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<h3>Job Description</h3>
Required Skills &amp; Experience:
<ul>
<li>10 years of experience in software quality assurance.</li>
<li>Strong experience in automating REST APIs and backend services.</li>
<li>Proven experience with load testing tools like JMeter.</li>
</ul>
 
 Good to have: 
<ul>
<li>Leverage AI tools, including LLM and AI agents, to improve test automation processes.</li>
<li>Good to have hands-on experience with GitHub Copilot or any AI IDEs in automation.</li>
<li>Experience with microservices architecture and testing.</li>
<li>Familiarity with automation frameworks such as Selenium, Appium, and Cucumber.</li>
<li>Familiarity with Agile development methodologies.</li>
</ul>

Backend Software Automation Engineer

<h3>Job Description</h3>
Work schedule: Hybrid
 
Location: Candidates hired for this position must reside in MA/NH/RI
 
Key Responsibilities:
<ul>
<li>Performance Tuning: Monitor and optimize performance, including query performance, resource utilization, and storage management.</li>
<li>User and Access Management: Manage user access, roles, and permissions to ensure data security and compliance with organizational policies.</li>
<li>Data Integration: Support and manage data integration processes, including data loading, transformation, and extraction.</li>
<li>Troubleshooting and Support: Provide technical support and troubleshooting for Snowflake-related issues, including resolving performance bottlenecks and query optimization.</li>
<li>Documentation and Reporting: Maintain detailed documentation of system configurations, procedures, and changes. Generate and deliver regular reports on system performance and usage.</li>
<li>Collaboration: Work closely with data engineers, analysts, and other IT professionals to ensure seamless integration and optimal performance of the Snowflake environment.</li>
<li>Best Practices: Stay up to date with Snowflake best practices and industry trends. Recommend and implement improvements and upgrades to enhance system functionality and performance.</li>
<li>Qualifications and Experience:</li>
<li>5+ years of experience in data architecture, data engineering, or database development.</li>
<li>2+ years of hands-on experience with Snowflake, including data modeling, performance tuning, and security.</li>
<li>At a minimum Bachelor’s degree in Computer Science, Information Technology, or related field.</li>
<li>Experience with source control tools (GitHub preferred), ETL/ELT tools and cloud platforms (AWS preferred).</li>
<li>Experience or exposure to AI tools.</li>
<li>Deep understanding of data warehousing concepts, dimensional modeling, and analytics.</li>
<li>Excellent problem-solving and communication skills.</li>
<li>Experience integrating Snowflake with BI and reporting tools is a plus</li>
</ul>
 
 
 
<ul>
<li>Required Skills:</li>
<li>Strong proficiency in Snowflake architecture, features, and capabilities.</li>
<li>Knowledge of SQL and Snowflake-specific query optimization.</li>
<li>Experience with ETL tools and data integration processes.</li>
<li>Strong proficiency in SQL and Python.</li>
<li>Strong Database design and data modelling experience. Experience with data modeling tools.</li>
<li>Ability to identify and drive continuous improvements.</li>
<li>Strong problem solving and analytical skills.</li>
<li>Demonstrated process-oriented and strategic thinking skills.</li>
<li>Strong motivation and a desire to continuously learn and grow.</li>
<li>Knowledge of Snowflake security features including access control, authentication, authorization, encryption, masking, secure view, etc.</li>
<li>Experience working in AWS cloud environments.</li>
<li>Experience working with Power BI and other BI, data visualization, and reporting tools.</li>
<li>Business requirement gathering and aligning to solutions delivery.</li>
<li>Experience with data integration solutions and tools, data pipelines, and modern ways of automating data using cloud based and on-premises technologies.</li>
<li>Experience integrating Snowflake with an identity and access management program such as Azure IDP is a plus.</li>
<li>Experience with other relational database management systems, cloud data warehouses and big data platforms is a plus.</li>
</ul>
 
