ZipRecruiter

Log In

2

Remote Goldman Sachs Software Engineer Jobs in Michigan

Utilidata

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 ...

micro1 AI

Bioinformatics Software Engineer

Ann Arbor, MI · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

micro1 AI

Bioinformatics Software Engineer

Warren, MI · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

micro1 AI

Bioinformatics Software Engineer

Dearborn, MI · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

micro1 AI

Bioinformatics Software Engineer

Lansing, MI · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

micro1 AI

Bioinformatics Software Engineer

Detroit, MI · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

Corning

Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science ... A hybrid role based in Obispado, Monterrey, with most work expected to be remote and office ...

X by 2

Software Engineering Manager

Detroit, MI · On-site +1

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 ...

Motorola

Senior AI Engineer (US Remote)

Three Rivers, MI · Remote

$180K - $210K/yr

You'll work directly with Product Management and Software Engineering teams to transform AI use ... REMOTE Basic Requirements * 8+ years experience in software development * AND 2+ years with AI ...

previous page

Showing results 41-60

All JobsGoldman Sachs Software Engineer JobsRemote Goldman Sachs Software Engineer JobsRemote Goldman Sachs Software Engineer Jobs in Michigan

Remote Goldman Sachs Software Engineer information

What does a remote Goldman Sachs software engineer do?

A Remote Goldman Sachs Software Engineer is responsible for designing, developing, and maintaining software applications that support the firm's financial services and operations. Working remotely, they collaborate with cross-functional teams to create scalable and reliable solutions, often using modern programming languages and technologies. Their work includes coding, testing, debugging, and deploying software, as well as participating in code reviews and staying updated with industry best practices. Remote engineers leverage digital collaboration tools to communicate effectively and ensure security standards are met while working outside the office.

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

To thrive as a Remote Goldman Sachs Software Engineer, you need strong programming skills (such as in Java, Python, or C++), computer science fundamentals, and typically a bachelor’s degree in a related field. Familiarity with financial systems, cloud platforms, version control tools like Git, and experience using CI/CD pipelines are commonly required, while certifications in cloud computing or cybersecurity can be advantageous. Excellent problem-solving abilities, self-motivation, and strong communication skills help you collaborate effectively across remote teams and adapt to dynamic project needs. These combined skills are crucial for delivering secure, scalable solutions in a highly regulated, fast-paced financial technology environment.

How does a remote Goldman Sachs software engineer typically collaborate with team members across different time zones?

As a remote Software Engineer at Goldman Sachs, you'll often work with colleagues located around the globe. Collaboration is facilitated through regular video meetings, agile ceremonies, and communication platforms like Slack and Jira. Flexibility in scheduling and clear documentation are essential to ensure smooth handoffs and project continuity. You'll also participate in code reviews and pair programming sessions virtually to maintain high-quality standards and foster team cohesion.

What is the difference between Remote Goldman Sachs Software Engineer vs Remote JPMorgan Chase Software Engineer?

AspectRemote Goldman Sachs Software EngineerRemote JPMorgan Chase Software Engineer
Required CredentialsBachelor's in CS or related field; coding skills; financial industry knowledgeBachelor's in CS or related field; coding skills; financial industry knowledge
Work EnvironmentRemote, collaborative teams within financial servicesRemote, collaborative teams within banking and financial services
Employer & Industry UsageGoldman Sachs, investment banking, asset managementJPMorgan Chase, banking, investment, and financial services

The Remote Goldman Sachs Software Engineer and Remote JPMorgan Chase Software Engineer roles share similar credentials, work environments, and industry usage. Both positions involve remote work within major financial institutions, requiring comparable skills and educational backgrounds. The main difference lies in the specific company and its unique projects or focus areas within the financial sector.

What are the most commonly searched types of Goldman Sachs Software Engineer jobs in Michigan?

The most popular types of Goldman Sachs Software Engineer jobs in Michigan are:

What are popular job titles related to Remote Goldman Sachs Software Engineer jobs in Michigan?

For Remote Goldman Sachs Software Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Goldman Sachs Software Engineer jobs in Michigan look for?

The top searched job categories for Remote Goldman Sachs Software Engineer jobs in Michigan are:

What cities in Michigan are hiring for Remote Goldman Sachs Software Engineer jobs?

Cities in Michigan with the most Remote Goldman Sachs Software Engineer job openings:

Remote Goldman Sachs Software Engineer jobs near you

Senior Software Engineer, DevOps

Utilidata

Ann Arbor, MI • On-site, Remote

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 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

Apply