Engineering Structures Jobs in Quincy

This isn't a traditional AppSec role. It sits right at the intersection of AI-driven development, SaaS security, and financial-grade risk management—and they need someone who can help shape how security evolves alongside modern engineering.

Why this role stands out:

• Ownership of AppSec across 20+ SaaS applications in a highly regulated financial environment
• Direct involvement in securing AI-assisted development (Copilot, Cursor, Codex)
• Hands-on with AI-powered pentesting tools + modern SAST/DAST pipelines
• Opportunity to define secure AI coding guardrails (this is a big focus area for them)
• High collaboration with engineering, risk, and compliance—this is a true partner role, not a silo

What they're looking for:

• Strong background in application security + secure SDLC (SAST, DAST, SCA)
• Experience with code review (Python, C#, Java, or JavaScript)
• Exposure to AI-driven development environments and their security implications
• Ability to balance technical risk with business impact (this is key in their environment)
• Bonus if you've worked with SSPM tools or SaaS security at scale

• Location: Boston (4 days onsite)

Sr. Project Manager

Location: Boston, MA (candidates must already reside in Massachusetts, preferably in the Boston area)

Schedule: 100% onsite at the main office or hospital project sites

Travel:

40–60% travel within approximately one hour of the main office to various hospital project sites. Mileage reimbursement provided.

Compensation

• $128K–$155K base salary
• Discretionary annual bonus
• $452/month vehicle allowance
• $80/month phone allowance

Overview

Large hospital construction project within the Boston metro area, consisting of multiple project sites.

Required Experience

• 8+ years of project management experience with a mechanical subcontractor
• Experience managing hospital construction projects valued at $5M+ (other commercial project types will not be considered)
• Strong experience managing subcontractors, vendors, budgets, and client relationships

Education

Bachelor’s degree in Construction Management, Engineering, Architecture, or related field.

Equivalent HVAC or plumbing field experience may be considered.

Preferred Certifications

• PMP (Project Management Professional) – PMI
• Procore Certified
• OSHA 30, CPR, and First Aid (preferred)

Key Responsibilities

• Oversee all aspects of project delivery including financial management, subcontractors, vendors, and client relationships
• Maintain job site safety through safety planning, JHA approvals, toolbox talks, and site walks
• Manage project budgets and contract delivery types (GMP, Lump Sum, or Concession Agreement)
• Ensure contract compliance including insurance, reporting, scheduling, and energy savings requirements
• Oversee Procore project setup, including change management and document control
• Negotiate and execute vendor purchase orders and subcontracts
• Lead project handoff meetings and ensure alignment on project goals and client expectations
• Oversee site utilization planning with emphasis on safety, cleanliness, and access control
• Establish and manage the project baseline schedule and milestone tracking
• Lead monthly project reporting, cost reviews, and risk mitigation planning
• Ensure execution of the project quality assurance plan
• Manage change processes including RFIs, drawing revisions, and client directives
• Lead project meetings and distribute agendas and minutes
• Build and maintain relationships with subcontractors, vendors, and clients
• Manage and mentor Project Managers

Qualifications

• 8+ years of relevant experience
• Ability to manage multiple priorities and resolve project challenges effectively
• Proficiency with Microsoft Office and Procore

Benefits

• Medical, dental, and vision insurance
• 401(k) with company match (100% of the first 3%, 50% of the next 2%)
• 120 hours PTO and 9 paid holidays
• Mileage reimbursement and monthly vehicle allowance.

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

Job Description

We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:

• 
  
• Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  
• Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  
• Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  
• Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
  

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.

Duties and Responsibilities

• 
  
• Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  
• Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  
• Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  
• Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  
• Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  
• Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  
• Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  
• Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  
• Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
  

Required Qualifications

• 
  
• Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  
• 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  
• Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  
• Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  
• Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  
• Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  
• Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  
• Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.
  

Preferred Qualifications:

• 
  
• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  
• Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  
• Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  
• Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  
• Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  
• Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  
• Experience in regulated industries or environments requiring strict compliance and data governance standards.
  

Job Title - Embedded Software Engineer (CIP / EtherNet/IP)

Location - Boston, MA, USA – Onsite (Relocation Available)

Employment Type - Contract / Full-time

About the Role

We are seeking a skilled Embedded Software Engineer with strong expertise in CIP (Common Industrial Protocol) and EtherNet/IP to support the development of industrial communication solutions. This role involves working on embedded systems, protocol stack integration, and real-time communication within industrial environments.

