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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

About the Company:

ConveGenius is a leading Conversational AI company that is democratising educational and knowledge services for the mass market. Their knowledge bots have 35M users today. ConveGenius is building an omniverse on Conversational AI for the developer ecosystem to build together. We are looking for self-driven individuals who love to find innovative solutions and can perform under pressure. An eye for detail and being proud of produced code is the must-have attributes for this job.

About the role: 

At ConveGenius, we are committed to creating an inclusive and collaborative work environment that fosters creativity and innovation. Join our AI Team as Senior AI Engineer with the focus on development of cutting-edge technologies, making a real life difference in the lives of millions of users. You will be involved in a wide range of projects, from designing and building AI capabilities for our swiftchat platform, and analysing large conversation datasets. Innovative nature and proactive involvement in the product is taken very seriously at Convegenius, therefore, a major part of your role would involve thinking about new features and new ways to deliver quality learning experience to our learners.

Responsibilities:

• Develop and implement state-of-the-art NLP, Computer Vision, Speech techniques.
• Collaborate with other AI researchers to develop innovative AI solutions and services to be used to improve our platform capabilities.
• Mentor and lead the experiments with other team members.
• Conduct research and experiments in deep learning, machine learning, and related fields to support the development of AI techniques.

Qualifications:

• Bachelor's or master's degree in Computer Science, Engineering, or a related field with experience in machine learning and data analysis.
• 2-4 years of industry experience in machine learning, with a strong focus on NLP and Computer Vision.
• Hands-on experience of ML model development and deploying.
• Experience working with training and fine-tuning LLM is a plus.
• Experience in audio/speech technologies is a plus.
• Strong programming skills in Python, node.js or other relevant programming languages.
• Familiarity with machine learning libraries, such as TensorFlow, Keras, PyTorch, scikit-learn, Conversational frameworks like Rasa, DialogFlow, Lex, etc.
• Strong analytical and problem-solving skills, with the ability to think out of the box.
• Self-starter with the ability to work independently and in a team environment.

About WeSkill: WeSkill is an early-stage funded EdTech startup. Founded by alums from IIMA, IITB and IITD. We are on a mission to reimagine holistic education for kids in India.

As a Full Stack App Developer, you will:

• Be a core team member and ride alongside the founders in a high-growth journey

• Play the role of a tech-lead on various projects, and establish yourself as an SME in certain areas

• Design, build and maintain high performance, reusable, and reliable code

• Write Unit & UI tests, set up dashboards and alerting, uncover and fix bugs, crashes, and other issues, in order to ensure a robust app

• Analyze and optimize UI and infrastructure application code for quality, efficiency, and performance

• Mentor, coach and develop engineers and lead by example

• Collaborate with Product Designers to deliver compelling consumer-facing products on the Android Platform

We are looking for:

• Minimum experience of 3 years in developing android applications with proficiency in Kotlin/ Flutter
• Strong preference for candidates who've worked for a consumer-facing product company or social media or EdTech company
• Experience in defining system architectures and exploring technical feasibility tradeoffs.
• Have experience with common Android libraries like Retrofit, OkHttp, Picasso, RxJava, Gson, Arch-components, etc.
• Debugging skills, including identifying memory leaks, performance bottlenecks, and using tools like adb, proguard, etc
• Experience with multithreading programming and mobile memory management is a plus

Pay range: Competitive salary with generous ESOP pool

Position: Senior Android Developer

Position: DevOps Engineer

Job Description

The candidate should have the following Skills:

- Hands-on experience with DevOps & CICD open source tools (Jenkins, ), including AWS DevOps services (CodePipeline, CloudFormation, etc).

- Experience in building and deploying using Java/Python/Node.js on Cloud infrastructure (Docker or Kubernetes containers or Lambda.)

- Exposure to Cloud operations, releases, and configuration management

- Experience in implementing Non-functional requirements for microservices, including performance, security, compliance, HA and Disaster Recovery.

- Good soft skills, great attitude, and passion for working in a product startup environment

Total Experience of 2-5 years post BE or BTech or MCA in Computer Science Engineering.

• Design of the overall architecture of the web application.
• Optimization of the application for maximum speed and scalability.
• Solve complex performance problems and architectural challenges.
• Integration of user-facing elements developed by front-end developers with server-side logic.
• Learn and use core AWS technologies to design and then build available and scalable backend web services and customer-facing APIs.
• Troubleshoot and debug support issues and code blues autonomously.
• Assure quality of the solutions being developed within the team.
• Maintain technical mastery of the products being developed.
•  Person with a track record of delivering innovative solutions in the field of algorithm development.

• Strong knowledge of PHP frameworks such as Laravel Symfony etc. depending on your technology stack.
• Experience in working with MySQL database and analyzing the efficiency of queries.
• Worked with real time web applications and event driven architectures like Node.js or jQuery.
• Full-cycle PHP code development experience including debugging and performance analysis.
• Building scalable and performance oriented services with caching techniques and systems like Memcached, redis.
• Experience with NoSQL and distributed database like MongoDB, Cassandra or Redis.
• Comfortable with search engines like Solr or ElasticSearch.
• Working understanding of NGINX and Apache web servers.
• Working knowledge of RESTful paradigms and to build API for our front services and mobile applications.
• Passion for products, empathy for users, and aspiration to make big impact.
• Strong database design and query writing skills with a commitment to performance and efficiency.
• Solid engineering principles and clear understanding of data structures and algorithms.
• Knowledge of service-oriented architecture, microservices, and distributed systems.
• Strong problem-solving skills, algorithmic skills, and data structures.
• Experience in agile methodologies like Scrum.
• Good understanding of branching, build, deployment, continuous integration methodologies.

Looking for a self-driven energetic, focused, result oriented DGM- sales for Noida location. The incumbent should have at least 8 years of experience in selling Digital solution to enterprises in digital agency and enterprises. Candidate should have a successful track record of achieving sales targets.

Must have exposure to interaction with senior-level executives and should have excellent communication & relationship management skills.

• Build up a strong understanding of the Sales process both from a product perspective as well as from a market perspective.

• Developing and maintaining a relationship with clients through ensuring effective account management. Ensuring customer retention through building long-term mutually beneficial relationships with clients.

• Actively seek and enable new revenue opportunities for business enhancement.

• Work with new and existing clients to drive business and revenue through product enhancement and product marketing.