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<h3>Job Description</h3>
Job DescriptionDevOps Engineer
U.S. GenAI startup, Cambridge Office
Full-Time Employment with We. We are committed to building a transformative AI platform that revolutionizes software development. Our goal is to enable you to have a long, impactful career with us, with opportunity for advancement. If you want a role where you can shape the future of AI-powered infrastructure, read on!
About Us
We are a Boston, MA based Generative AI Start-up on a mission to automate custom software creation to unlock the next industrial revolution. We're building an AI-powered platform capable of autonomously generating enterprise-grade software, powered by thousands of cooperative AI agents working in concert.
We’re backed by multiple tier 1 investors, have success as founders at our previous start-up, and hold dozens of Generative AI patents.
Location: 1 Kendall Square, Cambridge, MA (In-person role)
About the Role
We’re looking for an exceptional DevOps Engineer to architect and maintain the infrastructure that powers our revolutionary AI agent ecosystem. You’ll be instrumental in building scalable, resilient systems that support both our cutting-edge AI platform and modern applications. This role offers the unique opportunity to work at the intersection of traditional DevOps and emerging AI infrastructure, creating systems that enable thousands of AI agents to collaborate seamlessly.
As our DevOps Engineer, you’ll take ownership of our entire infrastructure stack—from Kubernetes orchestration to AI agent deployment pipelines. You’ll work directly with our engineering teams to ensure our platform can scale to support enterprise customers while maintaining the performance and reliability they demand.
What Success Looks Like
<ul>
<li>
Architect and implement robust Kubernetes infrastructure that scales effortlessly to support our growing AI agent ecosystem
</li>
<li>
Create sophisticated CI/CD pipelines that enable rapid, reliable deployment of both traditional services and AI agents
</li>
<li>
Develop Python-based automation to eliminate manual tasks and accelerate development velocity
</li>
<li>
Design monitoring and observability systems for deep insights into both infrastructure and AI agent performance
</li>
<li>
Optimize cloud infrastructure for cost-efficiency while maintaining enterprise-grade reliability
</li>
<li>
Collaborate effectively with development teams to improve developer experience and productivity
</li>
<li>
Proactively identify and resolve infrastructure bottlenecks before they impact customers
</li>
<li>
Establish infrastructure best practices to support rapid growth
</li>
<li>
Build systems that handle the unique challenges of AI workloads at scale
</li>
<li>
Maintain 99.9%+ uptime for critical production services
</li>
</ul>
Areas of Ownership
Core Infrastructure:
<ul>
<li>
Kubernetes cluster design, deployment, and management for AI and application workloads
</li>
<li>
Infrastructure as Code using Terraform for multi-cloud environments
</li>
<li>
Container orchestration and optimization for AI agent deployment
</li>
<li>
Network architecture and security for distributed systems
</li>
</ul>
Automation &amp; Tooling:
<ul>
<li>
Python-based automation scripts for infrastructure management
</li>
<li>
Helm chart development and maintenance for application deployment
</li>
<li>
CI/CD pipeline design using modern DevOps tools
</li>
<li>
Developer productivity tooling and automation
</li>
</ul>
Monitoring &amp; Reliability:
<ul>
<li>
Comprehensive monitoring, alerting, and tracing systems
</li>
<li>
Performance optimization for AI workloads
</li>
<li>
Incident response and disaster recovery planning
</li>
<li>
Cost optimization and resource management
</li>
</ul>
AI Infrastructure (Unique to Us):
<ul>
<li>
Infrastructure for AI agent orchestration and management
</li>
<li>
MLOps pipeline integration
</li>
<li>
Scalable systems for handling AI model deployment
</li>
<li>
Resource optimization for GPU/compute-intensive workloads
</li>
</ul>
Required Technical Experience
<ul>
<li>
5–8 years of DevOps/Infrastructure experience
</li>
<li>
Expert-level Python proficiency for automation and scripting
</li>
<li>
Deep Kubernetes expertise: deployment, scaling, troubleshooting, and optimization
</li>
<li>
Strong experience with Helm for application package management
</li>
<li>
Proven track record designing and implementing CI/CD pipelines
</li>
<li>
Hands-on experience with major cloud platforms (AWS, Azure, or GCP)
</li>
<li>
Terraform expertise for Infrastructure as Code
</li>
<li>
Strong Linux administration and containerization (Docker) skills
</li>
<li>
Experience with monitoring tools (Prometheus, Grafana, ELK stack)
</li>
<li>
Understanding of microservices architecture and distributed systems
</li>
</ul>
Ways to Stand Out
<ul>
<li>
CKA (Certified Kubernetes Administrator) or CKAD certification
</li>
<li>
Experience with MLOps tools (MLflow, Kubeflow, Ray, etc.)
</li>
<li>
Knowledge of AI/ML infrastructure requirements and optimization
</li>
<li>
Experience with GPU orchestration and management
</li>
<li>
API gateway and service mesh implementation (Istio, Linkerd)
</li>
<li>
GitOps experience (ArgoCD, Flux)
</li>
<li>
Experience scaling infrastructure for high-growth startups
</li>
<li>
Contributions to open-source infrastructure projects
</li>
<li>
Experience with multi-region, highly available deployments
</li>
<li>
Background in security and compliance (SOC2, HIPAA)
</li>
</ul>
You’ll Get…
<ul>
<li>
Competitive Salary
</li>
<li>
Comprehensive health, dental, and vision insurance
</li>
<li>
401(k) with company match
</li>
<li>
Flexible PTO policy
</li>
<li>
$5,000 annual professional development budget
</li>
<li>
Latest hardware and software tools
</li>
<li>
The opportunity to shape infrastructure for the future of software development
</li>
<li>
Work with cutting-edge AI technology and world-class engineers
</li>
<li>
Modern office in Cambridge’s innovation hub
</li>
<li>
Regular team events and activities
</li>
<li>
The chance to solve novel infrastructure challenges at the intersection of DevOps and AI
</li>
</ul>
Culture
Who we are: Our founding team consists of a Serial Gen AI Inventor and a successful Serial Entrepreneur. We work hard, maintain a curious mindset, and believe in a low-ego, high-output approach.
We move fast. Time is our most precious asset. We make decisions quickly and iterate rapidly, believing that a good decision today beats a perfect decision next week.
We have a Championship Mindset. We operate like a professional team—winning together by maintaining high standards, supporting each other, and staying laser-focused on our mission.
We have a Passion for Invention. As technologists pushing the boundaries of what’s possible with AI, we thrive on solving problems that haven’t been solved before.
What We Ask of You
This role requires someone who thrives in ambiguity and loves tackling unprecedented challenges. You’ll be building infrastructure for a type of platform that’s never existed before—one where thousands of AI agents collaborate to write software. This means being comfortable with rapid change, continuous learning, and creative problem-solving.
You should be excited about working independently while collaborating in-person with our team at our Cambridge headquarters. The ability to communicate complex technical concepts clearly and work effectively with both technical and non-technical stakeholders is essential.
To Apply
Apply with your resume and a brief note about:
<ul>
<li>
Your most challenging infrastructure project and how you solved it
</li>
<li>
Why you’re excited about building infrastructure for AI-powered software development
</li>
</ul>
Interview Process
Here’s what you can expect:
<ol>
<li>
Initial screening call (30 minutes)
</li>
<li>
Technical discussion with our team (45 minutes)
</li>
<li>
Deep dive system design (60 minutes)
</li>
<li>
Final conversation with leadership (45 minutes)
</li>
<li>
Offer discussion
</li>
</ol>
We are an equal opportunity employer committed to building a diverse and inclusive team.

