FinOps Engineer

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most systems don’t fail because of one big outage.

They fail because reliability is treated as an afterthought.

Right now, uptime depends too much on individual heroics.

That doesn’t scale.

This role exists to build a reliability system where:

• Uptime is predictable
• Failures are contained
• Escalations don’t depend on leadership

What you’ll do

You will not just monitor systems.

You will own reliability as a product.

1. Drive uptime to production-grade reliability

• Improve system uptime to 99.9% customer-facing SLA within 4 months
• Define and track:
• SLAs / SLOs / error budgets
• Ensure reliability is measured from the customer’s perspective, not internal metrics

2. Build incident response as a system

• Set up a 24/7 incident response rotation across 3 engineers
• Eliminate dependency on leadership (no single escalation point)
• Define:
• Incident severity levels
• Response playbooks
• Escalation protocols
• Ensure fast detection → containment → resolution

3. Contain and fix erratic system behavior

• Identify and resolve:
• Latency spikes
• Downtime incidents
• Integration failures
• Build guardrails to prevent recurrence
• Focus on root cause elimination, not temporary fixes

4. Create continuous reliability feedback loops

• Work closely with engineering teams to:
• Surface recurring failure patterns
• Improve build quality
• Reduce production bugs
• Ensure learnings from incidents directly improve future releases

5. Improve observability and monitoring

• Build dashboards and alerts for:
• System health
• Performance metrics
• Failure signals
• Ensure issues are detected before customers report them

6. Reduce operational fragility

• Remove single points of failure (people, systems, workflows)
• Improve system resilience across:
• Deployments
• Integrations
• Runtime environments

What success looks like

• Uptime reaches 99.9%+ reliably
• Incidents are:
• Detected early
• Contained quickly
• Resolved permanently
• No dependency on a single individual for escalation
• System behavior becomes predictable and stable
• Engineering teams ship with higher reliability confidence

Who you are

• You have 2-5 years of experience in SRE / DevOps / backend systems
• You have worked on production systems with real uptime expectations
• You think in:
• Systems
• Failure modes
• Trade-offs
• You are comfortable debugging live, high-pressure environments

What will make you stand out

• Experience with:
• Distributed systems
• Cloud infrastructure (AWS / Azure / GCP)
• Monitoring & alerting tools
• Have built or improved:
• Incident response systems
• Reliability frameworks
• Strong debugging skills across:
• Infra
• Application
• Integrations

Compensation

₹60,000/month (fixed)

(Aligned with role scope and impact expectations)

Why join

• You will define reliability standards for a production AI platform
• Your work directly impacts:
• Customer trust
• Product performance
• Enterprise readiness
• You will move the system from reactive → predictable

What this role is not

• Not just monitoring dashboards
• Not limited to handling tickets
• Not dependent on escalation to leadership

What this role is

• A builder of reliability systems
• A guardian of uptime and performance
• A multiplier of engineering quality

One question to self-evaluate

Can you build a system where downtime is rare, predictable, and never dependent on a single person?

Skills We Require:- Dev Ops, AWS Admin, terraform, Infrastructure as a Code

SUMMARY:-

• Implement integrations requested by customers
• Deploy updates and fixes
• Provide Level 2 technical support
• Build tools to reduce occurrences of errors and improve customer experience
• Develop software to integrate with internal back-end systems
• Perform root cause analysis for production errors
• Investigate and resolve technical issues
• Develop scripts to automate visualization
• Design procedures for system troubleshooting and maintenance

Have good hands on experience on Dev Ops, AWS Admin, terraform, Infrastructure as a Code

Have knowledge on EC2, Lambda, S3, ELB, VPC, IAM, Cloud Watch, Centos, Server Hardening

Ability to understand business requirements and translate them into technical requirements

DevOps Consultant 

Work Timings: 6.30 AM IST – 3.30 PM IST ( HKT 9.00 AM – 6.00 PM)

Key Skills / Requirements:

• Mandatory
• Integrating Jenkins pipelines with Terraform and Kubernetes
• Writing Jenkins JobDSL and Jenkinsfiles using Groovy
• Automation and integration with AWS using Python and AWS CLI
• Writing ad-hoc automation scripts using Bash and Python
• Configuring container-based application deployment to Kubernetes
• Git and branching strategies
• Integration of tests in pipelines
• Build and release management
• Deployment strategies (eg. canary, blue/green)
• TLS/SSL certificate management
• Beneficial
• Service Mesh
• Deployment of Java Spring Boot based applications
• Automated credential rotation using AWS Secrets Manager
• Log management and dashboard creation using Splunk
• Application monitoring using AppDynamics

If Your profile matches the requirements share your resume at anitha.katintuitvedotcloud

Regards,
Anitha. K
TAG Specialist

• Hands-on knowledge on various CI-CD tools (Jenkins/TeamCity, Artifactory, UCD, Bitbucket/Github, SonarQube) including setting up of build-deployment automated pipelines.
• Very good knowledge in scripting tools and languages such as Shell, Perl or Python , YAML/Groovy, build tools such as Maven/Gradle.
• Hands-on knowledge in containerization and orchestration tools such as Docker, OpenShift and Kubernetes.
• Good knowledge in configuration management tools such as Ansible, Puppet/Chef and have worked on setting up of monitoring tools (Splunk/Geneos/New Relic/Elk).
•             Expertise in job schedulers/workload automation tools such as Control-M or AutoSys is good to have.
• Hands-on knowledge on Cloud technology (preferably GCP) including various computing services and infrastructure setup using Terraform.

• Should have basic understanding on networking, certificate management, Identity and Access Management and Information security/encryption concepts.
• •             Should support day-to-day tasks related to platform and environments upkeep such as upgrades, patching, migration and system/interfaces integration.
• •             Should have experience in working in Agile based SDLC delivery model, multi-task and support multiple systems/apps.
• •             Big-data and Hadoop ecosystem knowledge is good to have but not mandatory.

• Should have worked on standard release, change and incident management tools such as ServiceNow/Remedy or similar

Java with cloud

Job description

The role requires you to design development pipelines from the ground up, Creation of Docker Files,  design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.

Key responsibility area
- Ensure reliable operation of CI/CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.

Requirement
- 2 years experience as Team Lead.
- Good Command on kubernetes.
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins. 
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache. 
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.

Must Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash,shell Python, Go), Ngnix, Docker.

Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Ngios or similar), IaC(Terraform, cloudformation).

Requirements and Qualifications

• Bachelor’s degree in Computer Science Engineering or in a related field
• 4+ years of experience
• Excellent analytical and problem-solving skills
• Strong knowledge of Linux systems and internals
• Programming experience in Python/Shell scripting
• Strong AWS skills with knowledge of EC2, VPC, S3, RDS, Cloudfront, Route53, etc
• Experience in containerization (Docker) and container orchestration (Kubernetes)
• Experience in DevOps & CI/CD tools such as Git, Jenkins, Terraform, Helm
• Experience with SQL & NoSQL databases such as MySql, MongoDB, and ElasticSearch
• Debugging and troubleshooting skills using tools such as strace, tcpdump, etc
• Good understanding of networking protocol and security concerns (VPN, VPC, IG, NAT, AZ, Subnet)
• Experience with monitoring and data analysis tools such as Prometheus, EFK, etc
• Good communication & collaboration skills and attention to details
• Participation in rotating on-call duties

• 5+ years hands-on experience with designing, deploying and managing core AWS services and infrastructure
• Proficiency in scripting using Bash, Python, Ruby, Groovy, or similar languages 
• Experience in source control management, specifically with Git
• Hands-on experience in Unix/Linux and bash scripting
• Experience building, managing Helm-based build and release CI-CD pipelines for Kubernetes platforms (EKS, Openshift, GKE) 
• Strong experience with orchestration and config management tools such as Terraform, Ansible or Cloudformation  
• Ability to debug, analyze issues leveraging tools like App Dynamics, New Relic and Sumologic 
• Knowledge of Agile Methodologies and principles 
• Good writing and documentation skills
• Strong collaborator with the ability to work well with core teammates and our colleagues across STS