- Sr. Solution Architect
- Job Location – Bangalore
- Need candidates who can join in 15 days or less.
- Overall, 12-15 years of experience.
Looking for this tech stack in a Sr. Solution Architect (who also has a Delivery Manager background). Someone who has heavy business and IT stakeholder collaboration and negotiation skills, someone who can provide thought leadership, collaborate in the development of Product roadmaps, influence decisions, negotiate effectively with business and IT stakeholders, etc.
- Building data pipelines using Azure data tools and services (Azure Data Factory, Azure Databricks, Azure Function, Spark, Azure Blob/ADLS, Azure SQL, Snowflake..)
- Administration of cloud infrastructure in public clouds such as Azure
- Monitoring cloud infrastructure, applications, big data pipelines and ETL workflows
- Managing outages, customer escalations, crisis management, and other similar circumstances.
- Understanding of DevOps tools and environments like Azure DevOps, Jenkins, Git, Ansible, Terraform.
- SQL, Spark SQL, Python, PySpark
- Familiarity with agile software delivery methodologies
- Proven experience collaborating with global Product Team members, including Business Stakeholders located in NA
Shubham Vishwakarma
Full Stack Developer - Averlon
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Position: Oracle DBA
Experience: 6–8 Years
Key Responsibilities:
- Install, configure, and maintain Oracle databases in production and non-production environments.
- Perform database tuning, backups, and recovery.
- Monitor database performance and implement improvements.
- Ensure data security and compliance with audit requirements.
- Handle upgrades and patching of database environments.
Skills Required:
- Strong experience with Oracle 11g/12c/19c.
- Hands-on with RMAN, Data Guard, and Oracle RAC.
- Proficient in writing complex SQL and PL/SQL.
- Oracle Certified Professional (OCP) preferred.
Amazon Web Services (AWS)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
PythonJOB DETAILS:
* Job Title: DevOps Engineer (Azure)
* Industry: Technology
* Salary: Best in Industry
* Experience: 2-5 years
* Location: Bengaluru, Koramangala
Review Criteria
- Strong Azure DevOps Engineer Profiles.
- Must have minimum 2+ years of hands-on experience as an Azure DevOps Engineer with strong exposure to Azure DevOps Services (Repos, Pipelines, Boards, Artifacts).
- Must have strong experience in designing and maintaining YAML-based CI/CD pipelines, including end-to-end automation of build, test, and deployment workflows.
- Must have hands-on scripting and automation experience using Bash, Python, and/or PowerShell
- Must have working knowledge of databases such as Microsoft SQL Server, PostgreSQL, or Oracle Database
- Must have experience with monitoring, alerting, and incident management using tools like Grafana, Prometheus, Datadog, or CloudWatch, including troubleshooting and root cause analysis
Preferred
- Knowledge of containerisation and orchestration tools such as Docker and Kubernetes.
- Knowledge of Infrastructure as Code and configuration management tools such as Terraform and Ansible.
- Preferred (Education) – BE/BTech / ME/MTech in Computer Science or related discipline
Role & Responsibilities
- Build and maintain Azure DevOps YAML-based CI/CD pipelines for build, test, and deployments.
- Manage Azure DevOps Repos, Pipelines, Boards, and Artifacts.
- Implement Git branching strategies and automate release workflows.
- Develop scripts using Bash, Python, or PowerShell for DevOps automation.
- Monitor systems using Grafana, Prometheus, Datadog, or CloudWatch and handle incidents.
- Collaborate with dev and QA teams in an Agile/Scrum environment.
- Maintain documentation, runbooks, and participate in root cause analysis.
Ideal Candidate
- 2–5 years of experience as an Azure DevOps Engineer.
- Strong hands-on experience with Azure DevOps CI/CD (YAML) and Git.
- Experience with Microsoft Azure (OCI/AWS exposure is a plus).
- Working knowledge of SQL Server, PostgreSQL, or Oracle.
- Good scripting, troubleshooting, and communication skills.
- Bonus: Docker, Kubernetes, Terraform, Ansible experience.
- Comfortable with WFO (Koramangala, Bangalore).
Amazon Web Services (AWS)Job Summary:
Seeking a seasoned SQL + ETL Developer with 4+ years of experience in managing large-scale datasets and cloud-based data pipelines. The ideal candidate is hands-on with MySQL, PySpark, AWS Glue, and ETL workflows, with proven expertise in AWS migration and performance optimization.
Key Responsibilities:
- Develop and optimize complex SQL queries and stored procedures to handle large datasets (100+ million records).
- Build and maintain scalable ETL pipelines using AWS Glue and PySpark.
- Work on data migration tasks in AWS environments.