<ul>
<li>Analytical Skills: Excellent problem-solving and analytical skills with strong attention to detail.</li>
<li>Communication: Effective communication skills, both written and verbal, with the ability to convey complex technical information to non-technical stakeholders.</li>
<li>Teamwork: Ability to work independently and collaboratively in a fast-paced environment.</li>
</ul>
Preferred Skills:
<ul>
<li>Snowflake certification (e.g., SnowPro Core or Advanced Certification).</li>
</ul>

Software Engineer

<h3>Job Description</h3>
FrontRunnerHC finds, verifies, and fixes patient data before care begins. We automate workflows for healthcare teams, so every visit starts with the right coverage. Our platform fits neatly into your existing workflow, giving your people more time to deliver a better, more supportive patient experience. 
 
FrontRunnerHC is a close-knit team that values clear thinking, steady follow-through, and shared ownership. We work side by side, support each other, and stay focused on what matters. We’ve grown fast and earned five straight spots on Inc.’s list of America’s fastest-growing companies, but what people notice most is the way we work, with smart teammates who care about doing the right thing for our customers and each other. 
 
Position Summary
The Full Stack Development Engineer is responsible for the design, development, implementation, and support of web application frameworks that integrate the front-end user experience with back-end services and data. The position requires close collaboration with product managers, UI/UX designers, front-end developers, and back-end engineers to ensure cohesive, scalable, and maintainable software solutions.
 
Essential Duties and Responsibilities
Design, Develop, and Maintain Applications
<ul>
<li>Build, implement, and support both front-end and back-end components of web applications, ensuring alignment between UI/UX and back-end services.</li>
<li>Develop, maintain, and optimize RESTful APIs using Python and FastAPI.</li>
<li>Integrate third-party APIs and external services as required.</li>
</ul>
Database Management
<ul>
<li>Design, implement, and maintain relational database systems (e.g., PostgreSQL), including data modeling, indexing, and query optimization.</li>
</ul>
Collaboration and Integration
<ul>
<li>Work with front-end developers using React to ensure seamless integration of user-facing components with backend functionality.</li>
<li>Participate in technical planning and architecture discussions to guide development direction.</li>
</ul>
Code Quality and Reviews
<ul>
<li>Write clean, maintainable, and testable code following industry best practices.</li>
<li>Conduct code reviews for other developers to ensure quality, maintainability, and adherence to coding standards.</li>
</ul>
Performance, Debugging, and Optimization
<ul>
<li>Identify, troubleshoot, and resolve software defects and performance bottlenecks.</li>
<li>Implement solutions that improve application reliability, security, and scalability.</li>
</ul>
SDLC Responsibilities
<ul>
<li>Participate fully in all phases of the software development life cycle, including requirements analysis, design, development, testing, deployment, and maintenance.</li>
<li>Write and maintain technical documentation, including system design diagrams, API specifications, and deployment guides.</li>
<li>Contribute to test planning, automated testing efforts, and user acceptance testing processes.</li>
<li>Assist in creating and maintaining CI/CD pipelines to streamline deployment processes.</li>
<li>Support release management, version control, and configuration management activities.</li>
</ul>
Team Participation
<ul>
<li>Collaborate in daily stand-ups, sprint planning, and retrospectives.</li>
<li>Communicate effectively with team members, stakeholders, and product management to ensure project alignment.</li>
</ul>
 
Minimum Qualifications
<ul>
<li>Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience strongly preferred</li>
<li>At least 4 years of professional experience in full stack or back-end software development.</li>
<li>Proficiency in Python and FastAPI for backend development.</li>
<li>Experience with React and related front-end integration.</li>
<li>Strong understanding of relational databases, specifically PostgreSQL.</li>
<li>Familiarity with Docker, cloud services (AWS, GCP, or Azure), and CI/CD pipelines.</li>
<li>Ability to work within a small, collaborative development team, taking on multiple SDLC roles as needed.</li>
<li>Strong problem-solving skills, attention to detail, and commitment to producing high-quality software.</li>
</ul>

