Senior 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 Summary:

We are seeking a highly skilled and proactive DevOps Engineer with 4+ years of experience to join our dynamic team. This role requires strong technical expertise across cloud infrastructure, CI/CD pipelines, container orchestration, and infrastructure as code (IaC). The ideal candidate should also have direct client-facing experience and a proactive approach to managing both internal and external stakeholders.

Key Responsibilities:

• Collaborate with cross-functional teams and external clients to understand infrastructure requirements and implement DevOps best practices.
• Design, build, and maintain scalable cloud infrastructure on AWS (EC2, S3, RDS, ECS, etc.).
• Develop and manage infrastructure using Terraform or CloudFormation.
• Manage and orchestrate containers using Docker and Kubernetes (EKS).
• Implement and maintain CI/CD pipelines using Jenkins or GitHub Actions.
• Write robust automation scripts using Python and Shell scripting.
• Monitor system performance and availability, and ensure high uptime and reliability.
• Execute and optimize SQLqueries for MSSQL and PostgresQL databases.
• Maintain clear documentation and provide technical support to stakeholders and clients.

Required Skills:

• Minimum 4+ years of experience in a DevOps or related role.
• Proven experience in client-facing engagements and communication.
• Strong knowledge of AWS services – EC2, S3, RDS, ECS, etc.
• Proficiency in Infrastructure as Code using Terraform or CloudFormation.
• Hands-on experience with Docker and Kubernetes (EKS).
• Strong experience in setting up and maintaining CI/CD pipelines with Jenkins or GitHub.
• Solid understanding of SQL and working experience with MSSQL and PostgreSQL.
• Proficient in Python and Shell scripting.

Preferred Qualifications:

• AWS Certifications (e.g., AWS Certified DevOps Engineer) are a plus.
• Experience working in Agile/Scrum environments.
• Strong problem-solving and analytical skills.

• 2+ years work experience in a DevOps or similar role
• Knowledge of OO programming and concepts (Java, C++, C#, Python)
• A drive towards automating repetitive tasks (e.g., scripting via Bash, Python, etc)
• Fluency in one or more scripting languages such as Python or Ruby.
• Familiarity with Microservice-based architectures
• Practical experience with Docker containerization and clustering (Kubernetes/ECS)
• In-depth, hands-on experience with Linux, networking, server, and cloud architectures.
• Experience with CI/CD tools Azure DevOps, AWS cloud formation, Lamda functions, Jenkins, and Ansible
• Experience with AWS, Azure, or another cloud PaaS provider.
• Solid understanding of configuration, deployment, management, and maintenance of large cloud-hosted systems; including auto-scaling, monitoring, performance tuning, troubleshooting, and disaster recovery
• Proficiency with source control, continuous integration, and testing pipelines
  
• Effective communication skills

• Deploy and maintain critical applications on cloud-native microservices architecture.
• Implement automation, effective monitoring, and infrastructure-as-code.
• Deploy and maintain CI/CD pipelines across multiple environments.
• Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them.
• Analyze how customers are using the platform and help drive continuous improvement.
• Support and work alongside a cross-functional engineering team on the latest technologies.
• Iterate on best practices to increase the quality & velocity of deployments.
• Sustain and improve the process of knowledge sharing throughout the engineering team
• Identification and prioritization of technical debt that risks instability or creates wasteful operational toil.
• Own daily operational goals with the team.

Bito is a startup that is using AI (ChatGPT, OpenAI, etc) to create game-changing productivity experiences for software developers in their IDE and CLI. Already, over 100,000 developers are using Bito to increase their productivity by 31% and performing more than 1 million AI requests per week.

Our founders have previously started, built, and taken a company public (NASDAQ: PUBM), worth well over $1B. We are looking to take our learnings, learn a lot along with you, and do something more exciting this time. This journey will be incredibly rewarding, and is incredibly difficult!

We are building this company with a fully remote approach, with our main teams for time zone management in the US and in India. The founders happen to be in Silicon Valley and India.

We are hiring a DevOps Engineer to join our team.

