Headquarters: Princeton, New Jersey, United States
URL: https://www.click2apply.net/WAQm2XC7Qr2yLU5m7H7yeG

Job Type Full-Time

Overview

Princeton University’s Office of Information Technology is seeking a Senior Developer/Analyst II to serve as a technical expert for the PeopleSoft Human Capital Management (HCM) application. This position analyzes customer needs and develops customizations, reports, interfaces and bolt-on solutions for HCM. Responsibilities also include operational support, testing, maintenance, and customer support. The Senior Developer/Analyst works under the general supervision of senior staff and the Senior Manager/Director of the group.

A Senior Developer/Analyst will build and maintains interactive applications within the ERP landscape: focusing on design, development, integration, testing, and deployment, while collaborating with stakeholders and ensuring scalable, high-performance solutions that meet business needs. Key tasks include requirement analysis, coding, debugging, creating documentation, and improving development processes.

A remote work arrangement within the US may be considered for candidates with the appropriate background and experience.

If remote, employees are expected to have a professional, distraction free environment with reliable high-speed internet connection.

Responsibilities

Business/System Analysis and Development:

• Analyze customer requests and needs, build conceptual models as needed and recommend and design appropriate solutions to meet their needs.
• Conceptualize solutions in collaboration with business partners. Develop solutions within the PeopleSoft environment that meet customer business needs.
• Design and develop interfaces between new and existing systems, both internal and external to Princeton.
• Work with senior managers and peers to translate functional requirements into technical requirements and design appropriate solutions.
• Develop a deep understanding of customer business processes.
• Build and nurture trusting professional relationships with the business partners.

Support:

• Troubleshoot operational application issues and implement appropriate solutions.
• Follow established change management processes to migrate changes to production environments.
• Apply delivered PeopleSoft Upgrade Manager (PUM) images.
• Support the Human Resources, Dean of the Faculty and Finance and Treasurer offices.

Leadership:

• Research new functionality and technologies that can enhance customer business processes and meet business needs.
• Collaborate with ERP colleagues in the research and implementation of new technologies, including training and knowledge transfer.
• Keep an open mind and a learning mindset to new ERP platforms and artificial intelligence options to create efficiencies.

Qualifications

Essential Qualifications:

• A minimum of 5 years of experience as a PeopleSoft developer/analyst, which includes direct programming experience and experience conducting business analysis with technical and non-technical staff.
• A minimum of 5 years of experience as a developer/analyst supporting PeopleSoft HCM, mainly HR, Payroll, Benefits, Absence Management, Time & Labor and Self Service.
• In-depth knowledge of PeopleSoft architecture.
• In-depth experience developing in PeopleTools, including Application Designer, Application Engine, PeopleCode, and Application Packages.
• In-depth knowledge SQR, and SQL.
• In-depth knowledge of debugging and tracing PeopleSoft sessions.
• Working knowledge of HTML5, CSS, XML, JavaScript.
• Understanding of sound security principles and practices.
• Strong analytical and problem-solving skills.
• Strong initiative and drive.
• Ability to multi-task between projects and applications and to manage multiple priorities, while meeting deadlines.
• Excellent communication skills.
• Ability to work effectively as a member of a team, as well as independently.
• Ability to adapt to change, keep abreast of technology trends, and learn new skills and technologies.
• Well versed in project methodologies: Agile and Waterfall.
• Education: Bachelor’s degree in Computer Science, Information Systems or other related fields or equivalent related work experience.

Preferred Qualifications:

• Experience in a higher-education setting.
• Working knowledge of PeopleSoft Fluid, Work Centers and Activity Guides.
• Working knowledge of web service technologies such as Integration Broker, REST and SOAP.
• Knowledge of scheduling software (such as PeopleSoft Process Scheduler, IWS).
• Working knowledge of AWE.
• Familiarity with other ERP solutions: Workday, and/or Oracle.
• Familiarity with change management processes and software (such as ServiceNow).
• Familiarity with COBOL.

Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.

If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.

The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.

