Flutter

We are seeking a Senior Android DevOps Engineer with 4+ years of specialized experience in mobile engineering pipelines. In this role, you will own, scale, and optimize our Android continuous integration and deployment (CI/CD) infrastructure. You will work closely with mobile development and QA teams to accelerate release cycles, ensure tight build security, and automate the journey from local code commit to the Google Play Store.

Key Responsibilities

1. ● Own CI/CD Infrastructure: Build, maintain, and scale robust mobile-specific CI/CD pipelines using platforms like Bitrise, GitHub Actions, or GitLab CI.
2. ● Automate Release Workflows: Design and implement end-to-end automation for Android builds (APK/AAB), test execution, and deployment using Fastlane and Gradle.
3. ● Manage Store Deployment: Oversee and automate app distribution via the Google Play Console, managing internal, closed testing, and production rollouts.
4. ● Secure Code Signing: Maintain the integrity of Android keystores, API keys, and certificates using secure secrets management tools.
5. ● Optimize Build Performance: Monitor and actively reduce build times, resolve dependency caching issues, and ensure infrastructure cost efficiency.
6. ● Quality & Observability Integration: Embed automated UI/unit testing (Espresso, Appium) and crash/performance tracking tools (Firebase Crashlytics, Sentry) directly into the pipeline.

Required Skills & Qualifications

1. ● Experience: 4+ years of dedicated experience in Mobile DevOps, Release Engineering, or Android Development with a heavy focus on infrastructure.
2. ● Build Systems: Deep, hands-on expertise with Gradle, ProGuard/R8, and the Android SDK.
3. ● Automation Tools: Advanced proficiency with Fastlane and scripting languages like Bash, Python, or Groovy.
4. ● Version Control: Solid understanding of version control best practices and Git branching strategies (e.g., Gitflow, Trunk-based development).
5. ● Problem Solving: Ability to diagnose and resolve build/environment issues independently.
6. ● Cloud & Containers: Solid understanding of Docker, cloud runners (AWS/GCP), and infrastructure as code.

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

Position: SDE-1 DevSecOps

Location: Pune, India

Experience Required: 0+ Years

We are looking for a DevSecOps engineer to contribute to product development, mentor team members, and devise creative solutions for customer needs. We value effective communication in person, in documentation, and in code. Ideal candidates thrive in small, collaborative teams, love making an impact, and take pride in their work with a product-focused, self-driven approach. If you're passionate about integrating security and deployment seamlessly into the development process, we want you on our team.

About FlytBase

FlytBase is a global leader in enterprise drone software automation. FlytBase platform is enabling drone-in-a-box deployments all across the globe and has the largest network of partners in 50+ countries.

The team comprises young engineers and designers from top-tier universities such as IIT-B, IIT-KGP, University of Maryland, Georgia Tech, COEP, SRM, KIIT and with deep expertise in drone technology, computer science, electronics, aerospace, and robotics.

The company is headquartered in Silicon Valley, California, USA, and has R&D offices in Pune, India. Widely recognized as a pioneer in the commercial drone ecosystem, FlytBase continues to win awards globally - FlytBase was the Global Grand Champion at the ‘NTT Data Open Innovation Contest’ held in Tokyo, Japan, and was the recipient of ‘ TiE50 Award’ at TiE Silicon Valley.

Role and Responsibilities:

• Participate in the creation and maintenance of CI/CD solutions and pipelines.
• Leverage Linux and shell scripting for automating security and system updates, and design secure architectures using AWS services (VPC, EC2, S3, IAM, EKS/Kubernetes) to enhance application deployment and management.
• Build and maintain secure Docker containers, manage orchestration using Kubernetes, and automate configuration management with tools like Ansible and Chef, ensuring compliance with security standards.
• Implement and manage infrastructure using Terraform, aligning with security and compliance requirements, and set up Dynatrace for advanced monitoring, alerting, and visualization of security metrics. Develop Terraform scripts to automate and optimize infrastructure provisioning and management tasks.
• Utilize Git for secure source code management and integrate continuous security practices into CI/CD pipelines, applying vulnerability scanning and automated security testing tools.
• Contribute to security assessments, including vulnerability and penetration testing, NIST, CIS AWS, NIS2 etc.
• Implement and oversee compliance processes for SOC II, ISO27001, and GDPR.
• Stay updated on cybersecurity trends and best practices, including knowledge of SAST and DAST tools, OWASP Top10.
• Automate routine tasks and create tools to improve team efficiency and system robustness.
• Contribute to disaster recovery plans and ensure robust backup systems are in place.
• Develop and enforce security policies and respond effectively to security incidents.
• Manage incident response protocols, including on-call rotations and strategic planning.
• Conduct post-incident reviews to prevent recurrence and refine the system reliability framework.
• Implementing Service Level Indicators (SLIs) and maintaining Service Level Objectives (SLOs) and Service Level Agreements (SLAs) to ensure high standards of service delivery and reliability.

Best suited for candidates who: (Skills/Experience)

• Up to 4 years of experience in a related field, with a strong emphasis on learning and execution.
• Background in IT or computer science.
• Familiarity with CI/CD tools, cloud platforms (AWS, Azure, or GCP), and programming languages like Python, JavaScript, or Ruby.
• Solid understanding of network layers and TCP/IP protocols.
• In-depth understanding of operating systems, networking, and cloud services.
• Strong problem-solving skills with a 'hacker' mindset.
• Knowledge of security principles, threat modeling, risk assessment, and vulnerability management is a plus. 
• Relevant certifications (e.g., CISSP, GWAPT, OSCP) are a plus.

Compensation: 

This role comes with an annual CTC that is market competitive and depends on the quality of your work experience, degree of professionalism, culture fit, and alignment with FlytBase’s long-term business strategy.

Perks:

• Fast-paced Startup culture
• Hacker mode environment
• Enthusiastic and approachable team
• Professional autonomy
• Company-wide sense of purpose
• Flexible work hours
• Informal dress code

• Install, configure, and maintain Kubernetes clusters.
• Develop Kubernetes-based solutions.
• Improve Kubernetes infrastructure.
• Work with other engineers to troubleshoot Kubernetes issues.

• Kubernetes administration experience, including installation, configuration, and troubleshooting
• Kubernetes development experience
• Linux/Unix experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

DevOps Consultant 

Work Timings: 6.30 AM IST – 3.30 PM IST ( HKT 9.00 AM – 6.00 PM)

Key Skills / Requirements:

• Mandatory
• Integrating Jenkins pipelines with Terraform and Kubernetes
• Writing Jenkins JobDSL and Jenkinsfiles using Groovy
• Automation and integration with AWS using Python and AWS CLI
• Writing ad-hoc automation scripts using Bash and Python
• Configuring container-based application deployment to Kubernetes
• Git and branching strategies
• Integration of tests in pipelines
• Build and release management
• Deployment strategies (eg. canary, blue/green)
• TLS/SSL certificate management
• Beneficial
• Service Mesh
• Deployment of Java Spring Boot based applications
• Automated credential rotation using AWS Secrets Manager
• Log management and dashboard creation using Splunk
• Application monitoring using AppDynamics

If Your profile matches the requirements share your resume at anitha.katintuitvedotcloud

Regards,
Anitha. K
TAG Specialist

Kutumb is the first and largest communities platform for Bharat. We are growing at an exponential trajectory. More than 1 Crore users use Kutumb to connect with their community. We are backed by world-class VCs and angel investors. We are growing and looking for exceptional Infrastructure Engineers to join our Engineering team.