- Monitor and improve database performance; automate key performance indicators and reports.
- Collaborate with cross-functional teams to support data integration and delivery requirements.
- Write shell scripts for automation and manage ETL jobs efficiently.
Required Skills:
- Strong experience with MySQL, complex SQL queries, and stored procedures.
- Hands-on experience with AWS Glue, PySpark, and ETL processes.
- Good understanding of AWS ecosystem and migration strategies.
- Proficiency in shell scripting.
- Strong communication and collaboration skills.
Nice to Have:
- Working knowledge of Python.
- Experience with AWS RDS.
Docker
KubernetesAmazon Web Services (AWS)LogiNext is looking for a technically savvy and passionate DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.
You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.
Responsibilities:
Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 2 to 4 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills
KubernetesDockerAmazon Web Services (AWS)Looking for an experienced candidate with strong development and programming experience, knowledge preferred-
- Cloud computing (i.e. Kubernetes, AWS, Google Cloud, Azure)
- Coming from a strong development background and has programming experience with Java and/or NodeJS (other programming languages such as Groovy/python are a big bonus)
- Proficient with Unix systems and bash
- Proficient with git/GitHub/GitLab/bitbucket
Desired skills-
- Docker
- Kubernetes
- Jenkins
- Experience in any scripting language (Phyton, Shell Scripting, Java Script)
- NGINX / Load Balancer
- Splunk / ETL tools
KubernetesDocker|
Numerator is looking for an experienced, talented and quick-thinking DevOps Manager to join our team and work with the Global DevOps groups to keep infrastructure up to date and continuously advancing. This is a unique opportunity where you will get the chance to work on the infrastructure of both established and greenfield products. Our technology harnesses consumer-related data in many ways including gamified mobile apps, sophisticated web crawling and enhanced Deep Learning algorithms to deliver an unmatched view of the consumer shopping experience. As a member of the Numerator DevOps Engineering team, you will make an immediate impact as you help build out and expand our technology platforms from on-premise to the cloud across a wide range of software ecosystems. Many of your daily tasks and engagement with applications teams will help shape how new projects are delivered at scale to meet our clients demands. This role requires a balance between hands-on infrastructure-as-code deployments with application teams as well as working with Global DevOps Team to roll out new initiatives. What you will get to do
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KubernetesAmazon Web Services (AWS)JOB DETAILS
What You'll Do
Amazon Web Services (AWS)
Git● Building and managing multiple application environments on AWS using automation tools like Terraform or
Cloudformation etc.
● Deploy applications with zero downtime via automation with configuration management tools such as Ansible.
● Setting up Infrastructure monitoring tools such as Prometheus, Grafana
● Setting up centralised logging using tools such as ELK.
● Containerisation of applications/microservices.
● Ensure application availability to 99.9% with highly available infrastructure.
● Monitoring performance of applications and databases.
● Ensuring that systems are safe and secure against cyber security threats.
● Working with software developers to ensure that release cycle and deployment processes are followed.
● Evaluating existing applications and platforms, give recommendations for enhancing performance via gap analysis,
identifying the most practical alternative solutions and assisting with modifications.
Skills -
● Strong knowledge of AWS Managed Services such as EC2, RDS, ECS, ECR, S3, Cloudfront, SES, Redshift, Elastic Cache,
AMQP etc.
● Experience in handling production workloads.
● Experience with Nginx web server.
● Experience with NoSql and Sql Databases such as MongoDB, Postgresql etc.
● Experience with Containerisation of applications/micro services using Docker.
● Understanding of system administration in Linux environments.
● Strong Knowledge of Infrastructure as a Code such as Terraform, Cloudformation etc.
● Strong knowledge of configuration management tools such as Ansible, Chef etc.
● Familiarity with tools such as GitLab, Jenkins, Vercel, JIRA etc.
● Proficiency in scripting languages including Bash, Python etc.
● Full understanding of software development lifecycle best practices and agile methodology
● Strong communication and documentation skills.
● An ability to drive to goals and milestones while valuing and maintaining a strong attention to detail
● Excellent judgment, analytical thinking, and problem-solving skills
● Self-motivated individual that possesses excellent time management and organizational skills
DockerKubernetes
Ruby on Rails (ROR)Role : DevOps Engineer
Experience : 1 to 2 years and 2 to 5 Years as DevOps Engineer (2 Positions)
Location : Bangalore. 5 Days Working.
Education Qualification : Tech/B.E for Tier-1/Tier-2/Tier-3 Colleges or equivalent institutes
Skills :- DevOps Engineering, Ruby On Rails or Python and Bash/Shell skills, Docker, rkt or similar container engine, Kubernetes or similar clustering solutions
As 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.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon