NodeJS (Node.js)
Amazon Web Services (AWS)
Python
Java
DockerWe're hiring a Tech Lead to own the backend architecture and engineering culture of a fast-growing HR-Tech platform used by 100+ enterprise clients across India.
This isn't a "manage the team and attend standups" role. You'll be hands-on with architecture decisions, own the deployment environment, and work directly with founders who came from Gallup and IIM Ahmedabad.
The stack is Node.js, Docker, Kafka, and cloud (AWS / Azure / GCP).
The role is right for you if:
- You've led backend teams and still enjoy being close to the code
- You've built or significantly improved a CI/CD pipeline in production
- You can explain a technical trade-off to a business stakeholder without making them feel talked down to
- You want ownership, not just a title.
What you'll be doing:
- Designing and maintaining backend systems built for scale, security, and reliability
- Leading and mentoring a team of backend engineers through sprint cycles and beyond
- Owning cloud infrastructure (AWS / Azure / GCP) and keeping deployments stable and fast
- Improving CI/CD practices and automating what shouldn't require human intervention
- Translating product requirements into technical specs the team can actually execute
- Conducting code reviews that raise quality without slowing people down
- Working directly with founders and business stakeholders — not through layers of management
What we're looking for:
- 5–8 years of software engineering experience, with at least 2 years in a lead or senior role
- Strong backend development skills in Node.js (Python or Java is a bonus)
- Hands-on cloud experience — building and managing infrastructure, not just deploying to it
- Comfort with Docker, Kafka, and Linux environments
- Experience running Agile teams — sprint planning, retrospectives, the works
- Clear communication and the ability to make decisions under ambiguity
- B.Tech / B.E. in Computer Science or Information Technology
Location: Mumbai (on-site) Experience: 5–8 years Start: Immediate
If this sounds like the role you've been looking for, apply below or send a message directly. The process is fast and so is the decision.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Docker
KubernetesAmazon Web Services (AWS)Job Title: Lead DevOps Engineer
Experience Required: 8+ years in DevOps or related fields
Employment Type: Full-time
About the Role:
We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.
Key Responsibilities:
Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).
CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.
Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.
Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.
Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.
Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.
Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.
Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.
Required Skills & Qualifications:
Technical Expertise:
Strong proficiency in cloud platforms like AWS, Azure, or GCP.
Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).
Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.
Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.
Proficiency in scripting languages (e.g., Python, Bash, PowerShell).
Soft Skills:
Excellent communication and leadership skills.
Strong analytical and problem-solving abilities.
Proven ability to manage and lead a team effectively.
Experience:
8+ years of experience in DevOps or Site Reliability Engineering (SRE).
3+ years in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.
Strong understanding of microservices, APIs, and serverless architectures.
Nice to Have:
Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.
Experience with GitOps tools such as ArgoCD or Flux.
Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).
Perks & Benefits:
Competitive salary and performance bonuses.
Comprehensive health insurance for you and your family.
Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.
Flexible working hours and remote work options.
Collaborative and inclusive work culture.
Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.
KubernetesDockerThe 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.
JenkinsAbout the compnay:
Our Client is a B2B2C tech Web3 startup founded by founders - IITB Graduates who are experienced in retail, ecommerce and fintech.
Vision: Our 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.
Role Description
We are looking for a DevOps Engineer responsible for managing cloud technologies, deployment
automation and CI /CD
Key Responsibilities
Building and setting up new development tools and infrastructure
Understanding the needs of stakeholders and conveying this to developers
Working on ways to automate and improve development and release processes
Testing and examining code written by others and analyzing results
Ensuring that systems are safe and secure against cybersecurity threats
Identifying technical problems and developing software updates and ‘fixes’
Working with software developers and software engineers to ensure that development
follows established processes and works as intended
Planning out projects and being involved in project management decisions
Required Skills and Qualifications
BE / MCA / B.Sc-IT / B.Tech in Computer Science or a related field.
4+ years of overall development experience.
Strong understanding of cloud deployment and setup.
Hands-on experience with tools like Jenkins, Gradle etc.
Deploy updates and fixes.
Provide Level 2 technical support.
Build tools to reduce occurrences of errors and improve customer experience.
Perform root cause analysis for production errors.
Investigate and resolve technical issues.
Develop scripts to automate deployment.
Design procedures for system troubleshooting and maintenance.
Proficient with git and git workflows.
