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Staff Software Engineer Remote Jobs in Pennsylvania

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 Software Engineer III - AI/ML Platform Operations - Remote (Open) Location Arizona - Home Teleworkers ...

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 Software Engineer III - AI/ML Platform Operations - Remote (Open) Location Arizona - Home Teleworkers ...

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 Software Engineer III - AI/ML Platform Operations - Remote (Open) Location Arizona - Home Teleworkers ...

$170K - $201K/yr

CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to ... Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ...

Software Engineer

Pittsburgh, PA · Remote

$100K - $120K/yr

Software Engineer Location: Remote, U.S. Note: This a remote position and requires residency in the United States. Candidates must be eligible to work in the United States. Type:Full-Time, Salaried ...

Advanced Software Engineer

Philadelphia, PA · On-site +1

$85K - $115K/yr

Advanced Software Engineer Chicago, IL Reports To: Director, Product Development & Operations BAI ... off, hybrid and remote working models, tuition assistance and the ability to work in a ...

The Software Engineer expands the suite of applications. The position manages systems analysis ... Hybrid, remote and flexible on-site work schedules are available, based on the position. PANTHERx ...

The Software Engineer expands the suite of applications. The position manages systems analysis ... Hybrid, remote and flexible on-site work schedules are available, based on the position. PANTHERx ...

Showing results 41-60

Staff Software Engineer Remote information

See Pennsylvania salary details

$60.6K

$161.5K

$220.5K

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

As of Sep 8, 2026, the average yearly pay for staff software engineer remote in Pennsylvania is $161,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,800.00 and $191,000.00 per year, depending on experience, location, and employer.

What is a staff software engineer remote?

A Staff Software Engineer (Remote) is a senior-level software engineer who works primarily from a location outside of the main office, often from home or another remote setting. This role typically involves leading technical projects, mentoring junior engineers, making architectural decisions, and collaborating with cross-functional teams to deliver high-quality software solutions. Staff Software Engineers are expected to have extensive experience in software development, strong problem-solving skills, and the ability to work independently as well as part of a distributed team. Remote staff engineers also leverage digital communication and collaboration tools to stay connected and productive.

How does a staff software engineer collaborate with cross-functional teams in a remote environment?

As a Staff Software Engineer working remotely, you'll frequently collaborate with product managers, designers, QA engineers, and other software engineers through virtual meetings, shared documentation, and collaboration tools like Slack or Jira. Effective communication and clear documentation are essential to align on project goals, technical decisions, and timelines. You'll also mentor junior team members and often participate in architectural reviews, ensuring that distributed teams remain cohesive and productive despite working from different locations.

What are the key skills and qualifications needed to thrive as a staff software engineer remote, and why are they important?

To thrive as a Staff Software Engineer (Remote), you need advanced programming skills, deep architectural knowledge, and significant experience in software development, often backed by a bachelor's or master's degree in computer science or a related field. Expertise with programming languages like Java, Python, or Go, familiarity with cloud platforms (AWS, Azure, GCP), and proficiency in version control systems (e.g., Git) are typically required. Outstanding communication, leadership, and problem-solving abilities help you mentor teams and drive complex projects to completion. These skills ensure you can design robust systems, guide engineering teams remotely, and deliver scalable solutions in a distributed work environment.

What is the difference between Staff Software Engineer Remote vs Staff Software Engineer on-site?

AspectStaff Software Engineer RemoteStaff Software Engineer on-site
Work EnvironmentWorks remotely, often from home or co-working spacesWorks at company office location
Required CredentialsTypically requires similar technical skills and experience as on-site roles, including advanced software development expertiseSame credential requirements as remote roles, focusing on software engineering proficiency
Industry UsageCommon in tech companies supporting remote work policiesTraditional in many industries with physical office presence
Search & Comparison IntentOften searched by candidates seeking flexible work optionsOften searched by those preferring or needing on-site work

Both remote and on-site Staff Software Engineer roles require advanced technical skills and experience. The main difference lies in the work environment, with remote roles offering flexibility to work from anywhere, while on-site roles require physical presence at the company's location. Employers in tech industries increasingly support remote work, making both options viable for experienced software engineers.

