GCP Devops Engineer

Role & Responsibilities

• You take end-to-end ownership of infrastructure, design, scale, and operate it. This goes beyond execution. Here's what that looks like day to day:
• Own the design, architecture, and reliability of Locus's cloud infrastructure across AWS, Azure, GCP, and Aliyun, supporting multi-region, global deployments.
• Lead the evolution of our CI/CD ecosystem, optimize and refactor our Jenkins-as-Code setup for scalability, performance, and developer efficiency.
• Drive the Infrastructure as Code (IaC) journey end-to-end, migrate existing cloud resources, alarms, and configurations fully into code with strong versioning, review, and rollback practices.
• Partner with engineering teams to identify and resolve performance, scalability, and reliability bottlenecks, deep dives into memory, CPU, networking, and storage constraints.
• Define and implement monitoring, alerting, and incident response best practices, improve MTTR, system observability, and operational readiness.
• Lead initiatives around cost optimization, security hardening, and capacity planning, keep infrastructure efficient and compliant as the platform scales.
• Act as a technical mentor for junior DevOps engineers and raise the overall DevOps maturity across teams.

Ideal Candidate

• Strong Senior DevOps Engineer Profile
• Mandatory (Experience 1): Must have 5+ years in DevOps / SRE / Infrastructure roles with hands-on experience (clear scale signals like traffic, uptime, latency, infra size should be mentioned)
• Mandatory (Experience 2): Must have B2B SaaS company experience with multi-tenant architecture OR multiple production stacks (multi-env / multi-client systems)
• Mandatory (Tech Skills 1 - Cloud & Infra): AWS (VPC, EKS, EC2, RDS, networking), Kubernetes (EKS) at scale, Designing high availability, multi-region systems
• Mandatory (Tech Skills 2 - Automation & IaC): Terraform (must-have), Helm / GitOps, Strong scripting (Python / Go / Bash)
• Mandatory (Tech Skills 3 - CI/CD & Release): Scalable CI/CD pipelines (GitHub Actions / Jenkins), Zero/low downtime deployments
• Mandatory (Tech Skills 4 - Reliability & Observability): SRE principles (SLOs, SLIs, error budgets), Monitoring tools (Prometheus, Grafana, Datadog), Alerting, on-call, incident management
• Mandatory (Education): BTech in Computer Science or related fields
• Mandatory (Company): Strong B2B SaaS product companies only (good scaled)

Key Responsibilities:-

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group

• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution

• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code

• Design, develop and maintain the framework for the analytical pipeline

• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation

• Provide input and help implement framework and tools to improve data quality

• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

Description

DevOps Engineer / SRE

• 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 ,Nagios,Terraform  etc

About the job

Our goal

We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

The role:

Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.

Responsibilities

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
• Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
• Continually evaluate and improve DevOps processes for a cloud-native codebase.
• Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
• Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

• 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
• Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
• Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
• 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
• Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
• (Bonus: worked with big data in data lakes/warehouses).
• (Bonus: built an end-to-end ML pipeline)

Skills

• Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
• Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
• Strong independent contributor as well as a team player.
• Working knowledge of ML and familiarity with concepts of MLOps

Benefits

• Competitive Salary
• Work Remotely
• Health insurance
• Unlimited Time Off
• Support for continual learning (free books and online courses)
• Reimbursement for streaming services (think Netflix)
• Reimbursement for gym or physical activity of your choice
• Flex hours
• Leveling Up Opportunities

You will excel in this role if

• You have a product mindset. You understand, care about, and can relate to our customers.
• You take ownership, collaborate, and follow through to the very end.
• You love solving difficult problems, stand your ground, and get what you want from engineers.
• Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

• Work with developers to build out CI/CD pipelines, enable self-service build tools and reusable deployment jobs. Find, explore, and advocate for new technologies for enterprise use.
• Automate the provisioning of environments
• Promote new DevOps tools to simplify the build process and entire Continuous Delivery.
• Manage a Continuous Integration and Deployment environment.
• Coordinate and scale the evolving build and cloud deployment systems across all product development teams.
• Work independently, with, and across teams. Establishing smooth running. environments are paramount to your success, and happiness
• Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the[1]box thinking, teamwork, self-organization, and diversity.

Technical Skills

• Experience with AWS multi-region/multi-AZ deployed systems, auto-scaling of EC2 instances, CloudFormation, ELBs, VPCs, CloudWatch, SNS, SQS, S3, Route53, RDS, IAM roles, security groups, cloud watch
• Experience in Data Visualization and Monitoring tools such as Grafana and Kibana
• Experienced in Build and CI/CD/CT technologies like GitHub, Chef, Artifactory, Hudson/Jenkins
• Experience with log collection, filter creation, and analysis, builds, and performance monitoring/tuning of infrastructure.
• Automate the provisioning of environments pulling strings with Puppet, cooking up some recipes with Chef, or through Ansible, and the deployment of those environments using containers, like Docker or Rocket: (have at least some configuration management tool through some version control).

Qualifications:

• B.E/ B.Tech/ M.C.A in Computer Science, Electronics and Communication Engineering, Electronics and Electrical Engineering.
• Minimum 60% in Graduation and Post-Graduation.
• Good verbal and written communication skills

Job Location: Jaipur

Experience Required: Minimum 3 years

About the role:

As a DevOps Engineer for Punchh, you will be working with our developers, SRE, and DevOps teams implementing our next generation infrastructure. We are looking for a self-motivated, responsible, team player who love designing systems that scale. Punchh provides a rich engineering environment where you can be creative, learn new technologies, solve engineering problems, all while delivering business objectives. The DevOps culture here is one with immense trust and responsibility. You will be given the opportunity to make an impact as there are no silos here. 

Responsibilities:

• Deliver SLA and business objectives through whole lifecycle design of services through inception to implementation.
• Ensuring availability, performance, security, and scalability of AWS production systems
• Scale our systems and services through continuous integration, infrastructure as code, and gradual refactoring in an agile environment. 
• Maintain services once a project is live by monitoring and measuring availability, latency, and overall system and application health.
• Write and maintain software that runs the infrastructure that powers the Loyalty and Data platform for some of the world’s largest brands.
• 24x7 in shifts on call for Level 2 and higher escalations
• Respond to incidents and write blameless RCA’s/postmortems
• Implement and practice proper security controls and processes
• Providing recommendations for architecture and process improvements.
• Definition and deployment of systems for metrics, logging, and monitoring on platform.

Must have:  

• Minimum 3 Years of Experience in DevOps.  
• BS degree in Computer Science, Mathematics, Engineering, or equivalent practical experience.
• Strong inter-personal skills.
• Must have experience in CI/CD tooling such as Jenkins, CircleCI, TravisCI
• Must have experience in Docker, Kubernetes, Amazon ECS or  Mesos
• Experience in code development in at least one high-level programming language fromthis list: python, ruby, golang, groovy
• Proficient in shell scripting, and most importantly, know when to stop scripting and start developing.
• Experience in creation of highly automated infrastructures with any Configuration Management tools like: Terraform, Cloudformation or Ansible.  
• In-depth knowledge of the Linux operating system and administration. 
• Production experience with a major cloud provider such Amazon AWS.
• Knowledge of web server technologies such as Nginx or Apache. 
• Knowledge of Redis, Memcache, or one of the many in-memory data stores.
• Experience with various load balancing technologies such as Amazon ALB/ELB, HA Proxy, F5. 
• Comfortable with large-scale, highly-available distributed systems.

Good to have:  

• Understanding of Web Standards (REST, SOAP APIs, OWASP, HTTP, TLS)
• Production experience with Hashicorp products such as Vault or Consul
• Expertise in designing, analyzing troubleshooting large-scale distributed systems.
• Experience in an PCI environment
• Experience with Big Data distributions from Cloudera, MapR, or Hortonworks
• Experience maintaining and scaling database applications
• Knowledge of fundamental systems engineering principles such as CAP Theorem, Concurrency Control, etc. 
• Understanding of the network fundamentals: OSI, TCI/IP, topologies, etc.
• Understanding of Auditing of Infrastructure and help org. to control Infrastructure costs. 
• Experience in Kafka, RabbitMQ or any messaging bus.