Kubernetes
Amazon Web Services (AWS)Job Details:
- Role: Staff Engineer, ArgoCD
- Experience: 5.5-7.5 Years
- Employment Type: Full-time
- Work Mode: Gurugram (Hybrid)
Job Description
REQUIREMENTS:
- Strong hands-on experience with Kubernetes (K8s) administration, deployment, and troubleshooting
- Expertise in GitOps implementation using ArgoCD
- Strong experience with Crossplane for infrastructure provisioning and orchestration
- Hands-on experience with New Relic for monitoring, observability, and performance management
- Experience building and maintaining CI/CD pipelines and deployment automation
- Strong knowledge of Infrastructure as Code (IaC) using Terraform
- Experience working with AWS cloud services and cloud-native architectures
- Hands-on experience with Docker and containerization technologies
- Strong Linux administration and scripting skills
- Experience implementing platform reliability, security, and automation best practices
- Strong understanding of monitoring, logging, and observability frameworks
RESPONSIBILITIES:
- Manage, maintain, and optimize Kubernetes-based infrastructure and application deployments
- Implement and support GitOps workflows using ArgoCD
- Design and manage infrastructure provisioning using Crossplane
- Monitor platform performance, reliability, and user experience using New Relic
- Build, enhance, and maintain CI/CD pipelines for automated software delivery
- Collaborate with development and platform engineering teams to deliver scalable cloud-native solutions
- Implement Infrastructure as Code practices using Terraform and automation tools
- Ensure platform stability, security, scalability, and operational excellence
- Troubleshoot infrastructure, deployment, and performance-related issues
- Drive continuous improvement initiatives across DevOps processes, tooling, and automation practices
- Support cloud infrastructure management and containerized application environments on AWS
- Promote DevOps best practices, governance, and operational standards across teams
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related fields
Shubham Vishwakarma
Full Stack Developer - Averlon
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Kubernetes
DockerThe Role
As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.
What Success Looks Like
- Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
- CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
- Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
- Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
- AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
- Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.
Areas of Ownership
- Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
- Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
- Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
- Deploy and manage applications using Helm charts; own packaging standards and release automation.
- Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
- Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
- Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
- Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.
Required Experience
- 5–8 years of DevOps, infrastructure, or platform engineering experience.
- Python proficiency for scripting, automation, and infrastructure tooling.
- Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
- Hands-on Helm experience for application packaging and release management.
- Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
- Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
- Terraform proficiency for infrastructure-as-code provisioning and state management.
- Strong Linux administration and containerization fundamentals (Docker, OCI).
What Makes You Stand Out
- CKA (Certified Kubernetes Administrator) certification.
- Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
- Experience with microservices architecture and distributed systems design.
- Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
- Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
- Track record of meaningfully improving developer productivity through platform and tooling investments.
What Makes This Role Different
Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.
DockerKubernetesAmazon Web Services (AWS)Looking out for GCP Devop's Engineer who can join Immediately or within 15 days
Job Summary & Responsibilities:
Job Overview:
You will work in engineering and development teams to integrate and develop cloud solutions and virtualized deployment of software as a service product. This will require understanding the software system architecture function as well as performance and security requirements. The DevOps Engineer is also expected to have expertise in available cloud solutions and services, administration of virtual machine clusters, performance tuning and configuration of cloud computing resources, the configuration of security, scripting and automation of monitoring functions. This position requires the deployment and management of multiple virtual clusters and working with compliance organizations to support security audits. The design and selection of cloud computing solutions that are reliable, robust, extensible, and easy to migrate are also important.
Experience:
Experience working on billing and budgets for a GCP project - MUST
Experience working on optimizations on GCP based on vendor recommendations - NICE TO HAVE
Experience in implementing the recommendations on GCP
Architect Certifications on GCP - MUST
Excellent communication skills (both verbal & written) - MUST
Excellent documentation skills on processes and steps and instructions- MUST
At least 2 years of experience on GCP.
Basic Qualifications:
● Bachelor’s/Master’s Degree in Engineering OR Equivalent.
