Cloud Engineering / Ops Lead – AWS Application Support,

Overview:

We're looking for a Full Stack Developer with strong backend expertise who can build,

manage, and scale AI-driven products end to end. You'll play a critical role in designing

scalable architectures, optimizing performance and cost, and building robust AI and agentic

systems.

Responsibilities

1. Architect and build scalable backend systems using FastAPI, PostgreSQL, and Redis.

2. Design, develop, and maintain AI-driven applications, integrating multiple LLMs, APIs,

and agentic frameworks.

3. Implement vector databases (pgvector, Qdrant, etc.) for RAG and AI memory systems.

4. Orchestrate multi-agent AI systems with LangChain/LangGraph, including function

calling, agent collaboration, and monitoring.

5. Build and integrate RESTful APIs for frontend and external use.

6. Manage DevOps workflows, including CI/CD, cloud deployments (AWS/GCP), server

scaling, and logging/monitoring (Sentry).

7. Optimize application cost, latency, and reliability, balancing speed with LLM call

efficiency and caching strategies.

8. Collaborate with product, design, and AI teams to translate business requirements into

high-performing tech.

9. Maintain documentation and ensure code quality with tests, reviews, and async-first

architecture.

10. Contribute to frontend development (React + TypeScript) when necessary, ensuring

seamless API integration and data visualization.

Requirements

Core Skills

• Strong proficiency in Python and FastAPI.

• Experience with PostgreSQL (including pgvector) and SQLAlchemy (async).

• Solid understanding of Redis, RQ (Redis Queue), and caching mechanisms.

• Proven experience integrating LLMs and AI APIs (OpenAI, Anthropic, etc.).

• Hands-on experience with LangChain / LangGraph, RAG pipelines, and agent

orchestration.

• Experience working with cloud platforms (AWS / GCP) and managing file storage (S3).

• Familiarity with frontend stacks (React, TypeScript, Tailwind, Zustand).

• Working knowledge of DevOps: Docker, CI/CD pipelines, deployment automation, and

observability tools (Sentry, Mixpanel, Clarity).

Bonus / Nice to Have

• Experience building agent monitoring dashboards or AI workflows.

• Prior experience in startup or product-based environments.

• Understanding of LLM cost optimization, token management, and function calling

orchestration.

• Familiarity with external API integrations like BrightData, Hunter.io, Adzuna, and Serper.

• Experience building scalable AI products (e.g., chatbots, AI copilots, data agents, or

automation tools).

Mindset

• Startup-ready: comfortable working in fast-paced, ambiguous environments.

• Deep curiosity about AI systems and automation.

• Strong sense of ownership and accountability for shipped products.

• Pragmatic and cost-conscious in architectural decisions.

• Excellent communication and documentation skills.

Job Description for PostgreSQL Lead

Job Title: PostgreSQL Lead

Company: Mydbops

About us:

As a seasoned industry leader for 8 years in open-source database management, we specialise in providing unparalleled solutions and services for MySQL, MariaDB, MongoDB, PostgreSQL, TiDB, Cassandra, and more. At Mydbops, we are committed to providing exceptional service and building lasting relationships with our customers. Our Customer Account Management team is vital in ensuring client satisfaction and loyalty.

Role Overview

As the PostgreSQL Lead, you will own the design, implementation, and operational excellence of PostgreSQL environments. You’ll lead technical decision-making, mentor the team, interface with customers, and drive key initiatives covering performance tuning, HA architectures, migrations, and cloud deployments.

Key Responsibilities

• Lead PostgreSQL production environments: architecture, stability, performance, and scalability

• Oversee complex troubleshooting, query optimization, and performance analysis

• Architect and maintain HA/DR systems (e.g., Streaming Replication, Patroni, repmgr)

• Define backup, recovery, replication, and failover protocols

• Guide DB migrations, patches, and upgrades across environments

• Collaborate with DevOps and cloud teams for infrastructure automation

• Use monitoring (pg_stat_statements, PMM, Nagios or any monitoring stack) to proactively resolve issues

• Provide technical mentorship—conduct peer reviews, upskill, and onboard junior DBAs

• Lead customer interactions: understand requirements, design solutions, and present proposals

• Drive process improvements and establish database best practices

Requirements

• Experience: 4-5 years in PostgreSQL administration, with at least 2+ years in a leadership role

• Performance Optimization: Expert in query tuning, indexing strategies, partitioning, and execution plan analysis.

• Extension Management: Proficient with critical PostgreSQL extensions including:
• pg_stat_statements – query performance tracking
• pg_partman – partition maintenance
• pg_repack – online table reorganization
• uuid-ossp – UUID generation
• pg_cron – native job scheduling
• auto_explain – capturing costly queries

• Backup & Recovery: Deep experience with pgBackRest, Barman, and implementing Point-in-Time Recovery (PITR).

• High Availability & Clustering: Proven expertise in configuring and managing HA environments using Patroni, repmgr, and streaming replication.

• Cloud Platforms: Strong operational knowledge of AWS RDS and Aurora PostgreSQL, including parameter tuning, snapshot management, and performance insights.

• Scripting & Automation: Skilled in Linux system administration, with advanced scripting capabilities in Bash and Python.

• Monitoring & Observability: Familiar with pg_stat_statements, PMM, Nagios, and building custom dashboards using Grafana and Prometheus.

• Leadership & Collaboration: Strong problem-solving skills, effective communication with stakeholders, and experience leading database reliability and automation initiatives.

