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Remote Graduate Software Engineer Jobs in Redford, MI

Senior Software Engineer, DevOps

Ann Arbor, MI · On-site +1

$160K - $190K/yr

We are seeking a Senior Software Engineer, DevOps to help design, build, and operate Utilidata ... remote work. Our Commitments: Utilidata values the diversity of our team. We provide equal ...

We are seeking a Senior Software Engineer, DevOps to help design, build, and operate Utilidata ... remote work. Our Commitments: Utilidata values the diversity of our team. We provide equal ...

ServiceNow Developer (IRM)

Troy, MI · Remote

$55.25 - $76/hr

... Fully Remote Duration 12+ Months Interview type Video Looking for a senior ServiceNow software engineer with 5+ years' experience with ServiceNow specifically experience with the integrated risk ...

We're looking for software engineers that have started playing project team management and ... Hybrid remote model allows the flexibility to work remotely as much as desired. * Paid time off for ...

Software Test Engineer

Dearborn, MI · On-site +1

$102K - $204K/yr

... 5. Remote Vehicle telemetry APIs. 6. Connected vehicle diagnostics including OBD-II, CAN, IP ... Software Test Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this ...

Mulesoft Developer

Dearborn Heights, MI · Remote

$51.50 - $68.25/hr

Experienced MuleSoft Software developer with expertise in designing, developing and testing ... Position can be Remote but Hybrid preferred. Skills Required: Mulesoft, JAVA, Github, Jenkins ...

Showing results 21-40

Remote Graduate Software Engineer information

See Redford, MI salary details

$58.6K

$136.1K

$189.6K

How much do remote graduate software engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote graduate software engineer in Redford, MI is $136,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $159,600.00 per year, depending on experience, location, and employer.

What is a remote graduate software engineer?

A Remote Graduate Software Engineer job is an entry-level software development role that allows recent graduates to work from a remote location. These engineers collaborate with teams to develop, test, and maintain software applications while gaining hands-on industry experience. They typically use programming languages, frameworks, and tools to contribute to projects under the guidance of senior engineers. Strong problem-solving skills, adaptability, and communication are essential for success in this role.

What are the key skills and qualifications needed to thrive as a remote graduate software engineer?

To thrive as a Remote Graduate Software Engineer, you need a solid understanding of programming fundamentals, algorithmic problem-solving, and a relevant degree in computer science or software engineering. Familiarity with version control tools like Git, cloud-based development platforms, and exposure to languages such as Python, Java, or JavaScript are highly valued, with some employers appreciating certifications in specific technologies. Strong communication skills, self-motivation, and the ability to collaborate effectively with distributed teams differentiate top candidates. These attributes ensure you can deliver high-quality software, adapt to remote workflows, and contribute productively to your team and projects.

What are some challenges I might face as a remote graduate software engineer, and how can I overcome them?

As a Remote Graduate Software Engineer, you may face challenges such as staying self-motivated, adapting to asynchronous communication with your team, and managing time effectively without direct supervision. It's important to establish a structured daily routine, proactively reach out to colleagues for support, and leverage project management tools to keep track of your tasks and progress. Engaging regularly in team meetings and utilizing collaboration platforms helps you stay connected and continuously learn from peers. Embracing these strategies will enable you to overcome initial hurdles and build confidence as you grow in your role.

What cities near Redford, MI are hiring for Remote Graduate Software Engineer jobs? Cities near Redford, MI with the most Remote Graduate Software Engineer job openings:
Infographic showing various Remote Graduate Software Engineer job openings in Redford, MI as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $136,085 per year, or $65.4 per hour.

Senior Software Engineer, DevOps

Utilidata

Ann Arbor, MI • On-site, Remote

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid - bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
We are seeking a Senior Software Engineer, DevOps to help design, build, and operate Utilidata's off-device platform that ingests, processes, and serves data flowing from edge AI devices. The role will build and maintain infrastructure across on-premises and cloud environments - bridging edge deployments with cloud-based data processing to support analytics, operations, and ML workloads at scale. This is a hands-on development role with deep technical ownership and cross-team visibility. This engineer will build and maintain the systems that keep our platform running, help shape infrastructure and deployment best practices, and support less experienced engineers. This engineer will partner closely with on-device and ML teams to ensure our off-device platform is resilient, well-instrumented, and ready to scale.
Responsibilities
  • Support the deployment and management of containerized applications using Kubernetes, ensuring optimal performance and availability
  • Contribute to strategic planning on how infrastructure solutions evolve to match Data Center partner requirements
  • Design, implement, and maintain scalable and reliable systems on AWS and/or on-premise
  • Utilize Terraform for infrastructure as code to automate the provisioning and management of cloud resources
  • Monitor system performance and uptime, ensuring systems meet established service level objectives (SLOs)
  • Support SOC2 security compliance requirements for data handling
  • Guide team members in DevOps practices, promoting a culture of reliability and excellence
  • Advocate for automation of operational tasks to enhance efficiency and reduce manual intervention
  • Collaborate with cross-functional teams to build and maintain CI/CD pipelines
  • Troubleshoot and resolve complex production issues, conducting root cause analysis and implementing corrective actions
  • Participate in on-call rotations and incident response teams
  • Assist in capacity planning, performance tuning, and technical decision-making
  • Drive continuous improvement initiatives for processes and infrastructure
Minimum Qualifications
  • 8+ years of development experience including experience in platform engineering, SRE, or distributed systems, with demonstrated senior-level impact
  • Experience designing and operating infrastructure across on-premises and cloud environments
  • Strong proficiency in container orchestration, particularly Kubernetes
  • Strong proficiency with AWS services and architecture
  • Hands-on experience with Terraform for infrastructure automation
  • Familiarity with monitoring tools (Prometheus, Grafana, or similar) and observability best practices
  • Strong problem-solving skills and attention to detail
  • Strong communication and collaboration skills, with experience contributing to technical outcomes
  • Willingness to travel up to 20% of time
Enhanced Qualifications (Nice to Have)
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Experience supporting or enabling MLOps platforms, model deployment pipelines, or ML-adjacent infrastructure
  • AI workload scheduling using Kubernetes
  • Knowledge of Apache Spark for large-scale data processing
  • Knowledge of database technologies (SQL, NoSQL)
  • Understanding of networking concepts and security best practices

Salary Range: $160,000 to $190,000 base compensation depending on experience and stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position is based at our company headquarters in Ann Arbor, Michigan, with flexibility for occasional remote work.
Our Commitments:
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k