The ideal candidate will have hands-on experience in embedded C/C++ development, industrial networking protocols, and device-level integration, with a strong focus on interoperability and compliance standards.

Key Responsibilities

• Develop and maintain embedded software solutions using C/C++ for industrial devices

• Implement and integrate CIP / EtherNet/IP protocol stacks for Adapter or Scanner devices

• Work with RTOS environments such as FreeRTOS, ThreadX, or similar platforms

• Integrate and optimize TCP/IP stacks and Ethernet drivers for embedded systems

• Perform debugging and troubleshooting using tools such as Wireshark

• Ensure compliance with ODVA standards and support interoperability testing

• Collaborate with cross-functional teams to design, test, and validate embedded solutions

• Participate in system-level testing, validation, and performance optimization

Mandatory Skills & Qualifications

• 5–10 years of experience in embedded software development

• Strong hands-on experience with CIP / EtherNet/IP protocols

• Experience in protocol stack integration (Adapter or Scanner)

• Proficiency in C and C++ programming for embedded systems

• Experience working with RTOS platforms (FreeRTOS, ThreadX, etc.)

• Strong understanding of TCP/IP networking and Ethernet driver integration

• Must have experience with ODVA compliance and interoperability testing

• Experience using Wireshark or similar tools for debugging network communication

Preferred Skills

• Experience working in industrial automation or embedded device engineering environments

• Familiarity with real-time communication systems and industrial networking standards

• Strong problem-solving and troubleshooting capabilities

Why Join Us

• Work with cutting-edge technologies in a collaborative environment

• Professional growth opportunities and training support

• Inclusive, equitable, and respectful workplace culture

About NetworkPedia

NetworkPedia is a certified women-owned technology and talent solutions company, providing IT infrastructure, cybersecurity, managed services, and specialized recruitment across North Americas and beyond. Our mission is to empower organizations with secure, scalable, and innovative technology while building inclusive teams that reflect the communities we serve.

As a trusted partner, we deliver expertise across networking, cloud, IT service management, and security operations, along with staffing solutions for niche technology roles. We are committed to diversity, equity, and inclusion (DEI) in all our hiring practices and ensure that our opportunities are open to all qualified applicants, without discrimination on the basis of age, gender, race, ethnicity, religion, sexual orientation, or disability.

How to Apply

Apply directly via LinkedIn Easy Apply. All applications are routed to our central recruitment email id -

About You:

We are seeking a Senior Software Engineer with strong experience in DO-178C flight software development and avionics integration. In this role, you will design and implement safety-critical autonomous flight software, integrate it with avionics hardware platforms, and contribute to certification-ready development processes.

Responsibilities:

• Develop, integrate, and verify flight-critical software using C/C++ following DO-178C processes.
• Build application-level flight software and ensure robust integration with underlying avionics hardware interfaces
• Create, maintain and review software requirements, code and certification artifacts adhering to certification plans and standards
• Troubleshoot integration issues on test benches and aircraft
• Develop automated workflows for software integration and build processes.
• Collaborate with engineers from cross functional groups such as systems, safety, hardware, flight controls and test to ensure product and program level needs are met.
• Contribute to planning and execution of SOI audits and certification reviews.
• Create and maintain comprehensive documentation for software requirements, architecture, build processes and design decisions
• Support hardware-in-the-loop (HIL), processor-in-the-loop (PIL), and flight testing activities.

Qualifications:

• Bachelor's or Master's in Computer Science, Electrical Engineering, Aerospace, or related field.
• 3-5 years of embedded or flight software development experience within a DO-178C environment.
• Strong proficiency in C/C++ for embedded, real-time, safety-critical systems.
• Understanding of avionics protocols and architectures (ARINC 429, ARINC 653, CAN, MIL-STD-1553, Ethernet).
• Experience designing and implementing software for real-time operating systems (RTOS), with strong knowledge of low level topics such as device driver development, interrupt handling, memory management, and performance estimation.
• Strong experience with requirements management, including authoring high-quality software requirements, maintaining traceability, and using tools such as DOORS, Jama, or Polarion.
• Experience with hardware/software integration, debugging on target hardware, and use of analysis tools (logic analyzers, bus analyzers).
• Experience with Python scripting, tool automation and test automation
• Experience with CI/CD environments and automated code quality checks.

Nice To Have

• Background integrating software across diverse avionics platforms or multicore systems.
• Familiarity with flight controls, autonomy, GNC, or aircraft certification efforts.
• Exposure to MathWorks tools and Model-Based Development workflows (DO-331).
• Prior involvement in SOI audits or FAA/EASA certification programs.

The Role

As Senior Project Engineer, you will work alongside senior project managers serving as owner's representative on behalf of a confidential defense tech client. You will be a critical part of the project delivery team, supporting the day-to-day execution of complex construction projects from the owner's side. This is a hands-on, high-visibility role with real exposure to executive-level clients and mission-critical work.

What You'll Own

• Support senior PMs in managing proposals, drafting meeting minutes, contract creation, and client reporting documents
• Assist in the creation and ongoing updates of project budgets and schedules
• Manage document control, change order processing, monthly invoicing, TI allowance reimbursement, and project closeout in coordination with project managers
• Day-to-day involvement across multiple concurrent, complex construction projects
• Interface directly with PMs, clients, and brokers on evolving project requirements

What We're Looking For

• 1-4 years of experience in the construction industry, preferably as a Project Engineer or Senior Project Engineer
• Experience with tenant improvement projects required
• Hands-on experience with invoice processing, schedule and budget creation and updates, and meeting minutes required
• A strong tendency toward leadership and a solid understanding of the design, permitting, bidding, construction, and closeout process
• Highly proficient in Bluebeam, Microsoft Excel, Microsoft Word, and Microsoft Project
• Sharp communicator, written and verbal, comfortable interfacing with senior stakeholders
• Self-directed and deadline-driven, with the ability to juggle multiple tasks and adapt quickly to shifting priorities

Compensation & Details

• Competitive base salary commensurate with experience ranging from $80,000-$110,000
• Competitive benefits package and long-term career growth
• Combination of in-office and onsite project work
• Travel as required to support client projects
• Bachelor's degree required, preferably in Construction Management, Engineering, or Architecture

About the Company

Our client is a well-established global insurance and financial services organization known for its strong reputation, financial stability, and long-term commitment to innovation. The company is investing heavily in modern technology and data platforms to transform how insurance products are delivered to professionals and small businesses.

Within this organization, a rapidly growing digital product team is focused on simplifying insurance through modern technology, data-driven decision making, and scalable cloud infrastructure. The team operates in a collaborative, fast-paced environment and places a strong emphasis on engineering excellence, ownership, and continuous improvement.

About the Role

Our client is seeking a Senior Data Engineer to join their Platform Engineering team in Boston. This role will play a key part in designing, building, and scaling a modern cloud-native data platform used to support analytics, business intelligence, and data-driven decision making across the organization.

This individual will work closely with engineering leaders, data teams, and business stakeholders to develop scalable data integration pipelines and build the foundation for enterprise analytics. The role is highly hands-on and ideal for someone who enjoys building data platforms, working with cloud technologies, and enabling self-service analytics.

The team operates in an Agile environment and values collaboration, ownership, and continuous improvement.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL Server
• Build configuration-driven ingestion processes to support batch and near real-time data pipelines
• Integrate and transform data from multiple sources including APIs, JSON, CSV, XLS, and other structured and semi-structured formats
• Design and document data models, data flows, and data dictionaries to support enterprise analytics
• Implement Lakehouse architecture using Medallion data modeling patterns
• Develop datasets and reporting pipelines supporting Power BI and enterprise analytics
• Maintain the health, security, and scalability of the Azure-based data platform
• Implement best practices for data governance, metadata management, lineage, and access control
• Build and maintain CI/CD pipelines for data infrastructure using tools such as GitHub Actions or CircleCI
• Implement monitoring, alerting, and observability for data pipelines and platform performance
• Optimize data pipelines for performance, scalability, and cost efficiency
• Work cross-functionally with engineering, product, and business teams to define and deliver data products
• Participate in Agile ceremonies including sprint planning, backlog refinement, and delivery cycles
• Mentor junior engineers and contribute to the ongoing development of the data engineering team
• Stay current on emerging technologies and best practices in data engineering

