
Job Description
Role Overview:
We're looking for a passionate DevOps engineer with a minimum of 10 years’ experience across all levels, who will work closely with the development teams in Agile setup to continuously improve, support, secure, and operate our production and test environments. We believe in automating our infrastructure as much as possible and pursuing challenging problems in a sustainable and repeatable way.
Our Toolchain
- Ansible, Docker, Kubernetes, Terraform, Gitlab, Jenkins, Fastlane, New Relic, Datadog, SonarQube, IaC
- Apache, Nginx, Linux, Ubuntu, Microservices, Python, Shell, Bash, Helm
- Selenium, Jmeter, Slack, Jira, SAST, OSSEC, OWASP
- Node.JS, PHP, Golang, MySQL, MongoDB, Firebase, Redis, Elastic search,
- VPC, API Gateway, Cognito, DocumentDB, ECS, Lambda, Route53, ACM, S3, EC2, IAM
You'll need:
- Production experience with distributed/scalable systems consisting of multiple microservices and/or high-traffic web applications
- Experience with configuration management systems such as Ansible, Chef, Puppet
- Extensive knowledge of the Linux operating system
- Troubleshooting skills that range from diagnosis to solution for Dev team issues
- Knowledge of how the web works and HTTP fundamentals
- Knowledge of IP networking, DNS, load balancing, and firewalling
Bonus points, if you have:
- Experience in agile development and delivery process.
- Good knowledge of at least one programming language. TecStub uses e.g. Nodes, PHP
- Experience in containerizing applications and deployment to production (Docker, Kubernetes)
- Experience in building modern Terraform infrastructures in cloud environments (AWS, GCP, etc...)
- Experience in analysis of application and database performance monitoring tools (Newrelic, datalog, cluster control, etc..)
- Experience with SQL databases like MySQL, NoSQL, Realtime database stores like Redis, or anything in between.
- Experience being part of the engineering team that built the platform.
- Knowledge of good security practices, including network security, system hardening, secure software, and compliance.
- Familiarity with automated build pipeline / continuous integration using Gitlab and Jenkins and Kubernetes/Docker with this setup, we're deploying to production 2 times per day!
Interview Process:
The entire interview process would take approximately 10 Days.
- HR Screening Call (15 minutes)
- Technical Interview Round Level 1 (30 Minutes)
- Technical Interview Round Level 2 (60 minutes)
- Final Interview Round (60 minutes)
- Offer
About Tecstub:
Tecstub is a renowned global provider of comprehensive digital commerce solutions for some of the world's largest enterprises. With offices in North America and Asia-Pacific, our team offers end-to-end solutions such as strategic Solution Consulting, eCommerce website and application development, and support & maintenance services that are tailored to meet our clients' unique business goals. We are dedicated to delivering excellence by working as an extended partner, providing next-generation solutions that are sustainable, scalable, and future-proof. Our passionate and driven team of professionals has over a decade of experience in the industry and is committed to helping our clients stay ahead of the competition.
We value our employees and strive to create a positive work environment that promotes work-life balance and personal growth. As part of our commitment to our team, we offer a range of benefits to ensure our employees are supported and motivated.
- A 5-day work week that promotes work-life balance and allows our employees to take care of personal responsibilities while excelling in their professional roles.
- 30 annual paid leaves that can be utilized for various personal reasons, such as regional holidays, sick leaves, or any other personal needs. We believe that taking time off is essential for overall well-being and productivity.
- Additional special leaves for birthdays, maternity and paternity events to ensure that our employees can prioritize their personal milestones without any added stress.
- Health insurance coverage of 3 lakhs sum insured for our employees, spouse, and children, to provide peace of mind and security for their health needs.
- Vouchers and gifts for important life events such as birthdays and anniversaries, to celebrate our employees' milestones and show appreciation for their contributions to the company.
- A dedicated learning and growth budget for courses and certifications, to support our employees' career aspirations and encourage professional development.
- Company outings to celebrate our successes together and promote a sense of camaraderie among our team members. We believe that celebrating achievements is an important part of building a positive work culture.
