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UCSF Department of Neurological Surgery is seeking a HS Clinical Instructor or Assistant, Associate, or Full rank Professor in the HS Clinical, Clinical X, or In Residence series. We are particularly interested in neurosurgeon candidates with academic research interests, either basic or translational in focus. This is a full-time UCSF Neurosurgery Position with clinical duties at the San Francisco Veterans Affairs (SFVA) hospital and UCSF Medical Center (Parnassus) campus. Responsibilities include clinical service, research, and teaching residents and medical students. Candidate must possess an MD, MD/PhD, or an equivalent degree.

Applicants must apply with a curriculum vitae, cover letter, statement of research, statement of teaching, and three reference contacts.

For positions that are 50% effort or more:

The posted UC salary scales set the minimum pay determined by rank and step at appointment. See [Table 5](). The minimum base salary range for this position is $134,500 - $405,900. This position includes membership in the [health sciences compensation plan]() which provides for eligibility for additional compensation.

For positions that are less than 50% effort:

See [Table 2]() for the salary range for this position. A reasonable estimate for this position is $81,500 - $246,000.

For positions exclusively/ partially funded by the affiliate organization:

SFVAMC provided a reasonable salary estimate for this position: up to $400,000.

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Talent Acquisition Manager – AI Infrastructure & Engineering

San Francisco, California

Hybrid Working

We are expanding our global team and launching a new office in San Francisco.

WNTD is looking for an experienced Talent Acquisition Manager to join our Talent Solutions team and support the continued growth of AI infrastructure and accelerated compute platforms across North America.

This role will support one of the most significant AI infrastructure expansion programmes currently underway, focused on building next generation platforms powered by NVIDIA accelerated compute.

You will work closely with senior technical leaders to attract and hire talent across the full infrastructure stack including software engineering, AI platforms, GPU environments and large scale compute infrastructure.

This is a delivery focused role supporting high growth engineering programmes across AI infrastructure and cloud platforms.

The Role

You will lead hiring across multiple engineering disciplines spanning software engineering, AI infrastructure platforms and high performance compute environments.

Working closely with technical leadership and programme stakeholders, you will build pipelines of high quality candidates and manage fast moving hiring plans across several technical workstreams.

Key Responsibilities

• Build and manage talent pipelines across software engineering, AI infrastructure and GPU compute environments

• Proactively source talent across the United States through mapping, referrals and direct outreach

• Screen candidates for technical capability, experience and long term fit

• Partner with engineering leaders to define hiring priorities and role requirements

• Maintain clear tracking of hiring pipelines and delivery progress

• Support wider Talent Solutions activity during peak delivery phases

• Ensure a professional and consistent candidate experience

• Champion fair and inclusive hiring practices

Key Experience

• Proven experience hiring across complex engineering environments

• Strong track record building pipelines across software and infrastructure roles

• Comfortable engaging with technical stakeholders and discussing engineering topics

• Excellent communication and stakeholder management skills

• Strong organisation with the ability to manage multiple roles simultaneously

What We Offer

• Competitive salary and benefits

• Opportunity to support one of the fastest growing AI infrastructure build programmes globally

• Growth within a high performing delivery focused team

• Hybrid working model

• A collaborative culture that values ownership, pace and problem solving

Additional Requirements

• Ability to commute to the San Francisco office

• No visa sponsorship available

• Hybrid working model

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands-On Architecture)

• Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
• Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
• Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
• Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems

Executive Presence & Live Architectural Thinking

• Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
• Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
• Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
• Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
• Represent Fractal at the highest level of client relationship

Team Leadership (Building & Driving Senior ICs)

• Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
• Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
• Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
• Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice

Forward-Deployed & Embedded Delivery

• Lead and run FDE-style engagements where your team operates inside the client's engineering environment
• Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
• Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
• Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
• Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them

Candidate Profile

Technical Qualifications

TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:

• GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
• AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
• Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
• Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
• Real-time and event driven data pipelines (e.g. network telemetry)
• Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations

Non-technical Qualifications

We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.

• 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
• Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
• Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
• The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
• Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
• A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
• Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
• Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)

Strong Preferences

• Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
• Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
• Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
• A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
• Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns

Who Thrives Here

The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:

• Enjoy being client-facing and accountable for outcomes.
• Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
• Believe great platforms come from strong engineering culture plus disciplined execution.
• See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

At Two Bear Capital we believe in partnering with our portfolio companies to build the best teams possible. We look forward to working with you and Rainfall Health on their new Director of Software Engineering role.

Director of Software Engineering (AWS Amplify & Digital Health)

*please note that this role requires willingness to travel to the Bay area and/or relocating to the Bay area

*please note that this position requires US citizenship/does not provide sponsorship

About Rainfall Health

Rainfall Health is an AI-powered compliance and workflow platform helping health systems succeed under CMS’s TEAM Model and other value-based care programs. We partner with hospitals, surgeons, and care teams to improve episode performance, streamline operations, and maximize reimbursement — all while supporting better patient outcomes.

Our platform sits at the intersection of clinical workflows, financial performance, and intelligent automation.

The Role

We are looking for a Director of Software Engineering with deep experience in AWS Amplify and modern cloud-native architectures to help build and scale our digital health platform. You’ll play a key role in designing secure, reliable systems that integrate with healthcare data sources and surface actionable insights to clinical and operational teams.

This role is ideal for someone who enjoys solving complex data and workflow challenges in a regulated healthcare environment.

What You’ll Do

Platform & Application Development

• Design, build, and maintain scalable web applications using AWS Amplify, serverless services, and modern frontend frameworks
• Develop robust APIs and backend services using AWS-native tools (e.g., AppSync, Lambda, DynamoDB, RDS)
• Ensure performance, reliability, and security across distributed cloud systems

Healthcare Data & Integrations

• Build and maintain integrations with Electronic Health Records (EHRs) and other healthcare systems
• Work with healthcare interoperability standards such as FHIR, HL7, and APIs from major EHR vendors
• Design data ingestion pipelines that normalize, validate, and securely store clinical and operational data

Data Visualization & Insights

• Develop interactive dashboards and data visualization tools for clinical and operational users
• Translate complex healthcare data into intuitive, actionable insights
• Collaborate with product and design teams to create user experiences tailored to care teams and administrators

Cross-Functional Collaboration

• Work closely with product managers, designers, and clinical stakeholders to deliver features aligned with real-world workflows
• Contribute to architectural decisions and technical roadmap planning
• Mentor other engineers and promote best practices in code quality, testing, and security

Security & Compliance

• Implement best practices for HIPAA-compliant infrastructure and data handling
• Ensure systems meet high standards for privacy, auditability, and reliability in a healthcare environment

What We’re Looking For

Required:

• 8+ years of software engineering experience building production-grade applications
• Hands-on experience with AWS Amplify and serverless AWS architectures
• Strong experience with modern JavaScript/TypeScript frameworks (e.g., React, Next.js, Vue)
• Experience building and consuming RESTful and/or GraphQL APIs
• Solid understanding of cloud security and best practices for handling sensitive data

Preferred:

• Experience in digital health, healthcare IT, or healthtech startups
• Experience integrating with EHR systems (Epic, Cerner, Meditech, etc.)
• Familiarity with FHIR, HL7, CCD, or other healthcare data standards
• Experience building data visualization tools (e.g., D3, Chart.js, Recharts, or BI tools)
• Knowledge of healthcare compliance frameworks (HIPAA, HITRUST, SOC 2)

Nice to Have

• Experience with real-time data pipelines or event-driven architectures
• Background in analytics, population health, or value-based care technology
• DevOps experience with CI/CD pipelines and infrastructure as code

What Success Looks Like

• Seamless, secure integrations with healthcare systems
• Intuitive dashboards that drive decision-making for clinical and operational teams
• A scalable, maintainable architecture that supports rapid product growth
• Strong engineering culture centered on reliability, security, and user impact

This is a multi-year contract with our direct client.

No third parties!

The Early Clinical Development (ECD) department with our South San Francisco, CA client is seeking a talented and motivated Senior AI Full Stack Engineer reporting to the Director of software engineering at The Clinical Data Insights & Automation team (CDI&A). The CDI&A team collaborates with a broad range of stakeholders involved in the clinical development process (e.g., Clinical Science, Clinical Operations, Medical Writing, Quality, Regulatory). It develops industry-leading solutions for highly complex business problems. To manage the design and pilot of these software products, they apply a high degree of ingenuity and creativity while maintaining a finger on the pulses of the rapidly changing tech and healthcare landscapes.

The Software Engineer will primarily be responsible for designing, developing, and deploying software which interacts with cutting-edge generative AI models and applications in collaboration with AI scientists, full stack developers, and others. Their work will directly impact our ability to create and deliver innovative solutions that leverage AI to solve complex problems and enhance user experiences.

The Opportunity:

• Innovate and develop software applications to support clinical development
• Identify and integrate AI/LLM capabilities to enhance data processing and natural workflows.
• Design intuitive, user-centric interfaces.
• Code Quality and Documentation: Write clean, maintainable, and well-documented code. Participate in code reviews and contribute to best practices in software development.
• Research and Innovation: Stay up-to-date with the latest advancements in generative AI and machine learning. Evaluate new technologies and methodologies to continuously improve our solutions.
• Collaborate with Cross-Functional Teams: Work closely with data scientists, engineers, and product managers to integrate generative AI capabilities into our products and services.
• Deployment and Monitoring: Develop and maintain robust deployment pipelines for AI-enhanced applications. Monitor pipeline performance in production and implement necessary improvements.

Who You Are:

• An experienced full stack developer capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individual contributor.
• Someone with a clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice.

Minimum Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 5+ years of full stack development experience
• Strong proficiency in either a front-end framework (js, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar)
• 4+ years experience with front-end frameworks (preferably js)
• 2+ years of developing and deploying AI/ML solutions or applications
• Experience designing and developing RESTful APIs (with e.g. Python FastAPI).
• Familiarity with prompt engineering
• Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes)
• Strong automated software testing skills (Python unittest, jest, Playwright)
• Familiar with Agile methodologies
• Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges.
• Leading system design and implementing scalable, fault-tolerant solutions for complex, distributed computing challenges.
• Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake).
• Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation)

Preferred Qualifications:

• Experience building AI agents, fine-tuning LLM models, and evaluating bias and fairness with LLM systems
• Experience in developing Microsoft Word add-ins using js.
• Experience with web technologies like JWT, WebSockets, etc.
• Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar.
• Familiarity with DevOps, infrastructure, and continuous integration concepts.
• Familiarity with CRDT technologies like Yjs.
• Experience with using NLP/LLMs on clinical text.
• Basic knowledge of clinical drug development

Local candidates only. You must be a W2 employee and we can not work with third party clients.

Software Engineer – Generative AI Applications |

Company’s Early Clinical Development (ECD) team is looking for a Software Engineer to design and build next‑generation applications that integrate generative AI into clinical development workflows. You’ll work with AI scientists, full‑stack engineers, and cross‑functional partners to deliver innovative, user‑centric tools that support Clinical Science, Operations, Medical Writing, Regulatory, and Quality teams.

What You’ll Do

• Develop and deploy software that integrates LLMs and AI‑driven capabilities
• Build intuitive front‑end interfaces and scalable backend services
• Design and maintain RESTful APIs and deployment pipelines
• Write clean, well‑documented, testable code; participate in code reviews
• Stay current on AI/ML advancements and evaluate new technologies
• Collaborate with data scientists, engineers, and product teams to embed AI into clinical development tools
• Monitor production systems and optimize performance

Who You Are

• Full‑stack engineer with strong experience building AI‑enabled applications
• Deep understanding of modern AI/LLM capabilities, limitations, and best practices
• Strong communicator who can work across scientific and technical teams

Minimum Requirements

• Bachelor’s or Master’s in CS, Engineering, Math, or related field
• 5+ years full‑stack development experience
• Expertise with Vue.js or React, plus backend frameworks (FastAPI, Django, Flask, Next.js)
• 2+ years building or deploying AI/ML applications
• Experience with REST APIs, prompt engineering, and containerized workflows (Docker, Kubernetes)
• Strong automated testing skills (unittest, jest, Playwright)
• Familiarity with Agile development
• Experience with AWS, Snowflake, and scalable system design
• Experience integrating LLMs, RAG systems, or chatbots

Preferred

• Experience with LLM fine‑tuning, AI agents, HuggingFace, LangChain, TensorFlow, or PyTorch
• Experience with Office.js add‑ins, WebSockets, JWT, or CRDTs (Yjs)
• Background using NLP/LLMs on clinical text or knowledge of clinical development

Duration: 12 months (possible extension)

Description:

Job Title: Senior AI Fullstack Engineer

The Position

• We advance science so that we all have more time with the people we love. Client’s Early Clinical Development (ECD) department is seeking a talented and motivated Software Developer reporting to the Director of software engineering at The Clinical Data Insights & Automation team (CDI&A).
• The CDI&A team collaborates with a broad range of stakeholders involved in the clinical development process (e.g., Clinical Science, Clinical Operations, Medical Writing, Quality, Regulatory). It develops industry-leading solutions for highly complex business problems. To manage the design and pilot of these software products, they apply a high degree of ingenuity and creativity while maintaining a finger on the pulses of the rapidly changing tech and healthcare landscapes.
• The Software Engineer will primarily be responsible for designing, developing, and deploying software which interacts with cutting-edge generative AI models and applications in collaboration with AI scientists, full stack developers, and others. Their work will directly impact our ability to create and deliver innovative solutions that leverage AI to solve complex problems and enhance user experiences.

The Opportunity:

• Innovate and develop software applications to support clinical development
• Identify and integrate AI/LLM capabilities to enhance data processing and natural workflows.
• Design intuitive, user-centric interfaces.
• Code Quality and Documentation: Write clean, maintainable, and well-documented code. Participate in code reviews and contribute to best practices in software development.
• Research and Innovation: Stay up-to-date with the latest advancements in generative AI and machine learning. Evaluate new technologies and methodologies to continuously improve our solutions.
• Collaborate with Cross-Functional Teams: Work closely with data scientists, engineers, and product managers to integrate generative AI capabilities into our products and services.
• Deployment and Monitoring: Develop and maintain robust deployment pipelines for AI-enhanced applications. Monitor pipeline performance in production and implement necessary improvements.

