Lead Devops Engineer

Job Title: Senior DevOps Engineer

Location: Gurgaon – Sector 39

Work Mode: 5 Days Onsite

Experience: 5+ Years

About the Role

We are looking for an experienced Senior DevOps Engineer to build, manage, and maintain highly reliable, scalable, and secure infrastructure. The role involves deploying product updates, handling production issues, implementing customer integrations, and leading DevOps best practices across teams.

Key Responsibilities

• Manage and maintain production-grade infrastructure ensuring high availability and performance.
• Deploy application updates, patches, and bug fixes across environments.
• Handle Level-2 support and resolve escalated production issues.
• Perform root cause analysis and implement preventive solutions.
• Build automation tools and scripts to improve system reliability and efficiency.
• Develop monitoring, logging, alerting, and reporting systems.
• Ensure secure deployments following data encryption and cybersecurity best practices.
• Collaborate with development, product, and QA teams for smooth releases.
• Lead and mentor a small DevOps team (3–4 engineers).

Core Focus Areas

Server Setup & Management (60%)

• Hands-on management of bare-metal servers.
• Server provisioning, configuration, and lifecycle management.
• Network configuration including redundancy, bonding, and performance tuning.

Queue Systems – Kafka / RabbitMQ (15%)

• Implementation and management of message queues for distributed systems.

Storage Systems – SAN / NAS (15%)

• Setup and management of enterprise storage systems.
• Ensure backup, recovery, and data availability.

Database Knowledge (5%)

• Working experience with Redis, MySQL/PostgreSQL, MongoDB, Elasticsearch.
• Basic database administration and performance tuning.

Telecom Exposure (Good to Have – 5%)

• Experience with SMS, voice systems, or real-time data processing environments.

Technical Skills Required

• Linux administration & Shell scripting
• CI/CD tools – Jenkins
• Git (GitHub / SVN) and branching strategies
• Docker & Kubernetes
• AWS cloud services
• Ansible for configuration management
• Databases: MySQL, MariaDB, MongoDB
• Web servers: Apache, Tomcat
• Load balancing & HA: HAProxy, Keepalived
• Monitoring tools: Nagios and related observability stacks

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.

Job Responsibilities:

Section 1 -

- Responsible for managing and providing L1 support to Build, design, deploy and maintain the implementation of Cloud solutions on AWS.
- Implement, deploy and maintain development, staging & production environments on AWS.
- Familiar with serverless architecture and services on AWS like Lambda, Fargate, EBS, Glue, etc.
- Understanding of Infra as a code and familiar with related tools like Terraform, Ansible Cloudformation etc.

Section 2 -

- Managing the Windows and Linux machines, Kubernetes, Git, etc.
- Responsible for L1 management of Servers, Networks, Containers, Storage, and Databases services on AWS.

Section 3 -

- Timely monitoring of production workload alerts and quick addressing the issues
- Responsible for monitoring and maintaining the Backup and DR process.

Section 4 -

- Responsible for documenting the process.
- Responsible for leading cloud implementation projects with end-to-end execution.

Qualifications: Bachelors of Engineering / MCA Preferably with AWS, Cloud certification

Skills & Competencies

- Linux and Windows servers management and troubleshooting.

- AWS services experience on CloudFormation, EC2, RDS, VPC, EKS, ECS, Redshift, Glue, etc. - AWS EKS

- Kubernetes and containers knowledge

- Understanding of setting up AWS Messaging, streaming and queuing Services(MSK, Kinesis, SQS, SNS, MQ)

- Understanding of serverless architecture. - High understanding of Networking concepts

- High understanding of Serverless architecture concept - Managing to monitor and alerting systems

- Sound knowledge of Database concepts like Dataware house, Data Lake, and ETL jobs

- Good Project management skills

- Documentation skills

- Backup, and DR understanding

Soft Skills - Project management, Process Documentation

Ideal Candidate:

- AWS certification with between 2-4 years of experience with certification and project execution experience.

- Someone who is interested in building sustainable cloud architecture with automation on AWS.

- Someone who is interested in learning and being challenged on a day-to-day basis.

- Someone who can take ownership of the tasks and is willing to take the necessary action to get it done.

- Someone who is curious to analyze and solve complex problems.

- Someone who is honest with their quality of work and is comfortable with taking ownership of their success and failure, both.

Behavioral Traits

- We are looking for someone who is interested to be part of creativity and the innovation-based environment with other team members.

- We are looking for someone who understands the idea/importance of teamwork and individual ownership at the same time.

- We are looking for someone who can debate logically, respectfully disagree, and can admit if proven wrong and who can learn from their mistakes and grow quickly

DevOps Engineer

The DevOps team is one of the core technology teams of Lumiq.ai and is responsible for managing network activities, automating Cloud setups and application deployments. The team also interacts with our customers to work out solutions. If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how you can use various technologies to improve user experience, then Lumiq is the place of opportunities.

Job Description

• Explore about the newest innovations in scalable and distributed systems.
• Helps in designing the architecture of the project, solutions to the existing problems and future improvements to be done.
• Make the cloud infrastructure and services smart by implementing automation and trigger based solutions.
• Interact with Data Engineers and Application Engineers to create continuous integration and deployment frameworks and pipelines.
• Playing around with large clusters on different clouds to tune your jobs or to learn.
• Researching about new technologies, proving the concepts and planning how to integrate or update.
• Be part of discussions of other projects to learn or to help.

Responsibilities

• 2+years of experience as DevOps Engineer.
• You understand actual networking to Software defined networking.
• You like containers and open source orchestration system like Kubernetes, Mesos.
• Should have experience to secure system by creating robust access policy and network restrictions enforcement.
• Should have  knowledge about how applications work are very important to design distributed systems.
• Should have experience to open source projects and have discussed the shortcomings or problems with the community on several occasions.
• You understand that provisioning a Virtual Machine is not DevOps.
• You know you are not a SysAdmin but DevOps Engineer who is the person behind developing operations for the system to run efficiently and scalably.
• Exposure on Private Cloud, Subnets, VPNs, Peering, Load Balancers and have worked with them.
• You check logs before screaming about error.
• Multiple Screens makes you more efficient.
• You are a doer who don’t say the word impossible.
• You understand the value of documentation of your work.
• You understand the Big Data ecosystem and how can you leverage cloud for it.
• You know these buddies - #airflow, #aws, #azure, #gcloud, #docker, #kubernetes, #mesos, #acs

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.

Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.

What we believe?

• Best practices are overrated

• Implementing best practices can only make one n ‘average’ .

• Honesty and Transparency

• We believe in naked truth. We do what we tell and tell what we do.

• Client Partnership

• Client - Vendor relationship: No. We partner with clients instead. 
• And our sales team comprises 100% of our clients.

How we work?

It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.

• Humble: Happy people don’t carry ego around. We listen to understand; not to respond.

• Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.

• Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.

• Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.

• Innovative: Innovate or Die. We love to challenge the status quo.

• Experimental: We encourage curiosity & making mistakes.

• Responsible: Driven. Self motivated. Self governing teams. We own it.

Are you the one? Quick self-discovery test:

• Love for cloud: When was the last time your dinner entailed an act on “How would ‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did the ‘Sheldon’ version of the same thing.
• Passion for sales: When was the last time you went at a remote gas station while on vacation, and ended up helping the gas station owner saasify his 7 gas stations across other geographies.
• Compassion for customers: You listen more than you speak.  When you do speak, people feel the need to listen.
• Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can attempt to take humanity to Mars, why can’t we take your business to run on cloud ?

Your bucket of undertakings:

• This position will be responsible to consult with clients and propose architectural solutions to help move & improve infra from on-premise to cloud or help optimize cloud spend from one public cloud to the other
• Be the first one to experiment on new age cloud offerings, help define the best practise as a thought leader for cloud, automation & Dev-Ops, be a solution visionary and technology expert across multiple channels.
• Continually augment skills and learn new tech as the technology and client needs evolve
• Demonstrate knowledge of cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability)
• Use your experience in Google cloud platform, AWS or Microsoft Azure to build hybrid-cloud solutions for customers.
• Provide leadership to project teams, and facilitate the definition of project deliverables around core Cloud based technology and methods.
• Define tracking mechanisms and ensure IT standards and methodology are met; deliver quality results.
• Define optimal design patterns and solutions for high availability and disaster recovery for applications
• Participate in technical reviews of requirements, designs, code and other artifacts Identify and keep abreast of new technical concepts in AWS
• Security, Risk and Compliance - Advise customers on best practices around access management, network setup, regulatory compliance and related areas
• Develop solutions architecture and evaluate architectural alternatives for private, public and hybrid cloud models, including IaaS, PaaS, and other cloud services
• Demonstrate leadership ability to back decisions with research and the “why,” and articulate several options, the pros and cons for each, and a recommendation • Maintain overall industry knowledge on latest trends, technology, etc. • • Contribute to DevOps development activities and complex development tasks
• Act as a Subject Matter Expert on cloud end-to-end architecture, including AWS and future providers, networking, provisioning, and management

Accomplishment Set 

• Passionate, persuasive, articulate Cloud professional capable of quickly establishing interest and credibility
• Good business judgment, a comfortable, open communication style, and a willingness and ability to work with customers and teams.
• Strong service attitude and a commitment to quality. Highly organised and efficient. Confident working with others to inspire a high-quality standard.

Education, Experience, etc.

• To reiterate: Passion to tech-awesome, insatiable desire to learn the latest of the new-age cloud tech, highly analytical aptitude and a strong ‘desire to deliver’ outlives those fancy degrees!
• 6 - 10 years of experience with at least 5 - 6 years of hands-on experience in Cloud Computing
• (AWS/GCP/Azure) and IT operational experience in a global enterprise environment.
• Good analytical, communication, problem solving, and learning skills.
• Knowledge on programming against cloud platforms such as AWS and lean development methodologies.

Requirements

• Design, write and build tools to improve the reliability, latency, availability and scalability of HealthifyMe application.

• Communicate, collaborate and work effectively across distributed teams in a global environment

• Optimize performance and solve issues across the entire stack: hardware, software, application, and network.

• Experienced in building infrastructure with terraform / cloudformation or equivalent.
• Experience with ansible or equivalent is beneficial
• Ability to use a wide variety of Open Source Tools
• Experience  with AWS is a must.
• Minimum 5 years of running services in a large scale environment.
• Expert level understanding of Linux servers, specifically RHEL/CentOS.
• Practical, proven knowledge of shell scripting and at least one higher-level language (eg. Python, Ruby, GoLang).
• Experience with source code and binary repositories, build tools, and CI/CD (Git, Artifactory, Jenkins, etc)
• Demonstrable knowledge of TCP/IP, HTTP, web application security, and experience supporting multi-tier web application architectures.

Look forward to

- Working with a world-class team.

- Fun & work at the same place with an amazing work culture and flexible timings.

- Get ready to transform yourself into a health junkie

Join HealthifyMe and make history!