engineering Manager jobs in Iowa?

For Contract Software Engineering Manager jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Contract Software Engineering Manager jobs in Iowa look for?

The top searched job categories for Contract Software Engineering Manager jobs in Iowa are:

What cities in Iowa are hiring for Contract Software Engineering Manager jobs?

Cities in Iowa with the most Contract Software Engineering Manager job openings:

Contract Software Engineering Manager jobs near you
Infographic showing various Contract Software Engineering Manager job openings in Iowa as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Software Engineering Manager

VIDA Diagnostics

Coralville, IA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

Job description

About VIDA

VIDA is the global leader in AI-powered Biomarker Intelligence Solutions. We use our secure, cloud-native medical imaging technology to create quantitative imaging biomarkers. Our engineering teams sit at the intersection of large-scale data processing, AI/ML, and distributed computer vision workloads.

This position is Hybrid out of our Coralville, IA or Edina, MN office.

Role Overview

As a Software Engineering Manager at VIDA, you will have a strong technical depth in cloud-native, distributed data processing systems – high-throughout, horizontally scalable architectures capable of processing millions to billions of events, managing fan-out/fan-in workflows, and orchestrating large-scale data movement across distributed compute clusters. In this role, you will manage and grow a team of backend and platform engineers responsible for building VIDA’s distributed compute and data backbone: high-volume ingestion pipelines, scalable workflow engines, secure data storage layers, and AI/ML-supporting infrastructure for the VIDA Intelligence Platform and VIDA Biobank. You’ll partner closely with Product, Data Science, QA, Security, and Operations to deliver highly reliable, compliant, multi-tenant systems that support pharma trials, large-scale imaging research, and next-generation AI workloads.

As a Software Engineering Manager, your key responsibilities will be:

Team Leadership & Delivery

  • Lead, mentor, and develop a team of software engineers focused on backend services, distributed systems, and cloud infrastructure.
  • Build and engineering culture grounded in reliability, observability, automation, and high accountability.
  • Drive execution of critical platform initiatives: scalable DICOM ingestion, distributed workflow orchestration, batch data processing pipelines, and date lake/lakehouse systems.
  • Ensure Engineering best practices across code quality, testing, CI/CD, IaC, and operational readiness.

Technical Ownership & Architecture

  • Provide strong hands-on technical guidance in system design, distributed systems patterns, and cloud-native architecture.
  • Own the reliability and performance of distributed components such as:
    • Event-driven pipelines (Kinesis, Kafka, Pub/Sub equivalents)
    • Workflow orchestration (Step Functions, Temporal, Airflow)
    • Scalable microservices for multi-tenant data access
  • Collaborate with senior architects and the VP of Engineering on platform roadmaps and architectural evolution.
  • Champion modern distributed systems practices including idempotent operations, partitioning, caching, backpressure management, and autoscaling.

Cross-Functional Collaboration

  • Work with Product Management to break down features into clear technical plans and deliverable increments.
  • Partner with Data Science/ML teams to support model training, inference workflows, and large-scale compute jobs.
  • Coordinate with Security, Compliance, and DevOps to ensure systems meet HIPAA, SOC2, GDPR, and GxP standards.
  • Collaborate with Customer Success and Support teams to diagnose issues and improve platform-level SLAs.

Required Qualifications

  • 7+ years of experience building large-scale backend or distributed systems; 2+ years managing or leading technical teams.
  • Deep experience with cloud-native distributed architectures (AWS preferred).
  • Hands-on knowledge of:
    • Event-driven systems (Kafka/Kinesis/PubSub)
    • Microservices at scale (ECS/EKS/Lambda)
    • Distributed data storage (S3, RDS, DynamoDB, Delta Lake)
    • Workflow orchestration frameworks
    • LLM Coding tools (Claude Code, OpenAI Codex, or Gemini Antigravity
  • Strong design and distributed systems fundamentals: consensus, partitioning, caching, backpressure, idempotency, retries, stream processing.
  • Proficient in modern programming languages (Python, Go, Java, or similar).
  • Experience building or managing multi-tenant SaaS systems with strict SLAs.
  • Experience operating systems in compliance-sensitive environments (healthcare, finance, enterprise SaaS).
  • Strong experience with aligning teams to adopt AI assisted programming methodologies

Preferred Qualifications

  • Experience with medical imaging, DICOM, or AI/ML data processing.
  • Familiarity with lakehouse architectures, Databricks, large-scale batch compute platforms.

All VIDA employees are expected to be flexible and have an entrepreneurial mindset.  Other duties may be assigned as needed. In addition, VIDA offers a wide selection of benefits including health insurance (medical, dental, vision), retirement planning (401k), and paid time off to name a few. 

VIDA is an equal opportunity employer.  Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran’s status, age or disability.