DevOps Engineer

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

Position - SRE developer / DevOps Engineer

Location - Mumbai

Experience- 3- 10 years

About HaystackAnalytics:

HaystackAnalytics is a company working in deep technology of genomics, computing and data science for creating the first of its kind clinical reporting engine in Healthcare. We are a new but well funded company with a tremendous amount of pedigree in the team (IIT Founders, IIT & IIM core team). Some of the technologies we have created are a global first in infectious disease and chronic diagnostics. As a product company creating a huge amount of IP, our Technology and R&D team are our crown jewels. With early success of our products in India, we are now expanding to take our products to international shores. 

Inviting Passionate Engineers to join a new age enterprise:  

At HaystackAnalytics, we rely on our dynamic team of engineers to solve the many challenges and puzzles that come with our rapidly evolving stack that deals with Healthcare and Genomics.

We’re looking for full stack engineers who are passionate problem solvers, ready to work with new technologies and architectures in a forward-thinking organization that’s always pushing boundaries. Here, you will take complete, end-to-end ownership of projects across the entire stack. 

Our ideal candidate has experience building enterprise products and has understanding and experience of working with new age front end technologies, web frameworks, APIs, databases, distributed computing,back end languages, caching, security, message based architectures et al.

You’ll be joining a small team working at the forefront of new technology, solving the challenges that impact both the front end and back end architecture, and ultimately, delivering amazing global user experiences.

Objectives of this Role:

• Work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth
• Ideate and develop new product features in collaboration with domain experts in healthcare and genomics 
• Develop state of the art enterprise standard front-end and backend services
• Develop cloud platform services based on container orchestration platform 
• Continuously embrace automation for repetitive tasks
• Ensure application performance, uptime, and scale, maintaining high standards of code quality by using clean coding principles and solid design patterns 
• Build robust tech modules that are Unit Testable, Automating recurring tasks and processes  
• Engage effectively with team members and collaborate to upskill and unblock each other

Frontend Skills 

• HTML 5  
• CSS framework ( LESS/ SASS ) 
• Es6 / Typescript 
• Electron app / TAURI
• Component library ( Webcomponents / radix / material ) 
• CSS ( tailwind) 
• State management --> Redux / Zustand / Recoil 
• Build tools - > (webpack/vite/Parcel/turborepo)
• Frameworks -- > Next JS / 
• Design patterns 
• Test Automation Frameworks (cypress playwright etc )
• Functional Programming concepts  
• Scripting ( bash , python )

Backend Skills 

1. Node / Deno / bun - Express / NEST JS 
2. Language : Typescript / Python / Rust / 
3. REST / GRAPHQL 
4. SOLID Design Principles
5. Storage (mongodb/ Object Storage / postgres ) 
6. Caching ( Redis / In memory Data grid )
7. Pub sub (KAFKA / SQS / SNS / Event bridge / RabbitMQ) 
8. Container Technology ( Docker / Kubernetes )  
9. Cloud ( azure , aws , openshift ) 
10. GITOPS 
11. Automation ( terraform , Serverless ) 

Other Skills 

• Innovation and thought leadership
• UI - UX design skills  
• Interest in learning new tools, languages, workflows, and philosophies to grow
• Communication 

Position Summary

Cloud Engineer helps to solutionize, enable, migrate and onboard clients to a secure cloud
platform, which offload the heavy lifting for the clients so that they can focus on their own business
value creation.

Job Description

• Assessing existing customer systems and/or cloud environment to determine the best migration approach and supporting tools used
• Build a secure and compliant cloud environment, with a proven enterprise operating model, on-going cost optimisation, and day-to-day infrastructure management
• Provide and implement cloud solutions to reduce operational overhead and risk, and automates common activities, such as change requests, monitoring, patch management, security, and backup services, and provides full-lifecycle services to provision, run, and support their infrastructure
• Collaborate with internal service teams to meet the clients’ needs for their infrastructure and application deployments
• Troubleshoot complex infrastructure deployments, recreate customer issues, and build proof of concept environments that abide by cloud-best-practices & well architecture frameworks
• Apply advanced troubleshooting techniques to provide unique solutions to our customers’ individual needs
• Work on critical, highly complex customer problems that will span across multiple cloud platforms and services
• Identify and drive improvements on process and technical related issues. Act as an escalation point of contact for the clients
• Drive clients meetings & communication during reviews

Requirement:

• Degree in computer science or a similar field.
• At least 2 year of experience in the field of cloud computing.
• Experience with CI/CD systems.
• Strong in Cloud services
• Exposure to AWS/GCP and other cloud-based infrastructure platforms
• Experience with AWS configuration and management – EC2, S3, EBS, ELB, IAM, VPC, RDS, CloudFront etc
• Exposure in architecting, designing, developing, and implementing cloud solutions on AWS platforms or other cloud server such as Azure, Google Cloud
• Proficient in the use and administration of all versions of MS Windows Server
• Experience with Linux and Windows system administration and web server configuration and monitoring
• Solid programming skills in Python, Java, Perl
• Good understanding of software design principles and best practices
• Good knowledge of REST APIs
• Should have hands-on experience in any deployment orchestration tool (Jenkins, Urbancode, Bamboo, etc.)
• Experience with Docker, Kubernetes, and Helm charts
• Hands on experience in Ansible and Git repositories
• Knowledge in Maven / Gradle
• Azure, AWS, and GCP certifications are preferred.
• Troubleshooting and analytical skills.
• Good communication and collaboration skills.

We are looking for candidates that have experience in development and have performed CI/CD based projects. Should have a good hands-on Jenkins Master-Slave architecture, used AWS native services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline. Should have experience in setting up cross platform CI/CD pipelines which can be across different cloud platforms or on-premise and cloud platform.

Job Description:

• Hands on with AWS (Amazon Web Services) Cloud with DevOps services and CloudFormation.
• Experience interacting with customer.
• Excellent communication.
• Hands-on in creating and managing Jenkins job, Groovy scripting.
• Experience in setting up Cloud Agnostic and Cloud Native CI/CD Pipelines.
• Experience in Maven.
• Experience in scripting languages like Bash, Powershell, Python.
• Experience in automation tools like Terraform, Ansible, Chef, Puppet.
• Excellent troubleshooting skills.
• Experience in Docker and Kuberneties with creating docker files.
• Hands on with version control systems like GitHub, Gitlab, TFS, BitBucket, etc.

• Lead, inspire, and influence to make sure your team is successful
• Partner with the recruiting team to attract and retain high-quality and diverse talent
• Establish great rapport with other development teams, Product Managers, Sales, and Customer Success to maintain high levels of visibility, efficiency, and collaboration
• Ensure teams have appropriate technical direction, leadership, and balance between short-term impact and long-term architectural vision.
• Occasionally contributing to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical acumen sharp

You'll need:

• BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams
• Strong fundamentals in distributed systems design and development
• Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management
• Experience running production services in Public Clouds such as AWS, GCP, and Azure
• Experience with running large stateful data systems in the Cloud
• Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization, orchestration, elastic scalability)
• A great track record of shipping features and hitting deadlines consistently; should be able to move fast, build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them
• Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team

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.