level solution design, integration, and technology governance. Expertise in modern enterprise architecture frameworks (e.g., TOGAF, Zachman). Broad understanding of cloud platforms (AWS, Azure, GCP), microservices, APIs, and data architectures. Excellent communication and stakeholder management skills, including at C-level. Ability to work across diverse teams and effectively influence decision More ❯
level solution design, integration, and technology governance. Expertise in modern enterprise architecture frameworks (e.g., TOGAF, Zachman). Broad understanding of cloud platforms (AWS, Azure, GCP), microservices, APIs, and data architectures. Excellent communication and stakeholder management skills, including at C-level. Ability to work across diverse teams and effectively influence decision More ❯
databases like Qdrant, Pinecone, or Redis for low-latency AI retrieval. Experience deploying, monitoring, and scaling AI workloads on cloud platforms such as AWS, GCP, or BigQuery. Bonus points for experience with Go , containerization tools like Docker and Kubernetes , and working in fast-moving startups. The culture here is just More ❯
databases like Qdrant, Pinecone, or Redis for low-latency AI retrieval. Experience deploying, monitoring, and scaling AI workloads on cloud platforms such as AWS, GCP, or BigQuery. Bonus points for experience with Go , containerization tools like Docker and Kubernetes , and working in fast-moving startups. The culture here is just More ❯
databases like Qdrant, Pinecone, or Redis for low-latency AI retrieval. Experience deploying, monitoring, and scaling AI workloads on cloud platforms such as AWS, GCP, or BigQuery. Bonus points for experience with Go , containerization tools like Docker and Kubernetes , and working in fast-moving startups. The culture here is just More ❯
Experience with Windows OS, MacOS, and Linux based applications (Installation, troubleshooting, Debugging) 4+ years of experience as a Support Engineer Fundamental understanding of Kubernetes, GCP, and AWS for troubleshooting cloud agent deployment and data extraction. Excellent written and verbal communication skills Strong customer advocacy skills and experience, ability to work More ❯
skills/experience you may have Bitrise/Gitlab CI GraphQL Backend for Frontend (BFF) patterns Microservice Architectures Experience of cloud infrastructure such as GCP or AWS. Understanding of mobile security threats and experience of automated security testing. Additional Information: The application form consists of an online assessment, CV upload More ❯
lineage. Excellent communication skills with the ability to engage both technical and non-technical stakeholders. Preferred: Experience in cloud-based data ecosystems (AWS, Azure, GCP). Familiarity with graph databases or fuzzy matching algorithms. Experience in financial services, healthcare, retail, or other data-heavy industries More ❯
lineage. Excellent communication skills with the ability to engage both technical and non-technical stakeholders. Preferred: Experience in cloud-based data ecosystems (AWS, Azure, GCP). Familiarity with graph databases or fuzzy matching algorithms. Experience in financial services, healthcare, retail, or other data-heavy industries More ❯
discussions. Baseline Understanding of Core Data & AI Technologies: Maintain a baseline understanding of core technologies and platforms, including cloud solutions (such as AWS, Azure, GCP), to effectively discuss their applications and benefits with clients and stakeholders. Analytical Mindset: Strong analytical skills, with the ability to synthesise complex information and develop More ❯
lineage. Excellent communication skills with the ability to engage both technical and non-technical stakeholders. Preferred: Experience in cloud-based data ecosystems (AWS, Azure, GCP). Familiarity with graph databases or fuzzy matching algorithms. Experience in financial services, healthcare, retail, or other data-heavy industries More ❯
Hacker (CEH) Knowledge and experience with Microsoft Office and Visio. Knowledge of WAN technologies including MPLS, SD WAN. Knowledge of cloud providers security (AWS, GCP or Azure). Prior experience managing Cisco ELA products including DNA, Firepower, ISE Management console, Umbrella, Cisco AMP for endpoints, Stealth watch, as well as More ❯
or SQL for data manipulation. Experience building machine learning models using libraries like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms like AWS, GCP, or Azure. Strong written and spoken English skills. Bonus Experience: Experience with big data tools (e.g., Hadoop, Spark) and distributed computing. Knowledge of NLP techniques More ❯
discussions. Baseline Understanding of Core Data & AI Technologies: Maintain a baseline understanding of core technologies and platforms, including cloud solutions (such as AWS, Azure, GCP), to effectively discuss their applications and benefits with clients and stakeholders. Analytical Mindset: Strong analytical skills, with the ability to synthesise complex information and develop More ❯
discussions. Baseline Understanding of Core Data & AI Technologies: Maintain a baseline understanding of core technologies and platforms, including cloud solutions (such as AWS, Azure, GCP), to effectively discuss their applications and benefits with clients and stakeholders. Analytical Mindset: Strong analytical skills, with the ability to synthesise complex information and develop More ❯
enterprise use cases of AI tooling. What We’re Looking For Strong engineering background — ideally in Python, backend systems, APIs, and cloud platforms (AWS, GCP, Azure). Deep understanding of enterprise software development environments — preferably in sectors like finance, telecom, insurance, or large-scale tech . Familiarity with security and More ❯
enterprise use cases of AI tooling. 🧩 What We’re Looking For Strong engineering background — ideally in Python, backend systems, APIs, and cloud platforms (AWS, GCP, Azure). Deep understanding of enterprise software development environments — preferably in sectors like finance, telecom, insurance, or large-scale tech . Familiarity with security and More ❯
enterprise use cases of AI tooling. 🧩 What We’re Looking For Strong engineering background — ideally in Python, backend systems, APIs, and cloud platforms (AWS, GCP, Azure). Deep understanding of enterprise software development environments — preferably in sectors like finance, telecom, insurance, or large-scale tech . Familiarity with security and More ❯
work. Nice-to-Have: Experience working on live projects in a business setting - e.g., internships, grad schemes, or startups. Familiarity with cloud tools (AWS, GCP, etc.) or version control (Git). Exposure to A/B testing, forecasting, causal AI, or graph AI. Experience working with marketing or customer-level More ❯
these initiatives to the business needs. This includes translating between technical and nontechnical audiences. You will work across industries and technology platforms (Azure, AWS, GCP) working with structured and unstructured data from an array of data sources. Lead and deliver innovative technical solutions that will meet the requirements of our More ❯
with minimal performance impact. Skilled in modern frontend technologies, ideally including React.js, Next.js, and TypeScript. Proficient in deploying applications to cloud platforms such as GCP or AWS. Managed and mentored engineers across multiple levels of seniority. Strong communicator with a track record of effective collaboration with cross-functional stakeholders. Deep More ❯
Understanding of machine learning techniques. Experience with data manipulation libraries (e.g., Pandas, Spark, SQL). Experience with version control (Git). Cloud experience (Azure, GCP, AWS). Additional desirable skills include: Modeling experience in industry-relevant use cases. Familiarity with MLOps environments. Experience with simulation and optimization techniques. What you More ❯
retraining loops Risk scoring or rule-based decision systems (bonus if AML/FinCrime) Strong Python skills and comfort with cloud environments (AWS/GCP/Azure) Excellent communication skills and experience translating complex technical work into actionable product features A startup mindset-bias toward action, comfort with ambiguity, and More ❯
in content creation, management and orchestration (DAM, DXP, Workflow, CDP etc). Proficient in a broad range of technologies including cloud platforms (Azure, AWS, GCP etc), microservices and APIs. Comfortable working in a green field environment. Proven track record of designing and implementing complex martech solutions. Expertise in understanding how More ❯
