
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

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Required:
-4 to 10 years of relevant experience in Devops
-Must have hands on experience on AWS, Kubernetes, CI/CD pipeline
-Good to have exposure on Github or Gitlab
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Company profile:
Company Name : Wissen Technology
Group of companies in India : Wissen Technology & Wissen Infotech
Work Location - Chennai
Website : www.wissen.com
Wissen Thought leadership : https://lnkd.in/gvH6VBaU
LinkedIn: https://lnkd.in/gnK-vXjF
Overview
adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.
Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.
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We are seeking a hands-on leader who thrives in both team management and operational development. Whether you have experience in DevOps and Backend or Frontend, your expertise in both leadership and technical skills will be key to success in this position.
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Proficient in ITIL service management frameworks.
Strong analytical and problem-solving abilities.
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Communication: Excellent communication, presentation, and interpersonal skills, with the ability to engage and collaborate with stakeholders.
Language: English on a C2 Level.
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Exp:7+ years
Location: Chennai
Key skills: DevOps, Cloud, Python scripting
Description:
Strong analytical and problem-solving skills
Ability to work independently, learn quickly and be proactive
7-9 years overall and at least 3-4 years of hands-on experience in designing and managing DevOps Cloud infrastructure
Experience must include a combination of:
o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)
o Ability to write and maintain code in at least one scripting language (Python preferred)
o Practical knowledge of shell scripting
o Cloud knowledge – AWS, VMware vSphere
o Good understanding and familiarity with Linux o Networking knowledge – Firewalls, VPNs, Load Balancers o Web/Application servers, Nginx, JVM environments
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o Familiarity with logging systems - Logstash, Elasticsearch, Kibana o Git, Jenkins, Jira
If interested kindly apply!
environments: AWS / Azure / GCP
• Must have strong work experience (2 + years) developing IaC (i.e. Terraform)
• Must have strong work experience in Ansible development and deployment.
• Bachelor’s degree with a background in math will be a PLUS.
• Must have 8+ years experience with a mix of Linux and Window systems in a medium to large business
environment.
• Must have command level fluency and shell scripting experience in a mix of Linux and Windows
environments.
•
• Must enjoy the experience of working in small, fast-paced teams
• Identify opportunities for improvement in existing process and automate the process using Ansible Flows.
• Fine tune performance and operation issues that arise with Automation flows.
• Experience administering container management systems like Kubernetes would be plus.
• Certification with Red Hat or any other Linux variant will be a BIG PLUS.
• Fluent in the use of Microsoft Office Applications (Outlook / Word / Excel).
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Hiring for a funded fintech startup based out of Bangalore!!!
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Requirements
- 5-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.
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- Experience working with and supporting Spark-based applications on YARN
- Experience with one or more automation tools such as Ansible, Teraform, 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
Desired Non-technical Requirements
- Very strong communication skills both written and verbal
- Strong desire to work with start-ups
- Must be a team player
Job Perks
- Attractive variable compensation package
- Flexible working hours – everything is results-oriented
- Opportunity to work with an award-winning organization in the hottest space in tech – artificial intelligence and advanced machine learning
Responsibilities
● Be a hands-on engineer, ensure frameworks/infrastructure built is well designed,
scalable & are of high quality.
● Build and/or operate platforms that are highly available, elastic, scalable, operable and
observable.
● Build/Adapt and implement tools that empower the TI AI engineering teams to
self-manage the infrastructure and services owned by them.
● You will identify, articulate, and lead various long-term tech vision, strategies,
cross-cutting initiatives and architecture redesigns.
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Troubleshooting techniques and fixing the code bugs
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Coordination and communication within the team and with customers
Selecting and deploying appropriate CI/CD tools
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Mentoring and guiding the team members
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Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech
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AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We
are one of the top & the fastest growing partners for Google Cloud and AWS globally with
over 2,500 clients successfully moved to cloud.
What we believe?
1. Best practices are overrated
○ Implementing best practices can only make one n ‘average’ .
2. Honesty and Transparency
○ We believe in naked truth. We do what we tell and tell what we do.
3. Client Partnership
○ Client - Vendor relationship: No. We partner with clients instead.
○ And our sales team comprises 100% of our clients.
How we work?
It’s all about being Happier first. And rest follows. Searce work culture is defined by
HAPPIER.
1. Humble: Happy people don’t carry ego around. We listen to understand; not to
respond.
2. Adaptable: We are comfortable with uncertainty. And we accept changes well. As
that’s what life's about.
3. Positive: We are super positive about work & life in general. We love to forget and
forgive. We don’t hold grudges. We don’t have time or adequate space for it.
4. Passionate: We are as passionate about the great street-food vendor across the
street as about Tesla’s new model and so on. Passion is what drives us to work and
makes us deliver the quality we deliver.
5. Innovative: Innovate or Die. We love to challenge the status quo.
6. Experimental: We encourage curiosity & making mistakes.
7. Responsible: Driven. Self motivated. Self governing teams. We own it.
Are you the one? Quick self-discovery test:
1. Love for cloud: When was the last time your dinner entailed an act on “How would
‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did
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2. Passion for sales: When was the last time you went at a remote gas station while on
vacation, and ended up helping the gas station owner saasify his 7 gas stations
across other geographies.
3. Compassion for customers: You listen more than you speak. When you do speak,
people feel the need to listen.
4. Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can
attempt to take humanity to Mars, why can’t we take your business to run on cloud ?
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This position will be responsible to consult with clients and propose architectural solutions
to help move & improve infra from on-premise to cloud or help optimize cloud spend from
one public cloud to the other.
1. Be the first one to experiment on new age cloud offerings, help define the best
practise as a thought leader for cloud, automation & Dev-Ops, be a solution
visionary and technology expert across multiple channels.
2. Continually augment skills and learn new tech as the technology and client needs
evolve
3. Use your experience in Google cloud platform, AWS or Microsoft Azure to build
hybrid-cloud solutions for customers.
4. Provide leadership to project teams, and facilitate the definition of project
deliverables around core Cloud based technology and methods.
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deliver quality results.
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8. Security, Risk and Compliance - Advise customers on best practices around access
management, network setup, regulatory compliance and related areas.
Accomplishment Set
● Passionate, persuasive, articulate Cloud professional capable of quickly establishing
interest and credibility
● Good business judgment, a comfortable, open communication style, and a
willingness and ability to work with customers and teams.
● Strong service attitude and a commitment to quality.
● Highly organised and efficient.
● Confident working with others to inspire a high-quality standard.
Education, Experience, etc.
1. Is Education overrated? Yes. We believe so. However there is no way to locate you
otherwise. So unfortunately we might have to look for a Bachelor's or Master's
degree in engineering from a reputed institute or you should be programming from
12. And the latter is better. We will find you faster if you specify the latter in some
manner. Not just degree, but we are not too thrilled by tech certifications too ... :)
2. To reiterate: Passion to tech-awesome, insatiable desire to learn the latest of the
new-age cloud tech, highly analytical aptitude and a strong ‘desire to deliver’ outlives
those fancy degrees!
3. 1 - 5 years of experience with at least 2 - 3 years of hands-on experience in Cloud
Computing (AWS/GCP/Azure) and IT operational experience in a global enterprise
environment.
4. Good analytical, communication, problem solving, and learning skills.
5. Knowledge on programming against cloud platforms such as Google Cloud Platf










