Dynatrace Architect

REVIEW CRITERIA:

MANDATORY:

• Strong Senior/Lead DevOps Engineer Profile
• Must have 8+ years of hands-on experience in DevOps engineering, with a strong focus on AWS cloud infrastructure and services (EC2, VPC, EKS, RDS, Lambda, CloudFront, etc.).
• Must have strong system administration expertise (installation, tuning, troubleshooting, security hardening)
• Must have solid experience in CI/CD pipeline setup and automation using tools such as Jenkins, GitHub Actions, or similar
• Must have hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
• Must have strong database expertise across MongoDB and Snowflake (administration, performance optimization, integrations)
• Must have experience with monitoring and observability tools such as Prometheus, Grafana, ELK, CloudWatch, or Datadog
• Must have good exposure to containerization and orchestration using Docker and Kubernetes (EKS)
• Must be currently working in an AWS-based environment (AWS experience must be in the current organization)
• Its an IC role

PREFERRED:

• Must be proficient in scripting languages (Bash, Python) for automation and operational tasks.
• Must have strong understanding of security best practices, IAM, WAF, and GuardDuty configurations.
• Exposure to DevSecOps and end-to-end automation of deployments, provisioning, and monitoring.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• Candidates from NCR region only (No outstation candidates).

ROLES AND RESPONSIBILITIES:

We are seeking a highly skilled Senior DevOps Engineer with 8+ years of hands-on experience in designing, automating, and optimizing cloud-native solutions on AWS. AWS and Linux expertise are mandatory. The ideal candidate will have strong experience across databases, automation, CI/CD, containers, and observability, with the ability to build and scale secure, reliable cloud environments.

KEY RESPONSIBILITIES:

Cloud & Infrastructure as Code (IaC)-

• Architect and manage AWS environments ensuring scalability, security, and high availability.
• Implement infrastructure automation using Terraform, CloudFormation, and Ansible.
• Configure VPC Peering, Transit Gateway, and PrivateLink/Connect for advanced networking.

CI/CD & Automation:

• Build and maintain CI/CD pipelines (Jenkins, GitHub, SonarQube, automated testing).
• Automate deployments, provisioning, and monitoring across environments.

Containers & Orchestration:

• Deploy and operate workloads on Docker and Kubernetes (EKS).
• Implement IAM Roles for Service Accounts (IRSA) for secure pod-level access.
• Optimize performance of containerized and microservices applications.

Monitoring & Reliability:

• Implement observability with Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
• Establish logging, alerting, and proactive monitoring for high availability.

Security & Compliance:

• Apply AWS security best practices including IAM, IRSA, SSO, and role-based access control.
• Manage WAF, Guard Duty, Inspector, and other AWS-native security tools.
• Configure VPNs, firewalls, and secure access policies and AWS organizations.

Databases & Analytics:

• Must have expertise in MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
• Manage data reliability, performance tuning, and cloud-native integrations.
• Experience with Apache Airflow and Spark.

IDEAL CANDIDATE:

• 8+ years in DevOps engineering, with strong AWS Cloud expertise (EC2, VPC, TG, RDS, S3, IAM, EKS, EMR, SCP, MWAA, Lambda, CloudFront, SNS, SES etc.).
• Linux expertise is mandatory (system administration, tuning, troubleshooting, CIS hardening etc).
• Strong knowledge of databases: MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
• Hands-on with Docker, Kubernetes (EKS), Terraform, CloudFormation, Ansible.
• Proven ability with CI/CD pipeline automation and DevSecOps practices.
• Practical experience with VPC Peering, Transit Gateway, WAF, Guard Duty, Inspector and advanced AWS networking and security tools.
• Expertise in observability tools: Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
• Strong scripting skills (Shell/bash, Python, or similar) for automation.
• Bachelor / Master’s degree
• Effective communication skills

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines

OVERVIEW

We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.

The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.

CORE TECHNICAL REQUIREMENTS

Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.

Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.

CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.

Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.

PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.

Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.

WHAT YOU WILL OWN

Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.

Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.

VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.

Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.

Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.

Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.

WHAT SUCCESS LOOKS LIKE

Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.

ENGINEERING STANDARDS

Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.

Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.

Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.

Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.

CURRENT ENVIRONMENT

GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.

WHAT WE ARE LOOKING FOR

Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.

Calm Under Pressure: When production breaks, you diagnose methodically.

Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.

Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.

EDUCATION

University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.

• Understanding of maintenance of existing systems (Virtual machines), Linux stack
• Experience running, operating and maintainence of Kubernetes pods
• Strong Scripting skills
• Experience in AWS
• Knowledge of configuring/optimizing open source tools like Kafka, etc.
• Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
• Optimizing and standardizing monitoring, alerting.
• Experience in Google cloud platform
• Experience/ Knowledge  in Python will be an added advantage
• Experience on Monitoring Tools like Jenkins, Kubernetes ,Terraform  etc