Working knowledge of databases and SQL.
Problem-solving attitude.
Collaborative team spirit
Regards
Team Merito
DockerKubernetesAmazon Web Services (AWS)- Equal Experts is an innovative software delivery consultancy specializing in the delivery of custom software solutions for blue-chip enterprise and public sector clients across a range of industry sectors.
- We deliver market-leading propositions across the digital, online and mobile channels, and are recognized for our leadership in the application of Agile and Lean delivery methods to assure delivery.
- We are focused on hiring DevOps Engineers with skills in AWS, Automation tools, CI/CD tools and the likes.
- The DevOps Consultant will be working with an on-site client team and will be expected to mentor and share their skills and knowledge with the existing client developers.
Your Responsibilities Include:
- Continuous Delivery of quality software created by our project teams. Ensuring smooth build and release with continuous integration.
- Configuration Management - Design and implementation of deployment strategies for multiple projects.
- Virtualization and Infrastructure Provisioning.
- Maintenance and upgrade of our cloud environment (AWS).
- Version control and source code administration.
- Administration of Web Servers, Application Servers and Servlet Containers
- Setting up and managing the Automation efforts for multiple projects.
Technical Expertise:
- Should have worked on Agile projects featuring weekly iterations and releases.
- Should have extensive hands-on experience with:
- Continuous Integration tools like Jenkins.
- Configuration Management tools like Terraform or Ansible.
- Cloud computing using AWS, EC2.
- Hands-on experience on Kubernetes.
- Virtualization tools like Vagrant, Docker or VMWare
- You have an active presence in the DevOps community through your blogs, Stack Overflow and GitHub profiles.
- You are passionate about DevOps. You love to mentor people and evangelize about best practices and innovations in DevOps.
JenkinsDockerKubernetes
GitMLOps Engineer
Required Candidate profile :
- 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
- Candidate with strong Azure expertise
- Exposure of Productionize the models
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
- Proficient knowledge of git, Docker and containers, Kubernetes
- Familiarity with Terraform
- E2E production experience with Azure ML, Azure ML Pipelines
- Experience in Azure ML extension for Azure Devops
- Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
- Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
- Candidate with strong Azure expertise
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
JenkinsDockerKubernetesAmazon Web Services (AWS)- As a DevOps Engineer, you need to have strong experience in CI/CD pipelines.
- Setup development, testing, automation tools, and IT infrastructure
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Selecting and deploying appropriate CI/CD tools
- Deploy and maintain CI/CD pipelines across multiple environments (Mobile, Web API’s & AIML)
Required skills & experience:
- 3+ years of experience as DevOps Engineer and strong working knowledge in CI/CD pipelines
- Experience administering and deploying development CI/CD using Git, BitBucket, CodeCommit, Jira, Jenkins, Maven, Gradle, etc
- Strong knowledge in Linux-based infrastructures and AWS/Azure/GCP environment
- Working knowledge on AWS (IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, etc)
- Experience with Docker containerization and clustering (Kubernetes/ECS)
- Experience on Android source(AOSP) clone, build, and automation ecosystems
- Knowledge of scripting languages such as Python, Shell, Groovy, Bash, etc
- Familiar with Android ROM development and build process
- Knowledge of Agile Software Development methodologies
DockerPythonResponsibilities
- Building and maintenance of resilient and scalable production infrastructure
- Improvement of monitoring systems
- Creation and support of development automation processes (CI / CD)
- Participation in infrastructure development
- Detection of problems in architecture and proposing of solutions for solving them
- Creation of tasks for system improvements for system scalability, performance and monitoring
- Analysis of product requirements in the aspect of devops
- Managing a team of DevOps, control of task deliveries
- Incident analysis and fixing
Technology stack
Linux, Bash, Salt/Ansible, LXC, libvirt, IPsec, VXLAN, Open vSwitch, OpenVPN, OSPF, BIRD, Cisco NX-OS, Multicast, PIM, LVM, software RAID, LUKS, PostgreSQL, nginx, haproxy, Prometheus, Grafana, Zabbix, GitLab, Capistrano
Skills and Experience
- Understanding of the distributed systems principles
- Understanding of principles for building a resistant network infrastructure
- Experience of Ubuntu Linux administration (Debian-like will be a plus)
- Strong knowledge of Bash
- Experience of working with LXC-containers
- Understanding and experience with infrastructure as a code approach
- Experience of development idempotent Ansible roles
- Experience with relational databases (PostgeSQL), ability to create simple SQL queries
- Experience with git
- Experience with monitoring and metric collect systems (Prometheus, Grafana, Zabbix)
- Understanding of dynamic routing (OSPF)
Preferred experience
- Experience of working with highload zero-downtown environments
- Experience of coding on Python
- Experience of working with IPsec, VXLAN, Open vSwitch
- Knowledge and experience of working with network equipment Cisco
- Experience of working with Cisco NX-OS
- Knowledge of principles of multicast protocols IGMP, PIM
- Experience of setting multicast on Cisco equipment
- Experience of working with Solarflare Onload
- Experience administering Atlassian products
Amazon Web Services (AWS)What will you do?