● Extensive scripting or programming experience (Shell Script, Python).
● Extensive experience working with CI/CD (e.g. Jenkins).
● Extensive experience working with GCP, Azure, or Cloud Foundry.
● Experience working with databases (PostgreSQL, elastic search).
● Must have 2 years of minimum experience with GCP certification.
Benefits :
● Competitive salary.
● Work from anywhere.
● Learning and gaining experience rapidly.
● Reimbursement for basic working set up at home.
● Insurance (including top-up insurance for COVID).
Location :
Remote - work from anywhere.
KubernetesDocker
PostgreSQLAbout Hive
Hive is the leading provider of cloud-based AI solutions for content understanding,
trusted by the world’s largest, fastest growing, and most innovative organizations. The
company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
About Role
Our unique machine learning needs led us to open our own data centers, with an
emphasis on distributed high performance computing integrating GPUs. Even with these data centers, we maintain a hybrid infrastructure with public clouds when the right fit. As we continue to commercialize our machine learning models, we also need to grow our DevOps and Site Reliability team to maintain the reliability of our enterprise SaaS offering for our customers. Our ideal candidate is someone who is
able to thrive in an unstructured environment and takes automation seriously. You believe there is no task that can’t be automated and no server scale too large. You take pride in optimizing performance at scale in every part of the stack and never manually performing the same task twice.
Responsibilities
● Create tools and processes for deploying and managing hardware for Private Cloud Infrastructure.
● Improve workflows of developer, data, and machine learning teams
● Manage integration and deployment tooling
● Create and maintain monitoring and alerting tools and dashboards for various services, and audit infrastructure
● Manage a diverse array of technology platforms, following best practices and
procedures
● Participate in on-call rotation and root cause analysis
Requirements
● Minimum 5 - 10 years of previous experience working directly with Software
Engineering teams as a developer, DevOps Engineer, or Site Reliability
Engineer.
● Experience with infrastructure as a service, distributed systems, and software design at a high-level.
● Comfortable working on Linux infrastructures (Debian) via the CLIAble to learn quickly in a fast-paced environment.
● Able to debug, optimize, and automate routine tasks
● Able to multitask, prioritize, and manage time efficiently independently
● Can communicate effectively across teams and management levels
● Degree in computer science, or similar, is an added plus!
Technology Stack
● Operating Systems - Linux/Debian Family/Ubuntu
● Configuration Management - Chef
● Containerization - Docker
● Container Orchestrators - Mesosphere/Kubernetes
● Scripting Languages - Python/Ruby/Node/Bash
● CI/CD Tools - Jenkins
● Network hardware - Arista/Cisco/Fortinet
● Hardware - HP/SuperMicro
● Storage - Ceph, S3
● Database - Scylla, Postgres, Pivotal GreenPlum
● Message Brokers: RabbitMQ
● Logging/Search - ELK Stack
● AWS: VPC/EC2/IAM/S3
● Networking: TCP / IP, ICMP, SSH, DNS, HTTP, SSL / TLS, Storage systems,
RAID, distributed file systems, NFS / iSCSI / CIFS
Who we are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the
development of the company.
Thank you for your interest in Hive and we hope to meet you soon
DockerKubernetesAmazon Web Services (AWS)We are hiring for https://www.linkedin.com/feed/hashtag/?keywords=devops&;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#Devops Engineer for a reputed https://www.linkedin.com/feed/hashtag/?keywords=mnc&;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#MNC
Job Description:
Total exp- 6+Years
Must have:
Minimum 3-4 years hands-on experience in https://www.linkedin.com/feed/hashtag/?keywords=kubernetes&;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#Kubernetes and https://www.linkedin.com/feed/hashtag/?keywords=docker&;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#Docker
Proficiency in https://www.linkedin.com/feed/hashtag/?keywords=aws&;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#AWS Cloud
Good to have Kubernetes admin certification
Job Responsibilities:
Responsible for managing Kubernetes cluster
Deploying infrastructure for the project
Build https://www.linkedin.com/feed/hashtag/?keywords=cicd&;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#CICD pipeline
Looking for https://www.linkedin.com/feed/hashtag/?keywords=immediate&;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#Immediate Joiners only
Location: Pune
Salary: As per market standards
Mode: https://www.linkedin.com/feed/hashtag/?keywords=work&;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7003255016740294656" target="_blank">#Work from office
KubernetesDocker
Java
NodeJS (Node.js)- Bachelor’s and/or master’s degree in Computer Science, Computer Engineering or related technical discipline
- About 5 years of professional experience supporting AWS cloud environments
- Certified Amazon Architect Associate or Architect
- Experience serving as lead (shift management, reporting) will be a plus
- AWS Architect Certified Solution Architect Professional (Must have)
- Minimum 4yrs experience, maximum 8 years’ experience.
