Principal AWS Network Infrastructure Engineer

Senior Machine Learning Engineer

New Business Specialist

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

QC Chemist

Senior Microbiology Technician

Production Supervisor

Responsibilities: Design and Implementation:&nbsp; <ul><li>Architect and deploy scalable, secure, and highly available network infrastructure solutions in AWS</li></ul> Network Management:&nbsp; <ul><li>Manage and optimize AWS networking services such as VPC, Direct Connect, Route 53, CloudWAN, and Transit Gateway</li></ul> Security:&nbsp; <ul><li>Implement and maintain network security best practices, including firewalls, VPNs, and security groups</li></ul> Automation:&nbsp; <ul><li>Develop and maintain automation scripts using tools like Terraform, CloudFormation, and Python</li></ul> Monitoring and Troubleshooting:&nbsp; <ul><li>Monitor network performance and troubleshoot issues to ensure optimal performance and reliability</li></ul> Collaboration:&nbsp; <ul><li>Work with cross-functional teams to support application development and deployment</li></ul> Documentation:&nbsp; <ul><li>Create and maintain detailed network documentation and diagrams</li></ul> Cost Management:&nbsp; <ul><li>Monitor and optimize cloud costs, implementing cost-saving measures where possible</li></ul> Compliance and Governance:&nbsp; <ul><li>Ensure that all cloud network solutions comply with our client standards</li></ul> Performance Tuning:&nbsp; <ul><li>Continuously improve the performance and reliability of network systems</li></ul> Incident Response:&nbsp; <ul><li>Lead incident response efforts for network-related issues and outages</li></ul> Training and Mentorship:&nbsp; <ul><li>Provide training and mentorship to junior network engineers and other team members</li></ul> Innovation/Continuous Learning:&nbsp; <ul><li>Stay updated with the latest cloud networking technologies and propose innovative solutions to improve the infrastructure</li></ul> Business Competencies: <ul><li class="ql-indent-1">Adaptable to work effectively within a variety of situations and with various individuals, groups or independently</li><li class="ql-indent-1">Ability to document and communicate effectively, explaining technical concepts and network initiatives in business terms in both individual and group settings</li><li class="ql-indent-1">Must be tenacious, overcoming obstacles and identifying risks</li><li class="ql-indent-1">Attention to detail will be critical to assist with the successful implementation of initiatives</li></ul> Requirements: <ul><li class="ql-indent-1">10+ years of experience in IT, with at least 5+ years in AWS cloud engineering and architecture.</li><li class="ql-indent-1">Strong understanding of AWS network infrastructure and service integration, including VPC, IAM, Transit Gateway, and CloudFormation, and how AWS services such as EC2, EKS, RDS, S3, and Lambda operate within those network architectures.</li><li class="ql-indent-1">Strong experience with Terraform, CloudFormation, and automation scripting (Bash, Python, PowerShell).</li><li class="ql-indent-1">Proficiency in monitoring and logging tools (DataDog, Splunk, Coralogix, CloudWatch).</li></ul> Technical Skills: <ul><li class="ql-indent-1">In-depth knowledge of AWS networking services and best practices, such as VPC, AWS Firewall, Transit Gateway, WAF, Security Groups, CloudWAN, NACLS, Shield Advance, and Direct Connect</li><li class="ql-indent-1">Advanced understanding of networking protocols and services such as BGP, OSPF, TCP/IP, DNS, DHCP, and VPNs</li><li class="ql-indent-1">Proficiency in network security principles and tools</li><li class="ql-indent-1">Skilled in network automation and scripting</li><li class="ql-indent-1">Experience in developing IaC with advanced skills in tools such as Terraform, AWS CloudFormation, and Ansible for automating infrastructure deployment and management</li><li class="ql-indent-1">Familiar with DevOps practices / CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions to automate testing and deployment</li></ul>&nbsp;

