Systems Engineer

Cloud Engineer

Senior Data Scientist II

Senior Data Scientist

Oracle Database Administrator

Consulting Principal AWS Cloud Engineer

DevOps Engineer

System Analyst

Staff Software Engineer

Senior Platform Engineer  

Responsibilities: <ul><li>Respond, manage, and escalate (as needed) technical support requests via the ticketing system, telephone calls, and emails either directly or using remote support tools.</li><li>Responsible for supporting Business user end point devices (Laptops/desktops/Smart phones/Tablets /video conferencing services) either directly or using remote support tools on as-needed basis.</li><li>Ensure compliance of regulatory requirements including cGMP standards and site-specific SOPs when completing assigned functional activities.</li><li>Manage and maintain analytical laboratory and computerized manufacturing control systems in a GMP environment according to established regulatory requirements.</li><li>Perform L1 tasks on Server, Network and Telecom Infrastructure in USA &amp; Canada as needed.</li><li>Assist Core teams in performing L1 troubleshooting tasks on Security tools, technologies &amp; platforms like Crowdstrike, Zscaler, Zero Trust, Privileged access management.</li><li>Maintain inventories of endpoint devices, GMP assets and applications.</li><li>Ensure 100% compliance with the GMP Policies and Procedures.</li></ul> Operations: <ul><li>Handle day to day end user support tickets. Provides IT support to VIP users.</li><li>Work with central IT teams to resolve issues reported via helpdesk system.</li><li>Owns end-to-end responsibility for resolving issues in a timely manner.</li><li>Provides updates on Infrastructure health and corrective/preventive actions.</li><li>Maintains an up-to-date inventory of endpoint devices, servers, GMP assets, OT devices and Network devices.</li><li>Flexible to work in a multi-shift operation environment.&nbsp;</li><li>Can be onsite on need basis to assist during any crisis in off-business hours.</li><li>Ensure site IT SOPs are updated and supports site QA and CSV on GMP tasks.</li></ul> Requirements: Education Qualifications:&nbsp; <ul><li>Bachelor’s degree (IT) or similar Desired Certifications.</li><li>Certifications (preferred) – Current JNCIE-ENT, JNCIE, or CCIE certification/ CCNP, CEH, CISSP, MCSA etc.</li></ul> Experience Required: <ul><li>3 – 5 years’ experience working in a GMP compliant pharmaceutical laboratory/manufacturing environment.</li><li>Working Knowledge of Cisco, Juniper, Aruba Technologies &amp; Architectures (examples- Cloud &amp; Cloud Security, Networking- Network Segmentation, Patching, Next-Gen AV, Avaya VOIP, Teams based Conferencing systems)</li><li>Experience managing and maintaining servers, LAN, IP Phone and WAN systems; Switches/ Routers/ Access Points, VPNs; Knowledge of IT-OT Network Segregation.</li><li>Working knowledge of networking concepts such as Routing, Switching, VLANs, VPNs, DHCP and DNS.</li><li>Hands-on experience with Windows 10/11, Microsoft Office tools, common business applications, digital signing applications, Adobe software, Apple devices and L1 knowledge of Windows Server operating systems, Virtualization Hypervisors like VMWare and Wireless Networking devices like Aruba/HPE.</li><li>Has good knowledge for troubleshooting Microsoft 365 and Microsoft Teams rooms (conferencing systems)</li><li>Oversee and ensure timely repair/replacement of faulty hardware including endpoint devices, network hardware and appliances.</li><li>Well versed on GMP Infrastructure and Applications used in Manufacturing and Laboratories.</li><li>Well versed with GMP Procedures</li></ul>

Responsibilities:&nbsp; <ul><li>Responsible for the implementation, testing, optimization and virtualization of cloud infrastructure across on-premise, cloud and network infrastructure.</li><li>Performs activities pertaining to cloud infrastructure deployment and performance to ensure delivery of cloud infrastructure solutions in alignment with service standards.</li><li>Perform OS and database hardening according to the Authority’s hardening guide.</li><li>Provision of new workload in a Cloud platform.</li><li>Integration of new workload to existing Common Services (eg backup, monitoring, etc).</li><li>Integration of new workload to AD, DNS and DHCP.</li><li>Collaborating with teams to assess current infrastructure and recommend cloud adoption strategies.</li><li>Work with different OEM/Vendor/subcontractor for implementation and integration.</li></ul> Requirements: <ul><li>Degree/Diploma in Computer Science, Computer Engineering or equivalent, although consideration will be given to experience and certifications in lieu of degree.</li><li>Experience in Terraform will be an added advantage</li><li>Minimum 2 to 4 years IT experience.</li><li>Minimum 3 years of experience working as a System engineer within the operations environment.</li><li>Past working experience in Cloud environment is an advantage.</li><li>Excellent scheduling and multitasking skills</li><li>Meticulous and process-oriented.</li><li>Good, hard-working attitude with ability to work well under pressure.</li><li>Good communication skills English (written, spoken).</li><li>Good analytical skills with ability to work with others to resolve problems.</li><li>Good organization skills, with ability to properly document and track information.</li><li>Dynamic, customer oriented, experience working in a fast-paced environment</li></ul> Skills / Knowledge:&nbsp; <ul><li>Proficiency in one or more cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or Oracle Cloud Infrastructure (OCI). Strong knowledge of cloud services, features, and capabilities.</li></ul> Good Knowledge of following products will be advantageous: <ul><li>Linux</li><li>Unix</li><li>Active Directory/DNS</li><li>Good understanding of server, storage and networking concept</li></ul>

About the Role : <ul><li>As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments.&nbsp;</li><li>You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management.&nbsp;</li><li>You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators.</li><li>You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.</li><li>We are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment,</li></ul> Responsibilities: <ul><li>Develop and implement LLM-based applications tailored for legal use-cases&nbsp;</li><li>Evaluate and help maintain our data assets and training/evaluation data sets&nbsp;</li><li>Design and build pipelines for preprocessing, annotating, and managing legal document datasets&nbsp;</li><li>Collaborate with legal experts to understand requirements and ensure ML-applications meet domain-specific needs&nbsp;</li><li>Conduct experiments and evaluate model performance to drive continuous improvements&nbsp;</li><li>Fine-tune and deploy large language models to enhance their performance on legal text processing tasks&nbsp;</li><li>Interface with other technical personnel or team members to finalize requirements.&nbsp;</li><li>Work closely with other development team members to understand complex product requirements and translate them into software designs.&nbsp;</li><li>Successfully implement development processes, coding best practices, and code reviews for production environments.</li></ul> Requirements:&nbsp; <ul><li>Able to work in person 2 days per week&nbsp;</li><li>Bilingual English and Spanish&nbsp;</li><li>Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications and benchmarking, using frameworks such as LangChain&nbsp;</li><li>MS in Data Science, Computer Science, Statistics, Machine Learning, or relevant work experience&nbsp;</li><li>Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, Flair, BERT (ways to vectorize text data)&nbsp;</li><li>Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms&nbsp;</li><li>Strong Python background&nbsp;</li><li>Knowledge of AWS, GCP, Azure, or other cloud platform&nbsp;</li><li>Understanding of data modeling principles and complex data models.&nbsp;</li><li>Proficiency with relational and NoSQL databases as well as vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch/OpenSearch)</li><li>Knowledge of Spark-Scala, Ray or other distributed computing systems highly preferred&nbsp;</li><li>Knowledge of API development, containerization, and machine learning deployment highly preferred&nbsp;</li><li>Experience with ML Ops/AI Ops including experiment tracking tools like LangFuse and DVC&nbsp;</li><li>Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers Work in a way that works for you We promote a healthy work/life balance across the organization. </li><li>We offer an appealing working prospect for our people.&nbsp;</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate. </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.</li></ul>

Responsibilities: <ul><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems. Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units. Overseeing the scaling of production systems to meet growing demands.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units.</li><li>Overseeing the scaling of production systems to meet growing demands.</li></ul> Requirements: <ul><li>Possess an advanced or Masters education in Computer Science, Mathematics, Statistics, or a related field. Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.</li><li>Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.</li><li>Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.</li><li>Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.</li><li>Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests Possess advanced programming skills in Python, R, or other relevant languages for data analysis.</li></ul>

Responsibilities: <ul><li>Design, implement, and maintain Oracle database systems to meet project and business requirements.</li><li>Perform database migration projects, including upgrades and platform transitions.</li><li>Ensure database performance, reliability, and scalability through optimization and tuning.</li><li>Monitor database health, identify potential issues, and implement corrective actions.</li><li>Manage backup and recovery processes to ensure data integrity and disaster recovery readiness.</li><li>Configure and maintain database security, including user roles, privileges, and encryption.</li><li>Collaborate with development teams to support application performance and troubleshooting.</li><li>Provide documentation, reports, and regular maintenance support for Oracle databases.</li></ul> Requirements: <ul><li>Diploma/Degree in Computer Science, Information Technology, or related fields.</li><li>At least 8 years of hands-on experience with Oracle database projects in GCC environments.</li><li>Strong knowledge of Oracle database architecture, performance tuning, and backup/recovery strategies.</li><li>Experience with AWS RDS for Oracle and Oracle RAC.</li><li>Experience in Oracle TDE implementation.</li><li>Proficient in Oracle database patching, upgrades, and migration.</li><li>Experience in database migration from on-premise to AWS has added advantage.</li><li>Experience in writing Linux shell script to perform data validation on migrated data.</li></ul>

Responsibilities: <ul><li>Demonstrated ability to drive cultural change and advocate for cloud transformation Key Responsibilities Cloud Strategy &amp; Leadership&nbsp;</li><li>Develop and implement a comprehensive AWS cloud strategy, ensuring alignment with business and technology goals.&nbsp;</li><li>Provide technical leadership and advocacy, championing cloud-native best practices and innovation.&nbsp;</li><li>Lead and drive architectural decisions, ensuring scalability, security, and operational efficiency.</li><li>Cloud Architecture &amp; Design&nbsp;</li><li>Architect secure, scalable, and highly available AWS cloud environments.&nbsp;</li><li>Develop and maintain enterprise-wide cloud blueprints, patterns, and frameworks to drive consistency.&nbsp;</li><li>Research and integrate emerging cloud technologies to foster continuous innovation. Infrastructure as Code &amp; Automation&nbsp;</li><li>Lead adoption and implementation of Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, and Helm.&nbsp;</li><li>Design and optimize CI/CD pipelines to streamline cloud deployments and operations.&nbsp;</li><li>Implement self-healing and automated failover mechanisms to enhance resilience and reliability.</li><li>Kubernetes &amp; Cloud-Native Technologies&nbsp;</li><li>Manage and optimize Kubernetes clusters (EKS, Helm, IAM) for scalability and security.&nbsp;</li><li>Define and enforce best practices for containerized applications and orchestration.&nbsp;</li><li>Improve Kubernetes networking, ingress, and observability solutions to enhance performance. Security &amp; Compliance&nbsp;</li><li>Establish and enforce security best practices for AWS environments, including IAM, WAF, Secret Manager, and encryption.&nbsp;</li><li>Implement zero-trust security models and secure multi-account AWS environments.&nbsp;</li><li>Conduct security audits, incident response, and ensure compliance with industry standards. Monitoring, Logging &amp; Reliability Engineering.</li><li>Deploy and manage monitoring tools (DataDog, Splunk, CloudWatch, Coralogix) to ensure visibility and observability.&nbsp;</li><li>Implement SRE principles to enhance system uptime, reliability, and efficiency.&nbsp;</li><li>Conduct post-mortem analysis and drive continuous improvements in cloud performance. Collaboration &amp; Thought Leadership&nbsp;</li><li>Work closely with software developers, system engineers, and security teams to design and implement cloud solutions.&nbsp;</li><li>Provide mentorship, training, and technical leadership to engineering teams.&nbsp;</li></ul> Requirements: <ul><li>10+ years of experience in IT, with at least 5+ years in AWS cloud engineering and architecture.</li><li>Deep understanding of AWS services, including EC2, EKS, RDS, S3, Lambda, VPC, IAM, Transit Gateway, and CloudFormation.&nbsp;</li><li>Expertise in Kubernetes (EKS, Helm, Daemon Sets, StatefulSets, Karpenter, external-dns, aws-cni).&nbsp;</li><li>Strong experience with Terraform, CloudFormation, and automation scripting (Bash, Python, PowerShell).&nbsp;</li><li>Hands-on experience managing CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).&nbsp;</li><li>Proficiency in monitoring and logging tools (DataDog, Splunk, Coralogix, CloudWatch).&nbsp;</li><li>Strong networking and security knowledge (DNS, VPC, NAT, Security Groups, IAM).&nbsp;</li><li>Experience designing and developing scalable, production-grade software tools and automation scripts using Python. Preferred Certifications&nbsp;</li><li>AWS Certified Solutions Architect – Professional (or equivalent).&nbsp;</li><li>Additional certifications in Kubernetes (CKA), AWS Security, or DevOps are a plus. Leadership &amp; Soft Skills&nbsp;</li><li>Proven experience leading cloud architecture and strategy initiatives.&nbsp;</li><li>Ability to mentor and guide technical teams in a fast-paced, agile environment.&nbsp;</li><li>Strong problem-solving and troubleshooting skills in complex cloud environments.</li><li>Excellent communication skills with the ability to translate technical concepts for engineering, business, and executive stakeholders.&nbsp;</li></ul>

Responsibilities: <ul><li>To provide operational support for the overall Agile DevOps Platform, which includes:&nbsp;</li><li>Drive thought leadership in DevOps practices.</li><li>Work closely with Machine Learning Engineers to automate model training, testing and deployment into production using Continuous Integration/Continuous Delivery (CI/CD)&nbsp;</li><li>Hands on implementation and maintenance of CI/CD pipelines&nbsp;</li><li>Work closely with Security Architect to integrate security best practice into the pipeline&nbsp;</li><li>Identify and resolve problems in a timely fashion&nbsp;</li><li>Maintenance and upgrading of platform tools&nbsp;</li><li>Continuous monitoring of health of Agile products</li></ul> Requirements: <ul><li>Bachelor Degree in Computer Science</li><li>5+ Years experience in AWS Services, EKS, Kibana&nbsp;</li><li>Well-versed in agile ways of working and familiar with common tools including JIRA and Confluence&nbsp;</li><li>Experience in working in cross-functional Agile teams&nbsp;</li><li>A strong technical foundation in the following:&nbsp;</li><li>Good working experience with cloud-based technologies and architectures (AWS, Azure or&nbsp;&nbsp;&nbsp;GCP). AWS know-how is preferred&nbsp;</li><li>Experience with CI/CD practices and systems (e.g. git, git flow, trunk-based development).&nbsp;</li><li>Experience and good knowledge of Containerization (docker etc.)&nbsp;</li><li>Container orchestration using Kubernetes</li><li>Scripting language (shell, ruby/jruby, perl, python, powershell etc.)&nbsp;</li><li>Monitoring and data collection tools (nagios, splunk, and etc.)&nbsp;</li><li>SCM tools (git, bitbucket)&nbsp;</li><li>Build tools (ant, nant, rake, etc.)&nbsp;</li><li>Packet management (rpm, npm and etc.)&nbsp;</li><li>Configuration management tools (Ansible, chef, Terraform, puppet etc.)&nbsp;</li><li>Microservices architecture&nbsp;&nbsp;</li></ul>

Responsibilities: <ul><li>Maintain the Project Management Office (PMO), managing communications across the contract, tracking assets &amp; documentations and monitoring the progress of work including overseeing the services of our ICT O&amp;M contractors&nbsp;&nbsp;</li><li>Utilize cloud technologies like GCC Azure, AWS and Google Cloud Platform to conduct end-to-end systems monitoring, problem resolution and to save operating costs</li><li>Familiar with local public sector projects and government policies and processes such as IM8, cybersecurity, data security</li><li>Collaborate with business &amp; technology stakeholders, ICT providers or government agencies and other external parties to drive new initiatives/enhancements</li><li>Offer support in managing, maintaining, and testing IT application systems, ensuring their efficient operation and functionality</li><li>Review project deliverables (e.g. system documentations, monthly project report, log review for privileged user access, test plan, test reports, application design/ code) to ensure the completeness for acceptance; and&nbsp;</li><li>Ensure project deliveries complies with relevant policies, standards, and guidelines, and identify and address any compliance gaps.&nbsp;</li><li>project coordination &amp; monitoring, asset management, resource tracking, meeting logistics, service/change request processing, records/document management</li><li>Perform requirement gathering, requirement analysis, business process mapping, design thinking, prepare requirement specifications, flow charts, logical diagrams, and initiate process improvements.</li><li>Agile, Software Development Life Cycle (SDLC) and testing methodologies</li></ul> Requirements: <ul><li>Bachelor’s degree in Business, Management of Information Systems, Information/ Infocom Technology, or related discipline.</li><li>8 years of experience in IT.</li><li>6 + years experience in Public sector.</li><li>Singapore Government (Public Sector) experience is mandate.</li><li>GCC Experience is additional advantage.</li><li>6+ Years Experience, Singapore Government (Public Sector) experience is mandate.</li><li>GCC Experience is additional advantage.</li><li>Maintain the Project Management Office (PMO), managing communications across the contract, tracking assets &amp; documentations and monitoring the progress of work including overseeing the services of our ICT O&amp;M contractors&nbsp;&nbsp;</li></ul>

Responsibilities: <ul><li>Develop software portable to a wide variety of project applications and platforms through the entire software lifecycle.&nbsp;</li><li>Perform technical analysis of candidate software, firmware, and hardware systems.&nbsp;</li><li>Develop test plans, test frameworks and unit tests.&nbsp;</li><li>Lead the project interface between business teams and technical teams to translate business requirements into technical solutions.&nbsp;</li><li>Collaborate effectively with other project team members to develop new concepts and projects.</li></ul> Requirements: <ul><li>Engineering degree in Computer Science, Electrical/Electronics/ Communication Engineering or related subject is required (2:1 or higher).&nbsp;</li><li>Proficiency in multiple relevant programming languages (E.g. C/C++/Python) is required.&nbsp;</li><li>Proficiency in utilizing devops tools such as Github or Gitlab is required.&nbsp;</li><li>Competency with embedded Linux (e.g. Buildroot or Yocto) is required.&nbsp;</li><li>Competency with bare metal development for microcontroller families such as STM32 or Nordic nRF is required.&nbsp;</li><li>Competency in an IoT protocol such as MQTT or CoAP, is required.&nbsp;</li><li>Demonstrable awareness and participation in other engineering disciplines such as electronics or mechanical engineering is preferred.&nbsp;</li><li>Experience with embedded RTOS (e.g. FreeRTOS or Zephyr) is preferred.&nbsp;</li><li>Knowledge of AI and machine learning concepts and algorithms is preferred.&nbsp;</li><li>Familiarity with cloud platforms such as AWS, in particular elements related to IoT service deployment is preferred.&nbsp;</li></ul> Critical Experience: <ul><li>8+ years relevant experience in embedded software development.&nbsp;</li><li>Demonstrable track record in leading the software element of complex projects.&nbsp;</li><li>Strong communication skills for collaborating with project team members, customers, internal business and technology leaders.&nbsp;</li><li>Proven ability to execute engineering deliverables.&nbsp;</li><li>Self-starter able to work independently and multitask with strong project planning skills.</li></ul>

Responsibilities: <ul><li>Build the platforms, systems and infrastructure using in depth knowledge of software development and infrastructure as code practices.&nbsp;</li><li>Take the lead to design, develop, test, deploy, support and enhance the complex and varied automated infrastructure and platform components.&nbsp;</li><li>Take the lead to drive large efforts, stories and tasks to completion.&nbsp;</li><li>Participate in the engineering community to maintain and share relevant technical approaches and modern skills and present best code practices.&nbsp;</li><li>Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.&nbsp;</li><li>Other duties as assigned</li></ul> Requirements: <ul><li>Bachelor’s Degree in Engineering. or 7 years of related work experience&nbsp;</li><li>10+ years relevant business or IT exp in service delivery roles&nbsp;</li><li>Deep technical &amp; functional knowledge of Pulsar, Solace, Kafka, AWS, Go programming &amp; Ansible scripting.</li></ul>

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16 aws lambda Jobs found

Systems Engineer

Cloud Engineer

Senior Data Scientist II

Senior Data Scientist

Oracle Database Administrator

Consulting Principal AWS Cloud Engineer

DevOps Engineer

System Analyst

Staff Software Engineer

Senior Platform Engineer

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16 aws lambda Jobs found

Systems Engineer

Cloud Engineer

Senior Data Scientist II

Senior Data Scientist

Oracle Database Administrator

Consulting Principal AWS Cloud Engineer

DevOps Engineer

System Analyst

Staff Software Engineer

Senior Platform Engineer

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