Tech jobs
Job listings
Senior Data Engineer
We are seeking a highly skilled Senior Data Engineer to join our dynamic team in Andhra Pradesh. The ideal candidate will have extensive experience in designing and implementing data solutions using Snowflake, Python,…
GTM Engineer - AI Agents
Designs, builds and deploys AI agents and AI-powered Go-to-Market automation workflows for a B2B SaaS client, working hybrid from Pune on EMEA-shift hours. Core stack: AWS serverless (Lambda, Step Functions, EventBridge, Bedrock), REST API integrations, and LLM tooling like MCP, RAG and prompt engineering.
Walk-in || Senior Aws Cloud Developer
Position name : AWS Cloud Developer Job Location : Mumbai Experience : 5-10 years Key Result Areas: Lead and contribute to end to end SDLC activities including requirement analysis, solution design, development,…
Lead Engineer
Role & responsiblities- .NET Developer with AWS - Job Description Position: .NET Developer / Senior .NET Developer Location: Hyderabad / Pune / Bangalore Experience: 8-13 Years Required Skills Strong experience in .NET…
Ingeniero DevOps - Hibrido (CDMX)
DevOps Engineer leading application modernization and cloud architecture alignment at Orion Innovation in Mexico City (hybrid), working with AWS, Kubernetes, CI/CD pipelines, IaC, and AI-assisted operations.
Engineering Manager / EM - Application
ミツモアのミッション / Our Mission 「日本のGDPを増やし 明日がもっといい日になる と思える社会に」 労働生産性が先進国の中で低く、GDPも実質賃金も下がり続けている日本。 その閉塞感を打破するために、ミツモアはサービス産業の生産性向上を追求します。…
EY - Data Engineer - PySpark/AWS
Data Engineer at EY GBS (Delhi/Pune/Bangalore) who designs, builds and supports scalable ETL/ELT data pipelines on AWS using PySpark and SQL — processing large datasets, performance-tuning, and monitoring production pipelines. Requires 5-10 years in data engineering.
Java Aws Developer
Role & responsibilities Role: Java Technical Lead / Senior Java Developer Experience: 7-12 Years (flexible based on expertise) Mandatory Skills: Java, AWS, Microservices Job Summary We are looking for a highly skilled,…
GTM Engineer- AI Agents and AWS
GTM engineer designing and deploying AI agents and automated go-to-market workflows for a B2B SaaS client: building serverless integrations on AWS (Lambda, Step Functions, EventBridge, Bedrock) and LLM-driven agentic workflows with MCP, guardrails, and observability. Hybrid role in Pune on EMEA hours.
Software Engineer - Wagering Platform
Software engineer building and maintaining RWWA's wagering platform and customer-facing channels in an agile squad: designing, coding and testing C#/.NET services on AWS (EC2, ECS, Lambda, DynamoDB, CloudFormation) with Docker, plus continuous improvement and on-call support. WA-based or remote within Australia; Australian working rights required.
Software Engineer - Wagering Platform
About the Role We are currently in search of high energy Software Engineer to be the driving force for positive change, improvements, and successful delivery of our Wagering Platform. In this role you will actively…
Lead AI Backend Developer
Leads backend architecture for a greenfield AI SaaS product serving fashion and e-commerce creative workflows, onsite in Bengaluru. Builds scalable Python/PostgreSQL/AWS-serverless services with AI agent orchestration, search, and image/video media pipelines while mentoring engineers.
M71 - Full Stack Engineer
Full stack engineer (Consultant or Senior Consultant level) modernising a large-scale legacy platform into a cloud-native AWS architecture: building ReactJS/TypeScript frontends and Golang/Kotlin backend services, with Terraform, Docker/Kubernetes (EKS), GitLab CI/CD, observability, and Singapore identity integrations like Singpass/Corppass.
M02 - ML/AI Engineer (FAM)
ML/AI engineer embedded in a public-sector fraud analytics team (FPT engagement in Singapore), building two agentic AI systems: one surfacing emerging fraud risks and one turning validated risks into detection logic. Core stack: Python, LLM/agent frameworks (LangGraph/CrewAI), AWS data services (Redshift, Glue), with evaluation, guardrails and MLOps.
M01 - ML/AI Engineer (DPA)
ML/AI Engineer on the data platform and architecture team, productionising and operating machine-learning and AI workloads on an enterprise data platform using AWS and Databricks — building data/feature pipelines, MLOps/AIOps components, monitoring, governance and cost optimisation.
Cloud Infrastructure Engineer / クラウドインフラエンジニア
Designs, builds, and secures AWS-based cloud infrastructure for a fast-growing fintech platform, automating deployments and ensuring high availability for payment and banking systems.
AI Engineer
A new transformational adventure awaits you… How does 5 weeks of annual leave, a fulfilling career you'll genuinely enjoy, and working for a reputable organization that promotes wellbeing and drives digital…
Java Full Stack Developer
Roles and Responsibilities : Design, develop, test, deploy and maintain complex Java FullStack applications using Spring Boot microservices architecture. Collaborate with cross-functional teams to identify requirements…