Symphony Solutions

Role Description We're looking for a Senior SRE to join our team and help us build and maintain reliable, observable, and scalable infrastructure. You'll work closely with developers, own reliability practices, and contribute to the team's DevOps culture. Qualifications - Linux — confident troubleshooting in terminal, logs, processes, networking basics, resource usage. - Kubernetes / GKE — strong hands-on understanding of workloads, pods, services, ingress/gateway, probes, RBAC, resources, autoscaling, and troubleshooting. - GCP — practical experience with cloud infrastructure, especially around GKE, IAM, networking, load balancing, artifact registry, and production diagnostics. - Docker / Containers — images, registries, runtime debugging, container lifecycle. - Helm — understands Helm releases, values, deployment state, and rollback. - GitOps / FluxCD — able to understand and troubleshoot GitOps deployment flow, drift, image automation, and Git-based rollback. - CI/CD understanding — can investigate failed pipelines and deployment issues; does not need to be the main pipeline builder if DevOps owns that. - Observability — Prometheus, Alertmanager, Grafana; understands metrics, logs, traces, dashboards, alerting, and production monitoring. - Networking fundamentals — DNS, load balancers, ingress, gateways, TLS, routing, firewall/security rules. - SLI / SLO / SLA — can define and apply reliability targets, not just explain the terms. - Incident response — experience with production incidents, rollback, service recovery, RCA/postmortem. - Databases / messaging operational basics — PostgreSQL, Couchbase, Kafka, Elasticsearch/ELK or similar; enough to monitor health, migrations, indexes, topics, and failure signals. - Security / compliance basics — secrets, IAM/RBAC, audit trail, release/change evidence. Requirements - Can assess if a release is technically safe to proceed. - Can define what should be monitored during and after deployment. - Can verify production health after release. - Can prepare or validate rollback plans. - Can lead or support post-release watch. - Can improve runbooks and incident response procedures. - Can identify gaps in dashboards, alerts, deployment checks, and release evidence. - Can work with DevOps without duplicating their ownership. Soft Skills - Ownership and accountability — follows production issues through to closure. - Calm under pressure — can operate clearly during incidents, failed deployments, and rollbacks. - Clear communication — gives concise updates: impact, current action, ETA, risk, decision needed. - Structured troubleshooting — breaks issues down by app, infra, network, database, config, release diff, external dependency. - Risk awareness — can say when a release is risky and explain why. - Collaboration — works well with Dev, QA, Product, Support, Release Manager, and DevOps. - Documentation discipline — maintains runbooks, rollback steps, incident timelines, and operational evidence. - Blameless mindset — focuses on root cause and prevention. - Proactivity — finds missing alerts, dashboards, runbooks, and process gaps before incidents. - Prioritization — separates real production impact from alert noise. Nice To Have - Terraform / IaC experience. - Advanced GCP infrastructure design. - ArgoCD or other GitOps tools. - Advanced database or performance tuning. - Service mesh experience. - On-call rotation experience with PagerDuty/Opsgenie or similar. - Experience facilitating RCA/postmortem sessions. - Betting/gaming domain experience. - Good written English for incident updates, release notes, and audit evidence. - Basic understanding of AI-related concepts: agents, skills, MCP. Responsibilities - Own production reliability practices together with DevOps and engineering teams. - Monitor production health and improve observability. - Support releases, hotfixes, rollback, and post-release watch. - Validate deployment readiness and rollback readiness. - Participate in incident response and RCA/postmortem. - Maintain runbooks, dashboards, alerting rules, and operational documentation. - Ensure release evidence is traceable and audit-ready. - Coordinate with Dev, QA, Product, Support, Release Manager, and DevOps during production events.