What are the most commonly searched types of Staff Software Engineer jobs in Pennsylvania?

The most popular types of Staff Software Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Staff Software Engineer Remote jobs?

Cities in Pennsylvania with the most Staff Software Engineer Remote job openings:

Infographic showing various Staff Software Engineer Remote job openings in Pennsylvania as of August 2026, with employment types broken down into 2% As Needed, 75% Full Time, 17% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $161,535 per year, or $77.7 per hour.

Software Engineer III - AI/ML Platform Operations - Remote

CSAA

Remote

Full-time

Retirement

This job post has expired 4 days ago. Applications are no longer accepted.


Job description

External candidates: In order for your application to be correctly processed please sign-in before you apply

Internal candidates: Please go to Workday and click "Find Jobs" link under Career

Thank you for considering opportunities with us!

Job Title

Software Engineer III - AI/ML Platform Operations - Remote

Requisition Number

R7739 Software Engineer III - AI/ML Platform Operations - Remote (Open)

Location

Arizona - Home Teleworkers

Additional Locations

Job Information

CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact. Step into a role where you can contribute to our shared success through meaningful work.

We are actively hiring for a Software Engineer - AI/ML Platform Operations - Remote

Your Role: We are seeking a Software Engineer - AI/ML Platform Operations to lead the operational excellence, reliability, and support of our enterprise AI and data platforms. This role is responsible for ensuring the stability, scalability, observability, governance, and operational readiness of AI/ML solutions that power critical business capabilities.

This is not a traditional software application development role. While strong software engineering skills are essential, the primary focus is on AI platform operations, MLOps, automation, reliability engineering, deployment support, observability, governance, and continuous improvement of enterprise AI capabilities.

Your Work: You will work across a modern technology ecosystem that includes Palantir Foundry, AWS Bedrock, Amazon SageMaker, cloud-native services, and emerging Generative AI technologies. You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and Product teams to support production AI workloads and enable the successful adoption of AI capabilities across the organization.

AI Platform Operations & Reliability
  • Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker, and related cloud-native technologies.

  • Ensure platform reliability, scalability, performance, security, and operational readiness for production AI workloads.

  • Support deployment, monitoring, maintenance, and lifecycle management of AI/ML solutions and Generative AI services.

  • Establish operational standards, support models, service-level objectives (SLOs), and platform governance practices.

MLOps, Automation & Observability
  • Design and implement automation, monitoring, observability, and operational tooling to improve platform reliability and efficiency.

  • Develop and maintain dashboards, health metrics, alerts, logging frameworks, and operational runbooks.

  • Enhance CI/CD pipelines, deployment automation, infrastructure-as-code, and model release processes.

  • Implement best practices for MLOps, model monitoring, model lifecycle management, and AI operational governance.

Incident Management & Problem Resolution
  • Serve as a senior escalation point for complex production issues involving AI platforms, machine learning workloads, cloud infrastructure, and data integrations.

  • Lead root cause analysis efforts and drive corrective and preventive actions to improve platform stability.

  • Solve performance, availability, deployment, and integration issues across AI and data ecosystems.

  • Partner with engineering and business teams to rapidly restore service and minimize operational risk.

Technical Leadership & Collaboration
  • Provide mentorship, technical guidance, and operational expertise to engineers and platform teams.

  • Influence platform strategy, architecture decisions, operational processes, and technology adoption.

  • Collaborate with team members to align platform capabilities with business priorities and AI adoption goals.

  • Communicate complex technical concepts effectively to both technical and non-technical audiences.

Continuous Improvement & Innovation
  • Remain current with advancements in AI/ML, Generative AI, cloud technologies, platform engineering, and reliability practices.

  • Identify opportunities to improve operational efficiency, governance, security, and developer experience.

  • Champion modern engineering practices including automation, observability, DevOps, Site Reliability Engineering (SRE), and AI Operations (AIOps).

Required Experience, Education and Skills
  • 3+ years of progressive experience in software engineering, platform engineering, cloud operations, MLOps, DevOps, or related technical disciplines.

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.

  • Experience supporting production cloud-based applications and services in AWS environments.

  • Strong experience with software engineering and automation using languages such as Python, Java, JavaScript/TypeScript, or Node.js.

  • Experience with CI/CD, build, integration, and deployment tools such as Jenkins, Maven, GitHub Actions, or equivalent.

  • Experience with cloud-native services including compute, storage, networking, databases, and serverless architectures.

  • Experience building and maintaining operational monitoring, observability, and alerting solutions.

  • Strong troubleshooting, incident response, and root cause analysis skills.

  • Excellent communication, collaboration, and technical leadership capabilities.

What would make us excited about you?

  • Experience with AI/ML platforms such as Palantir Foundry, Amazon SageMaker, AWS Bedrock, Databricks, or similar ecosystems.

  • Experience supporting Generative AI applications, LLM-based solutions, prompt orchestration frameworks, and Retrieval-Augmented Generation (RAG) architectures.

  • Knowledge of MLOps practices including model deployment, monitoring, governance, experimentation, and lifecycle management.

  • Experience with observability and monitoring platforms such as Datadog, Splunk, Grafana, Prometheus, CloudWatch, or OpenTelemetry.

  • Familiarity with AI governance, responsible AI principles, model risk management, and operational controls.

  • Relevant cloud, AI/ML, DevOps, or platform engineering certifications

  • Actively shapes our company culture (e.g., participating in employee resource groups, volunteering, etc.)

  • Lives into cultural norms (e.g., willing to have cameras when it matters: helping onboard new team members, building relationships, etc.)

  • Travels as needed for role, including divisional / team meetings and other in-person meetings

  • Fulfills business needs, which may include investing extra time, helping other teams, etc

Please note we are hiring for this role remote anywhere in the United States with the following exceptions: Hawaii and Alaska.

Why Choose a Career at CSAA IG?

At CSAA IG, we are a mission-driven organization proudly committed to empowering our members, our employees, and our communities to thrive.

Recognition: We offer a total compensation package, annual bonus eligibility for most roles, 401(k) with a company match, and so much more! Read more about what we offer and what it is like to be a part of our dynamic team at https://careers.csaainsurance.aaa.com/us/en/benefits.

Career Growth: We believe in growth for everyone. Here at CSAA IG, leaders and mentors partner with employees to align interests, unlock development opportunities, and support longterm success.

Flexible Workplace: We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex roles, working primarily from home, often with the flexibility to work from various locations including CSAA offices. Our flexible workplace empowers you to balance remote work with intentional inperson moments that deepen connection and collaboration.

Inclusion and Belonging: An inclusive and welcoming workplace is the cornerstone of our success. By fostering an environment where people feel valued and heard, we deepen our ability to understand and meet the unique needs of our members. This strengthens innovation and enhances our products and services, giving us a competitive edge in the market.

Sustainability: As climate change leads to more frequent and severe weather events, we are taking bold action to build more resilient communities and reduce our environmental impact. Submit your application to be considered. We communicate via email, so check your inbox and/or your spam folder to ensure you don't miss important updates from us.

CSAA is committed to providing reasonable accommodations to qualified applicants and employees with disabilities or other limitations. If you would like to request an accommodation to participate in the job application or interview process, please contact TalentAcquistion@csaa.com

If you apply and are selected to continue in the recruiting process, we will schedule a preliminary call with you to discuss the role and will disclose during that call the available salary/hourly rate range based on your location. Factors used to determine the actual salary offered may include location, experience, or education.

CSAA does not provide visa sponsorship for this role. Applicants must have authorization to work indefinitely in the US. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

CSAA Insurance Group is an equal opportunity employer.

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The national average salary range for this position is $105,345.00-$117,050.00. However, we have a location-based compensation structure. Our salary ranges vary and are calculated based on work location. The starting pay range for this position across all the states we hire in is $105,345.00-$140,550.00. This role also includes an opportunity for a company-wide annual discretionary bonus, through our Annual Incentive Plan (AIP), of up to 8% of eligible pay.This job posting will be unposted on Fri, 28 Aug 2026.