Qualifications

• 7+ years of professional experience in data engineering or data platform development
• Strong experience working in Azure environments, particularly: Azure Data Factory, Databricks, SQL Server / T-SQL
• Experience building scalable ETL / ELT data pipelines
• Experience integrating data from multiple sources including APIs, JSON, XML, CSV, and other formats
• Strong understanding of data warehousing, dimensional modeling, and Lakehouse architecture
• Experience with Power BI, SSRS, or other reporting platforms
• Hands-on experience with CI/CD pipelines and DataOps practices
• Familiarity with data governance, data quality, metadata management, and MDM
• Experience working in Agile development environments
• Strong communication and collaboration skills with the ability to work across technical and business teams
• Experience mentoring or guiding other engineers is a plus

Senior Developer, AI Evaluation & Cloud Infrastructure | Just Horizons Alliance

Join us to build the technical foundation for AI accountability.

The Role

Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.

We need a senior engineer to own the technical infrastructure end-to-end: learn what exists, close critical gaps, and build something that lasts.

The evaluation methodology is validated and in use. We're now at the stage where the systems need to mature alongside the research. This is the first dedicated infrastructure hire for this work, and you'll shape how it scales.

What You'll Do

Months 1–3: Learn the System

Map the current architecture with Sophia Zitman (AIEI Team Lead). Understand the evaluation methodology, the data flows, and the infrastructure that supports them. Identify what needs to evolve for multi-domain benchmarking—reproducibility, security posture, test coverage, deployment pipeline. Begin implementing the highest-priority improvements.

Months 4–6: Build for Scale

Architect the infrastructure to support the next phase of the Index. CI/CD that maintains stability as the system grows. IAM and secret management built for a production environment. Experiment tracking that makes every evaluation run auditable. Documentation that enables the research team to work independently.

Months 7–12: Expand

Multi-domain benchmarking across education, healthcare, finance, and other sectors. Reproducibility standards that meet external scientific scrutiny. A system the research team can extend without engineering support for every change. At this point, the infrastructure should be stable enough that you're focused on capability, not maintenance.

Why This Role Is Difficult

This is infrastructure for a scientific standard, not a product feature.

Correctness and delivery both matter. A bug in the evaluation engine doesn't break a feature, instead it invalidates a measurement. A flawed pipeline doesn't slow things down, it compromises the credibility of the research. At the same time, methodology that never runs in production has no impact. The role requires both rigor and momentum.

You're translating between disciplines. Your stakeholders are researchers, ethicists, and governance specialists. You'll need to take concepts like \"operationalizing an ethical construct\" and turn them into data models and pipelines. This is a translation problem as much as an engineering problem.

The work is novel. There's no existing system to reference. The AI Ethics Index is defining what rigorous AI evaluation looks like. You'll be making architectural decisions in areas where best practices don't yet exist.

You'll have full ownership. This is not a role where you're executing someone else's technical vision. You're setting the direction. That means autonomy, but it also means accountability.

You're probably the right person if

You've built evaluation systems or data pipelines that other people depended on for correctness, not just uptime

You're comfortable with GCP and have deployed containerized workloads in a real production context

You've worked with LLM APIs and understand their reliability and reproducibility characteristics

You can read a paper about measurement methodology and turn it into a working data structure

You build for durability. Your code is still running 18 months later because you thought about the next person

You've worked somewhere between 5 and 50 people and you're comfortable being the person who figures things out without a playbook

You find working on AI ethics infrastructure more interesting than building another e-commerce checkout flow

You're probably not the right fit if

Enterprise environments make up most of your experience. This is not a large-team context

You need clearly defined requirements before you can start. The requirements here evolve through conversation with ethicists

You're based on the West Coast US or expect West Coast US working hours

You mainly build user-facing APIs and features — this is systems and infrastructure work

You're looking for a high-growth startup where shipping speed is everything. This is a scientific organization. Correctness is everything.

Hard Skills

These are the technical capabilities you need going in — or need to be able to build up fast using an AI coding agent. We're not looking for someone who ticks every box. We're looking for someone who closes gaps quickly and knows how to learn.

