DevOps Engineer

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

JOB DETAILS:

- Job Title: Senior Devops Engineer 1

- Industry: Ride-hailing

- Experience: 4-6 years

- Working Days: 5 days/week

- Work Mode: ONSITE

- Job Location: Bangalore

- CTC Range: Best in Industry

Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)

Criteria:

1. Candidate must be from a product-based or scalable app-based startups company with experience handling large-scale production traffic.

2. Candidate must have strong Linux expertise with hands-on production troubleshooting and working knowledge of databases and middleware (Mongo, Redis, Cassandra, Elasticsearch, Kafka).

3. Candidate must have solid experience with Kubernetes.

4. Candidate should have strong knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.

5. Candidate must be an individual contributor with strong ownership.

6. Candidate must have hands-on experience with DATABASE MIGRATIONS and observability tools such as Prometheus and Grafana.

7. Candidate must have working knowledge of Go/Python and Java.

8. Candidate should have working experience on Cloud platform - AWS

9. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.

Description 

Job Summary:

As a DevOps Engineer at company, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.

Job Responsibilities:

- Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs.

- Understanding the needs of stakeholders and conveying this to developers.

- Working on ways to automate and improve development and release processes.

- Identifying technical problems and developing software updates and ‘fixes’.

- Working with software developers to ensure that development follows established processes and works as intended.

- Do what it takes to keep the uptime above 99.99%.

- Understand DevOps philosophy and evangelize the principles across the organization.

- Strong communication and collaboration skills to break down the silos

Job Requirements:

- B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience.

- Minimum 4 yrs of experience working as a DevOps/Infrastructure Consultant.

- Strong background in operating systems like Linux.

- Understands the container orchestration tool Kubernetes.

- Proficient Knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.

- Problem-solving attitude, and ability to write scripts using any scripting language.

- Understanding programming languages like GO/Python, and Java.

- Basic understanding of databases and middlewares like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

- Should be able to take ownership of tasks, and must be responsible. - Good communication skills

You will be responsible for:

• Managing all DevOps and infrastructure for Sizzle
• We have both cloud and on-premise servers
• Work closely with all AI and backend engineers on processing requirements and managing both development and production requirements
• Optimize the pipeline to ensure ultra fast processing
• Work closely with management team on infrastructure upgrades

You should have the following qualities:

• 3+ years of experience in DevOps, and CI/CD
• Deep experience in: Gitlab, Gitops, Ansible, Docker, Grafana, Prometheus
• Strong background in Linux system administration
• Deep expertise with AI/ML pipeline processing, especially with GPU processing. This doesn’t need to include model training, data gathering, etc. We’re looking more for experience on model deployment, and inferencing tasks at scale
• Deep expertise in Python including multiprocessing / multithreaded applications
• Performance profiling including memory, CPU, GPU profiling
• Error handling and building robust scripts that will be expected to run for weeks to months at a time
• Deploying to production servers and monitoring and maintaining the scripts
• DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
• Expertise in Docker-based virtualization including - creating & maintaining custom Docker images, deployment of Docker images on cloud and on-premise services, monitoring of production Docker images with robust error handling
• Expertise in AWS infrastructure, networking, availability

Optional but beneficial to have:

• Experience with running Nvidia GPU / CUDA-based tasks
• Experience with image processing in python (e.g. openCV, Pillow, etc)
• Experience with PostgreSQL and MongoDB (Or SQL familiarity)
• Excited about working in a fast-changing startup environment
• Willingness to learn rapidly on the job, try different things, and deliver results
• Bachelors or Masters degree in computer science or related field
• Ideally a gamer or someone interested in watching gaming content online

Skills:

DevOps, Ansible, CI/CD, GitLab, GitOps, Docker, Python, AWS, GCP, Grafana, Prometheus, python, sqlalchemy, Linux / Ubuntu system administration

Seniority: We are looking for a mid to senior level engineer

Salary: Will be commensurate with experience. 

Who Should Apply:

If you have the right experience, regardless of your seniority, please apply.

Work Experience: 3 years to 6 years

• Collaborate with Dev, QA and Data Science teams on environment maintenance, monitoring (ELK, Prometheus or equivalent), deployments and diagnostics
• Administer a hybrid datacenter, including AWS and EC2 cloud assets
• Administer, automate and troubleshoot container based solutions deployed on AWS ECS
• Be able to troubleshoot problems and provide feedback to engineering on issues
• Automate deployment (Ansible, Python), build (Git, Maven. Make, or equivalent) and integration (Jenkins, Nexus) processes
• Learn and administer technologies such as ELK, Hadoop etc.
• A self-starter and enthusiasm to learn and pick up new technologies in a fast-paced environment.

Need to have

• Hands-on Experience in Cloud based DevOps
• Experience working in AWS (EC2, S3, CloudFront, ECR, ECS etc)
• Experience with any programming language.
• Experience using Ansible, Docker, Jenkins, Kubernetes
• Experience in Python.
• Should be very comfortable working in Linux/Unix environment.
• Exposure to Shell Scripting.
• Solid troubleshooting skills

Experience of Linux

Experience using Python or Shell scripting (for Automation) 

Hands-on experience with Implementation of CI/CD Processes 

Experience working  with one cloud platforms (AWS or Azure or Google) 

Experience working with configuration management tools such as Ansible & Chef 

Experience working with   Containerization tool Docker.

Experience working with Container Orchestration tool Kubernetes.

Experience in source Control Management including SVN and/or Bitbucket

& GitHub

Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools 

Hands-on experience in Linux, Scripting Language & AWS is mandatory

Troubleshoot and Triage development, Production issues

• You have a Bachelor's degree in computer science or equivalent
• You have at least 7 years of DevOps experience.
• You have deep understanding of AWS and cloud architectures/services.
• You have expertise within the container and container orchestration space (Docker, Kubernetes, etc.).
• You have experience working with infrastructure provisioning tools like CloudFormation, Terraform, Chef, Puppet, or others.
• You have experience enabling CI/CD pipelines using tools such as Jenkins, AWS Code Pipeline, Gitlab, or others.
• You bring a deep understanding and application of computer science fundamentals: data structures, algorithms, and design patterns.
• You have a track record of delivering successful solutions and collaborating with others.
• You take security into account when building new systems.

We are a team of SysOps/DevOps engineers

with one goal in mind -to keep your online business up and running 24/7.Solving problems is

our thing, but we believe that dealing with the same issues over and over again is

unnecessary and counterproductive. Our objective is to find the ultimate solution for each

and every problem! Though, each one of us is different, we have the same goal: to make

our customer's life easier and enjoy it at the same time.

Scope & Responsibilities

As a Department Leader, you will be responsible for managing and mentoring the team of

Linux systems administrators on a daily basis. You will help build and grow the sys admins

team and lead them to success. As Systems Management Department Leader, you will work

both as a People Manager and a Senior Systems Administrator.

As Manager you will recruit and retain a high motivated and professional team of

administrators. Together with our CTO and HR team, youre going to define recruitment

needs in your team and participate in the recruitment process. You will also work on

improving the onboarding process for new employees.

More tech part of the job contains designing and managing systems, tools, and infrastructure

to match our customers needs and provide them with outstanding, safe and reliable

solutions.

This position requires you to be able to devise proactive solutions to project-related issues

and inspire trust in teammates. Are you a team player who is ready to work with our team to

find solutions and are AWS Certified ? We await your CV

Skills & Certifications

- Proven team building and management background (2+ years)

- Strong project, process and people management skills

- Excellent communication skills in English

- Strong background in Linux administration (4+ years experience)

- Amazon AWS certification preferred (EC2, ECS, EKS, Lambda, IAM, KMS)

- Automation (we use Ansible)

- Infrastructure as code (we use Terraform)

- Knowledge of CI/CD tools and best practices

- Comfort with collaboration across multiple projects

- Ability to lead and coordinate team of professionals on daily basis

This position also requires you to be able to participate in on-call

schedules.Roles and Responsibilities