Information Technology Jobs in Saugus
956 positions found — Page 43
Company Description:
FDR Consulting Group has over two decades of expertise in connecting legal professionals with opportunities, offering tailored job placement services for attorneys and practice groups.
Responsibilities:
Seeking a full time Patent Agent or Technology Specialist with a advanced degree (Ph.D.) preferred in computer science, electrical engineering or similar and have experience with AI, ML and/or will be working with clients to manage patent portfolios, drafting patent applications; conducting patentability, freedom-to-operate, invalidity search and analysis. Candidates work will include, analyzing technical documents to assist with patent prosecution, counseling, post-grant proceedings, and litigations.
Qualifications:
Excellent oral and written communication skills
Advanced Degree (Ph.D.) in Computer Science, Electrical Engineering or similar
1-2 years of Law firm experience
Clearance Requirement: Active DoD Clearance (Required)
Certification Requirement: IAT Level II certification required (or obtainable within 6 months of hire)
Position Overview
We are seeking a motivated Cloud Systems Engineer . This entry-level engineering role focuses on ensuring stability, scalability, and reliability of cloud-based systems supporting mission-critical applications.
The selected candidate will collaborate with senior engineering teams to support cloud platforms, assist with system integration activities, and maintain distributed virtual environments operating within secure enterprise networks.
Key Responsibilities
- Support stability, sustainability, and performance of enterprise cloud-based infrastructure and software systems
- Assist in system integration, verification, validation, and operational support activities
- Monitor and maintain distributed virtual machine environments across cloud platforms
- Implement proactive engineering mechanisms to maintain system health and availability
- Perform functional analysis, system evaluations, and technical trade studies
- Troubleshoot system performance, configuration, and operational issues
- Develop and maintain technical documentation, procedures, and runbooks
- Collaborate with engineering teams to improve automation and operational efficiency
- Ensure compliance with DoD cybersecurity standards and operational requirements
- Participate in continuous learning and technical development initiatives
Required Qualifications
- Bachelor's degree in computer science, Information Technology, Systems Engineering, or related field
- 1–2 year of experience in cloud systems, IT infrastructure, or systems engineering
- Active DoD Security Clearance (required at time of hire)
- Basic knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform
- Understanding of Windows or Linux operating systems
- Knowledge of networking fundamentals and virtualization concepts
- Strong analytical and problem-solving skills
- Ability to work effectively in a team-oriented DoD environment
- U.S. Citizenship required
Certification Requirements
- DoD IAT Level II Certification (Security+ CE or equivalent)
- Minimum one cloud certification within 6 months of hire, such as:
- AWS Certified Cloud Practitioner / Solutions Architect Associate
- Microsoft Azure Fundamentals / Azure Administrator
- Google Associate Cloud Engineer
Preferred Qualifications
- Internship or academic experience supporting cloud or infrastructure environments
- Exposure to VMware, Hyper-V, or virtualized environments
- Basic scripting experience (PowerShell, Python, or Bash)
- Familiarity with automation or Infrastructure-as-Code concepts
- Experience supporting Federal or DoD programs
Financial Highlights – Enjoy an Immediate Pay Raise and Professional Growth!
$10k Fast Start Bonus Per Month for 12 months, $120k First Year, requires one new commercial account with at least 250 employees, every two weeks.
$2,500 First Week Training Pay for the first five training days.
$500 per virtual appointment bonus with food with no bonus limit.
Up to $1500 per week for meeting minimum call and one qualified onsite appointment.
200% of the profit margin for the first 90 days of orders shipped.
40% to 59% of the profit margin after 90 days
Up to $10k new client account credits
Up to $5k new account donation credits
Up to $400 of gift cards for business building activities
GHA Technologies, Inc. has become the #1 Employee-Owned Value-Added Reseller in America. Past rewards have included #1 Microsoft Western Region VAR, #1 fastest growing company in Arizona, #69 on the CRN Solution Provider 500, #15 2018 CRN Fast Growth 150 List.
We sell the latest AI technologies from Nvidia, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, and Power Technologies! We also specialize in mission critical product procurement and integration services for some of the largest Corporate, Government, and Education clients in America! Our client base is a who's who of corporate America!
GHA employee owners will receive stock shares every year on top of our industry’s leading commissions, bonuses, and promotional offerings!
Mission critical, online, vast E Commerce distribution network coast-to-coast warehouse locations support just-in-time delivery.
Super convenient, orders placed by 9:00 p.m. EST (8:00 p.m. CST) can be received the next morning for in-stock items.
Secure, 24-hour access to your own personal portal customized with special pricing on more than 2 million top selling products from 3,500 manufacturers in the USA and across the globe.
We are currently HIRING experienced Sales Professionals nationwide with a minimum of three years direct technology sales experience.
We offer a highly lucrative earnings and benefits package with top salespeople earning between $96,000 to $2,000,000 annually. W-2 Employment, Medical, Dental, and HSA Benefits, 401K Retirement Plan, and GHA company stock ownership (ESOP) plan.
Please email your resume to and schedule a strictly confidential interview.
Visit us at:
Job Title: Cloud Developer
Job Description
We are seeking an AWS-focused engineer to build and operate a cloud analytics and dashboard layer for device and fleet data. Data lands in S3 and is queried primarily through Amazon Athena. You will own the end-to-end delivery of reliable datasets, SQL queries, and visualization dashboards used by engineering and operations teams. This role requires strong execution in a fast-paced, ambiguous environment, with a high bar for quality, operational excellence, and written communication.
Responsibilities
- Own dashboard and analytics deliverables end-to-end (design → build → test → release → operate).
- Build and maintain Amazon Athena SQL queries, views, and datasets that support filtering, drill-down analysis, and repeatable reporting.
- Develop and enhance dashboards using QuickSight and/or CloudWatch dashboards (or equivalent AWS-native visualization tooling).
- Define metrics/KPIs with stakeholders and translate requirements into clear, actionable visualizations.
- Improve cost and performance of analytics workflows (partition strategies, query optimization, efficient formats, and operational guardrails).
- Drive data quality and correctness: detect schema changes, missing partitions, late data, and regressions; write RCAs and implement durable fixes.
- Implement mechanisms that scale (dashboards as mechanisms, SLIs/SLOs where applicable, alarms, runbooks, and automated checks).
- Collaborate cross-functionally with teams responsible for ingestion/ETL; contribute to ETL as a plus (Lambda, Step Functions, scheduling).
Essential Skills
- 4+ years of relevant experience delivering dashboards and analytics solutions in AWS.
- Strong SQL proficiency with experience building maintainable, production-grade query logic.
- Hands-on experience with Amazon Athena and S3-based analytics workflows.
- Experience with QuickSight and/or CloudWatch dashboards (or comparable visualization tools integrated with AWS).
- Proficiency in TypeScript (expected usage mix approximately 60% TypeScript / 40% other technologies).
- Strong SDLC discipline: Git, code reviews, automated testing, and CI/CD.
- Strong troubleshooting and root-cause analysis skills; ability to drive issues to closure.
- Strong written communication (design notes, operational runbooks, incident summaries).
- Experience with AWS CDK (TypeScript) and Infrastructure as Code practices.
Additional Skills & Qualifications
- Experience building or supporting ETL pipelines using AWS Lambda, Step Functions, Glue, and/or EventBridge.
- Familiarity with IoT/telemetry data flows (device-to-cloud) and schema evolution patterns.
- Experience with observability (logs/metrics/alerts), operational excellence practices, and on-call readiness.
Work Environment
This role operates in a dynamic environment focusing on AWS technologies, including Amazon Athena, S3, QuickSight, CloudWatch, and AWS CDK. The position requires a high level of collaboration across teams, with a strong emphasis on quality and operational excellence. You will engage in cross-functional projects and contribute to the end-to-end analytics solutions within a fast-paced setting.