Responsibilities:

• Collaborate with the development team to design, develop, and implement Java-based applications
• Perform analysis and provide recommendations for Cloud deployments and identify opportunities for efficiency and cost reduction
• Build and maintain clusters for various technologies such as Aerospike, Elasticsearch, RDS, Hadoop, etc
• Develop and maintain continuous integration (CI) and continuous delivery (CD) frameworks
• Provide architectural design and practical guidance to software development teams to improve resilience, efficiency, performance, and costs
• Evaluate and define/modify configuration management strategies and processes using Ansible
• Collaborate with DevOps engineers to coordinate work efforts and enhance team efficiency
• Take on leadership responsibilities to influence the direction, schedule, and prioritization of the automation effort

Requirements:

• Minimum 4+ years of relevant work experience in a DevOps role
• At least 3+ years of experience in designing and implementing infrastructure as code within the AWS/GCP/Azure ecosystem
• Expert knowledge of any cloud core services, big data managed services, Ansible, Docker, Terraform/CloudFormation, Amazon ECS/Kubernetes, Jenkins, and Nginx
• Expert proficiency in at least two scripting/programming languages such as Bash, Perl, Python, Go, Ruby, etc.
• Mastery in configuration automation tool sets such as Ansible, Chef, etc
• Proficiency with Jira, Confluence, and Git toolset
• Experience with automation tools for monitoring and alerts such as Nagios, Grafana, Graphite, Cloudwatch, New Relic, etc
• Proven ability to manage and prioritize multiple diverse projects simultaneously

What do we offer: 

At Bito, we strive to create a supportive and rewarding work environment that enables our employees to thrive. Join a dynamic team at the forefront of generative AI technology. 

·               Work from anywhere 

·               Flexible work timings 

·               Competitive compensation, including stock options 

·               A chance to work in the exciting generative AI space 

·               Quarterly team offsite events

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

Job Description :

• Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
• Extensive AWS/GCP Core Infrastructure skills
• Infrastructure/ IAC Automation, Integration - Terraform
• Kubernetes resources engineering and management
• Experience with DevOps tools, CICD pipelines and release management
• Good at creating documentation(runbooks, design documents, implementation plans )

Linux Experience :

1. Namespace
2. Virtualization
3. Containers

Networking Experience

1. Virtual networking
2. Overlay networks
3. Vxlans, GRE

Kubernetes Experience :

Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.

Observability                              

Experience in observability is a plus

Cloud automation :

Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.

MTX Group Inc. is seeking a motivated Lead DevOps Engineer to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The Maverick Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.

Responsibilities:

• Be responsible for software releases, configuration, monitoring and support of production system components and infrastructure.
• Troubleshoot technical or functional issues in a complex environment to provide timely resolution, with various applications and platforms that are global.
• Bring experience on Google Cloud Platform.
• Write scripts and automation tools in languages such as Bash/Python/Ruby/Golang.
• Configure and manage data sources like PostgreSQL, MySQL, Mongo, Elasticsearch, Redis, Cassandra, Hadoop, etc
• Build automation and tooling around Google Cloud Platform using technologies such as Anthos, Kubernetes, Terraform, Google Deployment Manager, Helm, Cloud Build etc.
• Bring a passion to stay on top of DevOps trends, experiment with and learn new CI/CD technologies.
• Work with users to understand and gather their needs in our catalogue. Then participate in the required developments
• Manage several streams of work concurrently
• Understand how various systems work
• Understand how IT operations are managed

What you will bring:

• 5 years of work experience as a DevOps Engineer.
• Must possess ample knowledge and experience in system automation, deployment, and implementation.
• Must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.
• Experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, MySQL, and Git. 
• Knowledge in handling distributed data systems. Examples: Elasticsearch, Cassandra, Hadoop, and others.

What we offer:

• Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
• Sum Insured: INR 5,00,000/- 
• Maternity cover upto two children
• Inclusive of COVID-19 Coverage
• Cashless & Reimbursement facility
• Access to free online doctor consultation

• Personal Accident Policy (Disability Insurance) -

• Sum Insured: INR. 25,00,000/- Per Employee
• Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
• Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
• Temporary Total Disability is covered

• An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver  benefit
• Monthly Internet Reimbursement of upto Rs. 1,000 
• Opportunity to pursue Executive Programs/ courses at top universities globally
• Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others

                                                       *******************

Creates, modifies, and maintains software applications individually or as part of a team.  Provides technical leadership on a team, including training and mentoring of other team members.  Provides technology and architecture direction for the team, department, and organization.