Implementation Engineer

Implementation Engineer Duties and Responsibilities

• Understanding requirements from internal consumers about program functionality.
• Perform UAT tests on application with help of test cases and prepare documents for same and coordinate with team to resolve all issues within required timeframe and inform management of any delays.
• Collaborate with development team to design new programs for all client implementation activities and manage all communication with department to resolve all issues and assist implementation analyst to manage all production data.
• Perform research on all client issues and document all findings and implement all technical activities with help of JIRA.
• Assist internal teams to monitor all software implementation lifecycle and assist to track appropriate customization to all software for clients.
• Train technical staff on all OS and software issues and identify all issues in processes and provide solutions for same. Train other team members on processes, procedures, API functionality, and development specifications.
• Supervise/support crossed-functional teams to design, test and deploy to achieve on-time project completion.
• Implement, configure, and debug MySQL, JAVA, Redis, PHP, Node, ActiveMQ setups.
• Monitor and troubleshoot infrastructure utilizing SYSLOG, SNMP and other monitoring software.
• Install, configure, monitor and upgrade applications during installation/upgrade activities.
• Assisting team to identify network issue and help them with respective resolutions.
• Utilize JIRA for issue reporting, status, activity planning, tracking and updating project defects and tasks.
• Managing JIRA and tracking tickets to closure and follow-ups with team members.
• Troubleshoot software issues
• Provide on-call support as necessary

Implementation Engineer Requirements and Qualifications

• Bachelor’s degree in computer science, software engineering, or a related field
• Experience working with
• Linux & Windows Operating system
• Working on shell and bat scripts
• SIP/ISUP based solutions
• deploying / debugging Java, C++ based solutions.
• MySQL to install, backup, update and retrieve data
• Front-end or back-end software development for LINUX
• database management and security a plus
• Very good debugging and analytical skills
• Good Communication skills

What you need to have:

• Works independently without any supervision
• Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization
• Experience in deploying highly complex, distributed transaction processing systems.
• Stay abreast with new innovations and the latest technology trends and explore ways of leveraging these for improving the product in alignment with the business.
• As a component owner, where the component impacts across multiple platforms (5-10-member team), work with customers to obtain their requirements and deliver the end-to-end project.

Required Experience, Skills, and Qualifications

• 5+ years of experience as a DevOps Engineer. Experience with the Golang cycle is a plus
• At least one End to End CI/CD Implementation experience
• Excellent Problem Solving and Debugging skills in DevOps area· Good understanding of Containerization (Docker/Kubernetes)
• Hands-on Build/Package tool experience· Experience with AWS services Glue, Athena, Lambda, EC2, RDS, EKS/ECS, ALB, VPC, SSM, Route 53
• Experience with setting up CI/CD pipeline for Glue jobs, Athena, Lambda functions
• Experience architecting interaction with services and application deployments on AWS
• Experience with Groovy and writing Jenkinsfile
• Experience with repository management, code scanning/linting, secure scanning tools
• Experience with deployments and application configuration on Kubernetes
• Experience with microservice orchestration tools (e.g. Kubernetes, Openshift, HashiCorp Nomad)
• Experience with time-series and document databases (e.g. Elasticsearch, InfluxDB, Prometheus)
• Experience with message buses (e.g. Apache Kafka, NATS)
• Experience with key-value stores and service discovery mechanisms (e.g. Redis, HashiCorp Consul, etc)
  
  

About the client :

Asia’s largest global sports media property in history with a global broadcast to 150+ countries. As the world’s largest martial arts organization, they are a celebration of Asia’s greatest cultural treasure, and its deep-rooted Asian values of integrity, humility, honor, respect, courage, discipline, and compassion. Has achieved some of the highest TV ratings and social media engagement metrics across Asia with its unique brand of Asian values, world-class athletes, and world-class production. Broadcast partners include Turner Sports, Star India, TV Tokyo, Fox Sports, ABS-CBN, Astro, ClaroSports, Bandsports, Startimes, Premier Sports, Thairath TV, Skynet, Mediacorp, OSN, and more. Institutional investors include Sequoia Capital, Temasek Holdings, GIC, Iconiq Capital, Greenoaks Capital, and Mission Holdings. Currently has offices in Singapore, Tokyo, Los Angeles, Shanghai, Milan, Beijing, Bangkok, Manila, Jakarta, and Bangalore.

Position : Devops Engineer – SDE3

As part of the engineering team, you would be expected to have deep technology expertise with a passion for building highly scalable products. This is a unique opportunity where you can impact the lives of people across 150+ countries!

Responsibilities

• Develop Collaborate in large-scale systems design discussions.

• Deploying and maintaining in-house/customer systems ensuring high availability, performance and optimal cost.

• Automate build pipelines. Ensuring right architecture for CI/CD

• Work with engineering leaders to ensure cloud security

• Develop standard operating procedures for various facets of Infrastructure services (CI/CD, Git Branching, SAST, Quality gates, Auto Scaling)

• Perform & automate regular backups of servers & databases. Ensure rollback and restore capabilities are Realtime and with zero-downtime.

• Lead the entire DevOps charter for ONE Championship. Mentor other DevOps engineers. Ensure industry standards are followed.

Requirements

• Overall 5+ years of experience in as DevOps Engineer/Site Reliability Engineer

• B.E/B.Tech in CS or equivalent streams from institute of repute

• Experience in Azure is a must. AWS experience is a plus

• Experience in Kubernetes, Docker, and containers

• Proficiency in developing and deploying fully automated environments using Puppet/Ansible and Terraform

• Experience with monitoring tools like Nagios/Icinga, Prometheus, AlertManager, Newrelic

• Good knowledge of source code control (git)

• Expertise in Continuous Integration and Continuous Deployment setup using Azure Pipeline or Jenkins

• Strong experience in programming languages. Python is preferred

• Experience in scripting and unit testing

• Basic knowledge of SQL & NoSQL databases

• Strong Linux fundamentals

• Experience in SonarQube, Locust & Browserstack is a plus