DevOps Engineer

<h3>Job Description</h3>
Job DescriptionSalary: 
Embedded Software Co-op
 
Job Summary:
Specter Aerospace is seeking an Embedded Software Co-op (4-6+ month cycle) to be a primary contributor to the development of various portions of the avionics software stack. This position will be a primary contributor to critical flight software that is required for the delivery of a complete hypersonic flight vehicle. You will be a part of a rapidly growing team and will have the opportunity to experience many different elements of avionics systems.
About Specter Aerospace:
Specter Aerospace is building the next generation of hypersonic vehicles for defense and commercial applications. Specter is headquartered in Peabody, MA, just north of Boston, where it leverages its advanced propulsion technologies, manufacturing, and testing capabilities to rapidly develop supersonic and hypersonic systems. Funded by a mix of government R&amp;D organizations, commercial customers, and private funding, Specter is a growing aerospace and defense startup. Close relationships with MIT, Notre Dame, AFRL, NRL, ANL, and other research organizations provide access to cutting-edge developments, facilities, and personnel. Specter is expanding its team in preparation for flight testing and full-scale production.
 
Role &amp; Responsibilities:
<ul>
<li>Work in a rapidly growing startup company developing avionics systems for vehicles using advanced propulsion systems</li>
<li>Develop and test software for controllers within a hypersonic flight vehicle avionic system</li>
<li>Take ownership of software development and integration for critical systems throughout the vehicle and related ground-support systems</li>
</ul>
<ul>
<li>Interface with electrical, GNC, and test engineering teams to refine requirements, define technical scope, and ensure complete system functionality</li>
<li>Establish testing protocols to conduct shakedowns, debug, and validate software development</li>
<li>Participate in technical meetings, engage in technical discussions, and contribute perspectives</li>
</ul>
 
Job Requirements
<ul>
<li>Pursuing a bachelors degree in computer science, computer engineering, or electrical engineering</li>
<li>Previous experience with fundamental coding principles in one or more languages</li>
<li>Direct experience with embedded languages such as C/C++ deployed on ARM-based embedded microcontrollers</li>
<li>Previous experience applying software development skills in a lab or student organization</li>
</ul>
<ul>
<li>Comfort with project autonomy and self-management amidst changing requirements</li>
<li>Strong collaborative skills and a drive to produce quality work</li>
<li>Ability to obtain a DoD security clearance (U.S. Citizenship required)</li>
</ul>
Desired Skills
<ul>
<li>Previous professional OR student team leadership experience relevant to the requirements for this position</li>
<li>Familiarity with developing and implementing real-time operating systems (RTOS)</li>
<li>Experience with deploying embedded software to multi-core systems</li>
<li>Knowledge of data scripting languages such as MATLAB or Python</li>
<li>Experience with implementing FPGAs within a larger computational system</li>
<li>Previous experience with lab equipment, such as function generators, power supplies and oscilloscopes</li>
</ul>

Embedded Software Co-op Spring 2026

<h3>Job Description</h3>
Job Description
Key Qualifications / Skills: · Extensive hands-on experience analyzing and interpreting investment data with strong knowledge of the Investment Management industry · 8+ years of Investment Management experience. · Comprehensive data analysis skills with ability to detect anomalies, patterns, and data quality issues. · Strong SQL skills Experience with Snowflake is a plus. · Excellent communication skills including the ability to communicate effectively in both formal and informal contexts tailored for the audience. · Knowledge of Data Governance &amp; Data Quality and the relevant tools. · Hands-on experience in project management · Ability to manage enterprise scale data projects. Preferred Skills: · Experience working with positions, trades, transactions datasets · Familiar with Agile process and JIRA
Position Overview: The Data Analyst works as part of the Data Platform Team within the Data &amp; Analytics Group. The primary responsibilities are to analyze enterprise and vendor datasets, understand data characteristics and methodologies, and collaborate across business and technology teams to manage data onboarding and data lifecycle. The analyst will work on analyzing data profiles and data cleansing and quality check requirements, working with the dev team to build and enhance data pipelines while maintaining proper quality and control around the data sets. Primary Responsibilities: · End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance. · Interact with business stakeholders to identify, prioritize, and address data-related needs and issues. · Document business requirements and use cases for data-related projects. · Review, analyze data consumption patterns for enterprise core data in the IM Data Warehouse. · Coordinate with data owners and other teams to implement solutions. · Coordinate the onboarding of data from various internal / external sources into the central repository. · Work closely with Data Owners/Owner delegates on data analysis and development data quality (DQ) rules. Work with IT on enhancing DQ controls. · Manage change control process and participate in user acceptance testing (UAT) activities. · Support other DAG initiatives.

Data Analyst

<h3>Job Description</h3>
Job DescriptionRequirement Details:&nbsp;Role: SAP FICO - Costing Lead&nbsp;Location: Lynnfield,&nbsp;MassachusettsDuration: 6 monthsRate: Open&nbsp;+ expensesVisa: USC and GCJob Description:
<ul>
<li>
Lead the configuration, implementation, and optimization of SAP S/4HANA FICO modules.
</li>
<li>
Act as the primary liaison between the finance department and SAP technical teams.
</li>
<li>
Supervise a team of FICO consultants while ensuring effective cross-functional integration with modules such as SD, MM, PP, PM, and EWM.
</li>
<li>
Design and manage cost accounting models tailored to dairy operations, including raw milk valuation and yield analysis.
</li>
<li>
Identify and implement process improvements in financial reporting, product costing, and asset management.
</li>
<li>
Oversee system integration, data migration, and validation efforts to ensure accurate financial data.
</li>
<li>
Collaborate with IT and business stakeholders to manage project timelines, budgets, and deliverables.
</li>
<li>
Conduct end-user training, drive change management initiatives, and provide post-go-live support.
</li>
<li>
Ensure compliance with internal controls, accounting standards, and regulatory guidelines.
</li>
<li>
Proactively enhance professional skills and stay updated with SAP technologies and industry best practices.
</li>
</ul>
Qualifications:
<ul>
<li>
Minimum of 10 years of hands-on experience with SAP FICO, including at least one full lifecycle implementation of SAP S/4HANA.
</li>
<li>
In-depth expertise in cost accounting and product costing, ideally within the dairy or manufacturing sectors.
</li>
<li>
Solid understanding of SAP Activate methodology and Agile project execution.
</li>
<li>
Experience working with SAP Treasury and integrating third-party financial systems.
</li>
<li>
A bachelor’s degree in Accounting, Finance, or Information Systems is required; a CPA or MBA is highly preferred.
</li>
</ul>

SAP FICO - Costing Lead

<h3>Job Description</h3>
Job Description
Job Description:
Top required skills based on interviews and feedback (Client want to see experience around all of this): 
<ul>
<li>Healthcare Payor / Provider client experience REQUIRED.</li>
<li>Deep experience working as an AWS Data Solution Architect with 5+ years AWS Cloud. Must excel in client/ stakeholder interactions, bridging the gap between technical complexities and business requirements. Clear and concise communication of technical decisions to non-technical stakeholders will be&nbsp;crucial&nbsp;for success and successful adoption</li>
<li>10+ years of creating data engineering solutions, ETL/ELT pipelines on multi-terabyte SQL/NoSQL databases, data warehouse environment</li>
<li>Data Warehouse / Data Platforms (Kafka and Kinesis required) &nbsp;- They have NO INTEREST in folks with just Azure or GCP</li>
<li>Hands-on experience with building AWS POCs for data solutions which include:</li>
<li>Moving legacy on-prem data platforms to the cloud</li>
<li>ETL / Data Modeling / Data Parsing</li>
<li>Data streaming / Realtime data transfer</li>
<li>Business side interaction-Comfortable talking with Business stakeholders and working with them on POCs to gather data requirement and define future state</li>
<li>Experience with Aurora DB loads in real-time/streaming (Kafka, Kinesis). </li>
<li>Experience with data parsing in Json or xml.</li>
</ul>
Responsibilities
<ul>
<li>Creates and maintains overall data &amp; analytics solutions for applications/products across multiple projects of medium complexity.</li>
<li>Performs POC to establish standard data &amp; analytics solution patterns that can be leveraged for multiple products and applications.</li>
<li>Ensures that the design is consistent with the overall enterprise architecture.</li>
<li>Responsible for securing approvals from review boards for the data &amp; analytics solutions</li>
<li>Partners with peer solution architects, engineering, product, operations teams to build feasible &amp; scalable solutions.</li>
<li>Research and documents architecturally significant aspects/views of the systems</li>
<li>Ensures consistent use of technologies and platforms within data &amp; analytics ecosystems.</li>
<li>Leads or participates in project planning of architecture and design activities and provides estimates.</li>
<li>Contributes to creation of our IT Roadmap</li>
<li>Responsible for application planning and platform management</li>
<li>Establishes enterprise level Data Security, Master Data Management and Reference Data Management guidelines.</li>
<li>Translates detailed business requirements into optimal technology solutions using AWS services, Lambda, EC2,Glue and other leading open-source tools and technologies.</li>
<li>Manages technical delivery for projects, designs processes, manage and drive execution with help of consultants and associates.</li>
<li>Diagnose and address complex problems, including performance issues, scale, and drive to resolution to meet business initiatives.</li>
<li>Assist data analysts and end users across all functional areas in identifying long-term, strategic data needs for the enterprise, defining how the data is related to the business processes and developing a conceptual and functional model of the data.</li>
<li>Assist and advocate for bringing new technologies for data management, governance, and usage.</li>
<li>Work hands on with emerging technologies during software evaluations, PoCs and pilots.</li>
<li>Ensure that data is secure and protected from unauthorize access or modification.</li>
</ul>
 Required Technical Skills
<ul>
<li>Minimum 8 years of experience in data, analytics, AI/ML, insights, business intelligence, data warehouse products, platforms, and applications.</li>
<li>Minimum 5 years of experience in working as Solution/Data Architect on cloud platforms (AWS is highly desirable).</li>
<li>Minimum 4 years of experience with ETL/ELT design and development using tools like Talend, Informatica, AWS Glue, Oracle Data Integrator (ODI) or equivalent.</li>
<li>Minimum 5 years of experience in database architecture using relational SQL (e.g. Oracle, PostgreSQL, MySQL), and NoSQL (DynamoDB, MongoDB, Elasticsearch).</li>
<li>Minimum 4 years of experience with programming languages Node.js, Python, Java or Scala.</li>
<li>Minimum 3 years of experience with building applicating with serverless architecture on AWS platforms using Athena, Glue, EC2, Lamda, Kinesis etc..</li>
<li>Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g., Apache Aurora, Slurm.</li>
<li>Minimum 4 years of solutioning experience in AWS Cloud environment leveraging multiple services for storage, processing, analyzing large volume of data.</li>
<li>Strong database architecture, critical thinking, and problem-solving abilities, along with an ability to handle ambiguous and evolving requirements.</li>
<li>Minimum 2 years of experience with building solutions using tools like Vizio,&nbsp;Draw.io&nbsp;and Miro.</li>
<li>Experience working with RESTful API and general service-oriented architectures.</li>
<li>Experience with DevOps, Continuous Integration and Continuous Delivery technologies is desirable.</li>
<li>AWS Solution Architect certification (associate &amp; above) is highly desirable.</li>
<li>Healthcare domain knowledge required.</li>
<li>Excellent verbal and written communication skills.</li>
</ul>

AWS Data Solution Architect

<h3>Job Description</h3>
Job Description
Role: Sr Python Developer – AI Focus
Job Type: Contract on W2
Location: Woburn, MA (Onsite)
Job Description:
<ul>
<li>Develop automation scripts and tools using Python.</li>
<li>Build UI components in Java and Rust.</li>
<li>Use AI to generate boilerplate code, then refine for cohesion and standards.</li>
<li>Integrate APIs and deliver output aligned with business needs.</li>
<li>Understand Power BI and analytics to shape product output.</li>
<li>Focused on product development over data pipelines.</li>
</ul>
Operates across multiple domains; not single-threaded.