- 100% work from office in Hyderabad
- Very fluent in English
JenkinsAmazon Web Services (AWS)BlueOptima’s vision is to become the global reference for the optimisation of the performance of Software Engineers across all industries. We provide industry-leading objective metrics in software development. We enable large organisations to deliver better software, faster and at lower cost, with technology that pushes the limits of what has been done before.
We are a global company which has consistently doubled in headcount and revenue YoY, with no external investment. We currently are located in 4 countries: London (our HQ), Mexico, India and the US. A total number of 250+ employees (and increasing every day) from 34 different nationalities and with over 25 languages spoken.
We promote an open-minded environment and encourage our employees to create their own success story in this high-performance environment.
Location: Bangalore
Department: DevOps
Job Summary:
We are looking for skilled and talented engineers to join our Platform team and directly contribute to Continuous Delivery, and improve the state of art in CI/CD and Observability within BlueOptima.
As a Senior DevOps Engineer, you will define and outline CI/CD related aspects and collaborate with application teams on imparting training and enforcing best practices to follow for CI/CD and also directly implement, maintain, and consult on the observability and monitoring framework that supports the needs of multiple internal stakeholders.
Your team: The Platform team in BlueOptima works across Product lines and is responsible for providing a scalable technology platform which is used by the Product team to build their application, improve performance of it, or even improve the SDLC by improving the application delivery pipeline, etc.
Platform team is also responsible for driving technology adoption across the product development team. The team works on components that are common across product lines like IAM (Identity & Access Management), Auto Scaling, APM (Application Performance Monitoring) and CI/CD, etc
Responsibilities and tasks:
- Define & Outline of CI/CD and related aspects
- Own & Improve state of build process to reduce manual intervention
- Own & Improve state of deployment to make it 100% automated
- Define guidelines and standards of automated testing required for a good CI/CD pipeline, ensures alignment on an ongoing basis (includes artifacts generation, promotions, etc)
- Automating Deployment and Roll back into Production Environment.
- Collaborate with engineering teams, application developers, management and infrastructure teams to assess near- and long-term monitoring needs and provide them with Tooling to improve observability of application in production.
- Keep an eye on the emerging observability tools, trends and methodologies, and continuously enhance our existing systems and processes.
- Ability to choose the right set of tools for a given problem and apply that to all the applications which are available
- Collaborate with the application team for following
- Define and enforce logging standard
- Define metrics applications should track and provide support to application teams visualise same on Grafana (or similar tools)
- Define alerts for application health monitoring in Production
- Tooling like APM, E2E, etc
- Continuously improve the state of the art on above
- Assist in scheduling and hosting regular tool training sessions to better enable tool adoption and best practices, also making sure training materials are maintained.
Qualifications
What You Need to Succeed at BlueOptima:
- Minimum bachelor's degree in Computer Science or equivalent
- Demonstrable years of experience with implementation, operations, maintenance of IT systems and/or administration of software functions in multi-platform and multi-system environments.
- At least 1 year of experience leading or mentoring a small team.
- Demonstrable experience having developed containerized application components, using docker or similar solutions in previous roles
- Have extensive experience with metrics and logging libraries and aggregators, data analysis and visualization tools.