More on this here - https://kutumbapp.com/why-join-us.html">https://kutumbapp.com/why-join-us.html

We’re excited if you have:

• Recent experience designing and building unified observability platforms that enable companies to use the sometimes-overwhelming amount of available data (metrics, logs, and traces) to determine quickly if their application or service is operating as desired
• Expertise in deploying and using open-source observability tools in large-scale environments, including Prometheus, Grafana, ELK (ElasticSearch + Logstash + Kibana), Jaeger, Kiali, and/or Loki
• Familiarity with open standards like OpenTelemetry, OpenTracing, and OpenMetrics
• Familiarity with Kubernetes and Istio as the architecture on which the observability platform runs, and how they integrate and scale. Additionally, the ability to contribute improvements back to the joint platform for the benefit of all teams
• Demonstrated customer engagement and collaboration skills to curate custom dashboards and views, and identify and deploy new tools, to meet their requirements
• The drive and self-motivation to understand the intricate details of a complex infrastructure environment 
• Using CICD tools to automatically perform canary analysis and roll out changes after passing automated gates (think Argo & keptn)
• Hands-on experience working with AWS 
• Bonus points for knowledge of ETL pipelines and Big data architecture
• Great problem-solving skills & takes pride in your work
• Enjoys building scalable and resilient systems, with a focus on systems that are robust by design and suitably monitored
• Abstracting all of the above into as simple of an interface as possible (like Knative) so developers don't need to know about it unless they choose to open the escape hatch

What you’ll be doing:

• Design and build automation around the chosen tools to make onboarding new services easy for developers (dashboards, alerts, traces, etc)
• Demonstrate great communication skills in working with technical and non-technical audiences
• Contribute new open-source tools and/or improvements to existing open-source tools back to the CNCF ecosystem

Tools we use:

Kops, Argo, Prometheus/ Loki/ Grafana, Kubernetes, AWS, MySQL/ PostgreSQL, Apache Druid, Cassandra, Fluentd, Redis, OpenVPN, MongoDB, ELK

What we offer:

• High pace of learning
• Opportunity to build the product from scratch
• High autonomy and ownership
• A great and ambitious team to work with
• Opportunity to work on something that really matters
• Top of the class market salary and meaningful ESOP ownership

• Essentail Skills:
• Docker
• Jenkins
• Python dependency management using conda and pip

• Base Linux System Commands, Scripting
• Docker Container Build & Testing
• Common knowledge of minimizing container size and layers
• Inspecting containers for un-used / underutilized systems
• Multiple Linux OS support for virtual system

• Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
• Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
• Jenkins PIpeline
• Github API Understanding to trigger builds, tags, releases
• Artifactory Experience
• Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)

We are front runners of the technological revolution with an inexhaustible passion for technology! DevOn is the technical organization that originated from Prowareness. We are the company at the forefront of leading DevOps transformations and setting up High Performance Distributed DevOps teams with leading companies worldwide. DevOn helps market leaders to take the next step in software delivery. We consist of a dynamic team, in which personal growth is central!

About You

You have 6+ years of experience in AWS infra Automation. This is a fantastic opportunity to work in a fast-paced operations environment and to develop your career in Cloud technologies, particularly Amazon Web Services.

You are building and monitoring CI/CD pipeline in AWS cloud. This is a highly scalable backend application building on Java platform. We need a resource who can troubleshoot, diagnose and rectify system service issues.

You’re cloud native with Terraform as an orchestration. You would use Terraform as a key Orchestration in Infrastructure as Code.

You're comfortable driving. You prefer to own your work streams and enjoy working in autonomy to progress towards your goals.

 You provide an incredible support to the team. You sweat the small stuff but keep the big picture in mind. You know that a pair programming can give better result

An ideal candidate is/are:

This is a key role within our DevOps team and will involve working as part of a collaborative agile team in a shared services DevOps organization to support and deliver innovative technology solutions that directly align with the delivery of business value and enhanced customer experience. The primary objective is to provide support to Amazon Web Services hosted environment, ensure continuous availability, working closely with development teams to ensure best value for money, and effective estate management.

• Setup CI/CD Pipeline from scratch along with integration of appropriate quality gates.
• Expertise level knowledge in AWS cloud. Provision and configure infrastructure as code using Terraform
• Build and configure Kubernetes-based infrastructure, networking policies, LBs, and cluster security. Define autoscaling and cost strategies.
• Automate the build of containerized systems with CI/CD tooling, Helm charts, and more
• Manage deployments and rollbacks of applications
• Implement monitoring and metrics with Cloud watch, Newrelic
• Troubleshoot and optimize containerized workload deployments for clients
• Automate operational tasks, and assist in the transition to service ownership models.