DevOps Engineer (ELK / AWS)

Job Title: DevOps Engineer

Experience Required: 4-6 Years

Desired Skills: Kubernetes, Docker, AWS, Azure, Python, Java, Terraform

Location: Pune

Employment Type: Full-time

We are looking for a DevOps Engineer who can think of automation at every step of software development. This includes hands-on experience and knowledge of the following -

• 4+ years of professional DevOps experience
• Hands-on expert development skills in Python/Java is a must
• Experience with Infrastructure as code tools such as Terraform
• Hands on experience with Kubernetes (EKS, AKS, GKE) or other container orchestration tools
• Containerization technologies and tools such as Docker
• Understanding of Cloud computing providers such as AWS, GCP, etc. and their services
• Configuring and spinning up applications and microservices on K8s clusters
• Good academics
• Good communication skills

Immediately available candidates would be preferred.

DevOps Engineer

Location: Bangalore office

About Peliqan

Peliqan is an all-in-one data platform combining ELT/ETL pipelines, a built-in data warehouse, SQL and low-code Python transformations, reverse ETL, and AI-powered data activation. We connect 250+ data sources and serve enterprise teams, consultants, and SaaS companies. SOC 2 Type II certified and GDPR compliant.

The Role

Own and evolve the infrastructure powering Peliqan's multi-tenant data platform. You'll manage Kubernetes clusters, cloud resources, CI/CD pipelines, and monitoring — keeping everything reliable, secure, and scalable. You'll be the go-to person for infrastructure support across the engineering team.

Responsibilities

Manage and optimise Kubernetes clusters running production workloads — data pipelines, APIs, and customer-facing services.

Maintain Docker-based local development environments for the engineering team.

Administer cloud infrastructure on AWS and Google Cloud (compute, storage, networking, managed databases).

Build and maintain CI/CD pipelines for automated testing, building, and deploying across staging and production.

Set up and manage monitoring, alerting, and logging for platform health and incident response.

Manage release processes — deployments, rollbacks, and release strategies.

• Maintain infrastructure-as-code using Helm charts.
• Support security hardening and compliance efforts (SOC 2, GDPR).

Requirements

3+ years in a DevOps, SRE, or Infrastructure Engineering role.

Strong hands-on experience with Kubernetes and Helm charts.

Deep familiarity with Docker for containerisation and local dev workflows.

Production experience with AWS and/or Google Cloud.

• Proficiency in Python and Bash scripting for automation and tooling.
• Solid grasp of DevOps principles: infrastructure-as-code, GitOps, observability, continuous delivery.
• Experience with CI/CD platforms (GitHub Actions, GitLab CI, or similar).

Nice to Have

• Experience supporting multi-tenant SaaS platforms or data infrastructure at scale.
• Knowledge of PostgreSQL, MySQL, or cloud-managed database administration.
• Exposure to security compliance frameworks (SOC 2, ISO 27001, GDPR).

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.

• Essentail Skills:
• Docker
• Jenkins
• Python dependency management using conda and pip

• Base Linux System Commands, Scripting
• Docker Container Build & Testing
• Common knowledge of minimizing container size and layers
• Inspecting containers for un-used / underutilized systems
• Multiple Linux OS support for virtual system

• Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
• Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
• Jenkins PIpeline
• Github API Understanding to trigger builds, tags, releases
• Artifactory Experience
• Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)

Job Summary

You'd be meticulously analyzing project requirements and carry forward the development of highly robust, scalable and easily maintainable backend applications, work independently, and you'll have the support & opportunity to thrive in a fast-paced environment.

Responsibilities and Duties:

• 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 analysing 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

Skill Requirements:

1. Managing GitHub (example: - creating branches for test, QA, development and production, creating Release tags, resolve merge conflict)
2. Setting up of the servers based on the projects in either AWS or Azure (test, development, QA, staging and production)
3. AWS S3 configuring and s3 web hosting, Archiving data from s3 to s3-glacier
4. Deploying the build(application) to the servers using AWS CI/CD and Jenkins (Automated and manual)
5. AWS Networking and Content delivery (VPC, Route 53 and CloudFront)
6. Managing databases like RDS, Snowflake, Athena, Redis and Elasticsearch
7. Managing IAM roles and policies for the functions like Lambda, SNS, aws cognito, secret manager, certificate manager, Guard Duty, Inspector EC2 and S3.
8. AWS Analytics (Elasticsearch, Athena, Glue and kinesis).
9. AWS containers (elastic container registry, elastic container service, elastic Kubernetes service, Docker Hub and Docker compose
10. AWS Auto scaling group (launch configuration, launch template) and load balancer
11. EBS (snapshots, volumes and AMI.)
12. AWS CI/CD build spec scripting, Jenkins groovy scripting, shell scripting and python scripting.
13. Sagemaker, Textract, forecast, LightSail
14. Android and IOS automation building
15. Monitoring tools like cloudwatch, cloudwatch log group, Alarm, metric dashboard, SNS(simple notification service), SES(simple email service)
16. Amazon MQ
17. Operating system Linux and windows
18. X-Ray, Cloud9, Codestar
19. Fluent Shell Scripting
20. Soft Skills
21. Scripting Skills , Good to have knowledge (Python, Javascript, Java,Node.js)
22. Knowledge On Various DevOps Tools And Technologies

Qualifications and Skills

Job Type: Full-time

Experience: 4 - 7 yrs

Qualification: BE/ BTech/MCA.

Location: Bengaluru, Karnataka

We are looking for a Sr. Engineer DevOps and SysOps, who is responsible for managing AWS and Azure cloud computing.  Your primary focus would be to help multiple projects with various cloud service implementation, create and manage CI/CD pipelines for deployment, explore new services on cloud and help projects to implement them.

Technical Requirements & Responsibilities

1. Have 4+ years’ experience as a DevOps and SysOps Engineer.
2. Apply cloud computing skills to deploy upgrades and fixes on AWS and Azure (GCP is optional / Good to have).
3. Design, develop, and implement software integrations based on user feedback.
4. Troubleshoot production issues and coordinate with the development team to streamline code deployment.
5. Implement automation tools and frameworks (CI/CD pipelines).
6. Analyze code and communicate detailed reviews to development teams to ensure a marked improvement in applications and the timely completion of projects.
7. Collaborate with team members to improve the company’s engineering tools, systems and procedures, and data security.
8. Optimize the company’s computing architecture.
9. Conduct systems tests for security, performance, and availability.
10. Develop and maintain design and troubleshooting documentation.
11. Expert in code deployment tools (Puppet, Ansible, and Chef).
12. Can maintain Java / PHP / Ruby on Rail / DotNet web applications.
13. Experience in network, server, and application-status monitoring.
14. Possess a strong command of software-automation production systems (Jenkins and Selenium).
15. Expertise in software development methodologies.
16. You have working knowledge of known DevOps tools like Git and GitHub.
17. Possess a problem-solving attitude.
18. Can work independently and as part of a team.

Soft Skills Requirements

1. Strong communication skills
2. Agility and quick learner
3. Attention to detail
4. Organizational skills
5. Understanding of the Software development life cycle
6. Good Analytical and problem-solving skills
7. Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities
8. Should have a high level of energy working as an individual contributor and as a part of team.
9. Good command over verbal and written English communication

Mandatory Skills Sets                                                                   

• Excellent problem-solving skills in technical challenges
• Deep knowledge of at least one cloud platform (AWS Preferred)
• Understanding of Latest cloud computing technologies
• Experience in architecting solutions based on knowledge of infrastructure & application architectures including the integration approaches
• Complete hands-on with ability to grasp evolving technologies and coding languages
• Excellent communication skills which would involve customer facing role
• Design thinking
• Customer facing skills and strong technical capabilities to review the teams work as well as guide the team
• Experience working/building/contributing to proposals for architecture, estimations

Preferred Skills Sets                                                                      

• Experience architecting infrastructure solutions using both Linux/Unix and Windows with specific recommendations on server, load balancing, HA/DR, & storage architectures.
• Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers.
• Person must have performed Application Architect Role for 3+ years
• AWS platform specific experience a bonus.
• Enterprise application and database architecture a bonus.

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!