DevOps Engineer

Key responsibilities

• Design, build, and maintain robust CI/CD pipelines using Azure DevOps Services (Azure Pipelines) and Git-based workflows.

• Implement and manage infrastructure as code (IaC) using ARM templates, Bicep, and/or Terraform for repeatable environment provisioning.

• Containerize applications (Docker) and manage container orchestration platforms such as AKS (Azure Kubernetes Service).

• Automate build, test, release, and rollback processes; integrate automated testing and quality gates into pipelines.

• Monitor and improve platform reliability and observability using logging and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).

• Drive platform security and compliance through pipeline controls, secrets management (Key Vault / Vault), and secure configuration practices.

• Implement cost-optimization and governance for Azure resources (tags, policies, budgets).

• Troubleshoot build/release failures, production incidents, and performance bottlenecks; perform root-cause analysis and implement permanent fixes.

• Mentor developers in Git workflows, pipeline authoring, best practices for IaC, and cloud-native design.

• Maintain clear documentation: runbooks, deployment playbooks, architecture diagrams, and pipeline templates. 

Required skills & experience

• 4+ years hands-on experience working with Azure and cloud-native application delivery.

• Deep experience with Azure DevOps (Repos, Pipelines, Artifacts, Boards).

• Strong IaC skills with Terraform, ARM templates, or Bicep.

• Solid experience with CI/CD design and YAML pipeline authoring.

• Practical knowledge of containerization (Docker) and Kubernetes — preferably AKS.

• Scripting skills: PowerShell, Bash, and/or Python for automation.

• Experience with Git workflows (branching strategies, PRs, code reviews).

• Familiarity with configuration management and secrets management (Azure Key Vault, HashiCorp Vault).

• Understanding of networking, identity (Azure AD), and security fundamentals in Azure.

• Strong troubleshooting, debugging, and incident response skills.

• Good collaboration and communication skills; ability to work across teams.

Certification

AZ-400: Microsoft Certified: DevOps Engineer Expert or AZ-104 or AZ 305 or Terraform Associate.

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

DevOps Engineer

Our engineering team is looking for Big-Data DevOps engineers to join the engineering team and help us automate the build, release, packaging and infrastructure provisioning and support processes. The candidate is expected to own the full life-cycle of provisioning, configuration management, monitoring, maintenance and support for cloud as well as on premise deployments.

Responsibilities

• 3-plus years of DevOps experience managing the Big Data application stack including HDFS, YARN, Spark, Hive and Hbase
• Deeper understanding of all the configurations required for installing and maintaining the infrastructure in the long run
• Experience setting up high availability, configuring resource allocation, setting up capacity schedulers, handling data recovery tasks
• Experience with middle-layer technologies including web servers (httpd, ningx),

application servers (Jboss, Tomcat) and database systems (postgres, mysql)

• Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
• Experience maintaining and hardening the infrastructure by regularly applying required security packages and patches
• Experience supporting on-premise solutions as well as on AWS cloud
• Experience working with and supporting Spark-based applications on YARN
• Experience with one or more automation tools such as Ansible, Terraform, etc
• Experience working with CI/CD tools like Jenkins and various test report and coverage Plugins
• Experience defining and automating the build, versioning and release processes for complex enterprise products
• Experience supporting clients remotely and on-site
• Experience working with and supporting Java- and Python-based tech stacks would be a Plus

Requirements

Core skills:

● Strong background in Linux / Unix Administration and

troubleshooting

● Experience with AWS (ideally including some of the following:

VPC, Lambda, EC2, Elastic Cache, Route53, SNS, Cloudwatch,

Cloudfront, Redshift, Open search, ELK etc.)

● Experience with Infra Automation and Orchestration tools

including Terraform, Packer, Helm, Ansible.

● Hands on Experience on container technologies like Docker,

Kubernetes/EKS, Gitlab and Jenkins as Pipeline.

● Experience in one or more of Groovy, Perl, Python, Go or

scripting experience in Shell.

● Good understanding of with Continuous Integration(CI) and

Continuous Deployment(CD) pipelines using tools like Jenkins,

FlexCD, ArgoCD, Spinnaker etc

● Working knowledge of key value stores, database technologies

(SQL and NoSQL), Mongo, mySQL

● Experience with application monitoring tools like Prometheus,

Grafana, APM tools like NewRelic, Datadog, Pinpoint

● Good exposure on middleware components like ELK, Redis, Kafka

and IOT based systems including Redis, NewRelic, Akamai,

Apache / Nginx, ELK, Grafana, Prometheus etc

Good to have:

● Prior experience in Logistics, Payment and IOT based applications

● Experience in unmanaged mongoDB cluster, automations &

operations, analytics

● Write procedures for backup and disaster recovery

Core Experience

● 3-5 years of hands-on DevOps experience

● 2+ years of hands-on Kubernetes experience

● 3+ years of Cloud Platform experience with special focus on

Lambda, R53, SNS, Cloudfront, Cloudwatch, Elastic Beanstalk,

RDS, Open Search, EC2, Security tools

● 2+ years of scripting experience in Python/Go, shell

● 2+ years of familiarity with CI/CD, Git, IaC, Monitoring, and

Logging tools

POSITION SUMMARY:

We are looking for a passionate, high energy individual to help build and manage the infrastructure network that powers the Product Development Labs for F5 Inc. The F5 Infra Engineer plays a critical role to our Product Development team by providing valuable services and tools for the F5 Hyderabad Product Development Lab. The Infra team supports both production systems and customized/flexible testing environments used by Test and Product Development teams. As an Infra Engineer, you ’ll have the opportunity to work with cutting-edge technology and work with talented individuals. The ideal candidate will have experience in Private and Public Cloud – AWS-AZURE-GCP, OpenStack, storage, Backup, VMware, KVM, XEN, HYPER-V Hypervisor Server Administration, Networking and Automation in Data Center Operations environment at a global enterprise scale with Kubernetes, OpenShift Container Flatforms.

EXPERIENCE

7- 9+ Years – Software Engineer III

PRIMARY RESPONSIBILITIES:

• Drive the design, Project Build, Infrastructure setup, monitoring, measurements, and improvements around the quality of services Provided, Network and Virtual Instances service from OpenStack, VMware VIO, Public and private cloud and DevOps environments.

• Work closely with the customers and understand the requirements and get it done on timelines.

• Work closely with F5 architects and vendors to understand emerging technologies and F5 Product Roadmap and how they would benefit the Infra team and its users.

• Work closely with the Team and complete the deliverables on-time

• Consult with testers, application, and service owners to design scalable, supportable network infrastructure to meet usage requirements.

• Assume ownership for large/complex systems projects; mentor Lab Network Engineers in the best practices for ongoing maintenance and scaling of large/complex systems.

• Drive automation efforts for the configuration and maintainability of the public/private Cloud.  

• Lead product selection for replacement or new technologies

• Address user tickets in a timely manner for the covered services

• Responsible for deploying, managing, and supporting production and pre-production environments for our core systems and services.

• Migration and consolidations of infrastructure

• Design and implement major service and infrastructure components.

• Research, investigate and define new areas of technology to enhance existing service or new service directions.

• Evaluate performance of services and infrastructure; tune, re-evaluate the design and implementation of current source code and system configuration.

• Create and maintain scripts and tools to automate the configuration, usability and troubleshooting of the supported applications and services.

• Ability to take ownership on activities and new initiatives.

• Infra Global Support from India towards product Development teams.

• On-call support on a rotational basis for a global turn-around time-zones

• Vendor Management for all latest hardware and software evaluations keep the system up-to-date.

KNOWLEDGE, SKILLS AND ABILITIES:

• Have an in-depth multi-disciplined knowledge of Storage, Compute, Network, DevOps technologies and latest cutting-edge technologies.

• Multi-cloud - AWS, Azure, GCP, OpenStack, DevOps Operations

• IaaS- Infrastructure as a service, Metal as service, Platform service

• Storage – Dell EMC, NetApp, Hitachi, Qumulo and Other storage technologies

• Hypervisors – (VMware, Hyper-V, KVM, Xen and AHV)

• DevOps – Kubernetes, OpenShift, docker, other container and orchestration flatforms

• Automation – Scripting experience python/shell/golan , Full Stack development and Application Deployment

• Tools - Jenkins, splunk, kibana, Terraform, Bitbucket, Git, CI/CD configuration.

• Datacenter Operations – Racking, stacking, cable matrix, Solution Design and Solutions Architect 

• Networking Skills –   Cisco/Arista Switches, Routers, Experience on Cable matrix design and pathing (Fiber/copper)

• Experience in SAN/NAS storage – (EMC/Qumulo/NetApp & others)

• Experience with Red Hat Ceph storage.

• A working knowledge of Linux, Windows, and Hypervisor Operating Systems and virtual machine technologies

• SME - subject matter expert for all cutting-edge technologies

• Data center architect professional & Storage Expert level Certified professional experience .

• A solid understanding of high availability systems, redundant networking and multipathing solutions

• Proven problem resolution related to network infrastructure, judgment, negotiating and decision-making skills along with excellent written and oral communication skills.

• A Working experience in Object – Block – File storage Technologies

• Experience in Backup Technologies and backup administration.

• Dell/HP/Cisco UCS server’s administration is an additional advantage.

• Ability to quickly learn and adopt new technologies.

• A very very story experience and exposure towards open-source flatforms.

• A working experience on monitoring tools Zabbix, nagios , Datadog etc ..

• A working experience on and BareMetal services and OS administration.

• A working experience on the cloud like AWS- ipsec, Azure - express route, GCP – Vpn tunnel etc.

• A working experience in working using software define network like (VMware NSX, SDN, Openvswitch etc ..)

• A working experience with systems engineering and Linux /Unix administration

• A working experience with Database administration experience with PostgreSQL, MySQL, NoSQL

• A working experience with automation/configuration management using either Puppet, Chef or an equivalent

• A working experience with DevOps Operations Kubernetes, container, Docker, and git repositories

• Experience in Build system process and Code-inspect and delivery methodologies.

• Knowledge on creating Operational Dashboards and execution lane.

• Experience and knowledge on DNS, DHCP, LDAP, AD, Domain-controller services and PXE Services

• SRE experience in responsible for availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning.

• Vendor support – OEM upgrades, coordinating technical support and troubleshooting experience.

• Experience in handling On-call Support and hierarchy process.

• Knowledge on scale-out and scale-in architecture.

• Working experience in ITSM / process Management tools like ServiceNow, Jira, Jira Align.

• Knowledge on Agile and Scrum principles

• Working experience with ServiceNow

• Knowledge sharing, transition experience and self-learning Behavioral.

Not just a delivery company…

RaRa Delivery is revolutionising instant delivery for e-commerce in Indonesia through data driven logistics.

RaRa Delivery is making instant and same-day deliveries scalable and cost-effective by leveraging a differentiated operating model and real-time optimisation technology. RaRa makes it possible for anyone, anywhere to get same day delivery in Indonesia. While others are focusing on ‘one-to-one’ deliveries, the company has developed proprietary, real-time batching tech to do ‘many-to-many’ deliveries within a few hours.. RaRa is already in partnership with some of the top eCommerce players in Indonesia like Blibli, Sayurbox, Kopi Kenangan and many more.

We are a distributed team with the company headquartered in Singapore 🇸🇬 , core operations in Indonesia 🇮🇩 and technology team based out of India 🇮🇳

Future of eCommerce Logistics.

• Data driven logistics company that is bringing in same day delivery revolution in Indonesia 🇮🇩
• Revolutionising delivery as an experience
• Empowering D2C Sellers with logistics as the core technology

• Build and maintain CI/CD tools and pipelines.
• Designing and managing highly scalable, reliable, and fault-tolerant infrastructure & networking that forms the backbone of distributed systems at RaRa Delivery.
• Continuously improve code quality, product execution, and customer delight.
• Communicate, collaborate and work effectively across distributed teams in a global environment.
• Operate to strengthen teams across their product with their knowledge base
• Contribute to improving team relatedness, and help build a culture of camaraderie.
• Continuously refactor applications to ensure high-quality design
• Pair with team members on functional and non-functional requirements and spread design philosophy and goals across the team
• Excellent bash, and scripting fundamentals and hands-on with scripting in programming languages such as Python, Ruby, Golang, etc.
• Good understanding of distributed system fundamentals and ability to troubleshoot issues in a larger distributed infrastructure
• Working knowledge of the TCP/IP stack, internet routing, and load balancing
• Basic understanding of cluster orchestrators and schedulers (Kubernetes)
• Deep knowledge of Linux as a production environment, container technologies. e.g. Docker, Infrastructure As Code such as Terraform, K8s administration at large scale.
• Have worked on production distributed systems and have an understanding of microservices architecture, RESTful services, CI/CD.

About the job

Our goal

We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

The role:

Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.

Responsibilities

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
• Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
• Continually evaluate and improve DevOps processes for a cloud-native codebase.
• Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
• Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

• 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
• Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
• Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
• 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
• Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
• (Bonus: worked with big data in data lakes/warehouses).
• (Bonus: built an end-to-end ML pipeline)

Skills

• Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
• Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
• Strong independent contributor as well as a team player.
• Working knowledge of ML and familiarity with concepts of MLOps

Benefits

• Competitive Salary
• Work Remotely
• Health insurance
• Unlimited Time Off
• Support for continual learning (free books and online courses)
• Reimbursement for streaming services (think Netflix)
• Reimbursement for gym or physical activity of your choice
• Flex hours
• Leveling Up Opportunities

You will excel in this role if

• You have a product mindset. You understand, care about, and can relate to our customers.
• You take ownership, collaborate, and follow through to the very end.
• You love solving difficult problems, stand your ground, and get what you want from engineers.
• Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

• Expertise in Infrastructure & Application design & architecture
• Expertise in AWS, OS & networking
• Having good exposure on Infra & Application security
• Expertise in Python, Shell scripting
• Proficient with Devops tools Terraform, Jenkins, Ansible, Docker, GIT
• Solid background in systems engineering and operations
• Strong in Devops methodologies and processes
• Strong in CI/CD pipeline & SDLC.