Role Description We're looking for a Senior SRE to join our team and help us build and maintain reliable, observable, and scalable infrastructure. You'll work closely with developers, own reliability practices, and contribute to the team's DevOps culture. Qualifications - Linux — confident troubleshooting in terminal, logs, processes, networking basics, resource usage. - Kubernetes / GKE — strong hands-on understanding of workloads, pods, services, ingress/gateway, probes, RBAC, resources, autoscaling, and troubleshooting. - GCP — practical experience with cloud infrastructure, especially around GKE, IAM, networking, load balancing, artifact registry, and production diagnostics. - Docker / Containers — images, registries, runtime debugging, container lifecycle. - Helm — understands Helm releases, values, deployment state, and rollback. - GitOps / FluxCD — able to understand and troubleshoot GitOps deployment flow, drift, image automation, and Git-based rollback. - CI/CD understanding — can investigate failed pipelines and deployment issues; does not need to be the main pipeline builder if DevOps owns that. - Observability — Prometheus, Alertmanager, Grafana; understands metrics, logs, traces, dashboards, alerting, and production monitoring. - Networking fundamentals — DNS, load balancers, ingress, gateways, TLS, routing, firewall/security rules. - SLI / SLO / SLA — can define and apply reliability targets, not just explain the terms. - Incident response — experience with production incidents, rollback, service recovery, RCA/postmortem. - Databases / messaging operational basics — PostgreSQL, Couchbase, Kafka, Elasticsearch/ELK or similar; enough to monitor health, migrations, indexes, topics, and failure signals. - Security / compliance basics — secrets, IAM/RBAC, audit trail, release/change evidence. Requirements - Can assess if a release is technically safe to proceed. - Can define what should be monitored during and after deployment. - Can verify production health after release. - Can prepare or validate rollback plans. - Can lead or support post-release watch. - Can improve runbooks and incident response procedures. - Can identify gaps in dashboards, alerts, deployment checks, and release evidence. - Can work with DevOps without duplicating their ownership. Soft Skills - Ownership and accountability — follows production issues through to closure. - Calm under pressure — can operate clearly during incidents, failed deployments, and rollbacks. - Clear communication — gives concise updates: impact, current action, ETA, risk, decision needed. - Structured troubleshooting — breaks issues down by app, infra, network, database, config, release diff, external dependency. - Risk awareness — can say when a release is risky and explain why. - Collaboration — works well with Dev, QA, Product, Support, Release Manager, and DevOps. - Documentation discipline — maintains runbooks, rollback steps, incident timelines, and operational evidence. - Blameless mindset — focuses on root cause and prevention. - Proactivity — finds missing alerts, dashboards, runbooks, and process gaps before incidents. - Prioritization — separates real production impact from alert noise. Nice To Have - Terraform / IaC experience. - Advanced GCP infrastructure design. - ArgoCD or other GitOps tools. - Advanced database or performance tuning. - Service mesh experience. - On-call rotation experience with PagerDuty/Opsgenie or similar. - Experience facilitating RCA/postmortem sessions. - Betting/gaming domain experience. - Good written English for incident updates, release notes, and audit evidence. - Basic understanding of AI-related concepts: agents, skills, MCP. Responsibilities - Own production reliability practices together with DevOps and engineering teams. - Monitor production health and improve observability. - Support releases, hotfixes, rollback, and post-release watch. - Validate deployment readiness and rollback readiness. - Participate in incident response and RCA/postmortem. - Maintain runbooks, dashboards, alerting rules, and operational documentation. - Ensure release evidence is traceable and audit-ready. - Coordinate with Dev, QA, Product, Support, Release Manager, and DevOps during production events.

Role Description Vivino is the world's largest online wine marketplace and most downloaded wine app, trusted by over 70 million users to discover and purchase the right wine. The project focuses on enhancing Vivino's backend services and APIs within a cross-functional product development team. The tech stack includes Go and SQL, and the work culture emphasizes creativity, collaboration, ownership, and continuous improvement. Responsibilities - Designing and implementing backend services and APIs, using Go, to power core product functionalities. - Contributing to cross-functional product development teams, collaborating closely with engineers, product managers, and other stakeholders to deliver impactful solutions. - Maintaining platform health, ensuring stability, scalability, and reliability of backend services. - Communicating proactively and transparently, keeping teammates informed throughout every stage of your work and seeking alignment when needed. - Participating in goal setting and team planning, helping define group objectives and contributing to continuous improvement initiatives. Qualifications - At least 1 year of experience in designing and implementing APIs (preferably in Go or similar technologies). - Ability and willingness to learn Go. - At least 1 year of experience in composing common SQL queries. - Creative mindset with the ability to think imaginatively and propose new ideas. - Adaptability and flexibility to thrive in a fast-paced, ever-changing environment. - Strong collaboration skills, with a sociable nature and enjoyment of cross-team cooperation. - Conscientiousness, with attention to detail, accuracy, and high standards in all work. - Resilience in facing challenges and setbacks, with a growth and problem-solving mindset. - Confidence to speak up, challenge norms, ask questions, and drive continuous improvement. - Alignment with both Symphony Solutions' values and Vivino's values: Always Strive for Better / Work Together / Earn and Offer Trust / Be Approachable / Lead with Data. - Comfortable working in a multicultural, international environment. - Open to feedback, willing to learn from mistakes, and supportive of others in continuous improvement efforts. Requirements - Embrace data as a driver of innovation and are eager to see how it can shape smarter, more personalized features. - Use AI tools in your everyday work — from writing implementation notes or exploring data, to troubleshooting code or generating test cases, you see AI as a collaborator, not just a buzzword. - Understand the impact of AI on users, and are motivated by building products that feel intuitive, adaptive, and helpful. - Appreciate the interplay between technology and human experience, recognizing that AI is most powerful when it enhances trust, choice, and enjoyment.

Role Description We're looking for a Middle SRE to join our team and help us build and maintain reliable, observable, and scalable infrastructure. You'll work closely with developers, own reliability practices, and contribute to the team's DevOps culture. Qualifications - Linux — confident working in the terminal, troubleshooting, system basics - Docker — understanding of containers, images, and basic Docker operations - GCP (Google Cloud Platform) — hands-on experience required; our entire infrastructure runs on GCP - Kubernetes — solid hands-on experience; understanding of workloads, networking, and cluster operations - GitOps / FluxCD — experience with FluxCD or similar GitOps tooling is a strong advantage - Observability — Prometheus, Alertmanager, Grafana; understanding the difference between metrics, logs, and traces - Git / GitHub — comfortable with branching strategies, PRs, and Git-based workflows - Knows what SLI, SLO, and SLA mean. - Basic understanding of AI-related concepts: agents, skills, MCP (Model Context Protocol) Requirements - CI/CD Pipelines — experience writing or maintaining pipelines (GitHub Actions, GitLab CI, or similar) - Databases — familiarity with PostgreSQL, Couchbase, or other databases; understanding of basic operations and monitoring - Networking fundamentals — knows where load balancers, gateways, and DNS fit in a cloud architecture - Infrastructure as Code — Terraform or similar IaC tooling Responsibilities - Managing and improving Kubernetes-based infrastructure - Maintaining and evolving observability stack (metrics, logs, traces) - Writing and improving CI/CD pipelines - Supporting and improving GitOps workflows - Collaborating with developers on reliability, performance, and scalability topics

Role Description We’re seeking a Python Developer to join our innovative AI team. This role is focused on building intelligent agents using Microsoft Autogen (or similar tools) and integrating them into AI-driven platforms. You’ll work closely with architects, data engineers, and other developers to create dynamic, adaptive systems that interact with users, data, and tools autonomously. Your work will power solutions in various domains including automation, analytics, and LLM-based product features. Responsibilities - Design and develop intelligent agents using Python and Autogen framework (or similar frameworks) - Collaborate with AI/ML teams to integrate LLMs (e.g., OpenAI, Anthropic, Google, etc.) into multi-agent workflows - Develop and maintain cloud-native applications and services (Azure / AWS / GCP) - Create robust APIs and integrate them with external/internal systems - Implement data ingestion, transformation, and storage logic using SQL, NoSQL, Columnar and Vector DBs - Support system scalability, performance, and maintainability using clean architecture principles - Contribute to agent orchestration logic, tool integrations, and interaction flows - Work closely with the Solutions Architect to align implementation with architecture vision - Write tests, maintain documentation, and participate in code reviews Qualifications - 4+ years of