Sr Python Developer AI Focus

<h3>Job Description</h3>
Job Description
Job Title: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;CyberArk IT Project Manager
Location: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Boston MA (1-3 days a week onsite) Type: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Long Term Contract&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 
Job Description:
We are seeking a highly experienced IT Project Manager with deep CyberArk implementation and integration expertise to lead and deliver critical Identity and Access Management (IAM) initiatives across the enterprise. The ideal candidate will bring 10+ years of IT program/project management experience, including 3–5+ years specifically managing CyberArk-related deployments or privileged access management programs within large-scale environments.
This role will serve as a key delivery leader, collaborating with security architects, infrastructure engineers, application owners, and vendors to ensure the successful execution of PAM strategies that support enterprise security goals.
Key Responsibilities:
<ul>
<li>CyberArk Program Leadership</li>
<li>Lead full lifecycle delivery of CyberArk Privileged Access Management projects including Core PAS, EPM (Endpoint Privilege Manager), PSM (Privileged Session Manager), CPM (Central Policy Manager), and Conjur integrations.</li>
<li>Manage upgrades, policy configurations, vault integrations, onboarding/offboarding of privileged accounts, and third-party access management.</li>
<li>Collaborate with Cybersecurity and Identity &amp; Access Management (IAM) teams to define project scope, roadmaps, and success criteria aligned to enterprise security policies and compliance frameworks.</li>
<li>Program &amp; Project Management</li>
<li>Develop integrated project plans across multiple teams and systems—ensuring proper dependencies, timelines, and resource allocation.</li>
<li>Apply Agile, Waterfall, or hybrid methodologies depending on project type and organizational structure.</li>
<li>Drive daily execution, stakeholder engagement, and risk management throughout all phases of delivery.</li>
<li>Ensure documentation, artifacts, and reports meet internal governance and audit standards.</li>
<li>Stakeholder &amp; Vendor Management</li>
<li>Serve as the primary point of contact for internal stakeholders and CyberArk professional services, MSSPs, and third-party integrators.</li>
<li>Oversee vendor SLAs, deliverables, costs, and licensing alignment with project milestones.</li>
<li>Lead integration efforts with Active Directory, SIEM, ticketing systems (ServiceNow), and cloud platforms (AWS, Azure, GCP).</li>
<li>Security &amp; Technical Oversight</li>
<li>Ensure project designs align with cybersecurity standards, audit requirements, and regulatory controls (SOX, ISO 27001, NIST, etc.).</li>
<li>Understand technical elements of CyberArk architecture, including infrastructure, vault design, and privileged access flows.</li>
<li>Support user training, UAT, and change management processes related to PAM and broader IAM functions.</li>
<li>Financial &amp; Operational Management</li>
<li>Maintain budgets, forecasts, and reporting metrics for CyberArk and security-focused programs.</li>
<li>Track and report on key KPIs and performance indicators to executives and governance boards.</li>
<li>Identify cost optimization opportunities through licensing review, automation, and vendor consolidation.</li>
</ul>
Required Qualifications:
<ul>
<li>Bachelor’s or Master’s degree in Information Technology, Cybersecurity, or Business.</li>
<li>10+ years of experience in IT project/program management with increasing responsibility.</li>
<li>5+ years of experience managing complex IT security programs.</li>
<li>3–5+ years of hands-on experience managing CyberArk deployments and integrations (Core PAS, CPM, PSM, EPM, and/or Conjur).</li>
<li>Proven ability to manage large-scale identity, security, and infrastructure transformation programs.</li>
<li>Proficient in project management tools (Jira, MS Project, Smartsheet, etc.).</li>
<li>Deep understanding of IT infrastructure, networking, and application ecosystems.</li>
</ul>
Preferred Skills &amp; Certifications:
<ul>
<li>CyberArk Certification (e.g., CyberArk Defender, Sentry, or Guardian).</li>
<li>PMP or Prince2 certification.</li>
<li>Familiarity with ITIL, SOC2, NIST 800-53, or other regulatory frameworks.</li>
<li>Experience leading programs in matrixed, multi-vendor, and multi-cloud environments.</li>
<li>Strong executive communication, stakeholder management, and reporting skills.</li>
<li>Ability to lead technical discussions, resolve ambiguity, and drive decision-making across cross-functional teams.</li>
</ul>