Role Description: <ul><li>Working closely with the Data Scientists and be responsible for implementing large language models (LLMs) based applications, working with proprietary and open-source Models as well as popular frameworks such as Lang Chain to ensure seamless integration and deployment.</li></ul> Responsibilities: <ul><li>Building standalone applications that interact with LLM models.</li><li>Building RAG-based applications.</li><li>Understanding of Vector DBs like Solr for LLM based applications</li><li>Integrate models with existing systems and APIs.</li><li>Implement production quality ETL jobs</li><li>Preprocess and manage data for training and deployment.</li><li>Collaborate with cross-functional teams to define, design, and ship new features.</li><li>Write clean, maintainable, and efficient code.</li><li>Document development processes, code, and APIs.</li></ul> Requirements: <ul><li>Degree in Computer Science, Data Science, or related field.• Proven experience in building customer facing ML based APIs</li><li>Mexico City–based (or nearby), available to work onsite 2 days per week at Glorietadel Ahuehuete, Reforma.</li><li>Experience in developing applications that are scalable to handle TBs of data</li><li>Strong knowledge of API integration (RESTful, GraphQL).</li><li>Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch, etc.).</li><li>Familiarity with deployment tools (Docker, Kubernetes).</li><li>Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred.</li><li>Excellent problem-solving and communication skills.</li><li>Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus</li><li>Experience working on agents is considered a good-to-have</li><li>Familiarity with agents, even through courses Work in a way that works for you We promote a healthy work/life balance across the organization..</li></ul> Other Information: These are some of the benefits we are delighted to offer: <ul><li>Private Medical/Dental Plan.</li><li>Savings Fund.</li><li>Life Insurance.</li><li>Meal/Grocery Voucher.</li><li>We offer an appealing working prospect for our people.</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.</li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you.</li><li>We know that your well-being and happiness are key to a long and successful career.</li></ul>

Responsibilities: <ul><li>Driving new business and uncovering new opportunities.</li><li>Building authentic, value-based relationships with clients.</li><li>Using our sales methodology to guide the full sales cycle.</li><li>Collaborating closely with a high-performing, supportive team.</li><li>Leading client meetings, demos, and solution presentations.</li><li>Negotiating deals and getting creative with proposals.</li><li>Contributing ideas, energy, and momentum to a fast-moving sales team.</li></ul> Requirements: <ul><li>3+ years of B2B sales experience.</li><li>Industry background in Legal, Compliance, Professional, Corporate or related areas (Preferred).</li><li>Software sales or SAAS background (Preferred).</li><li>Proven experience smashing BDM targets, ideally in the compliance or legal tech space.</li><li>A strong track record managing full sales cycles end to end.</li><li>Top-tier presentation and communication skills.</li><li>Confidence engaging with C-level stakeholders in a consultative manner.</li><li>Solid CRM skills (Salesforce knowledge = bonus points).</li></ul>

Responsibilities: <ul><li>Designing, implementing, and optimising scalable data pipelines using Python, PySpark, and Databricks.</li><li>Driving the delivery of customer-facing data products through APIs, Databricks-based sharing, and event-driven mechanisms (e.g., Kafka or similar).</li><li>Taking ownership of end-to-end features — from scoping and development to deployment and monitoring.</li><li>Leading and participating in technical design discussions, contributing to architectural improvements and long-term data strategy.</li><li>Mentoring and coaching junior engineers actively while supporting their technical and professional development.</li><li>Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>Conducting peer code reviews, upholding code quality standards, and championing continuous improvement practices.</li><li>Contributing to the team’s agile delivery process and provide input during planning and retrospectives.</li></ul> Requirements: <ul><li>Have extensive experience in data engineering or backend software engineering with a data focus.</li><li>Be proficient in Python, PySpark, and working within Databricks environments.</li><li>Have hands-on experience designing and delivering data products via REST APIs, event-driven systems, or data sharing platforms like Databricks Delta Sharing.</li><li>Have a solid understanding of distributed data processing, ETL/ELT workflows, and data lake/lakehouse architectures.</li><li>Have experience with cloud platforms (e.g., AWS, Azure, GCP) and modern data tooling.</li><li>Have a proven track record of mentoring or coaching other engineers.</li><li>Have effective communication and collaboration skills, including the ability to explain complex concepts to non-technical stakeholders.</li><li>Be familiar with agile development practices</li></ul>