Standard Weekly Hours
36.25

Eligible for Overtime
No

Benefits Eligible
Yes

Probationary Period
180 days

Essential Services Personnel (see policy for detail)
No

Physical Capacity Exam Required
No

Valid Drivers License Required
No

Experience Level
Mid-Senior Level

#Ll-DP1

Salary Range
$121,000 to $137,000

Apply Here

PI286870861

To apply: https://weworkremotely.com/remote-jobs/princeton-university-senior-peoplesoft-developer-analyst-ii

Headquarters: Republic of Ireland (Remote)

Backend Engineer - Platform - Stacks

This role is available for candidates located in the UK, Germany, Spain, Ireland and Sweden.

The Opportunity:

Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise.

The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculation, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts.

This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana scales. We are looking for engineers who enjoy solving complex workflow and systems problems, improving reliability and developer experience, and building software that directly supports both customers and internal stakeholders.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineers at Grafana also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope.

What You’ll Be Doing:

The AppCore Stacks squad owns the systems that create, configure, reconcile, migrate, and operate Grafana Cloud stacks at scale. A stack is the customer-facing Grafana Cloud environment that connects an organization to Grafana and the backend services it uses, including Mimir, Loki, Tempo, plugins, dashboards, data sources, and stack-level configuration.

Our work sits at the intersection of product, platform, and operations. We build the control-plane services and workflows that keep stack state aligned across grafana.com, Stack State Service (SSS), Hosted Grafana, cloud regions, and the underlying Grafana Cloud infrastructure. When this domain works well, customers get reliable stack creation, safe configuration rollout, predictable migrations, and fewer manual operational interventions.

• Design, build, and operate reconciliation systems, including the SSS backend, to track desired stack state, detect and repair drift across stack templates, grafana.com state, Hosted Grafana, and actual customer stack configuration
• Collaborate across SSS, grafana.com, and deployment configurations to ensure stack lifecycle workflows remain reliable, observable, and resilient
• Improve operational efficiency by reducing deployment complexity (e.g., aiming for single PR regional SSS deployment) and contributing to the Stack Config Reconciliation project
• Manage rollout mechanisms for provisioned plugins, dashboards, data sources, Grafana versions, release channels, and stack-level configuration
• Support new region and cluster rollouts, including the operational paths required to bring stacks online safely in new Grafana Cloud regions
• Improve incident response and recovery paths for stack misalignment, reconciliation failures, plugin rollout issues, and Hosted Grafana integration failures
• Partner with Product, Hosted Grafana, Infrastructure, Support, and adjacent AppCore squads on customer-impacting stack lifecycle work
• Contribute to roadmap planning, technical design, OnCall improvements, and long-term simplification of stack operations
• You will help own the production behavior of the systems you build. That includes improving runbooks, dashboards, alerts, reconciliation safety, rollout controls, and recovery procedures. You should be comfortable debugging across service boundaries and making careful changes in systems that affect customer stacks

What Makes You a Great Fit:

At Grafana, we actively embrace AI-assisted and agentic development practices, integrating these technologies into both our engineering workflows and the systems we deliver. We encourage our engineers to thoughtfully leverage AI tools to enhance every stage of the lifecycle, from design and implementation to testing, documentation, and operations. We also look for strategic opportunities to embed agentic capabilities within our services to eliminate toil, bolster reliability, and ensure that complex customer workflows remain resilient and safe.

We are seeking a Backend Engineer who thrives on building production systems where correctness, scalability, and operational clarity are paramount. As a remote-first organization, you should be comfortable collaborating asynchronously across time zones and taking full ownership of the critical systems powering Grafana Cloud. Our team is small and operates with a high degree of independence; you will be expected to lead major projects, coordinate across service boundaries, and help define the technical direction for our domain.

You will be particularly successful in this role if you enjoy solving challenges related to stateful systems, eventual consistency, and reconciliation loops. We value engineers who can take ambiguous lifecycle requirements and transform them into explicit, modular solutions. You should be adept at breaking down complex systems work into safe, iterative increments while clearly communicating technical tradeoffs to both internal stakeholders and adjacent product teams.