Job Title: Cloud Automation Engineer
Location: Boston, MA
Employment Type: Full-Time
Job Description
We are seeking an AWS-focused engineer to build and operate a cloud analytics and dashboard layer for device and fleet data. Data lands in S3 and is queried primarily through Amazon Athena. You will own the end-to-end delivery of reliable datasets, SQL queries, and visualization dashboards used by engineering and operations teams. This role requires strong execution in a fast-paced, ambiguous environment, with a high bar for quality, operational excellence, and written communication.
Responsibilities
- Own dashboard and analytics deliverables end-to-end (design → build → test → release → operate).
- Build and maintain Amazon Athena SQL queries, views, and datasets that support filtering, drill-down analysis, and repeatable reporting.
- Develop and enhance dashboards using QuickSight and/or CloudWatch dashboards (or equivalent AWS-native visualization tooling).
- Define metrics/KPIs with stakeholders and translate requirements into clear, actionable visualizations.
- Improve cost and performance of analytics workflows (partition strategies, query optimization, efficient formats, and operational guardrails).
- Drive data quality and correctness: detect schema changes, missing partitions, late data, and regressions; write RCAs and implement durable fixes.
- Implement mechanisms that scale (dashboards as mechanisms, SLIs/SLOs where applicable, alarms, runbooks, and automated checks).
- Collaborate cross-functionally with teams responsible for ingestion/ETL; contribute to ETL as a plus (Lambda, Step Functions, scheduling).
Essential Skills
- 4+ years of relevant experience delivering dashboards and analytics solutions in AWS.
- Strong SQL proficiency with experience building maintainable, production-grade query logic.
- Hands-on experience with Amazon Athena and S3-based analytics workflows.
- Experience with QuickSight and/or CloudWatch dashboards (or comparable visualization tools integrated with AWS).
- Proficiency in TypeScript (expected usage mix approximately 60% TypeScript / 40% other technologies).
- Strong SDLC discipline: Git, code reviews, automated testing, and CI/CD.
- Strong troubleshooting and root-cause analysis skills; ability to drive issues to closure.
- Strong written communication (design notes, operational runbooks, incident summaries).
- Experience with AWS CDK (TypeScript) and Infrastructure as Code practices.
Job Title: Cloud Developer
Location: Boston, MA
Employment Type: Full-Time
Job Description
We are seeking an AWS-focused engineer to build and operate a cloud analytics and dashboard layer for device and fleet data. Data lands in S3 and is queried primarily through Amazon Athena. You will own the end-to-end delivery of reliable datasets, SQL queries, and visualization dashboards used by engineering and operations teams. This role requires strong execution in a fast-paced, ambiguous environment, with a high bar for quality, operational excellence, and written communication.
Responsibilities
- Own dashboard and analytics deliverables end-to-end (design → build → test → release → operate).
- Build and maintain Amazon Athena SQL queries, views, and datasets that support filtering, drill-down analysis, and repeatable reporting.
- Develop and enhance dashboards using QuickSight and/or CloudWatch dashboards (or equivalent AWS-native visualization tooling).
- Define metrics/KPIs with stakeholders and translate requirements into clear, actionable visualizations.
- Improve cost and performance of analytics workflows (partition strategies, query optimization, efficient formats, and operational guardrails).
- Drive data quality and correctness: detect schema changes, missing partitions, late data, and regressions; write RCAs and implement durable fixes.
- Implement mechanisms that scale (dashboards as mechanisms, SLIs/SLOs where applicable, alarms, runbooks, and automated checks).
- Collaborate cross-functionally with teams responsible for ingestion/ETL; contribute to ETL as a plus (Lambda, Step Functions, scheduling).
Essential Skills
- 4+ years of relevant experience delivering dashboards and analytics solutions in AWS.
- Strong SQL proficiency with experience building maintainable, production-grade query logic.
- Hands-on experience with Amazon Athena and S3-based analytics workflows.
- Experience with QuickSight and/or CloudWatch dashboards (or comparable visualization tools integrated with AWS).
- Proficiency in TypeScript (expected usage mix approximately 60% TypeScript / 40% other technologies).
- Strong SDLC discipline: Git, code reviews, automated testing, and CI/CD.
- Strong troubleshooting and root-cause analysis skills; ability to drive issues to closure.
- Strong written communication (design notes, operational runbooks, incident summaries).
- Experience with AWS CDK (TypeScript) and Infrastructure as Code practices.
Embark on a transformative journey as our Sr. Domain Expert Lead, where intellectual rigor meets technological innovation. As a Sr. Domain Expert Lead, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team.
Key job responsibilities
• Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support
• Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization
• Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops
• Foster team excellence through mentorship and motivation of peers and junior team members
• Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs
• Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more.
• Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge.
• Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficiency
• Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , MA, Boston - 136, ,000.00 USD annually
USA, WA, BELLEVUE - 136, ,000.00 USD annually
The IT Project Manager is responsible for the end-to-end delivery of large-scale, cross-functional IT projects, including but not limited to ERP, WMS, MES, data integration, infrastructure, and manufacturing systems. The role requires hands-on project leadership, the ability to translate business needs into clear functional and technical requirements, and proven success managing risk, budget, timelines, and stakeholder expectations in a regulated manufacturing environment.
Project Leadership & Delivery
- Own full project lifecycle: intake, requirements, design, funding, build, testing, deployment, and stabilization
- Lead multiple concurrent IT projects with minimal supervision
- Ensure projects deliver measurable business outcomes tied to operational efficiency, compliance, and scalability
- Serve as the primary point of accountability for project success
Technical & Functional Requirements
- Develop and maintain detailed functional and technical specifications, including system workflows, integrations, data flows, and dependencies
- Partner closely with IT teams, vendors, and business owners to ensure solutions are technically sound and operationally viable
- Demonstrate working knowledge of manufacturing systems such as ERP, WMS, MES, EDI, labeling, automation, and reporting platforms
- Understand and manage system integrations, data accuracy, and end-to-end process impacts
Stakeholder Communication & Governance
- Create and deliver clear, concise project status reporting to project teams, business stakeholders, and executive sponsors
- Proactively identify, communicate, and escalate risks, constraints, and resource conflicts
- Facilitate decision-making by presenting options, tradeoffs, and recommendations backed by data
Schedule, Risk & Financial Management
- Develop, own, and actively manage detailed project schedules
- Identify potential bottlenecks, operational risks, and technology constraints early
- Build and manage project budgets, including business cases, funding approvals, monthly forecasts, and variance explanations
- Ensure adherence to internal controls, audit requirements, and governance standards
Cross-Functional Coordination
- Coordinate across IT infrastructure, applications, security, operations, quality, finance, and external vendors
- Ensure IT solutions align with manufacturing workflows, food safety requirements, and regulatory expectations
- Support change management and adoption efforts in an onsite production environment
Required Qualifications
Education
- Bachelor’s degree in Computer Science, Information Systems, Information Technology, or related technical field (required)
- Graduate degree or formal certification in Project Management, Information Systems, or Technology Management (preferred)
IT & Project Management Experience
- Minimum 3–5 years of direct IT project management experience, with documented success delivering complex technology projects
- Hands-on experience managing enterprise IT implementations (ERP, WMS, MES, or similar manufacturing systems)
- Demonstrated use of formal project management methodologies (PMBOK, Agile, Waterfall, or hybrid)
- Proven ability to independently manage scope, schedule, budget, risk, and vendor performance
- Strong understanding of manufacturing IT environments, including system integrations and data flows
Technical Competencies
- Solid understanding of:
- ERP / WMS / MES systems
- Data integration and system interoperability
- IT infrastructure and application dependencies
- Manufacturing and operational technology constraints
- Ability to translate business requirements into clear technical deliverables
Professional Skills
- Exceptional written and verbal communication skills across all organizational levels
- Strong task management and execution discipline
- High integrity, accountability, and transparency
- Collaborative mindset with the ability to influence without authority
- Commitment to continuous learning and staying current with IT and manufacturing best practices
Additional Requirements
- Must be legally authorized to work in the United States without sponsorship
- Reliable, punctual attendance is an essential function of the role
- Successful completion of interview process required
- Salary range: $85,000 – $120,000 annually
Enterprise Account Executive US
Series C Scale Up - AI Engineering
Salary: $300,000 – $400,000 OTE (50/50)
Location: United States – Remote
We’re partnering with an innovative deep-tech scale-up transforming how engineering teams run complex design/building processes.
Their platform enables engineering and R&D teams to run high-performance development dramatically faster than traditional tools, helping accelerate product innovation across industries like aerospace, automotive, semiconductors, and advanced manufacturing.
They’re now looking for a high-performing Enterprise Account Executive to drive growth across the US market.
What you’ll be doing
• Own the full enterprise sales cycle from prospecting through to closing
• Target large engineering-led organisations (5,000+ employees) across the US
• Sell directly to VPs of Engineering, Simulation Leaders, and R&D teams
• Lead technical evaluations, pilots, and proof-of-concepts with engineering stakeholders
• Build and execute a strategic territory plan to generate and convert pipeline
• Expand and grow relationships within enterprise accounts
What they’re looking for
• 5+ years experience in enterprise technology sales
• Experienced selling complex, strategic AI platforms into large enterprise organisations
• Major focus on new business and a track record of large quota overachievement
• Ability to learn complex new technologies and create value within technical audiences
• Proven track record closing mid/high-six figure enterprise deals
• Experience selling technical software to engineering, R&D, or technical teams
• Experience selling into aerospace, automotive, manufacturing, logistics, defense companies
• Thrives in a high-growth scale-up environment
*Follow Scout Global for more roles like this*
Job Profile Summary
The AWS Partner Sales Executive owns SoftServe’s AWS go-to-market execution within a defined region or industry. This role drives joint pipeline creation, converts partner-qualified leads into revenue, and strengthens field-level relationships with AWS stakeholders. The PSE serves as the primary liaison between SoftServe sales teams and AWS field sales to accelerate co-sell opportunities and portfolio growth.
Duties & Responsibilities
• Build and convert AWS co-sell pipeline, driving new logo acquisition and portfolio expansion
• Serve as the primary regional contact for AWS partner stakeholders and field sales teams
• Lead joint GTM planning, QBRs, account mapping, and integrated close strategies
• Manage partner performance metrics including pipeline, bookings, registrations, and ARR/MRR contribution
• Drive partner funding programs and optimize incentives to accelerate revenue
• Support marketing campaigns, account plans, and industry-specific positioning
Experience & Qualifications
• 7+ years in partner sales, alliance management, consulting, or technology sales
• Strong knowledge of cloud and enterprise technologies, preferably AWS
• Proven success driving GTM strategy, pipeline growth, and cross-functional collaboration
• Executive presence with ability to influence senior stakeholders
• AWS certifications preferred
Other Requirements
- Willingness to travel internationally
- A global mindset to operate effectively in a matrix environment
- Commitment to maintaining high levels of client satisfaction and business growth
This posting includes an anticipated salary range that SoftServe expects to offer for this position. The range provided reflects the base salary only. Final compensation within this range will be determined based on a number of factors, including, but not limited to: geographic location, relevant experience, education, certifications, skills, budget, and market conditions.
The anticipated salary range for this role is $170,000.00 – $210,000.00 annually, in line with our internal compensation framework and budget allocation for the role. Most candidates are offered a salary within this disclosed range. If the role is eligible for a variable pay plan, this would be considered separately and may provide additional earnings beyond the base salary range reflected here.
Please note, the information provided in this posting is a general summary and may not include all compensation elements or benefits associated with the position
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.