Responsibilities: <ul><li>Design, build, and optimise agentic systems capable of breaking down complex tasks into executable steps.&nbsp;</li><li>Innovate in context engineering strategies (retrieval-augmented generation, dynamic context construction, memory management) to maximise LLM effectiveness.&nbsp;</li><li>Select, fine-tune, and adapt large language models (LLMs) to align with agent objectives.&nbsp;</li><li>Enhance and extend evaluation frameworks for online and offline performance, efficiency, and success rates.&nbsp;</li><li>Select, benchmark, and host LLMs on Amazon SageMaker or EKS, comparing and optimising models to ensure agentic systems are fast, accurate, and cost-effective.&nbsp;</li><li>Own and prioritise a backlog of improvements to core intelligence, applying methods such as RLHF and self-learning agents.&nbsp;</li><li>Collaborate with AI engineering and product teams to deliver production-ready solutions.&nbsp;</li><li>Mentor and supervise junior data scientists and foster a culture of innovation, collaboration, and continuous improvement.&nbsp;</li></ul> Requirements: <ul><li>PhD in AI, Computer Science, Mathematics or a related field; or Master’s with equivalent experience.&nbsp;</li><li>Hands-on experience in LLMs or applied AI research in a commercial environment.&nbsp;</li><li>Proven expertise in context engineering, LLM fine-tuning, and evaluation of non-deterministic systems.&nbsp;&nbsp;</li><li>Strong programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch)&nbsp;</li><li>Strong problem-solving, analytical, and communication skills.&nbsp;</li><li>Demonstrated ability to work collaboratively with engineering and product stakeholders in an agile environment.&nbsp;</li></ul>

Role Description: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Transition legacy data systems to Databricks.</li><li>Build and maintain robust, scalable data pipelines.</li><li>Work closely with subject matter experts, product teams, and stakeholders to understand business logic.</li><li>Apply best practices in data engineering and programming.</li><li>Mentor junior engineers and contribute to knowledge sharing.</li><li>Participate in code reviews and technical discussions.</li></ul> Requirements: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul> Why Join Us <ul><li>Opportunity to work on a strategic, high-impact data platform transformation.</li><li>Exposure to cutting-edge technologies including Databricks and cloud platforms.</li><li>Collaborative, inclusive team culture with strong mentorship.</li><li>Clear opportunities for career growth and skill development.</li></ul>

Role Overview: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.&nbsp;</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Lead the transition of legacy data systems to Databricks, ensuring reliability and performance.</li><li>Design, build, and maintain robust, scalable data pipelines to support analytical and operational use cases.</li><li>Collaborate closely with subject matter experts, product teams, and business stakeholders to understand and implement business logic accurately.</li><li>Apply data engineering and programming best practices to ensure high-quality, maintainable, and secure solutions.</li><li>Mentor junior engineers, fostering technical growth and promoting knowledge sharing across the team.</li><li>Participate in code reviews, architectural discussions, and technical decision-making to uphold engineering standards.</li></ul> Requirements:&nbsp; Required Skills &amp; Experience: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience: <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul>

Role Description: <ul><li>The QC Chemist will be a critical member of the laboratory team responsible for performing analytical testing to ensure the quality, safety, and compliance of sterile injectable IV bag products at a newly established greenfield pharmaceutical manufacturing facility.</li><li>This role will support the development, validation, and execution of analytical methods, ensure timely release of raw materials, in-process samples, and finished products, and maintain strict adherence to cGMP, FDA, and global regulatory standards.</li><li>The QC Chemist will play a key role in establishing laboratory operations during the startup phase and sustaining high standards of laboratory excellence throughout routine commercial production.</li></ul> Responsibilities: <ul><li>Perform analytical testing of raw materials, in-process samples, stability samples, and finished products using validated methods (e.g., HPLC, GC, UV-Vis, FTIR, TOC, etc.).</li><li>Develop and validate new analytical methods as required to support product development, regulatory submissions, and process optimization.</li><li>Ensure compliance with cGMP, FDA, USP, and other regulatory standards in all laboratory activities, documentation, and data integrity.</li><li>Prepare and review laboratory documentation including test protocols, reports, COAs, deviations, OOS investigations, and change control documentation.</li><li>Maintain laboratory instruments, perform routine calibrations, troubleshooting, and coordinate with vendors for preventive maintenance and repairs.</li><li>Support laboratory readiness for regulatory inspections, audits, and customer visits by maintaining audit-ready documentation and laboratory practices.</li><li>Assist in the preparation and execution of laboratory investigations, CAPA implementation, and root cause analysis for any analytical deviations.</li><li>Collaborate with cross-functional teams including Manufacturing, Quality Assurance, Validation, and Regulatory Affairs to ensure seamless batch release and product compliance.</li><li>Participate in training programs to ensure technical competency and adherence to evolving regulatory requirements.</li><li>Contribute to continuous improvement initiatives focused on laboratory efficiency, data integrity, and compliance robustness.</li></ul> Requirements: Qualifications/Experience: <ul><li>Bachelor’s or master’s degree in chemistry, Pharmaceutical Sciences, or related field.</li><li>3+ years of experience in pharmaceutical QC laboratory, preferably in sterile injectable manufacturing.</li><li>Strong hands-on experience with analytical instrumentation (HPLC, GC, UV, FTIR, etc.) and GMP-compliant laboratory operations.</li><li>Knowledge of FDA cGMP regulations, USP standards, ICH guidelines, and data integrity expectations.</li><li>Experience supporting laboratory investigations and regulatory inspections.</li></ul> Skills/Competencies: <ul><li>Strong analytical and problem-solving skills.</li><li>High attention to detail and accuracy in laboratory work.</li><li>Good understanding of data integrity and documentation practices.</li><li>Ability to work both independently and as part of a team in a dynamic startup environment.</li><li>Excellent organizational, time management, and communication skills.</li><li>Ability to adapt to evolving processes and regulatory requirements in a greenfield manufacturing setting.</li></ul>

Responsibilities: <ul><li>Perform and oversee complex microbiological activities, including environmental monitoring (viable and non-viable), utility sampling (e.g., water, compressed gases), and aseptic process support in areas utilizing isolator technology.</li><li>Conduct and review microbiological testing for bioburden, endotoxin (LAL), sterility, and microbial identification on raw materials, in-process samples, and final products.</li><li>Support and lead aspects of aseptic process simulations (media fills) including planning, execution, incubation, and interpretation of results within isolator systems.</li><li>Assist in the startup and qualification of the microbiology laboratory including equipment qualification, SOP development, method verification/validation, and environmental monitoring qualification.</li><li>Contribute to investigations, non-conformances, and microbiological excursions by providing subject matter expertise and supporting root cause analysis and CAPA implementation.</li><li>Ensure accurate and timely documentation of laboratory data in compliance with data integrity principles and cGMP guidelines.</li><li>Mentor and provide technical guidance to junior microbiology staff, fostering a culture of scientific excellence, compliance, and continuous learning.</li><li>Maintain laboratory readiness for internal and external audits by following and enforcing good laboratory practices and cGMP expectations.</li><li>Participate in ongoing improvements to laboratory procedures, contamination control strategies, and sterility assurance programs.</li><li>Interface cross-functionally with Quality Assurance, Manufacturing, Validation, and Engineering to support cleanroom and equipment qualifications, isolator decontamination cycles, and site expansion activities.</li></ul> Requirements: Qualifications/Experience: <ul><li>Bachelor’s degree in microbiology, Biology, Life Sciences, or a related field.</li><li>Minimum of 3-5 years of microbiology laboratory experience in a cGMP pharmaceutical or biotechnology manufacturing environment.</li><li>Experience with isolator-based sterile manufacturing processes and aseptic support activities is strongly preferred.</li><li>Working knowledge of cGMPs, FDA and EU Annex 1 requirements, and microbiological standards (USP &lt;61&gt;, &lt;62&gt;, &lt;71&gt;, &lt;85&gt;, &lt;1116&gt;).</li><li>Experience supporting laboratory equipment startup, qualification, and routine maintenance preferred.</li><li>Prior experience with high potent APIs and/or controlled substances is desirable.</li></ul> Skills/Competencies: <ul><li>Advanced technical skills in environmental monitoring, microbial testing, and aseptic processing support.</li><li>Strong documentation and data integrity skills with a meticulous attention to detail.</li><li>Demonstrated ability to troubleshoot microbiological and laboratory equipment issues.</li><li>Effective time management and prioritization skills in a fast-paced environment.</li><li>Strong communication skills with the ability to train and mentor junior staff.</li><li>Proactive, collaborative, and compliance-oriented mindset.</li><li>Comfortable working in cleanroom environments and adhering to gowning and contamination control protocols.</li></ul>

Responsibilities: <ul><li>Supervise daily manufacturing operations including formulation, filling, and packaging of sterile injectable IV bag products within cleanroom environments utilizing isolator technology.</li><li>Manage and develop production team members, providing coaching, training, and performance feedback to ensure adherence to standard operating procedures (SOPs) and quality expectations.</li><li>Author, review, and approve SOPs, batch records, and other production documentation to ensure compliance with cGMP and regulatory requirements.</li><li>Ensure compliance with cGMP, FDA, DEA, OSHA, and other regulatory requirements, particularly in handling high potent APIs and controlled substances.</li><li>Coordinate production schedules to meet demand and support planning, warehouse, and materials management functions.</li><li>Monitor key performance indicators (KPIs) for productivity, quality, and safety; implement corrective and preventive actions as needed.</li><li>Oversee line clearance, equipment setup, and cleaning activities, ensuring readiness for manufacturing operations and minimizing downtime.</li><li>Support deviations, investigations, and CAPA implementation in partnership with Quality Assurance and other support functions.</li><li>Drive continuous improvement initiatives to enhance operational efficiency, product quality, and operator engagement.</li><li>Ensure effective communication between production shifts and other departments to maintain smooth and efficient operations.</li><li>Maintain a strong safety culture, ensuring compliance with Environmental Health &amp; Safety (EHS) programs and best practices.</li></ul> Requirements: Qualifications/Experience: <ul><li>Bachelor’s degree in engineering, Life Sciences, or a related technical field preferred; equivalent experience considered.</li><li>Minimum of 3–5 years’ experience in pharmaceutical or biotechnology manufacturing, preferably in sterile or aseptic operations.</li><li>Supervisory experience leading production teams in a regulated environment.</li><li>Knowledge of cGMP, aseptic processing, and isolator-based manufacturing.</li><li>Experience with high potent APIs and/or controlled substances preferred.</li><li>Proficiency with production documentation, batch records, SOP authoring, and deviation processes.</li></ul> Requirements: Skills / Competencies: <ul><li>Strong leadership and team management skills with a focus on employee development.</li><li>Excellent organizational and problem-solving abilities.</li><li>Ability to manage multiple priorities in a fast-paced, dynamic environment.</li><li>Clear, concise communication skills (written and verbal).</li><li>Proficiency in Microsoft Office and familiarity with manufacturing execution systems (MES) or ERP platforms.</li><li>Commitment to data integrity, safety, and continuous improvement.</li></ul>

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13 a Jobs found

Principal AWS Network Infrastructure Engineer

Senior Machine Learning Engineer

New Business Specialist

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

QC Chemist

Senior Microbiology Technician

Production Supervisor

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13 a Jobs found

Principal AWS Network Infrastructure Engineer

Senior Machine Learning Engineer

New Business Specialist

Intermediate / Senior Data Engineer

Principal Data Scientist

Senior AI Engineer

Data Engineer

QC Chemist

Senior Microbiology Technician

Production Supervisor

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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