CyberArk IT Project Manager :: Boston MA :: Long Term Contract

<h3>Job Description</h3>
Job Description
Role Description:
SAP MM Consultant works closely with business users to understand their requirements for procurement, inventory, and supply chain management.
Work on different projects like Deployment, Roll Outs, Transition and Enhancements.
Design, implement, and configure SAP MM modules according to business needs, ensuring seamless integration with other SAP modules like FI/CO, SD, and PP.
Develop and implement customizations by closely working with Developers to meet specific business requirements, including creating new Z- transactions, enhancements, and batch jobs.
Conduct unit, integration, and system integration testing to ensure the system functions correctly and supports business processes.
Consultants provide ongoing support to end-users, resolving issues in Hyper Care period, and providing training on the SAP MM module.
Maintain functional documentation, including user manuals and configuration guides.
Work closely with data migration personnel to lead customers through the data mapping process.
Act as a liaison between business functions and the technical team, ensuring effective communication and collaboration.
Consultants proactively identify and propose solutions to improve business processes and system enhancements.

SAP MM Consultant

<h3>Job Description</h3>
Job Description
Job Title: Senior ETL/ Informatica Consultant - Snowflake
Location: Quincy, MA (Hybrid) Duration: 6-12+ Months (Contract)
Interview: Video Interview
Visa- USC Only
Job Description
Minimum experience/skills:
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5+ years of experience in Design and development of Data pipelines, Cloud Data Architecture, Data warehousing, Data modeling, ETL, enterprise and business information system architectures, and system engineering 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Thorough knowledge and Implementation experience of data warehouse and Enterprise Data architecture principles, specifically Decentralized data architectures like Data Mesh. 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3-5 years of experience developing Cloud-based (AWS) data solutions. 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5+ years of Cloud database platform experience such as Snowflake. 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience in creating and maintaining end-to-end data pipelines. 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong communication skills comfortable explaining/proposing solutions to technical stakeholders, vendors, and business consumers. 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Proficiency with Unix, Linux, and shell scripting 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience working with a large, multi-terabyte enterprise data platform in Cloud. 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Clear understanding on system administration, database administration, storage architectures, backup &amp; recovery, and networking.
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3-5 years of experience in Informatica (IICS) ETL, GitHub(CI/CD) and Airflow (Orchestration) experience. 
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience working with highly sensitive health care information and familiar with HIPAA and other data privacy controls. 
Preferred experience/skills:
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Amazon Web Services (AWS) Certification or Cloud Data Engineer Certification
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Informatica (IICS) and Airflow (Orchestration) experience
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Snowflake certification
•&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Cognos and/or Tableau reporting experience

Senior ETL/ Informatica Consultant (Snowflake) in Quincy, MA (Hybrid) :: USC Only

<h3>Job Description</h3>
Job Description
Job Title: HelpDesk Analyst Location: Needham, MA Duration: 3 Months with possible extension
Job responsibilities:
1. Inventory &amp; Assessment
o Catalog all IT assets in the existing closets.
o Identify devices for retention, decommissioning, or recycling.
2. Data Sanitization
o Wipe all laptops following industry standards (NIST 800-88)
o Provide certification of data erasure for compliance.
o Ensure no recoverable data remains before disposal.
3. Equipment Relocation
o Move IT assets from the 2nd-floor closets to the 1st-floor secure closet.
o Organize equipment efficiently within the reduced space.
o Confirm proper labeling in the new IT closet.
4. Recycling &amp; Disposal
o Work with a certified e-waste recycler for environmentally responsible disposal.
o Confirm that all hardware components are recycled or disposed of per regulations. (NIST 800-88)
o Recycling company provides documentation of the disposal assets to IDC.
5. Documentation
o Ensure compliance with company and regulatory standards using form NIST 800-88.
&nbsp; Additional Helpdesk Tasks:
<ul>
<li>Prepping and Shipping out laptops to employees.</li>
<li>Checking in returned laptops for inventory and processing.</li>
<li>Working on task-related tickets, which would free up the internal Helpdesk to focus on tier 2, tier 3 and tier 4 tickets / issues.</li>
</ul>
Requirements:
<ul>
<li>Minimum of 3-5 years of experience within an IT organization, in a technical support and customer-facing role.</li>
<li>Demonstrated experience resolving software and hardware problems within a technical environment.</li>
</ul>

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