Associate Engineering manager

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

• Candidates from D2C, Ecommerce or FMCG industry are only applicable.
• Candidate must have proven expertise in Meta Ads and Google Ads.
• Candidate should have strong understanding of Digital Marketing funnels, paid media KPIs, etc.
• Candidate should be proficient in using tools like Shopify, Gsheets, MS Excel and GA4, etc.
• Candidate should have experience in A/B testing, audience targeting, creatives, and bidding strategy optimization.

Job Title: Business Development Manager / Executive – Blockchain & Web3

Location: Sector 18, Noida (Onsite)

Working Days: 6 Days (Saturday WFH)

Experience: 3+ Years

Industry: Blockchain / Web3 / Emerging Technologies

About the Company

We are a forward-thinking blockchain solutions organization focused on driving digital transformation through decentralized technologies. We collaborate with startups, enterprises, and investors to design and implement blockchain-powered solutions that unlock new opportunities in the digital economy.

Role Overview

We are seeking a passionate and dynamic Business Development Manager / Executive who understands the evolving landscape of Blockchain, Web3, and Crypto technologies. The ideal candidate will be responsible for expanding the client base, forging strategic partnerships, and positioning the company as a leader in blockchain-driven financial innovation.

Key Responsibilities

• Identify, develop, and convert new business opportunities within the Blockchain / Web3 / Crypto ecosystem.
• Build and nurture strong, long-term relationships with clients, investors, startups, and enterprise partners.
• Collaborate with internal technical and marketing teams to align business strategies with client needs.
• Lead client meetings, presentations, and pitches to showcase blockchain-based products and investment solutions.
• Monitor industry trends, competitor offerings, and regulatory updates to identify new growth avenues.
• Drive revenue growth through new client acquisition and partnership development.
• Represent the company at blockchain conferences, Web3 summits, and online communities.

Required Skills & Qualifications

• 3+ years of experience in Business Development / Sales within Blockchain, Web3, FinTech, or SaaS domains.
• Strong understanding of blockchain fundamentals — DeFi, NFTs, Smart Contracts, Layer 1/Layer 2 protocols, and crypto investment products.
• Proven track record of closing high-value deals and achieving sales targets.
• Excellent communication, negotiation, and relationship management skills.
• Comfortable working in a dynamic, fast-paced blockchain startup environment.
• Proficiency in using CRM tools and digital outreach strategies.

Good to Have

• Experience engaging with international blockchain clients or investor communities.
• Existing professional network within the Web3 / Crypto ecosystem.
• Awareness of blockchain compliance, tokenomics, or DeFi models.

Job profile: Product Manager

The ideal candidate is an analytical team player who will be responsible for leading a team of high performing individuals who own the entire product lifecycle from strategy to evaluation. You will also work cross-functionally to complete product roadmaps and discover new opportunities. 

Responsibilities:

• Create business models and analyse competitive landscape.
• Develop and monitor data-driven analytics.
• Mentor employees to help them achieve individual & team objectives.
• Work with the lead product manager, key stakeholders and a cross-functional team to assist with new product releases, including product launch deliverables.
• Work with sales and partners to strengthen offerings.
• Define the product requirements and manage aspects of the offering roadmap.
• Develop and coordinate enablement assets for sales and partners.
• Work with industry analysts, partners, and customers to gather and validate market requirements, understand pain points, address RFEs, and evangelizing the product roadmap and vision.

Qualifications:

• Bachelor's degree or equivalent 3+ years of experience in Product Management, Engineering, or Consulting.
• Strong written, verbal and collaboration skills.

We are looking for a Senior Microsoft SQL Developer to design, develop, test, plan, implement and maintain conceptual and logical database models.

For this role, you should know how to analyze system requirements and implement migration methods for existing data. Hands-on experience with SQL Server 2012 and above is also required. Ideally, you are familiar with database design, reviewing code, writing stored procedures, creating and modifying SQL agent jobs, making structural changes to tables and views.

Ultimately, you will develop database solutions to ensure project information is stored effectively and securely.

We’re a fast-growing company with clients in the United States, UK, and Australia. You will join a team of talented developers, quality engineers, product managers whose mission is to impact above 100 million people across the world with technological services by the year 2030.

