Arocom IT Solutions Pvt Ltd Logo

Arocom IT Solutions Pvt Ltd

AWS Technical Lead / Architect

Posted 17 Days Ago
Remote
Hiring Remotely in United States
2M-3M Annually
Senior level
Remote
Hiring Remotely in United States
2M-3M Annually
Senior level
Lead AWS architecture across multiple projects, owning cloud solution design, infrastructure, security boundaries, data platforms, and AI integrations. Establish Infrastructure as Code and engineering standards, conduct code reviews, mentor developers, estimate work, and guide agile teams. Translate technical trade-offs into business value, document designs, assess deliverables before deployment, and support production-grade delivery using serverless, data, and machine learning technologies.
The summary above was generated by AI

The Role We are looking for a hands-on AWS Technical Lead to act as the architectural anchor. You will not just be coding; you will be the "Technical North Star".

You will oversee solution design, enforce best practices, and guide the implementation of complex systems ranging from Infrastructure Setups to AI-powered solutions & Enterprise Data Warehouses.

Responsibilities:

  • Provide expert technical guidance across multiple projects.

  • Own the end-to-end cloud architecture. You will decide when to use Lambda vs. Fargate, how to optimize Redshift/Glue, and where to implement security boundaries.

  • While you don't need to be a Data Scientist, you must be comfortable architecting applications that consume AI services (e.g., AWS Bedrock, LLMs, RAG pipelines, and Vector Databases).

  • Conduct code reviews, set standards for Infrastructure as Code (Terraform/CloudFormation), and mentor developers to ensure production-grade delivery.

  • Translate complex technical concepts into business value for our clients, helping them understand trade-offs and risks.

  • You will be the internal client qualifying the deliverables before it goes to deployment

Must-Have Qualifications:

  • Proven track record (5+ years) architecting and deploying solutions on AWS. You should be fluent in Serverless (Lambda, API Gateway), Data Services (S3, Glue, Redshift), and Security (IAM, VPC).

  • Experience leading agile teams, estimating effort, and making architectural trade-offs.

  • Practical experience or strong conceptual knowledge of integrating Machine Learning into web applications (e.g., using LLMs, APIs, or pre-trained models).

  • Strong background in backend engineering (Node.js, Python, or similar).

  • Excellent ability to document technical designs (TDDs) and communicate risks to non-technical stakeholders.

  • AWS Certified Solutions Architect (Professional) or similar.

Nice-to-Have (Bonus Points):

  • Prior experience in Biotech, Life Sciences, or Healthcare. (Familiarity with GxP compliance or genomic data is a huge plus).

  • Experience designing Data Lakes or Analytics pipelines (QuickSight, Power BI migrations).

Perks:

  • 100% Remote: Work from the comfort of your home or city of your choice.

  • Cutting-Edge Projects: Work on the latest tech stack (GenAI, RAG, Serverless) rather than maintaining legacy monoliths.

  • Impact: Your architectural decisions will directly shape the success of our clients' products.

Similar Jobs

11 Days Ago
Remote
United States
134K-174K Annually
Expert/Leader
134K-174K Annually
Expert/Leader
Information Technology
Leads architecture, design, and hands-on implementation of an AWS-based intelligent call-routing platform using AI, conversational interfaces, and programmable communications. Defines API, microservices, serverless, and event-driven architectures; develops with Node.js, Python, and React; conducts architecture reviews; mentors teams; creates proofs of concept; and advises stakeholders through technical workshops. The role requires deep AWS expertise, contact center platform experience, technical leadership, and 25–30% travel.
Top Skills: Api GatewayAWSCloudwatchConversational AiDynamoDBEcsEksEventbridgeGenerative AiIamLambdaMicroservicesNode.jsProgrammable Communications PlatformsPythonRdsReactSnsSqsStep FunctionsStudioTaskrouterVoice Apis
11 Minutes Ago
Remote
US
193K-309K Annually
Senior level
193K-309K Annually
Senior level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Build and own production Vision AI systems end to end, including model selection, inference pipelines, evaluation, monitoring, and customer-facing features. Shape architecture, collaborate with product, design, and engineering teams, and use AI coding tools to accelerate development. Establish high standards for quality, testing, reliability, security, and privacy while mentoring engineers and taking ambiguous ideas from prototype to production.
Top Skills: Claude CodeComputer VisionCursorData ModelingDistributed SystemsGoJavaKotlinLarge Language ModelsMachine LearningMl Inference PipelinesModel EvaluationModel MonitoringPythonQuery LanguagesScalaVision AiVision-Language Models
11 Minutes Ago
Remote
US
230K-368K Annually
Expert/Leader
230K-368K Annually
Expert/Leader
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Architect and build Toast’s Vision AI platform, including video ingestion, processing, storage, inference pipelines, evaluation, and monitoring. Develop production ML services and customer-facing computer vision features, make architecture decisions, write significant code, and guide technical direction. Partner across teams, mentor engineers, establish reliability, security, and privacy standards, and promote AI-assisted development. The role requires deep distributed-systems and cloud expertise, production ML experience, video familiarity, and the ability to take ambiguous ideas from prototype to customer-ready products.
Top Skills: Amazon Kinesis Video StreamsApache KafkaApache PulsarAWSClaude CodeCursorFfmpegGstreamerJavaKotlinLlm ApisPythonVision-Language Model ApisWebrtc

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account