Who You Are:

• An experienced full stack developer capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individual contributor.
• Someone with a clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice.

Minimum Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 5+ years of full stack development experience
• Strong proficiency in either a front-end framework (Vue.js, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar)
• 4+ years experience with front-end frameworks (preferably Vue.js)
• 2+ years of developing and deploying AI/ML solutions or applications
• Experience designing and developing RESTful APIs (with e.g. Python FastAPI).
• Familiarity with prompt engineering
• Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes)
• Strong automated software testing skills (Python unittest, jest, Playwright)
• Familiar with Agile methodologies
• Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges.
• Leading system design and implementing scalable, fault-tolerant solutions for complex, distributed computing challenges.
• Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake).
• Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation)

Preferred Qualifications:

• Experience building AI agents, fine-tuning LLM models, and evaluating bias and fairness with LLM systems
• Experience in developing Microsoft Word add-ins using Office.js.
• Experience with web technologies like JWT, WebSockets, etc.
• Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar.
• Familiarity with DevOps, infrastructure, and continuous integration concepts.
• Familiarity with CRDT technologies like Yjs.
• Experience with using NLP/LLMs on clinical text.
• Basic knowledge of clinical drug development

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Recruiter Details:

Name: Prateek Chaturvedi

Email:

Internal Id: 26-06298

Job Description:

Mandatory to have working experience as SRE manager especially in Retail domain application support ( NOT CLOUD /DevOps)

Must have working knowledge on SRE principles such as Logs, metrics, availability metrics, uptime, ticket tracking, e-com services, ITIL framework specifically on Alerts, Incident, change management, CAB, Production deployments, Risk and mitigation plan, SLA, SLI, SLO

Hands on experience in Monitoring, Logging, Alerting, Dashboarding, and report generation in any observability tools Prefer DataDog or other tools such as Splunk/Dynatrace/ELK/Grafana). This engagement is a customer using Dynatrace,Splunk, PagerDuty hence it is good to have this expertise

Mandatory to have work experience in leading Level 2/Level 3 application support team based out of IND who provide 24x7 coverage.

Should know how to gather & communicate SRE requirement from customers and define SRE roadmap.

Working experience on how to gather requirements on health of applications, services to monitor, setting service levels.

Must have good knowledge on eCommerce platforms in microservice architecture, Sterling OMS , Retail Applications like XStore.

Should be able to lead P1 calls, brief about the P1 to customer, proactive in gathering leads/ customers into the P1 calls till RCA, PIR etc.

Should have knowledge on building process , framework by following ITSM principles, SOP, runbooks, handling any ITSM platforms (JIRA/ServiceNow/BMC Remedy)

Must know how to work with the Dev team, cross functional teams.

Should be able to generate WSR/MSR by extracting the tickets from ITSM platforms, present to customers and client leaders.

Manage overall SRE delivery, customer focus mindset , closely work with customer leaderships.

Preferred:

Be a client face at customer site collaborating with client leadership.

Ability to clearly communicate and understand a technical idea/concept.

Ability to work in a professional environment while interacting with peers and stakeholders, collaborating with offshore teams.

Excellent written and verbal communications skills.

Motivated, goal driven, influential, innovative, curious, and open minded, fun to work with, collaborator.

Capability to work with people in different time zones.

Ability to operate in a fast-paced, evolving environment and appropriately prioritize tasks, and keep abreast of the latest technology.

Collaborate with cloud architecture, infrastructure team, project management team, and technology services, management team.

Create and maintain detailed documentation.

StrivePath is a fast-growing, premium college advisory firm serving high-achieving students nationwide. We combine structured long-term planning with admissions-level insight to guide families from early high school through applications.

We’re hiring a Senior Admissions Advisor with prior admissions committee experience at a nationally recognized or highly selective institution.

This is a part-time, remote role (evening availability preferred), with potential to expand over time.

⸻

What You’ll Do

• Lead initial strategy consultations with prospective families.

• Conduct brief follow-up clarification calls before contract decisions.

• Provide final “adcom-style” reviews of senior applications.

• Serve as a senior escalation and quality resource when needed.

You will not manage scheduling, contracts, or administrative follow-up — operations handles that.

⸻

Who You Are

• Former or current admissions committee member (file reader experience required).

• Experience evaluating applications at a competitive, holistic-review institution is required.

• Comfortable discussing holistic admissions strategy with discerning families.

• Clear, confident communicator with strong executive presence.

• Student-centered, ethical, and values-aligned.

• Interested in meaningful, flexible part-time advisory work.

Compensation is competitive and commensurate with experience.

To apply, please send your resume and a brief note outlining:

• Your admissions experience

• Your current availability

• Why this role appeals to you