experience in Python development, including async programming - Hands-on experience with LLM agent frameworks, especially Microsoft Autogen, Langchain, Crew AI, LlamaIndex, etc. - Solid knowledge of cloud platforms: Azure, AWS, or GCP (at least one required) - Strong understanding of web development and modern API design (e.g., FastAPI, Flask) - Good experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis) - Understanding of Machine Learning basics (e.g., inference pipelines, embeddings, vector stores) - Familiarity with containerized development (Docker) and cloud deployment practices - Solid Git workflow experience, CI/CD pipelines knowledge - English proficiency (Intermediate or higher) Nice to Have - Experience building multi-agent systems or working with agent orchestration tools - Exposure to RAG (Retrieval-Augmented Generation) and vector search (e.g., FAISS, Weaviate) - Familiarity with LangChain, LangGraph, LlamaIndex, CrewAI - Hands-on experience with streaming data, event-driven architecture, or message queues (e.g., Kafka, RabbitMQ and its cloud versions like Kinesis and MQ) - Knowledge of observability tools (e.g., Prometheus, Grafana, OpenTelemetry) - Experience with DevOps tools and infrastructure-as-code (Terraform, Helm, etc.)

Role Description As a Senior QA Engineer on our team, you will play a key role — not just executing tests, but also shaping how quality is defined, measured, and embedded across the entire product lifecycle — from requirement analysis and test design to sprint goals sign off. You will drive testing strategy across frontend, backend, and integration layers, mentor mid-level QA engineers, and serve as the primary quality voice in cross-functional planning and delivery discussions. This role requires a hands-on professional who is strong in manual testing but also capable of contributing to test automation efforts. You will collaborate closely with BA, developers, and DevOps engineers to build a robust quality culture, improve testing processes, and ensure high standards across multiple brands and releases. Working on this project will expose you to complex product logic, integrations with external providers, and high-load systems in a fast-paced environment. You will join a team that values ownership, proactive communication, and continuous improvement, with real opportunities to influence product quality and engineering standards. Qualifications - 6+ years of experience in Manual QA. - Proven experience designing and owning end-to-end test strategies for complex, multi-service web platforms. - Deep expertise in REST API testing: independently assessing complex business logic, contract correctness, and edge-case behaviour across interconnected services. - Strong command of test documentation: test strategies, test plans, test cases, traceability matrices, and BDD scenario authoring (Gherkin or equivalent). - Solid grasp of microservices and distributed systems testing challenges — including data consistency, service interdependencies, and regression risk in shared infrastructure. - Familiarity with CI/CD pipelines and understanding of how QA gates integrate into automated build processes. - Hands-on familiarity with performance and load testing concepts; ability to interpret results, identify risk thresholds, and escalate findings to engineering. - Experience with test management tools (TestRail or equivalent) and defect tracking platforms (Jira or equivalent), including writing detailed bug reports with root cause analysis and business impact assessment. - Demonstrated ability to identify systemic quality risks and proactively drive mitigation at a process level — not just ticket-by-ticket. - Strong communication and influencing skills — comfortable contributing to architectural reviews, sprint planning, and stakeholder discussions from a quality perspective. - Upper-Intermediate to Advanced English (written and spoken). - Strong practical command of AI tools (Claude, ChatGPT, Copilot, or similar) applied to QA workflows — test case generation, exploratory testing, bug analysis, and documentation — with the ability to critically evaluate outputs and help establish responsible team practices around their use. - Experience in online gambling, fintech, or other high-load, regulated systems. Requirements - Technical background or degree in Computer Science (nice to have). - Automation skills (e.g. Java + REST Assured, Selenium, or equivalent) — enough to read, review, and meaningfully contribute to automation coverage discussions (nice to have). - Hands-on experience with performance or load testing tooling (e.g. Locust, k6, JMeter) (nice to have). - Experience testing real-time data systems: WebSockets, event streams, or feed-based integrations (nice to have). Responsibilities - Define and own the QA strategy for assigned product areas — scoping test coverage, risk prioritisation, and release readiness criteria. - Plan and execute testing across web, API, and integration layers for new features, platform releases, and regression cycles. - Design, maintain, and govern the test case library — ensuring coverage aligns with business-critical flows and compliance requirements. - Contribute quality input early in cross-functional ceremonies — refinement, sprint planning, and architecture reviews — raising risks and ambiguities before implementation begins. - Identify, document, and drive resolution of defects with clear root cause analysis, regression risk assessment, and business impact framing. - Spot coverage gaps, propose tooling improvements, and contribute to QA process improvement initiatives independently. - Apply and advocate for AI-assisted testing approaches within the team — test case generation, exploratory support, bug analysis — establishing repeatable, responsible practices and sharing results. - Contribute to performance testing planning and post-test analysis in collaboration with the engineering team.