• Python — strong enough to design systems architecture and reason about failure modes, even if you work with AI assistance for implementation details
• Google Cloud Platform — specifically Cloud Run, IAM design, secret management, and containerized workload deployment in a real production context
• API and model documentation — able to read, write, and navigate API specs and model documentation fluently; you know how to figure out how a system behaves from its documentation without needing someone to walk you through it
• Structured step-by-step reasoning — when you hit a complex problem, you decompose it immediately and visibly into logical steps; you don't disappear into your head and come back with an answer, you think out loud and in sequence, which makes collaboration with the ethics and research team possible
• LLM API integration — understanding the reliability, reproducibility, and failure characteristics of external model endpoints
• Data pipeline architecture — building evaluation or measurement systems where correctness is non-negotiable, not just data-moving
• Experiment tracking and reproducibility standards — always looking to improve the evaluation pipeline; you understand what needs to be tracked, why reproducibility matters scientifically, and you find the right approach for the context without being dogmatic about tooling
• Statistical reliability concepts — enough to understand what inter-rater reliability means for evaluation output and why reproducibility matters scientifically

What you get

The role: You'll work directly with Sophia Zitman (AIEI Team Lead) as the technical backbone of the AI Ethics Index. Full engineering ownership of the evaluation engine.

The comp: Base salary $110,000.

The team: Small, split between ethicists and engineers. You will interview with Janet Kang (Executive Director) and Sophia Zitman (AIEI Team Lead).

The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones. Collaborative but autonomous — Sophia won't micromanage, but she will hold you to a high standard of systems thinking.

The upside: You'll have built the technical foundation of what may become the globally referenced standard for AI system evaluation. That's a meaningful line on any CV — and a genuinely hard thing to have done.

Freelance Sales Director Global Technology Staffing & Remote Workforce

Location: Boston, Massachusetts, United States

Experience: 8+ Years

People Prime is a global talent solutions company specializing in helping organizations build high-performing technology teams through Remote hiring, Staff augmentation, and Offshore delivery models.

Headquartered in India, People Prime connects companies worldwide with highly skilled technology professionals across emerging and advanced digital domains. We enable organizations to scale faster by providing access to a curated network of experienced engineers, AI specialists, data professionals, and technology consultants who can work remotely or as part of distributed global teams.

People Prime focuses on enabling companies to hire high-quality remote technology talent from India, one of the world’s largest and fastest-growing technology talent markets. Through our strong recruitment ecosystem and technical screening process, we provide organizations with access to professionals across a wide range of digital and enterprise technologies.

1. Artificial Intelligence & Machine Learning: Machine Learning Engineers: Generative AI Engineers: Prompt Engineers: Natural Language Processing (NLP) Specialists: Computer Vision Engineers: AI Model Training & Fine-Tuning Experts
2. Data Engineering & Analytics: Data Engineers, Data Architects: Data Scientists: Big Data Specialists, Data Platform Engineers: Analytics & BI Professionals
3. Cloud & DevOps: Cloud Architects (AWS, Azure, GCP): DevOps Engineers: Platform Engineers, Kubernetes Specialists: Infrastructure Automation Experts
4. Software Engineering: Full Stack Developers: Backend Engineers: Frontend Engineers: Mobile Application Developers: Microservices & API Developers
5. Enterprise Platforms: SAP Consultants: Salesforce Experts: ServiceNow Professionals: ERP & Digital Transformation Specialists

Key Responsibilities:

• Identify and acquire new clients seeking technology staffing or remote engineering teams

• Generate opportunities for contract staffing, staff augmentation, and distributed engineering teams

• Develop relationships with technology companies, startups, and enterprise clients

• Present People Prime’s global talent and offshore delivery capabilities

• Build and manage a strong pipeline of staffing opportunities

• Collaborate with delivery and recruitment teams in India to fulfill client requirements

• Negotiate client contracts, rate cards, and service agreements

• Track hiring trends in AI, data engineering, cloud, and software development

Required Qualifications:

• 8+ years’ experience in IT staffing business development or recruitment sales

• Proven track record of generating staffing opportunities and closing new clients

• Strong network within technology companies, startups, or enterprise organizations

• Experience selling staff augmentation or contract staffing services

• Excellent communication, negotiation, and relationship management skills

Preferred Experience:

• Experience selling offshore technology talent or remote engineering teams

• Exposure to hiring in AI, data engineering, cloud, or software development domains

• Understanding of distributed workforce and remote hiring models

Success Metrics:

Success in this role will be measured by:

• New client acquisitions

• Remote staffing requirements generated

• Revenue from staffing engagements

• Successful onboarding of consultants

• Client retention and satisfaction

Performance expectation:

Minimum 4 Contract placements per month

Compensation:

USD 1500 Payable on Every AI/ Technology Contractor Successful onboarding ( Minimum 5 Onboards Expected Every Month )

6% of gross margin for the first 6 months of each engagement

Why Join People Prime:

• Sell high-demand global technology talent solutions

• Work with a scalable offshore delivery model with great cost advantage to clients

• High earning potential with strong commission structure

• Exposure to fast-growing sectors such as AI, cloud, and data engineering

• Opportunity to build long-term partnerships with global technology companies

Senior Software Engineer – Deployment & Reliability (Digital Pathology / Medical Imaging)

A fast-growing technology company operating in the digital pathology and medical imaging space is seeking a Senior Software Engineer to support the deployment, configuration, and long-term reliability of advanced imaging and AI-driven software systems.

This role sits at the intersection of software deployment, infrastructure engineering, and site reliability, ensuring complex software platforms are successfully installed, integrated with customer IT environments, and maintained at high levels of performance and stability.

You will work closely with engineering, customer support, and monitoring teams to ensure a smooth transition from system deployment to ongoing operational support while contributing to improvements that make deployments more scalable and reliable over time.

Key Responsibilities

Deployment & Configuration

• Lead end-to-end deployments of imaging, AI, and data management software systems at customer environments
• Configure and integrate servers, clusters, and storage systems within hospital or laboratory IT infrastructures
• Work with networking, authentication, storage, and security configurations to ensure successful installations
• Collaborate with field engineering teams during system installation and commissioning
• Develop standardized deployment playbooks, documentation, and validation checklists

System Reliability & Upgrades

• Manage software version rollouts, upgrades, and patching across deployed customer environments
• Work with monitoring and observability teams to track system performance and health
• Troubleshoot complex issues across multi-component systems including imaging software, AI inference pipelines, and storage layers
• Improve automation around upgrades, rollbacks, and maintenance processes

Engineering Collaboration & Continuous Improvement

• Identify recurring deployment or performance challenges and work with R&D teams to design long-term solutions
• Provide structured feedback from field deployments to improve product architecture and deployment workflows
• Validate new deployment tools, frameworks, and configuration approaches prior to wider rollout
• Contribute to improving the scalability and resilience of the overall platform

Customer IT & Cross-Functional Collaboration

• Serve as a technical liaison with customer IT teams regarding networking, infrastructure, security, and data access
• Ensure deployments comply with institutional IT policies and healthcare regulatory requirements
• Collaborate closely with support and monitoring teams to align escalation processes and root cause investigations
• Participate in post-deployment reviews to improve operational processes and reliability

Documentation & Knowledge Sharing

• Maintain detailed installation and configuration documentation
• Develop deployment guides, troubleshooting documentation, and internal knowledge resources
• Support and mentor field teams on standardized deployment and configuration practices

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related discipline
• 5+ years of experience in software deployment, DevOps, infrastructure engineering, or systems engineering
• Strong Linux (Ubuntu) administration and scripting skills
• Experience with containerization and orchestration technologies (Docker, Kubernetes)
• Experience with database technologies such as PostgreSQL or MongoDB
• Familiarity with web service configuration (Nginx or Apache)
• Solid understanding of networking concepts including VPNs, firewalls, and authentication systems
• Ability to troubleshoot complex distributed systems across software, infrastructure, and data layers
• Strong communication and collaboration skills when working with cross-functional teams and customer IT stakeholders

Preferred Experience

• Exposure to medical imaging systems, digital pathology, or healthcare technology environments
• Familiarity with DICOM or PACS systems
• Experience deploying or supporting AI/ML models in production environments
• Experience with observability and monitoring tools (Prometheus, Grafana, ELK)
• Knowledge of regulated environments and healthcare compliance frameworks (HIPAA, GDPR, IVDR)
• Experience supporting hardware and software integrated systems

Why This Role

This position offers the opportunity to work on advanced digital pathology and imaging technologies that support clinical diagnostics and research globally. The role combines hands-on technical deployment with the chance to influence how complex systems are designed, automated, and scaled across a growing global customer base.