Some things you might be expected to do could include:

• Writing efficient, readable, and easy to maintain code
• Implementing new microservices or systems
• Collaborating with teammates and other departments to reach consensus on proposed solutions
• Coordinating with product and UX when needed
• Responding to customer requests and feedback
• When ready, participating in our follow-the-sun OnCall rotation
• Participating in team decisions, such as roadmap planning and prioritization

Requirements:

• You have at least 1 year of fully remote work experience
• You have some experience working on a SaaS platform and are familiar with common distributed systems concepts (e.g., scalability, multi-tenancy, HA).
• Have professional experience with Golang and be willing to work across both backend service and application code
• Care deeply about developer and user experience and the quality of the products that you work on
• Have some experience contributing to the delivery of projects, from initial brainstorming to shipping a product to the customer.
• You write clean, well-tested software that other engineers can understand, operate, and maintain
• Can take on well-defined tasks, break them down, and execute iteratively to deliver working solutions and gather feedback.
• You are willing to collaborate across teams and ensure your work is aligned with the needs of other squads and external stakeholders.
• Familiarity with Kubernetes in AWS, GCP, or Azure, and exposure to infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Experience participating in blameless incident response and contributing to post-incident reviews.

Bonus Points For:

• Experience with TypeScript/Node.js
• Experience with Kubernetes control-plane patterns, operators, reconcilers, or desired-state systems
• Experience with Jsonnet/Tanka, Terraform, Flux, Argo, or similar deployment/configuration tooling
• Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems
• Experience with incident response involving configuration drift, partial failure, or cross-service state mismatch

Compensation & Rewards:

In Ireland the Base compensation range for this role is EUR 81,000 - EUR 102,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

To apply: https://weworkremotely.com/remote-jobs/grafana-labs-backend-engineer-platform-stacks-ireland-remote

Headquarters: Remote - United States

The PDP Experience team is responsible for one of the highest traffic pages on the platform: the Comments page. We know that conversations are the lifeblood of Reddit, so we strive to ensure viewing content and the surrounding conversation is appealing, intuitive and delightful. This is a high impact role where you will drive related technical & product strategy, operations, architecture, and execution for one of the largest sites in the world.

What You’ll Do:

• Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy and build novel products and features that our users will love.
• Contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
• Contribute meaningfully to team strategy. We give everyone a seat at the table and encourage active participation in planning for the future. Don’t just come along for the ride.
• Participate with a team of thoughtful, fast-moving, and motivated engineers. Contribute to standards that improve developer workflows, and recommend best practices.
• Move fast while balancing quality. We can’t afford extensive processes, and we also can’t afford show-stopping bugs. We need someone who can balance speed with quality while quickly building brand-new products.
• Continuously learn and improve your technical and non-technical abilities.

Who You Might Be:

• BS degree in Computer Science, a similar technical field of study or equivalent practical experience
• Minimum of 3+ years of post-internship, full-time, hands-on, professional software development experience in large-scale distributed systems. 
• 3+ years of software development experience in one or more general-purpose programming languages; Go, Python, Rust, Ruby.
• Experienced with GraphQL, REST, HTTP, Thrift or gRPC basics, and the ability to design and implement maintainable APIs.
• Strong organizational skills, the ability to prioritize tasks and keep projects on schedule.
• Entrepreneurial spirit. You are self-directed, innovative, and biased towards action in fast-paced environments. You love to build new things and thrive in ambiguity and even failure.
• Excellent communication skills. You collaborate effectively with teams in a fully remote environment and discuss complex topics with technical and non-technical audiences.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

To apply: https://weworkremotely.com/remote-jobs/reddit-backend-software-engineer-pdp-experience

Headquarters: Minneapolis, MN
URL: http://collaboration.ai

Who We Are

Collaboration.Ai is a mission-focused, AI-powered software and services company based in Minnesota, with employees, partners, and customers around the world. We unite people, technology, and purpose to accelerate breakthroughs that transform industries, empower communities, and create a more sustainable future. We collaborate with organizations across the defense ecosystem, helping them navigate complex challenges and drive transformative change.

Our Products

NetworkOS — NetworkOS is an AI-powered platform that aligns people, purpose, ideas, and expertise in real-time, generating actionable insights to propel movements forward.

CrowdVector — CrowdVector is an integrated solution marketplace and innovation management platform that rapidly uncovers new ideas and advances breakthroughs to fuel movements.

To learn more about us, visit collaboration.ai.

About the Role

You'll build the agentic systems and data pipelines behind NetworkOS's AI capabilities: production agent workflows built on industry-leading agent SDKs and harnesses, MCP servers, and Agent Skills standards; the eval and observability layer that keeps LLM quality measurable; and the ingestion pipelines that turn messy, diverse data sources into queryable knowledge.