Role Description We're looking for a Senior HR Business Partner to work as a strategic partner to business leaders. This is not a support role — you'll sit at the leadership table, influence organisational decisions, and drive people strategy that directly impacts business outcomes. You'll bring a commercial mindset, a track record of navigating complex people challenges, and the confidence to challenge and advise senior stakeholders. Qualifications - 6+ years in HR, with at least 3 years in a true HRBP role (not HR generalist or PP) - Proven experience influencing senior stakeholders and operating at a strategic level - Strong background in organisational design, workforce planning, and talent management - Experience navigating complex, multi-geography employment environments - Confident working with ambiguity and driving decisions without a full playbook - Analytically strong — comfortable building a business case and presenting data to leadership - Fluent in English; Ukrainian is a strong advantage Requirements - Experience in tech or software services organisations - Familiarity with AI-augmented HR tools and workflows - Microsoft 365 ecosystem exposure (Copilot, Power Automate, SharePoint) - GDPR and EU AI Act knowledge - Change management certification or formal methodology experience - AI literacy & ways of working Responsibilities - Act as a strategic advisor to senior leadership, translating business priorities into people strategy across multiple geographies - Lead organisational design conversations — restructuring, workforce planning, spans and layers - Drive talent strategy: succession planning, critical role identification, and leadership pipeline development - Own complex employee relations cases — including senior-level situations, cross-border issues, and cases with legal or reputational implications - Partner with the business on change management — restructures, team transitions, culture shifts - Define and track people metrics that matter to the business: retention, engagement, performance distribution, headcount efficiency - Challenge the status quo — identify systemic people issues and bring solutions, not just observations - Collaborate on AI-powered HR transformation, including intelligent process automation and virtual HR tools - Ensure compliance with local labour law across UA, MK, NG, and PT, and maintain alignment with GDPR and EU AI Act standards - Coach and develop senior managers and team leads on leadership effectiveness and organisational health

Role Description As an Automation QA Engineer, you will take ownership of quality engineering across BetSymphony’s platform services. The platform already has strong test automation in place for key production services, and the goal is to both expand coverage across existing areas and ensure all new development is properly covered from the start. You’ll work with a distributed team that uses AI tools as a normal part of the development process. Engineers are expected to use AI to speed up delivery, improve test quality, and reduce repetitive work — it’s part of everyday work. Qualifications - 4+ years of hands-on experience in test automation, primarily with Java (Python and Scala are a bonus) - Strong experience with REST Assured or similar tools for API test automation - Strong experience with Selenide or Selenium for UI end-to-end testing - Experience integrating automated tests into CI/CD pipelines (e.g. GitHub Actions, Jenkins, or similar) - Experience with test reporting tools such as Allure or JUnit XML - Good understanding of microservices architecture and ability to test across distributed systems (basic familiarity with Kubernetes is a plus) - Comfortable using AI-assisted development tools (e.g. Claude Code, Cursor, GitHub Copilot) in daily work - Familiarity with test case management tools such as TestRail - Familiarity with Jira and Confluence - Strong English communication skills (B2+) - Self-organised, proactive, and comfortable working in a distributed team Requirements - Experience with TDD/BDD approaches (e.g. Cucumber, Gherkin) - Experience with service virtualisation / mocking tools (e.g. WireMock) - Experience with performance and load testing using Locust or similar tools - Experience with TestContainers or containerised test infrastructure (e.g. Couchbase, PostgreSQL) - Background in iGaming, sportsbook, or regulated online betting platforms Responsibilities - Design, build, and maintain automated tests across unit, integration, end-to-end, and performance levels, in line with the BetSymphony testing approach - Expand and maintain test coverage across platform services, and ensure all new features are properly covered with automated tests from the start - Build and maintain UI test automation for the Backoffice and Sportsbook frontend using Selenide/Selenium - Develop and maintain API tests (REST and WebSocket) for public and internal services such as Fixed Odds, Wallet, Promotions, and Cashout - Contribute to performance testing for key user flows like bet placement, settlement, sign-in, and cashout - Integrate automated tests into the CI/CD pipeline and ensure quality checks run on every build - Manage and maintain test cases and regression suites in TestRail, including smoke and feature-specific tests - Work closely with backend and frontend engineers to improve testability and catch issues early - Take part in Scrum ceremonies and help estimate testing effort during sprint planning - Support and mentor junior QA engineers when needed