Skills
AWS, Terraform, KUBERNETES, GITHUB, APACHE, BASH, DOCKER, ANSIBLE, GIT, Microservices, UBUNTU, GITLAB, CI/CD, APACHE SERVER, NGINX, NODEJS

About Tecstub
About
We are an IT consulting firm founded in 2014, providing digital commerce solutions to global enterprises. Our experts leverage their extensive experience and technical expertise to help businesses navigate the ever-evolving digital landscape. From strategy to implementation to post-development support and maintenance, we are dedicated to delivering results that drive success in the digital marketplace.
A team of over 50+ technology enthusiasts with a shared passion for innovation and excellence. We attribute our success to our unique work culture and commitment to incorporating the latest technology stack to meet.
Join us on our journey of reshaping the digital commerce industry.
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Job Summary
We are looking for a skilled and motivated DevOps Engineer with 3+ years of hands-on experience in AWS cloud infrastructure, CI/CD automation, and Kubernetes-based deployments. The ideal candidate will have strong expertise in Infrastructure as Code, containerization, monitoring, and automation, and will play a key role in ensuring high availability, scalability, and security of production systems.
Key Responsibilities
- Design, deploy, manage, and maintain AWS cloud infrastructure, including EC2, RDS, OpenSearch, VPC, S3, ALB, API Gateway, Lambda, SNS, and SQS.
- Build, manage, and operate Kubernetes (EKS) clusters and containerized workloads.
- Containerize applications using Docker and manage deployments with Helm charts
- Develop and maintain CI/CD pipelines using Jenkins for automated build and deployment processes
- Provision and manage infrastructure using Terraform (Infrastructure as Code)
- Implement and manage monitoring, logging, and alerting solutions using Prometheus and Grafana
- Write and maintain Python scripts for automation, monitoring, and operational tasks
- Ensure high availability, scalability, performance, and cost optimization of cloud resources
- Implement and follow security best practices across AWS and Kubernetes environments
- Troubleshoot production issues, perform root cause analysis, and support incident resolution
- Collaborate closely with development and QA teams to streamline deployment and release processes
Required Skills & Qualifications
- 3+ years of hands-on experience as a DevOps Engineer or Cloud Engineer.
- Strong experience with AWS services, including:
- EC2, RDS, OpenSearch, VPC, S3
- Application Load Balancer (ALB), API Gateway, Lambda
- SNS and SQS.
- Hands-on experience with AWS EKS (Kubernetes)
- Strong knowledge of Docker and Helm charts
- Experience with Terraform for infrastructure provisioning and management
- Solid experience building and managing CI/CD pipelines using Jenkins
- Practical experience with Prometheus and Grafana for monitoring and alerting
- Proficiency in Python scripting for automation and operational tasks
- Good understanding of Linux systems, networking concepts, and cloud security
- Strong problem-solving and troubleshooting skills
Good to Have (Preferred Skills)
- Exposure to GitOps practices
- Experience managing multi-environment setups (Dev, QA, UAT, Production)
- Knowledge of cloud cost optimization techniques
- Understanding of Kubernetes security best practices
- Experience with log aggregation tools (e.g., ELK/OpenSearch stack)
Language Preference
- Fluency in English is mandatory.
- Fluency in Hindi is preferred.
Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
About BootLabs
https://www.google.com/url?q=https://www.bootlabs.in/&sa=D&source=calendar&ust=1667803146567128&usg=AOvVaw1r5g0R_vYM07k6qpoNvvh6" target="_blank">https://www.bootlabs.in/
-We are a Boutique Tech Consulting partner, specializing in Cloud Native Solutions.
-We are obsessed with anything “CLOUD”. Our goal is to seamlessly automate the development lifecycle, and modernize infrastructure and its associated applications.
-With a product mindset, we enable start-ups and enterprises on the cloud
transformation, cloud migration, end-to-end automation and managed cloud services.
-We are eager to research, discover, automate, adapt, empower and deliver quality solutions on time.
-We are passionate about customer success. With the right blend of experience and exuberant youth in our in-house team, we have significantly impacted customers.
Technical Skills:
• Expertise in any one hyper scaler (AWS/AZURE/GCP), including basic services like networking,
data and workload management.
- AWS
Networking: VPC, VPC Peering, Transit Gateway, Route Tables, Security Groups, etc.
Data: RDS, DynamoDB, Elastic Search
Workload: EC2, EKS, Lambda, etc.
- Azure
Data: Azure MySQL, Azure MSSQL, etc.
Workload: AKS, Virtual Machines, Azure Functions
- GCP
Data: Cloud Storage, DataFlow, Cloud SQL, Firestore, BigTable, BigQuery
Workload: GKE, Instances, App Engine, Batch, etc.
• Experience in any one of the CI/CD tools (Gitlab/Github/Jenkins) including runner setup,
templating and configuration.
• Kubernetes experience or Ansible Experience (EKS/AKS/GKE), basics like pod, deployment,
networking, service mesh. Used any package manager like helm.
• Scripting experience (Bash/python), automation in pipelines when required, system service.
• Infrastructure automation (Terraform/pulumi/cloud formation), write modules, setup pipeline and version the code.
Optional:
• Experience in any programming language is not required but is appreciated.
• Good experience in GIT, SVN or any other code management tool is required.
• DevSecops tools like (Qualys/SonarQube/BlackDuck) for security scanning of artifacts, infrastructure and code.
• Observability tools (Opensource: Prometheus, Elasticsearch, Open Telemetry; Paid: Datadog,
24/7, etc)
Job Description:
- Hands on experience with Ansible & Terraform.
- Scripting language, such as Python or Bash or PowerShell is required and willingness to learn and master others.
- Troubleshooting and resolving automation, build, and CI/CD related issues (in cloud environment like AWS or Azure).
- Experience with Kubernetes is mandate.
- To develop and maintain tooling and environments for test and production environments.
- Assist team members in the development and maintenance of tooling for integration testing, performance testing, security testing, as well as source control systems (that includes working in CI systems like Azure DevOps, Team City, and orchestration tools like Octopus).
- Good with Linux environment.
About the Company
Blue Sky Analytics is a Climate Tech startup that combines the power of AI & Satellite data to aid in the creation of a global environmental data stack. Our funders include Beenext and Rainmatter. Over the next 12 months, we aim to expand to 10 environmental data-sets spanning water, land, heat, and more!
We are looking for DevOps Engineer who can help us build the infrastructure required to handle huge datasets on a scale. Primarily, you will work with AWS services like EC2, Lambda, ECS, Containers, etc. As part of our core development crew, you’ll be figuring out how to deploy applications ensuring high availability and fault tolerance along with a monitoring solution that has alerts for multiple microservices and pipelines. Come save the planet with us!
Your Role
- Applications built at scale to go up and down on command.
- Manage a cluster of microservices talking to each other.
- Build pipelines for huge data ingestion, processing, and dissemination.
- Optimize services for low cost and high efficiency.
- Maintain high availability and scalable PSQL database cluster.
- Maintain alert and monitoring system using Prometheus, Grafana, and Elastic Search.
Requirements
- 1-4 years of work experience.
- Strong emphasis on Infrastructure as Code - Cloudformation, Terraform, Ansible.
- CI/CD concepts and implementation using Codepipeline, Github Actions.
- Advanced hold on AWS services like IAM, EC2, ECS, Lambda, S3, etc.
- Advanced Containerization - Docker, Kubernetes, ECS.
- Experience with managed services like database cluster, distributed services on EC2.
- Self-starters and curious folks who don't need to be micromanaged.
- Passionate about Blue Sky Climate Action and working with data at scale.
Benefits
- Work from anywhere: Work by the beach or from the mountains.
- Open source at heart: We are building a community where you can use, contribute and collaborate on.
- Own a slice of the pie: Possibility of becoming an owner by investing in ESOPs.
- Flexible timings: Fit your work around your lifestyle.
- Comprehensive health cover: Health cover for you and your dependents to keep you tension free.
- Work Machine of choice: Buy a device and own it after completing a year at BSA.
- Quarterly Retreats: Yes there's work-but then there's all the non-work+fun aspect aka the retreat!
- Yearly vacations: Take time off to rest and get ready for the next big assignment by availing the paid leaves.
At Neurosensum we are committed to make customer feedback more actionable. We have developed a platform called SurveySensum which breaks the conventional market research turnaround time.
SurveySensum is becoming a great tool to not only capture the feedbacks but also to extract some useful insights with the quick workflow setups and dashboards. We have more than 7 channels through which we can collect the feedbacks. This makes us challenge the conventional software development design principles. The team likes to grind and helps each other to lift in tough situations.
Day to day responsibilities include:
- Work on the deployment of code via Bitbucket, AWS CodeDeploy and manual
- Work on Linux/Unix OS and Multi tech application patching
- Manage, coordinate, and implement software upgrades, patches, and hotfixes on servers.
