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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 Description
Role: Sr. DevOps – Architect
Location: Bangalore
Who are we looking for?
A senior level DevOps consultant with deep DevOps related expertise. The Individual should be passionate about technology and demonstrate depth and breadth of expertise in similar roles and Enterprise Systems/Enterprise Architecture Frameworks;
Technical Skills:
• 8+ years of relevant DevOps /Operations/Development experience working under Agile DevOps culture on large scale distributed systems.
• Experience in building a DevOps platform in integrating DevOps tool chain using REST/SOAP/ESB technologies.
• Required hands on programming skills on developing automation modules using one of these scripting languages Python/Perl/Ruby/Bash
• Require hands on experience with public cloud such as AWS, Azure, Openstack, Pivotal Cloud Foundry etc though Azure experience is must.
• Experience in working more than one of the configuration management tools like Chef/Puppet/Ansible and building own cookbook/manifest is required.
• Experience with Docker and Kubernetes.
• Experience in Building CI/CD pipelines using any of the continuous integration tools like Jenkins, Bamboo etc.
• Experience with planning tools like Jira, Rally etc.
• Hands on experience on continuous integration and build tools like (Jenkins, Bamboo, CruiseControl etc.) along with version control system like (GIT, SVN, GITHUB, TFS etc.), build automation tools like Maven/Gradle/ANT and dependency management tools like Artifactory/Nexus.
• Experience with more than one deployment automation tools like IBM urban code, CA automic, XL Deploy etc.
• Experience on setting up and managing DevOps tools on Repository, Monitoring, Log Analysis etc. using tools like (New Relic, Splunk, App Dynamics etc.)
• Understanding of Applications, Networking and Open source tools.
• Experience on security side of DevOps i.e. DevSecOps
• Good to have understanding of Micro services architecture.
• Experience working with remote/offshore teams is a huge plus
• Experience in building a Dashboard based on latest JS technologies like NodeJS
• Experience with NoSQL database like MongoDB
• Experience in working with REST APIs
• Experience with tools like NPM, Gulp
Process Skills:
• Ability in performing rapid assessments of clients’ internal technology landscape and targeting use cases and deployment targets
• Develop and create program blueprint, case study, supporting technical documentations for DevOps to be commercialized and duplicate work across different business customers
• Compile, deliver, and evangelize roadmaps that guide the evolution of services
• Grasp and communicate big-picture enterprise-wide issues to team
• Experience working in an Agile / Scrum / SAFe environment preferred
Behavioral Skills :
• Should have directly worked on creating enterprise level operating models, architecture options
• Model as-is and to-be architectures based on business requirements
• Good communication & presentation skills
• Self-driven + Disciplined + Organized + Result Oriented + Focused & Passionate about work
• Flexible for short term travel
Primary Duties / Responsibilities:
• Build Automations and modules for DevOps platform
• Build integrations between various DevOps tools
• Interface with another teams to provide support and understand the overall vision of the transformation platform.
• Understand the customer deployment scenarios, and Continuously improve and update the platform based on agile requirements.
• Preparing HLDs and LLDs.
• Presenting status to leadership and key stakeholders at regular intervals
Qualification:
• Somebody who has at least 12+ years of work experience in software development.
• 5+ years industry experience in DevOps architecture related to Continuous Integration/Delivery solutions, Platform Automation including technology consulting experience
• Education qualification: B.Tech, BE, BCA, MCA, M. Tech or equivalent technical degree from a reputed college
- Design cloud infrastructure that is secure, scalable, and highly available on AWS, Azure and GCP
- Work collaboratively with software engineering to define infrastructure and deployment requirements
- Provision, configure and maintain AWS, Azure, GCP cloud infrastructure defined as code
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS, Azure Infrastructure and systems
- Perform infrastructure cost analysis and optimization
Senior Software Engineer I - DevOps Engineer
Exceptional software engineering is challenging. Amplifying it to ensure that multiple teams can concurrently create and manage a vast, intricate product escalates the complexity. As a Senior Software Engineer within the Release Engineering team at Sumo Logic, your task will be to develop and sustain automated tooling for the release processes of all our services. You will contribute significantly to establishing automated delivery pipelines, empowering autonomous teams to create independently deployable services. Your role is integral to our overarching strategy of enhancing software delivery and progressing Sumo Logic’s internal Platform-as-a-Service.
What you will do:
• Own the Delivery pipeline and release automation framework for all Sumo services
• Educate and collaborate with teams during both design and development phases to ensure best practices.
• Mentor a team of Engineers (Junior to Senior) and improve software development processes.
• Evaluate, test, and provide technology and design recommendations to executives.
• Write detailed design documents and documentation on system design and implementation.
• Ensuring the engineering teams are set up to deliver quality software quickly and reliably.
• Enhance and maintain infrastructure and tooling for development, testing and debugging
What you already have
• B.S. or M.S. Computer Sciences or related discipline
• Ability to influence: Understand people’s values and motivations and influence them towards making good architectural choices.
• Collaborative working style: You can work with other engineers to come up with good decisions.
• Bias towards action: You need to make things happen. It is essential you don’t become an inhibitor of progress, but an enabler.
• Flexibility: You are willing to learn and change. Admit past approaches might not be the right ones now.
Technical skills:
- 4+ years of experience in the design, development, and use of release automation tooling, DevOps, CI/CD, etc.
- 2+ years of experience in software development in Java/Scala/Golang or similar
- 3+ years of experience on software delivery technologies like jenkins including experience writing and developing CI/CD pipelines and knowledge of build tools like make/gradle/npm etc.
- Experience with cloud technologies, such as AWS/Azure/GCP
- Experience with Infrastructure-as-Code and tools such as Terraform
- Experience with scripting languages such as Groovy, Python, Bash etc.
- Knowledge of monitoring tools such as Prometheus/Grafana or similar tools
- Understanding of GitOps and ArgoCD concepts/workflows
- Understanding of security and compliance aspects of DevSecOps
About Us
Sumo Logic, Inc. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.
Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.
Job Role - DevOps Infra Lead Engineer
About LenDenClub
LenDenClub is a leading peer-to-peer lending platform that provides an alternate investment opportunity to investors or lenders looking for high returns with creditworthy borrowers looking for short-term personal loans. With a total of 8 million users and 2 million+ investors on board, LenDenClub has become a go-to platform to earn returns in the range of 10%-12%. LenDenClub offers investors a convenient medium to browse thousands of borrower profiles to achieve better returns than traditional asset classes. Moreover, LenDenClub is safeguarded by
market volatility and inflation. LenDenClub provides a great way to diversify one’s investment portfolio.
LenDenClub has raised US $10 million in a Series A round from an association of investors. With the new round of funding, LenDenClub was valued at more than US $51 million in the last round and has grown multifold since then.
Why work at LenDenClub
LenDenClub is a certified great place to work. The certification comes from the Great Place to Work Institute, Inc., a globally renowned firm dedicated to evaluating companies for their employee satisfaction on the grounds of high trust and high-performance culture at workplaces.
As a LenDenite, you will be a part of an enthusiastic and passionate group of individuals who own and love what they do. At LenDenClub we believe in creating leaders and with you coming on board you get to work with complete freedom to chase your ultimate career goal without any inhibitions.
Website - https://www.lendenclub.com
Location - Mumbai (Goregaon)
Responsibilities of a DevOps Infra Lead Engineer:
● Responsible for creating software deployment strategies that are essential for the successful deployment of software in the work environment. Identify and implement data storage methods like clustering to improve the performance of the team.
● Responsible for coming up with solutions for managing a vast number of documents in real-time and enables quick search and analysis. Identifies issues in the production phase and system and implements monitoring solutions to overcome those issues.
● Stay abreast of industry trends and best practices. Conduct research, tests, and execute new techniques which could be reused and applied to the software development project.
● Accountable for designing, building, and optimizing automation systems that help to execute business web and data infrastructure platforms.
● Creating technology infrastructure, automation tools, and maintaining configuration management.
● To cater to the engineering department’s quality and standards, implement lifecycle infrastructure solutions and documentation operations.
● Implementation and maintaining of CI/CD pipelines.
● Containerisation of applications
● Construct and improve the security on the infrastructure
● Infrastructure As A Code
● Maintaining Environments
● Nat and ACL's
● Setup of ECS and ELB for HA
● WAF and Firewall and DMZ
● Deployment strategies for high uptime
● Setup up monitoring and policies for infra and applications
Required Skills
● Communication Skills
● Interpersonal Skills
● Infrastructure
● Aware of technologies like Python, MYSQL, MongoDB, and so on.
● Sound knowledge of cloud infrastructure.
● Should possess knowledge of fundamental Unix/Linux, monitoring, editing, and command-based tools is essential.
● Versed in scripting languages such as Ruby and Shell
● Google Cloud Platforms, Hadoop, NoSQL databases, and big data clusters.
● Knowledge of open source technologies

We are now seeking a talented and motivated individual to contribute to our product in the Cloud data
protection space. Ability to clearly comprehend customer needs in a cloud environment, excellent
troubleshooting skills, and the ability to focus on problem resolution until completion are a requirement.
Responsibilities Include:
Review proposed feature requirements
Create test plan and test cases
Analyze performance, diagnosis, and troubleshooting
Enter and track defects
Interact with customers, partners, and development teams
Researching customer issues and product initiatives
Provide input for service documentation
Required Skills:
Bachelor's degree in Computer Science, Information Systems or related discipline
3+ years' experience inclusive of Software as a Service and/or DevOps engineering experience
Experience with AWS services like VPC, EC2, RDS, SES, ECS, Lambda, S3, ELB
Experience with technologies such as REST, Angular, Messaging, Databases, etc.
Strong troubleshooting skills and issue isolation skills
Possess excellent communication skills (written and verbal English)
Must be able to work as an individual contributor within a team
Ability to think outside the box
Experience in configuring infrastructure
Knowledge of CI / CD
Desirable skills:
Programming skills in scripting languages (e.g., python, bash)
Knowledge of Linux administration
Knowledge of testing tools/frameworks: TestNG, Selenium, etc
Knowledge of Identity and Security
About Hive
Hive is the leading provider of cloud-based AI solutions for content understanding,
trusted by the world’s largest, fastest growing, and most innovative organizations. The
company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
About Role
Our unique machine learning needs led us to open our own data centers, with an
emphasis on distributed high performance computing integrating GPUs. Even with these data centers, we maintain a hybrid infrastructure with public clouds when the right fit. As we continue to commercialize our machine learning models, we also need to grow our DevOps and Site Reliability team to maintain the reliability of our enterprise SaaS offering for our customers. Our ideal candidate is someone who is
able to thrive in an unstructured environment and takes automation seriously. You believe there is no task that can’t be automated and no server scale too large. You take pride in optimizing performance at scale in every part of the stack and never manually performing the same task twice.
Responsibilities
● Create tools and processes for deploying and managing hardware for Private Cloud Infrastructure.
● Improve workflows of developer, data, and machine learning teams
● Manage integration and deployment tooling
● Create and maintain monitoring and alerting tools and dashboards for various services, and audit infrastructure
● Manage a diverse array of technology platforms, following best practices and
procedures
● Participate in on-call rotation and root cause analysis
Requirements
● Minimum 5 - 10 years of previous experience working directly with Software
Engineering teams as a developer, DevOps Engineer, or Site Reliability
Engineer.
● Experience with infrastructure as a service, distributed systems, and software design at a high-level.
● Comfortable working on Linux infrastructures (Debian) via the CLIAble to learn quickly in a fast-paced environment.
● Able to debug, optimize, and automate routine tasks
● Able to multitask, prioritize, and manage time efficiently independently
● Can communicate effectively across teams and management levels
● Degree in computer science, or similar, is an added plus!
Technology Stack
● Operating Systems - Linux/Debian Family/Ubuntu
● Configuration Management - Chef
● Containerization - Docker
● Container Orchestrators - Mesosphere/Kubernetes
● Scripting Languages - Python/Ruby/Node/Bash
● CI/CD Tools - Jenkins
● Network hardware - Arista/Cisco/Fortinet
● Hardware - HP/SuperMicro
● Storage - Ceph, S3
● Database - Scylla, Postgres, Pivotal GreenPlum
● Message Brokers: RabbitMQ
● Logging/Search - ELK Stack
● AWS: VPC/EC2/IAM/S3
● Networking: TCP / IP, ICMP, SSH, DNS, HTTP, SSL / TLS, Storage systems,
RAID, distributed file systems, NFS / iSCSI / CIFS
Who we are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the
development of the company.
Thank you for your interest in Hive and we hope to meet you soon
- 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
- Azure Devops - Working experience in Azure yaml pipelines. (Note – Some say they worked in yaml but it’s for Jenkins and not Azure devops)
- Azure – Infrastructure automation using Terraform/ARM templates. (Note – Some say that they worked in terraform but it’s for AWS and not Azure). Please confirm Terraform for Azure infrastructure automation.
- Powershell scripting to automate and deploy .Net applications.









