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We are seeking for an IT Project Manager. A leading financial services organization is looking for an experienced IT Project Manager to lead cross-functional technology initiatives from planning through production deployment.
Responsibilities
* Lead end-to-end IT projects involving multiple technology teams and business stakeholders
* Manage project scope, timelines, milestones, risks, dependencies, budgets, and vendors
* Prepare and present project status reports to senior management
* Coordinate activities across business and technical teams in a matrix environment
* Utilize AI tools to optimize project management processes, data analysis, and decision-making

As a DevOps Engineer, you will be responsible for the reliability, scalability, and efficiency of our SaaS products. Your success will be measured by your ability to achieve the following:

First 3 Months: Master our GitOps-based deployment pipelines. You will be expected to independently manage and troubleshoot deployments using ArgoCD and Kargo, and contribute to the team's on-call rotation.

First 6 Months: Enhance our CI/CD processes and workflow efficiency. You will lead the project to reduce average build and deployment times by 20% by optimizing GitHub Actions, Helm charts, and introducing initial AI-assisted automation.

First 12 Months: Improve system scalability and reliability. You will design and implement infrastructure enhancements using Terraform to support a 25% increase in customer workload while maintaining a 99.9% uptime.

Core Responsibilities

Deployment Pipeline Management: Build and maintain our GitOps-based deployment pipelines to ensure a 99% success rate for all deployments and reduce manual intervention by 30% within the first year.

Infrastructure Management: Manage and scale our Kubernetes infrastructure on GCP, with a goal of optimizing resource utilization to achieve a 15% cost reduction in our GCP spending over the next 18 months.

Automation and CI/CD: Enhance and maintain our GitHub Actions CI/CD pipelines to decrease the lead time for changes to production by 25% within the first year.

AI-Assisted Workflow Integration: Integrate AI-assisted tooling into day-to-day DevOps and engineering workflows to improve productivity, scalability, and operational efficiency. You will leverage AI tools to generate initial configuration drafts, validate infrastructure code, and utilize AI-driven automation to reduce repetitive manual tasks by 20% within the first 6 months, accelerating engineering execution while maintaining high-quality standards.

System Reliability: Proactively improve system reliability and availability, with the objective of reducing the number of critical production incidents by 50% through improved monitoring, logging, and alerting within 12 months.

We are looking for a Senior Full-stack Engineer for one of our Engineering teams, to help solve the toughest issues in cybersecurity: help SOC analysts quickly investigate security incidents by automatically analyzing petabytes of data.

Responsibilities
Develop and maintain a complex system for managing, analyzing, investigating and visualizing security alerts in real-time using React, NodeJS, and Python.
Query large scale cloud warehouses and databases such as Snowflake, Databricks, Postgres, MongoDB, NeptuneDB, etc.. for time critical and optimized results.
Design scalable, highly available data pipelines in a microservices environment using AWS cloud infrastructure while optimizing resources and performance.
Help Mentor and guide team members by researching and enforcing best practices and methodologies across the pipeline.

As our AI Team Lead, you will sit at the intersection of cutting-edge research and production engineering, guiding a high-performing team of Data Scientists and Engineers. This is a deeply hands-on leadership role where you will drive the end-to-end lifecycle-from initial research and PyTorch training to deploying sophisticated multi-modal AI (Text, Image, Audio, and Video) in high-throughput environments. Join us in building the future of responsible AI adoption and digital integrity.

Responsibilities
Manage and grow a high-performing team of AI researchers and engineers, fostering technical excellence.
Drive the design and training of multimodal models applications (Text, Image, Audio, Video) using PyTorch.
Own the AI roadmap from initial concept to scalable, high-throughput production.
Partner with Product, Backend, and Security teams to integrate AI solutions globally.
Stay at the forefront of GenAI/LLM research to continuously improve our detection engines.

We are looking for a Production Engineer to join our existing Devops team. You will work alongside senior engineers to keep our production systems reliable, observable, and operationally sustainable.

Responsibilities
Lead incident response and on-call rotation.
Help define and refine SLOs and SLIs; tune alerts to reduce noise and improve signal quality.
Write and maintain runbooks; contribute to blameless postmortems and follow-up actions.
Build and improve dashboards , giving product teams clear visibility into the health of their services.
Automating repetitive operational work in Python, C#, and Bash.
Support our Kubernetes workloads, Terraform-managed infrastructure, and observability pipelines across our multi-cloud solution.
Collaborate with backend and platform engineers to make new services production-ready.