This is an execution seat, not an ivory tower. You'll commit code every week, ship agents as product capability rather than demos, and help shape a roadmap that's heading deep into graph + agents territory — for customers in defense, public sector, and regulated enterprise.

Agents in production. Pipelines that hold. Evals that keep everyone honest.

What You'll Do

• Ship production agent systems — design, build, and operate agentic workflows (agent SDKs, MCP servers, Agent Skills standards) powering AI-driven matching, analysis, and data intelligence

• Operationalize LLM quality — build the eval and observability layer with Langfuse, golden datasets, LLM-as-judge patterns, and FinOps-style tracking so every workflow has measurable quality, cost, and latency

• Engineer data pipelines — robust ingestion of documents, structured data, and external sources into searchable knowledge bases with quality validation, deduplication, and incremental updates

• Own retrieval quality — hybrid search combining vector, keyword, and metadata retrieval, continuously improved through reranking, query expansion, and contextual compression

• Accelerate with AI — build custom MCP tools and Agent Skills that make the whole engineering team measurably faster

• Execute alongside the team — pair with full-stack engineers on AI integration points, contribute to incident response for AI services, and keep your hands in the code

Our Tech Stack

• Languages: Python (primary); Kotlin (core platform language at CAI); TypeScript/Node.js and other modern languages (secondary)

• AI/ML: FastAPI, Pydantic; multi-provider LLM SDKs (Anthropic, OpenAI, and others)

• Agentic Tooling: Claude Code/Codex/etc.; industry-leading agent SDKs and harnesses; MCP servers; Agent Skills standards

• LLM Operations: Langfuse + evals (golden datasets, LLM-as-judge); in-house FinOps tracking (token usage, latency, cost); multi-provider orchestration including AWS Bedrock

• Search & Retrieval: Vector databases, OpenSearch, embedding models

• Data: PostgreSQL, Amazon S3; streaming pipelines (Kafka/Kinesis) where needed

• Infrastructure: Docker, Kubernetes (AWS EKS); DataDog + OpenTelemetry observability

What We're Looking For

Must-Haves

• 7+ years of professional software engineering experience, with 3+ years focused on AI/ML or data engineering

• Production agentic/LLM application experience — built and operated systems around LLM APIs (Anthropic, OpenAI) serving real users: agents, tool-use, or orchestrated LLM workflows

• Data engineering background — robust, scalable pipelines for AI/ML workloads

• LLM operations experience — evals and observability for production LLM systems (quality, cost, latency)

• Production retrieval experience — vector databases and/or search engines (OpenSearch, Elasticsearch)

• Modern Python stack proficiency — FastAPI, Pydantic, async/await, modern dependency management

• AI-native workflows — demonstrated ability to leverage Claude Code/Codex or similar agentic coding tools to accelerate development

• Experience with Docker, Kubernetes, and AWS

• US citizenship required (DoD contracting — IL4/IL5 environments — and FedRAMP compliance)

Nice-to-Haves

• Deep agentic ecosystem experience — Agent Skills standards, custom MCP servers, agent SDKs across major vendors

• Advanced RAG expertise — GraphRAG, agentic RAG, contextual retrieval, reranking strategies

• Graph data experience — knowledge graphs, graph databases, or graph-based retrieval

• Model selection & rightsizing — matching models to domain-specific use cases across quality, cost, and latency tradeoffs

• Streaming data experience (Kafka, Kinesis) for real-time knowledge base updates

• Research background, open-source contributions, or an advanced degree in ML/IR/NLP

Why Join Collaboration AI?

Real AI engineering, not a wrapper shop. Production agents, hybrid retrieval, continuous evals, and a roadmap heading into graph + agents — with the autonomy to shape how it's built.

AI-native by default. We build with AI, not just for AI. Agentic coding tools (Claude Code/Codex/etc.), agent SDKs and harnesses, MCP servers, and Agent Skills standards are how we work daily — you'll both use and build them.

Work that matters. Defense, public sector, and regulated industries — SOC 2 and NIST compliance, FedRAMP readiness, and customers whose missions demand AI they can trust.

Small, senior team. Early-stage impact with your work visible from week one. You'll help set the bar for how AI engineering is done here.

To apply: https://weworkremotely.com/remote-jobs/collaboration-ai-senior-software-ai-engineer