OpenSearch Architect Job at SoftClouds (Hyderabad)

Staff Software Engineer : Storage, Search, & Data Platforms

The Storage, Search, and Data (SSD) group is the custodian of Uber's digital int...

Location

United States , Seattle; San Francisco; Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

12+ years of software engineering experience, with a proven history of designing and operating massive-scale distributed data systems
Elite engineering skills in Go, Java, C++, or Rust. You are comfortable deep-diving into database internals, kernel-level optimizations, and complex distributed consensus protocols
Proven experience leading technical strategy across multiple teams or organizations, turning high-level business goals into concrete technical realities
Extensive experience managing Tier-0, mission-critical systems with 99.99% availability and global blast-radius constraints

Job Responsibility

Define and execute the multi-year roadmap to transition Uber from Data Storage to a Cloud-Native Data Provider, solving for cross-region latency, global metadata consistency, and exabyte-scale cost efficiency
Partner with Uber's AI/ML leadership to architect the Data-to-GPU pipeline. You will design the one-stop storage APIs that allow researchers to leverage high-performance data access across multi-cloud regions and vendors seamlessly
Drive the next generation of our core engines: Docstore (NoSQL), Vitess (Sharded MySQL), Apache Pinot (Real-time Analytics), and OpenSearch (Discovery)
You will represent Uber in the global community as a leader in key open source technologies including Apache, Hudi, Iceberg and many others

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Various benefits

Fulltime

Senior Search Engineer - Search and Browse Core

Join the Search Retrieval Team, the engine driving product and content discovery...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

Deep Search Expertise: Extensive experience building large-scale, preferably e-commerce, search engines. While our stack is built on Elasticsearch, we highly value equivalent expertise in Lucene, OpenSearch, Solr, or other distributed search systems.
Real-Time Data Pipeline Experience: Proven ability to design and build high-throughput data ingestion pipelines using Kafka and/or Flink or equivalent stream-processing frameworks.
Strong Backend Foundation: High proficiency in a JVM language (Java, Kotlin, or Scala) and a deep understanding of distributed systems architecture, concurrency, and performance optimization.
Cross-Functional Collaboration: Excellent communication skills. You thrive when working closely with fellow engineers, applied scientists, and product partners, and you possess a knack for translating complex product requirements into reusable, reliable platform capabilities.

Job Responsibility

Architect the Future of Search: Lead the design and implementation of our next-generation, AI-driven search engine, integrating Neural Search on top of our Elasticsearch platform.
Build for Hyperscale: Modernize and scale our real-time data ingestion systems using technologies like Kafka and Flink to handle millions of updates.
Drive Platform Innovation: Develop core platform capabilities that enable teams across Zalando to build rich, personalized discovery experiences for our customers.
Drive Operational Excellence and Cost Efficiency: Lead platform-wide infrastructure projects, such as consolidating multi-lingual search indices, mitigating critical risks by migrating core services, and supporting system readiness for high-traffic events like Cyber Week.

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
2 paid volunteering days a year
Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration
Work from abroad for up to 30 working days a year
27 days of vacation a year (for Zalando SE)
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching available

Fulltime

Unix - Senior Cloud - Digital Engineering Sr. Staff Engineer

Location

India , Noida

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Should have a minimum of 8 to 10 years of experience as a Linux/Unix System Administrator. Should have expertise on at least 2 flavors of Unix. Linux is a must!
Should have a deep level of understanding of Linux OS & should be able to handle day to day admin tasks.
Should be well versed shell scripting.
Expert in Unix-Linux, AWS Cloud Administration, OS/server administration, patching, maintenance, and troubleshooting.
Proficient in operating and troubleshooting AWS services like EC2, networking, RDS, backups, storage (EBS, EFS, S3, Glacier), and security (Well-Architected framework).
Possesses a strong understanding of networking concepts for configuring secure VPCs, subnets, landing zones, ACLs, and security groups.
Experience in end-to-end cloud migrations, including strategy, assessment, design, architecture, and execution on AWS.
Skilled in identifying and migrating suitable applications and workloads, gathering migration requirements, and collaborating with stakeholders.
Good knowledge of various AWS services like Lambda, SNS, SQS, DynamoDB, OpenSearch, Transfer Family, CloudWatch, EC2, EFS, EKS, Step Functions, ELB, ACM, Directory Services, and networking.
Hands-on expertise in designing, architecting, deploying, and supporting hybrid cloud environments.

Job Responsibility

Perform installation, customization and maintenance of the UNIX-LINUX Server operating system and system software products in support of business processing requirements for both On-premise and Cloud environment
Evaluate and integrate new operating system versions, drivers and hardware.
Provides in-depth diagnosis for operating systems software/hardware failures and develops solutions.
Monitors and tunes the system to achieve optimum performance levels in standalone and multi-tiered environments.
Conducts system analysis, configuration management and develops improvements for system software performance, availability and reliability.
Implements appropriate levels of system security. Maintain security patching and remediating vulnerabilities, propose solutions for the same.
Perform incident resolution, problem determination and root cause analysis in accordance with service level. Knowledge of ITIL.
Recommend and implement modifications to the server environment, Innovation, Ideas to improve
Preparation of Standard Documents and periodically review them for modifications
Identifies opportunities for process and procedure enhancements to drive efficiency and customer service levels.

Fulltime

Technical Lead / Engineering Manager, Full Stack - Gen AI

At Codvo, we are committed to building scalable, future-ready data platforms tha...

Location

India

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

10+ years of overall professional experience in software engineering, with a clear progression into technical leadership
3+ years of experience in a formal technical leadership or engineering management role (e.g., Tech Lead, Architect, or EM)
5+ years of hands-on-keyboard experience in backend, AI, or full-stack engineering
Expert-level proficiency in a primary backend language (e.g., Python, Node.js) and object-oriented design principles
4+ years of experience architecting, developing, and delivering AI/ML or cloud-native solutions on AWS
Bachelor's degree in Computer Science, Engineering, or a related technical field
Proven experience in leading, mentoring, and growing engineering teams
Demonstrable experience owning end-to-end project delivery, managing technical risks, and ensuring timely execution of milestones
Excellent communication and interpersonal skills
Demonstrable expertise in system design and architecture of complex, scalable, and secure distributed systems

Fulltime

Key Account Director

As Key Account Director, North America, you will own the commercial relationship...

Location

United States , Austin

Salary:

Not provided

Aiven Deutschland GmbH

Expiration Date

Until further notice

Requirements

Significant experience in B2B technology sales having managed strategic or named accounts of similar scale and complexity ($1M+ ARR per account, multi-stakeholder enterprise organizations)
Proven track record of driving expansion revenue within existing accounts
Experience managing accounts where you've navigated matrixed organizations with distributed decision-making
Demonstrated success in consumption-based or usage-based revenue models where revenue scales with adoption
Ability to build and maintain executive relationships at VP and C-level
Experience multi-threading across buying centers: platform engineering, data engineering, infrastructure, DevOps, procurement, IT governance, and line-of-business technology teams
Understanding of enterprise procurement, legal, and vendor management functions
Track record of developing internal champions who advocate for expansion within their organizations
Familiarity with open-source data infrastructure: Apache Kafka, PostgreSQL, OpenSearch, ClickHouse, or similar technologies
Understanding of cloud infrastructure and managed services: AWS, OCI, GCP, Azure ecosystem, and how customers make build-vs-buy decisions for data platform components

Job Responsibility

Own Expansion Revenue Outcomes: Deliver net new expansion ARR annually across 6 named strategic accounts through new workloads, new services, new business units, and competitive displacement
Protect and retain existing ARR with 100% gross retention
Build and maintain 3.5x qualified pipeline coverage against expansion targets using rigorous MEDDPICC standards for every opportunity
Achieve ±10% forecast accuracy at commit with evidence-based qualification
Drive consumption growth through adoption initiatives that expand usage of contracted services
Build & Execute Strategic Account Plans: Develop 12-month account plans for each of the 6 accounts with documented whitespace analysis, stakeholder maps, competitive positioning, and prioritized expansion plays
Identify and qualify growth vectors: new Aiven services not yet deployed, new cloud regions, new business units, workloads on self-managed infrastructure, competitive displacement opportunities
Map organizational structure and decision-making authority across platform engineering, data engineering, infrastructure, DevOps, and line-of-business technology teams
Maintain living account intelligence: executive changes, organizational restructures, strategic initiatives, M&A activity, technology roadmap shifts that create expansion opportunities or retention risk
Present quarterly business reviews internally with account health assessment, pipeline status, risk register, and resource requirements

What we offer

Competitive base salary + commission structure aligned to expansion targets with accelerators for overachievement
Participate in Aiven's equity plan
Hybrid work policy
Needed equipment
Learning platforms
Annual learning budget
Holistic wellbeing support through global Employee Assistance Program
Contribute to open-source projects through Plankton program
5 days per year to volunteer
Team member resource groups

Fulltime

Ai Technical Architect

Location

United States , Auburn Hills

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

20+ years in software engineering with 5+ years focused on AI/ML systems
3+ years hands-on experience architecting and shipping production LLM and agentic AI applications
Demonstrated success leading enterprise-scale AI platform builds with measurable business outcomes
Track record architecting scalable cloud-native systems on AWS in regulated or large-enterprise environments
Experience leading technical teams, mentoring engineers, and engaging executive stakeholders
Bachelor's or Master's degree in Computer Science, AI/ML, or a related technical field
Expert proficiency with LangGraph, LangChain, and agent orchestration frameworks
Deep experience with Amazon Bedrock, SageMaker, and Amazon Q, including Bedrock Agents and Knowledge Bases
Hands-on experience with Model Context Protocol (MCP), function calling, tool use, and structured output patterns
Strong command of prompt engineering, evaluation harnesses, fine-tuning, and model optimization

Job Responsibility

Design the enterprise AI platform architecture spanning the LLM API gateway, GPU and compute allocation pools, sandbox provisioning, model registry, and security gate automation
Define infrastructure standards, API gateway patterns, and reference architectures consumed by all AI delivery towers and partner integrations
Establish guardrails for token metering, rate limiting, audit logging, DLP validation, SAST, DAST, dependency scanning, and model card review embedded in CI/CD
Review security posture across all AI workloads with mapping to NIST AI RMF, AWS Well-Architected (including the Machine Learning Lens), and applicable enterprise compliance baselines
Architect multi-agent systems using LangGraph, LangChain, and Model Context Protocol (MCP) for complex workflow orchestration, planning, and tool use
Define patterns for ReAct, Chain-of-Thought, Tree-of-Thoughts, and agent-to-agent coordination across enterprise and customer-facing use cases
Design and optimize Retrieval-Augmented Generation (RAG) systems, embedding strategies, and semantic search across structured and unstructured enterprise data
Establish MLOps and AgentOps practices for deployment, evaluation, observability, and continuous improvement of agents and models in production
Architect solutions on Amazon Bedrock, Amazon SageMaker, Amazon Q, Bedrock Agents, and Bedrock Knowledge Bases
Define infrastructure patterns using Amazon EKS, AWS Lambda, ECS Fargate, API Gateway, EventBridge, SNS/SQS, Kinesis, S3, DynamoDB, Aurora, Redshift, Athena, OpenSearch, and Kendra

Fulltime

Ai Aws Architect

Location

United States , Parsippany

Salary:

165000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

10+ years of experience in Software Development & ML engineering, including 4+ years in Solution architecture or AI architecture delivering production-grade systems
Strong hands-on expertise in Python (workflow orchestration, model evaluation), Node.js, and experience working with agent-based frameworks such as AutoGen, LangChain, or ADK. Solid knowledge of prompt engineering techniques and tool-calling mechanisms
Deep understanding of retrieval-augmented systems, including embeddings, chunking strategies, ranking mechanisms, and Vector databases such as Qdrant and MongoDB Atlas with vector search capabilities
Extensive experience in MLOps practices, including CI/CD pipelines for ML models, model registry management, and containerized deployments using Kubernetes
Strong cloud expertise in AWS, with hands-on experience in services such as Amazon Bedrock, SageMaker, AWS Lambda, and Amazon EKS
Demonstrated experience in implementing Responsible AI practices, security best practices (encryption, secrets management, network isolation), and FinOps strategies for AI workloads, including cost and latency optimization

Job Responsibility

Architect and design an end-to-end solution for an AI-driven Retrieval-Augmented system
Define and implement the embedding strategy, document chunking methodology, and ranking techniques to ensure high-quality retrieval
Evaluate, select, and integrate appropriate Large Language Models (LLMs) using Amazon Bedrock
Design and implement a scalable vector database solution (such as OpenSearch, Qdrant, or MongoDB Atlas with vector search)
Architect and deploy the cloud infrastructure leveraging AWS services including Amazon Bedrock (LLM), SageMaker, AWS Lambda, and Amazon EKS
Establish MLOps best practices by designing CI/CD pipelines for model deployment and managing model registry updates
Apply FinOps principles to balance cost and performance, optimizing model size, inference latency, and caching strategies
Design secure access controls and implement secrets management using AWS Secrets Manager

Fulltime

Middle AI/ML Engineer (GenAI, AWS)

Provectus is an AWS Premier Consulting Partner and AI consultancy featured in Fo...

Location

Colombia , Medellín; Bogotá; Bucaramanga; Cali; Barranquilla

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Machine Learning
Deep learning hands-on experience: CNNs, RNNs, Transformers
Depth in at least one domain: NLP, Computer Vision, Recommendation, or Time Series
Experience building LLM apps with OpenAI, Anthropic, or Hugging Face APIs
Hands-on RAG design
Familiarity with vector databases (OpenSearch, Pinecone, Chroma, FAISS)
Understanding of prompt engineering and LLM evaluation
Proficient with AI coding tools (Claude Code, Cursor, Copilot, etc.)
Experience building tool-using, stateful agents with an orchestration framework
Understanding of Model Context Protocol (MCP)

Job Responsibility

Build and deliver ML pipelines from experimentation to production
Build and optimize models — supervised, unsupervised, and generative AI
Write clean, tested, modular Python code
Deploy and monitor models
track performance and prevent drift
Contribute to LLM applications: RAG systems and agent workflows
Use AI coding tools on every task
Use Claude Code or similar AI tools to deliver client projects
Build with agent frameworks (Bedrock AgentCore, Strands, CrewAI, or similar)
Integrate or build MCP servers

What we offer

Competitive salary based on competencies and market rates
Premium AI tooling: Claude Code, Cursor, and Provectus AI toolkit
Mentorship from Senior ML Engineers and Tech Leads
Clear growth path: Mid-Level → Senior ML Engineer → Tech Lead
Learning budget for courses, certifications, and conferences
Remote-first culture
work on projects across LATAM, North America, and Europe
Health benefits

Fulltime

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OpenSearch Architect

Job Description

Job Responsibility

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