Senior Software Engineer to join the DEA team in the Personalisation space, owning core DXP services including Customer Data Platform (CDP), Datastore, user journey mapping, and A/B testing.
Responsibilities
Take end-to-end technical ownership of core DEA services including Customer Data Platform (CDP), Datastore, user journey mapping, and A/B testing
Architect greenfield systems and features using MoSCoW prioritization
Design resilient cloud architectures on AWS with a strict focus on reducing data transfer costs
Own core DXP services including Customer Data Platform (CDP), Datastore, user journey mapping, and A/B testing, building resilient, secure, and cost-efficient cloud systems.
Responsibilities
Take end-to-end technical ownership of core DEA services including Customer Data Platform (CDP), Datastore, user journey mapping, and A/B testing
Architect greenfield systems and features using MoSCoW prioritization
Design resilient cloud architectures on AWS with a strict focus on reducing data transfer costs
Own core DXP services including Customer Data Platform (CDP), Datastore, user journey mapping, and A/B testing, building resilient, secure, and cost-efficient cloud systems.
Responsibilities
Take end-to-end technical ownership of core DEA services including Customer Data Platform (CDP), Datastore, user journey mapping, and A/B testing
Architect greenfield systems and features using MoSCoW prioritization
Design resilient cloud architectures on AWS with a strict focus on reducing data transfer costs
Found ZURU's reliability engineering: platforms that are durable, scale with the business and stay fast. Architect for change, so systems scale elastically with demand, not to a plan. Stay at the front of agent-first operations, and keep raising the bar on what our platforms can carry.
Locations (2)
Singapore, Singapore
Auckland, Auckland, New Zealand
Responsibilities
Load-test, profile and tune core apps
Make every service scale up and down with demand, automatically
Build durable workflows on Temporal, with tested backup and recovery for every data store
Design and deliver cloud-native applications supporting large-scale data, analytics, and operational workflows, taking end-to-end ownership from technical design through deployment and production support.
Responsibilities
Design, develop, test, and maintain full-stack applications using React.js, Node.js, .NET, and Python.
Build secure, scalable, and high-performance RESTful APIs, microservices, and backend services.
Develop intuitive frontend interfaces, administration tools, and operational portals supporting analytics and reporting workflows.
Integrate applications with cloud-based data platforms and AWS services, including Amazon S3, EC2, Lambda, and EMR.
Translate business and functional requirements into technical designs and implementation plans.
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
The Staff Site Reliability Engineer will drive the reliability, security, and operational excellence of mission-critical cloud-native platforms supporting enterprise software solutions.
Compensation
Annual base salary ranging from CAD 140,000 to CAD 155,000.
Responsibilities
Drive site reliability engineering initiatives and operational excellence across mission-critical services running on AWS and Kubernetes.
Design, implement, and continuously improve deployment, release, and rollback strategies for complex distributed systems.
Build and maintain secure-by-default CI/CD pipelines with robust automation, governance, and policy-driven controls.
Improve platform observability through metrics, logging, distributed tracing, and actionable alerting.
Define, implement, and continuously mature Service Level Indicators (SLIs), Service Level Objectives (SLOs), and organization-wide reliability standards.
Seeking an experienced Senior Backend Engineer to design, develop, and maintain scalable, high-performance backend systems and modern web applications, taking ownership of complex engineering projects and contributing to architectural decisions.
Compensation
Competitive compensation package.
Responsibilities
Design, develop, and maintain scalable, data-driven backend systems and APIs
Provide technical guidance to engineering teams and mentor developers
Build and maintain web applications and supporting digital platforms
Develop innovative solutions for presenting and managing data and content
Design and implement RESTful APIs and integrate third-party services
Lead the technical design, prototyping, and deployment of autonomous and semi-autonomous AI workflows supporting a federal financial crimes focused agency, executing an agentic foundation initiative.
Responsibilities
Architect and scale multi-agent systems driving the agentic foundation
Develop specialized agents capable of parsing complex unstructured narratives in SARs
Implement agent coordination pipelines using frameworks such as LangGraph, AutoGen, CrewAI, or Amazon Bedrock Agents
Bridge agent reasoning with the client's Lakehouse data platform
Deploy production agentic solutions on AWS GovCloud
Lead engineering efforts for open-source security solutions within Infosys Financial Services unit, translating business and technical requirements into actionable specifications, designing and validating prototypes, integrating security controls into CI/CD pipelines, and maintaining comprehensive technical documentation.
Compensation
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
Responsibilities
Elicit and document business and technical requirements
Participate in design meetings and create initial design concepts
Refine prototypes and coordinate with teams for implementation
Develop and refine solution specifications and perform validation activities
Build and refine prototypes incorporating testing results
Requirements
Bachelor’s degree in Computer Science or related field
Nice to have: AI/ML open-source ecosystems security
Nice to have: Enterprise Open-Source Platform Engineering
Nice to have: Software supply chain governance metrics
We are seeking an experienced AWS AI Engineer with strong expertise in Generative AI, Agentic AI, AWS Bedrock, Python, Prompt Engineering, and Advanced RAG Architecture.
Responsibilities
Design, develop, and implement Generative AI and Agentic AI solutions using AWS services.
Build advanced RAG architectures, LLM-powered applications, and autonomous AI agents.
Develop reusable components, APIs, and MVP user stories.
Work with AWS Bedrock, Agent Core Platform, AWS Strands, SageMaker, and other core AWS services.
Design and optimize prompts, fine-tune models, and implement AI safety mechanisms.
Site Reliability EngineerNewZURU · Remote, Singapore+1 more
Staff Site Reliability EngineerNewJobgether · Remote, US
Senior Agentic AI EngineerNewElevate Government Solutions · Washington, US
OpenSource Security EngineerNewInfosys · Hartford, US