DevOps Engineer at Elysium Labs Pvt Ltd · Remote only · 0 - 2 years · ₹10L - ₹12L / yr · Profitable · Remote only · Posted 22 Jul 2024

We are a technology company operating in the media space. We are the pioneers of robot journalism in India. We use the mix of AI-generated and human-edited content, across media formats, be it audio, video or text.
Our key products include India’s first explanatory journalism portal (NewsBytes), a content platform for developers (DevBytes), and a SaaS platform for content creators (YANTRA).
Our B2C media products are consumed by more than 50 million users in a month, while our AI-driven B2B content engine helps companies create text-based content at scale.
The company was started by IIT, IIM Ahmedabad alumni and Cornell University. It has raised institutional financing from well-renowned media-tech VC and a Germany-based media conglomerate.
We are hiring a talented DevOps Engineer with 3+ years of experience to join our team. If you're excited to be part of a winning team, we are a great place to grow your career.
Responsibilities
● Handle and optimise cloud (servers and CDN)
● Build monitoring tools for the infrastructure
● Perform a granular level of analysis and optimise usage
● Help migrate from a single cloud environment to multi-cloud strategy
● Monitor threats and explore building a protection layer
● Develop scripts to automate certain aspects of the deployment process
Requirements and Skills
● 0-2 years of experience as a DevOps Engineer
● Proficient with AWS and GCP
● A certification from relevant cloud companies
● Knowledge of PHP will be an advantage
● Working knowledge of databases and SQL

About Elysium Labs Pvt Ltd
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Greetings from NAM Info Pvt Ltd,
Job Title: GCP DevOps Engineer
Location: Bangalore
Experience: 6+ Years
Employment Type: Full Time with NAM Info Pvt Ltd (Payroll)
Job Description:
We are looking for a GCP DevOps Engineer with hands-on experience in Google Cloud Platform and DevOps tools. The ideal candidate should have experience in CI/CD, cloud infrastructure, automation, and container technologies.
Required Skills:
- Experience with Google Cloud Platform (GCP)
- Knowledge of CI/CD tools such as Jenkins or GitLab CI
- Experience with Docker and Kubernetes (GKE preferred)
- Infrastructure as Code using Terraform
- Good knowledge of Linux and Shell scripting
- Experience with Git version control
- Monitoring tools such as Prometheus or Grafana is a plus
- Good troubleshooting and communication skills
ROLE & RESPONSIBILITIES:
We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.
KEY RESPONSIBILITIES:
1. Cloud Security (AWS)-
- Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
- Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
- Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
- Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
- Ensure encryption of data at rest/in transit across all cloud services.
2. DevOps Security (IaC, CI/CD, Kubernetes, Linux)-
Infrastructure as Code & Automation Security:
- Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
- Enforce misconfiguration scanning and automated remediation.
CI/CD Security:
- Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
- Implement secure build, artifact signing, and deployment workflows.
Containers & Kubernetes:
- Harden Docker images, private registries, runtime policies.
- Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
- Apply CIS Benchmarks for Kubernetes and Linux.
Monitoring & Reliability:
- Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
- Ensure audit logging across cloud/platform layers.
3. MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-
Pipeline & Workflow Security:
- Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
- Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.
ML Platform Security:
- Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
- Control model access, artifact protection, model registry security, and ML metadata integrity.
Data Security:
- Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
- Enforce data versioning security, lineage tracking, PII protection, and access governance.
ML Observability:
- Implement drift detection (data drift/model drift), feature monitoring, audit logging.
- Integrate ML monitoring with Grafana/Prometheus/CloudWatch.
4. Network & Endpoint Security-
- Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
- Conduct vulnerability assessments, penetration test coordination, and network segmentation.
- Secure remote workforce connectivity and internal office networks.
5. Threat Detection, Incident Response & Compliance-
- Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
- Build security alerts, automated threat detection, and incident workflows.
- Lead incident containment, forensics, RCA, and remediation.
- Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
- Maintain security policies, procedures, RRPs (Runbooks), and audits.
IDEAL CANDIDATE:
- 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
- Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
- Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
- Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
- Strong Linux security (CIS hardening, auditing, intrusion detection).
- Proficiency in Python, Bash, and automation/scripting.
- Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
- Understanding of microservices, API security, serverless security.
- Strong understanding of vulnerability management, penetration testing practices, and remediation plans.
EDUCATION:
- Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
- Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.
PERKS, BENEFITS AND WORK CULTURE:
- Competitive Salary Package
- Generous Leave Policy
- Flexible Working Hours
- Performance-Based Bonuses
- Health Care Benefits
Role: Senior Platform Engineer (GCP Cloud)
Experience Level: 3 to 6 Years
Work location: Mumbai
Mode : Hybrid
Role & Responsibilities:
- Build automation software for cloud platforms and applications
- Drive Infrastructure as Code (IaC) adoption
- Design self-service, self-healing monitoring and alerting tools
- Automate CI/CD pipelines (Git, Jenkins, SonarQube, Docker)
- Build Kubernetes container platforms
- Introduce new cloud technologies for business innovation
Requirements:
- Hands-on experience with GCP Cloud
- Knowledge of cloud services (compute, storage, network, messaging)
- IaC tools experience (Terraform/CloudFormation)
- SQL & NoSQL databases (Postgres, Cassandra)
- Automation tools (Puppet/Chef/Ansible)
- Strong Linux administration skills
- Programming: Bash/Python/Java/Scala
- CI/CD pipeline expertise (Jenkins, Git, Maven)
- Multi-region deployment experience
- Agile/Scrum/DevOps methodology
Wissen Technology is hiring for Devops engineer
Required:
-4 to 10 years of relevant experience in Devops
-Must have hands on experience on AWS, Kubernetes, CI/CD pipeline
-Good to have exposure on Github or Gitlab
-Open to work from hashtag Chennai
-Work mode will be Hybrid
Company profile:
Company Name : Wissen Technology
Group of companies in India : Wissen Technology & Wissen Infotech
Work Location - Chennai
Website : www.wissen.com
Wissen Thought leadership : https://lnkd.in/gvH6VBaU
LinkedIn: https://lnkd.in/gnK-vXjF
What You’ll Do:
We’re looking for a skilled DevOps Engineer to help us build and maintain reliable, secure, and scalable infrastructure. You will work closely with our development, product, and security teams to streamline deployments, improve performance, and ensure cloud infrastructure resilience.
Responsibilities:
● Deploy, manage, and monitor infrastructure on Google Cloud Platform (GCP)
● Build CI/CD pipelines using Jenkins and integrate them with Git workflows
● Design and manage Kubernetes clusters and helm-based deployments
● Manage infrastructure as code using Terraform
● Set up logging, monitoring, and alerting (Stackdriver, Prometheus, Grafana)
● Ensure security best practices across cloud resources, networks, and secrets
● Automate repetitive operations and improve system reliability
● Collaborate with developers to troubleshoot and resolve issues in staging/production environments
What We’re Looking For:
Required Skills:
● 1–3 years of hands-on experience in a DevOps or SRE role
● Strong knowledge of GCP services (IAM, GKE, Cloud Run, VPC, Cloud Build, etc.)
● Proficiency in Kubernetes (deployment, scaling, troubleshooting)
● Experience with Terraform for infrastructure provisioning
● CI/CD pipeline setup using Jenkins, GitHub Actions, or similar tools
● Understanding of DevSecOps principles and cloud security practices
● Good command over Linux, shell scripting, and basic networking concepts
Nice to have:
● Experience with Docker, Helm, ArgoCD
● Exposure to other cloud platforms (AWS, Azure)
● Familiarity with incident response and disaster recovery planning
● Knowledge of logging and monitoring tools like ELK, Prometheus, Grafana
Skills We Require:- Dev Ops, AWS Admin, terraform, Infrastructure as a Code
SUMMARY:-
- Implement integrations requested by customers
- Deploy updates and fixes
- Provide Level 2 technical support
- Build tools to reduce occurrences of errors and improve customer experience
- Develop software to integrate with internal back-end systems
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Develop scripts to automate visualization
- Design procedures for system troubleshooting and maintenance
Have good hands on experience on Dev Ops, AWS Admin, terraform, Infrastructure as a Code
Have knowledge on EC2, Lambda, S3, ELB, VPC, IAM, Cloud Watch, Centos, Server Hardening
Ability to understand business requirements and translate them into technical requirements
A knack for benchmarking and optimizationWe are looking for an experienced Sr.Devops Consultant Engineer to join our team. The ideal candidate should have at least 5+ years of experience.
We are retained by a promising startup located in Silicon valley backed by Fortune 50 firm with veterans from firms as Zscaler, Salesforce & Oracle. Founding team has been part of three unicorns and two successful IPO’s in the past and well funded by Dell Technologies and Westwave Capital. The company has been widely recognized as an industry innovator in the Data Privacy, Security space and being built by proven Cybersecurity executives who have successfully built and scaled high growth Security companies and built Privacy programs as executives.
Responsibilities:
- Develop and maintain infrastructure as code using tools like Terraform, CloudFormation, and Ansible
- Manage and maintain Kubernetes clusters on EKS and EC2 instances
- Implement and maintain automated CI/CD pipelines for microservices
- Optimize AWS costs by identifying cost-saving opportunities and implementing cost-effective solutions
- Implement best security practices for microservices, including vulnerability assessments, SOC2 compliance, and network security
- Monitor the performance and availability of our cloud infrastructure using observability tools such as Prometheus, Grafana, and Elasticsearch
- Implement backup and disaster recovery solutions for our microservices and databases
- Stay up to date with the latest AWS services and technologies and provide recommendations for improving our cloud infrastructure
- Collaborate with cross-functional teams, including developers, and product managers, to ensure the smooth operation of our cloud infrastructure
- Experience with large scale system design and scaling services is highly desirable
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field
- At least 5 years of experience in AWS DevOps and infrastructure engineering
- Expertise in Kubernetes management, Docker, EKS, EC2, Queues, Python Threads, Celery Optimization, Load balancers, AWS cost optimizations, Elasticsearch, Container management, and observability best practices
- Experience with SOC2 compliance and vulnerability assessment best practices for microservices
- Familiarity with AWS services such as S3, RDS, Lambda, and CloudFront
- Strong scripting skills in languages like Python, Bash, and Go
- Excellent communication skills and the ability to work in a collaborative team environment
- Experience with agile development methodologies and DevOps practices
- AWS certification (e.g. AWS Certified DevOps Engineer, AWS Certified Solutions Architect) is a plus.
Notice period : Can join within a month
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
Role Purpose:
As a DevOps , You should be strong in both the Dev and Ops part of DevOps. We are looking for someone who has a deep understanding of systems architecture, understands core CS concepts well, and is able to reason about system behaviour rather than merely working with the toolset of the day. We believe that only such a person will be able to set a compelling direction for the team and excite those around them.
If you are someone who fits the description above, you will find that the rewards are well worth the high bar. Being one of the early hires of the Bangalore office, you will have a significant impact on the culture and the team; you will work with a set of energetic and hungry peers who will challenge you, and you will have considerable international exposure and opportunity for impact across departments.
Responsibilities
- Deployment, management, and administration of web services in a public cloud environment
- Design and develop solutions for deploying highly secure, highly available, performant and scalable services in elastically provisioned environments
- Design and develop continuous integration and continuous deployment solutions from development through production
- Own all operational aspects of running web services including automation, monitoring and alerting, reliability and performance
- Have direct impact on running a business by thinking about innovative solutions to operational problems
- Drive solutions and communication for production impacting incidents
- Running technical projects and being responsible for project-level deliveries
- Partner well with engineering and business teams across continents
Required Qualifications
- Bachelor’s or advanced degree in Computer Science or closely related field
- 4 - 6 years professional experience in DevOps, with at least 1/2 years in Linux / Unix
- Very strong in core CS concepts around operating systems, networks, and systems architecture including web services
- Strong scripting experience in Python and Bash
- Deep experience administering, running and deploying AWS based services
- Solid experience with Terraform, Packer and Docker or their equivalents
- Knowledge of security protocols and certificate infrastructure.
- Strong debugging, troubleshooting, and problem solving skills
- Broad experience with cloud hosted applications including virtualization platforms, relational and non relational data stores, reverse proxies, and orchestration platforms
- Curiosity, continuous learning and drive to continually raise the bar
- Strong partnering and communication skills
Preferred Qualifications
- Past experience as a senior developer or application architect strongly preferred.
- Experience building continuous integration and continuous deployment pipelines
- Experience with Zookeeper, Consul, HAProxy, ELK-Stack, Kafka, PostgreSQL.
- Experience working with, and preferably designing, a system compliant to any security framework (PCI DSS, ISO 27000, HIPPA, SOC 2, ...)
- Experience with AWS orchestration services such as ECS and EKS.
- Experience working with AWS ML pipeline services like AWS Sagemak
Araali Networks is seeking a highly driven DevOps engineer to help streamline the release and deployment process, while assuring high quality.
Responsibilities:
Use best practices to streamline the release process
Use IaC methods to manage cloud infrastructure
Use test automation for release qualification
Skills and Qualifications:
Hands-on experience in managing release pipelines
Good understanding of public cloud infrastructure
Working knowledge of python test frameworks like pyunit, and automation tools like Selenium, Cucumber etc
Strong analytical and debugging skills
Bachelor’s degree in Computer Science
About Araali:
Araali Networks is a SaaS based cybersecurity startup that has raised a total of $10M from well known investors like A Capital, Firebolt Ventures and SV Angels, and and through a strategic investment by a publicly traded security company.
The company is disrupting the cloud firewall market by auto-creating nano-perimeters around every cloud app. The Araali solution enables developers to focus on features and improves the security posture through simplification and automation.
The security controls are embedded at the time of DevOps. The precision of Araali controls also helps with security operations where alerts are precise and intelligently routed to the right app team, making it actionable in real-time.










