551 to 575 of 4,423 SaaS Jobs

Scrum Ada Meher is partnering with a Software Vendor in the Rates Management technology space, as they seek to recruit an experienced .NET Developer to help them progress their SaaS product through a modernisation from an on-premise monolith platform to Azure based containers/microservice architecture. The successful candidate will be working in a hands on capacity as well More ❯

part of a team What You'll Bring Bachelor’s degree preferred, or equivalent combination of education and professional experience 1–2 years of sales or business development experience (SaaS or technology preferred); internship or SDR/BDR experience welcome Experience prospecting and generating pipeline; eager to learn how to manage sales cycles and close business with mentorship Exposure to More ❯

a hybrid working environment. This role presents an exciting opportunity for a professional passionate about cloud infrastructure, automation, and continuous improvement to contribute to the development of cutting-edge SaaS solutions. As a DevOps Engineer, you will be instrumental in designing, deploying, and maintaining scalable and secure cloud environments primarily on AWS. You will work closely with software development teams … with containerization technologies like Docker, ECS, or Fargate. Proficiency in scripting languages such as Python, Bash, or PowerShell to automate tasks and workflows. Experience supporting large-scale, customer-facing SaaS environments with a focus on reliability and security. Understanding of CI/CD pipelines and tools like Jenkins, GitLab CI, or CircleCI. Excellent problem-solving skills and the ability to … team environment. Strong communication skills and a proactive approach to continuous learning and improvement. Responsibilities Design, implement, and manage scalable, secure, and highly available AWS cloud infrastructure to support SaaS applications. Develop and maintain automation scripts and deployment pipelines to improve efficiency and reduce manual intervention. Collaborate with development teams to integrate DevOps practices into the software development lifecycle. Monitor More ❯

about this role but your past experience doesn't align perfectly with every qualification we encourage you to apply anyways! iM Getting To Join a rapidly evolving, industry-leading SaaS company on an exciting journey of growth and scalability! Take on meaningful, high-impact challenges by leveraging cutting-edge technologies and best-in-class protocols to drive innovation. Own my More ❯

architectural patterns. - Experience with trading and risk management solutions - Experience designing and building customer facing applications/components - Self-starter who is enthusiastic for software work in a software-as-a-service company. - Driven by client satisfaction. - Strong teamwork skills. - Ability to manage own time and deliver expected results on time. - Commitment to continuous learning and improvement. - Exceptional analytical skills. More ❯

architectural patterns. - Experience with trading and risk management solutions - Experience designing and building customer facing applications/components - Self-starter who is enthusiastic for software work in a software-as-a-service company. - Driven by client satisfaction. - Strong teamwork skills. - Ability to manage own time and deliver expected results on time. - Commitment to continuous learning and improvement. - Exceptional analytical skills. More ❯

architectural patterns. - Experience with trading and risk management solutions - Experience designing and building customer facing applications/components - Self-starter who is enthusiastic for software work in a software-as-a-service company. - Driven by client satisfaction. - Strong teamwork skills. - Ability to manage own time and deliver expected results on time. - Commitment to continuous learning and improvement. - Exceptional analytical skills. More ❯

architectural patterns. - Experience with trading and risk management solutions - Experience designing and building customer facing applications/components - Self-starter who is enthusiastic for software work in a software-as-a-service company. - Driven by client satisfaction. - Strong teamwork skills. - Ability to manage own time and deliver expected results on time. - Commitment to continuous learning and improvement. - Exceptional analytical skills. More ❯

architectural patterns. - Experience with trading and risk management solutions - Experience designing and building customer facing applications/components - Self-starter who is enthusiastic for software work in a software-as-a-service company. - Driven by client satisfaction. - Strong teamwork skills. - Ability to manage own time and deliver expected results on time. - Commitment to continuous learning and improvement. - Exceptional analytical skills. More ❯

winning global learning technologies company which is a leader in the design and development of custom learning solutions. They have an opening for a Sales Manager who can drive SaaS sales in the learning and technology sector. They are looking for a motivated individual with at least 5 years of experience in exceeding sales and revenue targets and inspiring a More ❯

This is an exciting opportunity for an experienced Revenue Operations professional to play a key role in driving operational efficiency and strategic growth across a fast-paced, B2B SaaS environment. The Revenue Operations Lead will work directly with the Chief Revenue Officer, acting as a strategic advisor and operational leader to optimise and scale the sales and marketing functions. This … departments, promoting a culture of transparency, collaboration, and data-informed decision-making. Qualifications & Experience : Experience & Background 5+ years of experience in sales or revenue operations, preferably within a vertical SaaS or technology-focused business. Demonstrated success in scaling operations and implementing effective, repeatable processes. Strong background in analytics, business intelligence, and strategic planning. Technical Proficiency Skilled in CRM platforms (HubSpot More ❯

related degree (essential). 6+ years’ experience as a Technical Business Analyst within financial services, ideally in an electronic trading environment. Strong background in cloud-based business analysis (IaaS, SaaS, PaaS, Enterprise). Familiarity with modern tech stacks including AWS , Java, and/or C++ . Electronic Trading - Market Data - FIX Protocol - ITCH - FIX Connectivity - Exchange Connectivity - Latency improvement - Networking More ❯

AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency More ❯

AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency More ❯

related degree (essential). 6+ years’ experience as a Technical Business Analyst within financial services, ideally in an electronic trading environment. Strong background in cloud-based business analysis (IaaS, SaaS, PaaS, Enterprise). Familiarity with modern tech stacks including AWS , Java, and/or C++ . Electronic Trading - Market Data - FIX Protocol - ITCH - FIX Connectivity - Exchange Connectivity - Latency improvement - Networking More ❯

AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency More ❯

AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency More ❯

AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency More ❯

AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency More ❯

AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency More ❯

AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency More ❯

AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency More ❯

AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency More ❯

AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency More ❯

AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency More ❯