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Sr.DevOps Engineer
B2B2C tech Web3 startup
Sr.DevOps Engineer

Sr.DevOps Engineer at B2B2C tech Web3 startup · Bengaluru (Bangalore) · 4 - 10 years · ₹15L - ₹35L / yr · Posted 23 Nov 2022

Merito's logo

Sr.DevOps Engineer

at B2B2C tech Web3 startup

Agency job
via Merito
4 - 10 yrs
₹15L - ₹35L / yr
Bengaluru (Bangalore)
Skills
Google Cloud Platform (GCP)
IT infrastructure
Hi
 
 

Our Client is a B2B2C tech Web3 startup founded by founders - IITB Graduates who are experienced in retail, ecommerce and fintech.
 
 

Vision: Client aims to change the way that customers, creators, and retail investors interact and transact at brands of all shapes and sizes. Essentially, becoming the Web3 version of brands driven social ecommerce & investment platform. We have two broader development phases to achieve our mission.
 
 
We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The
candidate will be responsible for automating the deployment of cloud infrastructure and services to
support application development and hosting (architecting, engineering, deploying, and operationally
managing the underlying logical and physical cloud computing infrastructure).

Location: Bangalore

Reporting Manager: VP, Engineering

Job Description:
● Collaborate with teams to build and deliver solutions implementing serverless,
microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
● Responsible for deploying highly complex, distributed transaction processing systems.
● Work on continuous improvement of the products through innovation and learning. Someone with
a knack for benchmarking and optimization
● Hiring, developing, and cultivating a high and reliable cloud support team
● Building and operating complex CI/CD pipelines at scale
● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud
Storage, Networking in general
● Collaborate with Product Management and Product Engineering teams to drive excellence in
Google Cloud products and features.
● Ensures efficient data storage and processing functions in accordance with company security
policies and best practices in cloud security.
● Ensuring scaled database setup/montioring with near zero downtime

Key Skills:
● Hands-on software development experience in Python, NodeJS, or Java
● 5+ years of Linux/Unix Administration monitoring, reliability, and security of Linux-based, online,
high-traffic services and Web/eCommerce properties
● 5+ years of production experience in large-scale cloud-based Infrastructure (GCP preferred)
● Strong experience with Log Analysis and Monitoring tools such as CloudWatch, Splunk,
Dynatrace, Nagios, etc.
● Hands-on experience with AWS Cloud – EC2, S3 Buckets, RDS
● Hands-on experience with Infrastructure as a Code (e.g., cloud formation, ARM, Terraform,
Ansible, Chef, Puppet) and Version control tools
● Hands-on experience with configuration management (Chef/Ansible)
● Experience in designing High Availability infrastructure and planning for Disaster Recovery
solutions
● Knowledgeable in networking and security Familiar with GCP services (in Databases, Containers,
Compute, stores, etc) with comfort in GCP serverless technologies
● Exposure to Linkerd, Helm charts, and Ambassador is mandatory
● Experience with Big Data on GCP BigQuery, Pub/Sub, Dataproc, and Dataflow is plus
● Experience with Groovy and writing Jenkinsfile
● Experience with time-series and document databases (e.g. Elasticsearch, InfluxDB, Prometheus)
● Experience with message buses (e.g. Apache Kafka, NATS)

Regards
Team Merito
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MNC
Bengaluru (Bangalore)
4 - 7 yrs
₹2L - ₹12L / yr
skill iconAmazon Web Services (AWS)
DevOps
skill iconKubernetes
openshift

AWS / Kubernetes / OpenShift / Linux – Job Description

Role: Cloud / DevOps Engineer

Experience: 4–8 Years

Location: Bangalore

Mandatory Skills: AWS, Kubernetes, OpenShift, Linux

Job Summary

Looking for a Cloud/DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, container platforms, deployments, monitoring, and troubleshooting.

Key Responsibilities

  • Manage and support AWS cloud infrastructure and services.
  • Deploy and manage applications using Kubernetes and OpenShift.
  • Perform Linux administration, troubleshooting, and issue resolution.
  • Monitor application and infrastructure health and resolve production issues.
  • Work on containerized applications and deployments.
  • Support scaling, configuration, upgrades, and maintenance of Kubernetes/OpenShift environments.
  • Troubleshoot cloud, container, and Linux-related issues.
  • Collaborate with development and operations teams for deployments and releases.
  • Follow security, availability, and operational best practices.

Mandatory Skills

  • Strong hands-on experience in AWS
  • Good experience with Kubernetes
  • Hands-on experience in OpenShift
  • Strong Linux administration and troubleshooting skills
  • Experience in cloud/container environment support
  • Good production troubleshooting and incident management skills


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100 network
100 network
Agency job
via TalentXO by tabbasum shaikh
Bengaluru (Bangalore)
14 - 15 yrs
₹70L - ₹90L / yr
Engineering Leadership
GenAI / LLMs
AI Agents
Platform Architecture
Document Intelligence
+3 more

About the role

You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.

Reports to: CEO · Location: Bengaluru, India — hybrid, 3 days a week in office

What you will do

Technology & product leadership

  • Define and drive the technology vision, architecture and long-term platform roadmap.
  • Oversee the architecture, design and delivery of highly scalable enterprise systems.
  • Ensure engineering excellence, velocity and reliability across the product lifecycle.

Engineering & platform management

  • Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.
  • Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.
  • Oversee operational effectiveness, including uptime, production reliability and cost optimisation.

Innovation & AI strategy

  • Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.
  • Own the GenAI/LLM solutions architecture.
  • Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.
  • Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.
  • Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.

Technical leadership

  • A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
  • Collaborate with executive leadership on business strategy, client requirements and product delivery.
  • Build, mentor and scale high-performing engineering teams with a growth mindset.
  • Establish a strong technology culture grounded in ownership, innovation and continuous learning.

What success looks like

  • Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
  • Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
  • Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.

Qualifications & experience

  • Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
  • A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
  • Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
  • Proven leadership in defining and executing technology strategy and platform roadmaps.
  • Extensive cloud-native engineering experience with Azure, AWS and GCP.

Technical expertise

  • Strong full-stack engineering background (Java, Python, JavaScript frameworks).
  • Expertise with JS frameworks such as React, Angular and Node.js.
  • Experience building and scaling distributed systems and microservices.
  • Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
  • Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).

Behavioural & leadership competencies

  • Product and delivery management expertise, end to end, including delivery and customer support.
  • Excellent communication, with the ability to influence executive stakeholders.
  • High technical proficiency combined with strong business acumen.
  • Strong analytical and decision-making skills.


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