Role Description - Own requirements for assigned product tracks — from discovery through Definition of Ready, across sportsbook, AI chatbot, and backoffice modules. - Facilitate backlog refinement and sprint planning sessions: prepare tickets, ensure acceptance criteria completeness, unblock estimation, and drive team alignment on scope. - Produce and maintain product and feature documentation in Confluence — architecture context, decision records, process flows, and integration specs. - Collaborate directly with the Solution Architect and Product Owner on feature decomposition and prioritisation decisions. - Define and document access control rules, validation logic, and edge-case flows for complex features (deposits, withdrawals, responsible gambling, bet placement, conversational UI flows). - Contribute to usability testing analysis — classify test outcomes, identify unexpected failure patterns, and translate findings into actionable defects or improvement items. - Support client-facing discovery and scope definition calls — prepare questions, capture decisions, produce written summaries. - Onboard new team members on product domain knowledge and serve as the go-to for product context questions. - Champion AI tooling adoption within the BA function — run demos, share prompt templates, and help peers integrate AI tools into their daily workflows. Qualifications - 5+ years as a Business Analyst on complex software products, with at least 1 year in iGaming or regulated digital platforms. - Proven ability to write production-quality requirements: user stories, acceptance criteria, and edge cases that are ready for development. - Fluency in Lean AI-SDLC workflows — able to drive discovery, refinement, and delivery cycles with speed and minimal waste; strong facilitation and presentation skills to align stakeholders and engineering teams effectively. - Proficiency with Jira (ticket management, sprint tracking) and Confluence (documentation, decision records, knowledge base). - Excellent written and spoken English (C1) — you’ll be writing specs and participating in client-facing calls independently. - Strong prioritisation skills — able to manage a complex, multi-track backlog, make confident trade-off decisions, and context-switch between workstreams without losing quality or pace. - Resilience and composure in a high-pressure, fast-changing environment — comfortable with ambiguity, shifting priorities, and tight delivery timelines. - Comfort working with incomplete information — able to drive clarity through structured discovery rather than waiting for perfect inputs. - Actively uses AI tools (Claude, ChatGPT, or equivalent) in daily BA work — requirements drafting, document comparison, acceptance criteria generation, impact analysis, and meeting summaries. - Able to write effective prompts for requirements decomposition: turning a vague feature idea into a structured set of user stories with edge cases. - Understands LLM concepts at a product level: prompt engineering, context windows, hallucination risks, topic classification — enough to be a competent BA on an AI-powered product. - Comfortable reviewing and contributing to AI-generated user stories and test cases — knows when the output is good enough and when it needs human correction. - Familiar with AI workflow automation tools (Cowork, n8n, Make, or similar) for automating repetitive BA tasks such as report drafting or ticket updates. - Curious and self-directing about new AI tooling — experiments independently and shares learnings with the team. Requirements - Nice to have: - Experience with sports betting or casino domain: understanding of bet slip mechanics, odds formats, markets, PAM (Player Account Management). - Experience on a sportsbook backoffice platform (trading, market configuration, manual bet placement, liabilities, bet ticker). - Familiarity with multi-tenant / multi-brand SaaS platform architecture and the requirements complexity that comes with it. - Background writing requirements for chatbot, conversational AI, or virtual assistant products — intent mapping, dialogue flows, fallback handling. - Knowledge of KYC/AML compliance requirements in regulated gambling jurisdictions (UK, Africa, EU).

