Design Engineer

Tech Support Engineer Job Description Technical Support Engineer plays a crucial role in ensuring the smooth operation of technical systems, providing expert-level support to customers, and contributing to the improvement of products and services through technical expertise and leadership. To meet the qualifications specified: 1. Educational Background: A degree in a relevant field, such as Computer Science, Information Technology, or a related discipline, is a requirement. 2. Experience: While not explicitly mandatory, experience in fields like Computer Science or IT is considered advantageous. It may provide a practical understanding of the domain that can be beneficial in this role. 3. Personal Traits: Being a natural helper and enjoying assisting people with their computer issues are essential qualities. Additionally, the ability to simplify and effectively communicate technical details to individuals with varying levels of technical knowledge is a significant advantage. If you possess the educational qualification, experience, and the mentioned traits, it's likely you fit the criteria for this role. Demonstrating your passion for helping people with technical issues and your ability to communicate complex information in an understandable manner during the application. Roles and Responsibilities Technical Expertise: Provide advanced technical support to customers and internal teams. Troubleshoot complex technical issues related to software, hardware, or network systems. Perform root cause analysis for recurring issues and implement permanent resolutions. Collaborate with development teams to escalate and resolve product issues. Maintain up-to-date knowledge of new technologies and industry trends. Customer Support: Act as a point of escalation for critical customer issues. Communicate effectively with customers to understand their technical concerns. Manage and prioritize support tickets and customer inquiries. Ensure timely resolution of customer issues according to service level agreements (SLAs). Provide training and guidance to junior support engineers. Documentation and Reporting: Document troubleshooting steps and solutions for knowledge base articles. Create and maintain technical documentation, including FAQs and user guides. Generate regular reports on support activities, issue trends, and resolution metrics. Quality Assurance: Conduct quality assurance testing for new software releases or patches. Validate bug fixes and ensure they meet customer requirements. Perform regression testing to identify potential issues before deployment. Tech Support Engineer Job Description Communication Skills: Communicate technical information effectively to both technical and non-technical audiences. Provide regular updates to customers and stakeholders on issue status and resolution. Participate in customer-facing meetings and conference calls as a technical expert. Troubleshooting and Problem-Solving: Utilize diagnostic tools and resources to analyze technical issues. Develop creative solutions to complex technical problems. Implement temporary workarounds and permanent fixes as necessary. Compliance and Security: Ensure compliance with data protection regulations and security best practices. Follow established protocols for handling sensitive customer information. Required Skill Set: MS Office, Windows Troubleshooting, ITIL, Basic Networking, Understanding on EDR , DLP Tools , Firewalls , VMware/ Citrix workspace Client setup troubleshooting , Active Directory, Basic Concepts of O365 Exchange admin, Microsoft MDM & Intune, Firewall’s, DLP, EDR, Proxy concepts, Fundamental understanding of ITSM, ITIL, or CMDB.  

We are seeking a seasoned Engineering Lead with deep expertise in workflow orchestration systems, stateful execution engines, and distributed task runtimes. You will architect the next generation of our DAG-based runtime, develop the infrastructure for agentic workflow composition, and drive execution excellence across engineering. This role combines hands-on systems design with technical leadership and team mentorship.

Key Responsibilities

1. Architect & Build the Swarm Runtime

• Design and implement a DAG-based orchestration engine using Temporal, Argo Workflows, or equivalent event-driven runtimes.
• Build a scalable primitive registry for tasks, operators, guards, and computational nodes.
• Architect a robust scheduler capable of handling event triggers, retries, backoffs, and distributed coordination.

2. Develop the Workflow Composition Layer

• Define and build a YAML/JSON-based DSL for describing agentic workflows, dependencies, and execution semantics.
• Create a schema-driven rules engine ensuring validations, model calls, parallelism, conditional branching, and approval gates are seamlessly integrated.

3. Orchestration Logic & Runtime Intelligence

• Implement orchestration logic that coordinates:
• Validation layers
• Model calls (LLMs, embedding engines, external APIs)
• Human-in-the-loop approval gates
• Stateful transitions and checkpointing
• Ensure deterministic execution, traceability, and safe rollback mechanisms.

4. Workflow Certification & Automated Testing

• Define certification standards for every workflow type, including:
• Functional correctness
• Latency and concurrency thresholds
• Error-handling expectations
• Observability and trace coverage
• Build automated regression test suites validating workflow integrity before deployment.

5. Engineering Leadership & Delivery

• Lead, mentor, and grow a team of backend and systems engineers.
• Drive sprint planning, reviews, engineering discipline, and roadmap execution.
• Own runtime delivery deadlines, cross-team coordination, and release quality.

6. Observability, Reliability & Production Excellence

• Instrument the runtime with observability hooks: metrics, tracing, structured logs, and execution heatmaps.
• Build robust retry logic, distributed locks, idempotency guards, and failover strategies.
• Improve runtime stability, throughput, and scale characteristics.

Requirements

Must-Have

• 8+ years of backend engineering experience building high-scale systems.
• 3+ years leading teams focused on workflows, automation, orchestration, or distributed runtimes.
• Deep understanding of:
• Stateful orchestration engines (Temporal, Step Functions, Argo, Airflow)
• Message queues, pub/sub systems, and event-driven patterns
• Retry logic, compensating transactions, and idempotent operations
• Distributed tracing, observability pipelines, and health checks
• Strong background in concurrent programming, async task management, and execution models.
• Hands-on experience with at least one systems language or backend stack (Python, Go, Rust, Node).

Nice-to-Have

• Experience building workflow DSLs or schema-driven interpreters.
• Familiarity with LLM pipelines, agentic runtimes, or AI-driven workflow automation.
• Knowledge of Kubernetes-based runtime environments and workflow controllers.
• Experience with pluggable architecture design, sandboxing, or execution policies.

What This Role Offers

• Ownership of the core execution engine powering Perceive Now’s intelligent automation platform.
• A high-impact leadership position shaping architectural strategy and engineering culture.
• The opportunity to solve cutting-edge problems at the intersection of orchestration, distributed systems, and AI.

About the Role

We are building a scalable, web-based CRM platform designed to manage client records, matter updates, workflow tracking, and role-based access control. We are seeking an experienced Backend Developer to design, develop, and maintain the server-side architecture powering our CRM system.

This role requires strong experience in building secure, API-driven applications with structured database design and performance optimisation.

Key Responsibilities

• Design and develop backend architecture for a web-based CRM platform
• Build and maintain RESTful APIs for frontend integration
• Implement authentication and authorisation (JWT/OAuth, RBAC)
• Develop secure login and user management systems
• Design scalable relational database schemas (PostgreSQL/MySQL)
• Implement workflow logic for matter updates and task tracking
• Ensure high performance, security, and data integrity
• Integrate third-party services (email, notifications, file storage, etc.)
• Write clean, testable, and well-documented code
• Participate in system design and architectural discussions
• Support deployment and DevOps processes where required

Technical Requirements (Must Have)

• Strong experience in one of the following:
• 
  
• Node.js (Express/NestJS)
• Python (Django/FastAPI)
• Java (Spring Boot)
• Experience building REST APIs
• Solid understanding of relational databases (PostgreSQL preferred)
• Experience with authentication & role-based access control
• Knowledge of secure coding practices
• Experience with Git and version control workflows
• Understanding of deployment on AWS/Azure/GCP
• Experience with Docker (preferred)

Good to Have

• Experience building CRM, SaaS, or ERP systems
• Multi-tenant architecture experience
• Background in workflow engines or task automation systems
• Experience with caching (Redis)
• CI/CD pipeline knowledge
• Familiarity with frontend frameworks (React preferred)

What We’re Looking For

• Strong problem-solving ability
• Clean architecture mindset
• Ability to think long-term and design scalable systems
• Experience working independently in a startup or product environment
• Clear communication skills

Project Scope (Current Phase)

• Secure login & signup
• Matter management module
• Role-based access
• Task & workflow management
• Reporting APIs
• Future scalability planning

Experience Required

• 3+ years backend development experience
• Proven experience building production-level web applications

How to Apply

Please share:

• Resume
• GitHub or code samples
• Description of previous backend systems built
• Notice period / availability

Role Type - Remote | Part-time / Contract

Please fill this google form - https://forms.gle/Bp39VdWikH1jHpKR6

Zapify Pro is an Instagram automation platform offering comment-to-DM automation and AI-powered replies. We help creators and businesses scale engagement and conversions by eliminating manual comment and DM workflows.

About the Role

We’re looking for an SEO Specialist to own and scale organic growth for Zapify Pro. This role is ideal for someone experienced in SaaS SEO, who can drive qualified traffic, product signups, and long-term search visibility.

Key Responsibilities

• Own and execute end-to-end SEO strategy for a SaaS product with clear revenue impact.
• Drive organic → trial → paid conversion growth.
• Perform keyword research focused on high-intent, BOFU, product-led, and content-led keywords.
• Plan, create, and optimize:
• Blog content and topical clusters
• Feature, use-case, comparison, alternatives, and integration pages
• Conversion-focused landing pages (trials, signups)
• Conduct regular SEO audits:
• Technical, on-page, content gaps, and decay analysis
• Improve site architecture, internal linking, crawlability, and indexing.
• Own content refresh, pruning, and cannibalization fixes.
• Collaborate closely with content, product, and engineering teams:
• SEO input for new features and page launches
• Lead white-hat backlink and authority-building initiatives.
• Monitor competitors: Keyword gaps, SERP features, and share of voice
• Track, analyze, and report performance:
• Organic traffic and rankings
• Conversion rates and SEO-assisted revenue
• Insights with clear action plans
• Stay updated with Google algorithm changes and SEO best practices.

Requirements

• 3+ years of hands-on SEO experience with demonstrable SaaS results.
• Strong experience in SaaS or B2B SEO.
• Proven ability to grow organic traffic, trials, and paid signups.
• Deep expertise in:
• On-page, off-page, and technical SEO
• Keyword research, search intent, and competitor analysis
• Solid technical SEO knowledge:
• Core Web Vitals (LCP, CLS, INP)
• Indexing, canonicals, pagination
• Schema (FAQ, Product, Review)
• JavaScript SEO basics (Next.js / React awareness)
• Proficient with:
• Ahrefs or SEMrush
• Google Search Console
• Google Analytics (GA4)
• Basic understanding of HTML/CSS and SEO-friendly development.
• Data-driven mindset with strong ownership and execution ability.
• Clear communication and documentation skills.

Bonus (Nice to Have)

• Experience with product-led SEO or programmatic SEO.
• CRO or landing page optimization experience.
• SaaS comparison / alternatives page strategy experience.
• Familiarity with automation, AI tools, or marketing tech.
• Experience working with headless CMS or modern SaaS stacks.

Responsibilities

• Take product ideas from ideation to implementation
• Design and develop backend services that expand the capabilities of the product
• Write high quality, structured application/interface code and tests
• Lead engineering discussions to ensure the best practices, maintainability and security of the application
• Participate in design and code reviews

We are looking for

• 3+ years of experience building quality applications
• Proficient in Node JS, NoSQL databases
• Strong working knowledge of Web technologies and APIs
• Passion for best design and coding practices and a desire to develop new bold ideas
• Experience in planning, designing architecture and working with teams
• Experience with SaaS product or an early stage startup is a plus

Description

About us

Welcome to Decision Foundry!

We are both a high growth startup and one of the longest tenured Salesforce Marketing Cloud Implementation Partners in the ecosystem. Forged from a 19-year-old web analytics company, Decision Foundry is the leader in Salesforce intelligence solutions.

We win as an organization through our core tenets. They include:

• One Team. One Theme.
• We sign it. We deliver it.
• Be Accountable and Expect Accountability.
• Raise Your Hand or Be Willing to Extend it

Requirements

• Strong understanding of data management principles and practices (Preferred experience: AWS Redshift).

• Experience with Tableau server administration, including user management and permissions (preferred, not mandatory).

• Ability to monitor alerts and application logs for data processing issues and troubleshooting.

• Ability to handle and monitor support tickets queues and act accordingly based on SLAs and priority.

• Ability to work collaboratively with cross-functional teams, including Data Engineers and BI team.

• Strong analytical and problem-solving skills.

• Familiar with data warehousing concept and ETL processes.

• Experience with SQL, DBT and database technologies such as Redshift, Postgres, MongoDB, etc.

• Familiar with data integration tools such as Fivetran or Funnel.io

• Familiar with programming languages such as Python.

• Familiar with cloud-based data technologies such as AWS.

• Experience with data ingestion and orchestration tools such as AWS Glue.

• Excellent communication and interpersonal skills.

• Should possess experience of 2+ years.