Preferred Qualifications

• Bachelor’s/Master’s degree in CS, Engineering, or equivalent

• PostgreSQL certifications (e.g., EDB, AWS)

• Consulting/service delivery experience in managed services or support roles

• Experience in large-scale migrations and modernization projects

• Exposure to multi-cloud environments and DBaaS platforms

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work with a dynamic and innovative team.
• Professional growth and development opportunities.
• Collaborative and inclusive work environment.

Job Details:

• Work time: General shift
• Working days: 5 Days
• Mode of Employment - Work From Home
• Experience - 4-5 years

About Us

Enbraun Technologies is the team behind eResource Scheduler, a global B2B SaaS product for workforce and project resource management. Our platform helps organizations plan work smarter, allocate resources efficiently, and improve productivity through better scheduling and capacity planning.

We are focused on building simple, powerful products that solve real operational challenges for businesses worldwide.

Profile

We're looking for a hands-on Digital Marketing Manager with 5–8 years of B2B SaaS experience who can:

• Own end-to-end digital marketing (paid ads, SEO, content, email)
• Drive qualified leads and revenue, not just traffic
• Use AI tools and modern marketing tactics to stay ahead
• Lead and mentor a small marketing team (3–6 people)

Responsibilities

1) Performance Marketing

• Run and optimize Google Ads, LinkedIn Ads, and Meta campaigns
• Improve CAC, CPL, and ROI across all paid channels
• Build ABM campaigns for enterprise prospects

2) SEO & Content

• Lead AI-powered SEO using ChatGPT, Surfer SEO, or similar tools
• Create content strategies around high-intent keywords
• Optimize technical SEO and improve organic rankings

3) Lead Generation & Funnel Optimization

• Drive demand generation and qualified pipeline (MQLs → SQLs)
• Improve conversion rates across landing pages, forms, and nurture flows
• Run experiments to optimize the buyer journey

4) Analytics & Reporting

• Track performance using GA4, HubSpot/CRM, and dashboards
• Analyze funnel metrics and channel ROI
• Make data-driven decisions on budget and strategy

5) Team Leadership

• Manage and mentor 3–6 marketers
• Set clear goals and hold the team accountable
• Build a culture of experimentation and learning

Requirements

• 5–8 years in digital marketing (B2B SaaS preferred)
• Proven success with Google Ads and LinkedIn Ads
• Strong SEO skills (Ahrefs, SEMrush, Search Console)
• Experience with AI SEO tools (ChatGPT, Surfer SEO, Clearscope)
• Hands-on with GA4, CRM tools (HubSpot/Salesforce), and marketing automation
• Track record of improving lead quality and reducing CAC
• Experience managing or mentoring a team

Why join us?

• 5-day work week.
• Collaborative, fast-growing team
• Quarterly recognition programs & yearly outings
• Paid leaves and learning opportunities

Job Summary: 

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability. 

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost. 

Key Responsibilities: 

1. Cloud Infrastructure Design & Management 

• Architect, deploy, and maintain GCP cloud resources via terraform/other automation. 
• Implement Google Cloud Storage, Cloud SQL, filestore, for data storage and processing needs. 
• Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability. 
• Optimize resource allocation, monitoring, and cost efficiency across GCP environments. 

2. Kubernetes & Container Orchestration 

• Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE). 
• Work with Helm charts for microservices deployments. 
• Automate scaling, rolling updates, and zero-downtime deployments. 

3. Serverless & Compute Services 

• Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads. 
• Optimize containerized applications running on Cloud Run for cost efficiency and performance. 

4. CI/CD & DevOps Automation 

• Design, implement, and manage CI/CD pipelines using Azure DevOps. 
• Automate infrastructure deployment using Terraform, Bash and Powershell scripting 
• Integrate security and compliance checks into the DevOps workflow (DevSecOps). 

Required Skills & Qualifications: 

✔ Experience: 4+ years in Cloud Engineering, with a focus on GCP. 

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions). 

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm. 

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation. 

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources. 

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation. 

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards. 

About Us:

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, frameworks, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

What you will do at Episource:

You will be responsible for setting an agenda to develop and build machine learning platforms that positively impact the business, working with partners across the company including operations and engineering. You will be working closely with the machine learning team to design and implement back end components and services. You will be evaluating new technologies, enhancing the applications, and providing continuous improvements to produce high quality software.

Required Skills:

• Strong background in analytics, BI or data science deployments is preferable with 2-6 years of experience

• Knowledge of React/Vue, HTML, CSS

• Experience building and consuming APIs 

• Experience with MySQL, MongoDB and MEAN stack 

• Knowledge and experience with serverless architectures is a plus

• Hands-on experience with AWS or any major cloud service provider for deploying solutions

• Experience with Docker or Kubernetes in deploying solutions on the cloud

• Hands-on experience Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Interacts with Business Process Experts / Owners & Users community to collect business requirements

• Should have a minimum of 5+ years of experience in Implementation of different Kinaxis RapidResponse modules like Supply Planning, Forecasting and Demand Planning, ATP, Aggregate Supply Planning, Capacity Planning, Attribute Based Planning, Sales & Operations Planning

• Writing blogs, write-ups and various contents for marketing and communications
• Ideating and writing content/ script for success stories in the form of writing, visual content and audio-visual outputs
• Posting on various channels and managing social media handles
• Designing using tools

Desired Candidate Profile

• Focus and Discipline
• Analytical, problem solving and calculative attitude
• Humility to learn, share & keep improving
• Excellent and proactive communication in all formats