Application Support Engineer / Full Stack (Python + typescript) Support Engineer - Remote Work

Application Support Engineer

Title: Application Support Engineer

Location: Remote work

Work timings: 24*7 Rotational shifts

Key Responsibilities

Application Support (60%)

• Troubleshoot and resolve Sev1/Sev2 production issues in a timely manner.
• Perform root cause analysis (RCA) for application, infrastructure, and CI/CD-related issues.
• Monitor system health using Datadog, AWS CloudWatch, or equivalent tools.
• Respond to alerts, manage escalations, and ensure adherence to SLAs.
• Maintain detailed incident documentation, RCAs, and update runbooks.
• Collaborate with DevOps, Development, and Cloud teams to ensure application reliability.

• Follow managed services operational processes for smooth support operations.

Development & Automation (40%)

• Debug, enhance, and maintain applications built using Python and TypeScript.
• Develop automation scripts and tools to streamline support operations.
• Apply patches, bug-fixes, and implement small enhancements as required.
• Work with development teams to enhance reliability, stability, and performance.

Required Skills

• Strong hands-on programming experience in Python and working knowledge of TypeScript.
• Ability to troubleshoot issues across AWS services including VPC, Security Groups, IAM, EC2, ECS, Lambda, S3, RDS, DynamoDB, SQS, SNS, Secrets Manager, and Parameter Store.
• Practical experience with CI/CD pipelines using CircleCI or Jenkins, including pipeline monitoring and issue resolution.
• Proficiency with monitoring tools such as Datadog (preferred) or AWS CloudWatch, including log analysis, metrics evaluation, and alert handling.
• Understanding of operational workflows in managed services projects, including incident management, change management, SLA adherence, and shift-based support operations.
• Ability to independently handle production support shifts with strong analytical and problem-solving skills.

• Strong communication, documentation, and stakeholder-handling abilities.

Nice-to-Have Skills

• Basic knowledge of Kotlin and C#.
• Experience with log management tools such as ELK or Splunk.
• Familiarity with microservices or serverless architectures.

• Exposure to ITIL or ITSM processes.

If you believe you are qualified and are looking forward to setting your career on a fast track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role.

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.

At Techolution, we build custom AI solutions that produce revolutionary outcomes for enterprises worldwide. Specializing in "AI Done Right," we leverage our expertise and proprietary IP to transform operations and help achieve business goals efficiently.

Advantage DoD 2024 Symposium

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
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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.