- Create and modify scripts or applications to perform tasks
- Provide input on ways to improve the stability, security, efficiency, and scalability of the environment
- Easing developers’ life so that they can focus on the business logic rather than deploying and maintaining it.
- Managing release of the sprint.
- Educating team of the best practices.
- Finding ways to avoid human error and save time by automating the processes using Terraform, CloudFormation, Bitbucket pipelines, CodeDeploy, scripting
- Implementing cost effective measure on cloud and minimizing existing costs.
Skills and prerequisites
- OOPS knowledge
- Problem solving nature
- Willing to do the R&D
- Works with the team and support their queries patiently
- Bringing new things on the table - staying updated
- Pushing solution above a problem.
- Willing to learn and experiment
- Techie at heart
- Git basics
- Basic AWS or any cloud platform – creating and managing ec2, lambdas, IAM, S3 etc
- Basic Linux handling
- Docker and orchestration (Great to have)
- Scripting – python (preferably)/bash
- Azure Devops - Working experience in Azure yaml pipelines. (Note – Some say they worked in yaml but it’s for Jenkins and not Azure devops)
- Azure – Infrastructure automation using Terraform/ARM templates. (Note – Some say that they worked in terraform but it’s for AWS and not Azure). Please confirm Terraform for Azure infrastructure automation.
- Powershell scripting to automate and deploy .Net applications.
What we are looking for
Work closely with product & engineering groups to identify and document
infrastructure requirements.
Design infrastructure solutions balancing requirements, operational
constraints and architecture guidelines.
Implement infrastructure including network connectivity, virtual machines
and monitoring.
Implement and follow security guidelines, both policy and technical to
protect our customers.
Resolve incidents as escalated from monitoring solutions and lower tiers.
Identify root cause for issues and develop long term solutions to fix recurring
issues.
Ability to automate recurring tasks to increase velocity and quality.
Partner with the engineering team to build software tolerance for
infrastructure failure or issues.
Research emerging technologies, trends and methodologies and enhance
existing systems and processes.
Qualifications
Master’s/Bachelors degree in Computer Science, Computer Engineering,
Electrical Engineering, or related technical field, and two years of experience
in software/systems or related.
5+ years overall experience.
Work experience must have included:
Proven track record in deploying, configuring and maintaining Ubuntu server
systems on premise and in the cloud.
Minimum of 4 years’ experience designing, implementing and troubleshooting
TCP/IP networks, VPN, Load Balancers & Firewalls.
Minimum 3 years of experience working in public clouds like AWS & Azure.
Hands on experience in any of the configuration management tools like Anisble,
Chef & Puppet.
Strong in performing production operation activities.
Experience with Container & Container Orchestrator tools like Kubernetes, Docker
Swarm is plus.
Good at source code management tools like Bitbucket, GIT.
Configuring and utilizing monitoring and alerting tools.
Scripting to automate infrastructure and operational processes.
Hands on work to secure networks and systems.
Sound problem resolution, judgment, negotiating and decision making skills
Ability to manage and deliver multiple project phases at the same time
Strong analytical and organizational skills
Excellent written and verbal communication skills
Interview focus areas
Networks, systems, monitoring
AWS (EC2, S3, VPC)
Problem solving, scripting, network design, systems administration and
troubleshooting scenarios
Culture fit, agility, bias for action, ownership, communication
Job Description :
- The engineer should be highly motivated, able to work independently, work and guide other engineers within and outside the team.
- The engineer should possess varied software skills in Shell scripting, Linux, Oracle database, WebLogic, GIT, ANT, Hudson, Jenkins, Docker and Maven
- Work is super fun, non-routine, and, challenging, involving the application of advanced skills in area of specialization.
Key responsibilities :
- Design, develop, troubleshoot and debug software programs for Hudson monitoring, installing Cloud Software, Infra and cloud application usage monitoring.
Required Knowledge :
- Source Configuration management, Docker, Puppet, Ansible, Application and Server Monitoring, AWS, Database Administration, Kubernetes, Log monitoring, CI/CD, Design and implement build, deployment, and configuration management, Improve infrastructure development, Scripting language.
- Good written and verbal communication skills
Qualification :
Education and Experience : Bachelors/Masters in Computer Science
Open for 24- 7 shifts


















