Job Description
We are seeking a highly skilled
Site Reliability Engineer - AWS
to enhance the reliability, scalability, and security of our cloud infrastructure. The ideal candidate will be responsible for designing, implementing, and maintaining high-availability systems, automating processes, and ensuring seamless operations on AWS. This role requires expertise in
DevOps, cloud automation, monitoring, and incident response .
Title : Site Reliability Engineer - AWS
Location : Remote Work
Employment Type: Full-time
Exp level: 3 - 6 years only
Work timings : 24*7 rotational shifts
Responsibilities:
Design and maintain highly available, scalable, and fault-tolerant AWS infrastructure to ensure system reliability and performance.
Proactively monitor and troubleshoot system issues, minimizing downtime and optimizing system performance.
Develop and maintain Infrastructure as Code (IaC) using Terraform, CloudFormation, or AWS CDK to automate deployments and infrastructure management.
Implement and optimize continuous integration and deployment (CI/CD) pipelines using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.
Ensure AWS environments meet security best practices, including IAM policies, network security configurations, and compliance requirements.
Set up and manage monitoring and logging solutions using tools such as Prometheus, AWS CloudWatch, ELK Stack, and Datadog.
Identify and address performance bottlenecks through load balancing, caching strategies, and system optimizations.
Work closely with developers, security teams, and product managers to enhance system architecture and operational efficiency.
Required Skills & Experience
Strong experience in
AWS services
such as
EC2, Lambda, EKS, S3, SageMaker, DynamoDB, and IAM .
Expertise in
Infrastructure as Code (IaC)
tools like
Terraform or CloudFormation .
Proficiency in
CI/CD pipelines
using
GitHub Actions, Jenkins, or AWS CodePipeline .
Experience with
containerization and orchestration
(Docker, Kubernetes, Helm).
Strong knowledge of
monitoring, logging, and alerting
tools (CloudWatch, Prometheus, ELK, Datadog).
Solid
Python, Bash, or Golang
scripting skills for automation.
Experience working with
ML models in production environments
is a plus.
Familiarity with
security best practices
(IAM, VPC security, encryption, WAF).
Strong problem-solving and troubleshooting skills.
Preferred Qualifications
Experience with
MLOps
frameworks and AI model deployment.
Knowledge of
AWS AI/ML services
like SageMaker, Bedrock, or AI pipelines.
Hands-on experience with
Kafka, Spark, or other big data technologies .
About Techolution :
Techolution is a next gen Consulting firm on track to become one of the most admired brands in the world for \"innovation done right\". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve.
With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade AI to Real World AI. Other focus areas being Enterprise Cloud, Product Innovation (IoT, 3D printing, Robotics), Real World AI Services (CV, LLM, CNN).
We are honored to have recently received the prestigious Inc 500 Best In Business award, a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at
Advantage DoD 2024 Symposium
and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve.
Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - https://www.luvtulsidas.com/
Let's explore further!
Uncover our unique AI accelerators with us:
1. Enterprise LLM Studio: Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes.
2. AppMod. AI: Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands!
3. ComputerVision. AI: Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration!
4. Robotics and Edge Device Fabrication: Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services.
5. RLEF AI Platform: Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI.
6. AI Center of Excellence: Establishes an AI Center of Excellence to maximize AI potential and ROI.
7. FaceOpen: AI-powered user identification system using image recognition and deep neural networks, eliminating the need for keys, badges, or fingerprint scanners!
Some videos you wanna watch!
Computer Vision demo at The AI Summit New York 2023
Life at Techolution
GoogleNext 2023
Ai4 - Artificial Intelligence Conferences 2023
WaWa - Solving Food Wastage
Saving lives - Brooklyn Hospital
Innovation Done Right on Google Cloud
Techolution featured on Worldwide Business with KathyIreland
Techolution presented by ION World’s Greatest
Visit us @www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.