- Setup, manage Applications with automation, DevOps, and CI/CD tools.
- Deploy, Maintain and Monitor Infrastructure and Services.
- Automate code and Infra Deployments.
- Tune, optimize and keep systems up to date.
- Design and implement deployment strategies.
- Setup infrastructure in cloud platforms like AWS, Azure, Google Cloud, IBM cloud, Digital Ocean etc as per requirement.
Amazon Web Services (AWS)We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company. You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.
Responsibilities
- Deployment, automation, management, and maintenance of production systems.
- Ensuring availability, performance, security, and scalability of production systems.
- Evaluation of new technology alternatives and vendor products.
- System troubleshooting and problem resolution across various application domains and platforms.
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on the AWS
platform.
- Manage the establishment and configuration of SaaS infrastructure in an agile way
by storing infrastructure as code and employing automated configuration management tools with a goal to be able to re-provision environments at any point in time.
- Be accountable for proper backup and disaster recovery procedures.
- Drive operational cost reductions through service optimizations and demand-based
auto-scaling.
- Have on-call responsibilities.
- Perform root cause analysis for production errors
- Uses open source technologies and tools to accomplish specific use cases encountered
within the project.
- Uses coding languages or scripting methodologies to solve a problem with a custom workflow.
Requirements
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
- Prior experience as a software developer in a couple of high-level programming
languages.
- Extensive experience in any Javascript-based framework since we will be deploying services to NodeJS on AWS Lambda (Serverless)
- Strong Linux system administration background.
- Ability to present and communicate the architecture in a visual form.
- Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT
gateway, DynamoDB)
- Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~
1 Lakh users a day)
- A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
- Expertise with Git
- Experience implementing CI/CD (e.g. Jenkins, TravisCI)
- Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or
Mongo.
- Stellar troubleshooting skills with the ability to spot issues before they become problems.
- Current with industry trends, IT ops and industry best practices, and able to identify the
ones we should implement.
- Time and project management skills, with the capability to prioritize and multitask as
needed.
MongoDBDockerAmazon Web Services (AWS)● Responsible for development, and implementation of Cloud solutions.
● Responsible for achieving automation & orchestration of tools(Puppet/Chef)
● Monitoring the product's security & health(Datadog/Newrelic)
● Managing and Maintaining databases(Mongo & Postgres)
● Automating Infrastructure using AWS services like CloudFormation
● Provide evidences in Infrastructure Security Audits
● Migrating to Container technologies (Docker/Kubernetes)
● Should have knowledge on serverless concepts (AWS Lambda)
● Should be able to work with AWS services like EC2, S3, Cloud-formation, EKS, IAM, RDS, ..etc
What you bring:
● Problem-solving skills that enable you to identify the best solutions.
● Team collaboration and flexibility at work.
● Strong verbal and written communication skills that will help in presenting complex ideas
in an accessible and engaging way.
● Ability to choose the best tools and technologies which best fits the business needs.
Aviso offers:
● Dynamic, diverse, inclusive startup environment driven by transparency and velocity
● Bright, open, sunny working environment and collaborative office space
● Convenient office locations in Redwood City, Hyderabad and Bangalore tech hubs
● Competitive salaries and company equity, and a focus on developing world class talent operations
● Comprehensive health insurance available (medical) for you and your family
● Unlimited leaves with manager approval and a 3 month paid sabbatical after 3 years of service
● CEO moonshots projects with cash awards every quarter
● Upskilling and learning support including via paid conferences, online courses, and certifications
● Every month Rupees 2,500 will be credited to Sudexo meal card
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon