Amazon Web Services (AWS)
Kubernetes
Docker
Jenkins
Machine Learning (ML)
grafanaROLE & 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
Shubham Vishwakarma
Full Stack Developer - Averlon
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Amazon Web Services (AWS)Senior Cloud Engineer Job Description
Position Title: Senior Cloud Engineer -- AWS [LONG TERM-CONTRACT POSITION]
Location: Remote [REQUIRES WORKING IN CST TIME ZONE]
Position Overview
The Senior Cloud Engineer will play a critical role in designing, deploying, and managing scalable, secure, and highly available cloud infrastructure across multiple platforms (AWS, Azure, Google Cloud). This role requires deep technical expertise, leadership in cloud
strategy, and hands-on experience with automation, DevOps practices, and cloud-native technologies. The ideal candidate will work collaboratively with cross-functional teams to deliver robust cloud solutions, drive best practices, and support business objectives
through innovative cloud engineering.
Key Responsibilities
Design, implement, and maintain cloud infrastructure and services, ensuring high availability, performance, and security across multi-cloud environments (AWS, Azure, GCP)
Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, and Ansible for automated provisioning and configuration
Lead the adoption and optimization of DevOps methodologies, including CI/CD pipelines, automated testing, and deployment processes
Collaborate with software engineers, architects, and stakeholders to architect cloud-native solutions that meet business and technical requirements
Monitor, troubleshoot, and optimize cloud systems for cost, performance, and reliability, using cloud monitoring and logging tools
Ensure cloud environments adhere to security best practices, compliance standards, and governance policies, including identity and access management, encryption, and vulnerability management
Mentor and guide junior engineers, sharing knowledge and fostering a culture of continuous improvement and innovation
Participate in on-call rotation and provide escalation support for critical cloud infrastructure issues
Document cloud architectures, processes, and procedures to ensure knowledge transfer and operational excellence
Stay current with emerging cloud technologies, trends, and best practices,
Required Qualifications
- Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent work experience
- 6–10 years of experience in cloud engineering or related roles, with a proven track record in large-scale cloud environments
- Deep expertise in at least one major cloud platform (AWS, Azure, Google Cloud) and experience in multi-cloud environments
- Strong programming and scripting skills (Python, Bash, PowerShell, etc.) for automation and cloud service integration
- Proficiency with DevOps tools and practices, including CI/CD (Jenkins, GitLab CI), containerization (Docker, Kubernetes), and configuration management (Ansible, Chef)
- Solid understanding of networking concepts (VPC, VPN, DNS, firewalls, load balancers), system administration (Linux/Windows), and cloud storage solutions
- Experience with cloud security, governance, and compliance frameworks
- Excellent analytical, troubleshooting, and root cause analysis skills
- Strong communication and collaboration abilities, with experience working in agile, interdisciplinary teams
- Ability to work independently, manage multiple priorities, and lead complex projects to completion
Preferred Qualifications
- Relevant cloud certifications (e.g., AWS Certified Solutions Architect, AWS DevOps Engineer, Microsoft AZ-300/400/500, Google Professional Cloud Architect)
- Experience with cloud cost optimization and FinOps practices
- Familiarity with monitoring/logging tools (CloudWatch, Kibana, Logstash, Datadog, etc.)
- Exposure to cloud database technologies (SQL, NoSQL, managed database services)
- Knowledge of cloud migration strategies and hybrid cloud architectures
Amazon Web Services (AWS)DockerRole - IT Cloud Engineer/ Devops
- Proficient in Linux.
- Hands on experience with AWS cloud or Google Cloud.
- Knowledge of container technology like Docker.
- Expertise in scripting languages. (Shell scripting or Python scripting)
- Working knowledge of LAMP/LEMP stack, networking and version control system like Gitlab or Github.
Job Description:
The incumbent would be responsible for:
- Deployment of various infrastructures on Cloud platforms like AWS, GCP, Azure, OVH etc.
- Server monitoring, analysis and troubleshooting.
- Deploying multi-tier architectures using microservices.
- Integration of Container technologies like Docker, Kubernetes etc as per application requirement.
- Automating workflow with python or shell scripting.
- CI and CD integration for application lifecycle management.
- Hosting and managing websites on Linux machines.
- Frontend, backend and database optimization.
- Protecting operations by keeping information confidential.
- Providing information by collecting, analyzing, summarizing development & service issues.
- Prepares & installs solutions by determining and designing system specifications, standards & programming.
Amazon Web Services (AWS)KubernetesWe seek a skilled and motivated Azure DevOps engineer to join our dynamic team. The ideal candidate will design, implement, and manage CI/CD pipelines, automate deployments, and optimize cloud infrastructure using Azure DevOps tools and services. You will collaborate closely with development and IT teams to ensure seamless integration and delivery of software solutions in a fast-paced environment.
Responsibilities:
- Design, implement, and manage CI/CD pipelines using Azure DevOps.
- Automate infrastructure provisioning and deployments using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Azure CLI.
- Monitor and optimize Azure environments to ensure high availability, performance, and security.
- Collaborate with development, QA, and IT teams to streamline the software development lifecycle (SDLC).
- Troubleshoot and resolve issues related to build, deployment, and infrastructure.
- Implement and manage version control systems, primarily using Git.
- Manage containerization and orchestration using tools like Docker and Kubernetes.
- Ensure compliance with industry standards and best practices for security, scalability, and reliability.
DockerKubernetesYou need to drive automation for implementing scalable and robust applications. You would indulge your dedication and passion to build server-side optimization ensuring low-latency and high-end performance for the cloud deployed within datacentre. You should have sound knowledge of Open stack and Kubernetes domain.
YOUR ‘OKR’ SUMMARY
OKR means Objective and Key Results.
As a DevOps Engineer, you will understand the overall movement of data in the entire platform, find bottlenecks,define solutions, develop key pieces, write APIs and own deployment of those. You will work with internal and external development teams to discover these opportunities and to solve hard problems. You will also guide engineers in solving the complex problems, developing your acceptance tests for those and reviewing the work and
the test results.
What you will do
- As a DevOps Engineer responsible for systems being used by customer across the globe.
- Set the goals for overall system and divide into goals for the sub-system.
- Guide/motivate/convince/mentor the architects on sub-systems and help them achieving improvements with agility and speed.
- Identify the performance bottleneck and come up with the solution to optimize time and cost taken by build/test system.
- Be a thought leader to contribute to the capacity planning for software/hardware, spanning internal and public cloud, solving the trade-off between turnaround time and utilization.
- Bring in technologies enabling massively parallel systems to improve turnaround time by an order of magnitude.
What you will need
A strong sense of ownership, urgency, and drive. As an integral part of the development team, you will need the following skills to succeed.
- BS or BE/B.Tech or equivalent experience in EE/CS with 10+ years of experience.
- Strong background of Architecting and shipping distributed scalable software product with good understanding of system programming.
- Excellent background of Cloud technologies like: OpenStack, Docker, Kubernetes, Ansible, Ceph is must.
- Excellent understanding of hybrid, multi-cloud architecture and edge computing concepts.
- Ability to identify the bottleneck and come up with solution to optimize it.
- Programming and software development skills in Python, Shell-script along with good understanding of distributed systems and REST APIs.
- Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.
- Excellent knowledge and working experience with Docker containers and Virtual Machines.
- Ability to effectively work across organizational boundaries to maximize alignment and productivity between teams.
- Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate.
Additional Advantage:
- Deep understanding of technology and passionate about what you do.
- Background in designing high performant scalable software systems with strong focus to optimizehardware cost.
- Solid collaborative and interpersonal skills, specifically a proven ability to effectively guide andinfluence within a dynamic environment.
- Strong commitment to get the most performance out of a system being worked on.
- Prior development of a large software project using service-oriented architecture operating with real time constraints.
What's In It for You?
- You will get a chance to work on cloud-native and hyper-scale products
- You will be working with industry leaders in cloud.
- You can expect a steep learning curve.
- You will get the experience of solving real time problems, eventually you become a problem solver.
Benefits & Perks:
- Competitive Salary
- Health Insurance
- Open Learning - 100% Reimbursement for online technical courses.
- Fast Growth - opportunities to grow quickly and surely
- Creative Freedom + Flat hierarchy
- Sponsorship to all those employees who represent company in events and meet ups.
- Flexible working hours
- 5 days week
- Hybrid Working model (Office and WFH)
Our Hiring Process:
Candidates for this position can expect the hiring process as follows (subject to successful clearing of every round)
- Initial Resume screening call with our Recruiting team
- Next, candidates will be invited to solve coding exercises.
- Next, candidates will be invited for first technical interview
- Next, candidates will be invited for final technical interview
- Finally, candidates will be invited for Culture Plus interview with HR
- Candidates may be asked to interview with the Leadership team
- Successful candidates will subsequently be made an offer via email
As always, the interviews and screening call will be conducted via a mix of telephonic and video call.
So, if you are looking at an opportunity to really make a difference- make it with us…
Coredge.io provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable central, state or local laws.
KubernetesDockerAmazon Web Services (AWS)The DevOps Engineer's core responsibilities include automated configuration and management
of infrastructure, continuous integration and delivery of distributed systems at scale in a Hybrid
environment.
Must-Have:
● You have 4-10 years of experience in DevOps
● You have experience in managing IT infrastructure at scale
● You have experience in automation of deployment of distributed systems and in
infrastructure provisioning at scale.
● You have in-depth hands-on experience on Linux and Linux-based systems, Linux
scripting
● You have experience in Server hardware, Networking, firewalls
● You have experience in source code management, configuration management,
continuous integration, continuous testing, continuous monitoring
● You have experience with CI/CD and related tools
* You have experience with Monitoring tools like ELK, Grafana, Prometheus
● You have experience with containerization, container orchestration, management
● Have a penchant for solving complex and interesting problems.
● Worked in startup-like environments with high levels of ownership and commitment.
● BTech, MTech or Ph.D. in Computer Science or related Technical Discipline
PythonAmazon Web Services (AWS)KubernetesDocker- Job Title:- Backend/DevOps Engineer
- Job Location:- Opp. Sola over bridge, Ahmedabad
- Education:- B.E./ B. Tech./ M.E./ M. Tech/ MCA
- Number of Vacancy:- 03
- 5 Days working
- Notice Period:- Can join less than a month
- Job Timing:- 10am to 7:30pm.
About the Role
Are you a server-side developer with a keen interest in reliable solutions?
Is Python your language?
Do you want a challenging role that goes beyond backend development and includes infrastructure and operations problems?
If you answered yes to all of the above, you should join our fast growing team!
We are looking for 3 experienced Backend/DevOps Engineers who will focus on backend development in Python and will be working on reliability, efficiency and scalability of our systems. As a member of our small team you will have a lot of independence and responsibilities.
As Backend/DevOps Engineer you will...:-
- Design and maintain systems that are robust, flexible and preformat
- Be responsible for building complex and take high- scale systems
- Prototype new gameplay ideas and concepts
- Develop server tools for game features and live operations
- Be one of three backend engineers on our small and fast moving team
- Work alongside our C++, Android, and iOS developers
- Contribute to ideas and design for new features
To be successful in this role, we'd expect you to…:-
- Have 3+ years of experience in Python development
- Be familiar with common database access patterns
- Have experience with designing systems and monitoring metrics, looking at graphs.
- Have knowledge of AWS, Kubernetes and Docker.
- Be able to work well in a remote development environment.
- Be able to communicate in English at a native speaking and writing level.
- Be responsible to your fellow remote team members.
- Be highly communicative and go out of your way to contribute to the team and help others
KaiOS is a mobile operating system for smart feature phones that stormed the scene to become the 3rd largest mobile OS globally (2nd in India ahead of iOS). We are on 100M+ devices in 100+ countries. We recently closed a Series B round with Cathay Innovation, Google and TCL.
What we are looking for:
- BE/B-Tech in Computer Science or related discipline
- 3+ years of overall commercial DevOps / infrastructure experience, cross-functional delivery-focused agile environment; previous experience as a software engineer and ability to see into and reason about the internals of an application a major plus
- Extensive experience designing, delivering and operating highly scalable resilient mission-critical backend services serving millions of users; experience operating and evolving multi-regional services a major plus
- Strong engineering skills; proficiency in programming languages
- Experience in Infrastructure-as-code tools, for example Terraform, CloudFormation
- Proven ability to execute on a technical and product roadmap
- Extensive experience with iterative development and delivery
- Extensive experience with observability for operating robust distributed systems – instrumentation, log shipping, alerting, etc.
- Extensive experience with test and deployment automation, CI / CD
- Extensive experience with infrastructure-as-code and tooling, such as Terraform
- Extensive experience with AWS, including services such as ECS, Lambda, DynamoDB, Kinesis, EMR, Redshift, Elasticsearch, RDS, CloudWatch, CloudFront, IAM, etc.
- Strong knowledge of backend and web technology; infrastructure experience with at-scale modern data technology a major plus
- Deep expertise in server-side security concerns and best practices
- Fluency with at least one programming language. We mainly use Golang, Python and JavaScript so far
- Outstanding analytical thinking, problem solving skills and attention to detail
- Excellent verbal and written communication skills
Requirements
Designation: DevOps Engineer
Location: Bangalore OR Hongkong
Experience: 4 to 7 Years
Notice period: 30 days or Less
Amazon Web Services (AWS)KubernetesPythonAs DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to work on, helping to enhance our product performance and reliability.
Responsibilities:
- Build & operate infrastructure to support website, backed cluster, ML projects in the organization.
- Helping teams become more autonomous and allowing the Operation team to focus on improving the infrastructure and optimizing processes.
- Delivering system management tooling to the engineering teams.
- Working on your own applications which will be used internally.
- Contributing to open source projects that we are using (or that we may start).
- Be an advocate for engineering best practices in and out of the company.
- Organizing tech talks and participating in meetups and representing Box8 at industry events.
- Sharing pager duty for the rare instances of something serious happening.
- Collaborate with other developers to understand & setup tooling needed for Continuous Integration/Delivery/Deployment (CI/CD) practices.
Requirements:
- 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing amounts of traffic and new product requirements.
- Ruby On Rails or Python and Bash/Shell skills.
- Experience managing complex systems at scale.
- Experience with Docker, rkt or similar container engine.
- Experience with Kubernetes or similar clustering solutions.
- Experience with tools such as Ansible or Chef Understanding of the importance of smart metrics and alerting.
- Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch).
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience in working on linux based servers.
- Managing large scale production grade infrastructure on AWS Cloud.
- Good Knowledge on scripting languages like ruby, python or bash.
- Experience in creating in deployment pipeline from scratch.
- Expertise in any of the CI tools, preferably Jenkins.
- Good knowledge of docker containers and its usage.
- Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu.
Good to have:
- Knowledge of Ruby on Rails based applications and its deployment methodologies.
- Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
- Extra Points For Experience With Front-end development NewRelic GCP Kafka, Elasticsearch.
Amazon Web Services (AWS)KubernetesDocker● Develop and deliver automation software required for building & improving the functionality, reliability, availability, and manageability of applications and cloud platforms
● Champion and drive the adoption of Infrastructure as Code (IaC) practices and mindset
● Design, architect, and build self-service, self-healing, synthetic monitoring and alerting platform and tools
● Automate the development and test automation processes through CI/CD pipeline (Git, Jenkins, SonarQube, Artifactory, Docker containers)
● Build container hosting-platform using Kubernetes
● Introduce new cloud technologies, tools & processes to keep innovating in commerce area to drive greater business value.
Skills Required:
● Excellent written and verbal communication skills and a good listener.
● Proficiency in deploying and maintaining Cloud based infrastructure services (AWS, GCP, Azure – good hands-on experience in at least one of them)
● Well versed with service-oriented architecture, cloud-based web services architecture, design patterns and frameworks.
● Good knowledge of cloud related services like compute, storage, network, messaging (Eg SNS, SQS) and automation (Eg. CFT/Terraform).
● Experience with relational SQL and NoSQL databases, including Postgres and
Cassandra.
● Experience in systems management/automation tools (Puppet/Chef/Ansible, Terraform)
● Strong Linux System Admin Experience with excellent troubleshooting and problem solving skills
● Hands-on experience with languages (Bash/Python/Core Java/Scala)
● Experience with CI/CD pipeline (Jenkins, Git, Maven etc)
● Experience integrating solutions in a multi-region environment
● Self-motivate, learn quickly and deliver results with minimal supervision
● Experience with Agile/Scrum/DevOps software development methodologies.
Nice to Have:
● Experience in setting-up Elastic Logstash Kibana (ELK) stack.
● Having worked with large scale data.
● Experience with Monitoring tools such as Splunk, Nagios, Grafana, DataDog etc.
● Previously experience on working with distributed architectures like Hadoop, Mapreduce etc.
DockerPython
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Full Stack Developer - Averlon