Full Stack Engineer

<h3>Job Description</h3>
Senior Developer – FP&amp;A Forecasting &amp; Reporting (Contract)
Industry: Financial Services (Insurance / Investments / FP&amp;A)
Location: Onsite – Boston, MA OR Des Moines, Iowa
 
Role Overview
We are seeking an experienced Senior Developer to support a large-scale FP&amp;A Forecasting and Reporting transformation within a financial services environment. This role partners closely with FP&amp;A, Investment, Actuarial, and IT Data teams to design, build, and optimise high-performance forecasting and calculation platforms. You will play a key role in developing scalable, production-grade systems capable of handling complex financial calculations and large data volumes in a fast-paced, enterprise setting. This is a hands-on, senior-level contract role, requiring strong Python engineering expertise and deep exposure to financial data and models.
 
Key Responsibilities
Platform Development &amp; Optimisation
<ul>
<li>Lead the design, development, and optimisation of core systems using Python and Python-based compute environments (Jupyter, VS Code, Databricks)</li>
<li>Build and enhance FP&amp;A forecasting models, analytics, and data pipelines</li>
<li>Ensure performance, scalability, and reliability across computation-heavy workloads</li>
<li>Drive technical innovation, including the use of parallel compute, data vectors, and AI-assisted techniques where appropriate</li>
</ul>
Collaboration &amp; Delivery
<ul>
<li>Partner with FP&amp;A teams and external consultants to deliver robust, performant forecasting solutions</li>
<li>Provide technical guidance on backlog items and architectural decisions</li>
<li>Act as a senior escalation point (Tier-3) for critical incidents and complex production issues</li>
</ul>
Governance &amp; Best Practices
<ul>
<li>Establish and promote engineering standards, testing frameworks, and performance monitoring</li>
<li>Contribute to documentation, runbooks, and knowledge-sharing initiatives</li>
<li>Mentor junior developers and data engineers, raising overall engineering maturity</li>
<li>Ensure ongoing maintenance, upgrades, and enhancements are delivered with minimal disruption</li>
</ul>
 
Required Experience &amp; Skills (Must-Have)
<ul>
<li>Expert-level Python development experience (non-negotiable)</li>
<li>Strong experience building high-performance, data-intensive systems</li>
<li>Deep understanding of financial models, FP&amp;A processes, or large-scale computational engines</li>
<li>Hands-on experience with data integration and management in cloud or hybrid environments</li>
<li>Experience optimising computation through parallelisation and performance tuning techniques</li>
<li>Strong communication skills with the ability to engage technical and business stakeholders</li>
<li>Proven technical leadership and mentoring capability</li>
</ul>
Experience &amp; Background
<ul>
<li>10+ years of professional software engineering experience</li>
<li>Demonstrated success delivering or maintaining financial modelling or forecasting platforms</li>
</ul>
Prior experience within financial services, ideally:
<ul>
<li>Insurance (Life &amp; Annuities)</li>
<li>Investments</li>
<li>Asset or Wealth Management</li>
<li>Experience working with large datasets, analytics platforms, or data-driven systems</li>
<li>Solid understanding of DevOps practices and ability to explain them to non-technical stakeholders</li>
</ul>
Nice to Have
<ul>
<li>Cloud platform experience (AWS, Azure, Redshift, Snowflake)</li>
<li>Exposure to AI / ML integration within financial or computational systems</li>
<li>Experience with data visualisation or reporting tools</li>
</ul>
 
Contract &amp; Eligibility Information
<ul>
<li>This is a contract role</li>
<li>Valid US work authorisation is required at the start of the engagement</li>
<li>No additional contractor benefits are provided</li>
<li>Company-issued equipment will be supplied</li>
<li>Engagement is aligned to a long-term FP&amp;A transformation programme</li>
</ul>

Senior Software Engineer (Python)

<h3>Job Description</h3>
TECHEAD is celebrating over thirty-five years of incredible heritage, talent, and accomplishments! To learn more about TECHEAD, visit us at TECHEAD.com or on Glassdoor. 
 
Secret Security Clearance Required.
 
Job Responsibilities:
<ul>
<li>Will work with a team of UC engineers and will be responsible for designing, managing, and implementing voice solutions as per AF enterprise standards in support of 66 ABG/SC and their customers under Core Services.</li>
<li>Will assist in planning of voice environments for internal customers, develop and review procedures for voice platform in relation to capacity planning, performance, reliability and security.</li>
<li>Will use skills and experience as well as tools and technology to design, install, configure, and troubleshoot voice infrastructure and provide customer support for voice related services.</li>
<li>Will have extensive hands-on experience in designing enterprise telephony solutions that will increase performance and flexibility to existing converged Gigabit Ethernet network infrastructure in accordance with AF UC policies and standards.</li>
<li>Install, upgrade, operate, maintain, and configure all equipment/firmware/software required to ensure availability of all identified voice services in accordance with AF certification and accreditation and information assurance standards.</li>
<li>Ability to use packet capture and protocol analysis tools and techniques</li>
<li>Work with vendors, evaluate vendor hardware, software and communications products and make recommendations according to customer needs</li>
<li>Interface with distributed organizational Telephone Control Officers, conducting and attending planning meetings, reviewing existing and projected voice line counts and assignments, surveying communication room and telephony backboard terminations and cross-connects &amp; creation and updates of notional voice line cut-sheets for engineering capacity planning and processing detailed cut sheets</li>
<li>Must be disciplined in approach to operational excellence and execute detailed record keeping for adherence to locally established and required military processes and procedures. Required to research technical issues and develop solutions using strong attention to detail.</li>
<li>Work dynamically and effectively with people on projects (formal and informal) and conduct technical interchanges as required; responsibilities include collaborative reporting, planning and interactions with leads as well as with company and subcontracted team members and management structures, as well as highly focused subject matter experts.</li>
</ul>
 
TECHEAD's mission is to make our on-site associates successful by placing them in the right environment so they can grow and prosper. How we treat and respond to our clients and employees is a reflection of who we are and makes us stand out from the rest. Keeping our business focused on building and maintaining relationships with our employees and clients is the key to our success. We won't strive for anything less.
 
TECHEAD provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. 
For more information on TECHEAD please visit <a href="http://www.techead.com" target="_blank">www.techead.com</a>. 
No second parties will be accepted.

Network Computer Systems Administrator

<h3>Job Description</h3>
Experience: 10+ years (12–15+ preferred)
 
About the Role
Maitsys Inc. is seeking a highly skilled AI Architect with strong experience in pharmaceutical manufacturing, GxP/GMP environments, and enterprise-scale AI solution design. This role will define AI architecture frameworks, lead the technical design of GenAI and intelligent automation platforms, and ensure full alignment with regulatory and compliance requirements.
The AI Architect will support strategy, solutioning, and technical delivery across AI initiatives that include GenAI, agentic AI, RAG systems, manufacturing intelligence, and data-driven decision automation. This role requires deep architecture expertise, strong cross-functional collaboration, and the ability to translate complex business needs into scalable AI solutions.
 
Key Responsibilities
AI Architecture &amp; Technical Leadership
<ul>
<li>Architect end-to-end AI solutions leveraging:</li>
<li>GenAI, LLMs, agentic AI</li>
<li>RAG architectures and vector databases</li>
<li>MLOps platforms and cloud AI services</li>
<li>Develop enterprise AI blueprints, design patterns, and reusable frameworks.</li>
<li>Ensure architecture meets GxP/GMP, ALCOA+, 21 CFR Part 11, and Annex 11 requirements.</li>
<li>Support AI platform integration across MES, LIMS, QMS, ELN, SCADA, ERP, and manufacturing data systems.</li>
<li>Provide architectural governance and lead technical design reviews.</li>
</ul>
AI Strategy Support &amp; Business Advisory
<ul>
<li>Partner with manufacturing, QA/QC, labs, and supply chain stakeholders to identify high-value AI use cases.</li>
<li>Translate business needs into AI-enabled workflows and automation opportunities.</li>
<li>Support preparation of AI roadmaps, maturity models, and implementation strategies.</li>
<li>Facilitate workshops to drive AI readiness and operational adoption.</li>
</ul>
Solution Delivery &amp; Technical Translation
<ul>
<li>Convert business processes into detailed architectural and technical requirements.</li>
<li>Guide engineers, data scientists, and platform teams throughout model development and deployment.</li>
<li>Ensure best practices for:</li>
<li>Model performance &amp; reliability</li>
<li>Explainability</li>
<li>Validation &amp; compliance</li>
<li>Secure and scalable deployment</li>
<li>Oversee implementation of AI agents, copilots, knowledge assistants, and domain-specific automation solutions.</li>
</ul>
Compliance, Governance &amp; Data Integrity
<ul>
<li>Architect AI systems aligned with:</li>
<li>GMP/GxP</li>
<li>21 CFR Part 11</li>
<li>EU Annex 11</li>
<li>CSV/CSA guidelines</li>
<li>ALCOA+ principles</li>
<li>Collaborate with QA, validation, cybersecurity, and compliance teams to ensure proper documentation and controls.</li>
</ul>
Practice Enablement &amp; Cross-functional Leadership
<ul>
<li>Mentor junior architects and engineering teams.</li>
<li>Contribute to accelerators, playbooks, reusable assets, and architectural standards.</li>
<li>Support proposal development, pre-sales activities, and client advisory discussions.</li>
<li>Represent Maitsys in industry forums and thought leadership initiatives.</li>
</ul>
 
Required Qualifications: 
<ul>
<li>10–15+ years of experience in Pharma, Biotech, or other regulated manufacturing environments.</li>
<li>Strong understanding of GxP/GMP, CSV/CSA, and regulatory compliance frameworks.</li>
<li>Deep expertise in designing enterprise AI/ML, GenAI, and agentic AI architectures.</li>
<li>Hands-on experience with:</li>
<li>OpenAI, Azure OpenAI, Anthropic, or similar LLM platforms</li>
<li>RAG architectures, prompt engineering, vector databases</li>
<li>AWS, Azure, or GCP cloud ecosystems</li>
<li>MLOps, model governance, CI/CD, monitoring, and validation</li>
<li>Proven ability to influence senior stakeholders and communicate with both technical and business teams.</li>
<li>Experience leading cross-functional solution delivery teams.</li>
</ul>
 
Preferred Qualifications: 
<ul>
<li>Experience with GAMP 5, AI validation frameworks, or regulated system integration.</li>
<li>Familiarity with:</li>
<li>MES (Werum/Siemens)</li>
<li>LIMS (LabWare/STARLIMS)</li>
<li>QMS (TrackWise/Veeva)</li>
<li>Manufacturing data lakes and historian systems</li>
<li>Background in consulting, digital transformation, or enterprise architecture.</li>
<li>Certifications such as TOGAF, MBA, or an advanced degree in AI/ML/Data Science.</li>
</ul>
 
Why Join Maitsys?
<ul>
<li>Drive AI transformation in global pharmaceutical manufacturing.</li>
<li>Lead enterprise-level GenAI and automation initiatives.</li>
<li>Collaborate with a fast-growing, innovation-focused organization.</li>
<li>Opportunity to shape and scale Maitsys’s AI architecture practice.</li>
<li>Work closely with executive leadership in a strategic role.</li>
</ul>

AI Architect (Pharma Manufacturing)

<h3>Job Description</h3>
Rockland Trust Bank is driving innovation in how financial services are delivered to our customers and communities. As we expand, we’re investing heavily in advanced analytics, data science, and AI to empower smarter decisions, deliver personalized customer experiences, and strengthen our digital transformation.
 
The Data Quality Program Manager plays a central role in building and maturing the Bank’s enterprise Data Quality Program. This position is responsible for establishing scalable data quality processes, serving as the administrator for the Bank’s data quality tooling, and partnering closely with data owners, stewards, and technology teams to ensure data is accurate, complete, consistent, and usable. The role reports directly to the Director of Data Governance and supports the Bank’s broader data strategy, regulatory expectations, and analytics enablement efforts.
Key Responsibilities
<ul>
<li>Data Quality Program Development &amp; Governance</li>
<li>Design, implement, and continuously improve the Bank’s Data Quality Program</li>
<li>Develop and maintain Data Quality Policies, Standards, and Procedures.</li>
<li>Partner with the Director of Data Governance to integrate data quality practices into the broader Data Governance Operating Model.</li>
<li>Coordinate with data stewards and stakeholders to ensure scalable SLAs are implemented, KPI/KRI metrics are reported, and issues are remediated or escalated as necessary</li>
<li>Data Quality Tooling &amp; Administration</li>
<li>Serve as administrator for the Bank’s data quality/observability tool </li>
<li>Configure data quality rules, monitors, thresholds, and alerts across critical datasets.</li>
<li>Partner with Technology teams to onboard new systems and data pipelines into the data quality platform.</li>
<li>Maintain metadata and control logic within the tool, ensuring alignment with the data catalog.</li>
<li>Data Quality Monitoring &amp; Reporting</li>
<li>Develop dashboards, scorecards, and KPI reporting to track data quality trends and remediation progress.</li>
<li>Conduct root-cause analysis in partnership with data stewards, business SMEs, and IT.</li>
<li>Maintain issue logs and coordinate follow-ups with stakeholders to ensure timely remediation.</li>
<li>Prepare materials for executive committees, audits, and regulatory examinations.</li>
<li>Stakeholder Engagement &amp; Enablement</li>
<li>Work with business units to define critical data elements (CDEs), data quality rules, and quality expectations.</li>
<li>Collaborate with data stewards to interpret results, prioritize issues, and drive accountability.</li>
<li>Provide training and change management support to business and technical teams on data quality standards and tooling.</li>
<li>Act as a subject matter expert for data quality best practices.</li>
</ul>
Qualifications
<ul>
<li>Bachelor’s degree in Information Systems, Data Management, Business, Computer Science, or related field.</li>
<li>3+ years of experience in data governance, data quality, data management, or analytics—preferably within financial services.</li>
<li>Hands-on experience with data quality tools, methodologies, data observability platforms, or data catalogs.</li>
<li>Strong understanding of data quality dimensions </li>
<li>Proven ability to manage cross-functional initiatives and work with business and technology stakeholders.</li>
<li>Familiarity with Snowflake, dbt, SQL, Python, Collibra, Power BI a plus</li>
<li>Excellent communication, documentation, and stakeholder-management skills.</li>
</ul>

Data Quality Manager

<h3>Job Description</h3>
<ul>
<li>This is a FULL-TIME direct hire role. No C2C or 3rd party candidates</li>
<li>The role would be ON-SITE 2 days a week, and work from home 3 days a week</li>
<li>Must have experience working with Aladdin and similar investment management platforms and systems</li>
<li>Client can NOT sponsor or transfer work visas (this also will exclude candidates on a student visa that would need sponsorship in the future)</li>
</ul>
_________________________________________________________________________________________________________
 
Business Systems Analyst – Investment Data
Overview
We are seeking a mid-level Business Systems Analyst with a strong focus on investment and reference data. This role serves as a key liaison between business stakeholders and technology teams, supporting data quality, system workflows, and production processes across investment platforms. The ideal candidate understands investment instruments, data lifecycles, and how data moves across front-, middle-, and back-office systems.
 
Key Responsibilities
<ul>
<li>Act as a business systems analyst supporting investment and reference data platforms, serving as a primary point of contact between business users and technology teams.</li>
<li>Analyze end-to-end data flows, understanding how investment data is sourced, transformed, and consumed across multiple systems.</li>
<li>Support and maintain reference data for multiple asset classes, including equities, fixed income, derivatives, futures, and options.</li>
<li>Respond to daily requests from trading, compliance, operations, and reporting teams, including time-sensitive production issues.</li>
<li>Write and execute SQL queries to analyze data issues, validate workflows, and support root-cause analysis.</li>
<li>Monitor, enhance, and define data quality controls and exception reporting.</li>
<li>Gather and document business requirements for new data fields, datasets, and workflow changes; partner with developers to design, test, and implement solutions.</li>
<li>Perform production support and troubleshooting, ensuring data accuracy and system stability.</li>
<li>Participate in Agile development activities, including backlog refinement, sprint planning, and representing business priorities.</li>
<li>Identify and recommend process improvements to enhance data quality, controls, and operational efficiency.</li>
</ul>
 
Required Qualifications
 
<ul>
<li>3 years experience working with investment platforms ideally Aladdin OR comparable systems (Bloomberg, PACE, Charles River, Calypso).</li>
<li>3–8 years of experience as a Business Systems Analyst, Data Analyst, or similar role within investment management or financial services.</li>
<li>Strong understanding of investment instruments, particularly fixed income and derivatives.</li>
<li>Hands-on experience writing SQL queries and analyzing relational data.</li>
<li>Experience working with investment platforms such as Aladdin or comparable systems (Bloomberg, PACE, Charles River, Calypso).</li>
<li>Proven experience supporting front- and back-office stakeholders in a production environment.</li>
<li>Strong analytical, documentation, and communication skills.</li>
<li>Ability to manage multiple priorities and operate effectively under tight deadlines.</li>
<li>Willingness to participate in an on-call rotation as needed.</li>
</ul>
 
Preferred Qualifications
<ul>
<li>Experience using Python for data analysis, automation, or workflow support.</li>
<li>Familiarity with data engineering concepts, data modeling, and data governance.</li>
<li>Experience with Eagle PACE or similar accounting/reference data platforms.</li>
<li>Prior experience working in Agile or Scrum-based development environments.</li>
</ul>

Application Support / Systems Analyst - Aladdin; PACE, Charles River, Calypso

<h3>Job Description</h3>
Company Overview:
The Sample Management group is seeking a highly motivated individual to join the team as a Compound Hub Specialist. As a key contributor within our team, you will play a crucial role in processing new client's compounds and inventory requests through the Compound Hub Process while prioritizing customer satisfaction and order maintenance.

Key Functions:
As a member of the Sample Management group, your primary responsibilities will include:
• Handling all new compound orders, weighing solid samples within a weigh hood using an analytical balance to create solutions for customers, including local chemists and biologists.
• Utilizing the Tecan Liquid Handler to process compound orders efficiently and accurately.
• Loading Tecan products onto an automatic sorting system for delivery to recipients across our local sites as well as domestic and international customers.
Additional Responsibilities:
• Receiving samples from both internal and external locations and ensuring all service level agreements are achieved on a daily basis, collaborating closely with scientific staff to prioritize important orders.
• Engaging with customers directly to understand their needs, address inquiries, and provide exceptional service throughout the order fulfillment process.
 
Skills and Qualifications:
• Bachelor’s degree with experience working in a scientific lab, emphasizing compound inventory management and distribution using automated systems.
• Thorough knowledge of compound management activities, including inventory management, solution production, quality control, and logistics management.
• Experience working with laboratory robotics, including diagnosing and troubleshooting hardware and software issues.
• Excellent personal and communication skills, with a strong focus on customer satisfaction and maintaining professional relationships.
• Ability to multitask in a fast-paced environment, prioritize workload effectively, and work well within a team.
• Self-motivated, well-organized, and reliable individual with a customer-focused mindset.
• Proficiency in MS Office products, including File Explorer and other relevant software tools.
 
Desired Traits &amp; Experience:
• Service-oriented mindset with a keen attention to detail and the ability to interact effectively with scientific staff.
• Knowledge of instrumentation/systems such as Tecan evo, Biomicrolab Volume Checker, and Biomicrolab Tube Sorter.
• 6-18 months of relevant experience in a similar role.

Sample Management Associate

<h3>Job Description</h3>
Job Description – AWS Networking / AWS DevOps Engineer
Location: Quincy, MA (US Onsite)
Type: Hybrid (3 to 4 days based on client request and project demand) 
 
Role: AWS Cloud Networking Engineer/DevOps
 
Overview
We are seeking an experienced Networking-focused AWS DevOps Engineer to support and optimize our multi-region cloud infrastructure. The ideal candidate will have strong expertise across AWS networking, multi-region architectures, CI/CD, container orchestration, infrastructure automation, and data platform components such as Redshift. This role is part-time but requires a hands-on engineer who can troubleshoot, optimize, and enhance our production and non-production cloud environments.
 
Key Responsibilities
 
AWS Multi-Region Architecture &amp; Networking
• Design, implement, and optimize multi-region VPC architectures, peering, Transit Gateway, and routing policies.
• Configure and manage security groups, NACLs, route tables, NAT gateways, IGWs, and cross-region networking.
• Ensure high availability (HA) and disaster recovery (DR) readiness across multiple AWS regions.
• Support network connectivity for hybrid environments (VPN, Direct Connect).
 
AWS DevOps &amp; Automation
• Develop and maintain CI/CD pipelines using CodePipeline, CodeBuild, GitHub Actions, GitLab, or Jenkins.
• Automate infrastructure provisioning using Terraform, CloudFormation, or CDK.
• Implement and optimize monitoring, logging, and alerting via CloudWatch, OpenSearch, Prometheus/Grafana, or equivalent.
• Drive continuous improvements in deployment reliability and DevOps best practices.
 
Compute &amp; Container Services
• Manage and optimize EC2 instances including AMIs, autoscaling, patching, and configurations.
• Deploy, scale, and troubleshoot workloads on ECS (Fargate or EC2).
• Implement workload security, resource optimization, and cost controls across compute services.
 
Redshift &amp; Data Infrastructure Support
• Support Redshift cluster configuration, security, WLM settings, performance optimization, and connectivity.
• Ensure secure and optimized data flows between ETL layers, Redshift, EC2/ECS services, and S3.
• Collaborate with data teams to tune Redshift workloads and ensure optimal network performance.
 
Security &amp; Compliance
• Enable IAM policies, role-based access, and least-privilege security controls.
• Implement multi-region failover, backup/restore strategies, and environment hardening.
• Ensure compliance with security best practices, patching, encryption, and CloudTrail logging.
 
Operations, Troubleshooting &amp; Support
• Troubleshoot multi-region connectivity, latency, DNS, and infrastructure issues.
• Optimize cloud spend across compute, networking, and Redshift workloads.
• Provide on-call / ad-hoc support during deployments or critical incidents (as needed).
 
Required Skills &amp; Experience
Technical Skills
• 10+ years of experience as a DevOps, Cloud Engineer, or AWS Infrastructure Engineer.
• Strong AWS networking expertise: VPC, TGW, Route53, VPN, Direct Connect, SGs, NACLs.
• Experience with multi-region, HA, DR architectures.
• Proficient in EC2, ECS (Fargate/EC2 Launch Types), Redshift.
• Strong Terraform / CloudFormation scripting experience.
• Strong experience with Python or Bash for automation.
• Hands-on experience setting up CI/CD pipelines.
• Experience with monitoring/observability tools: CloudWatch, OpenSearch, Grafana/Prometheus, Datadog, etc.
• Familiarity with cloud cost optimization and tagging strategies.

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