• Develops software applications and supporting infrastructure using established coding standards and methodologies
• Sets example for software quality through multiple levels of automated tests, including but not limited to unit, API, End to End, and load.
• Self-starter and self-organized - able to work without supervision
• Develops tooling, test harnesses and innovative solutions to understand and monitor the quality of the product 
• Develops infrastructure as code to reliably deploy applications on demand or through automation
• Understands cloud managed services and builds scalable and secure applications using them
• Creates proof of concepts for new ideas that answer key questions of feasibility, desirability, and viability
• Work with other technical leaders to establish coding standards, development best practices and technology direction
• Performs thorough code reviews that promote better understanding throughout the team
• Work with architects, designers, business analysts and others to design and implement high quality software solutions
• Builds intuitive user interfaces with the end user persona in mind using front end frameworks and styling
• Assist product owners in backlog grooming, story breakdown and story estimation
• Collaborate and communicate effectively with team members and other stakeholders throughout the organization
• Document software changes for use by other engineers, quality assurance and documentation specialists
• Master the technologies, languages, and practices used by the team and project assigned
• Train others in the technologies, languages, and practices used by the team
• Trouble shoot, instrument and debug existing software resolving root causes of defective behavior
• Guide the team in setting up the infrastructure in the cloud.
• Setup the security protocols for the cloud infrastructure
• Works with the team in setting up the data hub in the cloud
• Create dashboards for the visibility of the various interactions between the cloud services
• Other duties as assigned

• BA/BS in Computer Science, a related field or equivalent work experience

• Mastered advanced programming concepts, including object oriented programming
• Mastered technologies and tools utilized by team and project assigned
• Able to train others on general programming concepts and specific technologies
• Minimum 8 years’ experience developing software applications

• Must be expert in advanced programming skills and database technology
• Must be expert in at least one technology and/or language and proficient in multiple technologies and languages:
• (Specific languages needed will vary based on development department or project)
• .Net Core, C#, Java, SQL, JavaScript, Typescript, Python
• Additional desired skills:
  • Single-Page Applications, Angular (v9), Ivy, RXJS, NGRX, HTML5, CSS/SASS, Web Components, Atomic Design
  • Test First approach, Test Driven Development (TDD), Automated testing (Protractor, Jasmine), Newman Postman, artillery.io
  • Microservices, Terraform, Jenkins, Jupyter Notebook, Docker, NPM, Yarn, Nuget, NodeJS, Git/Gerrit, LaunchDarkly
  • Amazon Web Services (AWS), Lambda, S3, Cognito, Step Functions, SQS, IAM, Cloudwatch, Elasticache
  • Database Design, Optimization, Replication, Partitioning/Sharding, NoSQL, PostgreSQL, MongoDB, DynamoDB, Elastic Search, PySpark, Kafka
  • Agile, Scrum, Kanban, DevSecOps
• Strong problem-solving skills
• Outstanding communications and interpersonal skills
• Strong organizational skills and ability to multi-task
• Ability to track software issues to successful resolution
• Ability to work in a collaborative fast paced environment
• Setting up complex AWS data storage hub
• Well versed in setting up infrastructure security in the interactions between the planned components
• Experienced in setting up dashboards for analyzing the various operations in the AWS infra setup.
• Ability to learn new development language quickly and apply that knowledge effectively

• Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
• Hands on experience in DevOps tools configuration in different environments.
• Strong knowledge of working with DevOps design patterns, processes and best practices
• Hand-on experience in Setting up Build pipelines.
• Prior working experience in system administration or architecture in Windows or Linux.
• Must have experience in GIT (BitBucket, GitHub, GitLab)
• Hands-on experience on Jenkins pipeline scripting.
• Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
• Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
• Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
• Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
• Good to have experience in migrating code repositories from one source control to another.
• Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
• Must have good communication skills and problem solving skills