Role Description We are looking for a Service Delivery Manager. You will lead delivery on projects covering full SDLC with full ownership and responsibility for quality and deliverables. About You - You have strong experience in client and stakeholder management. - You have excellent communication skills and can build strong relationships with individuals at various seniority levels, communicating effectively even in demanding situations. - You are people-oriented and understand business will not run if the right people are not hired on time. - You have excellent organisational skills and can manage multiple projects simultaneously. - You have strong prioritisation skills, attention to detail, and critical thinking. - You have a good understanding of Agile software development methodologies. - You have a good understanding of main technologies and practices used in software development. - You are a team player. - You have a sense of urgency and take ownership of your projects. - You are fluent in English, both written and spoken, and have great presentation skills. Responsibilities - Delivery excellence: - Ensure services are delivered as promised in the Statement of Work (SOW) and meet client expectations. - Handle project changes smoothly, establishing a clear change process, managing the human impact, and continuously improving the approach. - Develop proper framework according to the project needs. - Build the right team to manage key processes like DevOps, QA, and UX. - Track performance with key metrics and regular reports to find areas for improvement. - Ensure systems are reliable, scalable, and meet performance standards. - Identify potential risks early and take action to handle them. - Create and follow plans to ensure projects are executed successfully. - Keep track of technical issues and fix them to maintain system health. - Provide accurate resource estimates and create roadmaps to guide project progress. - Ensure projects are properly wrapped up, with lessons learned documented for future improvements. - Help plan budgets by providing inputs for accurate financial forecasts. - Track revenue and profitability, and manage invoices according to company processes. - Client relationship management and business growth: - Build strong relationships with clients, being their main contact for service-related matters. - Act as a trusted advisor by aligning delivery outcomes with client goals. - Understand client needs and manage their expectations clearly. - Measure client satisfaction with regular surveys and use feedback to make improvements. - Lead proposal preparation in the pre-sales process, including organizing the pre-sale team and setting communication protocols. - Prepare and deliver compelling proposals that align with client needs and priorities. - Communicate clearly with clients to build strong working relationships. - Collaborate with internal teams to align services with client needs and expectations. - Participate in business trips as needed. - Understand various contractual models (e.g., Fixed Price vs. Time-and-Material) for effective project execution. - Collaborate with client partners and clients to find new opportunities to grow your client account. - Create budget projections and manage costs effectively, in collaboration with the Client Partner. - Prevent and address client escalations effectively to maintain satisfaction and trust. - People management: - Build a great team by finding and hiring the best people. - Design and implement initiatives to boost team morale and engagement. - Help your team develop their careers and grow. - Make sure everyone knows what's expected and how to succeed. - Facilitate conversations to help the team resolve conflicts and maintain a positive work environment. - Compensation Management: - Take part in initiatives to address key organizational goals, drive innovation, and improve our work and culture. - Help teams navigate organizational changes while keeping business goals in mind. - Collaborate with other teams to align services with client needs and improve our services.