Working as Senior Microsoft SQL Developer at Navtech, you will:

1. Design conceptual and logical data models and flowcharts.
2. Improve system performance by conducting tests, troubleshooting, and integrating new elements.
3. Design and Build database systems of high availability and quality depending on each end user’s specialized role.
4. Help write and optimize in-application SQL statements.
5. Handle common database procedures such as upgrade, backup, recovery, migration, etc.
6. Ensure performance, security, and availability of databases.
7. Use high-speed transaction recovery techniques and backup data.
8. Provide proactive and reactive data management support and training to users.
9. Determine, enforce and document database policies, procedures, and standards.
10. Perform tests and evaluations regularly to ensure data security, privacy, and integrity.
11. Monitor database performance, implement changes, and apply new patches and versions when required.

1. 5+ years of experience in SQL Server Development with at least 1 year of Lead experience.
2. Advanced experience in database monitoring, troubleshooting, performance tuning, and high availability strategies for SQL Server 2016, SQL Server in Cloud (AWS RDS preferred).
3. Advanced skills in resolving database locking conflicts/blocking and resource utilization.
4. Ability to work with other developers and engineers to analyze database performance and identify problems in areas such as execution plans, index coverage, and SQL server statistics.
5. A thorough understanding of Performance Monitoring, Tuning, and Optimization, using native and third-party monitoring and troubleshooting tools.
6. Advanced knowledge of SQL Server Disaster Recovery (DR) options, Always On availability groups, and experience administering Windows Server, including Active Directory, Failover clustering, database partitioning, security, and encryption (a plus).
7. Experience supporting SSIS, SSRS, replication, database mirroring (a plus).
8. PowerShell scripting experience with the ability to write automated scripts and strong knowledge of system tables and DMV’s is required. (a plus).
9. Administering Microsoft SQL Server databases in a high transaction, 24x7 database environment (a plus).
10. Experience in Postgres, No-SQL databases (a plus).
11. MCSA SQL Server 2012/2016 , MCSE or MCDBA (a plus).
12. Should have excellent logical, analytical, and communication skills with client interaction experience.

Benefits

• Working with industry giants while following your passion for technology.
• Competitive pay package with additional bonus and benefits.
• Performance review and Appraisal Twice a year.
• Family Health Insurance cover for self and family.
• Work with US, UK, and Europe-based industry-renowned clients for exponential technical growth.
• Work with a culturally diverse team from different geographies

• Expertise in designing and implementing enterprise scale database (OLTP) and Data warehouse solutions.
• Hands on experience in implementing Azure SQL Database, Azure SQL Date warehouse (Azure Synapse Analytics) and big data processing using Azure Databricks and Azure HD Insight.
• Expert in writing T-SQL programming for complex stored procedures, functions, views and query optimization.
• Should be aware of Database development for both on-premise and SAAS Applications using SQL Server and PostgreSQL.
• Experience in ETL and ELT implementations using Azure Data Factory V2 and SSIS.
• Experience and expertise in building machine learning models using Logistic and linear regression, Decision tree  and Random forest Algorithms.
• PolyBase queries for exporting and importing data into Azure Data Lake.
• Building data models both tabular and multidimensional using SQL Server data tools.
• Writing data preparation, cleaning and processing steps using Python, SCALA, and R.
• Programming experience using python libraries NumPy, Pandas and Matplotlib.
• Implementing NOSQL databases and writing queries using cypher.
• Designing end user visualizations using Power BI, QlikView and Tableau.
• Experience working with all versions of SQL Server 2005/2008/2008R2/2012/2014/2016/2017/2019
• Experience using the expression languages MDX and DAX.
• Experience in migrating on-premise SQL server database to Microsoft Azure.
• Hands on experience in using Azure blob storage, Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2.
• Performance tuning complex SQL queries, hands on experience using SQL Extended events.
• Data modeling using Power BI for Adhoc reporting.
• Raw data load automation using T-SQL and SSIS
• Expert in migrating existing on-premise database to SQL Azure.
• Experience in using U-SQL for Azure Data Lake Analytics.
• Hands on experience in generating SSRS reports using MDX.
• Experience in designing predictive models using Python and SQL Server.
• Developing machine learning models using Azure Databricks and SQL Server