- Experience in defining, creating, and supporting monitoring dashboards
- 2+ Years of Experience with CI tools and building pipelines using Jenkins.
- 2 + Years of Experience with monitoring and observability tools and methodology of products such as; Grafana, Prometheus, ElasticSearch, Splunk, AppDynamics, Dynatrace, Nagios, Graphite ,Datadog etc.
- Ability to write and read simple scripts using Python / Shell Scripts.
- Familiarity with configuration languages such as Ansible.
- Ability to work autonomously with minimum supervision
- Demonstrate strong oral and written communication skill
Additional information
Why join our team?
Culture and Growth:
- Global team with a creative, innovative and welcoming mindset.
- Rapid career growth and opportunity to be an outstanding and visible contributor to the company's success.
- Freedom to create your own success story in a high-performance environment.
- Training programs and Personal Development Plans for each employee
Benefits:
- 32 days of holidays - this includes public and religious holidays
- Contributions to your Provident Fund which can be matched by the company above the statutory minimum as agreed
- Private Medical Insurance provided by the company
- Gratuity payments
- Claim Mobile/Internet expenses and Professional Development costs
- Leave Travel Allowance
- Flexible Work from Home policy - 2 days home p/w
- International travel opportunities
- Global annual meet up (most recent meetups have been held in Cancun and India Thailand, Oct 2022.
- High quality equipment (Ergonomic chairs and 32’ screens)
- Pet friendly offices
- Creche Policy for working parents.
- Paternity and Maternity leave.
Stay connected with us on https://www.linkedin.com/company/blueoptima">LinkedIn or keep an eye on our https://www.blueoptima.com/careers">career page for future opportunities!
Amazon Web Services (AWS)
PythonJenkinsExperience of Linux
Experience using Python or Shell scripting (for Automation)
Hands-on experience with Implementation of CI/CD Processes
Experience working with one cloud platforms (AWS or Azure or Google)
Experience working with configuration management tools such as Ansible & Chef
Experience working with Containerization tool Docker.
Experience working with Container Orchestration tool Kubernetes.
Experience in source Control Management including SVN and/or Bitbucket
& GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools
Hands-on experience in Linux, Scripting Language & AWS is mandatory
Troubleshoot and Triage development, Production issues
Kubernetes
JavascriptDockerRole – Devops
Experience 3 – 6 Years
Roles & Responsibilities –
- 3-6 years of experience in deploying and managing highly scalable fault resilient systems
- Strong experience in container orchestration and server automation tools such as Kubernetes, Google Container Engine, Docker Swarm, Ansible, Terraform
- Strong experience with Linux-based infrastructures, Linux/Unix administration, AWS, Google Cloud, Azure
- Strong experience with databases such as MySQL, Hadoop, Elasticsearch, Redis, Cassandra, and MongoDB.
- Knowledge of scripting languages such as Java, JavaScript, Python, PHP, Groovy, Bash.
- Experience in configuring CI/CD pipelines using Jenkins, GitLab CI, Travis.
- Proficient in technologies such as Docker, Kafka, Raft and Vagrant
- Experience in implementing queueing services such as RabbitMQ, Beanstalkd, Amazon SQS and knowledge in ElasticStack is a plus.
Amazon Web Services (AWS)Python
MongoDB
KubernetesAmazon Web Services (AWS)DockerPython2. Has done Infrastructure coding using Cloudformation/Terraform and Configuration also understands it very clearly
3. Deep understanding of the microservice design and aware of centralized Caching(Redis),centralized configuration(Consul/Zookeeper)
4. Hands-on experience of working on containers and its orchestration using Kubernetes
5. Hands-on experience of Linux and Windows Operating System
6. Worked on NoSQL Databases like Cassandra, Aerospike, Mongo or
Couchbase, Central Logging, monitoring and Caching using stacks like ELK(Elastic) on the cloud, Prometheus, etc.
7. Has good knowledge of Network Security, Security Architecture and Secured SDLC practices
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon